Systematic Study of Bacterial Phenotypes Caused by ... · Systematic Study of Bacterial Phenotypes...
Transcript of Systematic Study of Bacterial Phenotypes Caused by ... · Systematic Study of Bacterial Phenotypes...
Systematic Study of Bacterial Phenotypes Caused by Pseudomonas aeruginosa Prophage Adaptive Genes
by
Yu-Fan Tsao
A thesis submitted in conformity with the requirements for the degree of Master of Science
Department of Molecular Genetics University of Toronto
© Copyright by Yu-Fan Tsao 2015
ii
Systematic Study of Bacterial Phenotypes Caused by
Pseudomonas aeruginosa Prophage Adaptive Genes
Yu-Fan Tsao
Master of Science
Department of Molecular Genetics
University of Toronto
2015
Abstract
In addition to being the major predator of bacteria, some bacteriophages adapted a symbiotic
relationship with their bacterial hosts through the formation of prophages. Unique genes in
prophages known as Prophage Adaptive Genes (PrAGs) function to alter host biological
processes, and they contribute greatly to bacterial pathogenicity. I aimed to investigate the
phenotypic effects of PrAGs on Pseudomonas aeruginosa, an opportunistic human pathogen.
Individual PrAGs in P. aeruginosa PA14 or PAO1 strain background were screened for bacterial
phenotypes related to virulence and survivability, including phage resistance, motility,
production of biofilm and pyocyanin, and virulence in Drosophila melanogaster. I found that 11
out of 17 PrAGs screened modified the host phenotype in some manner. In addition, some of
them were observed to affect multiple phenotypes or cause bacterial strain-specific changes,
which suggests that PrAGs interact with host components to cause the phenotypes observed.
iii
Acknowledgments
My journey through Master’s study has been a wonderful one, and I want to thank all the people
who made this possible. Without any of you, I would not be standing where I am today. First of
all, I would like to express my gratitude to my supervisors Dr. Karen Maxwell and Dr. Alan
Davidson for allowing me to work in their labs and providing me with all the resources and
guidance for my graduate study. Their continual support, both academically and mentally, has
helped me pass numerous obstacles in the past few years and is the key to the successful
completion of this project.
I would also like to thank my committee members Dr. Trevor Moraes, Dr. Alex Ensminger and
Dr. John Parkinson for their helpful advice throughout my study. They guided me forward in my
project while keeping me on track. Every committee meeting was valuable to me as they always
clear away confusion and inspire me with new ideas. Special thanks to Dr. Trevor Moraes and
his lab members for their help with structural studies. I have learned a lot about protein structures
and X-ray crystallography through working with the Moraes lab. In addition, I would like to
thank Dr. Paul Sadowski for sharing his experiences in experimental techniques and other
helpful comments.
Thanks to all the past and present members of the Maxwell and Davidson labs for their input and
inspirations at the lab meetings and elsewhere. They made the lab environment and my
experience there really positive and enjoyable, and they have also filled my life outside of the lab
with laughter and happiness. Especially, I need to thank Diane Bona for guiding me through my
early days in the lab as well as assisting me with my experiments, and Joe Bondy-Denomy for
his work on prophages that led to my project and his valuable guidance. I also wish to thank
Nichole Cumby, Senjuti Saha, Smriti Kala and Kris Hon for answering thousands of my
questions, helping and mentoring me through my study, and being such great friends. My
graduate school life will be very different without them.
Finally, I would like to thank my parents Charles Tsao and Jennifer Fu, my brother Oliver Tsao,
my boyfriend Dan Cheng and all my friends for their love and encouragement through stressful
times which made my journey so much easier and wonderful.
iv
Table of Contents
Acknowledgments .......................................................................................................................... iii
Table of Contents ........................................................................................................................... iv
List of Tables ................................................................................................................................. vi
List of Figures ............................................................................................................................... vii
List of Abbreviations ................................................................................................................... viii
Chapter 1 Introduction .................................................................................................................... 1
1.1 Bacteriophages and their Life Cycle ................................................................................... 1
1.2 Bacteriophages and Human Health ..................................................................................... 2
1.3 The Importance of Bacteriophages in Bacterial Physiology ............................................... 3
1.4 Prophage Adaptive Genes (PrAGs) .................................................................................... 5
1.5 Pseudomonas aeruginosa – An Opportunistic Human Pathogen ....................................... 7
1.5.1 P. aeruginosa and Human Health ........................................................................... 7
1.5.2 Virulence Factors of P. aeruginosa ........................................................................ 8
1.6 P. aeruginosa Prophages and PrAGs ................................................................................ 10
1.7 Thesis Objectives .............................................................................................................. 10
Chapter 2 Materials and Methods ................................................................................................. 12
2.1 Construction of Expression Plasmids and Protein Test Expression in E. coli .................. 12
2.2 Transformation of plasmids into P. aeruginosa ............................................................... 12
2.3 PCR Reactions and Colony Screening .............................................................................. 13
2.4 Bacterial Growth ............................................................................................................... 13
2.5 Twitching Motility Assay ................................................................................................. 14
2.6 Swimming Motility Assay ................................................................................................ 14
2.7 Induction of P. aeruginosa Lysogens and Plaquing Assays ............................................. 15
v
2.8 Drug Resistance Assay ..................................................................................................... 15
2.9 Biofilm Production Assay ................................................................................................. 15
2.10 Virulence Assay ................................................................................................................ 16
Chapter 3 Results .......................................................................................................................... 17
3.1 Acknowledgement ............................................................................................................ 17
3.2 P. aeruginosa PrAGs possess diverse genomic and bioinformatics properties ................ 17
3.3 The PrAGs all express and make proteins in E. coli ......................................................... 19
3.4 Some PrAGs introduce growth defects in the bacterial host ............................................ 21
3.5 PrAGs increase bacterial survivability by protecting their hosts from phage infection ... 24
3.6 Bacterial motility is often modified by PrAGs ................................................................. 29
3.7 PrAGs are capable of altering the production of bacterial virulence factors .................... 33
3.8 Two PrAGs modify bacterial virulence in Drosophila melanogaster .............................. 36
Chapter 4 Discussion and Future Directions ................................................................................ 38
References ..................................................................................................................................... 45
Appendix ....................................................................................................................................... 53
vi
List of Tables
Table 1. Summary of PrAGs included in this study. .................................................................... 19
Table 2. Increase in phage resistance caused by PrAG expression in PA14 compared to no PrAG
expression. .................................................................................................................................... 25
Table 3. Fold increase in phage resistance caused by PrAG expression in PAO1 compared to no
PrAG expression. .......................................................................................................................... 26
Table 4. Difference in phage resistance caused by PrAG expression in PA14 and PAO1. .......... 28
Table 5. List of drugs tested in drug resistance assay. .................................................................. 29
Table 6. Summary of host phenotypic changes caused by PrAGs in P. aeruginosa PA14 and
PAO1 strains. ................................................................................................................................ 43
vii
List of Figures
Figure 1. The life cycle of a bacteriophage. .................................................................................... 2
Figure 2. Example of PrAGs identified in phage genomes. ........................................................... 6
Figure 3. Genome comparison between related phage strains and positions of PrAGs. .............. 18
Figure 4. Protein expression of PrAGs in E. coli. ......................................................................... 20
Figure 5. PrAG expression affect bacterial growth rate. .............................................................. 23
Figure 6. Some PrAGs affect twitching motility of P. aeruginosa. ............................................. 30
Figure 7. PrAGs could alter swimming motility of the bacteria. .................................................. 32
Figure 8. PrAGs cause changes in bacterial biofilm production. ................................................. 34
Figure 9. JBD5-4 alters the levels of pyocyanin produced by P. aeruginosa. ............................. 35
Figure 10. PrAGs have effects on bacterial virulence towards Drosophila malenogaster. .......... 37
Figure 11. PrAG expression affect various bacterial elements. .................................................... 44
Figure 12. Detail genome alignment for phages used in this study. ............................................. 53
viii
List of Abbreviations
ATPase adenosine triphosphatase
BLAST basic local alignment search tool
cm centimeter
C. botulinum Clostridium botulinum
C. diphtheria Corynebacterium diphtheriae
CF cystic fibrosis
CFTR cystic fibrosis transmembrane conductance regulator
d day
°C degrees Celsius
dNTP deoxynucleotide
DNA deoxyribonucleic acid
ssDNA single-stranded deoxyribonucleic acid
dsDNA double-stranded deoxyribonucleic acid
D. malenogaster Drosophila malenogaster
EV empty vector
E. coli Escherichia coli
EPS extracellular polymeric substance
gp gene product
g gram
ix
h hour
IPTG isopropyl β-D-1 thiogalactopyranosaide
kDa kilodalton
λ Enterobacterophage lambda
LB lysogeny broth
NaCl sodium chloride
µg microgram
µL microliter
μM micromolar
mL milliliter
mm millimeter
mM millimolar
NCBI National Center for Biotechnology Information
OD optical density
OD595 optical density measured at 595 nm
OD600 optical density measured at 600 nm
ORF open reading frame
PCR polymerase chain reaction
PrAG Prophage Adaptive Gene
P. aeruginosa Pseudomonas aeruginosa
x
ssRNA single-stranded ribonucleic acid
dsRNA double-stranded ribonucleic acid
RNAseq ribonucleic acid sequencing
S. enterica Salmonella enterica
SDS-PAGE sodium dodecyl sulfate polyacrylamide gel electrophoresis
S. aureus Staphylococcus aureus
S. mitis Streptococcus mitis
T4P Type IV pili
V. cholerae Vibrio cholera
V volt
w/v weight/volume
1
Chapter 1 Introduction
1.1 Bacteriophages and their Life Cycle
In the early 1900s, Twort and d’Herelle first discovered bacteriophages (phages), the viruses that
specifically infect bacteria. They are the most abundant biological entity on earth with an
estimated population of 1031, outnumbering their bacterial host by approximately 10 fold1. Their
population is widely spread as they can be identified in all places where their bacterial hosts are
found, including soil, water, plants, animals and all non-sterile sites in the human body2,3.
According to the International Committee on Taxonomy of Viruses, phages were classified into
different families based on their virion morphology and form of nucleic acid4. Phages virions can
be binary (tailed), cubic, helical or pleomorphic5. Most of the phages contain double-stranded
(ds) DNA as their genetic material, while some phages have single-stranded (ss) DNA, dsRNA
or ssRNA5. Phages, having narrow host range6 and high population in a given environment, are
actively involved in shaping the composition of the bio-community, genetic transfer, nutrient and
energy recycling and they are an important factor in bacterial evolution7.
Phages are suspected to have originated from bacterial gene clusters that escaped from cellular
control resulting in a lifeform that do not have the necessary machinery to replicate themselves.
In order for a phage to replicate its genome, it must infect a bacterial host. Upon infection,
phages inject their genetic material into the bacterial cell, where they can go into two different
lifecycles: the lytic cycle or the lysogenic cycle (Figure 1)5. According to how phages behave
during infections, they can be virulent or temperate5. Virulent phages only go through the lytic
cycle, while temperate phages are able to survive with either life cycle. During the lytic cycle,
the phage proteins are actively produced and assembled into phage virions inside the bacterial
cell. Eventually, the phage particles exit the host, usually through lysis which kills the host cells.
In the lysogenic life cycle, the phage genome is either maintained as a plasmid or gets integrated
into the bacterial genome, forming a prophage. In this state, most of the phage genes are silenced
by a repressor protein. The prophage is replicated passively when the bacterial cells divide.
Although prophages can remain in the bacterial genome for numerous generations, temperate
phages are able to switch from the lysogenic cycle to the lytic cycle when the bacterial cell is
2
under certain stress conditions, including DNA damage8, changes in temperature or pH9, and
exposure to heavy metal9 or oxidative radicals10.
Figure 1. The life cycle of a bacteriophage.
When a phage infects a bacterial cell it injects its genetic material into the host cell and it can
replicate itself through two different life cycles: the lysogenic cycle or the lytic cycle. In the
lysogenic cycle, the phage DNA gets incorporated into the bacterial genome, and it is replicated
passively with the host genome through host cell divisions. In the lytic cycle, the phage genome
is replicated and phage proteins are produced and assembled into phage virions. Eventually, the
mature phage particles exit the host cell via lysis. Phages can switch from lysogenic to lytic cycle
upon induction by cell stress, such as DNA damage.
1.2 Bacteriophages and Human Health
Although bacteriophages do not infect any other organisms except bacteria, they can exert
profound effects on mammalian health indirectly through their bacterial hosts. Bacteriophages
are found in any environments where bacteria reside, including inside human bodies. Up to 1015
bacteriophage particles are found in the human gut, and the phage populations in the body are
sometimes referred to as the phageome11. The relationship between bacteriophages, bacteria and
humans is very complex, and our knowledge on the impact of phages on human health is limited.
Phages are known to encode genes that modify various biological processes in the bacterial life
cycle12. Based on how phages infect and alter the physiology of their host, they are likely
3
involved significantly in the shaping of the number and diversity of bacteria in the human
microbiome. In one example, studies have shown that both the phage and bacteria population in
the gastrointestinal tract of healthy individual and Crohn’s disease patients were noticeably
different13-16. It is possible that differences in the phageome contribute to the difference in
microbiota and the onset of the disease, but further studies are required to confirm this
hypothesis.
In addition to the natural residence in human bodies, phages have been used to treat bacterial
infections as an alternative to antibiotics as early as 192117. Recent successful use of phage
therapy was reported in Pseudomonas aeruginosa and Staphylococcus aureus infection models18-
21, which suggests the potential of phage therapy becoming more common in the future,
especially against antibiotic-resistant bacteria. Phages have also been investigated as direct
treatments or vectors to deliver vaccines and anticancer agents in order to prevent or treat human
diseases22-24. There are also cases where phages were used in food safety, where they were added
during food production to reduce pathogens in the food chain25,26. Phages play important roles in
bacterial and human biology, and as potential disease treatments and clinical biomarkers, their
applications in human health will likely increase as our knowledge of them expands.
1.3 The Importance of Bacteriophages in Bacterial Physiology
As previously mentioned, some phages replicate themselves by infecting and lysing bacterial
cells, and the number of phage exceeds the bacteria by approximately 10 fold. As a result, phage
killing has been the major way of how phage affect bacterial physiology, and it is also one of the
most common factors limiting bacterial population levels.
While phages are seen as parasitic to bacteria in the traditional view, the prophage exists in a
symbiotic relationship with the bacterial host. There are numerous known cases where prophage
genes make the bacteria more fit by enhancing its survivability or virulence. The most common
way of phages contributing to bacterial virulence is the encoding of extracellular toxins within
prophage genomes. Prophages were found to encode various toxins produced by both Gram-
positive and Gram-negative bacteria, including C. botulinum27, C. diphtheria28,29, V. cholerae30
and E. coli31-33. The phage-encoded toxins aid the bacteria in invading their targets via various
mechanisms, such as inhibiting protein synthesis (e.g. shiga toxin34) or interfering with
mammalian immune-response (e.g. enterotoxins35), and they are often the main cause of
4
diseases. Prophages can also encode proteins which help their host during initial bacterial
infection, for example, S. mitis surface proteins PblA and PblB that are important for adhesion
onto target cells36,37 as well as the Group A Strepotococcal hyaluronidase that is essential for
invasion38 are both encoded by prophages. Once the bacteria is inside the target cell, the
prophage can protect the bacterial host from the human immune system via a variety of methods.
Some prophages encode enzymes that alter the bacterial antigens to help evade immune-
responses, such as the O-antigen acetylase (oac) encoded by Shigella flexneri Sf6 prophage,
which is able to convert the serotype of its bacterial host 39,40. Other prophages encode proteins
that interfere with components of the mammalian immune system. For example, the chemotaxis
inhibitory protein encoded by Staphylococci prophage binds to neutrophil receptors and
attenuates its activity41. The S. aureus prophage encodes another such protein known as Panton-
Valentine leucocidin, a cytotoxin that directly targets and attacks human phagocytes42. There are
also examples where a prophage protects bacterial hosts from oxidative stress generated by
mammalian immune system, such as the superoxide dismutase (SodC) encoded by S. enterica
Gifsy-2 prophage which neutralizes superoxide radicals in phagocytes43. Thus, prophages
contribute greatly to bacterial pathogenicity by a variety of mechanisms.
In addition to protecting their hosts during bacterial infections, prophages were also found to
increase the survivability of the host in different environments. Through increasing the fitness of
their hosts, the phages themselves gain benefit as more copies of the prophage are replicated
when the bacterial cells divide. Therefore, the most successful phages likely express genes that
enhance the fitness of their host. Prophages encode proteins that protect the bacteria from further
phage infections. For example, the superinfection exclusion protein gp15 in E. coli is encoded by
the HK97 prophage44. Since phage killing is one of the main factors limiting bacterial population
levels, blocking phage infections results in higher survivability for the bacterial host. It is
believed that phages may be involved in the transduction of antibiotic-resistance genes among
bacteria. Studies have shown that the rate of phage transduction of non-phage genetic elements is
much higher than previously known45, and gene sequences related to antibiotic-resistance were
found in viral population in human gut and lungs46. In addition, antibiotic treatment has been
observed to increase the number of antibiotic-resistance genes detected in the phage genome47.
These findings suggest that phages may contribute indirectly to the distribution of host resistance
genes against various antibiotics in both environmental and clinical bacterial strains.
5
Multiple prophage elements can be found integrated in a bacterial genome, averaging around 3-
10% of the host genome48. An extreme case involves the enterohemorragic E. coli 0157:H7,
which harbours a total of 18 prophages, making up 16% of its entire genome content49. While
single prophages can cause a significant effect on bacterial phenotypes, the interactions between
multiple prophages can lead to very diverse phenotypic outcomes. Therefore, in order to
understand the physiology of bacteria, it is essential to note the importance of prophages, as they
contribute greatly to bacterial diversity and evolution.
1.4 Prophage Adaptive Genes (PrAGs)
As previously mentioned, prophages cause a wide variety of phenotypic effects in their bacterial
hosts, and they are able to do so through a class of genes we call Prophage Adaptive Genes
(PrAGs). Some of these genes have also been referred to as “accessory genes” or “morons”12,50.
PrAGs are phage genes that are not essential for the lytic or lysogenic phage life cycle. Since
they are non-essential genes, the presence of PrAGs is not necessarily conserved among related
phage strains, and their positions in the genome can be variable. These genetic elements are
thought to be inserted into the genome from a foreign source via horizontal gene transfer, as
many PrAGs have homologs in the bacterial genome outside of the prophage-encoded regions.
For example, the Pseudomonas phage D3-encoded O-antigen acetylase (Oac) has several
bacterial homologs, including the Pseudomonas acetyltransferases (WbpC proteins)12,51. Since
related phage genomes tend to have conserved gene orders, PrAG elements can be easily spotted
through genome alignments as they are usually only present in one or a few genomes (Figure 2).
PrAGs have been identified in many phage genomes, and they can be diverse in sequence and
function.
6
Figure 2. Example of PrAGs identified in phage genomes.
Since the presence of PrAGs are not necessarily conserved, they can be easily spotted through
genome alignment of closely related phages that have conserved gene orders, such as P.
aeruginosa phages JBD30, JBD23, JBD5 and DMS3. Gene JBD30-30 (red arrow a) and DMS3-
25 (red arrow b) are PrAGs identical in sequence and are found between the phage small and
large terminase genes in JBD30 and DMS3, but they are not present in JBD23 or JBD5. Note
that the small terminase genes share more than 90% identity and the large terminase gene share
35-99% identity in the phage genomes examined.
When expressed from a prophage, PrAG elements may modify the physiological properties of
the host cell. In fact, many of the effects on bacterial virulence and survivability mentioned
previously that are caused by prophages arose from the expression of PrAGs. In some examples,
prophages protect their hosts from further phage infections by expressing PrAGs to inactive
receptors on bacterial cell surface required for phage entry (e.g. Cor proteins expressed by E. coli
phages HK022, N15 and ϕ80 inactivate FhuA receptors52), or through other mechanisms (e.g.
PrAG gp15 from E. coli phage HK97 was hypothesized to block the formation of the phage entry
complex in the bacterial cell membrane as it has been shown to be responsible for the
superinfection exclusion phenotype observed in the lysogen44,53). In other examples, PrAGs help
their bacterial host in invading mammalian cells (e.g. PrAG-expressed λ Lom protein in E.
coli54and SopE protein expressed by Salmonella phages55) or surviving the mammalian immune
system (e.g. Bor protein expressed from λ PrAG protect the host from serum killing56). The
previously described bacterial toxins encoded by prophages are also PrAGs, including cholera,
diphtheria, botulism and shiga toxins27-32, which directly enhance the virulence of the bacterial
hosts. Although a number of PrAGs have been shown to be of great importance in bacterial
biology, the biological roles of most PrAGs are still unknown.
7
1.5 Pseudomonas aeruginosa – An Opportunistic Human Pathogen
Pseudomonas aeruginosa is a ubiquitous, gram-negative bacterium that can be found in diverse
environments, including soil, water and inside animal hosts. P. aeruginosa and its phages are
great model organisms for the studies of prophages, PrAGs, and their effects in bacterial
pathogenesis, because this bacterium is well-studied with many fully-sequenced bacterial and
phage strains. P. aeruginosa is also known to produce a large number of virulence factors, most
of which are well-characterized with techniques and assays available for related studies. In
addition, P. aeruginosa infects a variety of hosts, including several common model organisms,
such as Drosophila melanogaster57,58 and Caenorhabditis elegans59, which can be used to
measure the virulence level of P. aeruginosa with infection models.
1.5.1 P. aeruginosa and Human Health
P. aeruginosa is one of the most common opportunistic human pathogens. It is able to infect
humans who are immuno-compromised or elderly, as well as patients with burns, lung diseases,
open fractures or other injuries. P. aeruginosa infections often lead to complication of disease
states or secondary fungal infections, and in some cases can result in the death of the patient.
This bacterium especially causes serious issues among cystic fibrosis patients. Cystic fibrosis
(CF) is a genetic disorder caused by mutations in the cystic fibrosis transmembrane conductance
regulator (CFTR) gene, resulting in non-functional chloride ion channel important for the
production of sweat, digestive fluids and mucus60. The disease mainly affects the lungs, but it
can also affect intestines, liver, kidneys and pancreas61. P. aeruginosa can worsen CF conditions,
since it is commonly found in the lungs of the patients, where it can cause both acute and chronic
infections in the respiratory systems62. P. aeruginosa infections among CF patients can be severe
and persistent as the bacterial strains often possess high resistance to multiple antibiotics. In
addition, the ability of the bacteria to grow in various conditions significantly increases the
occurrence of new infections and outbreaks in hospitals 63. Because of its infectious and highly
drug-resistant nature, P. aeruginosa is a huge concern for public health, and many studies have
been done in the hope of developing effective treatments against these infections64,65.
8
1.5.2 Virulence Factors of P. aeruginosa
P. aeruginosa expresses various virulence factors, some of which help the bacteria invade a wide
spectrum of hosts, including mammals, plants and insects, while others enable the bacteria to
survive environmental stresses, such as antibiotic treatment and mammalian immune response.
The expression of virulence factors in P. aeruginosa is controlled by the quorum sensing
system66. The quorum sensing system is an intercellular communication network that is
responsible for the regulation of bacterial virulence based on the cell density in the surrounding
environment66. This study focused on investigating the phenotypic effects of PrAGs on three P.
aeruginosa virulence factors: bacterial motility, production of biofilm and pyocyanin.
1.5.2.1 Bacterial Motility
In P. aeruginosa, motility is mediated by two cell surface structures known as the Type IV pilus
(T4P) and the flagellum. The T4P is responsible for twitching motility, which describes the
ability of the bacteria to move across solid surfaces. The main T4P structure is a polymer of
Type IV pilins (PilA), and it is connected to an ATPase motor (PilT, PilB and PilU) associated
with the inner cell membrane 67,68. The ATPase motor enables pilus retraction motion that moves
the bacteria on surfaces69. The flagellum is involved in bacterial movement in liquid
environment, which is termed swimming motility. The flagellum is a long helical filament made
of thousands of flagellins (FliC), and the swimming motility is achieved by reversibly rotating
the flagellum driven by membrane rotor proteins (MotA and MotB)70. The expressions of both
the T4P and the flagellum are regulated by the quorum sensing system in P. aeruginosa.
Twitching and swimming motility is important in P. aeruginosa virulence, because it allows the
bacterial cells to be motile, meaning that the bacteria can more easily gain access to nutrients and
host cells during infection. Bacterial pili and flagella are also involved in adhesion71, biofilm and
microcolony formation72, which protect the bacteria from external threats, such as anti-microbial
agents. In addition, since these surface structures are often targets for the host immune system
and phage attachment, through down-regulation of gene expression or alteration of their
structures, the bacteria can use pilus and flagellum as a method for immune escape and phage
resistance73. Indeed, studies have shown that there are significant differences in pilin alleles
between P. aeruginosa isolates from CF and non-CF patients74, suggesting that bacteria
possesses different pilin types that may be advantageous in different situations.
9
1.5.2.2 Biofilm
Biofilm is an extracellular polymeric substance (EPS) matrix produced by P. aeruginosa and
many other bacteria to facilitate growth in a protected environment. The EPS matrix is composed
of polysaccharides, extracellular DNA and proteins75,76. They function to hold the bacterial cells
together, forming a microcolony. The production of biofilm in P. aeruginosa is mainly regulated
by the quorum sensing system77, but there are also reports of the involvement of T4P and
flagellum in biofilm development and maturation78. As an important virulence factor, biofilm
protects the bacteria from a wide variety of environmental stressors, including antibiotics and the
host immune responses79,80. The biofilm also promotes genetic exchanges between bacterial
cells81 and aids in the acquisition of nutrients by concentrating cell densities. Due to the nature
and function of the biofilm, it plays a key role in the establishment of chronic infections in CF
patient lungs82.
1.5.2.3 Pyocyanin
Pyocyanin is a redox-active secondary metabolite produced by P. aeruginosa, and it is also a
blue color pigment that gives the bacterium its unique bluish-green color. Pyocyanin is important
for the bacteria as it is known to be involved in various biological processes, for example, it
participates in the reduction and release of iron from transferrin in bacterial iron metabolism, and
it acts as an electron shuttle during bacterial respiration83. The biosynthesis of pyocyanin is
mainly mediated by the phzABCDEFG operons and extra genes, and the expression of these
genes are regulated by the quorum sensing network involving multiple regulatory pathways84,85.
As a virulence factor and a bacterial toxin, pyocyanin contributes greatly during P. aeruginosa
infections; it has been recovered from CF patient sputum in large quantities and was shown to be
crucial for lung infection in mice84,86. Pyocyanin generates reactive oxygen intermediates,
creating oxidative stress inside target cells, which results in target cell death84. In the mammalian
system, pyocyanin is known to cause multiple cellular damages, including inhibition of cell
respiration, interference with ciliary function87 and disruption of calcium homeostasis88. In
addition to its role in bacterial infections, pyocyanin has anti-bacterial and anti-fungal
activities83,89,90, which provides advantages for P. aeruginosa when competing with other micro-
organisms.
10
1.6 P. aeruginosa Prophages and PrAGs
Although there are numerous examples of prophages involved in the modification of bacterial
phenotypes, there have been no systematic studies performed. Joe Bondy-Denomy, a former
student in the Davidson lab, conducted a systematic study of prophages in P. aeruginosa, where
he created lysogens, each with a different phage in the same bacterial strain background91. He
observed differences in various bacterial phenotypes related to the virulence and survivability of
P. aeruginosa, in the presence compared to the absence of prophages. For example, when Joe
inserted phage JBD26 into P. aeruginosa strain PA14, the bacteria gained increased resistance
against several phages, including JBD24, JBD23 and JBD591. JBD26 and JBD16C lysogens
were also observed to cause defects in twitching and swimming motility, respectively91. Even the
insertions of closely related phages in the host genome could result in different host phenotypes.
For example, phages JBD26 and JBD30 have very similar genomic composition, however, their
lysogens display significantly different phage resistance patterns91. Since related phages have
conserved gene orders, Joe was interested in pinpointing the cause of phenotypic modifications
through comparisons of the phage genomes. Because of the high sequence identity conserved
between these phages, Joe was able to identify a number of PrAGs that were not conserved
between strains, and thus were likely responsible for the host phenotypic changes. Through
studies of PrAGs and their effects on bacterial physiology, we hope to gain insight into P.
aeruginosa infections and the development of successful therapies.
1.7 Thesis Objectives
My thesis project aims to determine the specific genes responsible for the phenotypic changes
arising from prophage integration. I conducted a systematic study of PrAGs cloned from the
collection of JBD phages and characterized the effects of their expression on a variety of host
cell phenotypes, including: growth, resistance to phage infection and antibiotics, twitching and
swimming motility, biofilm production, pyocyanin production, and virulence in a Drosophila
malenogaster model of disease.
As the expression of phage genes and the movement of phages between bacterial strains are
common, they can cause variability in bacterial infections and make them difficult to treat.
Depending on the phages present in a given clinical isolate, different types of treatments may be
most effective. A catalog of PrAG phenotypes and other knowledge gained from my work will
11
help in understanding the contribution of phages to bacterial pathogenesis, and form the basis of
future research for personalized treatment against P. aeruginosa infections.
12
Chapter 2 Materials and Methods
2.1 Construction of Expression Plasmids and Protein Test Expression in E. coli
The 17 PrAGs were cloned into p15TV-L E. coli expression plasmids, expressed under the
control of the T7 promoter and tested for protein expression by Diane Bona. In brief, the gene
coding sequences were amplified from PA14 lysogens using pfx DNA polymerase (Invitrogen)
in polymerase chain reactions (PCR) and inserted into p15TV-L plasmids with In-Fusion HD
EcoDryTM Mix (Clontech) following the product protocol. The ligation mixtures were then
transformation into E. coli calcium chloride competent DH5α cells. The colonies obtained were
PCR screened for the correct size gene insert. Positive plasmids were purified using Qiagen
technologies and the correct gene insert was confirmed by DNA sequencing.
Protein test expression was performed to confirm the ability of the PrAGs to produce proteins in
E. coli strain BL21. Overnight cultures grown in LB media were sub-cultured 3 in 100 into fresh
LB media and grown at 37°C shaking until OD600 = 1. 0.8 mM IPTG was then added to the
culture to induce protein expression at 37°C for 3-4 hours. To assess solubility, 1 mL of induced
culture was spun down and resuspended in 200μL BugBuster Protein Extraction Reagent
(Novagen). The samples were incubated at room temperature for 30 minutes, and the cell debris
was collected by contrifugation. 50 μL of supernatant was mixed with 50 μL of 2x SDS-PAGE
loading buffer to prepare SDS-PAGE samples. For the whole cell fractions, 500μL of induced
culture was spun down and resuspended in 200μL 2x SDS-PAGE loading buffer. All SDS-
PAGE samples were boiled for 5 minutes at 100°C before being loaded on to the SDS-PAGE
gel. The expressions of the PrAG proteins were confirmed if protein bands of the expected size
were observed on the coomassie brilliant blue-stained SDS-PAGE gels.
2.2 Transformation of plasmids into P. aeruginosa
The 17 PrAG constructs were obtained from Joe Bondy-Denomy. The constructs have each of
the 17 PrAGs cloned into the pHerd30T expression plasmids individually. The expressions of the
PrAGs were under the control of a pBad promoter, which can be turned on by the addition of
arabinose. The plasmids were transformed into P. aeruginosa PA14 or PAO1 strains through
13
electroporation. To create electro-competent P. aeruginosa cells, overnight culture grown in LB
was spin down and washed twice with 300 mM sucrose, and then resuspended in 1/10th the initial
volume of 300 mM sucrose solution. Fresh made electro-competent cells were placed on ice for
5 minutes before the addition of 1 μL plasmids into 100 μL of cells. The mixture was incubated
on ice for 20 minutes, followed by electroporation at 2500 V. The electroporated cells were
immediately transferred into 900 μL LB and incubated at 37°C, with shaking for 1 hour. The
cells were spin down and plated on LB + gentamycin (50 μM/mL) plates. After overnight 37°C
incubation, any colonies grown on the plate could contain the desired plasmids, and were further
confirmed using PCR colony screens and sequencing.
2.3 PCR Reactions and Colony Screening
Bacterial colonies potentially containing the desired plasmids were screened using PCR before
sending for sequencing. PCR reactions were set-up with 1x Taq buffer with ammonium sulphate
(from 10x Thermo Scientific buffer stock), 3.5 mM magnesium chloride, 2.5 U Taq DNA
polymerase, 0.2 mM dNTPs, 1x PCR Enhancer solution and 2 μM of appropriate primers, and
inoculated with bacteria colonies. pBad forward and M13 reverse primers were used in all
colony PCR reactions with pHerd30T constructs, and the T7 promoter forward and reverse
primers were used in colony PCR reactions with p15TV-L constructs. The PCR program used
consisted of 94°C for 2 minutes, 30 cycles of: 30 seconds at 94°C, 30 seconds at 50°C, 1 minute
at 68°C, followed by 72°C for 10 minutes. The sizes of amplified PCR fragments were
determined by running on standard DNA gels.
2.4 Bacterial Growth
The growth rates of different strains of bacteria were determined by monitoring cell densities at
multiple time points through growth. Overnight cultures were diluted 1:100 into LB +
Gentamycin (50 μM/mL) + 0.1% (w/v) arabinose. 200 μL of diluted cultures were grown in 96-
well plates in Infinite F200 microplate reader (Tecan) with shaking at 37°C for 8 hours. The
growth curves were generated by measuring cell density at OD595 every 15 minutes during
growth.
14
2.5 Twitching Motility Assay
Twitching motility assay was used to assess the ability of the bacteria to move on solid media.
Thin plates containing LB broth + 1% (w/v) agar were prepared on the same day of the assay.
Gentamycin (50 μM/mL) and 0.1% (w/v) arabinose were added to the media prior to plate
pouring. Freshly poured plates were solidified in the biosafety cabinet with lids off for 20
minutes. Plates were inoculated by stabbing isolated colonies grown on overnight LB plates to
the bottom of the twitch plate, and the plates were incubated for 24 hours at 37°C. The agar was
carefully removed from the plates with a spatula, and the cells adhered to the plates were stained
with 1% crystal violet for 1 minute followed by 3 washes with water. The plates were dried
inverted overnight. The distance traveled by the bacteria was then determined by measuring the
diameter of the stain.
The twitching motility assay was performed with 3 technical replicates in each experiment, and
the experiments were repeated 3 separate times (biological replicates). The measurements from
all experiments were analyzed using a T-test, and the values were considered significantly
different from the empty vector control if P-value < 0.005.
2.6 Swimming Motility Assay
To study the movement of the bacteria in liquid media, swimming motility assays were
performed. The media used in this assay contained: 0.3% (w/v) agar, 1% (w/v) tryptone and
0.5% (w/v) NaCl. Thin plates were prepared on the same day of the assay. Gentamycin (50
μM/mL) and 0.1% (w/v) arabinose were added to the media prior to plate pouring. Freshly
poured plates were solidified in the biosafety cabinet with lids off for 20 minutes. Plates were
inoculated by stabbing isolated colonies grown on overnight LB plates to the bottom of the
swimming plate, and the plates were incubated for 24 hours at 37°C. The diameter of the area
traveled by the bacteria was then measured.
The swimming motility assay was performed with 3 technical replicates in each experiment, and
the experiments were repeated 3 separate times (biological replicates). The measurements from
all experiments were analyzed using a T-test, and the values were considered significantly
different from the empty vector control if P-value < 0.005.
15
2.7 Induction of P. aeruginosa Lysogens and Plaquing Assays
P. aeruginosa lysogens were grown overnight in LB media at 37°C. A few drops of chloroform
were added to the overnight culture, and cells were shaken for 30 minutes at 37°C. Cell debris
was collected by centrifugation and the supernatant containing phages was collected and stored
at 4°C.
The sensitivities of bacteria to various phages were assessed using the spotting assay. 150 μL of
overnight bacteria culture was mixed with 3 mL top agar (LB broth + 0.7% (w/v) agar) and
poured on top of thick 1.5% LB agar plates. 2 μL serial dilutions of freshly prepared P.
aeruginosa phage lysates were spotted on the surface of the plates. The plates were incubated
inverted at 37°C overnight. The following day, the phage titres were calculated by noting the
highest dilution where plaques were observed. The phage titres were compared between different
bacterial strains, and the fold changes in phage sensitivities were recorded.
2.8 Drug Resistance Assay
150 μL of overnight culture grown in LB media was mixed with top agar (LB broth + 0.7%
(w/v) agar) and poured on top of thick LB plates (LB broth + 1.5% (w/v) agar + 50 μM/mL
gentamycin + 0.1% (w/v) arabinose). Circular drug-containing discs (Sensi-Disc, BD) were
placed on top of the dried plates, and the plates were incubated at 37°C overnight. The drug
sensitivity of the bacteria was assessed by measuring the diameters of clear zones around the
drug discs.
2.9 Biofilm Production Assay
The assay protocol was adapted from O’Toole (2011)92. Overnight bacterial culture grown in LB
medium was diluted 1:100 into M63 minimum medium (3g monobasic potassium phosphate +
7g dibasic potassium phosphate + 2g ammonium sulphate dissolved in water into 1L solution)
supplemented with 1mM magnesium sulphate, 0.2% (w/v) glucose and 0.5% (w/v) casamino
acids. 100 μL of diluted culture was distributed into 96-well vinyl microtitre plates (Corning) and
incubated at 37°C for 24 hours without shaking. After incubation, the bacterial culture was
removed, the plates were washed 3 times with water and air dried. The wells were stained with
100 μL 0.1% crystal violet solution for 15 minutes at room temperature, followed by 3 washes
with water to get rid of excess stain. The plates were again air dried and the dye was dissolved in
16
125 μL 30% acetic acid for 15 minutes at room temperature. The dissolved dye was transferred
to Infinite F200 microplate reader (Tecan)-compatible 96-well plates, and the levels of biofilm
produced were determined through quatifying the amount of dye present in the wells by
measuring the OD at 595nm.
The biofilm production assay was performed with 3 technical replicates in each experiment, and
the experiments were repeated 3 times at different occasions (biological replicates). The
measurements from all experiments were analyzed using T-test, and the values were considered
significantly different from the empty vector control if P-value < 0.05.
2.10 Virulence Assay
The fly feeding virulence assay was used to determine the virulence of different P. aeruginosa
strains. This assay models the chronic P. aeruginosa infection in cystic fibrosis patient lungs.
The assay protocol was modified from Shen et al. (2012)57. In preparation for the fly feeding
experiment, bacteria were inoculated in LB and grown overnight at 37°C. 5 mL of molten
sucrose agar solution (5% (w/v) sucrose + 2.5% (w/v) agar) was poured into polystyrene
Drosophila vials (VWR) and let solidify overnight. The following day, bacterial cultures were
spun down, resuspended in 100μL 5% sucrose, and spotted onto sterile filter paper (Whatman
GF/A, 21 mm) on top of solidified sucrose agar in the fly vials. The volume of bacterial culture
used varied according to the cell density of different strains so that similar numbers of cells were
distributed in each vial. The vials were incubated at 37°C for 30 minutes, followed by 25°C for
another 30 minutes. Twenty pre-starved 3-5 day old male W1118 Drosophila melanogaster flies
were transferred into each vial using carbon dioxide pads. The vials were placed at 25°C
humidity-controlled dark environment, and the number of dead flies were recorded every 24
hours. Each experiment was performed with 100 flies (5 vials with 20 flies each), and the assay
includes at least 3 individual experiments.
17
Chapter 3 Results
3.1 Acknowledgement
A number of experiments in the study was performed with the help of Diane Bona and Smriti
Kala as outlined below:
(1) The cloning and protein test expression of PrAGs in E. coli was performed by Diane Bona.
(2) The drug resistance assay was conducted by Diane Bona and Smriti Kala.
(3) The virulence assay (fly feeding assay) was performed with the help of Diane Bona and
Smriti Kala.
3.2 P. aeruginosa PrAGs possess diverse genomic and bioinformatics properties
The PrAGs identified in P. aeruginosa phages were distributed throughout the entire phage
genomes (Figure 3). They were commonly found in the transposase, gam, terminase and tail
regions of the Mu-like phage genome (Figure 3A and B), and between the DNA helicase and
protein NinG in phage JBD44 (Figure 3C). Some of the PrAGs had homologs in several phages,
while some were unique and only present in one phage genome. Each of the 17 PrAGs I studied
are small in terms of gene sizes, and they produce proteins of less than 300 amino acids (Table
1). PrAGs are diverse and highly mobile genetic elements, they can frequently be transferred
between bacterial and phage genomes, even among different bacterial species. Some of the
PrAGs I studied have over 100 homologs found in a wide variety of Gram-negative bacterial
strains (Table 1). Within the P. aeruginosa phages I examined, the percent identity among PrAG
proteins range anywhere from 47% to 100% (Table 1). The genomic positions, sequence
identities and numbers of homologs suggests that PrAGs plays important roles in the life cycle of
P. aeruginosa and their presence is greatly influenced by evolution.
18
Figure 3. Genome comparison between related phage strains and positions of PrAGs.
The genome alignment of (A and B) Mu-like phages: JBD26, JBD30, JBD23, JBD5 and JBD24
and (C) phages JBD44 and JBD25. Genomes of close related P. aeruginosa phages were aligned
based on sequence similarities and gene functions. The light grey arrows represent genes of
known functions, and the dark grey arrows represent hypothetical genes. The putative PrAGs
were colored differently according to their homologies. The PrAGs studied in this project were
numbered.
19
Table 1. Summary of PrAGs included in this study.
PrAG
Number PrAG GenBank # Protein Length
(amino acids) Protein Size
(kDa)
% Identity range
for homologues
examined
Number of
homologs by
BLAST* 1 JBD30-4 AFQ21918.1 108 12.5 97-98% 4 2A JBD26-5 AGC24045.1 136 14.4 47-94% 16 2B JBD5-4 AFQ21801.1 69 7.6 47-94% 16 2C JBD24-4 AFQ21860.1 143 15.1 47-94% 29 3 JBD30-9 AFQ21923.1 211 23.6 95-100% 78 4 JBD23-13 N/A 125 13.6 97% 36 5 JBD26-14 AEY99459.1 93 10.0 77-100% 75 6 JBD30-14 AFQ21928.1 67 7.5 N/A 4 7 JBD26-15 AEY99428.1 102 11.2 100% 14 8 JBD5-15 AFQ21812.1 73 8.1 N/A 33 9 JBD24-17 AFQ21873.1 223 23.9 N/A >100 10 JBD26-30 AEY99449.1 83 9.0 100% 2 11 JBD26-31 AEY99485.1 83 9.3 100% 0 12 JBD30-30 AFQ21944.1 164 18.3 100% >100 13 JBD26-61 AEY99477.1 74 8.5 85-99% 32 14 JBD44-8 N/A 52 5.7 N/A 2 15 JBD44-9 N/A 77 8.6 N/A 1 *Proteins with BLAST E-value lower than 10-4 are considered homologs.
3.3 The PrAGs all express and make proteins in E. coli
Since the PrAGs that I am screening were mostly identified through genome comparison and
bioinformatics, it is important to determine if these open reading frames (ORFs) actually encode
proteins. All 17 PrAGs were cloned into Escherichia coli expression vectors and most of them
were shown to express and produce proteins (Figure 4). JBD30-9 may be expressed at a low
level, which could not be captured by the Coomassie blue dye.
20
Figure 4. Protein expression of PrAGs in E. coli.
The PrAGs were cloned into p15TV-L expression vectors and induced in E. coli BL21 strain.
Protein expression of individual PrAGs was examined in whole cell lysate (w) and soluble
fraction (s) on Coomassie blue-stained sodium dodecyl sulfate polyacrylamide gel
electrophoresis (SDS-PAGE) gels. All PrAG protein bands observed are close to the expected
sizes (Refer to Table 1 for PrAG protein sizes). Note that JBD26-61is known to proteolyze at a
fast rate, resulting in two protein bands observed in the soluble fraction.
21
3.4 Some PrAGs introduce growth defects in the bacterial host
To determine if the expression of any individual PrAG affects the growth of P. aeruginosa, I
examined the growth rates of each of the strains expressing a PrAG from a plasmid. P.
aeruginosa PA14 and PAO1 strains overexpressing individual PrAGs of interest were grown in
LB medium at 37°C for 8 hours, and cell density was monitored at OD595 in the TECAN
microplate reader during growth. While most PrAGs have little effects on host growth, four
PrAGs, JBD26-15 and JBD30-14 in PA14 and JBD44-8 and JBD5-4 in PAO1, slowed bacterial
cell growth (Figure 5). The four PrAGs have varying levels of effects on bacterial growth. At the
eighth hour, the cell densities of bacterial strains expressing JBD30-14 and JBD5-4 were 19%
and 17% lower than strains expressing no PrAGs (empty vector control), respectively, which is
mild compared to the effects of JBD44-8 and JBD26-15. When JBD44-8 was expressed in
PAO1, the bacterial cell density was more than 30% lower than PAO1 empty vector control at
the 8-hour mark (Figure 5D). The expression of JBD26-15 in PA14 strain causes the most
serious growth defect among all the PrAGs examined. After 8 hours of growth, the cell density
of PA14 strain expressing JBD26-15 was less than 45% of the empty vector control strain, and it
reached the bacterial growth log phase after 6 hours of growth, which was approximately 4 hours
later than the control strain (Figure 5B). These bacterial growth experiments demonstrated that
PrAGs are able to influence the growth rate of bacterial hosts. It is unclear if the growth defects
affected other phenotypic screens performed, but it is important to take them into account during
analysis and interpretation.
22
23
Figure 5. PrAG expression affect bacterial growth rate.
Different PrAGs were expressed in (A and B) PA14 or (C and D) PAO1 P. aeruginosa strains,
and the cell density of the growing liquid culture was monitored every 15 minutes for 8 hours.
Most of the PrAGs had little effects on bacterial growth rate (A and C), while some slowed the
growth of the host (B and D).
24
3.5 PrAGs increase bacterial survivability by protecting their hosts from phage infection
As prophages and their bacterial hosts exist in a symbiotic relationship, the survivability of the
bacteria is important to both. The longer the lysogen lives and replicates, the more copies of the
phage genome there will be. Since phage infection and killing is one of the most common factors
in limiting the sizes of bacteria populations, resistance against further phage infection can
therefore provide a great advantage in bacterial survivability. Thus, I examined the effects of
PrAG expression on bacterial resistance against a panel of P. aeruginosa phages. I spotted serial
dilutions of 31 different phages atop lawns of PA14 and 18 phages on lawns of PAO1 expressing
individual PrAGs. I found five PrAGs in PA14 (Table 2) and six PrAGs in PAO1 (Table 3) that
increased the bacterial resistance against several phages. JBD30-30, JBD26-5, JBD26-31,
JBD26-61 and JBD24-4 all caused increased phage resistance in both PA14 and PAO1, while
JBD44-8 only had an effect in PAO1. The levels and patterns of phage resistance caused by
PrAGs differ from PrAG to PrAG even within the same bacterial strain. For example, the
expression of JBD26-61 and JBD24-4 led to increased resistance against more phages than the
expression of JBD30-30, JBD26-5 and JBD26-31 in PA14 (Table 2). In addition, JBD44-8 only
caused a slight increase in phage resistance in PAO1, while JBD24-4 was able to protect its host
completely from infections by most phages in our collection (Table 3). Interestingly, the
expression of JBD26-61 and JBD24-4 resulted in identical phage resistance patterns, suggesting
that they may be modifying the host phenotypes via similar mechanisms. Since phage infection
largely depend on bacterial cell surface structures – T4P and O-antigen, as they serve as common
phage binding sites during initial adsorption, the data of phage spotting on PA14 knockouts of
T4P (pilA) and O-antigen (wbpL) adapted from study done by Bondy-Denomy91 is also included
for clarity (Table 2).
25
Table 2. Increase in phage resistance caused by PrAG expression in PA14 compared to no
PrAG expression.
PA14 Knockout* Phage
PrAG
wbpL pilA JBD30-30 JBD26-5 JBD26-31 JBD26-61 JBD24-4
JBD16C
JBD63
JBD5
JBD10**
JBD23
JBD26
JBD32
JBD33
JBD35C
JBD59a
JBD60a
DMS3
MP22
MP29
JBD95b
JBD86
JBD63c
JBD93a
JBD8
JBD13
JBD30
JBD88a
JBD88b
JBD16
JBD1
JBD24
JBD44a
JBD62b
JBD69a
JBD70a
JBD80
*Data adapted from study done by Bondy-Denomy91. Only complete resistance is
shown.
**JBD10 infects PA14 poorly.
Legend
Sensitive
Slightly resistant (>100-fold)
Intermediately resistant (>10^4-fold)
Highly resistant (>10^6-fold)
Complete resistant
26
Table 3. Fold increase in phage resistance caused by PrAG expression in PAO1 compared
to no PrAG expression.
Phage PrAG
JBD30-30 JBD44-8 JBD26-5 JBD26-31 JBD26-61 JBD24-4
JBD16C
JBD63
JBD5
JBD10
JBD23
JBD26
JBD32
JBD33
JBD35C
JBD59a
JBD60a
DMS3
MP22
MP29
JBD95b
JBD86
JBD63c
JBD93a
JBD8
JBD13
JBD30
JBD88a
JBD88b
JBD16
JBD1
JBD24
JBD44a
JBD62b
JBD69a
JBD70a
JBD80
Legend
Sensitive
Slightly resistant
(>100-fold)
Intermediately resistant
(>10^4-fold)
Highly resistant
(>10^6-fold)
Complete resistant
Phages that do not
infect wild-type PAO1
27
Some PrAGs were found to have different effects on phage resistance in different P. aeruginosa
strains. I compared phage resistance caused by PrAGs in PA14 and PAO1 and found that in most
cases where PrAGs caused increased phage resistance, it was observed in both strain
backgrounds tested. However, there were some examples of resistance only seen in PAO1 (Table
4). Among the phages that are able to infect both PAO1 and PA14 strains, the only case of a
PrAG affecting phage resistance only in PA14 is the case of JBD26-31, which only causes
resistance in PA14 against phage JBD60a (Table 4). I have also noted that in PAO1 three PrAGs
that caused complete resistance against all the phages I tested: JBD26-5, JBD26-61 and JBD24-
4. However, these PrAGs did not cause complete resistance in PA14 (Table 2 and 3). The results
from the phage resistance screens suggests that multiple PrAGs function to increase the
resistance of the bacteria against various phages. As the patterns of resistance are unique for each
PrAG, they are likely acting through different mechanisms, or interacting with different host
components in the bacterial cell.
28
Table 4. Difference in phage resistance caused by PrAG expression in PA14 and PAO1.
Phage PrAG
JBD30-30 JBD44-8 JBD26-5 JBD26-31 JBD26-61 JBD24-4
JBD16C
JBD63
JBD5
JBD10
JBD23
JBD26
JBD32
JBD33
JBD35C
JBD59a
JBD60a
DMS3
MP22
MP29
JBD95b
JBD86
JBD63c
JBD93a
JBD8
JBD13
JBD30
JBD88a
JBD88b
JBD16
JBD1
JBD24
JBD44a
JBD62b
JBD69a
JBD70a
JBD80
Another major factor determining the survivability of the bacteria is how well the bacteria can
survive and replicate in the presence of antibiotics. The ability to withstand antibiotics increases
the chance of successful infection and propagation of the bacteria inside mammalian systems.
We examined 9 antibiotics commonly used to treat bacterial infections (Table 5) using the disk
diffusion method and determined that none of the 17 PrAGs had effects on drug resistance.
Legend
Sensitive in both PA14
and PAO1
Resistance observed in
PA14 only
Resistance observed in
PAO1 only
Resistance observed in
both PA14 and PAO1
Phages that infect wild-
type PA14 but not PAO1
29
Table 5. List of drugs tested in drug resistance assay.
Drug Name Amount (μg) Azithromycin 15 Cefoperazone 75 Ceftazidime 30 Imipenem 10 Ticarcillin 75 Piperacillin 100 Colistin 10 Amikacin 30 Aztreonam 30
3.6 Bacterial motility is often modified by PrAGs
Bacterial motility is considered a virulence factor for P. aeruginosa as the motility of the
bacterial facilitates invasive infection of their mammalian hosts71,73. I performed two motility
screens to study the ability of the bacteria to travel in different environments when expressing
PrAGs of interest. Twitching motility describes the motility of the bacteria on solid media.
Through the twitching motility screen, I found that more than half of the PrAGs I screened
decrease bacterial twitching. JBD26-15, JBD23-13, JBD44-8, JBD26-5, JBD26-61, JBD5-4 and
JBD24-4 cause twitching defects in both PA14 and PAO1 strains, and JBD30-4 and JBD24-17
only affects PAO1 (Figure 6). Within the same P. aeruginosa strain, different PrAGs modified
twitching motility to different degrees. JBD26-5, JBD26-61, JBD5-4 and JBD24-4 completely
abolished twitching motility, comparable to the control where the pili was knocked out, while the
other PrAGs only cause mild to moderate defects (Figure 6). Given the differences in degree of
modification within and between bacterial strains, it is possible that the PrAGs are able to work
through several different mechanisms to alter bacterial motility.
30
Figure 6. Some PrAGs affect twitching motility of P. aeruginosa.
Twitching motility of P. aeruginosa (A) PA14 and (B) PAO1 strains over-expressing different
PrAGs were measured as diameter traveled by the bacteria over 24 hr on solid medium. P.
aeruginosa strains with no PrAG expressed (empty vector) and Type IV pilus knockout control
(pilA knockout) were also included. T-test was used to determine statistically significant results
compared to empty vector control and they are marked with asterisks (P<0.005), error bars
represent the standard deviation of sample groups.
31
In addition to twitching motility, I examined the effects of PrAG expression on bacterial
swimming motility, which describes the ability of bacteria to move in liquid media. I performed
the swimming motility assay using semi-solid medium to mimic liquid environments, which
allow the measurement of distance traveled by the bacteria. Three PrAGs caused swimming
defects in both PA14 and PAO1, including JBD30-4, JBD26-15 and JBD44-8, while JBD23-13
only has an effect in PAO1 (Figure 7). Similar to the twitching motility screen, the PrAGs altered
bacterial swimming motility to different degrees. However, the effects of PrAGs on swimming
motility were mostly mild to moderate, and no PrAGs were able to cause swimming defects as
serious as the flagellum knockout negative control (Figure 7).
Using the bacterial motility screens, I found a number of PrAGs can modify the ability of the
bacteria to travel on solid or in semi-solid medium, and some can affect both.
32
Figure 7. PrAGs could alter swimming motility of the bacteria.
Swimming motility of P. aeruginosa (A) PA14 and (B) PAO1 strains over-expressing different
PrAGs were measured as diameter traveled from central point by the bacteria over 24 hr in low
percentage medium. P. aeruginosa strains with no PrAG expressed (empty vector) and flagellum
knockout control (fliC knockout) were also included. T-test was used to determine statistically
significant results compared to empty vector control and they are marked with asterisks
(P<0.005), error bars represent the standard deviation of sample groups.
33
3.7 PrAGs are capable of altering the production of bacterial virulence factors
P. aeruginosa produces a number of virulence factors to aid in the invasion of mammalian
systems, which include biofilm and pyocyanin. Biofilm mediates bacterial attachment to target
mammalian cells and it can also help the bacteria in evading mammalian immune systems and
antibiotics79,80. To investigate if PrAG expression alters the level of biofilm produced by the
bacterial host, I measured the biofilm production of PA14 and PAO1 strains expressing different
PrAGs. I found seven PrAGs affected the amount of biofilm produced by P. aeruginosa. JBD23-
13, JBD26-61, JBD5-4 and JBD24-4 in PA14 and JBD30-4, JBD26-15, JBD26-5 and JBD26-61
in PAO1 decreased bacterial biofilm production (Figure 8). The only case where PrAG increased
level of biofilm production by the host is when expressing JBD23-13 in PAO1 (Figure 8B).
Interestingly, JBD23-13 has an opposite effect when expressed in PA14 where it decreased
biofilm production (Figure 8A). JBD26-61 is the only PrAG that behaved similarly in both PA14
and PAO1 strains, where it was able to lower the production of biofilm to the level comparable
with the pili and flagella knockout controls (pilA and fliC knockout, Figure 8). One thing to note
here is that PAO1 strains seem to grow better in the minimal media I used for this particular
assay, therefore they have overall higher biofilm production than PA14 strains. The results of the
experiments show that PrAGs are able to either increase or decrease the production of biofilm by
their hosts, and the effects can vary depending on the bacterial strain.
34
Figure 8. PrAGs cause changes in bacterial biofilm production.
The level of biofilm production for P. aeruginosa (A) PA14 and (B) PAO1 strains over-
expressing different PrAGs were measured. P. aeruginosa strains with no PrAG expressed
(empty vector) serves as wild-type control. As controls, Type IV pilus and flagellum knockouts
(pilA and fliC knockout) were included. T-test was used to determine statistically significant
results compared to empty vector control and they are marked with asterisks (P<0.05), error bars
represent the standard deviation of sample groups.
Pyocyanin produced by P. aeruginosa is a toxin as well as a colour pigment that is responsible
for the greenish blue color of the bacteria. The amount of pyocyanin produced by the bacteria is
35
dependent on many factors, including the growth conditions and quorum sensing systems.
However, because of the color of pyoaynin, a significant change in the production level can be
observed by eye. One really interesting PrAG – JBD5-4 changed the level of pyocyanin
production in both PA14 and PAO1 depending on the environment the bacteria is growing in.
When the bacterial host was grown on solid medium, the expression of JBD5-4 greatly increased
pyocyanin production (Figure 9A), while JBD5-4 decreased pyocyanin production when the
bacteria were grown in liquid medium (Figure 9B). This observation suggested that JBD5-4 may
be able to interact with host components that the bacteria uses to sense growing environment,
and alter the amount of pyocyanin produced accordingly.
Figure 9. JBD5-4 alters the levels of pyocyanin produced by P. aeruginosa.
P. aeruginosa PA14 strains expressing PrAG JBD5-4 or no PrAG were grown on (A) solid
medium and (B) liquid medium, and the amount of pigment produced was compared.
36
3.8 Two PrAGs modify bacterial virulence in Drosophila melanogaster
Phages are known to alter the degree of bacterial virulence through a variety of different
mechanisms, ranging from encoding genes for the production of toxins in their genomes to
helping their host evade mammalian immune system. To investigate if the expression of PrAGs
has an effect on the virulence level of P. aeruginosa, I infected Drosophila melanogaster (fruit
flies) with P. aeruginosa PA14 strain expressing different PrAGs to mimic the bacterial chronic
infection seen in the lungs of cystic fibrosis patients. Because of the striking similarities between
mammalian and Drosophila innate immunity responses, the flies provide an excellent model
organism to study pathogenesis of chronic P. aeruginosa infections58. Through the virulence
assay, we found two PrAGs that were able to modify the bacterial host virulence. I observed that
fruit flies infected with PA14 expressing JBD5-4 live longer than flies fed with PA14 empty
vector control. Approximately half of the flies in the control group died within the first eight
days post infection, when 91% of the flies were still alive in the JBD5-4 group (Figure 10A). By
contrast, JBD44-8 had the opposite effect on bacterial virulence. JBD44-8 increased the rate of
fly killing by the bacteria. By day 9, almost all the flies infected by JBD44-8-expressing PA14
strain were all dead, while 67% of the flies infected with the empty vector strain survived (Figure
10B). There exists some discrepancies between the fly survival profiles in the control group from
experiments done on different days, which were most likely due to the conditions of the bacteria
and flies on particular days. Since the experiments were repeated on at least three different
occasions, and we observed the same trend in all of them, the differences in results between
controls and samples we seen were likely due to PrAG expression. The virulence assay
demonstrated that the effects of PrAGs on their host are significant enough to modify bacterial
virulence in the chronic infection of fruit flies, which suggests that PrAGs could also play crucial
roles in bacterial infection of mammalian systems.
37
Figure 10. PrAGs have effects on bacterial virulence towards Drosophila malenogaster.
P. aeruginosa PA14 strains expressing different PrAGs or no PrAG (empty vector, EV) were fed
to D. malenogaster. The number of dead flies were recorded every 24 hours. (A) The survival
rate of flies fed with PA14 strain expressing JBD5-4 (○) was compared with PA14 strain
harbouring an empty expression vector (■). (B) The survival rate of flies fed with PA14 strain
expressing JBD44-8 (∆) was compared to PA14 strain harbouring an empty expression vector
(■).
38
Chapter 4 Discussion and Future Directions
Phages have been shown to play very important roles in bacterial ecosystems. While prophages
are known to express PrAGs that function to alter the physiology of their hosts, no systematic
studies had investigated the bacterial phenotypes caused by expressions of a variety of PrAGs.
The experiments described in this thesis aimed to assess the diversity of PrAGs in a closely
related group of P. aeruginosa phages and determine their effects on bacterial phenotypes related
to survivability and virulence in a systematic manner. Through a number of phenotypic screens, I
found that P. aeruginosa PrAGs are able to modify various host phenotypes, including
swimming and twitching motility, phage resistance, biofilm production, pyocyanin production,
and degree of virulence against Drosophila fruit flies. More than half (11/17) of the PrAGs I
studied were observed to affect host phenotypes in at least one screen (Table 6), and they
possibly alter other bacterial phenotypes that were not tested in this study, which suggests that
the role of PrAGs in bacterial biology may be more prevalent than previously appreciated. The
phenotypic effects of PrAGs vary based on the individual PrAGs and the bacterial strain that the
PrAG is expressed in. Some PrAGs, such as JBD30-30 and JBD26-31, were only able to modify
a single host phenotype while others, like JBD26-61 and JBD24-4, can alter multiple phenotypes
(Table 6), which likely depends on the mechanism by which each PrAG functions. It is also
noted that a number of phenotypic modification are bacterial strain-specific. For example, the
expression of JBD23-13 in strain PA14 resulted in decreased biofilm production but it increased
the production of biofilm in strain PAO1 (Table 6), suggesting that PrAGs interact with host
elements to cause changes in phenotypes.
Although various functional studies are still required to characterize the biological roles of the
PrAGs, it is possible to make predictions on how the PrAGs function to alter host phenotypes
based on the results of the phenotypic screens. One example includes PrAGs JBD24-4, JBD26-5
and JBD26-61, all of which caused decreased twitching motility and biofilm production and
increased bacterial resistance against phages (Table 6). The bacterial T4P mediates twitching
motility68 and it is involved in the biofilm synthesis72. In addition, as a cell surface structure
which serves as a binding site during phage infections93, the pilus is essential for certain phages
to infect. It is very likely that these three PrAGs function to down-regulate or affect the proper
functioning of the host T4P, which leads to the reduction in twitching motility and biofilm
39
production, and protects the host from phages that use pili to infect bacteria. A recent study has
shown that protein gp05 of P. aeruginosa phage D3112, which is identical to JBD26-5 in
sequence, interacts and interferes with the activity of the host T4P assembly/extension ATPase,
PilB94. This result is consistent with the phenotypes I observed through the screens. However,
the functional amino acids or regions in gp05 responsible for the interaction are still unclear, and
the PrAG may have other functions in bacterial cells that are not yet identified.
Another example is JBD5-4, which was observed to decrease bacterial twitching motility,
biofilm production and cause increased or decreased level of host pyocyanin production when
grown in liquid or on solid medium, respectively (Table 6). All three biological processes of the
bacteria are controlled by the quorum-sensing system66. Therefore JBD5-4 may be interacting
with host components regulating the quorum-sensing system. In their 2002 publication, Scott A.
Beatson and his colleagues found that a regulator of quorum-sensing in P. aeruginosa, Vfr, was
able to alter level of pyocyanin production based on different growth media95. It is possible that
there exist a quorum-sensing regulator that can sense the difference between liquid and solid
medium which JBD5-4 is interacting with. Indeed, a more recent study has shown that mutations
in the mexT or mexF gene in P. aeruginosa strain PAO1 could lead to defective MexEF-OprN
pump, and results in enhanced pyocyanin production in liquid medium and attenuated production
on solid medium96,97. Since the MexEG-OprN pump has been suggested to be involved in the
efflux of quorum sensing signalling molecules98, it is a likely candidate to interact with JBD5-4.
According to protein sequence alignments, JBD5-4, JBD26-5 and JBD24-4 are protein
homologs. They share a central domain with 40-60% identity, while JBD26-5 has an extra N-
terminal domain, and JBD24-4 has a C-terminal domain. Although the three PrAGs all caused
twitching defects, their effects on phage resistance, biofilm and pyocyanin production differ,
despite being protein homologs. The results of the screens suggested that the differences in
phenotypic modifications may be caused by the non-homologous sequences in the PrAGs, and
this also suggests the possibility of one PrAG interacting with multiple host components to affect
bacterial phenotypes.
Among all the PrAGs I studied, two sets of PrAGs have very similar phenotypic effects on P.
aeruginosa. First, JBD24-4 and JBD26-61 both abolished twitching motility, increased host
resistance against the same phages and decreased biofilm production in the PA14 strain (Table
40
6). The only difference was JBD26-61 also affected biofilm production in PAO1, but JBD24-4
did not. This is interesting because JBD26-61 and JBD24-4 have no sequence similarity, and
their genome positions are very different. The other set of PrAGs: JBD26-31 and JBD30-30 both
increased phage resistance of the host without causing defects in bacterial motility or biofilm
production (Table 6), which suggests that they might function at subsequent steps downstream of
cell binding during phage infections. JBD26-31 and JBD30-30 have no sequence similarity,
however they occupy the same genome position right between the small and large terminase
(Figure 3). It is fascinating in the evolutionary point of view how different PrAGs may evolve to
function through similar mechanisms to affect host phenotypes in similar ways, which indicates
that the biological roles of PrAGs may be more relevant than previously known.
One PrAG, JBD23-13, has opposite effects on level of biofilm production under PA14 and
PAO1 background. It decreased host biofilm production in PA14, however when expressed in
PAO1, it increased the production of biofilm. In addition, JBD23-13 causes a twitching defect in
strain PA14 and a swimming defect in strain PAO1 (Table 6). Since all the phenotypic effects
caused by JBD23-13 were strain-specific, it is possible that the PrAG interacts with strain-
specific host components or its activity is induced by strain-specific signals. More studies are
required to explain how JBD23-13 functions in the host cell. Besides JBD23-13, differences
between phenotypes observed in strains PA14 and PAO1 were also seen for other PrAGs. For
examples, JBD30-4 caused twitching defects in PAO1 only, and similarly, JBD5-4, decreased
biofilm production in PA14 but not in PAO1 (Table 6). Although the two commonly used lab
strains are very similar in genome sequences, approximately 4-8% of the genome is unique to
only one strain and may be responsible for the differences observed in this study99. It is known
that the PA14-specific genomic regions contain a few pathogenicity islands, which account for
the difference in pathogenicity between PA14 and PAO1100. PrAGs that were observed to cause
strain-specific effects may interact with components found in unique regions, including Type IV
pilin, Type IV fimbrial assembly protein, ABC transporter-like protein, DNA helicase-like
protein, O-antigen biosynthesis proteins, putative transcriptional regulators and other genes of
unknown functions100,101. For example, in the phage resistance screen, the expression of JBD24-4
in PAO1 resulted in complete host resistance against all phages tested. However, JBD24-4 only
increased the resistance of PA14 against some of the phages. Since the bacterial T4P is involved
41
in initial phage infections, JBD24-4 possibly interferes with strain-specific components of the
pilus system, such as the pilin (PilA) or fimbrial assembly protein (pilC), or related regulators.
Two other PrAGs, JBD26-15 and JBD44-8, have effects on twitching and swimming motility in
both PA14 and PAO1 strains (Table 6), suggesting that they may play a role in quorum-sensing,
which is essential for T4P and flagellum functions. Although JBD26-15 and JBD44-8 interfered
with bacterial pili and flagella, they did not have significant effect on phage resistance except
JBD44-8 slightly increased the phage resistance of PAO1 strain. The PrAGs possibly affect the
proper functioning of the pili and flagella rather than the synthesis, so phages can still bind to the
host cell during infections. While pilus and flagellum are considered to be important virulence
factors during bacterial infections, it is interesting how JBD44-8 causes motility defects but
increased virulence in fruit flies. As previously mentioned, JBD44-8 likely interacts with
components in the quorum-sensing system. Therefore one possible explanation is that while it
interferes with bacterial motility, JBD44-8 enhances the functions of other virulence factors
controlled by quorum-sensing (e.g. exotoxin, protease), which were not captured by the screens
performed in this study.
Interestingly, the motility and biofilm production screens generated results which were opposite
to what is expected. Since bacterial motility and the production of biofilm often translates into
bacterial virulence, I was expecting that the PrAGs increase bacterial motility and the level of
biofilm production to aid bacterial infection, so the phages can replicate with their hosts. It is
possible that the phages are sacrificing these two virulence factors for something that provides
more advantages to themselves. For example, as previously mentioned in the case of JBD24-4,
JBD26-5 and JBD26-61, the phages might be down-regulating bacterial T4P to protect the host
from further phage infections, but it also resulted in motility and biofilm production defects. One
thing to note is that most phages and their P. aeruginosa host live in natural environments, and
Pseudomonas does not need to infect to survive. Therefore, the ability to resist phage infections
and increase survivability is likely more important for both the phage and its host than virulence
against other organisms.
Through the experiments done in this study, several PrAGs with interesting phenotypic effects in
P. aeruginosa were identified. However, only a small number of PrAGs were screened for
specific phenotypes, there are a lot more PrAGs identified in P. aeruginosa that were not
42
included in this study, and PrAGs likely affect the hosts in other ways that were not captured by
the screens performed. Another limitation of the study is that the phenotypes observed in the
screens were due to the overexpression of PrAGs, and it is not clear if the same phenotype
modifications occur outside of lab environments, since we do not know the endogenous
expression levels of PrAGs in P. aeruginosa at this point. However, the study does show that the
PrAGs have the potential to cause bacterial phenotypic changes, and whether they happen or not
depends on multiple factors, including environmental conditions, external cues and interactions
between PrAGs and other prophage or host components. In the study, I have only investigated
the phenotypic effects of the expression of individual PrAGs. In natural environments, it is
common for more than one PrAG to be expressed inside the host cell. Based on the findings of
the study, I cannot draw any conclusion on how the expression of multiple PrAGs interact with
each other and what the resulting bacterial phenotypes will be.
In order to expand our knowledge of the biological roles of PrAGs in P. aeruginosa, follow-up
studies are required to understand the mechanisms employed by the PrAGs to modify bacterial
physiology. Based on the phenotypic screen results, it is likely that PrAGs function through
interacting with host components. Therefore a potential next step in the study will be to identify
the physical interacting partners of PrAGs through protein pull-down assay, or use mutagenesis
to pinpoint genetic interactions between PrAGs and host genes. One can also take advantage of
RNAseq technology to study the effects of PrAGs on host genetic expression profile, which may
provide clues for the functions of the PrAGs. In addition, structural studies may prove useful in
determining signature motifs and PrAG function predictions. Combining phenotypic screens
with various biochemical and genetic approaches, one can more efficiently characterize the
functions of the PrAGs. As previously mentioned, in addition to the PrAGs studied in my thesis,
there are a lot of putative PrAGs with unknown functions, and new PrAGs are continuously
being identified. In the future, the systematic study can be expanded to include more PrAGs and
screen for more host phenotypes, such as swarming motility and production of other virulence
factors like pyoverdine and elastase. It will also be interesting to investigate the interaction
between different PrAGs when expressed simultaneously and the phenotypic consequences.
PrAGs are known to play important roles in bacterial physiology by altering different biological
processes of the host life cycle, however no systematic studies have been done to address the
effects of PrAGs on their bacterial hosts. Multiple screens were employed in this study to
43
systematically examine the phenotypic effects of PrAG expression in bacterial cells. The results
have shown that many P. aeruginosa PrAGs have the ability to modify bacterial phenotypes
related to survivability and virulence (Figure 11), and these events may contribute significantly
to bacterial infection and disease progression. Therefore, when studying human diseases caused
by bacteria, it is important to take into account the bacteriophages and what they can do through
PrAG expression. I hope the facts learned from this study will offer inspiration for more research
on bacteriophages and their contribution in human diseases, which may become the foundation
for possible treatment in the future.
Table 6. Summary of host phenotypic changes caused by PrAGs in P. aeruginosa PA14 and
PAO1 strains.
44
Figure 11. PrAG expression affect various bacterial elements.
The phenotypic screens conducted in this study have shown that the expression of PrAGs
modifies multiple host elements related to survivability and virulence. The PrAGs found to affect
specific elements are listed.
45
References
1 Hendrix, R. W., Smith, M. C., Burns, R. N., Ford, M. E. & Hatfull, G. F. Evolutionary
relationships among diverse bacteriophages and prophages: all the world's a phage.
Proceedings of the National Academy of Sciences of the United States of America 96,
2192-2197 (1999).
2 Letarov, A. & Kulikov, E. The bacteriophages in human- and animal body-associated
microbial communities. Journal of applied microbiology 107, 1-13, doi:10.1111/j.1365-
2672.2009.04143.x (2009).
3 Breitbart, M. et al. Metagenomic analyses of an uncultured viral community from human
feces. Journal of bacteriology 185, 6220-6223 (2003).
4 King, A. M. Q., Adams, M.J., Carstens, E.B. and Lefkowitz, E.J. Virus taxonomy:
classification and nomenclature of viruses: Ninth Report of the International Committee
on Taxonomy of Viruses. 1st edn, (Elsevier Academic Press, 2012).
5 Calendar, R. The Bacteriophages. 2nd edn, (Oxford University Press, 2006).
6 Hyman, P. & Abedon, S. T. Bacteriophage host range and bacterial resistance. Advances
in applied microbiology 70, 217-248, doi:10.1016/S0065-2164(10)70007-1 (2010).
7 Suttle, C. A. Viruses in the sea. Nature 437, 356-361, doi:10.1038/nature04160 (2005).
8 Borek, E. & Ryan, A. Lysogenic induction. Progress in nucleic acid research and
molecular biology 13, 249-300 (1973).
9 Choi, J., Kotay, S. M. & Goel, R. Various physico-chemical stress factors cause prophage
induction in Nitrosospira multiformis 25196--an ammonia oxidizing bacteria. Water
research 44, 4550-4558, doi:10.1016/j.watres.2010.04.040 (2010).
10 Banks, D. J., Lei, B. & Musser, J. M. Prophage induction and expression of prophage-
encoded virulence factors in group A Streptococcus serotype M3 strain MGAS315.
Infection and immunity 71, 7079-7086 (2003).
11 Dalmasso, M., Hill, C. & Ross, R. P. Exploiting gut bacteriophages for human health.
Trends in microbiology 22, 399-405, doi:10.1016/j.tim.2014.02.010 (2014).
12 Cumby, N., Davidson, A. R. & Maxwell, K. L. The moron comes of age. Bacteriophage
2, 225-228, doi:10.4161/bact.23146 (2012).
13 Wagner, J. et al. Bacteriophages in gut samples from pediatric Crohn's disease patients:
metagenomic analysis using 454 pyrosequencing. Inflammatory bowel diseases 19, 1598-
1608, doi:10.1097/MIB.0b013e318292477c (2013).
14 Hedin, C. R. et al. Altered intestinal microbiota and blood T cell phenotype are shared by
patients with Crohn's disease and their unaffected siblings. Gut 63, 1578-1586,
doi:10.1136/gutjnl-2013-306226 (2014).
46
15 Xavier, R. J. & Podolsky, D. K. Unravelling the pathogenesis of inflammatory bowel
disease. Nature 448, 427-434, doi:10.1038/nature06005 (2007).
16 Lepage, P. et al. Dysbiosis in inflammatory bowel disease: a role for bacteriophages? Gut
57, 424-425, doi:10.1136/gut.2007.134668 (2008).
17 Wittebole, X., De Roock, S. & Opal, S. M. A historical overview of bacteriophage
therapy as an alternative to antibiotics for the treatment of bacterial pathogens. Virulence
5, 226-235, doi:10.4161/viru.25991 (2014).
18 Alemayehu, D. et al. Bacteriophages phiMR299-2 and phiNH-4 can eliminate
Pseudomonas aeruginosa in the murine lung and on cystic fibrosis lung airway cells.
mBio 3, e00029-00012, doi:10.1128/mBio.00029-12 (2012).
19 Chhibber, S., Kaur, T. & Sandeep, K. Co-therapy using lytic bacteriophage and linezolid:
effective treatment in eliminating methicillin resistant Staphylococcus aureus (MRSA)
from diabetic foot infections. PloS one 8, e56022, doi:10.1371/journal.pone.0056022
(2013).
20 Krylov, V., Shaburova, O., Krylov, S. & Pleteneva, E. A genetic approach to the
development of new therapeutic phages to fight pseudomonas aeruginosa in wound
infections. Viruses 5, 15-53, doi:10.3390/v5010015 (2013).
21 Mendes, J. J. et al. Wound healing potential of topical bacteriophage therapy on diabetic
cutaneous wounds. Wound repair and regeneration : official publication of the Wound
Healing Society [and] the European Tissue Repair Society 21, 595-603,
doi:10.1111/wrr.12056 (2013).
22 Ksendzovsky, A. et al. Convection-enhanced delivery of M13 bacteriophage to the brain.
Journal of neurosurgery 117, 197-203, doi:10.3171/2012.4.JNS111528 (2012).
23 Kia, A., Yata, T., Hajji, N. & Hajitou, A. Inhibition of histone deacetylation and DNA
methylation improves gene expression mediated by the adeno-associated virus/phage in
cancer cells. Viruses 5, 2561-2572, doi:10.3390/v5102561 (2013).
24 Shoae-Hassani, A. et al. lambda Phage nanobioparticle expressing apoptin efficiently
suppress human breast carcinoma tumor growth in vivo. PloS one 8, e79907,
doi:10.1371/journal.pone.0079907 (2013).
25 Johnson, R. P. et al. Bacteriophages for prophylaxis and therapy in cattle, poultry and
pigs. Animal health research reviews / Conference of Research Workers in Animal
Diseases 9, 201-215, doi:10.1017/S1466252308001576 (2008).
26 Chibeu, A. et al. Efficacy of bacteriophage LISTEXP100 combined with chemical
antimicrobials in reducing Listeria monocytogenes in cooked turkey and roast beef.
International journal of food microbiology 167, 208-214,
doi:10.1016/j.ijfoodmicro.2013.08.018 (2013).
47
27 Fujii, N., K. Oguma, N. Yokosawa, K. Kimura, and K. Tsuzuki. Characterization of
bacteriophage nucleic acids obtained from Clostridium botulinum types C and D. Appl.
Environ. Microbiol. 54, 69-73 (1988).
28 Holmes, R. K. & Barksdale, L. Genetic analysis of tox+ and tox- bacteriophages of
Corynebacterium diphtheriae. Journal of virology 3, 586-598 (1969).
29 Uchida, T., Gill, D. M. & Pappenheimer, A. M., Jr. Mutation in the structural gene for
diphtheria toxin carried by temperate phage. Nature: New biology 233, 8-11 (1971).
30 Waldor, M. K. & Mekalanos, J. J. Lysogenic conversion by a filamentous phage
encoding cholera toxin. Science 272, 1910-1914 (1996).
31 Huang, A. et al. Cloning and expression of the genes specifying Shiga-like toxin
production in Escherichia coli H19. Journal of bacteriology 166, 375-379 (1986).
32 Newland, J. W., Strockbine, N. A., Miller, S. F., O'Brien, A. D. & Holmes, R. K. Cloning
of Shiga-like toxin structural genes from a toxin converting phage of Escherichia coli.
Science 230, 179-181 (1985).
33 Willshaw, G. A., Smith, H. R., Scotland, S. M. & Rowe, B. Cloning of genes determining
the production of vero cytotoxin by Escherichia coli. Journal of general microbiology
131, 3047-3053 (1985).
34 Sandvig, K. Shiga toxins. Toxicon : official journal of the International Society on
Toxinology 39, 1629-1635 (2001).
35 Moulding, D. A., Walter, C., Hart, C. A. & Edwards, S. W. Effects of staphylococcal
enterotoxins on human neutrophil functions and apoptosis. Infection and immunity 67,
2312-2318 (1999).
36 Bensing, B. A., Rubens, C. E. & Sullam, P. M. Genetic loci of Streptococcus mitis that
mediate binding to human platelets. Infection and immunity 69, 1373-1380,
doi:10.1128/IAI.69.3.1373-1380.2001 (2001).
37 Bensing, B. A., Siboo, I. R. & Sullam, P. M. Proteins PblA and PblB of Streptococcus
mitis, which promote binding to human platelets, are encoded within a lysogenic
bacteriophage. Infection and immunity 69, 6186-6192, doi:10.1128/IAI.69.10.6186-
6192.2001 (2001).
38 Hynes, W. L. & Ferretti, J. J. Sequence analysis and expression in Escherichia coli of the
hyaluronidase gene of Streptococcus pyogenes bacteriophage H4489A. Infection and
immunity 57, 533-539 (1989).
39 Verma, N. K., Brandt, J. M., Verma, D. J. & Lindberg, A. A. Molecular characterization
of the O-acetyl transferase gene of converting bacteriophage SF6 that adds group antigen
6 to Shigella flexneri. Molecular microbiology 5, 71-75 (1991).
48
40 Clark, C. A., Beltrame, J. & Manning, P. A. The oac gene encoding a lipopolysaccharide
O-antigen acetylase maps adjacent to the integrase-encoding gene on the genome of
Shigella flexneri bacteriophage Sf6. Gene 107, 43-52 (1991).
41 van Wamel, W. J., Rooijakkers, S. H., Ruyken, M., van Kessel, K. P. & van Strijp, J. A.
The innate immune modulators staphylococcal complement inhibitor and chemotaxis
inhibitory protein of Staphylococcus aureus are located on beta-hemolysin-converting
bacteriophages. Journal of bacteriology 188, 1310-1315, doi:10.1128/JB.188.4.1310-
1315.2006 (2006).
42 Kaneko, J., Muramoto, K. & Kamio, Y. Gene of LukF-PV-like component of Panton-
Valentine leukocidin in Staphylococcus aureus P83 is linked with lukM. Bioscience,
biotechnology, and biochemistry 61, 541-544, doi:10.1271/bbb.61.541 (1997).
43 Figueroa-Bossi, N. & Bossi, L. Inducible prophages contribute to Salmonella virulence in
mice. Molecular microbiology 33, 167-176 (1999).
44 Cumby, N., Edwards, A. M., Davidson, A. R. & Maxwell, K. L. The bacteriophage
HK97 gp15 moron element encodes a novel superinfection exclusion protein. Journal of
bacteriology 194, 5012-5019, doi:10.1128/JB.00843-12 (2012).
45 Kenzaka, T., Tani, K. & Nasu, M. High-frequency phage-mediated gene transfer in
freshwater environments determined at single-cell level. The ISME journal 4, 648-659,
doi:10.1038/ismej.2009.145 (2010).
46 Muniesa, M., Colomer-Lluch, M. & Jofre, J. Could bacteriophages transfer antibiotic
resistance genes from environmental bacteria to human-body associated bacterial
populations? Mobile genetic elements 3, e25847, doi:10.4161/mge.25847 (2013).
47 Modi, S. R., Lee, H. H., Spina, C. S. & Collins, J. J. Antibiotic treatment expands the
resistance reservoir and ecological network of the phage metagenome. Nature 499, 219-
222, doi:10.1038/nature12212 (2013).
48 Casjens, S. Prophages and bacterial genomics: what have we learned so far? Molecular
microbiology 49, 277-300 (2003).
49 Perna, N. T. et al. Genome sequence of enterohaemorrhagic Escherichia coli O157:H7.
Nature 409, 529-533, doi:10.1038/35054089 (2001).
50 Juhala, R. J. et al. Genomic sequences of bacteriophages HK97 and HK022: pervasive
genetic mosaicism in the lambdoid bacteriophages. Journal of molecular biology 299, 27-
51, doi:10.1006/jmbi.2000.3729 (2000).
51 Burrows, L. L., Charter, D. F. & Lam, J. S. Molecular characterization of the
Pseudomonas aeruginosa serotype O5 (PAO1) B-band lipopolysaccharide gene cluster.
Molecular microbiology 22, 481-495 (1996).
49
52 Uc-Mass, A. et al. An orthologue of the cor gene is involved in the exclusion of
temperate lambdoid phages. Evidence that Cor inactivates FhuA receptor functions.
Virology 329, 425-433, doi:10.1016/j.virol.2004.09.005 (2004).
53 Cumby, N., Reimer, K., Mengin-Lecreulx, D., Davidson, A. R. & Maxwell, K. L. The
Phage Tail Tape Measure Protein, an Inner Membrane Protein, and a Periplasmic
Chaperone Play Connected Roles in the Genome Injection Process of E. coli Phage
HK97. Molecular microbiology, doi:10.1111/mmi.12918 (2014).
54 Vica Pacheco, S., Garcia Gonzalez, O. & Paniagua Contreras, G. L. The lom gene of
bacteriophage lambda is involved in Escherichia coli K12 adhesion to human buccal
epithelial cells. FEMS microbiology letters 156, 129-132 (1997).
55 Mirold, S. et al. Isolation of a temperate bacteriophage encoding the type III effector
protein SopE from an epidemic Salmonella typhimurium strain. Proceedings of the
National Academy of Sciences of the United States of America 96, 9845-9850 (1999).
56 Barondess, J. J. & Beckwith, J. bor gene of phage lambda, involved in serum resistance,
encodes a widely conserved outer membrane lipoprotein. Journal of bacteriology 177,
1247-1253 (1995).
57 Shen, L. et al. PA2800 plays an important role in both antibiotic susceptibility and
virulence in Pseudomonas aeruginosa. Current microbiology 65, 601-609,
doi:10.1007/s00284-012-0196-2 (2012).
58 Sibley, C. D. et al. Discerning the complexity of community interactions using a
Drosophila model of polymicrobial infections. PLoS pathogens 4, e1000184,
doi:10.1371/journal.ppat.1000184 (2008).
59 Kirienko, N. V., Cezairliyan, B. O., Ausubel, F. M. & Powell, J. R. Pseudomonas
aeruginosa PA14 pathogenesis in Caenorhabditis elegans. Methods Mol Biol 1149, 653-
669, doi:10.1007/978-1-4939-0473-0_50 (2014).
60 Tsui, L. C. & Dorfman, R. The cystic fibrosis gene: a molecular genetic perspective. Cold
Spring Harbor perspectives in medicine 3, a009472, doi:10.1101/cshperspect.a009472
(2013).
61 Margaret Hodson, D. G., Andrew Bush. Cystic Fibrosis. 3rd edn, (CRC Press, Taylor &
Francis Group, 2007).
62 Staudinger, B. J. et al. Conditions associated with the cystic fibrosis defect promote
chronic Pseudomonas aeruginosa infection. American journal of respiratory and critical
care medicine 189, 812-824, doi:10.1164/rccm.201312-2142OC (2014).
63 Lyczak, J. B., Cannon, C. L. & Pier, G. B. Establishment of Pseudomonas aeruginosa
infection: lessons from a versatile opportunist. Microbes and infection / Institut Pasteur
2, 1051-1060 (2000).
50
64 Langton Hewer, S. C. & Smyth, A. R. Antibiotic strategies for eradicating Pseudomonas
aeruginosa in people with cystic fibrosis. The Cochrane database of systematic reviews
11, CD004197, doi:10.1002/14651858.CD004197.pub4 (2014).
65 Johansen, H. K. & Gotzsche, P. C. Vaccines for preventing infection with Pseudomonas
aeruginosa in cystic fibrosis. The Cochrane database of systematic reviews 6, CD001399,
doi:10.1002/14651858.CD001399.pub3 (2013).
66 Lee, J. & Zhang, L. The hierarchy quorum sensing network in Pseudomonas aeruginosa.
Protein & cell 6, 26-41, doi:10.1007/s13238-014-0100-x (2015).
67 Craig, L., Pique, M. E. & Tainer, J. A. Type IV pilus structure and bacterial
pathogenicity. Nature reviews. Microbiology 2, 363-378, doi:10.1038/nrmicro885 (2004).
68 Chiang, P., Habash, M. & Burrows, L. L. Disparate subcellular localization patterns of
Pseudomonas aeruginosa Type IV pilus ATPases involved in twitching motility. Journal
of bacteriology 187, 829-839, doi:10.1128/JB.187.3.829-839.2005 (2005).
69 Skerker, J. M. & Berg, H. C. Direct observation of extension and retraction of type IV
pili. Proceedings of the National Academy of Sciences of the United States of America 98,
6901-6904, doi:10.1073/pnas.121171698 (2001).
70 Doyle, T. B., Hawkins, A. C. & McCarter, L. L. The complex flagellar torque generator
of Pseudomonas aeruginosa. Journal of bacteriology 186, 6341-6350,
doi:10.1128/JB.186.19.6341-6350.2004 (2004).
71 Doig, P. et al. Role of pili in adhesion of Pseudomonas aeruginosa to human respiratory
epithelial cells. Infection and immunity 56, 1641-1646 (1988).
72 Barken, K. B. et al. Roles of type IV pili, flagellum-mediated motility and extracellular
DNA in the formation of mature multicellular structures in Pseudomonas aeruginosa
biofilms. Environmental microbiology 10, 2331-2343, doi:10.1111/j.1462-
2920.2008.01658.x (2008).
73 Comer, J. E., Marshall, M. A., Blanch, V. J., Deal, C. D. & Castric, P. Identification of
the Pseudomonas aeruginosa 1244 pilin glycosylation site. Infection and immunity 70,
2837-2845 (2002).
74 Kus, J. V., Tullis, E., Cvitkovitch, D. G. & Burrows, L. L. Significant differences in type
IV pilin allele distribution among Pseudomonas aeruginosa isolates from cystic fibrosis
(CF) versus non-CF patients. Microbiology 150, 1315-1326 (2004).
75 Wei, Q. & Ma, L. Z. Biofilm matrix and its regulation in Pseudomonas aeruginosa.
International journal of molecular sciences 14, 20983-21005,
doi:10.3390/ijms141020983 (2013).
76 Ma, L. et al. Assembly and development of the Pseudomonas aeruginosa biofilm matrix.
PLoS pathogens 5, e1000354, doi:10.1371/journal.ppat.1000354 (2009).
51
77 Sakuragi, Y. & Kolter, R. Quorum-sensing regulation of the biofilm matrix genes (pel) of
Pseudomonas aeruginosa. Journal of bacteriology 189, 5383-5386,
doi:10.1128/JB.00137-07 (2007).
78 Klausen, M. et al. Biofilm formation by Pseudomonas aeruginosa wild type, flagella and
type IV pili mutants. Molecular microbiology 48, 1511-1524 (2003).
79 Pamp, S. J., Gjermansen, M., Johansen, H. K. & Tolker-Nielsen, T. Tolerance to the
antimicrobial peptide colistin in Pseudomonas aeruginosa biofilms is linked to
metabolically active cells, and depends on the pmr and mexAB-oprM genes. Molecular
microbiology 68, 223-240, doi:10.1111/j.1365-2958.2008.06152.x (2008).
80 Mulcahy, H., Charron-Mazenod, L. & Lewenza, S. Extracellular DNA chelates cations
and induces antibiotic resistance in Pseudomonas aeruginosa biofilms. PLoS pathogens 4,
e1000213, doi:10.1371/journal.ppat.1000213 (2008).
81 Molin, S. & Tolker-Nielsen, T. Gene transfer occurs with enhanced efficiency in biofilms
and induces enhanced stabilisation of the biofilm structure. Current opinion in
biotechnology 14, 255-261 (2003).
82 Costerton, J. W., Stewart, P. S. & Greenberg, E. P. Bacterial biofilms: a common cause
of persistent infections. Science 284, 1318-1322 (1999).
83 Jayaseelan, S., Ramaswamy, D. & Dharmaraj, S. Pyocyanin: production, applications,
challenges and new insights. World journal of microbiology & biotechnology 30, 1159-
1168, doi:10.1007/s11274-013-1552-5 (2014).
84 Lau, G. W., Hassett, D. J., Ran, H. & Kong, F. The role of pyocyanin in Pseudomonas
aeruginosa infection. Trends in molecular medicine 10, 599-606,
doi:10.1016/j.molmed.2004.10.002 (2004).
85 Mavrodi, D. V. et al. Functional analysis of genes for biosynthesis of pyocyanin and
phenazine-1-carboxamide from Pseudomonas aeruginosa PAO1. Journal of bacteriology
183, 6454-6465, doi:10.1128/JB.183.21.6454-6465.2001 (2001).
86 Lau, G. W., Ran, H., Kong, F., Hassett, D. J. & Mavrodi, D. Pseudomonas aeruginosa
pyocyanin is critical for lung infection in mice. Infection and immunity 72, 4275-4278,
doi:10.1128/IAI.72.7.4275-4278.2004 (2004).
87 Sorensen, R. U. & Klinger, J. D. Biological effects of Pseudomonas aeruginosa
phenazine pigments. Antibiotics and chemotherapy 39, 113-124 (1987).
88 Denning, G. M., Railsback, M. A., Rasmussen, G. T., Cox, C. D. & Britigan, B. E.
Pseudomonas pyocyanine alters calcium signaling in human airway epithelial cells. The
American journal of physiology 274, L893-900 (1998).
89 Baron, S. S. & Rowe, J. J. Antibiotic action of pyocyanin. Antimicrob Agents Chemother
20, 814-820 (1981).
52
90 Kerr, J. R. et al. Pseudomonas aeruginosa pyocyanin and 1-hydroxyphenazine inhibit
fungal growth. Journal of clinical pathology 52, 385-387 (1999).
91 Bondy-Denomy, J. The diverse impact of bacteriophages on the bacterial host Doctor of
Science thesis, University of Toronto, (2014).
92 O'Toole, G. A. Microtiter dish biofilm formation assay. Journal of visualized experiments
: JoVE, doi:10.3791/2437 (2011).
93 Chibeu, A. et al. The adsorption of Pseudomonas aeruginosa bacteriophage phiKMV is
dependent on expression regulation of type IV pili genes. FEMS microbiology letters
296, 210-218, doi:10.1111/j.1574-6968.2009.01640.x (2009).
94 Chung, I. Y., Jang, H. J., Bae, H. W. & Cho, Y. H. A phage protein that inhibits the
bacterial ATPase required for type IV pilus assembly. Proceedings of the National
Academy of Sciences of the United States of America 111, 11503-11508,
doi:10.1073/pnas.1403537111 (2014).
95 Beatson, S. A., Whitchurch, C. B., Sargent, J. L., Levesque, R. C. & Mattick, J. S.
Differential regulation of twitching motility and elastase production by Vfr in
Pseudomonas aeruginosa. Journal of bacteriology 184, 3605-3613 (2002).
96 Luong, P. M. et al. Emergence of the P2 phenotype in Pseudomonas aeruginosa PAO1
strains involves various mutations in mexT or mexF. Journal of bacteriology 196, 504-
513, doi:10.1128/JB.01050-13 (2014).
97 Olivas, A. D. et al. Intestinal tissues induce an SNP mutation in Pseudomonas aeruginosa
that enhances its virulence: possible role in anastomotic leak. PloS one 7, e44326,
doi:10.1371/journal.pone.0044326 (2012).
98 Lamarche, M. G. & Deziel, E. MexEF-OprN efflux pump exports the Pseudomonas
quinolone signal (PQS) precursor HHQ (4-hydroxy-2-heptylquinoline). PloS one 6,
e24310, doi:10.1371/journal.pone.0024310 (2011).
99 MGH-ParaBioSys:NHLBI Program for Genomic Applications, M. G. H. a. H. M. S.,
Boston, MA. P. aeruginosa PA14 Genomic Sequencing Project,
<http://pga.mgh.harvard.edu> (
100 He, J. et al. The broad host range pathogen Pseudomonas aeruginosa strain PA14 carries
two pathogenicity islands harboring plant and animal virulence genes. Proceedings of the
National Academy of Sciences of the United States of America 101, 2530-2535 (2004).
101 Choi, J. Y. et al. Identification of virulence genes in a pathogenic strain of Pseudomonas
aeruginosa by representational difference analysis. Journal of bacteriology 184, 952-961
(2002).
53
Appendix
Figure 12. Detail genome alignment for phages used in this study.
Genomes of closely related JBD phages were aligned and known gene functions were labeled.
Genes without function labeled represent hypothetical genes (ORFs) or genes with unknown
function. The numbers in black bordered boxes represent gene number, and blank boxes indicate
that the gene homolog does not exist in a specific phage. Phage JBD26 was used as the reference
genome, and the percentages shown are the differences in DNA sequence of phage genes
compared to homologs in phage JBD26. However, for genes with no homologs in JBD26, I
compared them to their homologs in JBD5. The genes labeled in yellow are the PrAGs examined
in this study.