Epigenetic changes and transposon reactivation in Thai rice hybrids
Transcript of Epigenetic changes and transposon reactivation in Thai rice hybrids
Epigenetic changes and transposon reactivationin Thai rice hybrids
Laksana Kantama • Supaporn Junbuathong •
Janejira Sakulkoo • Hans de Jong •
Somsak Apisitwanich
Received: 9 August 2012 / Accepted: 17 January 2013 / Published online: 31 January 2013
� Springer Science+Business Media Dordrecht 2013
Abstract Inter- or intraspecific hybridization is the
first step in transferring exogenous traits to the
germplasm of a recipient crop. One of the complicat-
ing factors is the occurrence of epigenetic modifica-
tions of the hybrids, which in turn can change their
gene expression and phenotype. In this study we
present an analysis of epigenome changes in rice
hybrids that were obtained by crossing rice cultivars,
most of them of indica type and Thai origin.
Comparing amplified fragment length polymorphism
(AFLP) fingerprints of twenty-four cultivars, we
calculated Nei’s indexes for measuring genetic rela-
tionships. Epigenetic changes in their hybrids were
established using methylation-sensitive AFLP finger-
printing and transposon display of the rice transpos-
able elements (TEs) Stowaway Os-1 and Mashu,
leading to the question whether the relationship
between parental genomes is a predictor of epigenome
changes, TE reactivation and changes in TE methyl-
ation. Our study now reveals that the genetic relation-
ship between the parents and DNA methylation
changes in their hybrids is not significantly correlated.
Moreover, genetic distance correlates only weakly
with Mashu reactivation, whereas it does not correlate
with Stowaway Os-1 reactivation. Our observations
also suggest that epigenome changes in the hybrids are
localized events affecting specific chromosomal
regions and transposons rather than affecting the
genomic methylation landscape as a whole. The weak
correlation between genetic distance and Mashu
Electronic supplementary material The online version ofthis article (doi:10.1007/s11032-013-9836-x) containssupplementary material, which is available to authorized users.
L. Kantama
Faculty of Liberal Arts and Science, Kasetsart University,
Kamphaengsaen Campus, Nakorn Pathom 73140,
Thailand
e-mail: [email protected]
S. Junbuathong
Pathumthani Rice Research Centre, Bureau of the
Research and Development, Rice Department, Minister of
Agriculture and Cooperation, Pathum Thani, Thailand
e-mail: [email protected]
J. Sakulkoo � S. Apisitwanich (&)
Department of Genetics, Faculty of Science, Kasetsart
University, Bangkhen Campus, Bangkok 10900, Thailand
e-mail: [email protected]
H. de Jong
Laboratory of Genetics, Wageningen University, P.O.
Box 309, 6700 AH Wageningen, The Netherlands
e-mail: [email protected]
S. Apisitwanich
Center of Advanced studies for Tropical Natural
Resources, Kasetsart University, Bangkok 10900,
Thailand
123
Mol Breeding (2013) 31:815–827
DOI 10.1007/s11032-013-9836-x
methylation and reactivation points at only limited
influence of genetic background on the epigenetic
status of the transposon. Our study further demon-
strates that hybridizations between and among specific
japonica and indica cultivars induce both genomic
DNA methylation and reactivation/methylation
change in the Stowaway Os-1 and Mashu transposons.
The observed epigenetic changes seem to affect the
transposons in a clear manner, partly driven by
stochastic processes, which may account for a broader
phenotypic plasticity of the hybrids. A better under-
standing of the epigenome changes leading to such
transposon activation can lead to the development of
novel tools for more variability in future rice breeding.
Keywords Oryza sativa � Intraspecific hybridization �DNA methylation � Transposon � Epigenetics
Abbreviations
AFLP Amplified fragment length polymorphism
CTAB Hexadecyl trimethyl-ammonium bromide
EDTA Ethylene diamine tetra-acetic acid
IR Rice accession from IRRI, Philippines
MITE Miniature inverted-repeat transposable
element
MSAP Methylation-sensitive amplified
polymorphism
RD Rice department accession number
TD Transposon display
TE Tris-EDTA buffer
TMD Transposon methylation display
UPGMA Unweighted pair group method with
arithmetic mean
Introduction
Plant breeders explore various methods to broaden the
genetic base of their crops. When the primary gene
pool is insufficient, desired traits like drought toler-
ance, disease resistance and favourable fruit or plant
shapes are screened for in related taxa. A suitable
relative will then be crossed with the crop in order to
transfer the desired trait to the recipient crop. Such
interspecific crosses followed by consecutive back-
crossing and selection rounds are known as introgres-
sive hybridization, a process that is time-consuming
and can be troublesome (reviewed in Anderson 1953;
Rieseberg and Carney 1998). Major bottlenecks
include incompatibilities (Blakeslee 1945; Stebbins
1958), complex epistatic interactions, linkage drag
(Young et al. 1988), transgressive segregation
(Rieseberg et al. 1999; Stelkens and Seehausen
2009) and epigenetic phenomena (Grant-Downton
and Dickinson 2006). In addition, interspecific hybrids
may display traits that either or both of the parents
lack, and so can adapt to a broader ecological niche
(Rieseberg et al. 2003; Donovan et al. 2010). Such
changes, sometimes considered unexplainable, are
now more often interpreted in the light of epigenetic
changes that effect expression of genes in hybrids and
their progenies. McClintock (1984) first described the
existence of what she called ‘genome shock’, the total
of unpredicted large-scale genome changes that lead to
transposon activation and other structural modifica-
tions of the chromosomes. Her ideas were substanti-
ated when studies revealed the molecular base of these
genomic changes (Liu and Wendel 2000; Comai et al.
2003; Madlung and Comai 2004; Michalak 2009).
Epigenome mutations are induced by changes in
cytosine methylation patterns, which can be regulated
by small interfering (si)RNAs (Shapiro 2010) leading
to up- and down-regulation of gene expression and
reactivation of transposable elements resulting in the
transposition, deletion, insertion and amplification of
their sequences. Epialleles can also be induced by
chemical treatment or in a genotype background
devoid of methylation maintenance. Such alleles
characterized by hypo- or hypermethylation can lead
to constitutive changes in gene expression and stable
inheritance (Akimoto et al. 2007).
This study presents the results of an analysis of
epigenome changes in rice hybrids of various cultivars
and landraces. A selection of 24 rice cultivars were
used, most of them indica type and grown in Thailand.
Genetic distances were calculated by Nei’s index
based on band sharing of amplified fragment length
polymorphism (AFLP) fingerprints. Six cultivars with
different Nei’s values were selected for in-depth
analysis of DNA methylation changes of their hybrids.
Our first interest was focused on the question whether
genetic distance of the parents could explain the
changes in DNA methylation upon hybridization.
If so, we expected to find a correlation between genetic
distance of the parental lines and DNA methyla-
tion alterations and transposon methylation and
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123
transposable element mobilization. To this end meth-
ylation-sensitive amplification polymorphism (MSAP)
and transposon display (TD) with transposon methyl-
ation display (TMD) protocols were used to establish
activity of Stowaway Os-1 and Mashu, two transpo-
sons that occur in high copy numbers in the rice
genome. Both transposons were chosen because of
their high prevalence in the rice genome, sufficient
clear-cut polymorphic bands between the varieties and
different potential for mobilization (Kishima et al.
2005; Takagi et al. 2003).
Materials and methods
Rice (Oryza sativa L.) seeds were obtained from the
Thai Rice Department and the Thai Department of
Agriculture, Ministry of Agriculture and Coopera-
tives. The varieties were (1) O. sativa ssp. indica var.
Kae Tom Klang; (2) Hawm Indok; (3) Pathum Thani1;
(4) Suphan Buri1 (SPR 1); (5) Chai Nat1; (6) Niaw
Phrae1; (7) RD 7; (8) RD 10; (9) RD 17; (10) Nam
Roo; (11) Jao Sawuey; (12) Puang Mahlai; (13) Look
Daeng Ruang Yao; (14) Goo Meuang Luang; (15)
Khao Tah Haeng; (16) Pah-tawng Daw; (17) Hawm
Pae; (18) Hawm Mali 105; (19) Khao Dawk Mali 105
(KDML 105); (20) Leuang Pratew 123; (21) Lon
Yung; (22) Kaw Diaw; (23) IR 36; (24) O. sativa ssp.
japonica var. Nipponbare. Following a genetic dis-
tance analysis, six varieties (4, 10, 13, 19, 23, 24) were
selected as parents (see Suppl. Table 1 for their sub-
species and phenotypic characteristics) and grown in a
greenhouse under controlled photoperiodicity for
precisely controlling flowering time. Thirty reciprocal
crosses were made using the method of emasculated
pollination panicles. Twenty-five F1 hybrids were
obtained and they were grown in 8-L pots under Thai
greenhouse conditions. For each hybrid we extracted
genomic DNA from the second and third leaves of
plants that were 2 months old. Four plants per hybrid
were used for the analysis.
DNA extraction
DNA was isolated using a modified version of the
CTAB method (Saghai-Maroof et al. 1984). Three
grams of liquid nitrogen-ground leaf material was
mixed with 10 mL of CTAB buffer (100 mM Tris, pH
8.0, 1.4 M NaCl, 20 mM EDTA, 2 % hexadecyl
trimethyl-ammonium bromide and 0.1 % 2-mercapto-
ethanol) and was incubated at 60 �C for 50 min. The
mixture was extracted two times with chloroform:iso-
amyl alcohol (24:1). Two volumes of CTAB precipi-
tation buffer (50 mM Tris, pH 8.0, 10 mM EDTA, 1 %
hexadecyl trimethyl-ammonium bromide) was added
to the aqueous phase and left for 5 min at 20 �C. All
mixture samples were centrifuged for DNA collection.
Each DNA sample was dissolved in 500 lL 1.5 M NaC
and, 5 lg/mL RNase and incubated for 15 min at
50 �C. The DNA was then precipitated with two
volumes of absolute ethanol and washed with 70 %
ethanol, and finally dissolved in 0.2 mL TE buffer.
Amplified fragment length polymorphism (AFLP)
DNA polymorphisms in the 24 rice varieties were
investigated by AFLP fingerprinting. The procedure
was based on Vos et al. (1995) with a few small
modifications. All DNA samples were digested with
EcoRI and MseI, followed by ligation with EcoRI and
MseI adapters. For the pre-amplification step two
selective nucleotide primers were used for MseI and
one selective nucleotide for EcoRI, of which we used
the eight primer combinations showing most poly-
morphisms (Suppl. Table 2). Pre-amplification was
performed in forty cycles of 94 �C for 30 s, 56 �C for
60 s, and 72 �C for 60 s. Selective amplification was
carried out consisting of one cycle of 94 �C for 30 s,
65 �C for 60 s and 72 �C for 60 s as first step; the
second step was a touch-down PCR with twelve
cycles, while the annealing temperature was decreased
in steps of 0.7 �C for each consecutive cycle from
65 �C to 56.6 �C. The last amplification step com-
prised 23 cycles of 94 �C for 30 s, 56 �C for 60 s and
72 �C for 60 s. The amplification products were
separated by electrophoresis on 6 % denaturing poly-
acrylamide gel and stained with 6 mM silver nitrate
plus 0.056 % formaldehyde silver nitrate for 30 min
(Echt et al. 1996). DNA bands in the range of
200–700 bp were scored for further analyses.
Genetic distance analysis
AFLP fingerprints were scored for calculating genetic
distances using Nei’s method (Nei 1973). NTSYSpc
software, version 2.10t (Rohlf 2001) was used for
cluster analyses according to the unweighted pair
group method with arithmetic mean (UPGMA).
Mol Breeding (2013) 31:815–827 817
123
Methylation-sensitive amplification
polymorphism (MSAP)
The DNA methylation status of parents and F1 hybrids
was compared using the MSAP (methylation-sensitive
amplification polymorphism) method of Xiong et al.
(1999). The technique is a modification of the AFLP
fingerprinting in which, next to the EcoRI restriction
enzyme, two more methylation-sensitive HpaII and
MspI isoschizomers were used. The pre-amplification
with one pair of primers was followed by selective
amplification with ten primer pairs (Suppl. Table 3).
Details of the pre-amplifi-cation, selective amplifica-
tion, gel electrophoresis and staining were the same as
the AFLP method described above. The MSAP
fingerprints of F1 hybrids were analyzed for altera-
tions in the banding patterns compared to those of the
parents according to patterns of additivity (Jin et al.
2008; Shaked et al. 2001).
Transposon display (TD)
We used transposon display (TD), a specific modifica-
tion of the AFLP fingerprinting, for detecting DNA
polymorphisms resulting from transpositions (Casa et al.
2000). The restriction enzyme used was EcoRI. Digested
fragments were ligated with EcoRI adapters as used for
the AFLP protocol. The pre-amplification primers were
EcoRI primer and transposable element specific primers
for mPing, Stowaway Os-1, Mashu and Dasheng
(Ngezahayo et al. 2009; Takagi et al. 2003; Kashkush
and Khasdan 2007). In the selective amplification step,
one selective nucleotide for EcoRI primers was used
with two selective nucleotides of transposable element-
specific primers (Suppl. Table 3). Details of pre-ampli-
fication, selective amplification, gel electrophoresis and
staining were the same as for the aforementioned AFLP
method. The transposon fragments identified from F1
hybrids were analyzed with those of their parents
according to the pattern of additivity.
Transposon methylation display (TMD)
A transposon methylation display (TMD) was used
for establishing methylated transposable element
sequences and their flanking sequence polymorphisms
(Takagi et al. 2003, Kashkush and Khasdan 2007). The
method is a modification of the TD in the sense that
restriction enzymes are now the HapII and MseI
isoschizomers along with HpaII/MseI adapters, and
primers for pre-amplification were HpaII/MspI prim-
ers, along with transposable element-specific primers,
the same as TD. The conditions for pre-amplification,
selective amplification, gel electrophoresis and stain-
ing were similar to MSAP and TD (Suppl. Table 3).
The polymorphic methylated fragments between par-
ents and their F1 hybrid were scored as described for
MSAP.
Results
Genetic distances between the cultivars
We used 198 polymorphic AFLP bands for establish-
ing Nei’s index values between 24 selected rice
varieties. Their genetic distance ranges from 1.34 for
Nipponbare—Indica var. RD 7, to 0.20 for Lon
Yung—Gaw Diaw (Fig. 1). The dendrogram based
on Nei’s index values revealed a clear separate cluster
of the japonica type Nipponbare and indica var. Nam
Roo (Suppl. Figure. 1). According to its phenotype,
Nam Roo is an upland landrace variety, previously
classified as a tropical japonica. In order to study
whether genetic distances of parents relate to the
extent of epigenetic change in the hybrids, we selected
six varieties as parents with genetic distances, increas-
ing at 0.1 intervals (Suppl. Table 4).
DNA methylation alteration in 25 families
DNA methylation changes between parental lines and
their hybrids were evaluated by MSAP fingerprinting.
We focused on the gel regions containing DNA
fragments of 150–350 base pairs, which displayed
19–33 bands. Bands with hemi-, complete or no CG
methylation in the offspring plants were compared with
their parents for establishing DNA methylation changes
(Fig. 2). Twenty-five hybrids, of which the parents’
genetic distances ranged from 0.35 to 1.04, showed
average methylation changes of 12.1–51.2 % (Table 1).
The highest rate of DNA methylation change was found
in the Nam Roo 9 IR 36 hybrid (51.2 %), whose
parental genetic distance is 0.87, whereas the lowest
change (12.1 %) was observed in the IR 36 9 Nippon-
bare and Nipponbare 9 IR 36 hybrids with a parental
genetic distance of 0.78. The parents with the highest
genetic distance, Nam Roo 9 KDML 105 and KDML
818 Mol Breeding (2013) 31:815–827
123
Kae T
om K
lang
Chai Nat
1RD 7
Hawm
Indok RD 17
RD 10
Nam R
ooJa
o Saw
uey Puang M
ahlai Look D
aeng R
uang
Yao
Goo Meu
ang L
uang
Khao T
ah H
aeng
Pah-ta
wng Daw Haw
m P
aeNiaw
Phr
Hawm
Mali
105
Leuan
g Pra
tew 12
3
Khao D
awk M
ali 10
5
Nipponbar
e Patum
Than
i 1 Suphan B
uri 1
IR 36
Lon Yung
Gaw D
iaw
Kae
Tom
Kla
ng**
**
Cha
i Nat
10.
526
****
RD
70.
393
0.63
4**
**H
awm
Indo
k0.
384
0.55
90.
604
****
RD
17
0.45
10.
578
0.49
0.58
****
RD
10
0.43
80.
456
0.59
70.
463
0.52
6**
**
Nam
Roo
0.92
81.
135
1.00
31.
119
0.86
40.
847
****
Jao
Saw
uey
0.48
90.
575
0.56
10.
580.
545
0.44
20.
736
****
Pua
ng M
ahla
i0.
442
0.62
0.48
60.
518
0.58
90.
451
0.77
70.
212
****
Look
Dae
ng R
uang
Yao
0.58
90.
453
0.63
80.
596
0.53
70.
496
0.65
10.
504
0.47
3**
**
Goo
Meu
ang
Luan
g0.
594
0.59
20.
80.
554
0.71
20.
614
0.89
50.
784
0.58
40.
702
****
Kha
o T
ah H
aeng
0.65
0.48
10.
763
0.35
60.
723
0.43
41.
182
0.64
90.
489
0.56
80.
569
****
Pah
-taw
ng D
aw0.
682
0.50
80.
776
0.51
10.
70.
481.
113
0.73
50.
530.
570.
642
0.41
2**
**
Haw
m P
ae0.
564
0.34
20.
562
0.35
0.56
60.
471
1.06
30.
589
0.48
30.
404
0.51
80.
321
0.31
9**
**
Nia
w P
hrae
10.
591
0.40
50.
597
0.52
70.
570.
427
0.96
10.
568
0.42
10.
536
0.54
0.42
70.
525
0.29
4**
**
Haw
m M
ali 1
050.
481
0.36
90.
547
0.44
10.
633
0.41
21.
135
0.48
40.
338
0.47
40.
569
0.32
70.
459
0.32
10.
3**
**
Leun
g P
rath
ew0.
624
0.48
10.
604
0.46
30.
662
0.43
40.
859
0.50
60.
489
0.36
90.
569
0.39
0.50
80.
362
0.42
70.
327
****
Kha
o D
awk
Mal
i 105
0.50
60.
481
0.64
40.
424
0.49
60.
459
1.03
70.
553
0.47
90.
566
0.55
10.
481
0.48
10.
295
0.38
80.
416
0.48
1**
**
Nip
ponb
are
1.08
70.
978
1.33
61.
134
0.90
80.
922
0.35
40.
856
0.86
20.
762
0.80
51.
105
0.87
80.
992
0.97
1.01
80.
901
0.83
1**
**
Pat
hum
Tha
ni 1
0.61
70.
405
0.62
70.
629
0.54
40.
520.
852
0.56
80.
482
0.51
30.
540.
498
0.5
0.41
90.
354
0.38
30.
450.
368
0.72
3**
**
Sup
han
Bur
i 10.
662
0.43
90.
716
0.62
10.
745
0.56
80.
904
0.41
70.
449
0.44
10.
752
0.61
70.
644
0.49
50.
517
0.48
10.
459
0.63
80.
976
0.49
5**
**
IR 3
60.
518
0.38
30.
619
0.62
40.
620.
494
0.87
40.
566
0.58
90.
511
0.51
80.
570.
573
0.39
80.
442
0.49
60.
520.
589
0.77
70.
419
0.47
4**
**
Lon
Yun
g0.
465
0.53
0.56
90.
446
0.6
0.48
30.
692
0.47
0.40
50.
459
0.61
80.
461
0.48
40.
511
0.34
90.
376
0.39
70.
445
0.81
10.
410.
391
0.47
6**
**
Gaw
Dia
w0.
578
0.68
30.
679
0.49
40.
767
0.55
40.
775
0.53
70.
413
0.61
80.
691
0.32
40.
534
0.48
0.50
20.
533
0.44
40.
556
0.97
60.
573
0.41
70.
595
0.2
****
Fig. 1 Nei’s (1973) genetic
distances of 24 rice varieties
in this study. The heatmap
displays the level of genetic
distance between the
cultivars, ranging from 0.2
(blue) to 1.4 (red). The
relatively large distances
between the japonica type
rice (NamRoo and
Nipponbare), and the indicatype rice are obvious
Mol Breeding (2013) 31:815–827 819
123
105 9 Nam Roo (1.04), showed methylation changes
of 43.5 and 48.1 %, respectively, whereas the parental
combinations with the lowest genetic distance, Nippon-
bare 9 Nam Roo and Nam Roo 9 Nipponbare (0.35),
showed methylation changes of 38.9 % and 47.2 %.
The Pearson product-moment correlation coefficient of
the genetic distance (r) and DNA methylation is –0.16
(Suppl. Figure 2A) and is not significant (P = 0.46).
Clearly, the genetic distances of their parents cannot
explain the rate of DNA methylation alterations in the
hybrids. Suppl. Table 5 presents the effect of the gender
of the variety on the level of DNA methylation changes
in the hybrid. The range of the alteration is different
between the varieties, e.g., IR 36 plant as paternal plant
could give a broader range of 12.1–51.2 % and Look
Daeng Ruang Yao as maternal parent gave the narrow
range of 32.5–43.5 %. The broarder range of the
alteration indicates that either variety being mother or
father alone does not influence the methylation change,
but more likely the specific combination of the parents
used. As an example, the hybrid of IR 36 as mother
displays 12.1 % methylation change, if father is
Nipponbare, whereas the methylation change is
48.7 % if the father is Nam Roo.
Transposon display of the rice hybrids
For the assessment of transposable element activation,
several class I and II transposable elements were tested,
including the LTR retrotransposon Dasheng and the
mPing, Stowaway and Mashu transposons. The latter
two were selected for further analyses because of their
high genomic copy number, clear DNA fingerprints
and abundance of DNA polymorphisms.
The first part of this study involved the transposon
display (TD) analysis of 25 hybrids. For each hybrid,
the transposon fingerprints of four different plants
were compared. Clear changes in the DNA finger-
prints were considered reactivation of the transposon
and the bands with different position compared to their
parents were used for calculating reactivation fre-
quencies. For Stowaway Os-1, only two plants were
found with a clear alteration in the DNA banding
pattern. In the IR36 9 Suphan Buri 1 and IR36 9
Nipponbare hybrids reactivation was detected in only
one out of the four plants (Table 2; Fig. 3). In one IR
36 9 Nipponbare hybrid plant 15.4 % Stowaway Os-
1 transposition was observed, whereas for one IR
36 9 Suphan Buri 1 plant this was 39.3 %.
The TD of the Mashu transposon showed that this
transposon has a far more dramatic effect on the
genomes of the rice hybrids. The highest average
change of bands in the hybrid plants of cross Nam
Roo 9 Nipponbare amounted to 36.1 % (Table 2).
The TD fingerprints in only one plant of the IR
36 9 Suphan Buri 1 cross did not change at all.
Correlation between this transposon reactivation and
genetic distance was weak and not significant
(r = 0.38, with P = 8 %). The four plants of the
same cross gave similar DNA fingerprints in 11 of the
25 hybrids, whereas the 14 remaining crosses pro-
duced plants with clearly very different finger-
prints, suggesting that these changes were stochastic
Fig. 2 a DNA methylation changes in the MSAP pattern of
IR36 9 SPR1 family. M = Marker; H = HpaII; M = MspI.
F1.1, F1.2, … are the respective individual F1 plants. The whitearrowheads indicate sites of demethylation change in the
progeny, whereas the black arrowheads show the methylation
change
820 Mol Breeding (2013) 31:815–827
123
(Table 2). Reactivation of Mashu was not correlated
with Stowaway Os-1 reactivation, except for one plant of
the IR 36 9 Suphan Buri1 hybrids in which similar
levels of reactivation were observed in both Stowaway
Os-1 and Mashu, measuring 39.3 and 40.0 %
respectively.
Transposon methylation display (TMD)
We also performed a transposon methylation display
(TMD) for Stowaway Os-1 and Mashu, asking the
question whether transposon methylation affects their
reactivation. Methylation in Stowaway Os-1 did not
change except in the IR 36 9 Suphanburi 1 hybrid that
showed methylation changes of 11.1 % (Table 2). In the
IR 36 9 Nipponbare hybrid, the transposon reactiva-
tion did not coincide with DNA methylation change. For
the flanking DNA sequence of Mashu, we observed
methylation alterations varying from 2.9 to 75.6 %,
according to additivity inheritance (Table 2; Fig. 4).
In hybrids of some crosses (e.g., IR 36 9 Look
Daeng Ruang Yao, Look Daeng Ruang Yao 9 IR 36
and IR 36 9 Nipponbare) similar TMD patterns
between the four plants were observed, while in other
crosses (e.g., Nam Roo 9 IR 36) Mashu methylation
changes varied dramatically between the plants, i.e.,
13.6–84.6 %. The hybrid plants obtained from the
Khao Dawk Mali 105 9 Nipponbare cross do not only
have the highest methylation change (75.6 %) but also
displayed a higher rate of Mashu mobilization (35.7 %).
Table 1 Overview of
crosses between rice
cultivars, their genetic
distances and methylation
changes, with average
values and ranges
The bracketed numbers
display the range of
percentage of methylation
change. NA not available,
SPR1 Suphan Buri 1,
KDML 105 Kwan Dawk
Mali 105
* The single numbers are
the average percentage of
methylation change
Cross Genetic distance Methylation change (%)*
Nipponbare 9 Nam Roo 0.35 38.9
Nam Roo 9 Nipponbare 0.35 47.2
Look Daeng Ruang Yao 9 SPR 1 0.44 39.3
SPR 1 9 Look Dang Rung Yao 0.44 46.4 (42.9–50.0)
IR 36 9 SPR 1 0.47 40.3 (27.8–50.0)
SPR 1 9 IR 36 0.47 28.4 (27.3–31.8)
IR 36 9 Look Dang Rung Yao 0.51 47.8 (39.1–52.2)
Look Daeng Ruang Yao 9 IR 36 0.51 43.5
Look Daeng Ruang Yao 9 KDML 105 0.57 NA
KDML 105 9 Look Daeng Ruang Yao 0.57 NA
IR 36 9 KDML 105 0.59 40.0
KDML 105 9 IR 36 0.59 27.2 (17.4–34.8)
SPR 1 9 KDML 105 0.64 20.0
KDML 105 9 SPR 1 0.64 NA
Look Daeng Ruang Yao 9 Nam Roo 0.65 32.5 (30.0–35.0)
Nam Roo 9 Look Daeng Ruang Yao 0.65 38.7 (30.0–50.0)
Look Daeng Ruang Yao 9 Nipponbare 0.76 NA
Nipponbare 9 Look Daeng Ruang Yao 0.76 NA
IR 36 9 Nipponbare 0.78 12.1
Nipponbare 9 IR 36 0.78 12.1
Nipponbare 9 KDML 105 0.83 29.6 (27.8–33.3)
KDML 105 9 Nipponbare 0.83 29.2 (27.8–33.3)
IR 36 9 Nam Roo 0.87 48.7 (35.0–60.0)
Nam Roo 9 IR 36 0.87 51.2 (45.0–55.0)
Nam Roo 9 SPR1 0.90 22.6 (21.4–25.0)
SPR1 9 Nam Roo 0.90 23.2 (21.4–25.0)
SPR 1 9 Nipponbare 0.98 39.8 (36.4–45.4)
Nipponbare 9 SPR 1 0.98 31.8 (27.3–36.4)
Nam Roo 9 KDML 105 1.04 43.5 (41.7–44.4)
KDML 105 9 Nam Roo 1.04 48.1 (44.4–55.6)
Mol Breeding (2013) 31:815–827 821
123
In addition, the overall correlation of Mashu methylation
and its reactivation amount r = 0.40 (P \ 0.05, Suppl.
Figure 2B) and that of DNA methylation change and
genetic distance r = 0.43 (P \ 0.05).
Discussion
Our study clearly shows that intraspecific F1 hybrids
can undergo epigenetic changes while the selfed
progeny of their parents do not. We also demonstrated
that this epigenome alteration is not proportional to
genetic relationship; rather, it seems that specific
combinations of parents lead to such changes in the
progeny. Previous reports have described different
extents of DNA methylation change for both inter-and
intraspecific rice hybrids. Jin et al. (2008) observed
7.9 % DNA methylation changes in Oryza sati-
va 9 O. officinalis F1 and BC1 progeny, whereas
Xiong et al. (1999) reported a 1.5 % gain or loss of
Table 2 Percentages of transposon reactivation and methylation changes in rice hybrids
Cross Stowaway Os-1* Mashu*
Reactivation (%) Methylation
change (%)
Reactivation (%) Methylation
change (%)
Nipponbare 9 Nam Roo 0 0 33.3 32.1
Nam Roo 9 Nipponbare 0 0 36.1 32.1
Look Daeng Ruang Yao 9 Suphanburi 1 0 0 3.1 4.8 (2.9–5.7)
Suphanburi1 9 Look Dang Rung Yao 0 0 4.6 (3.1–6.1) 2.9
IR 36 9 Suphanburi1 9.8 (0–39.3) 2.8 (0–11.1) 10.9 (0–40.0) 20.2 (16.0–24.0)
Suphanburi1 9 IR 36 0 0 13.9 20.0
IR 36 9 Look Dang Rung Yao 0 0 6.7 10.5
Look Daeng Ruang Yao 9 IR 36 0 0 6.7 10.5
Look Daeng Ruang Yao 9 KDML 105 NA NA NA NA
KDML 105 9 Look Daeng Ruang Yao 0 0 10.5 52.9
IR 36 9 KDML 105 0 0 27.5 50.0
KDML 105 9 IR 36 0 0 22.5 (15.0–27.5) 51.2 (50–55)
Suphanburi1 9 KDML 105 NA NA NA NA
KDML 105 9 Suphanburi1 NA NA NA NA
Look Daeng Ruang Yao 9 Nam Roo 0 0 15.3 (12.0–18.5) 39.3 (35.7–42.9)
Nam Roo 9 Look Daeng Ruang Yao 0 0 10.8 (8.3–12.0) 8.3 (7.1–10.7)
Look Daeng Ruang Yao 9 Nipponbare NA NA NA NA
Nipponbare 9 Look Daeng Ruang Yao NA NA NA NA
IR 36 9 Nipponbare 3.85 (0–15.4) 0 4.5 (3.1–8.6) 46.4
Nipponbare 9 IR 36 0 0 4.8 (2.9–5.7) 46.4
Nipponbare 9 KDML105 0 0 21.9 (10.5–29.2) 32.1 (30.8–34.6)
KDML105 9 Nipponbare 0 0 28.8 (22.7–34.6) 75.6 (73.1–76.9)
IR 36 9 Nam Roo 0 0 16.7 (10.0–26.1) 17.4
Nam Roo 9 IR 36 0 0 25.7 (18.2–35.7) 32.4 (13.6–86.4)
Nam Roo 9 SPR1 0 0 15.1 (8.3–18.5) 15.1 (13.6–22.7)
SPR1 9 Nam Roo 0 0 19.6 (15.3–21.4) 19.3 (18.2–22.7)
SPR 1 9 Nipponbare 0 0 10.8 35.0
Nipponbare 9 SPR 1 0 0 10.8 35.0
Nam Roo 9 KDML 105 0 0 10.3 (7.1–13.3) 66.7 (67.3–73.0)
KDML 105 9 Nam Roo 0 0 15.6 66.2 (54.1–75.7)
* Single numbers are average values. Bracketed values refer to their range. NA not available, SPR1 Suphanburi1, KDML 105 Khaw
Dawk Mali 105
822 Mol Breeding (2013) 31:815–827
123
cytosine methylation in the Chinese Shanyou 63 elite
rice hybrid, compared to its parental lines (both O.
sativa). Their results suggest that crosses between
more distant parents (interspecific crosses) have a
more dramatic effect on DNA methylation than
intraspecific crosses (Moghaddam et al. 2010). In
our study we showed that intra-subspecies crosses
induce methylation changes in the range of
20.0–51.2 %, which is close to such changes in
inter-subspecies (japonica and indica) crosses
(12.1–47.2 %). In addition, the highest methylation
change of 51.2 % was found in the Nam Roo 9 IR 36
F1 whose parental genetic distance was 0.87, while the
parents Nam Roo and KDML 105 with the highest
genetic distance of 1.04 produced hybrids with 48.1 %
change (Table 1). The results, although still small in
number, favour the hypothesis that genetic difference
between parents in rice crosses is not the major
determinant of DNA methylation changes.
Additional information on the complex relationship
of genetic distance and DNA methylation alterations
came from a study of a Zizania latifolia introgression
to O. sativa, in which dramatic changes were detected
in introgression lines of rice with\0.1 % of the wild
rice DNA (Dong et al. 2006). The authors hypothe-
sized that the induction of DNA methylation changes
is the consequence of disturbances of chromatin states
caused by a combination of alien chromatin insertion,
introduction of exogenous trans-acting methylation-
modifying factors and/or genomic rearrangements.
Therefore, the induction factors for epigenome
changes are more likely to depend on specific com-
binations of parental lines, maternal or paternal effects
or interplay of cytoplasmic factors rather than the
overall level of DNA sequence divergence.
Fig. 3 Transposon display of Stowaway Os-1. Lanes 1.1–1.4
are the F1 s of Suphan Buri 1 9 IR 36; lanes 2.1–2.4 the F1 s of
IR36 9 SPR1. Most F1 s of both families showed no reactiva-
tion of Stowaway Os-1, except one hybrid of IR 36 9 SPR 1,
F12.1. The arrows point at examples where transposons have
mobilized (black = new band; white = missing band). The
weak contrast in the second lane of the parental IR-36 has been
improved digitally
Fig. 4 Transposon methylation display of Mashu in a hybrid of
Nipponbare 9 Suphan Buri 1 (nos. 1.1–1.3) and Suphan Buri
1 9 Nipponbare (nos. 2.1–2.4). The black arrowheads point at
cases of disappearance of parental Nipponbare bands in the F1 s,
indicating that the sequences around Mashu became methylated
Mol Breeding (2013) 31:815–827 823
123
The level of DNA methylation alteration
and reactivation of the transposons
DNA methylation makes up part of the plant’s defence
system by silencing transposable elements in the
genome and DNA methylation changes may cause
transposon reactivation. Here we examined two
members of the miniature inverted repeat transposable
elements (MITEs): Stowaway Os-1 and Mashu.
MITEs are non-autonomous transposons, which are
highly polymorphic and prevalent, especially in
single-copy regions in the genome of higher plants
(Feschotte et al. 2003; Jiang et al. 2004; Nagano et al.
2002). Stowaway Os-1 elements display high
sequence divergence and are thought to be relatively
old, inactive elements. They contrast with Mashu
transposons whose uniform sequences and high var-
iability of insertion sites between AA_genome vari-
eties suggest a younger and more active element.
(Takagi et al. 2003). In our TD study we demonstrate
that Stowaway Os-1, in spite of its silent nature can—
in specific cases—also be reactivated in intraspecific
hybrids.
Our TMD analysis on the flanking sequences of
Stowaway Os-1 reveals epigenome effects in only one
of the hybrid plants of the IR 36 9 Suphanburi 1
cross. This plant has a methylation change of 44.4 %,
while one of the other plants from the same cross with
an overall 50 % methylation change did not show
Stowaway Os-1 methylation change at all. So, the
TMD of Stowaway Os-1 and MSAP data clearly
indicate that genomic and Stowaway Os-1 DNA
methylation changes are here not related. Further-
more, our data also show that the IR 36 9 Nipponbare
hybrid with 15.4 % reactivation of transposons expe-
riences no concurrent changes in its DNA methylation,
suggesting that regulation of transposon activation is
orchestrated by one of a combination of different
mechanisms, e.g., CG and non-CG methylation,
histone modification, small RNAs, chromatin struc-
ture and gap repair (Rigal and Mathieu 2011; Wang
et al. 2009; Takagi et al. 2003). We also speculate that
the low rate of Stowaway Os-1 reactivation (2 % of all
hybrids) is likely a stochastic phenomenon, rather than
being caused by the hybridization. To prove this
hypothesis, a far larger number of different rice hybrid
families needs to be analyzed.
TD and TMD of the younger and possibly more
active MITE Mashu transposon showed a very
different picture. The TD analysis for reactivation of
the transposon was found in all hybrids, except one for
IR 36 9 Suphanburi 1. The TMD fingerprints revealed
methylation changes in DNA flanking Mashu transpo-
sons in all hybrid plants. The rate of Mashu was
significantly correlated (P = 0.047) with methylation
changes, as well as with methylation changes and
genetic distances of their parents (P = 0.030). Mashu
reactivation versus genetic distance was not clearly
correlated (P = 0.053) and not significant. Even
though Stowaway Os-1 and Mashu reactivation differ
in their correlation to genetic distance, our observa-
tions suggest that epigenetic regulation of transposon
methylation and reactivation are not directly deter-
mined by genetic distances and/or their interaction, but
are more likely under the control of unknown factors.
Consequently the genomic shock leading to epigenetic
change might be a combination of hybridization and
interaction of parental factors. Also, the differences in
response to transposons between the hybrid families
might be explained in terms of differences in trans-
posable element expression conditions in the evolu-
tionary and environmental history of each host
(Grandbastien et al. 2005).
Genome stress by hybridization can induce trans-
poson activation, but not all transposons react simi-
larly, as was shown by the differences between
Stowaway Os-1 and Mashu. This observation suggests
that hybridization is not a general causal factor
explaining mobilization of all transposon families.
Wang et al. (2009) revealed that transposon reactiva-
tion differs between transposons for different stresses.
For instance, incompatible cross-pollination in rice
activated mPing, Osr7, Tos17 and Osr23, but not Osr2,
Osr3, Osr35, Osr42, Os19, Ping and Pong. This
specificity probably depends on how the small motif
in the regulatory region of the transposon responds to
stress signal molecules and how such a motif can be
part of the specific inducible enhancers which are
present and accumulate in the regulatory region
(Grandbastien 1998; McDonald et al. 1997). Stow-
away Os-1 and Mashu are MITEs whose transposi-
tions depend on transposases of related autonomous
elements. The former belongs to the Stowaway
superfamily, whereas Mashu is a Tourist-like and
belongs to the PIF-Harbinger superfamily member
(Zhang et al. 2004), and so both have their own
evolutionary history. The regulatory motifs may
therefore differ in their response to hybridization
824 Mol Breeding (2013) 31:815–827
123
stress. In addition, Osmars, whose transposase are
likely capable of Stowaway transpositions, occur to a
great extent in deleted forms (Yang et al. 2009) and so
may explain the low reactivation of this transposon in
an altered epigenetic landscape.
Kawakami et al. (2011), who analyzed natural
hybrids of wild sunflower (Helianthus spp.), suggested
that element depression can be an alternative expla-
nation for reactivation of transposable elements by
hybridization. The authors argued that control of
reactivation and expansion acts as a posttranscrip-
tional mechanism of repression. Cross-hybridization
can trigger epigenome changes and reactivation of
transposons to different extents, depending on the
specific responses of regulatory mechanisms, of the
transposon to stress signals, host-specific expression
conditions in the evolutionary and environmental
history and other unknown factors (Grandbastien
et al. 2005), as well as depression by posttranscrip-
tional mechanisms. This complex amalgam of factors
may explain why mobilization and methylation of
transposons following inter- and intraspecific hybrid-
ization does not clearly relate to genetic distances and
relatedness of parental lines.
Stochastic reactivation and methylation
of Stowaway Os-1 and Mashu
A specific aspect of epigenetic variation is the
occurrence of stochastic accumulation of epigenetic
alterations. In our rice experiments we were able to
establish such changes in plants of the same family in
which methylation changes at specific loci are random.
Stochastic epigenetic changes were most frequently
observed in Mashu, typically in families in which
methylation changes range widely, e.g. in the Nam
Roo 9 IR 36 offspring (cf. Table 2). Comparing
Mashu and Stowaway Os-1 reactivation shows that
Stowaway Os-1 has a lower rate (2/25) of transposon
reactivation among hybrids in the same family than
Mashu, which showed more random changes in 14 of
the 25 plant families. In addition, Stowaway-Os1
scored much lower than Mashu in the flanking DNA
methylation. Apparently these stochastic changes in
transposon reactivation and methylation are both
transposon- and family-specific.
Stochastic epigenetic changes have been studied in
both plants and animals (Wang et al. 2004; Singer
et al. 2011; Xie et al. 2011; Reinders et al. 2009) and
are known to occur at different loci, cell types and
individuals (Reiss et al. 2010; Reiss and Mager 2007).
Pfeifer et al. (1990) stated that each locus had a certain
efficiency of methylation maintenance and mainte-
nance failure, and so could differ in either response to
transposon type, plant hybrid family or offspring
individual. What causes this stochastic variation of
DNA methylation is still not known. Szyf (2011)
postulated that stochastic epigenetic changes might be
caused by an array of some agents/factors that do not
target main factors controlling methylation or activa-
tion of transposons, but can trigger epigenetic
changes. Another explanation underlying stochastic
epigenetic changes in transposons was suggested by
Reiss and Mager (2007), who postulated a molecular
conflict between cis- and trans-acting factors of
chromatin remodelling. In a cancer study in mouse,
the factors significantly related to DNA methylation
variability were aging and environment (Christensen
et al. 2009), which implies internal and external
effects. In our study, stochastic fragments were found
in the range of 0–84 % in the hybrid plants, all of
which were reared under the same greenhouse condi-
tions, suggesting that non-environmental factors play
a more prominent role in this variation. One can
speculate that if stochastic epigenetic changes play a
role in adaptation or generation of new phenotypes,
then they may play a significant role in long-term
processes of adaptation, selection and evolution. In
that respect, the young and dynamic transposon types
like the Mashu family may provide a high potential for
application in breeding programs.
We have demonstrated in our comparative study on
rice hybrids that intra-subspecific and intersubspecific
crosses between indica and japonica cultivars can
cause epigenetic changes, both specific and in sto-
chastic patterns to various extents. We have learned
that sequence divergence of the parents does not
explain such changes, but that DNA methylation
changes rather rely on the combination of the parents,
whereas transposon methylation and activation can
only be observed in specific genome parts in each
family. Such epigenetic alterations are potentially
interesting to geneticists and breeders as they may
provide more plasticity for organisms under stress
conditions. Support came from a study of Reinders
et al. (2009) on a population of recombinant inbred
lines of Arabidopsis, which were crossed to a
hypomethylated met1 parent. New phenotypes were
Mol Breeding (2013) 31:815–827 825
123
generated by randomly combining epi-alleles which
allowed the creation of new epigenetic phenotypes for
organisms with a narrow genetic base (Akimoto et al.
2007; Sakthivel et al. 2010). In our study, all families
were found to induce epigenetic changes to different
extents. However one can assume that part of these
changes can be beneficial for the individual, and so
may provide potential application in breeding pro-
grammes of rice.
Acknowledgments We thank our colleagues of the Rice
Department and Department of Agriculture, Ministry of
Agriculture and Cooperative, Thailand for providing the rice
seeds. This work was supported by grant no. MRG5080196 from
the Thailand Research Fund and by the Kasetsart University
Research and Development Institute, Bangkok, Thailand. The
authors also thank Dr. Erik Wijnker for extensive critical
remarks on the manuscript.
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