ABSTRACT Document: INTERACTIVE SONIFICATION OF ABSTRACT DATA
ABSTRACT
1
ABSTRACT Blackleg, caused by the fungus Leptosphaeria maculans, is one of the most devastating diseases of canola worldwide. Several sources of partial resistance in the Brassica genomes were utilized in breeding programs for generating improved cultivars. In addition, a source of complete resistance has been identified in the B genome of Brassica species. However, the relationship between different sources of resistance is not clearly understood. Incorporation of the strong resistance in the B genome into oilseed rape (B. napus with A&C genomes) will be of great value to canola breeding programs. Our goal is to identify DNA markers associated with various resistant genes in Brassica genomes. We collected 129 genotypes and wild accessions of Brassica known to contain genes for both resistance and susceptibility to blackleg. Thirteen RAPD primers known to be linked with resistance genes were used to profile Brassica species. A combined analysis of disease scores along with DNA marker profiles identifies genomic regions associated with resistance. Association mapping will be done to determine Brassica-Leptosphaeria interactions; such information are critical for successful canola breeding program. INTRODUCTION Leptosphaeria maculans causes blackleg disease in Brassica species, resulting in substantial yield loss worldwide. Regions that have been largely affected are Australia, Canada and Europe (Chen et al. 1996). The infection pathway in B. napus has been studied extensively. Hyphae enter the leaf via stomata (Fig. 2.) and colonize intercellular spaces between mesophyll cells, then grow through the petiole mainly in xylem vessels or between cells of the xylem parenchyma and cortex. The fungus finally invades and kills cells of the stem cortex, resulting in a canker that may completely girdle the base of the stem (Fig.3). The genomic relationships among Brassica species are usually represented by the U triangle (Fig.1.). Brassica nigra (genome BB), Brassica oleracea (CC), and Brassica rapa (AA) are the primary diploid species. Brassica carinata (BBCC), Brassica juncea (AABB) and Brassica napus (AACC) are amphidiploids that result from hybridization between corresponding pairs of the diploid species. Oilseed rape and canola (B. napus) are important for edible oil production. A number of different sources of partial resistance to blackleg disease have been used successfully in breeding programs. However, the most promising source of resistance genes are Brassica ‘B’ genome of B. nigra, B. carinata or B. juncea; they confer complete resistance to blackleg disease (Balesdent et al. 2001). Attempts to use these genes in B. napus have been hampered by the lack of knowledge concerning the identity of these resistance genes and associated difficulties in interspecific breeding in Brassica. Association of DNA markers linked to resistance to blackleg disease in the USDA Brassica genome collections might distinguish susceptible from resistant lines. This information will be of great help to canola or rapeseed breeders and eventually to all growers in the United States and elsewhere. MATERIALS AND METHODS Plant Materials Seeds from 78, 45 and 6 genotypes of rapeseed were provided by USDA (Colorado, Ft Collins), Alabama A&M University and University of Georgia, Griffin, respectively. All the genotypes were grown in separate trays in the greenhouse at Alabama A&M University. Leaves were harvested when the plants were 5-6 weeks old for DNA extraction. DNA Extraction Genomic DNA of canola (Fig.4) was isolated from the leaves of all genotypes using a modified protocol developed by Edwards et al. (1991). Association Mapping of Blackleg Resistance In Brassica Genotypes Anthony Ananga, Ernst Cebert, Khairy Soliman, Ramesh Kantety, Rudy Pacumbaba, Koffi Konan Dept. of Plant & Soil Science, Alabama A&M University, Normal, AL-35762. OBJECTIVES 1. To screen for DNA markers associated with blackleg resistance gene in different Brassica species and public genotypes using RAPD markers 2. To evaluate all Brassica genotypes for blackleg resistance through field screening Fig 2. Scanning electron micrograph showing hyphae from conidia of L. maculans invading an oilseed rape leaf via a stomatal pore. (Courtesy of Alberta Research Council, Vegreville, Alberta, Canada.) Fig 1. U triangle Fig 3. Stems are girdled, and have dark or grey lesions with a dark boarder M 1 2 3 4 5 6 7 8 9 10 11 12 13 Primer OPB01 Name of Observation or Cluster (14)NSL6116 (12)NSL6114 (11)NSL6112 (15)NSL6117 (10)NSL6111 (5)NSL6106 (86)Maestro (88)Rasmas (87)Plainsman (85)Kronos (91)Viking (89)Talent (93)Wichita (79)Abilene (84)Jetton (83)Ceres (82)Banjo (81)Baldur (80)Arctic (19)NSL6121 (92)Wotan (90)Titan (20)NSL6122 (18)NSL6120 (17)NSL6119 (13)NSL6115 (9)NSL6110 (8)NSL6109 (6)NSL6107 (4)NSL6105 Average Distance Between Clusters 0.00.10.20.30.40.50.60.70.80.91.01.11.21.31.4 Fig12.RAPD based dendrogram of B. napus and B. napus var. napobrassica species Name of Observation or Cluster (74)PI278767 (86)Maestro (88)Rasmas (87)Plainsman (85)Kronos (91)Viking (89)Talent (93)Wichita (79)Abilene (84)Jetton (83)Ceres (82)Banjo (81)Baldur (80)Arctic (92)Wotan (90)Titan (73)NSL180171 (69)NSL80306 (77)PI279805 (76)PI279804 (75)PI279688 (66)NSL80283 (65)NSL68224 (60)NSL44750 (49)NSL22146 (47)NSL9360 (16)NSL6118 (3)NSL6104 (2)NSL6103 (1)NSL6102 Average Distance Between Clusters 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 Name of Observation or Cluster (78)PI303131 (86)Maestro (88)Rasmas (87)Plainsman (85)Kronos (91)Viking (89)Talent (93)Wichita (79)Abilene (84)Jetton (83)Ceres (82)Banjo (81)Baldur (80)Arctic (64)NSL67979 (63)NSL67978 (92)Wotan (90)Titan (68)NSL80302 (67)NSL80301 (61)NSL52535 (53)NSL31357 (51)NSL26506 (46)NSL6697 (42)NSL6662 (41)NSL6623 (36)NSL6556 (34)NSL6154 (27)NSL6147 (30)NSL6150 (33)NSL6153 (24)NSL6144 (31)NSL6151 (29)NSL6149 (26)NSL6146 (25)NSL6145 (28)NSL6148 (23)NSL6143 Average Distance Between Clusters 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 Name of Observation or Cluster (72)NSL167291 (86)Maestro (88)Rasmas (87)Plainsman (85)Kronos (91)Viking (89)Talent (93)Wichita (79)Abilene (80)Arctic (71)NSL91609 (84)Jetton (83)Ceres (82)Banjo (81)Baldur (56)NSL32703 (92)Wotan (90)Titan (70)NSL80311 (54)NSL31368 (48)NSL9363 (57)NSL34675 (45)NSL6695 (59)NSL42980 (43)NSL6663 (40)NSL6561 (37)NSL6558 (22)NSL6126 (44)NSL6694 (39)NSL6560 (21)NSL6125 Average Distance Between Clusters 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 Fig14.RAPD based dendrograms of B. napus and B. rapa species Fig15.RAPD based dendrograms of B. napus and B. rapa species Fig13.RAPD based dendrograms of B. napus and B. oleracea var. virids species Primer Sequence OPB01 5'-GTTTCGCTCC-3' OPB05 5'-TGCGCCCTTC-3' OPC08 5'-TGGACCGGTG-3' OPE03 5'-CCAGATGCAC-3' OPE11 5'-GAGTCTCAGG-3' OPE12 5'-TTATCGCCCC-3' OPE14 5'-TGCGGCTGAG-3' OPE16 5'-GGTGACTGTG-3' OPF02 5'-GAGGATCCCT-3' OPF10 5'-GGAAGCTTGG-3' OPG02 5'-GGCACTGAGG-3' OPT01 5'-GGGCCACTCA-3' OPI01 5'-ACCTGGACAC-3' Table.2. Chi-square Analysis for Significant DNA marker bands Associated with resistance between USDA accessions and Released cultivars tested at 95% confidence. 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 Pathological index Genotypes Blackleg disease ratings underfield conditions RESULTS Majority of the released genotypes from the Alabama A&M University and University of Georgia breeding program were found to be resistant to blackleg in field evaluations (Figure 5). Based on several DNA markers ranging from 280bp to 3500bp (Table. 2), some released genotypes and USDA accessions are found to be closely related. Primer OPI01 revealed the highest number of DNA markers. Primer OPF10 was found to have the highest polymorphic bands. DISCUSSION RAPD data indicated that some of the USDA accessions are related to released genotypes (Figures 12-15). DNA markers that are common in both accessions and genotypes might have some level of genetic resistance to blackleg disease. Out of the 13 primers used, OPF10 is highly polymorphic (82.7%) which may prove to be very useful for future screening of Brassica genotypes. Four UPGMA dendrograms (Figs.12-15) showed similarities between USDA accessions and released genotypes. Wotan and Titan with resistance levels of 0% and 10%, respectively, were found to cluster together with a number of USDA accessions. From these results, RAPD markers proved to be an efficient tool for marker assisted selection (MAS) in Brassica species in screening for blackleg disease. CONCLUSIONS Canola production in the U.S. and other parts of the world is increasing. The lack of information on markers for blackleg resistance associated with specific genotypes hampers canola breeding programs in the U.S. Several publications have reported new markers identifying other traits in canola; however, few reports are available on specific markers responsible for the identification of blackleg disease. Some linkage maps have been developed to identify DNA markers associated with economically important traits for use in canola breeding programs, but in order to establish informative linkage maps, molecular markers are needed. This study is designed to bridge that information gap. REFERENCES Chen, C.Y. and G. Seguin-Swartz, 1996. Hypersensitive response of Arabidopsis thaliana to an isolate of Phoma lingam virulent to oilseed and turnip rape. Cruciferae Newsletter 18: 106-107 Balesdent, M.H., A. Attard, D. Ansan- Melayah, R. Delourme, M. Renard, and T.Rouxel, 2001. Genetic control and host range of avirulence toward Brassica napus cultivars Quinta and Jet Neuf in Leptosphaeria maculans. Phytopathology 9 1: 70-76. Edwards, K., C. Johnstone, and C. Thompson. 1991. A simple and rapid method for the preparation of plant genomic DNA for PCR analysis. Nucl. Acids Res. 19:1349 Williams P H. and P A Delwiche 1979. Screening for resistance to blackleg of crucifers at the seedling stage. Proc Eucarpia Cruciferae Conference, Wageningen 1979, pp 164-170. Williams, J. G. K., A.R. Kubelik, K.J. Livak, J.A. Rafalski, and S. V. Tingey. 1990. DNA polymorphisms amplified by arbitrary primers are useful as genetic markers. Nucleic Acids Res. 22:4673-4680. ACKNOWLDGMENTS Dr. Phillip, Dept. of Plant Pathology University of Georgia Griffin. Dr. WU, Dept. of Plant & Soil Science, Alabama A&M University, Normal. Dr. Rufina Ward Dept. of Plant & Soil Science, Alabama A&M University, Normal. James Bolton, Dept. of Plant & Soil Science, Alabama A&M University, Normal. Karnita Golson, Dept. of Plant & Soil Science, Alabama A&M University, Normal. 21226bp 5148bp 4280bp 3530bp 2027bp 1904bp 1584bp 1375bp 947bp 831bp 564bp 125bp 21226bp 5148bp 4280bp 3530bp 2027bp 1904bp 1584bp 1375bp 947bp 831bp 564bp 125bp Fig 6. RAPD profiles of USDA accessions: 1.NSL6102, 2.NSL6103, 5.NSL6106, 10.NSL6111, 11.NSL6112, 12.NSL6114, 14.NSL6116, 15.NSL6117, 21.NSL6125, 23 23.NSL6143, 24.NSL6144, 25.NSL6145 26.NSL6146 29.NSL6149 Fig 7. RAPD profiles of USDA accessions: 1.NSL6102, 3.NSL6104, 5.NSL6106, 6. NSL6107, 10.NSL6111, 11.NSL6112, 12.NSL6114, 14.NSL6116, 15.NSL6117, 19.NSL6121, 21.NSL6125, 24.NSL6144, 25.NSL6145 26.NSL6146, Fig 8. RAPD profiles of USDA accessions: 5.NSL6106 10.NSL6111 12.NSL6114 14.NSL6116 15.NSL6117 21.NSL6125, 23.NSL6143 25.NSL6145 31.NSL6151 56.NSL32703 57.NSL34675 59.NSL42980, 64.NSL667979, 65.NSL68224, Fig 11. RAPD profiles of USDA accessions: 1.NSL6102, 2.NSL6103, 5.NSL6106, 14.NSL6116, 15.NSL6117, 21.NSL6125, 23.NSL6143, 25.NSL6145 26.NSL6146, 30.NSL6150, 31.NSL6114, 37.NSL6144, 40.NSL6561, 42.NSL6662 Fig 9. RAPD profiles of USDA accessions: 1.NSL6102, 2.NSL6103, 5.NSL6106, 10.NSL6111, 11.NSL6112, 12.NSL6114, 14.NSL6116, 15.NSL6117, 19.NSL6121, 21.NSL6125, 22.NSL6126, 23.NSL6143, 24.NSL6144, 25.NSL6145 Fig 10. RAPD profiles of USDA accessions: 1.NSL6102, 5.NSL6106, 10.NSL6111, 11.NSL6112, 12.NSL6114, 14.NSL6116, 15.NSL6117, 21.NSL6125, 23.NSL6143, 25.NSL6145 30.NSL6150, 31.NSL6121, 33.NSL6126, 37.NSL6144 12.80 2500bp 16.88 2100bp 22.52 1600bp 4.48 1500bp 8.86 1000bp 2542 3500bp 44.01 900bp OPE16 23.37 2500bp 44.01 2000bp 13.20 2100bp 5.15 1300bp 6.09 2000bp 20.83 1100bp 5.45 1600bp 5.14 1000bp 5.26 1400bp 13.43 900bp 8.72 1300bp 13.43 800bp OPE12 12.80 1000bp 5.15 5000bp 8.86 700bp 8.86 3600bp 19.70 280bp OPI01 8.86 3500bp 39.17 2100bp 8.86 2500bp 12.80 2000bp 39.17 2100bp 9.08 1500bp 11.72 800bp OPE11 41.54 1400bp 42.42 4000bp - 12.80 1300bp 31.66 2100bp OPE03 7.11 1100bp OPF10 36.71 3500bp - 5.15 3500bp 3.95 1600bp - 7.33 2000bp OPF02 6.04 1500bp OPB01 Chi- square Value Signific ant DNA Markers Name of Primer Chi- square Value Signific ant DNA Markers Name of Primer Table. 1. RAPD primers used in this study MATERIALS AND METHODS Blackleg resistance under field conditions Seeds were planted in late October 2005. Stand counts were made in early December. Plants were examined biweekly for disease development, cold injury, as well as overall condition. Severity of blackleg infection (% lodged or dead plants) was rated on a 0 to 9 scale where 0=no lodged or dead plants; 1=1- 10% lodged or dead plants; 2=11- 20%; 3=21 to 30%; 4=31 to 40%; 5=41 to 50%; 6=51 to 60%; 7=61 to 70%; 8=71 to 99%; 9= 100% plants lodged or dead. All the genotypes presented in Figure 5 were found resistant to blackleg. RAPD Amplification The protocol described by Williams et al. (1990) was followed with modification. Amplification reactions were carried out in 25uL . Random primers (Table 1) were purchased from MWG- Biotech AG (High point, NC) and Taq polymerase from Promega (Madison, WI). Gel was stained with 0.5ug/ml ethidium bromide and then visualized under UV light. Figures 6-11 represent amplified PCR products. Data Analysis Chi-square analysis (Table 2) was used to determine DNA markers specific to resistant public cultivars and USDA accessions. Pairwise comparison of genotypes and/or accessions based on the presence (1) or absence (0) of unique and shared polymorphic products was made to generate similarity coefficient using SAS. The similarity coefficient was used to construct dendrograms by the unweighted pair group method with arithmetic averages (UPGMA). Fig.4. Genomic DNA extracted from 13 genotypes of canola; M. Lambda DNA marker, 1. Maestro, 2.Oscar, 3. Pioneer, 4. Plainsman, 5.Rasmas, 6. Summer, 7.Talent, 8.Titan, 9. Viking, 10. Virginia, 11.Westar, 12. Wotan, 13. Wichita Primer OPE11 Primer OPE13 Primer OPE12 Primer OPE16 Primer OPF02 Fig 5 Response of blackleg disease to public genotypes under field condition
description
Primer. Sequence. OPB01. 5'-GTTTCGCTCC-3'. OPB05. 5'-TGCGCCCTTC-3'. OPC08. 5'-TGGACCGGTG-3'. OPE03. 5'-CCAGATGCAC-3'. OPE11. 5'-GAGTCTCAGG-3'. OPE12. 5'-TTATCGCCCC-3'. OPE14. 5'-TGCGGCTGAG-3'. OPE16. 5'-GGTGACTGTG-3'. OPF02. 5'-GAGGATCCCT-3'. OPF10. 5'-GGAAGCTTGG-3'. OPG02. - PowerPoint PPT Presentation
Transcript of ABSTRACT
ABSTRACTBlackleg, caused by the fungus Leptosphaeria maculans, is one of the most devastating diseases of canola worldwide. Several sources of partial resistance in the Brassica genomes were utilized in breeding programs for generating improved cultivars. In addition, a source of complete resistance has been identified in the B genome of Brassica species. However, the relationship between different sources of resistance is not clearly understood. Incorporation of the strong resistance in the B genome into oilseed rape (B. napus with A&C genomes) will be of great value to canola breeding programs. Our goal is to identify DNA markers associated with various resistant genes in Brassica genomes. We collected 129 genotypes and wild accessions of Brassica known to contain genes for both resistance and susceptibility to blackleg. Thirteen RAPD primers known to be linked with resistance genes were used to profile Brassica species. A combined analysis of disease scores along with DNA marker profiles identifies genomic regions associated with resistance. Association mapping will be done to determine Brassica-Leptosphaeria interactions; such information are critical for successful canola breeding program.
INTRODUCTIONLeptosphaeria maculans causes blackleg disease in
Brassica species, resulting in substantial yield loss worldwide. Regions that have been largely affected are Australia, Canada and Europe (Chen et al. 1996). The infection pathway in B. napus has been studied extensively. Hyphae enter the leaf via stomata (Fig. 2.) and colonize intercellular spaces between mesophyll cells, then grow through the petiole mainly in xylem vessels or between cells of the xylem parenchyma and cortex. The fungus finally invades and kills cells of the stem cortex, resulting in a canker that may completely girdle the base of the stem (Fig.3). The genomic relationships among Brassica species are usually represented by the U triangle (Fig.1.). Brassica nigra (genome BB), Brassica oleracea (CC), and Brassica rapa (AA) are the primary diploid species. Brassica carinata (BBCC), Brassica juncea (AABB) and Brassica napus (AACC) are amphidiploids that result from hybridization between corresponding pairs of the diploid species. Oilseed rape and canola (B. napus) are important for edible oil production.
A number of different sources of partial resistance to blackleg disease have been used successfully in breeding programs. However, the most promising source of resistance genes are Brassica ‘B’ genome of B. nigra, B. carinata or B. juncea; they confer complete resistance to blackleg disease (Balesdent et al. 2001). Attempts to use these genes in B. napus have been hampered by the lack of knowledge concerning the identity of these resistance genes and associated difficulties in interspecific breeding in Brassica. Association of DNA markers linked to resistance to blackleg disease in the USDA Brassica genome collections might distinguish susceptible from resistant lines. This information will be of great help to canola or rapeseed breeders and eventually to all growers in the United States and elsewhere.
MATERIALS AND METHODSPlant MaterialsSeeds from 78, 45 and 6 genotypes of rapeseed were provided by USDA (Colorado, Ft Collins), Alabama A&M University and University of Georgia, Griffin, respectively. All the genotypes were grown in separate trays in the greenhouse at Alabama A&M University. Leaves were harvested when the plants were 5-6 weeks old for DNA extraction.
DNA ExtractionGenomic DNA of canola (Fig.4) was isolated from the leaves of all genotypes using a modified protocol developed by Edwards et al. (1991).
Association Mapping of Blackleg ResistanceIn Brassica Genotypes
Anthony Ananga, Ernst Cebert, Khairy Soliman, Ramesh Kantety, Rudy Pacumbaba, Koffi KonanDept. of Plant & Soil Science, Alabama A&M University, Normal, AL-35762.
OBJECTIVES1. To screen for DNA markers associated with blackleg
resistance gene in different Brassica species and public genotypes using RAPD markers
2. To evaluate all Brassica genotypes for blackleg resistance through field screening
Fig 2. Scanning electron micrograph showing hyphae from conidia of L. maculans invading an oilseed rape leaf via a stomatal pore. (Courtesy of Alberta Research Council, Vegreville, Alberta, Canada.)
Fig 1. U triangle
Fig 3. Stems are girdled, and have dark or grey lesions with a
dark boarder
M 1 2 3 4 5 6 7 8 9 10 11 12 13
Primer OPB01
Name of Observation or Cluster
(14)NSL6116(12)NSL6114(11)NSL6112(15)NSL6117(10)NSL6111(5)NSL6106(86)Maestro(88)Rasmas(87)Plainsman(85)Kronos(91)Viking(89)Talent(93)Wichita(79)Abilene(84)Jetton(83)Ceres(82)Banjo(81)Baldur(80)Arctic(19)NSL6121(92)Wotan(90)Titan(20)NSL6122(18)NSL6120(17)NSL6119(13)NSL6115(9)NSL6110(8)NSL6109(6)NSL6107(4)NSL6105
Average Distance Between Clusters
0.00.10.20.30.40.50.60.70.80.91.01.11.21.31.4
Fig12.RAPD based dendrogram of B. napus and B. napus var. napobrassica species
Name of Observation or Cluster
(74)PI278767(86)Maestro(88)Rasmas(87)Plainsman(85)Kronos(91)Viking(89)Talent(93)Wichita(79)Abilene(84)Jetton(83)Ceres(82)Banjo(81)Baldur(80)Arctic(92)Wotan(90)Titan(73)NSL180171(69)NSL80306(77)PI279805(76)PI279804(75)PI279688(66)NSL80283(65)NSL68224(60)NSL44750(49)NSL22146(47)NSL9360(16)NSL6118(3)NSL6104(2)NSL6103(1)NSL6102
Average Distance Between Clusters
0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2
Name of Observation or Cluster
(78)PI303131(86)Maestro(88)Rasmas(87)Plainsman(85)Kronos(91)Viking(89)Talent(93)Wichita(79)Abilene(84)Jetton(83)Ceres(82)Banjo(81)Baldur(80)Arctic(64)NSL67979(63)NSL67978(92)Wotan(90)Titan(68)NSL80302(67)NSL80301(61)NSL52535(53)NSL31357(51)NSL26506(46)NSL6697(42)NSL6662(41)NSL6623(36)NSL6556(34)NSL6154(27)NSL6147(30)NSL6150(33)NSL6153(24)NSL6144(31)NSL6151(29)NSL6149(26)NSL6146(25)NSL6145(28)NSL6148(23)NSL6143
Average Distance Between Clusters
0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2
Name of Observation or Cluster
(72)NSL167291(86)Maestro(88)Rasmas(87)Plainsman(85)Kronos(91)Viking(89)Talent(93)Wichita(79)Abilene(80)Arctic(71)NSL91609(84)Jetton(83)Ceres(82)Banjo(81)Baldur(56)NSL32703(92)Wotan(90)Titan(70)NSL80311(54)NSL31368(48)NSL9363(57)NSL34675(45)NSL6695(59)NSL42980(43)NSL6663(40)NSL6561(37)NSL6558(22)NSL6126(44)NSL6694(39)NSL6560(21)NSL6125
Average Distance Between Clusters
0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0
Fig14.RAPD based dendrograms of B. napus and B. rapa species
Fig15.RAPD based dendrograms of B. napus and B. rapa species
Fig13.RAPD based dendrograms of B. napus and B. oleracea var. virids species
Primer Sequence
OPB01 5'-GTTTCGCTCC-3'OPB05 5'-TGCGCCCTTC-3'OPC08 5'-TGGACCGGTG-3'OPE03 5'-CCAGATGCAC-3'OPE11 5'-GAGTCTCAGG-3'OPE12 5'-TTATCGCCCC-3'OPE14 5'-TGCGGCTGAG-3'OPE16 5'-GGTGACTGTG-3'OPF02 5'-GAGGATCCCT-3'OPF10 5'-GGAAGCTTGG-3'OPG02 5'-GGCACTGAGG-3'OPT01 5'-GGGCCACTCA-3'OPI01 5'-ACCTGGACAC-3'
Table.2. Chi-square Analysis for Significant DNA marker bands Associated with resistance between USDA accessions and Released cultivars tested at 95% confidence.
00.20.40.60.8
11.21.41.61.8
2
Path
olog
ical in
dex
Genotypes
Blackleg disease ratings under field conditions
RESULTSMajority of the released genotypes from the Alabama A&M University and University of Georgia breeding program were found to be resistant to blackleg in field evaluations (Figure 5).
Based on several DNA markers ranging from 280bp to 3500bp (Table. 2), some released genotypes and USDA accessions are found to be closely related.
Primer OPI01 revealed the highest number of DNA markers.
Primer OPF10 was found to have the highest polymorphic bands.
DISCUSSIONRAPD data indicated that some of the USDA accessions are related to released genotypes (Figures 12-15). DNA markers that are common in both accessions and genotypes might have some level of genetic resistance to blackleg disease.
Out of the 13 primers used, OPF10 is highly polymorphic (82.7%) which may prove to be very useful for future screening of Brassica genotypes.
Four UPGMA dendrograms (Figs.12-15) showed similarities between USDA accessions and released genotypes. Wotan and Titan with resistance levels of 0% and 10%, respectively, were found to cluster together with a number of USDA accessions.
From these results, RAPD markers proved to be an efficient tool for marker assisted selection (MAS) in Brassica species in screening for blackleg disease.
CONCLUSIONSCanola production in the U.S. and other parts of the world is increasing. The lack of information on markers for blackleg resistance associated with specific genotypes hampers canola breeding programs in the U.S. Several publications have reported new markers identifying other traits in canola; however, few reports are available on specific markers responsible for the identification of blackleg disease. Some linkage maps have been developed to identify DNA markers associated with economically important traits for use in canola breeding programs, but in order to establish informative linkage maps, molecular markers are needed. This study is designed to bridge that information gap.
REFERENCESChen, C.Y. and G. Seguin-Swartz, 1996. Hypersensitive response of Arabidopsis thaliana to an isolate of Phoma lingam virulent to oilseed and turnip rape. Cruciferae Newsletter 18: 106-107
Balesdent, M.H., A. Attard, D. Ansan-Melayah, R. Delourme, M. Renard, and T.Rouxel, 2001. Genetic control and host range of avirulence toward Brassica napus cultivars Quinta and Jet Neuf in Leptosphaeria maculans. Phytopathology 9 1: 70-76.
Edwards, K., C. Johnstone, and C. Thompson. 1991. A simple and rapid method for the preparation of plant genomic DNA for PCR analysis. Nucl. Acids Res. 19:1349
Williams P H. and P A Delwiche 1979. Screening for resistance to blackleg of crucifers at the seedling stage. Proc Eucarpia Cruciferae Conference, Wageningen 1979, pp 164-170.
Williams, J. G. K., A.R. Kubelik, K.J. Livak, J.A. Rafalski, and S. V. Tingey. 1990. DNA polymorphisms amplified by arbitrary primers are useful as genetic markers. Nucleic Acids Res. 22:4673-4680.
ACKNOWLDGMENTS Dr. Phillip, Dept. of Plant Pathology University of Georgia Griffin. Dr. WU, Dept. of Plant & Soil Science, Alabama A&M University, Normal. Dr. Rufina Ward Dept. of Plant & Soil Science, Alabama A&M University, Normal.
James Bolton, Dept. of Plant & Soil Science, Alabama A&M University, Normal. Karnita Golson, Dept. of Plant & Soil Science, Alabama A&M University, Normal.
21226bp5148bp4280bp
3530bp2027bp1904bp1584bp
1375bp
947bp831bp
564bp
125bp
21226bp5148bp4280bp3530bp2027bp1904bp
1584bp
1375bp
947bp831bp
564bp
125bp
Fig 6. RAPD profiles of USDA accessions: 1.NSL6102, 2.NSL6103, 5.NSL6106, 10.NSL6111, 11.NSL6112, 12.NSL6114, 14.NSL6116, 15.NSL6117, 21.NSL6125, 2323.NSL6143, 24.NSL6144, 25.NSL6145 26.NSL6146 29.NSL6149
Fig 7. RAPD profiles of USDA accessions: 1.NSL6102, 3.NSL6104, 5.NSL6106, 6. NSL6107, 10.NSL6111, 11.NSL6112, 12.NSL6114, 14.NSL6116, 15.NSL6117, 19.NSL6121, 21.NSL6125, 24.NSL6144, 25.NSL6145 26.NSL6146,
Fig 8. RAPD profiles of USDA accessions: 5.NSL6106 10.NSL6111 12.NSL6114 14.NSL6116 15.NSL6117 21.NSL6125, 23.NSL6143 25.NSL6145 31.NSL6151 56.NSL32703 57.NSL34675 59.NSL42980, 64.NSL667979, 65.NSL68224,
Fig 11. RAPD profiles of USDA accessions: 1.NSL6102, 2.NSL6103, 5.NSL6106, 14.NSL6116, 15.NSL6117, 21.NSL6125, 23.NSL6143, 25.NSL6145 26.NSL6146, 30.NSL6150, 31.NSL6114, 37.NSL6144, 40.NSL6561, 42.NSL6662
Fig 9. RAPD profiles of USDA accessions: 1.NSL6102, 2.NSL6103, 5.NSL6106, 10.NSL6111, 11.NSL6112 ,
12.NSL6114, 14.NSL6116, 15.NSL6117, 19.NSL6121, 21.NSL6125, 22.NSL6126, 23.NSL6143, 24.NSL6144, 25.NSL6145
Fig 10. RAPD profiles of USDA accessions: 1.NSL6102, 5.NSL6106, 10.NSL6111, 11.NSL6112, 12.NSL6114, 14.NSL6116, 15.NSL6117, 21.NSL6125, 23.NSL6143, 25.NSL6145 30.NSL6150, 31.NSL6121, 33.NSL6126, 37.NSL6144
12.802500bp16.882100bp22.521600bp4.481500bp8.861000bp
25423500bp44.01900bpOPE1623.372500bp44.012000bp13.202100bp5.151300bp6.092000bp20.831100bp5.451600bp5.141000bp5.261400bp13.43900bp8.721300bp13.43800bpOPE12
12.801000bp5.155000bp8.86700bp8.863600bp
19.70280bpOPI018.863500bp39.172100bp8.862500bp12.802000bp39.172100bp9.081500bp11.72800bpOPE11
41.541400bp42.424000bp-12.801300bp31.662100bpOPE037.111100bpOPF1036.713500bp-5.153500bp3.951600bp-7.332000bpOPF026.041500bpOPB01
Chi-square Value
Significant DNA
Markers
Name of Primer
Chi-square Value
Significant DNA
Markers
Name of Primer
Table. 1. RAPD primers used in this study
MATERIALS AND METHODS
Blackleg resistance under field conditionsSeeds were planted in late October 2005. Stand counts were made in early December. Plants were examined biweekly for disease development, cold injury, as well as overall condition. Severity of blackleg infection (% lodged or dead plants) was rated on a 0 to 9 scale where 0=no lodged or dead plants; 1=1- 10% lodged or dead plants; 2=11- 20%; 3=21 to 30%; 4=31 to 40%; 5=41 to 50%; 6=51 to 60%; 7=61 to 70%; 8=71 to 99%; 9= 100% plants lodged or dead. All the genotypes presented in Figure 5 were found resistant to blackleg.
RAPD AmplificationThe protocol described by Williams et al. (1990) was followed with modification. Amplification reactions were carried out in 25uL . Random primers (Table 1) were purchased from MWG-Biotech AG (High point, NC) and Taq polymerase from Promega (Madison, WI). Gel was stained with 0.5ug/ml ethidium bromide and then visualized under UV light. Figures 6-11 represent amplified PCR products.
Data AnalysisChi-square analysis (Table 2) was used to determine DNA markers specific to resistant public cultivars and USDA accessions. Pairwise comparison of genotypes and/or accessions based on the presence (1) or absence (0) of unique and shared polymorphic products was made to generate similarity coefficient using SAS. The similarity coefficient was used to construct dendrograms by the unweighted pair group method with arithmetic averages (UPGMA).
Fig.4. Genomic DNA extracted from 13 genotypes of canola; M. Lambda DNA marker, 1. Maestro, 2.Oscar, 3. Pioneer, 4. Plainsman, 5.Rasmas, 6. Summer, 7.Talent, 8.Titan, 9. Viking, 10. Virginia, 11.Westar, 12. Wotan, 13. Wichita
Primer OPE11Primer OPE13
Primer OPE12 Primer OPE16 Primer OPF02
Fig 5 Response of blackleg disease to public genotypes under field condition
