location of genomic regions contributing to€¦ · bingguang 1xiao , katherine drake 2 v, ijayv...
TRANSCRIPT
Bingguang Xiao1, Katherine Drake2, Vijay Vontimitta3, Zhijun Tong1, Xueting Zhang1, Mei-yun Li1, Xiao-dong Leng1, Ramsey S. Lewis2
North Carolina State University in collaboration with
Yunan Academy of Tobacco Agricultural Sciences
Location of genomic regions contributing to Phytophthora nicotianae resistance in the tobacco
cultivar ‘Florida 301’
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Black Shank: Phytophthora nicotaiane
Wilting & yellowing of lower leaves Stem and root necrosis
Disking of the pith
Total loss of crop
Source: http://www.apsnet.org/edcenter/intropp/lessons/fungi/Oomycetes/Pages/BlackShank.aspx
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Economic Impact of Black Shank
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
2006 2007 2008 2009 2010
% C
rop
Lost
Flue Cured Tobacco Disease Loss Estimates
Black Shank Granville Wilt Tomato Spotted Wilt Mosaic Target Spot
In North Carolina: Average crop loss of 3% over
the last 5 years
Average dollar loss of 20.7 million over the last 5 years
Black shank accounts for 30% of total disease incidence
Source: NCSU Flue Cured Tobacco Disease Report, 2010
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Current Sources of Resistance
Exotic N. tabacum genes Alien Nicotiana genes Transferred from cigar
cultivars in 1931
Partial, non-race specific resistance
Possible negative correlation with yield and quality in flue-cured tobacco
Transferred from N. longiflora (Phl)and N. plumbaginifolia (Php) in the 1960’s
Complete resistance but to race 0
No resistance to race 1
Recent wide-scale planting of cultivars with the Php gene has led to race shifts Races that can overcome the
Ph resistance now prevail Fl 301 resistance
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NCSU Plant Breeding Objective
To develop a cultivar with intermediate to high levels of both race 0 and race 1 resistance while maintaining high yield and quality Better understand resistance provided by Fl 301 and how it
compares to the resistance provided by Beinhart 1000 How to more efficiently transfer this resistance to new cultivars
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Black Shank Resistance in Historical Lines
Year of End % Variety Release Survival Yellow Special 1943 6.2 Gold Dollar Pre 1940's 7.1 Virginia Bright Leaf Pre 1940's 8.6 Yellow Special A Pre 1940's 9.0 Jamaica Pre 1940's 9.3 Warne Pre 1940's 9.4 400 1942 10.6 White Stem Orinoco Pre 1940's 10.6 White Gold 1949 11.4 Golden Cure 1950 11.8 Hicks Broadleaf Pre 1940's 12.8 Virginia Gold 1947 13.4 McNair 30 1962 17.2 Golden Wilt 1949 19.4 Vesta 5 1952 27.1 Vesta 64 1940's 27.5 Coker 187-Hicks 1957 30.0 NC 2326 1964 31.3 NC55 1996 33.6 Dixie Bright 101 1949 36.5 Vesta 30 1940's 37.4 McNair 10 1960 37.4 Oxford 1 1942 41.2 SC 58 1959 42.0 K149 1990 42.7 Oxford 3 1942 43.5 Ox. 1-181 1948 43.6 Coker 319 1962 43.9 Coker 139 1954 47.0 Dixie Bright 244 1955 47.3 McNair 135 1970 50.5 Coker 258 1966 50.8 Coker 187 1956 52.2 Dixie Bright 102 1949 52.3 Virginia 115 1964 54.9 McNair 20 1962 55.0 K326 1982 56.9 McNair 944 1973 62.7 Speight G-28 1969 62.7 NC810 2001 65.5 Oxford 2 1942 65.8 NC606 1999 69.0 K 394 1984 70.1 Coker 298 1964 70.3 Oxford 207 1996 71.8 NC 82 1979 75.9 Florida 301 Source 76.8 K346 1990 78.6 Beinhart 1000 Source 91.5
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Black Shank Resistance Origin in Early Flue-Cured Varieties
Most US flue-cured tobacco cultivars are believed to have derived the majority of their black shank resistance alleles from Fl 301 via these early varieties
Variety Pedigree Year
Florida 301 BigCuba/LittleCuba 1931
Oxford 1, 2, 1-181 Fla301/3*VirginiaBrightLeaf 1943
Oxford 3 Fla301/3*WhiteStemOrinoco 1943
Oxford 4 Fla301/3*Warne 1943
Vesta 30 Fla301/3*Warne//YellowSpecial 1949
Vesta 64 Fla301/3*WhiteStemOrinoco//YellowSpecial 1949
Dixie Bright 101 TI448A/4*400//Oxford1/3/Fla301/3*400 1950
Dixie Bright 102 TI448A/4*400//Oxford1/3/Fla301/3*400 1950
Coker 139 GoldenCure/Oxford 1-181//GoldenWilt/DixieBright101 1954
Coker 187 GoldenWilt/Oxford 1-181 1956
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Possible Mechanisms of Inheritance of Fl 301 Resistance
Simply inherited and controlled by recessive alleles Clayton, 1958
Partially dominant and influenced by modifiers Moore & Powell, 1959
Polygenic and additive Smith & Clayton, 1948; Crews
et al., 1964; Chaplin, 1966 Fl 301 in a race 1 black shank field in Rocky Mount, NC
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Beinhart 1000 QTL Study
Beinhart 1000 is a cigar line with a high level of black shank resistance
In 2012 a study was conducted to identify QTL associated with the black shank resistance in Beinhart 1000 using a limited number of microsatellite markers (Vontimitta and Lewis, 2012)
QTL identified here may be of value to cultivar development efforts
Beinhart 1000 beside a susceptible line in a race 1 black shank field in Rocky Mount, NC
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Objectives
To gain increased understanding of the mechanism of inheritance of black shank resistance in Fl 301
To identify microsatellite markers associated with Fl 301 genomic regions contributing to this resistance
To compare genomic regions contributing to resistance in Fl 301 to those previously found to be associated with resistance in Beinhart 1000
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Methods
Develop mapping population RIL population from Fl 301 x Hicks (a black shank susceptible
variety)
Evaluate for resistance Field – NC black shank disease nurseries at 3 locations in 2008 Greenhouse – Yuxi, China
Analyze data Linkage analysis to generate a map Multiple interval mapping to identify significant QTL
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Fl 301 x Hicks RIL Population
x
Fl 301 Hicks
F1 x
F2 x
F2:3 x
F3:4 x
F4:5 x
F5:6
F2 x
F2:3 x
F3:4 x
F4:5 x
F5:6
F2 x
F2:3 x
F3:4 x
F4:5 x
F5:6
F2 x
F2:3 x
F3:4 x
F4:5 x
F5:6
122 F5:6 Recombinant Inbred Lines
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Disease Evaluation Field Evaluation Greenhouse Evaluation
Evaluated in 3 locations in NC in 2008 in black shank disease nurseries RCBD with 3 reps 12-plant plots AUDPC was calculated for each plot
Evaluated in a GH in Yuxi, China in soil inoculated with P. nicotianae race 0 infested rice grains RCBD with 3 reps 8-plant experimental units AUDPC was calculated for each unit
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Genotyping and Linkage Map Generation
Parental lines were screened for polymorphisms at ~5700 microsatellite marker loci 5.95% were found to be polymorphic
Genotyped the 122 RIL lines with the
polymorphic markers 341 primer pairs → 373 polymorphic
microsatellite bands
373 polymorphic markers were classified into 24 linkage groups using JoinMap Groups based on a LOD score of 2.0 – 10.0 Kosambi’s mapping function used to order
marker and predict genetic distances
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QTL Identification
Composite interval mapping and multiple interval mapping were performed on field and greenhouse data separately using Windows QTL Cartographer V2.5
Composite interval mapping was used only to provide an initial model for multiple interval mapping QTL with LOD greater than 3.2
for field data and 3.4 for greenhouse data from CIM were kept for the first model in MIM
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AUDPC
0
5
10
15
20
25
30
# o
f RIL
s
AUDPC
Field AUDPC Histogram
Fl 301 Hicks K346
0
5
10
15
20
25
30
# o
f RIL
s AUDPC
Greenhouse AUDPC Histogram
Fl 301
Hicks
ANOVA indicated highly significant differences for AUDPC among 122 RILs
Fl 301 at the end of distribution for low AUDPC while Hicks is much higher
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Linkage Map
373 polymorphic markers mapped, map length: 1176 cM 34 markers not linked LG numbers align with Bindler et al. (2011) map
PT51859(2)0.0
PT1279(4)20.6
PT30061(2)27.9
TM1058234.4TM1037340.5
PT30350(2)49.4
TM1009362.1
2
TME07070.0TM103783.7TM101595.4PT60302(3)6.3TM109817.4PT20286(3)12.4TM1017319.4
TM1017548.4
3
TM109120.0
TM1085717.9
TM1097730.9TM1077132.7TM1080034.2TM1038236.8TME098038.2TME041244.9
TM1072155.0
PT1140(4)61.9
TM10476a72.1TM10476b74.7TM1082178.7
TM1091488.0
TM11213a96.3
TM10681120.6
4a
TM108930.0
TME052320.0
PT30167(4)33.5TM1005238.1TM1086041.0TM1086547.3TME098151.5TME072454.5PT61323b(4)57.5TM1006961.2PT5154963.4TM1095771.4TM1093572.7TM1005178.0
4b
TM101020.0
TM105889.3TM1089416.6PT30361a(4)19.7PT30361b(4)22.2
4c
TM108910.0
TM1133411.2PT30111(24)14.1TM1133215.9PT61321(5)20.2
TM1093231.9
5
PT50951a(6)0.0TM103726.7TME042312.3PT20287(6)25.8TM1073127.2TM1110634.1TM1085436.1TM1092337.2TM1107639.7TM11213b39.8TM1078944.3PT20172(6)46.6TM1111048.5PT20372(6)49.4TM1026849.7PT30183(6)50.0TM1116552.5PT50951b(6)54.5TM1013657.0TM1090157.5TM1008960.4TME082361.9TM1113366.4TM1047067.4TM1092269.0TM1117771.1TM1091775.0PT30202(3)80.2TM1044590.8
6TM108810.0TM111742.2TM104086.0PT30005(7)11.0TM1086415.0TME042718.4TM1094819.9TM1081722.8PT1078(10)24.3TM1111429.3PT55341(7)29.4TM1088732.0TM1094633.6PT30218(7)34.7PT53795(7)35.0PT30395(7)36.1TME043736.6TM1002738.6PT51405(7)40.7PT52753(7)41.4PT53518(7)42.5TME014144.2TME016346.1PT61512(7)49.2PT40009(7)55.6PT30174(7)62.0PT30165(7)65.1TM1087665.2
7
TM105810.0PT40005(18)7.4PT60231(18)16.3TM1058426.9TME013731.1TM1084639.1PT30142(18)42.5TM1124146.5TM1117152.5PT30485(8)54.8TM1065456.6TM1039057.7TME012559.7TM1096960.7TM1060162.0PT20391(8)63.8TM1101665.1TM10142a67.1TM1042870.0TM1021171.8TM10142b74.7TM1035878.2PT30351(8)80.3TM1119986.6TM1071995.3TM1061797.9
8
TM103590.0
TM106067.9
PT30110(9)24.8TM1096429.7PT30200(18)33.0TM1049537.5TM1078743.8TM1115146.1
TM1106258.1TM1065763.5
TM1013771.3
9/18
TM112330.0
PT30137(11)6.5
TM1115717.8TM10525b21.2TM10525a21.7PT30480(11)25.0PT30417(11)31.1
PT30168a(13)44.4
11a
PT1199(1)0.0
TM1098814.2
PT20383(11)25.3TME029332.4TME026134.7PT60046(11)38.5
PT30420(11)47.8
11b
TM109300.0
PT30459(12)9.1TM1032412.9
TM1035332.3TM1120236.3TM1113838.1TM1100140.6TM1038143.1TME011947.9TM1086250.6TM1013852.4TM1108355.0TME008259.0TM1102962.7PT30412(12)69.4
TME044384.7
12
PT30346a(15)0.0
PT30346b(15)15.7
PT20343(15)26.1
TM1032733.4PT61373(15)39.2PT30124(15)41.8
TM1055854.7TM1092955.7TM1044460.2PT52061(15)62.6TM1083867.3
TM1108877.8
PT30224(15)93.3
15
PT55333(5)0.0
TM110277.2
TM1090928.8TM1044329.7
TM1015740.1TM1067945.6TM10595a50.6TME079255.4TM10595b60.8TM1112066.1
PT20196(16)73.0PT20289(16)77.1TM1015381.4TM1102386.4
TM1113992.7
PT30316(16)100.2
TME0022108.1
PT20275(16)115.8
16
TM105190.0
TM1062423.4TM1130926.2TM1062127.7TM1062328.5TM1061929.6TME090031.4TME090132.3TM1084035.1TM1052037.0TM1081147.1TM1120647.8TM1025352.4TM1025557.8TM1109759.6TM1058964.9TM1025668.0TM1112573.2TM1021683.1PT30173(17)88.8PT55392(17)89.9PT30159(17)92.3TM1037198.9PT30314(17)100.2TM10816104.4
17
TM110260.0
TME00658.4
TM1100521.1TM1103026.5TME049128.3
TM1077437.9
TM10530a50.4
TM1113556.7TME041462.5
PT30289(19)74.2
TM1060381.0TM1120484.4
TM1110491.5TM1018196.1
19
TM103490.0
TME0324b9.1TME0324a14.1
TM1038633.3PT20149(20)35.6TM1101939.6PT30416(20)43.0
20
TM10966a0.0
TM10966b8.3
PT30355(21)22.8TM1098023.4TM1088227.8TM1098730.9TM1099731.4PT30186(21)36.0TM10530b41.9TM1043146.9TM1092650.1
TM1040461.2TM1086862.5TM1098964.2TM1040369.7
PT30257(21)79.1
21
TM109240.0
TME043610.2
TME044824.1TM1036831.6TM1116134.4TM1085036.5
PT30473(22)50.7TM1033754.0PT20242(22)55.7
TM1116666.8PT20213(22)71.7
TM1094290.0
22
TM108280.0TM111050.5
TM1013513.3TM1081415.6
PT30408(23)24.4
PT30380(23)47.2TM1025251.4TM1055753.0
TM1078664.6PT20192(23)73.6TM1018077.1PT20445(23)77.8TM1041379.8TM1013482.9TM1092891.6
23
TM108840.0TME04660.5
PT6030819.3TME074425.4TM1097026.6PT40035(24)27.6PT52633(24)28.6TM1120733.3PT30114(24)34.4PT51624(24)36.3PT61153(24)38.9
TME073468.6
24
)
)
PT55251(24)0.0
TM1035016.8
TM1015643.7TM1097948.1PT30028(13)51.0TM1079453.4PT30095(13)65.2TM1097667.1TM1084968.2TM1103668.4TME041068.9TM1072570.2TM1115373.0PT30034(13)73.2TM1110175.1
13
TM103920.0TM105521.9
TM1098312.1
PT30274(14)23.1TM1056227.5TM1014529.7TME052229.9PT61323a(4)32.5
TM1058549.2PT30053(14)50.2TM1114854.2
14
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11 QTL Identified in both field and greenhouse models 7 of the field QTL were also identified using the GH data 3 major QTL Explained ~35% of the phenotypic variation combined
Other QTL were all minor Each explained <7% of variation
Fl 301 Black Shank Resistance QTL
TM108810.0TM111742.2TM104086.0PT3000511.0TM1086415.0TME042718.4TM1094819.9TM1081722.8PT107824.3TM1111429.3PT5534129.4TM1088732.0TM1094633.6PT3021834.7PT5379535.0PT3039536.1TME043736.6TM1002738.6PT5140540.7PT5275341.4PT5351842.5TME014144.2TME016346.1PT6151249.2PT4000955.6PT3017462.0PT3016565.1TM1087665.2
Field
GH
0 5
10
15
PMI LG 7 TM109120.0
TM1085717.9
TM1097730.9TM1077132.7TM1080034.2TM1038236.8TME098038.2TME041244.9
TM1072155.0
PT114061.9
TM10476a72.1TM10476b74.7TM1082178.7
TM1091488.0
TM11213a96.3
TM10681120.6
Field GH
0 2 4 6
PMI LG 4
TM108840.0TME04660.5
PT6030819.3TME074425.4TM1097026.6PT4003527.6PT5263328.6TM1120733.3PT3011434.4PT5162436.3PT6115338.9
TME073468.6
Field
GH
0 2 4 6 8
PMI LG 24
Explained 17% variation Explained 13% variation
Explained 9% variation
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Fl 301 Black Shank Resistance QTL Effect (AUDPC)‡
LOD value
% Phenotypic Variance
Explained Linkage Left Right Position Green- Green- Green-
QTL Group† Marker Marker (cM) Field house Field house Field house 1 7 PT30174 PT30165 62.02 -45.09 -49.69 8.79 11.70 16.9 18.6 2 24 TME0466 PT60308 9.53 -32.09 -44.93 3.52 7.04 9.2 15.3 3 4 TM10552 TM10983 4.94 -28.05 -47.39 3.17 8.17 6.0 10.7 4 3 TM10173 TM10175 23.44 - -28.71 - 4.06 - 5.6 5 6 TM10470 TM10922 67.38 -28.24 -21.03 4.19 2.60 7.1 5.3 6 4 TM10821 TM11213a 83.75 -24.96 -35.95 2.79 5.02 4.2 6.9 7 11 PT30137 TM11157 10.56 41.27 - 5.96 - 6.6 - 8 19 TM11026 TME0065 1.01 21.20 31.84 2.14 4.77 3.4 6.3 9 24 PT51264 PT61153 37.29 -26.29 - 2.60 - 6.1 -
10 22 TM10386 PT20149 33.62 -22.69 -27.36 2.49 3.15 3.7 5.2 11 9 TM10606 PT30110 13.86 - 30.96 - 3.46 - 4.4 12 20 TME0324a TM10386 15.11 -25.30 - 3.21 - 4.3 - 13 8/18 TM10368 TM11161 26.94 -26.29 - 3.92 - 4.2 - 14 8/18 TM10358 PT30351 78.25 - -20.93 - 2.88 - 1.7 15 11 TM1025a PT30480 22.69 - 31.84 - 4.99 - 1.2
1 x 10 -7.71 - 0.33 - 0.4 - 1 x 12 -12.46 - 0.77 - -0.9 - 1 x 15 - -27.13 - - - 5.0 2 x 10 -27.94 - - 3.59 4.6 - 4 x 6 - 14.00 - 0.95 - 0.5 7 x 8 -29.93 - 3.29 - 5.0 - 8 x15 - -25.33 - 3.13 - 1.3
12 x 13 23.59 - 2.69 - 2.0 - † Linkage groups correspond to those published by Bindler et al. (2011). ‡ Negative effect indicates that the favorable allele affecting AUDPC was derived from Florida 301. A positive effect indicates that the favorable allele wsa derived from Hicks.
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Fl 301 vs Beinhart 1000
TM10
881
0.0
TM11
174
2.2
TM10
408
6.0
PT30
005
11.0
TM10
864
15.0
TME0
427
18.4
TM10
948
19.9
TM10
817
22.8
PT10
7824
.3TM
1111
429
.3PT
5534
129
.4TM
1088
732
.0TM
1094
633
.6PT
3021
834
.7PT
5379
535
.0PT
3039
536
.1TM
E043
736
.6TM
1002
738
.6PT
5140
540
.7PT
5275
341
.4PT
5351
842
.5TM
E014
144
.2TM
E016
346
.1PT
6151
249
.2PT
4000
955
.6PT
3017
462
.0PT
3016
565
.1TM
1087
665
.2
Field
GH0
5
10
15
PMI L
G 7
Beinhart 1000 x Hicks Florida 301 x Hicks
Explained 25% variation Explained 17% variation
The QTL with the largest effect in both the Beinhart 1000 and Fl 301 mapping populations was that found on LG 7 Both confidence intervals are positioned over marker locus PT30174 Identifying this QTL in a second population further validates its
importance to black shank resistance in N. tabacum
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The QTL identified on LG 15 in the Beinhart 1000 population was not identified in the Fl 301 population This QTL is linked to 2 genes influencing the accumulation of cis-abienol and sucrose
esters on the leaf surface Fl 301 doesn’t accumulate these compounds to a measurable degree on its leaf surface
This QTL could partially explain the significant difference in resistance between these two lines If so, it is highly unlikely that this variation exists in US flue-cured or burley
germplasm
PMI L
G 1
5 X
0
5
10
15
20
PT30
346
0.0
PT20
343
0.9
PT51
164
4.5
PT61
373
10.7
PT30
124
cis-
abie
nol
12.6
PT55
091
15.3
PT60
146
17.0
PT50
962
25.5
PT51
311
35.0
PT61
362
PT52
061
40.4
BMVS
EPT
2031
5PT
3020
943
.1
PT30
354
50.5
PT60
668
72.2
PT30
223
92.2
PT30
224
93.1
PT30
272
98.8
Final Percent Disease
AUDPC
Disease Index
Abl
BMVS
E Explained 20% variation
Fl 301 vs Beinhart 1000 Beinhart 1000 x Hicks Florida 301 x Hicks 20
12_A
P01
_Dra
ke.p
dfC
ongr
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Conclusions Fl 301 resistance is of the classic polygenic type Controlled by a combination of a few genes with large effects and a
greater number of genes with small to intermediate effects Fl 301 and Beinhart 1000 share the QTL on LG 7 which
contributes to the highest % of variation explained in both populations We would predict this QTL is in most varieties possessing Fl 301 type
resistance The QTL on LG 15 identified is probably unique to the Beinhart
1000 population This genetic variation likely is NOT in current varieties DNA markers associated with this region could be useful for precisely
transferring this unique variation to desired genetic backgrounds Fine mapping these regions with additional markers to more
precisely pinpoint markers associated with the resistance will aid in marker-assisted backcrossing and selection
2012
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Altria Client Services Philip Morris International Yunan Academy of Tobacco Agricultural Sciences NCSU Center for Applied Tobacco Genetics
Acknowledgements
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