Genetic Analysis of Cold Tolerance at the Germination and Booting Stages in Rice by Association Mapping

被引:80
作者
Pan, Yinghua [1 ]
Zhang, Hongliang [1 ]
Zhang, Dongling [2 ]
Li, Jinjie [1 ]
Xiong, Haiyan [1 ]
Yu, Jianping [1 ]
Li, Jilong [1 ]
Rashid, Muhammad Abdul Rehman [1 ]
Li, Gangling [1 ]
Ma, Xiaoding [2 ,3 ]
Cao, Guilan [2 ]
Han, Longzhi [2 ]
Li, Zichao [1 ]
机构
[1] China Agr Univ, Beijing Key Lab Crop Genet Improvement, Key Lab Crop Heterosis & Utilizat, Minist Educ, Beijing 100193, Peoples R China
[2] Chinese Acad Agr Sci, Inst Crop Sci, Key Lab Crop Germplasm Resources & Biotechnol,Min, Natl Key Facil Crop Gene Resources & Genet Improv, Beijing 100081, Peoples R China
[3] Guangxi Acad Agr Sci, Rice Res Inst, Nanning 530005, Guangxi, Peoples R China
来源
PLOS ONE | 2015年 / 10卷 / 03期
基金
中国国家自然科学基金;
关键词
QUANTITATIVE TRAIT LOCI; LOW-TEMPERATURE GERMINABILITY; GENOME-WIDE ASSOCIATION; SSR-MARKERS; IDENTIFICATION;
D O I
10.1371/journal.pone.0120590
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Low temperature affects the rice plants at all stages of growth. It can cause severe seedling injury and male sterility resulting in severe yield losses. Using a mini core collection of 174 Chinese rice accessions and 273 SSR markers we investigated cold tolerance at the germination and booting stages, as well as the underlying genetic bases, by association mapping. Two distinct populations, corresponding to subspecies indica and japonica showed evident differences in cold tolerance and its genetic basis. Both subspecies were sensitive to cold stress at both growth stages. However, japonica was more tolerant than indica at all stages as measured by seedling survival and seed setting. There was a low correlation in cold tolerance between the germination and booting stages. Fifty one quantitative trait loci (QTLs) for cold tolerance were dispersed across all 12 chromosomes; 22 detected at the germination stage and 33 at the booting stage. Eight QTLs were identified by at least two of four measures. About 46% of the QTLs represented new loci. The only QTL shared between indica and japonica for the same measure was qLTSSvR6-2 for SSvR. This implied a complicated mechanism of old tolerance between the two subspecies. According to the relative genotypic effect (RGE) of each genotype for each QTL, we detected 18 positive genotypes and 21 negative genotypes in indica, and 19 positive genotypes and 24 negative genotypes in japonica. In general, the negative effects were much stronger than the positive effects in both subspecies. Markers for QTL with positive effects in one subspecies were shown to be effective for selection of cold tolerance in that subspecies, but not in the other subspecies. QTL with strong negative effects on cold tolerance should be avoided during MAS breeding so as to not cancel the effect of favorable QTL at other loci.
引用
收藏
页数:14
相关论文
共 37 条
[1]   Association mapping of yield and its components in rice cultivars [J].
Agrama, H. A. ;
Eizenga, G. C. ;
Yan, W. .
MOLECULAR BREEDING, 2007, 19 (04) :341-356
[2]   QTLs conferring cold tolerance at the booting stage of rice using recombinant inbred lines from a japonica x indica cross [J].
Andaya, VC ;
Mackill, DJ .
THEORETICAL AND APPLIED GENETICS, 2003, 106 (06) :1084-1090
[3]   Genome-wide association defines more than 30 distinct susceptibility loci for Crohn's disease [J].
Barrett, Jeffrey C. ;
Hansoul, Sarah ;
Nicolae, Dan L. ;
Cho, Judy H. ;
Duerr, Richard H. ;
Rioux, John D. ;
Brant, Steven R. ;
Silverberg, Mark S. ;
Taylor, Kent D. ;
Barmada, M. Michael ;
Bitton, Alain ;
Dassopoulos, Themistocles ;
Datta, Lisa Wu ;
Green, Todd ;
Griffiths, Anne M. ;
Kistner, Emily O. ;
Murtha, Michael T. ;
Regueiro, Miguel D. ;
Rotter, Jerome I. ;
Schumm, L. Philip ;
Steinhart, A. Hillary ;
Targan, Stephan R. ;
Xavier, Ramnik J. ;
Libioulle, Cecile ;
Sandor, Cynthia ;
Lathrop, Mark ;
Belaiche, Jacques ;
Dewit, Olivier ;
Gut, Ivo ;
Heath, Simon ;
Laukens, Debby ;
Mni, Myriam ;
Rutgeerts, Paul ;
Van Gossum, Andre ;
Zelenika, Diana ;
Franchimont, Denis ;
Hugot, Jean-Pierre ;
de Vos, Martine ;
Vermeire, Severine ;
Louis, Edouard ;
Cardon, Lon R. ;
Anderson, Carl A. ;
Drummond, Hazel ;
Nimmo, Elaine ;
Ahmad, Tariq ;
Prescott, Natalie J. ;
Onnie, Clive M. ;
Fisher, Sheila A. ;
Marchini, Jonathan ;
Ghori, Jilur .
NATURE GENETICS, 2008, 40 (08) :955-962
[4]   Genome-wide association studies for feedlot and growth traits in cattle [J].
Bolormaa, S. ;
Hayes, B. J. ;
Savin, K. ;
Hawken, R. ;
Barendse, W. ;
Arthur, P. F. ;
Herd, R. M. ;
Goddard, M. E. .
JOURNAL OF ANIMAL SCIENCE, 2011, 89 (06) :1684-1697
[5]  
Chang T T, 1976, P S CLIM RIC, P87
[6]   Genetic structure and association mapping of cold tolerance in improved japonica rice germplasm at the booting stage [J].
Cui, Di ;
Xu, Chang-ying ;
Tang, Cui-feng ;
Yang, Chun-gang ;
Yu, Teng-qiong ;
A, Xin-xiang ;
Cao, Gui-lan ;
Xu, Fu-rong ;
Zhang, Jun-guo ;
Han, Long-zhi .
EUPHYTICA, 2013, 193 (03) :369-382
[7]   Identification of quantitative trait loci controlling cold tolerance at the reproductive stage in Yunnan landrace of rice, Kunmingxiaobaigu [J].
Dai, LY ;
Lin, XH ;
Ye, CR ;
Ise, KZ ;
Saito, K ;
Kato, A ;
Xu, FR ;
Yu, TQ ;
Zhang, DP .
BREEDING SCIENCE, 2004, 54 (03) :253-258
[8]   Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study [J].
Evanno, G ;
Regnaut, S ;
Goudet, J .
MOLECULAR ECOLOGY, 2005, 14 (08) :2611-2620
[9]  
Falush D, 2003, GENETICS, V164, P1567
[10]   Maize association population: a high-resolution platform for quantitative trait locus dissection [J].
Flint-Garcia, SA ;
Thuillet, AC ;
Yu, JM ;
Pressoir, G ;
Romero, SM ;
Mitchell, SE ;
Doebley, J ;
Kresovich, S ;
Goodman, MM ;
Buckler, ES .
PLANT JOURNAL, 2005, 44 (06) :1054-1064