Population Structure, Genetic Diversity and Molecular Marker-Trait Association Analysis for High Temperature Stress Tolerance in Rice

被引:54
|
作者
Pradhan, Sharat Kumar [1 ]
Barik, Saumya Ranjan [1 ]
Sahoo, Ambika [1 ]
Mohapatra, Sudipti [1 ]
Nayak, Deepak Kumar [1 ]
Mahender, Anumalla [1 ]
Meher, Jitandriya [1 ]
Anandan, Annamalai [1 ]
Pandit, Elssa [1 ]
机构
[1] ICAR Natl Rice Res Inst, Crop Improvement Div, Cuttack, Orissa, India
来源
PLOS ONE | 2016年 / 11卷 / 08期
关键词
ORYZA-SATIVA L; LINKAGE DISEQUILIBRIUM; HEAT TOLERANCE; SSR MARKERS; SPIKELET FERTILITY; FLOWERING STAGE; MICROSATELLITE; QTL; RESISTANCE; SOFTWARE;
D O I
10.1371/journal.pone.0160027
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
Rice exhibits enormous genetic diversity, population structure and molecular marker-traits associated with abiotic stress tolerance to high temperature stress. A set of breeding lines and landraces representing 240 germplasm lines were studied. Based on spikelet fertility percent under high temperature, tolerant genotypes were broadly classified into four classes. Genetic diversity indicated a moderate level of genetic base of the population for the trait studied. Wright's F statistic estimates showed a deviation of Hardy-Weinberg expectation in the population. The analysis of molecular variance revealed 25 percent variation between population, 61 percent among individuals and 14 percent within individuals in the set. The STRUCTURE analysis categorized the entire population into three sub-populations and suggested that most of the landraces in each sub-population had a common primary ancestor with few admix individuals. The composition of materials in the panel showed the presence of many QTLs representing the entire genome for the expression of tolerance. The strongly associated marker RM547 tagged with spikelet fertility under stress and the markers like RM228, RM205, RM247, RM242, INDEL3 and RM314 indirectly controlling the high temperature stress tolerance were detected through both mixed linear model and general linear model TASSEL analysis. These markers can be deployed as a resource for marker-assisted breeding program of high temperature stress tolerance.
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页数:23
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