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QTL and QTL networks for cold tolerance at the reproductive stage detected using selective introgression in rice

文献类型： 外文期刊

作者： Liang, Yuntao 2 ; Meng, Lijun 1 ; Lin, Xiuyun 4 ; Cui, Yanru 1 ; Pang, Yunlong 1 ; Xu, Jianlong 1 ; Li, Zhikang 1 ;

作者机构： 1.Chinese Acad Agr Sci, Inst Crop Sci, Beijing, Peoples R China

2.Guangxi Acad Agr Sci, Rice Res Inst, Nanning, Peoples R China

3.Chinese Acad Agr Sci, Agr Genom Inst Shenzhen, Shenzhen, Peoples R China

4.Jilin Acad Agr Sci, Rice Res Inst, Changchun, Jilin, Peoples R China

期刊名称：PLOS ONE （ 影响因子：3.24； 五年影响因子：3.788 ）

ISSN： 1932-6203

年卷期： 2018 年 13 卷 9 期

页码：

收录情况： SCI

摘要： Low temperature stress is one of the major abiotic stresses limiting the productivity of Geng (japonica) rice grown the temperate regions as well as in tropical high lands worldwide. To develop rice varieties with improved cold tolerance (CT) at the reproductive stage, 84 BC2CT introgression lines (ILs) were developed from five populations through backcross breeding. These CT ILs plus 310 random ILs from the same BC populations were used for dissecting genetic networks underlying CT in rice by detecting QTLs and functional genetic units (FGUs) contributing to CT. Seventeen major QTLs for CT were identified using five selective introgression populations and the method of segregation distortion. Of them, three QTLs were confirmed using the random populations and seven others locate in the regions with previously reported CT QTLs/genes. Using multi-locus probability tests and linkage disequilibrium (LD) analyses, 46 functional genetic units (FGUs) (37 single loci and 9 association groups or AGs) distributed in 37 bins (similar to 20%) across the rice genome for CT were detected. Together, each of the CT loci (bins) was detected in 1.7 populations, including 18 loci detected in two or more populations. Putative genetic networks (multi-locus structures) underlying CT were constructed based on strong non-random associations between or among donor alleles at the unlinked CT loci/FGUs identified in the CT ILs, suggesting the presence of strong epistasis among the detected CT loci. Our results demonstrated the power and usefulness of using selective introgression for simultaneous improvement and genetic dissection of complex traits such as CT in rice.

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