Genetic diversity analysis and GWAS reveal the adaptive loci of milling and appearance quality of japonica rice (Oryza sativa L.) in Northeast China |
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| Authors: | XU Xin YE Jun-hua YANG Ying-ying LI Ruo-si LI Zhen WANG Shan SUN Yan-fei ZHANG Meng-chen XU Qun FENG Yue WEI Xing-hua YANG Yao-long |
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| Affiliation: | State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, P.R.China |
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| Abstract: | Milling and appearance quality are important contributors to rice grain quality. Abundant genetic diversity and a suitable environment are crucial for rice improvement. In this study, we investigated the milling and appearance quality-related traits in a panel of 200 japonica rice cultivars selected from Liaoning, Jilin and Heilongjiang provinces in Northeast China. Pedigree assessment and genetic diversity analysis indicated that cultivars from Jilin harbored the highest genetic diversity among the three geographic regions. An evaluation of grain quality indicated that cultivars from Liaoning showed superior milling quality, whereas cultivars from Heilongjiang tended to exhibit superior appearance quality. Single- and multi-locus genome-wide association studies (GWAS) were conducted to identify loci associated with milling and appearance quality-related traits. Ninety-nine significant single-nucleotide polymorphisms (SNPs) were detected. Three common SNPs were detected using the mixed linear model (MLM), mrMLM, and FASTmrMLM methods. Linkage disequilibrium decay was estimated and indicated three candidate regions (qBRR-1, qBRR-9 and qDEC-3) for further candidate gene analysis. More than 300 genes were located in these candidate regions. Gene Ontology (GO) analysis was performed to discover the potential candidate genes. Genetic diversity analysis of the candidate regions revealed that qBRR-9 may have been subject to strong selection during breeding. These results provide information that will be valuable for the improvement of grain quality in rice breeding. |
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| Keywords: | rice grain quality GWAS genetic diversity |
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