文献类型： 外文期刊
作者： Zhang, Guomin 1 ; Wang, Rongsheng 1 ; Ma, Juntao 1 ; Gao, Hongru 1 ; Deng, Lingwei 1 ; Wang, Nanbo 1 ; Wang, Yongli 1 ; Z 1 ;
作者机构： 1.Heilongjiang Acad Agr Sci, Biotechnol Res Inst, Harbin, Peoples R China
2.Chinese Acad Sci, Northern Japon Rice Mol Breeding Joint Res Ctr, Harbin, Peoples R China
关键词： Oryza sativa japonica; GWAS; Yield trait; Resequencing; Rice breeding
期刊名称：BMC GENOMIC DATA
ISSN：
年卷期： 2021 年 22 卷 1 期
页码：
收录情况： SCI
摘要： Background Heilongjiang Province is a high-quality japonica rice cultivation area in China. One in ten bowls of Chinese rice is produced here. Increasing yield is one of the main aims of rice production in this area. However, yield is a complex quantitative trait composed of many factors. The purpose of this study was to determine how many genetic loci are associated with yield-related traits. Genome-wide association studies (GWAS) were performed on 450 accessions collected from northeast Asia, including Russia, Korea, Japan and Heilongjiang Province of China. These accessions consist of elite varieties and landraces introduced into Heilongjiang Province decade ago. Results After resequencing of the 450 accessions, 189,019 single nucleotide polymorphisms (SNPs) were used for association studies by two different models, a general linear model (GLM) and a mixed linear model (MLM), examining four traits: days to heading (DH), plant height (PH), panicle weight (PW) and tiller number (TI). Over 25 SNPs were found to be associated with each trait. Among them, 22 SNPs were selected to identify candidate genes, and 2, 8, 1 and 11 SNPs were found to be located in 3 ' UTR region, intron region, coding region and intergenic region, respectively. Conclusions All SNPs detected in this research may become candidates for further fine mapping and may be used in the molecular breeding of high-latitude rice.
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