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通过全基因组关联研究(GWAS)鉴定陆地棉种子活力相关性状的新候选基因座和基因

Identification of novel candidate loci and genes for seed vigor-related traits in upland cotton ( L.) via GWAS.

作者信息

Li Libei, Hu Yu, Wang Yongbo, Zhao Shuqi, You Yijin, Liu Ruijie, Wang Jiayi, Yan Mengyuan, Zhao Fengli, Huang Juan, Yu Shuxun, Feng Zhen

机构信息

The Key Laboratory for Quality Improvement of Agricultural Products of Zhejiang Province, College of Advanced Agricultural Sciences, Zhejiang A&F University, Lin'an, Hangzhou, China.

Cotton Sciences Research Institute of Hunan, Changde, Hunan, China.

出版信息

Front Plant Sci. 2023 Sep 1;14:1254365. doi: 10.3389/fpls.2023.1254365. eCollection 2023.

DOI:10.3389/fpls.2023.1254365
PMID:37719213
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10503134/
Abstract

Seed vigor (SV) is a crucial trait determining the quality of crop seeds. Currently, over 80% of China's cotton-planting area is in Xinjiang Province, where a fully mechanized planting model is adopted, accounting for more than 90% of the total fiber production. Therefore, identifying SV-related loci and genes is crucial for improving cotton yield in Xinjiang. In this study, three seed vigor-related traits, including germination potential, germination rate, and germination index, were investigated across three environments in a panel of 355 diverse accessions based on 2,261,854 high-quality single-nucleotide polymorphisms (SNPs). A total of 26 significant SNPs were detected and divided into six quantitative trait locus regions, including 121 predicted candidate genes. By combining gene expression, gene annotation, and haplotype analysis, two novel candidate genes ( and ) within and were associated with vigor-related traits, and was found to be involved in artificial selection during cotton breeding by population genetic analysis. Thus, understanding the genetic mechanisms underlying seed vigor-related traits in cotton could help increase the efficiency of direct seeding by molecular marker-assisted selection breeding.

摘要

种子活力(SV)是决定作物种子质量的关键性状。目前,中国80%以上的棉花种植面积在新疆,该地区采用全机械化种植模式,棉花纤维总产量占全国90%以上。因此,鉴定与种子活力相关的位点和基因对于提高新疆棉花产量至关重要。本研究基于2261854个高质量单核苷酸多态性(SNP),在355份不同种质材料组成的群体中,于三个环境下对包括发芽势、发芽率和发芽指数在内的三个与种子活力相关的性状进行了调查。共检测到26个显著的SNP,并将其划分为6个数量性状位点区域,其中包括121个预测的候选基因。通过整合基因表达、基因注释和单倍型分析,在特定区域内发现了两个与活力相关性状关联的新候选基因(和),并且通过群体遗传分析发现该基因参与了棉花育种过程中的人工选择。因此,了解棉花种子活力相关性状的遗传机制有助于通过分子标记辅助选择育种提高棉花直播效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1aa/10503134/964fb14ff560/fpls-14-1254365-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1aa/10503134/ed580118bd58/fpls-14-1254365-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1aa/10503134/97d7065a4e7a/fpls-14-1254365-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1aa/10503134/ddbfad38c313/fpls-14-1254365-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1aa/10503134/72483784d053/fpls-14-1254365-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1aa/10503134/964fb14ff560/fpls-14-1254365-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1aa/10503134/ed580118bd58/fpls-14-1254365-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1aa/10503134/97d7065a4e7a/fpls-14-1254365-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1aa/10503134/ddbfad38c313/fpls-14-1254365-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1aa/10503134/72483784d053/fpls-14-1254365-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1aa/10503134/964fb14ff560/fpls-14-1254365-g005.jpg

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