Genetic Diversity, Population Structure, and Genome-Wide Association Study of Seven Agronomic Traits in 273 Diverse Upload Cotton Accessions

文献类型： 外文期刊

第一作者： Liang, Yajun

作者： Liang, Yajun;Zheng, Juyun;Wang, Junduo;Gong, Zhaolong;Li, Xueyuan;Chen, Quanjia;Liang, Yajun;Zhang, Zeliang;Sang, Zhiwei;Qu, Yanying;Chen, Quanjia;Li, Zhiqiang;Min, Ling

作者机构：

关键词： Upland cotton; agronomic trait; genetic diversity; population structure; genome-wide association study

期刊名称：PHYTON-INTERNATIONAL JOURNAL OF EXPERIMENTAL BOTANY （ 影响因子：1.7； 五年影响因子：1.4 ）

ISSN： 0031-9457

年卷期： 2023 年 92 卷 12 期

页码：

收录情况： SCI

摘要： Upland cotton (Gossypium hirsutum) is the most important plant producing natural fibers for the textile industry. In this study, we first investigated the phenotypic variation of seven agronomic traits of 273 diverse cotton accessions in the years 2017 and 2018, which were from 18 geographical regions. We found large variations among the traits in different geographical regions and only half of the traits in either years 2017 or 2018 followed a normal distribution. We then genotyped the collection with 81,612 high quality SNPs. Phylogenetic tree and population structure revealed a diverse genetic structure of the core collection, and geographical diversification was an important factor, but account for part of the variances of genetic diversification. We then performed genome-wide association study for the seven traits in the years 2017 and 2018, and the average values of each trait in the two years, respectively. We identified a total of 19 significant marker-trait associations and found that Pollen Ole e 1 allergen/extension could be the candidate gene associated with the fall-off cotton bolls from the last three branches. In addition, large variations were observed for the heritability of traits in the years 2017 and 2018. These results provide new potential candidate genes for further functional validation, which could be useful for genetic improvement and breeding of new cotton cultivars with better agronomic performances.

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