Genetic Diversity and Association Analysis of Lint Percentage Variation Population in Gossypium Hirsutum L. Based on Microsatellite Markers

ABSTRACT

The most important goal in cotton breeding is to increase the fiber yield which can be increased by improving a key trait, lint percentage (LP). However, narrow genetic background of upland cotton resulting in stagnant yield. In order to effectively dissect the genetic mechanism and enrich the gene loci of LP in cotton, the genetic diversity and population structure and a genome-wide association study (GWAS) was conducted using 204 upland cotton accessions based on 191 pairs of polymorphic microsatellite markers. The results were as follows: (1) The agronomic traits of the materials especially LP varied widely. (2) The SSRs revealed relatively high degree level of genetic diversity at DNA level. (3) Similarity coefficient cluster analysis of SSR markers indicated the influence of male parent on female parents was different after cross, the variation sites of agronomic traits could be further excavate in F₁. (4) The GWAS revealed that 3 SSR markers were associated with LP: BNL3649-2, GH0132-2, CIR0246-3. There were two genes, Gh_D02G0125 and Gh_D11G2610, near the three SSR loci. These results provided a theoretical basis for improving fiber yield.

摘要

棉花育种最重要的目标是提高纤维产量，而提高纤维产量可以通过改良一个关键性状衣分（LP）来实现. 但由于陆地棉遗传背景狭窄，导致产量停滞不前. 为了有效地剖析棉花LP的遗传机制，丰富棉花LP的基因位点，利用204份陆地棉种质，利用191对多态性微卫星标记，对棉花LP的遗传多样性、群体结构和全基因组关联进行了研究. 主要研究结果如下:;（1）材料的农艺性状，尤其是LP差异较大. （2） SSRs在DNA水平上表现出较高的遗传多样性水平. （3） SSR标记的相似系数聚类分析表明，杂交后父本对母本的影响不同，农艺性状的变异位点可在F1中进一步挖掘. （4） GWAS分析表明，有3个SSR标记与LP相关:;BNL3649-2、GH0132-2、CIR0246-3. 在三个SSR位点附近有两个基因ghu D02G0125和ghu D11G2610. 这些结果为提高纤维得率提供了理论依据.

KEYWORDS:

• Lint percentage
• microsatellite markers
• upland cotton
• genetic diversity
• association mapping
• fiber yield

关键词:;:

• 衣分
• 微卫星标记
• 陆地棉
• 遗传多样性
• 关联分析
• 纤维产量

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Correction Statement

This article has been republished with minor changes. These changes do not impact the academic content of the article.

Additional information

Funding

This work was supported by funding from the National Key Research and Development Program of China [2017YFD0101600], Agricultural Science and Technology Innovation Program of Chinese Academy of Agricultural Sciences. National Key Research and Development Program of China[2018YFD0100301], Shan Xi Province Applied Basic Reseatch Project[201801D121237].