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棉花学报 ›› 2020, Vol. 32 ›› Issue (2): 91-101.doi: 10.11963/1002-7807.mqlh.20200303

• 研究与进展 •    下一篇

基于表型和SSR标记筛选海岛棉优异种质资源

马麒(),宁新柱,李吉莲,陈红,余渝,林海()   

  1. 新疆农垦科学院棉花研究所/农业农村部西北内陆区棉花生物学与遗传育种重点实验室/新疆兵团棉花改良与高产栽培重点实验室,新疆 石河子832000
  • 收稿日期:2019-09-09 出版日期:2020-03-15 发布日期:2020-04-14
  • 通讯作者: 林海 E-mail:xjnkymaqi1123@163.com;xjlinh@126.com
  • 作者简介:马麒(1990―),男, xjnkymaqi1123@163.com
  • 基金资助:
    国家重点研发计划——西北内陆优质机采棉新品种培育(2017YFD0101601);国家重点研发计划——西北内陆优质机采棉新品种培育(2017YFD0101603);新疆生产建设兵团育种专项——新品种选育与种质资源创新(2016AC027)

Mining Elite Sea-Island Cotton Germplasm Based on Phenotyping and SSR Markers

Ma Qi(),Ning Xinzhu,Li Jilian,Chen Hong,Yu Yu,Lin Hai()   

  1. Cotton Research Institute, Xinjiang Academy of Agricultural and Reclamation Science/Northwest Inland Region Key Laboratory of Cotton Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs/ Key Laboratory of Cotton Genetic Improvement and High Yield Cultivation in Xinjiang Production and Construction Corps, Shihezi, Xinjiang 832000, China
  • Received:2019-09-09 Online:2020-03-15 Published:2020-04-14
  • Contact: Lin Hai E-mail:xjnkymaqi1123@163.com;xjlinh@126.com

摘要:

【目的】筛选海岛棉某一性状特别突出的优异种质资源,加快其新品种的选育进程。【方法】本研究以178份海岛棉核心种质资源为试验材料,通过调查和测定铃重、单株铃数、衣分、纤维长度、纤维比强度和马克隆值6个性状的表型数据,开展变异度和遗传多样性分析。每个性状表型值按10%最优取样策略,初步筛选海岛棉优异种质资源;同时利用120对simple sequence repeat (SSR)引物对178份海岛棉核心种质进行多态性分析,并开展群体结构分析及基因型聚类分析,依据聚类结果对初选海岛棉优异种质进一步筛选,鉴定出最终的海岛棉优异种质资源。【结果】海岛棉核心种质资源中上述6个性状的变异度和遗传多样性较丰富。120对SSR 引物在178份海岛棉种质中共检测出262个等位变异位点,平均值为2.18;多态信息含量(Polymorphism information content, PIC)为0.067 8~0.630 0,平均为0.296 0,属于中度多态。聚类分析将178份海岛棉核心种质划分为2大类群。基于表型值和SSR标记的聚类分析结果,最终筛选出23份单一性状特别突出的海岛棉优异种质资源。【结论】基于表型和SSR标记能较好地分析与评价海岛棉种质资源、发掘海岛棉优异种质资源,为海岛棉遗传育种提供材料基础,同时也为作物优异种质资源的筛选与鉴定提供重要参考和依据。

关键词: 海岛棉; 表型; SSR标记; 优异种质

Abstract:

[Objective] An elite germplasm resource of sea-island cotton with outstanding traits was mined in order to accelerate the breeding process of new varieties. [Method] The core collections of sea-island cotton germplasm consisted of 178 accessions were used as experimental materials in this study. Analyses of variability and diversity were performed through detecting phenotypic data of six main breeding-targeted traits, including boll weight, boll number per plant, lint percentage, fiber length, fiber strength, and micronaire. The elite germplasm of sea-island cotton was selected according to 10% optimal sampling strategy based on the phenotypic value of each trait. The 120 pairs of polymorphic simple sequence repeat (SSR) primers were used to analyze the polymorphism of 178 accessions of the core collections. Then, we conducted the population structure and clustering analysis based on the genotyping results. According to the results of cluster analysis, the primary elite germplasm was further selected, and the final elite germplasm of sea-island cotton was identified. [Result] The results showed that there was a high variability and abundant genetic diversity in the 6 studied traits. In 178 accessions of sea-island cotton, 262 alleles were detected by 120 pairs of SSR primers, with an average of 2.18 loci. The average polymorphism information content (PIC) was 0.067 8-0.630 0, with an average of 0.296 0, showing moderate polymorphism. The cluster analysis showed that the core collection of sea-island cotton was divided into six groups. twenty-three elite germplasm resources of sea-island cotton were identified based on phenotypic value and cluster analysis of SSR markers. [Conclusion] The germplasm of sea-island cotton can be analyzed and evaluated based on the phenotyping and SSR markers, and then the elite germplasm of sea-island cotton can be identified. These results provided the material basis for the genetic breeding of sea-island cotton, as well as the important reference and basis for the mining and identification of crop elite germplasm.

Key words: sea-island cotton; phenotype; SSR markers; elite germplasm