Статья

Genetic Map Construction and Fiber Quality QTL Mapping Using the CottonSNP80K Array in Upland Cotton

Zhaoyun TanCollege of Agronomy and Biotechnology, Southwest University, Chongqing, ChinaZhiqin ZhangCollege of Agronomy and Biotechnology, Southwest University, Chongqing, ChinaXujing SunCollege of Agronomy and Biotechnology, Southwest University, Chongqing, ChinaQianqian LiCollege of Agronomy and Biotechnology, Southwest University, Chongqing, ChinaYing SunCollege of Agronomy and Biotechnology, Southwest University, Chongqing, ChinaPeng YangCollege of Agronomy and Biotechnology, Southwest University, Chongqing, ChinaWenwen WangCollege of Agronomy and Biotechnology, Southwest University, Chongqing, ChinaXueying LiuCollege of Agronomy and Biotechnology, Southwest University, Chongqing, ChinaChunling ChenCollege of Agronomy and Biotechnology, Southwest University, Chongqing, ChinaDexing LiuCollege of Agronomy and Biotechnology, Southwest University, Chongqing, ChinaZhonghua TengCollege of Agronomy and Biotechnology, Southwest University, Chongqing, ChinaKai GuoCollege of Agronomy and Biotechnology, Southwest University, Chongqing, ChinaJian ZhangCollege of Agronomy and Biotechnology, Southwest University, Chongqing, ChinaDajun LiuCollege of Agronomy and Biotechnology, Southwest University, Chongqing, ChinaZhengsheng ZhangCollege of Agronomy and Biotechnology, Southwest University, Chongqing, China

2018en

ABI

Аннотация

Cotton fiber quality traits are controlled by multiple quantitative trait loci (QTL), and the improvement of these traits requires extensive germplasm. Herein, an Upland cotton cultivar from America, Acala Maxxa, was crossed with a local high fiber quality cultivar, Yumian 1, and 180 recombinant inbred lines (RILs) were obtained. In order to dissect the genetic basis of fiber quality differences between these parents, a genetic map containing 12116 SNP markers was constructed using the CottonSNP80K assay, which covered 3741.81 cM with an average distance of 0.31 cM between markers. Based on the genetic map and growouts in three environments, we detected a total of 104 QTL controlling fiber quality traits. Among these QTL, 25 were detected in all three environments and 35 in two environments. Meanwhile, 19 QTL clusters were also identified, and nine contained at least one stable QTL (detected in three environments for a given trait). These stable QTL or QTL clusters are priorities for fine mapping, identifying candidate genes, elaborating molecular mechanisms of fiber development, and application in cotton breeding programs by marker-assisted selection (MAS).

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Идентификаторы

DOI: 10.3389/fpls.2018.00225

Цитирования и источники

Цитирований: 2Использованных источников: 0

Показатели — AkademScholar