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Front. Plant Sci. | doi: 10.3389/fpls.2018.00225

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

 Zhaoyun Tan1, Zhiqing Zhang1, Xujing Sun1, Qianqian Li1, Ying Sun1, Peng Yang1, Wenwen Wang1, Xueying Liu1, Chunling Chen1,  Dexin Liu1, zhonghua Teng1, Jian Zhang1,  Kai Guo1, Dajun Liu1 and  Zhengsheng Zhang1*
  • 1College of Agronomy and Biotechnology, Southwest University, China

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 9 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).

Keywords: Upland cotton, CottonSNP80K assay, Genetic map, Fiber quality traits, QTL

Received: 13 Dec 2017; Accepted: 06 Feb 2018.

Edited by:

Jorge Almiro P. Paiva, Institute of Plant Genetics (PAN), Poland

Reviewed by:

Hongjun Liu, Shandong Agricultural University, China
Rita L. Costa, Instituto Nacional de Investigação Agrária e Veterinária, Portugal  

Copyright: © 2018 Tan, Zhang, Sun, Li, Sun, Yang, Wang, Liu, Chen, Liu, Teng, Zhang, Guo, Liu and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Prof. Zhengsheng Zhang, Southwest University, College of Agronomy and Biotechnology, Chongqing, China,