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A high density SLAF-seq SNP genetic map and QTL for seed size, oil and protein content in upland cotton.
Wang, Wenwen; Sun, Ying; Yang, Peng; Cai, Xiaoyan; Yang, Le; Ma, Junrui; Ou, Yuncan; Liu, Tianpeng; Ali, Iftikhar; Liu, Dajun; Zhang, Jian; Teng, Zhonghua; Guo, Kai; Liu, Dexin; Liu, Fang; Zhang, Zhengsheng.
Afiliação
  • Wang W; College of Agronomy and Biotechnology, Southwest University, Chongqing, 400716, China.
  • Sun Y; College of Agronomy and Biotechnology, Southwest University, Chongqing, 400716, China.
  • Yang P; College of Agronomy and Biotechnology, Southwest University, Chongqing, 400716, China.
  • Cai X; State Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China.
  • Yang L; College of Agronomy and Biotechnology, Southwest University, Chongqing, 400716, China.
  • Ma J; College of Agronomy and Biotechnology, Southwest University, Chongqing, 400716, China.
  • Ou Y; College of Agronomy and Biotechnology, Southwest University, Chongqing, 400716, China.
  • Liu T; College of Agronomy and Biotechnology, Southwest University, Chongqing, 400716, China.
  • Ali I; College of Agronomy and Biotechnology, Southwest University, Chongqing, 400716, China.
  • Liu D; College of Agronomy and Biotechnology, Southwest University, Chongqing, 400716, China.
  • Zhang J; College of Agronomy and Biotechnology, Southwest University, Chongqing, 400716, China.
  • Teng Z; College of Agronomy and Biotechnology, Southwest University, Chongqing, 400716, China.
  • Guo K; College of Agronomy and Biotechnology, Southwest University, Chongqing, 400716, China.
  • Liu D; College of Agronomy and Biotechnology, Southwest University, Chongqing, 400716, China.
  • Liu F; State Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China. liufcri@163.com.
  • Zhang Z; College of Agronomy and Biotechnology, Southwest University, Chongqing, 400716, China. zhangzs@swu.edu.cn.
BMC Genomics ; 20(1): 599, 2019 Jul 22.
Article em En | MEDLINE | ID: mdl-31331266
ABSTRACT

BACKGROUND:

Cotton is a leading natural fiber crop. Beyond its fiber, cottonseed is a valuable source of plant protein and oil. Due to the much higher value of cotton fiber, there is less consideration of cottonseed quality despite its potential value. Though some QTL controlling cottonseed quality have been identified, few of them that warrant further study are known. Identifying stable QTL controlling seed size, oil and protein content is necessary for improvement of cottonseed quality.

RESULTS:

In this study, a recombinant inbred line (RIL) population was developed from a cross between upland cotton cultivars/lines Yumian 1 and M11. Specific locus amplified fragment sequencing (SLAF-seq) technology was used to construct a genetic map that covered 3353.15 cM with an average distance between consecutive markers of 0.48 cM. The seed index, together with kernel size, oil and protein content were further used to identify QTL. In total, 58 QTL associated with six traits were detected, including 13 stable QTL detected in all three environments and 11 in two environments.

CONCLUSION:

A high resolution genetic map including 7033 SNP loci was constructed through specific locus amplified fragment sequencing technology. A total of 13 stable QTL associated with six cottonseed quality traits were detected. These stable QTL have the potential for fine mapping, identifying candidate genes, elaborating molecular mechanisms of cottonseed development, and application in cotton breeding programs.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteínas de Plantas / Sementes / Óleos de Plantas / Mapeamento Cromossômico / Gossypium / Polimorfismo de Nucleotídeo Único / Locos de Características Quantitativas Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteínas de Plantas / Sementes / Óleos de Plantas / Mapeamento Cromossômico / Gossypium / Polimorfismo de Nucleotídeo Único / Locos de Características Quantitativas Idioma: En Ano de publicação: 2019 Tipo de documento: Article