Back to Search Start Over

A high density SLAF-seq SNP genetic map and QTL for seed size, oil and protein content in upland cotton

Authors :
Wenwen Wang
Ying Sun
Peng Yang
Xiaoyan Cai
Le Yang
Junrui Ma
Yuncan Ou
Tianpeng Liu
Iftikhar Ali
Dajun Liu
Jian Zhang
Zhonghua Teng
Kai Guo
Dexin Liu
Fang Liu
Zhengsheng Zhang
Source :
BMC Genomics, Vol 20, Iss 1, Pp 1-11 (2019)
Publication Year :
2019
Publisher :
BMC, 2019.

Abstract

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.

Details

Language :
English
ISSN :
14712164
Volume :
20
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Genomics
Publication Type :
Academic Journal
Accession number :
edsdoj.b40519761ec94fa793f3f60d56f7a182
Document Type :
article
Full Text :
https://doi.org/10.1186/s12864-019-5819-6