Genetic Analysis and QTL Detection on Fiber Traits Using Two Recombinant Inbred Lines and Their Backcross Populations in Upland Cotton

Cotton fiber, a raw natural fiber material, is widely used in the textile industry. Understanding the genetic mechanism of fiber traits is helpful for fiber quality improvement. In the present study, the genetic basis of fiber quality traits was explored using two recombinant inbred lines (RILs) and...

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Main Authors: Lianguang Shang, Yumei Wang, Xiaocui Wang, Fang Liu, Abdugheni Abduweli, Shihu Cai, Yuhua Li, Lingling Ma, Kunbo Wang, Jinping Hua
Format: Article
Language:English
Published: Oxford University Press 2016-09-01
Series:G3: Genes, Genomes, Genetics
Subjects:
Online Access:http://g3journal.org/lookup/doi/10.1534/g3.116.031302
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author Lianguang Shang
Yumei Wang
Xiaocui Wang
Fang Liu
Abdugheni Abduweli
Shihu Cai
Yuhua Li
Lingling Ma
Kunbo Wang
Jinping Hua
author_facet Lianguang Shang
Yumei Wang
Xiaocui Wang
Fang Liu
Abdugheni Abduweli
Shihu Cai
Yuhua Li
Lingling Ma
Kunbo Wang
Jinping Hua
author_sort Lianguang Shang
collection DOAJ
description Cotton fiber, a raw natural fiber material, is widely used in the textile industry. Understanding the genetic mechanism of fiber traits is helpful for fiber quality improvement. In the present study, the genetic basis of fiber quality traits was explored using two recombinant inbred lines (RILs) and corresponding backcross (BC) populations under multiple environments in Upland cotton based on marker analysis. In backcross populations, no significant correlation was observed between marker heterozygosity and fiber quality performance and it suggested that heterozygosity was not always necessarily advantageous for the high fiber quality. In two hybrids, 111 quantitative trait loci (QTL) for fiber quality were detected using composite interval mapping, in which 62 new stable QTL were simultaneously identified in more than one environment or population. QTL detected at the single-locus level mainly showed additive effect. In addition, a total of 286 digenic interactions (E-QTL) and their environmental interactions [QTL × environment interactions (QEs)] were detected for fiber quality traits by inclusive composite interval mapping. QE effects should be considered in molecular marker-assisted selection breeding. On average, the E-QTL explained a larger proportion of the phenotypic variation than the main-effect QTL did. It is concluded that the additive effect of single-locus and epistasis with few detectable main effects play an important role in controlling fiber quality traits in Upland cotton.
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spelling doaj.art-c4ce88ac8b9849dd98553ec9364d55142022-12-21T21:59:38ZengOxford University PressG3: Genes, Genomes, Genetics2160-18362016-09-01692717272410.1534/g3.116.0313025Genetic Analysis and QTL Detection on Fiber Traits Using Two Recombinant Inbred Lines and Their Backcross Populations in Upland CottonLianguang ShangYumei WangXiaocui WangFang LiuAbdugheni AbduweliShihu CaiYuhua LiLingling MaKunbo WangJinping HuaCotton fiber, a raw natural fiber material, is widely used in the textile industry. Understanding the genetic mechanism of fiber traits is helpful for fiber quality improvement. In the present study, the genetic basis of fiber quality traits was explored using two recombinant inbred lines (RILs) and corresponding backcross (BC) populations under multiple environments in Upland cotton based on marker analysis. In backcross populations, no significant correlation was observed between marker heterozygosity and fiber quality performance and it suggested that heterozygosity was not always necessarily advantageous for the high fiber quality. In two hybrids, 111 quantitative trait loci (QTL) for fiber quality were detected using composite interval mapping, in which 62 new stable QTL were simultaneously identified in more than one environment or population. QTL detected at the single-locus level mainly showed additive effect. In addition, a total of 286 digenic interactions (E-QTL) and their environmental interactions [QTL × environment interactions (QEs)] were detected for fiber quality traits by inclusive composite interval mapping. QE effects should be considered in molecular marker-assisted selection breeding. On average, the E-QTL explained a larger proportion of the phenotypic variation than the main-effect QTL did. It is concluded that the additive effect of single-locus and epistasis with few detectable main effects play an important role in controlling fiber quality traits in Upland cotton.http://g3journal.org/lookup/doi/10.1534/g3.116.031302fiber qualityQTLrecombinant inbred linebackcross populationUpland cotton
spellingShingle Lianguang Shang
Yumei Wang
Xiaocui Wang
Fang Liu
Abdugheni Abduweli
Shihu Cai
Yuhua Li
Lingling Ma
Kunbo Wang
Jinping Hua
Genetic Analysis and QTL Detection on Fiber Traits Using Two Recombinant Inbred Lines and Their Backcross Populations in Upland Cotton
G3: Genes, Genomes, Genetics
fiber quality
QTL
recombinant inbred line
backcross population
Upland cotton
title Genetic Analysis and QTL Detection on Fiber Traits Using Two Recombinant Inbred Lines and Their Backcross Populations in Upland Cotton
title_full Genetic Analysis and QTL Detection on Fiber Traits Using Two Recombinant Inbred Lines and Their Backcross Populations in Upland Cotton
title_fullStr Genetic Analysis and QTL Detection on Fiber Traits Using Two Recombinant Inbred Lines and Their Backcross Populations in Upland Cotton
title_full_unstemmed Genetic Analysis and QTL Detection on Fiber Traits Using Two Recombinant Inbred Lines and Their Backcross Populations in Upland Cotton
title_short Genetic Analysis and QTL Detection on Fiber Traits Using Two Recombinant Inbred Lines and Their Backcross Populations in Upland Cotton
title_sort genetic analysis and qtl detection on fiber traits using two recombinant inbred lines and their backcross populations in upland cotton
topic fiber quality
QTL
recombinant inbred line
backcross population
Upland cotton
url http://g3journal.org/lookup/doi/10.1534/g3.116.031302
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