Genomic interrogation of a MAGIC population highlights genetic factors controlling fiber quality traits in cotton

Wang and colleagues use a complementary GWAS approach to identify genetic loci associated with cotton fiber quality. Using a multiparent advanced-generation inter-cross population, 26 new QTLs related to cotton fiber quality were found.

Bibliographic Details
Main Authors: Maojun Wang, Zhengyang Qi, Gregory N. Thyssen, Marina Naoumkina, Johnie N. Jenkins, Jack C. McCarty, Yingjie Xiao, Jianying Li, Xianlong Zhang, David D. Fang
Format: Article
Language:English
Published: Nature Portfolio 2022-01-01
Series:Communications Biology
Online Access:https://doi.org/10.1038/s42003-022-03022-7
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author Maojun Wang
Zhengyang Qi
Gregory N. Thyssen
Marina Naoumkina
Johnie N. Jenkins
Jack C. McCarty
Yingjie Xiao
Jianying Li
Xianlong Zhang
David D. Fang
author_facet Maojun Wang
Zhengyang Qi
Gregory N. Thyssen
Marina Naoumkina
Johnie N. Jenkins
Jack C. McCarty
Yingjie Xiao
Jianying Li
Xianlong Zhang
David D. Fang
author_sort Maojun Wang
collection DOAJ
description Wang and colleagues use a complementary GWAS approach to identify genetic loci associated with cotton fiber quality. Using a multiparent advanced-generation inter-cross population, 26 new QTLs related to cotton fiber quality were found.
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spelling doaj.art-22361d6d32c24199ac0d9e327a7f13062022-12-22T04:15:27ZengNature PortfolioCommunications Biology2399-36422022-01-015111210.1038/s42003-022-03022-7Genomic interrogation of a MAGIC population highlights genetic factors controlling fiber quality traits in cottonMaojun Wang0Zhengyang Qi1Gregory N. Thyssen2Marina Naoumkina3Johnie N. Jenkins4Jack C. McCarty5Yingjie Xiao6Jianying Li7Xianlong Zhang8David D. Fang9Cotton Fiber Bioscience Research Unit, USDA-ARS, Southern Regional Research CenterNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural UniversityCotton Fiber Bioscience Research Unit, USDA-ARS, Southern Regional Research CenterCotton Fiber Bioscience Research Unit, USDA-ARS, Southern Regional Research CenterGenetics & Sustainable Agriculture Research Unit, USDA-ARSGenetics & Sustainable Agriculture Research Unit, USDA-ARSNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural UniversityNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural UniversityNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural UniversityCotton Fiber Bioscience Research Unit, USDA-ARS, Southern Regional Research CenterWang and colleagues use a complementary GWAS approach to identify genetic loci associated with cotton fiber quality. Using a multiparent advanced-generation inter-cross population, 26 new QTLs related to cotton fiber quality were found.https://doi.org/10.1038/s42003-022-03022-7
spellingShingle Maojun Wang
Zhengyang Qi
Gregory N. Thyssen
Marina Naoumkina
Johnie N. Jenkins
Jack C. McCarty
Yingjie Xiao
Jianying Li
Xianlong Zhang
David D. Fang
Genomic interrogation of a MAGIC population highlights genetic factors controlling fiber quality traits in cotton
Communications Biology
title Genomic interrogation of a MAGIC population highlights genetic factors controlling fiber quality traits in cotton
title_full Genomic interrogation of a MAGIC population highlights genetic factors controlling fiber quality traits in cotton
title_fullStr Genomic interrogation of a MAGIC population highlights genetic factors controlling fiber quality traits in cotton
title_full_unstemmed Genomic interrogation of a MAGIC population highlights genetic factors controlling fiber quality traits in cotton
title_short Genomic interrogation of a MAGIC population highlights genetic factors controlling fiber quality traits in cotton
title_sort genomic interrogation of a magic population highlights genetic factors controlling fiber quality traits in cotton
url https://doi.org/10.1038/s42003-022-03022-7
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