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Detection of epistasis interaction loci for fiber quality-related trait via 3VmrMLM in upland cotton

Cotton fiber quality-related traits, such as fiber length, fiber strength, and fiber elongation, are affected by complex mechanisms controlled by multiple genes. Determining the QTN-by-QTN interactions (QQIs) associated with fiber quality-related traits is therefore essential for accelerating the ge...

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Autores principales: Han, Zhimin, Ke, Huifeng, Li, Xiaoyu, Peng, Ruoxuan, Zhai, Dongdong, Xu, Yang, Wu, Liqiang, Wang, Wensheng, Cui, Yanru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10568130/
https://www.ncbi.nlm.nih.gov/pubmed/37841603
http://dx.doi.org/10.3389/fpls.2023.1250161
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author Han, Zhimin
Ke, Huifeng
Li, Xiaoyu
Peng, Ruoxuan
Zhai, Dongdong
Xu, Yang
Wu, Liqiang
Wang, Wensheng
Cui, Yanru
author_facet Han, Zhimin
Ke, Huifeng
Li, Xiaoyu
Peng, Ruoxuan
Zhai, Dongdong
Xu, Yang
Wu, Liqiang
Wang, Wensheng
Cui, Yanru
author_sort Han, Zhimin
collection PubMed
description Cotton fiber quality-related traits, such as fiber length, fiber strength, and fiber elongation, are affected by complex mechanisms controlled by multiple genes. Determining the QTN-by-QTN interactions (QQIs) associated with fiber quality-related traits is therefore essential for accelerating the genetic enhancement of cotton breeding. In this study, a natural population of 1,245 upland cotton varieties with 1,122,352 SNPs was used for detecting the main-effect QTNs and QQIs using the 3V multi-locus random-SNP-effect mixed linear model (3VmrMLM) method. A total of 171 significant main-effect QTNs and 42 QQIs were detected, of which 22 were both main-effect QTNs and QQIs. Of the detected 42 QQIs, a total of 13 significant loci and 5 candidate genes were reported in previous studies. Among the three interaction types, the AD interaction type has a preference for the trait of FE. Additionally, the QQIs have a substantial impact on the enhancement predictability for fiber quality-related traits. The study of QQIs is crucial for elucidating the genetic mechanism of cotton fiber quality and enhancing breeding efficiency.
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spelling pubmed-105681302023-10-13 Detection of epistasis interaction loci for fiber quality-related trait via 3VmrMLM in upland cotton Han, Zhimin Ke, Huifeng Li, Xiaoyu Peng, Ruoxuan Zhai, Dongdong Xu, Yang Wu, Liqiang Wang, Wensheng Cui, Yanru Front Plant Sci Plant Science Cotton fiber quality-related traits, such as fiber length, fiber strength, and fiber elongation, are affected by complex mechanisms controlled by multiple genes. Determining the QTN-by-QTN interactions (QQIs) associated with fiber quality-related traits is therefore essential for accelerating the genetic enhancement of cotton breeding. In this study, a natural population of 1,245 upland cotton varieties with 1,122,352 SNPs was used for detecting the main-effect QTNs and QQIs using the 3V multi-locus random-SNP-effect mixed linear model (3VmrMLM) method. A total of 171 significant main-effect QTNs and 42 QQIs were detected, of which 22 were both main-effect QTNs and QQIs. Of the detected 42 QQIs, a total of 13 significant loci and 5 candidate genes were reported in previous studies. Among the three interaction types, the AD interaction type has a preference for the trait of FE. Additionally, the QQIs have a substantial impact on the enhancement predictability for fiber quality-related traits. The study of QQIs is crucial for elucidating the genetic mechanism of cotton fiber quality and enhancing breeding efficiency. Frontiers Media S.A. 2023-09-28 /pmc/articles/PMC10568130/ /pubmed/37841603 http://dx.doi.org/10.3389/fpls.2023.1250161 Text en Copyright © 2023 Han, Ke, Li, Peng, Zhai, Xu, Wu, Wang and Cui https://creativecommons.org/licenses/by/4.0/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(s) 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.
spellingShingle Plant Science
Han, Zhimin
Ke, Huifeng
Li, Xiaoyu
Peng, Ruoxuan
Zhai, Dongdong
Xu, Yang
Wu, Liqiang
Wang, Wensheng
Cui, Yanru
Detection of epistasis interaction loci for fiber quality-related trait via 3VmrMLM in upland cotton
title Detection of epistasis interaction loci for fiber quality-related trait via 3VmrMLM in upland cotton
title_full Detection of epistasis interaction loci for fiber quality-related trait via 3VmrMLM in upland cotton
title_fullStr Detection of epistasis interaction loci for fiber quality-related trait via 3VmrMLM in upland cotton
title_full_unstemmed Detection of epistasis interaction loci for fiber quality-related trait via 3VmrMLM in upland cotton
title_short Detection of epistasis interaction loci for fiber quality-related trait via 3VmrMLM in upland cotton
title_sort detection of epistasis interaction loci for fiber quality-related trait via 3vmrmlm in upland cotton
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10568130/
https://www.ncbi.nlm.nih.gov/pubmed/37841603
http://dx.doi.org/10.3389/fpls.2023.1250161
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