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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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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. |
format | Online Article Text |
id | pubmed-10568130 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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