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Validation of QTLs for Fiber Quality Introgressed from Gossypium mustelinum by Selective Genotyping
Gene introgression from wild species has been shown to be a feasible approach for fiber quality improvement in Upland cotton. Previously, we developed an interspecific G. mustelinum × G. hirsutum advanced-backcross population and mapped over one hundred QTL for fiber quality traits. In the current s...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341125/ https://www.ncbi.nlm.nih.gov/pubmed/32393539 http://dx.doi.org/10.1534/g3.120.401125 |
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author | Chen, Qi Wang, Wei Wang, Caixiang Zhang, Mi Yu, Jiwen Zhang, Yifei Yuan, Baotong Ding, Yunyun Jones, Don C. Paterson, Andrew H. Chee, Peng W. Wang, Baohua |
author_facet | Chen, Qi Wang, Wei Wang, Caixiang Zhang, Mi Yu, Jiwen Zhang, Yifei Yuan, Baotong Ding, Yunyun Jones, Don C. Paterson, Andrew H. Chee, Peng W. Wang, Baohua |
author_sort | Chen, Qi |
collection | PubMed |
description | Gene introgression from wild species has been shown to be a feasible approach for fiber quality improvement in Upland cotton. Previously, we developed an interspecific G. mustelinum × G. hirsutum advanced-backcross population and mapped over one hundred QTL for fiber quality traits. In the current study, a trait-based selective genotyping approach was utilized to prioritize a small subset of introgression lines with high phenotypic values for different fiber quality traits, to simultaneously validate multiple fiber quality QTL in a single experiment. A total of 75 QTL were detected by CIM and/or single-marker analysis, including 11 significant marker-trait associations (P < 0.001) and three putative associations (P < 0.005) also reported in earlier studies. The QTL that have been validated include three each for fiber length, micronaire, and elongation, and one each for fiber strength and uniformity. Collectively, about 10% of the QTL previously reported have been validated here, indicating that selective genotyping has the potential to validate multiple marker-trait associations for different traits, especially those with a moderate to large-effect detected simultaneously in one experimental population. The G. mustelinum alleles contributed to improved fiber quality for all validated loci. The results from this study will lay the foundation for further fine mapping, marker-assisted selection and map-based gene cloning. |
format | Online Article Text |
id | pubmed-7341125 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-73411252020-07-21 Validation of QTLs for Fiber Quality Introgressed from Gossypium mustelinum by Selective Genotyping Chen, Qi Wang, Wei Wang, Caixiang Zhang, Mi Yu, Jiwen Zhang, Yifei Yuan, Baotong Ding, Yunyun Jones, Don C. Paterson, Andrew H. Chee, Peng W. Wang, Baohua G3 (Bethesda) Investigations Gene introgression from wild species has been shown to be a feasible approach for fiber quality improvement in Upland cotton. Previously, we developed an interspecific G. mustelinum × G. hirsutum advanced-backcross population and mapped over one hundred QTL for fiber quality traits. In the current study, a trait-based selective genotyping approach was utilized to prioritize a small subset of introgression lines with high phenotypic values for different fiber quality traits, to simultaneously validate multiple fiber quality QTL in a single experiment. A total of 75 QTL were detected by CIM and/or single-marker analysis, including 11 significant marker-trait associations (P < 0.001) and three putative associations (P < 0.005) also reported in earlier studies. The QTL that have been validated include three each for fiber length, micronaire, and elongation, and one each for fiber strength and uniformity. Collectively, about 10% of the QTL previously reported have been validated here, indicating that selective genotyping has the potential to validate multiple marker-trait associations for different traits, especially those with a moderate to large-effect detected simultaneously in one experimental population. The G. mustelinum alleles contributed to improved fiber quality for all validated loci. The results from this study will lay the foundation for further fine mapping, marker-assisted selection and map-based gene cloning. Genetics Society of America 2020-05-11 /pmc/articles/PMC7341125/ /pubmed/32393539 http://dx.doi.org/10.1534/g3.120.401125 Text en Copyright © 2020 Chen et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Investigations Chen, Qi Wang, Wei Wang, Caixiang Zhang, Mi Yu, Jiwen Zhang, Yifei Yuan, Baotong Ding, Yunyun Jones, Don C. Paterson, Andrew H. Chee, Peng W. Wang, Baohua Validation of QTLs for Fiber Quality Introgressed from Gossypium mustelinum by Selective Genotyping |
title | Validation of QTLs for Fiber Quality Introgressed from Gossypium mustelinum by Selective Genotyping |
title_full | Validation of QTLs for Fiber Quality Introgressed from Gossypium mustelinum by Selective Genotyping |
title_fullStr | Validation of QTLs for Fiber Quality Introgressed from Gossypium mustelinum by Selective Genotyping |
title_full_unstemmed | Validation of QTLs for Fiber Quality Introgressed from Gossypium mustelinum by Selective Genotyping |
title_short | Validation of QTLs for Fiber Quality Introgressed from Gossypium mustelinum by Selective Genotyping |
title_sort | validation of qtls for fiber quality introgressed from gossypium mustelinum by selective genotyping |
topic | Investigations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341125/ https://www.ncbi.nlm.nih.gov/pubmed/32393539 http://dx.doi.org/10.1534/g3.120.401125 |
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