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QTLs Analysis and Validation for Fiber Quality Traits Using Maternal Backcross Population in Upland Cotton
Cotton fiber is renewable natural fiber source for textile. Improving fiber quality is an essential goal for cotton breeding project. In present study, F(14) recombinant inbred line (RIL) population was backcrossed by the maternal parent to obtain a backcross (BC) population, derived from one Upland...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5744017/ https://www.ncbi.nlm.nih.gov/pubmed/29312408 http://dx.doi.org/10.3389/fpls.2017.02168 |
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author | Ma, Lingling Zhao, Yanpeng Wang, Yumei Shang, Lianguang Hua, Jinping |
author_facet | Ma, Lingling Zhao, Yanpeng Wang, Yumei Shang, Lianguang Hua, Jinping |
author_sort | Ma, Lingling |
collection | PubMed |
description | Cotton fiber is renewable natural fiber source for textile. Improving fiber quality is an essential goal for cotton breeding project. In present study, F(14) recombinant inbred line (RIL) population was backcrossed by the maternal parent to obtain a backcross (BC) population, derived from one Upland cotton hybrid. Three repetitive field trials were performed by randomized complete block design with two replicates in three locations in 2015, together with the BC population, common male parent and the RIL population. Totally, 26 QTLs in BC population explained 5.00–14.17% of phenotype variation (PV) and 37 quantitative trait loci (QTL) were detected in RIL population explaining 5.13–34.00% of PV. Seven common QTLs detected simultaneously in two populations explained PV from 7.69 to 23.05%. A total of 20 QTLs in present study verified the previous results across three environments in 2012. Particularly, qFL-Chr5-2 controlling fiber length on chromosome 5 explained 34.00% of PV, while qFL-Chr5-3 only within a 0.8 cM interval explained 13.93% of PV on average in multiple environments. These stable QTLs explaining great variation offered essential information for marker-assisted selection (MAS) to improve fiber quality traits. Lots of epistasis being detected in both populations acted as one of important genetic compositions of fiber quality traits. |
format | Online Article Text |
id | pubmed-5744017 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-57440172018-01-08 QTLs Analysis and Validation for Fiber Quality Traits Using Maternal Backcross Population in Upland Cotton Ma, Lingling Zhao, Yanpeng Wang, Yumei Shang, Lianguang Hua, Jinping Front Plant Sci Plant Science Cotton fiber is renewable natural fiber source for textile. Improving fiber quality is an essential goal for cotton breeding project. In present study, F(14) recombinant inbred line (RIL) population was backcrossed by the maternal parent to obtain a backcross (BC) population, derived from one Upland cotton hybrid. Three repetitive field trials were performed by randomized complete block design with two replicates in three locations in 2015, together with the BC population, common male parent and the RIL population. Totally, 26 QTLs in BC population explained 5.00–14.17% of phenotype variation (PV) and 37 quantitative trait loci (QTL) were detected in RIL population explaining 5.13–34.00% of PV. Seven common QTLs detected simultaneously in two populations explained PV from 7.69 to 23.05%. A total of 20 QTLs in present study verified the previous results across three environments in 2012. Particularly, qFL-Chr5-2 controlling fiber length on chromosome 5 explained 34.00% of PV, while qFL-Chr5-3 only within a 0.8 cM interval explained 13.93% of PV on average in multiple environments. These stable QTLs explaining great variation offered essential information for marker-assisted selection (MAS) to improve fiber quality traits. Lots of epistasis being detected in both populations acted as one of important genetic compositions of fiber quality traits. Frontiers Media S.A. 2017-12-22 /pmc/articles/PMC5744017/ /pubmed/29312408 http://dx.doi.org/10.3389/fpls.2017.02168 Text en Copyright © 2017 Ma, Zhao, Wang, Shang and Hua. http://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) or licensor 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 Ma, Lingling Zhao, Yanpeng Wang, Yumei Shang, Lianguang Hua, Jinping QTLs Analysis and Validation for Fiber Quality Traits Using Maternal Backcross Population in Upland Cotton |
title | QTLs Analysis and Validation for Fiber Quality Traits Using Maternal Backcross Population in Upland Cotton |
title_full | QTLs Analysis and Validation for Fiber Quality Traits Using Maternal Backcross Population in Upland Cotton |
title_fullStr | QTLs Analysis and Validation for Fiber Quality Traits Using Maternal Backcross Population in Upland Cotton |
title_full_unstemmed | QTLs Analysis and Validation for Fiber Quality Traits Using Maternal Backcross Population in Upland Cotton |
title_short | QTLs Analysis and Validation for Fiber Quality Traits Using Maternal Backcross Population in Upland Cotton |
title_sort | qtls analysis and validation for fiber quality traits using maternal backcross population in upland cotton |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5744017/ https://www.ncbi.nlm.nih.gov/pubmed/29312408 http://dx.doi.org/10.3389/fpls.2017.02168 |
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