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QTL Mapping and Heterosis Analysis for Fiber Quality Traits Across Multiple Genetic Populations and Environments in Upland Cotton

An “immortalized F(2)” (IF(2)) population and two reciprocal backcross (HSBCF(1) and MARBCF(1)) populations were constructed to investigate the genetic bases of fiber quality traits in upland cotton across four different environments. A relatively high level of heterosis for micronaire (MIC) in IF(2...

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Autores principales: Li, Cong, Yu, Hurong, Li, Cheng, Zhao, Tianlun, Dong, Yating, Deng, Xiaolei, Hu, Jiahui, Zhang, Yi, Zhang, Fan, Daud, M. K., Chen, Jinhong, Zhu, Shuijin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6196769/
https://www.ncbi.nlm.nih.gov/pubmed/30374360
http://dx.doi.org/10.3389/fpls.2018.01364
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author Li, Cong
Yu, Hurong
Li, Cheng
Zhao, Tianlun
Dong, Yating
Deng, Xiaolei
Hu, Jiahui
Zhang, Yi
Zhang, Fan
Daud, M. K.
Chen, Jinhong
Zhu, Shuijin
author_facet Li, Cong
Yu, Hurong
Li, Cheng
Zhao, Tianlun
Dong, Yating
Deng, Xiaolei
Hu, Jiahui
Zhang, Yi
Zhang, Fan
Daud, M. K.
Chen, Jinhong
Zhu, Shuijin
author_sort Li, Cong
collection PubMed
description An “immortalized F(2)” (IF(2)) population and two reciprocal backcross (HSBCF(1) and MARBCF(1)) populations were constructed to investigate the genetic bases of fiber quality traits in upland cotton across four different environments. A relatively high level of heterosis for micronaire (MIC) in IF(2) population as well as fiber length (FL) and MIC in MARBCF(1) population was observed. A total of 167 quantitative trait loci (QTLs) were detected in the three related experimental populations and their corresponding midparental heterosis (MPH) datasets using the composite interval mapping (CIM) approach. An analysis of genetic effects of QTLs detected in different populations and their MPH datasets showed 16 (24.24%) QTLs of partial dominance, and 46 (69.70%) QTLs of overdominance were identified in an IF(2) population; 89 (62.68%) additive QTLs, three (2.11%) partial dominant QTLs, and 49 (34.51%) over-dominant QTLs were detected in two BCF(1) populations. Multi-environment analysis showed 48 and 56 main-QTLs (m-QTLs) and 132 and 182 epistasis-QTLs (e-QTLs), by inclusive composite interval mapping (ICIM) in IF(2) and two BCF(1) populations, respectively. Phenotypic variance explained by e-QTLs, except for MARBCF(1) population, was higher than that by m-QTLs. Thus, the overdominant, partial dominant, and epistasis effects were the main causes of heterosis in the IF(2) population, whereas the additive, overdominant, and epistasis effects were the primary genetic basis of heterosis in the two BCF(1) populations. Altogether, additive effect, partial dominance, overdominance, and epistasis contributed to fiber quality heterosis in upland cotton, but overdominance and epistasis were the most important factors.
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spelling pubmed-61967692018-10-29 QTL Mapping and Heterosis Analysis for Fiber Quality Traits Across Multiple Genetic Populations and Environments in Upland Cotton Li, Cong Yu, Hurong Li, Cheng Zhao, Tianlun Dong, Yating Deng, Xiaolei Hu, Jiahui Zhang, Yi Zhang, Fan Daud, M. K. Chen, Jinhong Zhu, Shuijin Front Plant Sci Plant Science An “immortalized F(2)” (IF(2)) population and two reciprocal backcross (HSBCF(1) and MARBCF(1)) populations were constructed to investigate the genetic bases of fiber quality traits in upland cotton across four different environments. A relatively high level of heterosis for micronaire (MIC) in IF(2) population as well as fiber length (FL) and MIC in MARBCF(1) population was observed. A total of 167 quantitative trait loci (QTLs) were detected in the three related experimental populations and their corresponding midparental heterosis (MPH) datasets using the composite interval mapping (CIM) approach. An analysis of genetic effects of QTLs detected in different populations and their MPH datasets showed 16 (24.24%) QTLs of partial dominance, and 46 (69.70%) QTLs of overdominance were identified in an IF(2) population; 89 (62.68%) additive QTLs, three (2.11%) partial dominant QTLs, and 49 (34.51%) over-dominant QTLs were detected in two BCF(1) populations. Multi-environment analysis showed 48 and 56 main-QTLs (m-QTLs) and 132 and 182 epistasis-QTLs (e-QTLs), by inclusive composite interval mapping (ICIM) in IF(2) and two BCF(1) populations, respectively. Phenotypic variance explained by e-QTLs, except for MARBCF(1) population, was higher than that by m-QTLs. Thus, the overdominant, partial dominant, and epistasis effects were the main causes of heterosis in the IF(2) population, whereas the additive, overdominant, and epistasis effects were the primary genetic basis of heterosis in the two BCF(1) populations. Altogether, additive effect, partial dominance, overdominance, and epistasis contributed to fiber quality heterosis in upland cotton, but overdominance and epistasis were the most important factors. Frontiers Media S.A. 2018-10-15 /pmc/articles/PMC6196769/ /pubmed/30374360 http://dx.doi.org/10.3389/fpls.2018.01364 Text en Copyright © 2018 Li, Yu, Li, Zhao, Dong, Deng, Hu, Zhang, Zhang, Daud, Chen and Zhu. 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) 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
Li, Cong
Yu, Hurong
Li, Cheng
Zhao, Tianlun
Dong, Yating
Deng, Xiaolei
Hu, Jiahui
Zhang, Yi
Zhang, Fan
Daud, M. K.
Chen, Jinhong
Zhu, Shuijin
QTL Mapping and Heterosis Analysis for Fiber Quality Traits Across Multiple Genetic Populations and Environments in Upland Cotton
title QTL Mapping and Heterosis Analysis for Fiber Quality Traits Across Multiple Genetic Populations and Environments in Upland Cotton
title_full QTL Mapping and Heterosis Analysis for Fiber Quality Traits Across Multiple Genetic Populations and Environments in Upland Cotton
title_fullStr QTL Mapping and Heterosis Analysis for Fiber Quality Traits Across Multiple Genetic Populations and Environments in Upland Cotton
title_full_unstemmed QTL Mapping and Heterosis Analysis for Fiber Quality Traits Across Multiple Genetic Populations and Environments in Upland Cotton
title_short QTL Mapping and Heterosis Analysis for Fiber Quality Traits Across Multiple Genetic Populations and Environments in Upland Cotton
title_sort qtl mapping and heterosis analysis for fiber quality traits across multiple genetic populations and environments in upland cotton
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6196769/
https://www.ncbi.nlm.nih.gov/pubmed/30374360
http://dx.doi.org/10.3389/fpls.2018.01364
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