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Genetic analysis of three maize husk traits by QTL mapping in a maize-teosinte population

BACKGROUND: The maize husk consists of numerous leafy layers and plays vital roles in protecting the ear from pathogen infection and dehydration. Teosinte, the wild ancestor of maize, has about three layers of small husk outer covering the ear. Although several quantitative trait loci (QTL) underlyi...

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Autores principales: Zhang, Xiaolei, Lu, Ming, Xia, Aiai, Xu, Tao, Cui, Zhenhai, Zhang, Ruiying, Liu, Wenguo, He, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8152318/
https://www.ncbi.nlm.nih.gov/pubmed/34034669
http://dx.doi.org/10.1186/s12864-021-07723-x
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author Zhang, Xiaolei
Lu, Ming
Xia, Aiai
Xu, Tao
Cui, Zhenhai
Zhang, Ruiying
Liu, Wenguo
He, Yan
author_facet Zhang, Xiaolei
Lu, Ming
Xia, Aiai
Xu, Tao
Cui, Zhenhai
Zhang, Ruiying
Liu, Wenguo
He, Yan
author_sort Zhang, Xiaolei
collection PubMed
description BACKGROUND: The maize husk consists of numerous leafy layers and plays vital roles in protecting the ear from pathogen infection and dehydration. Teosinte, the wild ancestor of maize, has about three layers of small husk outer covering the ear. Although several quantitative trait loci (QTL) underlying husk morphology variation have been reported, the genetic basis of husk traits between teosinte and maize remains unclear. RESULTS: A linkage population including 191 BC(2)F(8) inbred lines generated from the maize line Mo17 and the teosinte line X26–4 was used to identify QTL associated with three husk traits: i.e., husk length (HL), husk width (HW) and the number of husk layers (HN). The best linear unbiased predictor (BLUP) depicted wide phenotypic variation and high heritability of all three traits. The HL exhibited greater correlation with HW than HN. A total of 4 QTLs were identified including 1, 1, 2, which are associated with HL, HW and HN, respectively. The proportion of phenotypic variation explained by these QTLs was 9.6, 8.9 and 8.1% for HL, HN and HW, respectively. CONCLUSIONS: The QTLs identified in this study will pave a path to explore candidate genes regulating husk growth and development, and benefit the molecular breeding program based on molecular marker-assisted selection to cultivate maize varieties with an ideal husk morphology.
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spelling pubmed-81523182021-05-26 Genetic analysis of three maize husk traits by QTL mapping in a maize-teosinte population Zhang, Xiaolei Lu, Ming Xia, Aiai Xu, Tao Cui, Zhenhai Zhang, Ruiying Liu, Wenguo He, Yan BMC Genomics Research BACKGROUND: The maize husk consists of numerous leafy layers and plays vital roles in protecting the ear from pathogen infection and dehydration. Teosinte, the wild ancestor of maize, has about three layers of small husk outer covering the ear. Although several quantitative trait loci (QTL) underlying husk morphology variation have been reported, the genetic basis of husk traits between teosinte and maize remains unclear. RESULTS: A linkage population including 191 BC(2)F(8) inbred lines generated from the maize line Mo17 and the teosinte line X26–4 was used to identify QTL associated with three husk traits: i.e., husk length (HL), husk width (HW) and the number of husk layers (HN). The best linear unbiased predictor (BLUP) depicted wide phenotypic variation and high heritability of all three traits. The HL exhibited greater correlation with HW than HN. A total of 4 QTLs were identified including 1, 1, 2, which are associated with HL, HW and HN, respectively. The proportion of phenotypic variation explained by these QTLs was 9.6, 8.9 and 8.1% for HL, HN and HW, respectively. CONCLUSIONS: The QTLs identified in this study will pave a path to explore candidate genes regulating husk growth and development, and benefit the molecular breeding program based on molecular marker-assisted selection to cultivate maize varieties with an ideal husk morphology. BioMed Central 2021-05-26 /pmc/articles/PMC8152318/ /pubmed/34034669 http://dx.doi.org/10.1186/s12864-021-07723-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhang, Xiaolei
Lu, Ming
Xia, Aiai
Xu, Tao
Cui, Zhenhai
Zhang, Ruiying
Liu, Wenguo
He, Yan
Genetic analysis of three maize husk traits by QTL mapping in a maize-teosinte population
title Genetic analysis of three maize husk traits by QTL mapping in a maize-teosinte population
title_full Genetic analysis of three maize husk traits by QTL mapping in a maize-teosinte population
title_fullStr Genetic analysis of three maize husk traits by QTL mapping in a maize-teosinte population
title_full_unstemmed Genetic analysis of three maize husk traits by QTL mapping in a maize-teosinte population
title_short Genetic analysis of three maize husk traits by QTL mapping in a maize-teosinte population
title_sort genetic analysis of three maize husk traits by qtl mapping in a maize-teosinte population
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8152318/
https://www.ncbi.nlm.nih.gov/pubmed/34034669
http://dx.doi.org/10.1186/s12864-021-07723-x
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