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Maize plant architecture trait QTL mapping and candidate gene identification based on multiple environments and double populations
BACKGROUND: The plant architecture traits of maize determine the yield. Plant height, ear position, leaf angle above the primary ear and internode length above the primary ear together determine the canopy structure and photosynthetic efficiency of maize and at the same time affect lodging and disea...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915473/ https://www.ncbi.nlm.nih.gov/pubmed/35277127 http://dx.doi.org/10.1186/s12870-022-03470-7 |
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author | Fei, Jianbo Lu, Jianyu Jiang, Qingping Liu, Zhibo Yao, Dan Qu, Jing Liu, Siyan Guan, Shuyan Ma, Yiyong |
author_facet | Fei, Jianbo Lu, Jianyu Jiang, Qingping Liu, Zhibo Yao, Dan Qu, Jing Liu, Siyan Guan, Shuyan Ma, Yiyong |
author_sort | Fei, Jianbo |
collection | PubMed |
description | BACKGROUND: The plant architecture traits of maize determine the yield. Plant height, ear position, leaf angle above the primary ear and internode length above the primary ear together determine the canopy structure and photosynthetic efficiency of maize and at the same time affect lodging and disease resistance. A flat and tall plant architecture confers an obvious advantage in the yield of a single plant but is not conducive to dense planting and results in high rates of lodging; thus, it has been gradually eliminated in production. Although using plants that are too compact, short and density tolerant can increase the yield per unit area to a certain extent, the photosynthetic efficiency of such plants is low, ultimately limiting yield increases. Genetic mapping is an effective method for the improvement of plant architecture to identify candidate genes for regulating plant architecture traits. RESULTS: To find the best balance between the yield per plant and the yield per unit area of maize, in this study, the F2:3 pedigree population and a RIL population with the same male parent were used to identify QTL for plant height (PH), ear height (EH), leaf angle and internode length above the primary ear (LAE and ILE) in Changchun and Gongzhuling for 5 consecutive years (2016–2020). A total of 11, 13, 23 and 13 QTL were identified for PH, EH, LAE, and ILE, respectively. A pleiotropic consistent QTL for PH overlapped with that for EH on chromosome 3, with a phenotypic variation explanation rate from 6.809% to 21.96%. In addition, there were major consistent QTL for LAE and ILE, and the maximum phenotypic contribution rates were 24.226% and 30.748%, respectively. Three candidate genes were mined from the three consistent QTL regions and were involved in the gibberellin-activated signal pathway, brassinolide signal transduction pathway and auxin-activated signal pathway, respectively. Analysis of the expression levels of the three genes showed that they were actively expressed during the jointing stage of vigorous maize growth. CONCLUSIONS: In this study, three consistent major QTL related to plant type traits were identified and three candidate genes were screened. These results lay a foundation for the cloning of related functional genes and marker-assisted breeding of related functional genes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-022-03470-7. |
format | Online Article Text |
id | pubmed-8915473 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-89154732022-03-18 Maize plant architecture trait QTL mapping and candidate gene identification based on multiple environments and double populations Fei, Jianbo Lu, Jianyu Jiang, Qingping Liu, Zhibo Yao, Dan Qu, Jing Liu, Siyan Guan, Shuyan Ma, Yiyong BMC Plant Biol Research BACKGROUND: The plant architecture traits of maize determine the yield. Plant height, ear position, leaf angle above the primary ear and internode length above the primary ear together determine the canopy structure and photosynthetic efficiency of maize and at the same time affect lodging and disease resistance. A flat and tall plant architecture confers an obvious advantage in the yield of a single plant but is not conducive to dense planting and results in high rates of lodging; thus, it has been gradually eliminated in production. Although using plants that are too compact, short and density tolerant can increase the yield per unit area to a certain extent, the photosynthetic efficiency of such plants is low, ultimately limiting yield increases. Genetic mapping is an effective method for the improvement of plant architecture to identify candidate genes for regulating plant architecture traits. RESULTS: To find the best balance between the yield per plant and the yield per unit area of maize, in this study, the F2:3 pedigree population and a RIL population with the same male parent were used to identify QTL for plant height (PH), ear height (EH), leaf angle and internode length above the primary ear (LAE and ILE) in Changchun and Gongzhuling for 5 consecutive years (2016–2020). A total of 11, 13, 23 and 13 QTL were identified for PH, EH, LAE, and ILE, respectively. A pleiotropic consistent QTL for PH overlapped with that for EH on chromosome 3, with a phenotypic variation explanation rate from 6.809% to 21.96%. In addition, there were major consistent QTL for LAE and ILE, and the maximum phenotypic contribution rates were 24.226% and 30.748%, respectively. Three candidate genes were mined from the three consistent QTL regions and were involved in the gibberellin-activated signal pathway, brassinolide signal transduction pathway and auxin-activated signal pathway, respectively. Analysis of the expression levels of the three genes showed that they were actively expressed during the jointing stage of vigorous maize growth. CONCLUSIONS: In this study, three consistent major QTL related to plant type traits were identified and three candidate genes were screened. These results lay a foundation for the cloning of related functional genes and marker-assisted breeding of related functional genes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-022-03470-7. BioMed Central 2022-03-11 /pmc/articles/PMC8915473/ /pubmed/35277127 http://dx.doi.org/10.1186/s12870-022-03470-7 Text en © The Author(s) 2022 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 Fei, Jianbo Lu, Jianyu Jiang, Qingping Liu, Zhibo Yao, Dan Qu, Jing Liu, Siyan Guan, Shuyan Ma, Yiyong Maize plant architecture trait QTL mapping and candidate gene identification based on multiple environments and double populations |
title | Maize plant architecture trait QTL mapping and candidate gene identification based on multiple environments and double populations |
title_full | Maize plant architecture trait QTL mapping and candidate gene identification based on multiple environments and double populations |
title_fullStr | Maize plant architecture trait QTL mapping and candidate gene identification based on multiple environments and double populations |
title_full_unstemmed | Maize plant architecture trait QTL mapping and candidate gene identification based on multiple environments and double populations |
title_short | Maize plant architecture trait QTL mapping and candidate gene identification based on multiple environments and double populations |
title_sort | maize plant architecture trait qtl mapping and candidate gene identification based on multiple environments and double populations |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915473/ https://www.ncbi.nlm.nih.gov/pubmed/35277127 http://dx.doi.org/10.1186/s12870-022-03470-7 |
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