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Association Mapping and Transcriptome Analysis Reveal the Genetic Architecture of Maize Kernel Size
Kernel length, kernel width, and kernel thickness are important traits affecting grain yield and product quality. Here, the genetic architecture of the three kernel size traits was dissected in an association panel of 309 maize inbred lines using four statistical methods. Forty-two significant singl...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8013726/ https://www.ncbi.nlm.nih.gov/pubmed/33815440 http://dx.doi.org/10.3389/fpls.2021.632788 |
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author | Ma, Juan Wang, Lifeng Cao, Yanyong Wang, Hao Li, Huiyong |
author_facet | Ma, Juan Wang, Lifeng Cao, Yanyong Wang, Hao Li, Huiyong |
author_sort | Ma, Juan |
collection | PubMed |
description | Kernel length, kernel width, and kernel thickness are important traits affecting grain yield and product quality. Here, the genetic architecture of the three kernel size traits was dissected in an association panel of 309 maize inbred lines using four statistical methods. Forty-two significant single nucleotide polymorphisms (SNPs; p < 1.72E-05) and 70 genes for the three traits were identified under five environments. One and eight SNPs were co-detected in two environments and by at least two methods, respectively, and they explained 5.87–9.59% of the phenotypic variation. Comparing the transcriptomes of two inbred lines with contrasting seed size, three and eight genes identified in the association panel showed significantly differential expression between the two genotypes at 15 and 39 days after pollination, respectively. Ten and 17 genes identified by a genome-wide association study were significantly differentially expressed between the two development stages in the two genotypes. Combining environment−/method-stable SNPs and differential expression analysis, ribosomal protein L7, jasmonate-regulated gene 21, serine/threonine-protein kinase RUNKEL, AP2-EREBP-transcription factor 16, and Zm00001d035222 (cell wall protein IFF6-like) were important candidate genes for maize kernel size and development. |
format | Online Article Text |
id | pubmed-8013726 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80137262021-04-02 Association Mapping and Transcriptome Analysis Reveal the Genetic Architecture of Maize Kernel Size Ma, Juan Wang, Lifeng Cao, Yanyong Wang, Hao Li, Huiyong Front Plant Sci Plant Science Kernel length, kernel width, and kernel thickness are important traits affecting grain yield and product quality. Here, the genetic architecture of the three kernel size traits was dissected in an association panel of 309 maize inbred lines using four statistical methods. Forty-two significant single nucleotide polymorphisms (SNPs; p < 1.72E-05) and 70 genes for the three traits were identified under five environments. One and eight SNPs were co-detected in two environments and by at least two methods, respectively, and they explained 5.87–9.59% of the phenotypic variation. Comparing the transcriptomes of two inbred lines with contrasting seed size, three and eight genes identified in the association panel showed significantly differential expression between the two genotypes at 15 and 39 days after pollination, respectively. Ten and 17 genes identified by a genome-wide association study were significantly differentially expressed between the two development stages in the two genotypes. Combining environment−/method-stable SNPs and differential expression analysis, ribosomal protein L7, jasmonate-regulated gene 21, serine/threonine-protein kinase RUNKEL, AP2-EREBP-transcription factor 16, and Zm00001d035222 (cell wall protein IFF6-like) were important candidate genes for maize kernel size and development. Frontiers Media S.A. 2021-03-18 /pmc/articles/PMC8013726/ /pubmed/33815440 http://dx.doi.org/10.3389/fpls.2021.632788 Text en Copyright © 2021 Ma, Wang, Cao, Wang and Li. 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 Ma, Juan Wang, Lifeng Cao, Yanyong Wang, Hao Li, Huiyong Association Mapping and Transcriptome Analysis Reveal the Genetic Architecture of Maize Kernel Size |
title | Association Mapping and Transcriptome Analysis Reveal the Genetic Architecture of Maize Kernel Size |
title_full | Association Mapping and Transcriptome Analysis Reveal the Genetic Architecture of Maize Kernel Size |
title_fullStr | Association Mapping and Transcriptome Analysis Reveal the Genetic Architecture of Maize Kernel Size |
title_full_unstemmed | Association Mapping and Transcriptome Analysis Reveal the Genetic Architecture of Maize Kernel Size |
title_short | Association Mapping and Transcriptome Analysis Reveal the Genetic Architecture of Maize Kernel Size |
title_sort | association mapping and transcriptome analysis reveal the genetic architecture of maize kernel size |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8013726/ https://www.ncbi.nlm.nih.gov/pubmed/33815440 http://dx.doi.org/10.3389/fpls.2021.632788 |
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