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Characterization of Proteome Variation During Modern Maize Breeding
The success of modern maize breeding has been demonstrated by remarkable increases in productivity with tremendous modification of agricultural phenotypes over the last century. Although the underlying genetic changes of the maize adaptation from tropical to temperate regions have been extensively s...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The American Society for Biochemistry and Molecular Biology
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6356080/ https://www.ncbi.nlm.nih.gov/pubmed/30409858 http://dx.doi.org/10.1074/mcp.RA118.001021 |
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author | Jiang, Lu-Guang Li, Bo Liu, Sheng-Xue Wang, Hong-Wei Li, Cui-Ping Song, Shu-Hui Beatty, Mary Zastrow-Hayes, Gina Yang, Xiao-Hong Qin, Feng He, Yan |
author_facet | Jiang, Lu-Guang Li, Bo Liu, Sheng-Xue Wang, Hong-Wei Li, Cui-Ping Song, Shu-Hui Beatty, Mary Zastrow-Hayes, Gina Yang, Xiao-Hong Qin, Feng He, Yan |
author_sort | Jiang, Lu-Guang |
collection | PubMed |
description | The success of modern maize breeding has been demonstrated by remarkable increases in productivity with tremendous modification of agricultural phenotypes over the last century. Although the underlying genetic changes of the maize adaptation from tropical to temperate regions have been extensively studied, our knowledge is limited regarding the accordance of protein and mRNA expression levels accompanying such adaptation. Here we conducted an integrative analysis of proteomic and transcriptomic changes in a maize association panel. The minimum extent of correlation between protein and RNA levels suggests that variation in mRNA expression is often not indicative of protein expression at a population scale. This is corroborated by the observation that mRNA- and protein-based coexpression networks are relatively independent of each other, and many pQTLs arise without the presence of corresponding eQTLs. Importantly, compared with transcriptome, the subtypes categorized by the proteome show a markedly high accuracy to resemble the genomic subpopulation. These findings suggest that proteome evolved under a greater evolutionary constraint than transcriptome during maize adaptation from tropical to temperate regions. Overall, the integrated multi-omics analysis provides a functional context to interpret gene expression variation during modern maize breeding. |
format | Online Article Text |
id | pubmed-6356080 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | The American Society for Biochemistry and Molecular Biology |
record_format | MEDLINE/PubMed |
spelling | pubmed-63560802019-02-04 Characterization of Proteome Variation During Modern Maize Breeding Jiang, Lu-Guang Li, Bo Liu, Sheng-Xue Wang, Hong-Wei Li, Cui-Ping Song, Shu-Hui Beatty, Mary Zastrow-Hayes, Gina Yang, Xiao-Hong Qin, Feng He, Yan Mol Cell Proteomics Research The success of modern maize breeding has been demonstrated by remarkable increases in productivity with tremendous modification of agricultural phenotypes over the last century. Although the underlying genetic changes of the maize adaptation from tropical to temperate regions have been extensively studied, our knowledge is limited regarding the accordance of protein and mRNA expression levels accompanying such adaptation. Here we conducted an integrative analysis of proteomic and transcriptomic changes in a maize association panel. The minimum extent of correlation between protein and RNA levels suggests that variation in mRNA expression is often not indicative of protein expression at a population scale. This is corroborated by the observation that mRNA- and protein-based coexpression networks are relatively independent of each other, and many pQTLs arise without the presence of corresponding eQTLs. Importantly, compared with transcriptome, the subtypes categorized by the proteome show a markedly high accuracy to resemble the genomic subpopulation. These findings suggest that proteome evolved under a greater evolutionary constraint than transcriptome during maize adaptation from tropical to temperate regions. Overall, the integrated multi-omics analysis provides a functional context to interpret gene expression variation during modern maize breeding. The American Society for Biochemistry and Molecular Biology 2019-02 2018-11-08 /pmc/articles/PMC6356080/ /pubmed/30409858 http://dx.doi.org/10.1074/mcp.RA118.001021 Text en © 2019 Jiang et al. Published by The American Society for Biochemistry and Molecular Biology, Inc. Author's Choice—Final version open access under the terms of the Creative Commons CC-BY license (http://creativecommons.org/licenses/by/4.0) . |
spellingShingle | Research Jiang, Lu-Guang Li, Bo Liu, Sheng-Xue Wang, Hong-Wei Li, Cui-Ping Song, Shu-Hui Beatty, Mary Zastrow-Hayes, Gina Yang, Xiao-Hong Qin, Feng He, Yan Characterization of Proteome Variation During Modern Maize Breeding |
title | Characterization of Proteome Variation During Modern Maize Breeding |
title_full | Characterization of Proteome Variation During Modern Maize Breeding |
title_fullStr | Characterization of Proteome Variation During Modern Maize Breeding |
title_full_unstemmed | Characterization of Proteome Variation During Modern Maize Breeding |
title_short | Characterization of Proteome Variation During Modern Maize Breeding |
title_sort | characterization of proteome variation during modern maize breeding |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6356080/ https://www.ncbi.nlm.nih.gov/pubmed/30409858 http://dx.doi.org/10.1074/mcp.RA118.001021 |
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