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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The American Society for Biochemistry and Molecular Biology 2019
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.
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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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