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Maize network analysis revealed gene modules involved in development, nutrients utilization, metabolism, and stress response

BACKGROUND: The advent of big data in biology offers opportunities while poses challenges to derive biological insights. For maize, a large amount of publicly available transcriptome datasets have been generated but a comprehensive analysis is lacking. RESULTS: We constructed a maize gene co-express...

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Autores principales: Ma, Shisong, Ding, Zehong, Li, Pinghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5540570/
https://www.ncbi.nlm.nih.gov/pubmed/28764653
http://dx.doi.org/10.1186/s12870-017-1077-4
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author Ma, Shisong
Ding, Zehong
Li, Pinghua
author_facet Ma, Shisong
Ding, Zehong
Li, Pinghua
author_sort Ma, Shisong
collection PubMed
description BACKGROUND: The advent of big data in biology offers opportunities while poses challenges to derive biological insights. For maize, a large amount of publicly available transcriptome datasets have been generated but a comprehensive analysis is lacking. RESULTS: We constructed a maize gene co-expression network based on the graphical Gaussian model, using massive RNA-seq data. The network, containing 20,269 genes, assembles into 964 gene modules that function in a variety of plant processes, such as cell organization, the development of inflorescences, ligules and kernels, the uptake and utilization of nutrients (e.g. nitrogen and phosphate), the metabolism of benzoxazionids, oxylipins, flavonoids, and wax, and the response to stresses. Among them, the inflorescences development module is enriched with domestication genes (like ra1, ba1, gt1, tb1, tga1) that control plant architecture and kernel structure, while multiple other modules relate to diverse agronomic traits. Contained within these modules are transcription factors acting as known or potential expression regulators for the genes within the same modules, suggesting them as candidate regulators for related biological processes. A comparison with an established Arabidopsis network revealed conserved gene association patterns for specific modules involved in cell organization, nutrients uptake & utilization, and metabolism. The analysis also identified significant divergences between the two species for modules that orchestrate developmental pathways. CONCLUSIONS: This network sheds light on how gene modules are organized between different species in the context of evolutionary divergence and highlights modules whose structure and gene content can provide important resources for maize gene functional studies with application potential. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12870-017-1077-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-55405702017-08-07 Maize network analysis revealed gene modules involved in development, nutrients utilization, metabolism, and stress response Ma, Shisong Ding, Zehong Li, Pinghua BMC Plant Biol Research Article BACKGROUND: The advent of big data in biology offers opportunities while poses challenges to derive biological insights. For maize, a large amount of publicly available transcriptome datasets have been generated but a comprehensive analysis is lacking. RESULTS: We constructed a maize gene co-expression network based on the graphical Gaussian model, using massive RNA-seq data. The network, containing 20,269 genes, assembles into 964 gene modules that function in a variety of plant processes, such as cell organization, the development of inflorescences, ligules and kernels, the uptake and utilization of nutrients (e.g. nitrogen and phosphate), the metabolism of benzoxazionids, oxylipins, flavonoids, and wax, and the response to stresses. Among them, the inflorescences development module is enriched with domestication genes (like ra1, ba1, gt1, tb1, tga1) that control plant architecture and kernel structure, while multiple other modules relate to diverse agronomic traits. Contained within these modules are transcription factors acting as known or potential expression regulators for the genes within the same modules, suggesting them as candidate regulators for related biological processes. A comparison with an established Arabidopsis network revealed conserved gene association patterns for specific modules involved in cell organization, nutrients uptake & utilization, and metabolism. The analysis also identified significant divergences between the two species for modules that orchestrate developmental pathways. CONCLUSIONS: This network sheds light on how gene modules are organized between different species in the context of evolutionary divergence and highlights modules whose structure and gene content can provide important resources for maize gene functional studies with application potential. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12870-017-1077-4) contains supplementary material, which is available to authorized users. BioMed Central 2017-08-01 /pmc/articles/PMC5540570/ /pubmed/28764653 http://dx.doi.org/10.1186/s12870-017-1077-4 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Ma, Shisong
Ding, Zehong
Li, Pinghua
Maize network analysis revealed gene modules involved in development, nutrients utilization, metabolism, and stress response
title Maize network analysis revealed gene modules involved in development, nutrients utilization, metabolism, and stress response
title_full Maize network analysis revealed gene modules involved in development, nutrients utilization, metabolism, and stress response
title_fullStr Maize network analysis revealed gene modules involved in development, nutrients utilization, metabolism, and stress response
title_full_unstemmed Maize network analysis revealed gene modules involved in development, nutrients utilization, metabolism, and stress response
title_short Maize network analysis revealed gene modules involved in development, nutrients utilization, metabolism, and stress response
title_sort maize network analysis revealed gene modules involved in development, nutrients utilization, metabolism, and stress response
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5540570/
https://www.ncbi.nlm.nih.gov/pubmed/28764653
http://dx.doi.org/10.1186/s12870-017-1077-4
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