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WheatCENet: A Database for Comparative Co-expression Networks Analysis of Allohexaploid Wheat and Its Progenitors

Genetic and epigenetic changes after polyploidization events could result in variable gene expression and modified regulatory networks. Here, using large-scale transcriptome data, we constructed co-expression networks for diploid, tetraploid, and hexaploid wheat species, and built a platform for com...

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Autores principales: Li, Zhongqiu, Hu, Yiheng, Ma, Xuelian, Da, Lingling, She, Jiajie, Liu, Yue, Yi, Xin, Cao, Yaxin, Xu, Wenying, Jiao, Yuannian, Su, Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626052/
https://www.ncbi.nlm.nih.gov/pubmed/35660007
http://dx.doi.org/10.1016/j.gpb.2022.04.007
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author Li, Zhongqiu
Hu, Yiheng
Ma, Xuelian
Da, Lingling
She, Jiajie
Liu, Yue
Yi, Xin
Cao, Yaxin
Xu, Wenying
Jiao, Yuannian
Su, Zhen
author_facet Li, Zhongqiu
Hu, Yiheng
Ma, Xuelian
Da, Lingling
She, Jiajie
Liu, Yue
Yi, Xin
Cao, Yaxin
Xu, Wenying
Jiao, Yuannian
Su, Zhen
author_sort Li, Zhongqiu
collection PubMed
description Genetic and epigenetic changes after polyploidization events could result in variable gene expression and modified regulatory networks. Here, using large-scale transcriptome data, we constructed co-expression networks for diploid, tetraploid, and hexaploid wheat species, and built a platform for comparing co-expression networks of allohexaploid wheat and its progenitors, named WheatCENet. WheatCENet is a platform for searching and comparing specific functional co-expression networks, as well as identifying the related functions of the genes clustered therein. Functional annotations like pathways, gene families, protein–protein interactions, microRNAs (miRNAs), and several lines of epigenome data are integrated into this platform, and Gene Ontology (GO) annotation, gene set enrichment analysis (GSEA), motif identification, and other useful tools are also included. Using WheatCENet, we found that the network of WHEAT ABERRANT PANICLE ORGANIZATION 1 (WAPO1) has more co-expressed genes related to spike development in hexaploid wheat than its progenitors. We also found a novel motif of CCWWWWWWGG (CArG) specifically in the promoter region of WAPO-A1, suggesting that neofunctionalization of the WAPO-A1 gene affects spikelet development in hexaploid wheat. WheatCENet is useful for investigating co-expression networks and conducting other analyses, and thus facilitates comparative and functional genomic studies in wheat. WheatCENet is freely available at http://bioinformatics.cpolar.cn/WheatCENet and http://bioinformatics.cau.edu.cn/WheatCENet.
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spelling pubmed-106260522023-11-07 WheatCENet: A Database for Comparative Co-expression Networks Analysis of Allohexaploid Wheat and Its Progenitors Li, Zhongqiu Hu, Yiheng Ma, Xuelian Da, Lingling She, Jiajie Liu, Yue Yi, Xin Cao, Yaxin Xu, Wenying Jiao, Yuannian Su, Zhen Genomics Proteomics Bioinformatics Database Genetic and epigenetic changes after polyploidization events could result in variable gene expression and modified regulatory networks. Here, using large-scale transcriptome data, we constructed co-expression networks for diploid, tetraploid, and hexaploid wheat species, and built a platform for comparing co-expression networks of allohexaploid wheat and its progenitors, named WheatCENet. WheatCENet is a platform for searching and comparing specific functional co-expression networks, as well as identifying the related functions of the genes clustered therein. Functional annotations like pathways, gene families, protein–protein interactions, microRNAs (miRNAs), and several lines of epigenome data are integrated into this platform, and Gene Ontology (GO) annotation, gene set enrichment analysis (GSEA), motif identification, and other useful tools are also included. Using WheatCENet, we found that the network of WHEAT ABERRANT PANICLE ORGANIZATION 1 (WAPO1) has more co-expressed genes related to spike development in hexaploid wheat than its progenitors. We also found a novel motif of CCWWWWWWGG (CArG) specifically in the promoter region of WAPO-A1, suggesting that neofunctionalization of the WAPO-A1 gene affects spikelet development in hexaploid wheat. WheatCENet is useful for investigating co-expression networks and conducting other analyses, and thus facilitates comparative and functional genomic studies in wheat. WheatCENet is freely available at http://bioinformatics.cpolar.cn/WheatCENet and http://bioinformatics.cau.edu.cn/WheatCENet. Elsevier 2023-04 2022-06-01 /pmc/articles/PMC10626052/ /pubmed/35660007 http://dx.doi.org/10.1016/j.gpb.2022.04.007 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Database
Li, Zhongqiu
Hu, Yiheng
Ma, Xuelian
Da, Lingling
She, Jiajie
Liu, Yue
Yi, Xin
Cao, Yaxin
Xu, Wenying
Jiao, Yuannian
Su, Zhen
WheatCENet: A Database for Comparative Co-expression Networks Analysis of Allohexaploid Wheat and Its Progenitors
title WheatCENet: A Database for Comparative Co-expression Networks Analysis of Allohexaploid Wheat and Its Progenitors
title_full WheatCENet: A Database for Comparative Co-expression Networks Analysis of Allohexaploid Wheat and Its Progenitors
title_fullStr WheatCENet: A Database for Comparative Co-expression Networks Analysis of Allohexaploid Wheat and Its Progenitors
title_full_unstemmed WheatCENet: A Database for Comparative Co-expression Networks Analysis of Allohexaploid Wheat and Its Progenitors
title_short WheatCENet: A Database for Comparative Co-expression Networks Analysis of Allohexaploid Wheat and Its Progenitors
title_sort wheatcenet: a database for comparative co-expression networks analysis of allohexaploid wheat and its progenitors
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626052/
https://www.ncbi.nlm.nih.gov/pubmed/35660007
http://dx.doi.org/10.1016/j.gpb.2022.04.007
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