Literature DB >> 35660007

WheatCENet: A database for comparative co-expression networks analysis of allohexaploid wheat and its progenitors.

Zhongqiu Li1, Yiheng Hu2, Xuelian Ma1, Lingling Da1, Jiajie She1, Yue Liu1, Xin Yi3, Yaxin Cao1, Wenying Xu1, Yuannian Jiao4, Zhen Su5.   

Abstract

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 pathway, gene family, protein-protein interactions, microRNA (miRNA), 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.
Copyright © 2022. Published by Elsevier B.V.

Entities:  

Keywords:  Co-expression network; Diploid and polyploidy wheat; Functional annotation; Species comparison

Year:  2022        PMID: 35660007     DOI: 10.1016/j.gpb.2022.04.007

Source DB:  PubMed          Journal:  Genomics Proteomics Bioinformatics        ISSN: 1672-0229            Impact factor:   7.691


  1 in total

1.  Association of Root Hair Length and Density with Yield-Related Traits and Expression Patterns of TaRSL4 Underpinning Root Hair Length in Spring Wheat.

Authors:  Saman Maqbool; Fatima Saeed; Ali Raza; Awais Rasheed; Zhonghu He
Journal:  Plants (Basel)       Date:  2022-08-29
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.