The state of the art in soybean transcriptomics resources and gene coexpression networks

被引:3
作者
Almeida-Silva, Fabricio [1 ]
Moharana, Kanhu C. [1 ]
Venancio, Thiago M. [1 ]
机构
[1] Univ Estadual Norte Fluminense, Ctr Biociencias & Biotecnol, Lab Quim & Funcao Proteinas & Peptideos, Campos Goytacazes, Rio De Janeiro, Brazil
来源
IN SILICO PLANTS | 2021年 / 3卷 / 01期
关键词
Functional genomics; gene expression; hub genes; legumes; modules; GLYCINE-MAX; EXPRESSION; REVEALS; MODEL; INFECTION; PATTERNS; CELL;
D O I
10.1093/insilicoplants/diab005
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
In the past decade, over 3000 samples of soybean transcriptomic data have accumulated in public repositories. Here, we review the state of the art in soybean transcriptomics, highlighting the major microarray and RNA-seq studies that investigated soybean transcriptional programs in different tissues and conditions. Further, we propose approaches for integrating such big data using gene coexpression network and outline important web resources that may facilitate soybean data acquisition and analysis, contributing to the acceleration of soybean breeding and functional genomics research.
引用
收藏
页数:7
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