SoyNet: a database of co-functional networks for soybean Glycine max

被引:50
作者
Kim, Eiru [1 ]
Hwang, Sohyun [1 ]
Lee, Insuk [1 ]
机构
[1] Yonsei Univ, Coll Life Sci & Biotechnol, Dept Biotechnol, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
GENOMICS DATA SETS; PRIORITIZATION SERVER; METABOLIC PATHWAYS; GENE NETWORKS; IDENTIFICATION; SEQUENCE; ANNOTATION; PROTEINS; RESOURCE; ARCHIVE;
D O I
10.1093/nar/gkw704
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Soybean (Glycine max) is a legume crop with substantial economic value, providing a source of oil and protein for humans and livestock. More than 50% of edible oils consumed globally are derived from this crop. Soybean plants are also important for soil fertility, as they fix atmospheric nitrogen by symbiosis with microorganisms. The latest soybean genome annotation (version 2.0) lists 56 044 coding genes, yet their functional contributions to crop traits remain mostly unknown. Co-functional networks have proven useful for identifying genes that are involved in a particular pathway or phenotype with various network algorithms. Here, we present SoyNet (available at www.inetbio.org/soynet), a database of co-functional networks for G. max and a companion web server for network-based functional predictions. SoyNet maps 1 940 284 co-functional links between 40 812 soybean genes (72.8% of the coding genome), which were inferred from 21 distinct types of genomics data including 734 microarrays and 290 RNA-seq samples from soybean. SoyNet provides a new route to functional investigation of the soybean genome, elucidating genes and pathways of agricultural importance.
引用
收藏
页码:D1082 / D1089
页数:8
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