Journal of Agricultural Big Data >
A Panoramic Guide to Multi-Omics Data Resources for Soybean
#These authors contributed equally to this work
Received date: 2026-01-07
Accepted date: 2026-03-18
Online published: 2026-04-01
With the rapid development of sequencing technologies and high-throughput phenotyping approaches, soybean research has entered an era of rapid accumulation of multi-omics data. These data encompass multiple dimensions, including genomics, transcriptomics, epigenomics, and phenomics, and have driven the establishment of a series of specialized databases such as SoyBase, SoyOD, SoyMD, and SoyOmics. Together, these resources provide a solid data foundation for functional gene discovery and molecular breeding applications. In this review, we systematically summarize currently available soybean multi-omics data resources and database platforms, highlighting their data types, organizational frameworks, and functional characteristics. We further analyze the complementarity among these platforms and review recent advances in the integrative application of multi-omics data. This review aims to provide researchers with a systematic, clear, and practical guide to soybean data resources, facilitating the efficient integration and utilization of diverse omics datasets and supporting precision breeding and in-depth studies of the genetic mechanisms underlying complex traits.
Key words： soybean; database; multi-omics; genome; variome; transcriptome; proteome; metabolome; epigenome; phenome
CAO YongRong , REN SiWei , XIE HaiXia , SHAO ZhouQin , TIAN DongMei , SONG ShuHui . A Panoramic Guide to Multi-Omics Data Resources for Soybean[J]. Journal of Agricultural Big Data, 2026 , 8(1) : 98 -112 . DOI: 10.19788/j.issn.2096-6369.000151
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