Literature DB >> 33264401

A new decade and new data at SoyBase, the USDA-ARS soybean genetics and genomics database.

Anne V Brown1, Shawn I Conners1, Wei Huang1, Andrew P Wilkey2, David Grant1,3, Nathan T Weeks1, Steven B Cannon1, Michelle A Graham1, Rex T Nelson1.   

Abstract

SoyBase, a USDA genetic and genomics database, holds professionally curated soybean genetic and genomic data, which is integrated and made accessible to researchers and breeders. The site holds several reference genome assemblies, as well as genetic maps, thousands of mapped traits, expression and epigenetic data, pedigree information, and extensive variant and genotyping data sets. SoyBase displays include genetic, genomic, and epigenetic maps of the soybean genome. Gene expression data is presented in the genome viewer as heat maps and pictorial and tabular displays in gene report pages. Millions of sequence variants have been added, representing variations across various collections of cultivars. This variant data is explorable using new interactive tools to visualize the distribution of those variants across the genome, between selected accessions. SoyBase holds several reference-quality soybean genome assemblies, accessible via various query tools and browsers, including a new visualization system for exploring the soybean pan-genome. SoyBase also serves as a nexus of announcements pertinent to the greater soybean research community. The database also includes a soybean-specific anatomic and biochemical trait ontology. The database can be accessed at https://soybase.org. Published by Oxford University Press on behalf of Nucleic Acids Research 2020.

Entities:  

Year:  2020        PMID: 33264401     DOI: 10.1093/nar/gkaa1107

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  14 in total

Review 1.  Plant Reactome and PubChem: The Plant Pathway and (Bio)Chemical Entity Knowledgebases.

Authors:  Parul Gupta; Sushma Naithani; Justin Preece; Sunghwan Kim; Tiejun Cheng; Peter D'Eustachio; Justin Elser; Evan E Bolton; Pankaj Jaiswal
Journal:  Methods Mol Biol       Date:  2022

Review 2.  Mapping Major Disease Resistance Genes in Soybean by Genome-Wide Association Studies.

Authors:  Everton Geraldo Capote Ferreira; Francismar Corrêa Marcelino-Guimarães
Journal:  Methods Mol Biol       Date:  2022

3.  GrainGenes: a data-rich repository for small grains genetics and genomics.

Authors:  Eric Yao; Victoria C Blake; Laurel Cooper; Charlene P Wight; Steve Michel; H Busra Cagirici; Gerard R Lazo; Clay L Birkett; David J Waring; Jean-Luc Jannink; Ian Holmes; Amanda J Waters; David P Eickholt; Taner Z Sen
Journal:  Database (Oxford)       Date:  2022-05-25       Impact factor: 4.462

4.  A soybean non-coding RNA mining and co-expression resource based on 1,596 RNA-seq and small RNA-seq libraries.

Authors:  Xueai Zhu; Baoyi Zhang; Fanqi Gao; Fang Huang; Hongsheng Zhang; Ji Huang
Journal:  Plant Physiol       Date:  2022-08-01       Impact factor: 8.005

5.  The 2021 Nucleic Acids Research database issue and the online molecular biology database collection.

Authors:  Daniel J Rigden; Xosé M Fernández
Journal:  Nucleic Acids Res       Date:  2021-01-08       Impact factor: 16.971

6.  Integration of genome-wide association studies and gene coexpression networks unveils promising soybean resistance genes against five common fungal pathogens.

Authors:  Fabricio Almeida-Silva; Thiago M Venancio
Journal:  Sci Rep       Date:  2021-12-27       Impact factor: 4.379

7.  Genome-Wide Identification and Characterization of Soybean GmLOR Gene Family and Expression Analysis in Response to Abiotic Stresses.

Authors:  Yisheng Fang; Dong Cao; Hongli Yang; Wei Guo; Wenqi Ouyang; Haifeng Chen; Zhihui Shan; Zhonglu Yang; Shuilian Chen; Xia Li; Limiao Chen; Xinan Zhou
Journal:  Int J Mol Sci       Date:  2021-11-19       Impact factor: 5.923

8.  Photosynthesis-related genes induce resistance against soybean mosaic virus: Evidence for involvement of the RNA silencing pathway.

Authors:  John Bwalya; Mazen Alazem; Kook-Hyung Kim
Journal:  Mol Plant Pathol       Date:  2021-12-28       Impact factor: 5.663

9.  Large-Scale Integrative Analysis of Soybean Transcriptome Using an Unsupervised Autoencoder Model.

Authors:  Lingtao Su; Chunhui Xu; Shuai Zeng; Li Su; Trupti Joshi; Gary Stacey; Dong Xu
Journal:  Front Plant Sci       Date:  2022-03-03       Impact factor: 5.753

Review 10.  Progress in soybean functional genomics over the past decade.

Authors:  Min Zhang; Shulin Liu; Zhao Wang; Yaqin Yuan; Zhifang Zhang; Qianjin Liang; Xia Yang; Zongbiao Duan; Yucheng Liu; Fanjiang Kong; Baohui Liu; Bo Ren; Zhixi Tian
Journal:  Plant Biotechnol J       Date:  2021-08-25       Impact factor: 9.803

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