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CottonMD: a multi-omics database for cotton biological study

文献类型: 外文期刊

作者: Yang, Zhiquan 1 ; Wang, Jing 1 ; Huang, Yiming 1 ; Wang, Shengbo 1 ; Wei, Lulu 1 ; Liu, Dongxu 1 ; Weng, Yonglin 2 ; Xiang, Jinhai 2 ; Zhu, Qiang 1 ; Yang, Zhaoen 3 ; Nie, Xinhui 4 ; Yu, Yu 5 ; Yang, Zuoren 3 ; Yang, Qing-Yong 1 ;

作者机构: 1.Huazhong Agr Univ, Coll Informat, Natl Key Lab Crop Genet Improvement, Wuhan 430070, Peoples R China

2.Huazhong Agr Univ, Coll Informat, Hubei Key Lab Agr Bioinformat, Wuhan 430070, Peoples R China

3.Chinese Acad Agr Sci, State Key Lab Cotton Biol, Inst Cotton Res, Anyang 455000, Peoples R China

4.Shihezi Univ, Agr Coll, Key Lab Oasis Ecol Agr Xinjiang Bingtuan, Shihezi 832000, Xinjiang, Peoples R China

5.Xinjiang Acad Agr & Reclamat Sci, Shihezi 832000, Xinjiang, Peoples R China

6.Guangzhou Univ, Innovat Ctr Mol Genet & Evolut, Sch Life Sci, Guangzhou 510405, Peoples R China

期刊名称:NUCLEIC ACIDS RESEARCH ( 影响因子:19.16; 五年影响因子:17.21 )

ISSN: 0305-1048

年卷期:

页码:

收录情况: SCI

摘要: Cotton is an important economic crop, and many loci for important traits have been identified, but it remains challenging and time-consuming to identify candidate or causal genes/variants and clarify their roles in phenotype formation and regulation. Here, we first collected and integrated the multi-omics datasets including 25 genomes, transcriptomes in 76 tissue samples, epigenome data of five species and metabolome data of 768 metabolites from four tissues, and genetic variation, trait and transcriptome datasets from 4180 cotton accessions. Then, a cotton multi-omics database (CottonMD, ) was constructed. In CottonMD, multiple statistical methods were applied to identify the associations between variations and phenotypes, and many easy-to-use analysis tools were provided to help researchers quickly acquire the related omics information and perform multi-omics data analysis. Two case studies demonstrated the power of CottonMD for identifying and analyzing the candidate genes, as well as the great potential of integrating multi-omics data for cotton genetic breeding and functional genomics research.

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