AnimalMetaOmics: a multi-omics data resources for exploring animal microbial genomes and microbiomes

Author:

Hu Ruirui1,Li Fulin1,Chen Yifan23,Liu Chuyang1,Li Jiawei23,Ma Zhongchen4,Wang Yue1,Cui Chaowen1,Luo Chengfang23,Zhou Ping2,Ni Wei1,Yang Qing-Yong23ORCID,Hu Shengwei1ORCID

Affiliation:

1. College of Life Sciences, Shihezi University , Shihezi , Xinjiang  832003 , China

2. State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science , Xinjiang  832003 , China

3. Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University , Wuhan  430070 , China

4. College of Animal Science and Technology, Shihezi University , Shihezi , Xinjiang  832003 , China

Abstract

Abstract The Animal Meta-omics landscape database (AnimalMetaOmics, https://yanglab.hzau.edu.cn/animalmetaomics#/) is a comprehensive and freely available resource that includes metagenomic, metatranscriptomic, and metaproteomic data from various non-human animal species and provides abundant information on animal microbiomes, including cluster analysis of microbial cognate genes, functional gene annotations, active microbiota composition, gene expression abundance, and microbial protein identification. In this work, 55 898 microbial genomes were annotated from 581 animal species, including 42 924 bacterial genomes, 12 336 virus genomes, 496 archaea genomes and 142 fungi genomes. Moreover, 321 metatranscriptomic datasets were analyzed from 31 animal species and 326 metaproteomic datasets from four animal species, as well as the pan-genomic dynamics and compositional characteristics of 679 bacterial species and 13 archaea species from animal hosts. Researchers can efficiently access and acquire the information of cross-host microbiota through a user-friendly interface, such as species, genomes, activity levels, expressed protein sequences and functions, and pan-genome composition. These valuable resources provide an important reference for better exploring the classification, functional diversity, biological process diversity and functional genes of animal microbiota.

Funder

Foundation of state key laboratory of sheep genetic improvement and healthy production

Tianshan Talent Project

The Tird Xinjiang Scientifc Expedition Program

Publisher

Oxford University Press (OUP)

Subject

Genetics

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