mMGE
mMGE catalogs and annotates extrachromosomal mobile genetic elements (eMGEs) in human metagenomes, providing a curated resource of their sequences, taxonomy, gene content, prevalence, and host associations.
Key Features:
- Non-redundant catalog: Contains 517,251 non-redundant eMGEs derived from 66,425 human metagenomic samples from diverse body sites.
- Composition: Distinguishes 92,492 plasmids and 424,759 phages within the catalog.
- Clustering: Organizes approximately half of the eMGEs into 70,074 clusters using relaxed clustering criteria.
- Annotations: Provides sequence characteristics, taxonomy affiliations, gene contents, and associated prokaryotic hosts for each eMGE.
- Prevalence metrics: Computes prevalence of individual eMGEs and of clusters within and across samples.
Scientific Applications:
- eMGE distribution analysis: Compare abundance and distribution of eMGEs across human body sites and metagenomic samples.
- Host–element association studies: Investigate associations between eMGEs and prokaryotic hosts inferred from annotations.
- Phenotype association: Explore potential associations between eMGEs (or clusters) and human phenotypes or distribution preferences.
- Evolutionary and community impact: Study roles of phages and plasmids in genome evolution and microbial community structuring via horizontal transfer.
Methodology:
Compiled a non-redundant catalog from 66,425 human metagenomic samples; grouped ~50% of eMGEs into 70,074 clusters based on relaxed criteria; annotated each eMGE for sequence characteristics, taxonomy, gene content, and associated prokaryotic hosts; and calculated prevalence of individual eMGEs and clusters within and across samples.
Topics
Details
- Tool Type:
- web application
- Added:
- 1/18/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Lai S, Jia L, Subramanian B, Pan S, Zhang J, Dong Y, Chen W, Zhao X. mMGE: a database for human metagenomic extrachromosomal mobile genetic elements. Nucleic Acids Research. 2020;49(D1):D783-D791. doi:10.1093/nar/gkaa869. PMID:33074335. PMCID:PMC7778953.