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.

PMID: 33074335
PMCID: PMC7778953
Funding: - National Natural Science Foundation of China: 61772368, 61932008 - Shanghai Municipal Science and Technology Major Project: 2018SHZDZX01 - Shanghai Science and Technology Innovation Fund: 19511101404 - National Key Research and Development Program of China: 2018YFC0910502, 2018YFC0910503, 2019YFA0905601