MCycDB
MCycDB catalogs methane-cycling gene families and reference sequences to enable profiling and taxonomic assignment of methane metabolism across environmental microbiomes and linkages to carbon, nitrogen, sulfur, and metal biogeochemical cycles.
Key Features:
- Gene family coverage: Contains 298 methane cycling gene families spanning 10 distinct methane metabolic pathways.
- Sequence collection: Includes 610,208 representative sequences alongside reference sequences sourced from the NCBI RefSeq database.
- Taxonomic breadth: Covers 48 phyla and 2,197 genera, with specific representation of five bacterial phyla and 100 archaeal genera.
- Orthology integration: Integrates homologous groups identified from public orthology databases to reduce false positive assignments and improve specificity.
- Biogeochemical scope: Supports analysis of methane metabolism in the context of carbon, nitrogen, sulfur, and metal cycles.
Scientific Applications:
- Microbial community profiling: Enables profiling of methane-cycling microbial communities across diverse environmental samples.
- Methanogenesis detection: Has been used to identify abundance of methanogenesis-related gene families in hot spring sediments.
- Aerobic methane oxidation detection: Has been used to detect prevalence of aerobic methane oxidation genes in permafrost and peatland environments.
Methodology:
Compilation of representative sequences and reference sequences from NCBI RefSeq and integration of homologous groups from public orthology databases to reduce false positives and increase assignment specificity.
Topics
Details
- License:
- Not licensed
- Cost:
- Free of charge
- Tool Type:
- command-line tool, web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Perl
- Added:
- 6/20/2022
- Last Updated:
- 6/20/2022
Operations
Publications
Qian L, Yu X, Zhou J, Gu H, Ding J, Peng Y, He Q, Tian Y, Liu J, Wang S, Wang C, Shu L, Yan Q, He J, Liu G, Tu Q, He Z. MCycDB: A curated database for comprehensively profiling methane cycling processes of environmental microbiomes. Molecular Ecology Resources. 2022;22(5):1803-1823. doi:10.1111/1755-0998.13589. PMID:35080120.