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Published June 2020 | public
Journal Article

Genome repository of oil systems: An interactive and searchable database that expands the catalogued diversity of crude oil‐associated microbes

Abstract

Microbial communities ultimately control the fate of petroleum hydrocarbons (PHCs) that enter the natural environment, but the interactions of microbes with PHCs and the environment are highly complex and poorly understood. Genome-resolved metagenomics can help unravel these complex interactions. However, the lack of a comprehensive database that integrates existing genomic/metagenomic data from oil environments with physicochemical parameters known to regulate the fate of PHCs currently limits data analysis and interpretations. Here, we curated a comprehensive, searchable database that documents microbial populations in natural oil ecosystems and oil spills, along with available underlying physicochemical data, geocoded via geographic information system to reveal their geographic distribution patterns. Analysis of the ~2000 metagenome-assembled genomes (MAGs) available in the database revealed strong ecological niche specialization within habitats. Over 95% of the recovered MAGs represented novel taxa underscoring the limited representation of cultured organisms from oil-contaminated and oil reservoir ecosystems. The majority of MAGs linked to oil-contaminated ecosystems were detectable in non-oiled samples from the Gulf of Mexico but not in comparable samples from elsewhere, indicating that the Gulf is primed for oil biodegradation. The repository should facilitate future work toward a predictive understanding of the microbial taxa and their activities that control the fate of oil spills.

Additional Information

This research was made possible by grants from The Gulf of Mexico Research Initiative (RFP V Grant No 321611-00 as well as grants to the C-IMAGE II, C-IMAGE III, and Deep-C consortia). Data are publicly available at http://microbial-genomes.org/. Associated NCBI accession numbers have also been provided where applicable (Supporting Information Table S1 as well as in the MiGA webserver). The authors would also like to thank Ramachandra Sivakumar from the Center for Spatial Planning Analytics and Visualization (CSPAV) at Georgia Institute of Technology for his valuable input with the incorporation of GIS layers into the webserver. The authors declare no conflict of interest.

Additional details

Created:
August 22, 2023
Modified:
October 24, 2023