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Novel clostridial lineages recovered from metagenomes of a hot oil reservoir
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Novel clostridial lineages recovered from metagenomes of a hot oil reservoir
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Novel clostridial lineages recovered from metagenomes of a hot oil reservoir
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Journal Article
Novel clostridial lineages recovered from metagenomes of a hot oil reservoir
2020
Overview
Oil reservoirs have been shown to house numerous microbial lineages that differ based on the
in-situ
pH, salinity and temperature of the subsurface environment. Lineages of Firmicutes, including Clostridiales, have been frequently detected in oil reservoirs, but are typically not considered impactful or relevant due to their spore-forming nature. Here we show, using metagenomics, a high temperature oil reservoir of marine salinity contains a microbial population that is predominantly from within the Order Clostridiales. These organisms form an oil-reservoir specific clade based on the phylogenies of both 16S rRNA genes and ribosomal proteins, which we propose to name
U
Petromonas tenebris
, meaning they are single-celled organisms from dark rocks. Metagenome-assembled genomes (MAGs) of these
Petromonas
sp. were obtained and used to determine that these populations, while capable of spore-formation, were also likely replicating
in situ
in the reservoir. We compared these MAGs to closely related genomes and show that these subsurface Clostridiales differ, from the surface derived genomes, showing signatures of the ability to degrade plant-related compounds, whereas subsurface genomes only show the ability to process simple sugars. The estimation of
in-situ
replication from genomic data suggest that
U
Petromonas tenebris
lineages are functional
in-situ
and may be specifically adapted to inhabit oil reservoirs.
Publisher
Nature Publishing Group UK,Nature Publishing Group
Subject
/ Carbohydrate Metabolism - genetics
/ Clostridium - classification
/ Computational Biology - methods
/ Gene Expression Regulation, Bacterial
/ Gene Expression Regulation, Enzymologic
/ Genomes
/ Humanities and Social Sciences
/ Oil
/ Oil and Gas Fields - microbiology
/ rRNA 16S
/ Salinity
/ Science
