bioRxivMicrobiologyPreprint
Geological processes mediate a subsurface microbial loop in the deep biosphere
D. Gittins, P.-A. Desiage, N. Morrison, J. E. Rattray, S. Bhatnagar, A. Chakraborty, J. Zorz, O. Horanszky, M. A. Cramm, J. Webb, A. MacDonald, M. Fowler, C. Campbell, C. R. Hubert
Abstract
Summary paragraphThe deep biosphere is the largest microbial habitat on Earth and features abundant bacterial endospores1,2. Whereas dormancy and survival at theoretical energy minima are hallmarks of subsurface microbial populations3, the roles of fundamental ecological processes like dispersal and selection in these environments are poorly understood4. Here we combine geophysics, geochemistry, microbiology and genomics to investigate biogeography in the subsurface, focusing on bacterial endospores in a deep-sea setting characterized by thermogenic hydrocarbon seepage. Thermophilic endospores in permanently cold seabed sediments above petroleum seep conduits were correlated with the presence of hydrocarbons, revealing geofluid-facilitated cell migration pathways originating in deep oil reservoirs. Genomes of thermophilic bacteria highlight adaptations to life in anoxic petroleum systems and reveal that these dormant populations are closely related to oil reservoir microbiomes from around the world. After transport out of the subsurface and into the deep-sea, thermophilic endospores re-enter the geosphere by sedimentation. Viable thermophilic endospores spanning the top several metres of the seabed correspond with total endospore counts that are similar to or exceed the global average. Burial of dormant cells enables their environmental selection in sedimentary formations where new petroleum systems establish, completing a geological microbial loop that circulates living biomass in and out of the deep biosphere.
- assay: metagenomics
- assay: proteomics
- research focus: ecology & biodiversity
- research focus: cell type annotation
- research focus: clustering
- research focus: trajectory inference
- approach: experimental assay
- approach: genetic perturbation / CRISPR
- approach: microscopy & imaging analysis
- approach: statistical model
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