A global perspective on bacterial diversity in the terrestrial deep subsurface

A. Soares, A. Edwards (Corresponding Author), D. An, A. Bagnoud, J. Bradley, E. Barnhart, M. Bomberg, K. Budwill, S. M. Caffrey, M. Fields, J. Gralnick, V. Kadnikov, L. Momper, M. Osburn, A. Mu, J. W. Moreau, D. Moser, L. Purkamo, S. M. Rassner, C. S. SheikB. Sherwood Lollar, B. M. Toner, G. Voordouw, K. Wouters, A. C. Mitchell (Corresponding Author)

Research output: Contribution to journalArticleScientificpeer-review

4 Citations (Scopus)

Abstract

While recent efforts to catalogue Earth’s microbial diversity have focused upon surface and marine habitats, 12–20% of Earth’s biomass is suggested to exist in the terrestrial deep subsurface, compared to ~1.8% in the deep subseafloor. Metagenomic studies of the terrestrial deep subsurface have yielded a trove of divergent and functionally important microbiomes from a range of localities. However, a wider perspective of microbial diversity and its relationship to environmental conditions within the terrestrial deep subsurface is still required. Our meta-analysis reveals that terrestrial deep subsurface microbiota are dominated by Betaproteobacteria, Gammaproteobacteria and Firmicutes, probably as a function of the diverse metabolic strategies of these taxa. Evidence was also found for a common small consortium of prevalent Betaproteobacteria and Gammaproteobacteria operational taxonomic units across the localities. This implies a core terrestrial deep subsurface community, irrespective of aquifer lithology, depth and other variables, that may play an important role in colonizing and sustaining microbial habitats in the deep terrestrial subsurface. An in silico contamination-aware approach to analysing this dataset underscores the impor-tance of downstream methods for assuring that robust conclusions can be reached from deep subsurface-derived sequencing data. Understanding the global panorama of microbial diversity and ecological dynamics in the deep terrestrial subsurface provides a first step towards understanding the role of microbes in global subsurface element and nutrient cycling.

Original languageEnglish
Article number001172
Number of pages10
JournalMicrobiology
Volume169
Issue number1
DOIs
Publication statusPublished - Jan 2023
MoE publication typeA1 Journal article-refereed

Keywords

  • 16S rRNA gene
  • bacterial
  • deep subsurface
  • meta-analysis
  • Metagenomics
  • Bacteria/genetics
  • Gammaproteobacteria
  • Biomass
  • RNA, Ribosomal, 16S
  • Water Microbiology
  • Microbiota/genetics

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