2021
DOI: 10.1038/s41467-021-24549-z
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Energy efficiency and biological interactions define the core microbiome of deep oligotrophic groundwater

Abstract: While oligotrophic deep groundwaters host active microbes attuned to the low-end of the bioenergetics spectrum, the ecological constraints on microbial niches in these ecosystems and their consequences for microbiome convergence are unknown. Here, we provide a genome-resolved, integrated omics analysis comparing archaeal and bacterial communities in disconnected fracture fluids of the Fennoscandian Shield in Europe. Leveraging a dataset that combines metagenomes, single cell genomes, and metatranscriptomes, we… Show more

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Cited by 28 publications
(29 citation statements)
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References 63 publications
(60 reference statements)
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“…Identification of $40,000 small-gene families in phage contigs To predict novel small genes in phages, we first downloaded IMG/ VR (Paez-Espino et al, 2017a;Roux et al, 2021), which contains 2,377,994 viral contigs for a combined total of over 48 billion bases of DNA. This database represents a large collection of viral datasets (Bushman et al, 2019;Espı ´nola et al, 2018;Garcia et al, 2020;Gregory et al, 2019Gregory et al, , 2020Mehrshad et al, 2021;Mobilian et al, 2020;Nayfach et al, 2021a;Paez-Espino et al, 2017b, 2019Roux et al, 2019;Schulz et al, 2020). From these viral contigs, we A B Figure 1.…”
Section: Resultsmentioning
confidence: 99%
“…Identification of $40,000 small-gene families in phage contigs To predict novel small genes in phages, we first downloaded IMG/ VR (Paez-Espino et al, 2017a;Roux et al, 2021), which contains 2,377,994 viral contigs for a combined total of over 48 billion bases of DNA. This database represents a large collection of viral datasets (Bushman et al, 2019;Espı ´nola et al, 2018;Garcia et al, 2020;Gregory et al, 2019Gregory et al, , 2020Mehrshad et al, 2021;Mobilian et al, 2020;Nayfach et al, 2021a;Paez-Espino et al, 2017b, 2019Roux et al, 2019;Schulz et al, 2020). From these viral contigs, we A B Figure 1.…”
Section: Resultsmentioning
confidence: 99%
“…5 ). P. aespoeensis was originally isolated from another subsurface location in the Fennoscandian Shield (Äspö, Sweden) [ 86 ], and belongs to the core microbiome of the aquifer in this crystalline rock [ 9 ]. Peptides from the beta subunit of adenylylsulfate reductase (AprB) were also detected in the P. aespoeensis proteome (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…They are typically slow-growing, with long generation times ranging from months to years [ 2 5 ]. Despite their slow growth, they are active [ 6 9 ] and can respond to changes in subsurface conditions [ 10 , 11 ]. Understanding the drivers of microbial metabolism in the subsurface is therefore an important consideration for subsurface activities related to energy production, storage, and waste disposal.…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, the genome structures indicated a faster ability to replicate for organisms in the deep subsurface. This faster possible generation times with depth can be explained by the strategy employed by subsurface microorganisms recently termed as “halt and catch fire” 46 . This strategy refers to an adaptation to nutrient-poor environments like the deep subsurface, where organisms need to adapt to utilize short bursts of available nutrients and thus replicate fast during times when nutrients are available.…”
Section: Discussionmentioning
confidence: 99%