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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 that groundwaters flowing in similar lithologies offer fixed niches that are occupied by a common core microbiome. Functional expression analysis highlights that these deep groundwater ecosystems foster diverse, yet cooperative communities adapted to this setting. We suggest that these communities stimulate cooperation by expression of functions related to ecological traits, such as aggregate or biofilm formation, while alleviating the burden on microorganisms producing compounds or functions that provide a collective benefit by facilitating reciprocal promiscuous metabolic partnerships with other members of the community. We hypothesize that an episodic lifestyle enabled by reversible bacteriostatic functions ensures the subsistence of the oligotrophic deep groundwater microbiome.
Ecological constraints on microbial niches in oligotrophic deep groundwaters remain elusive. This study provides support for the existence of a common core microbiome in two deep groundwater biomes of the Fennoscandian Shield using a genome-resolved, integrated omics analysis.
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Details
 ; Lopez-Fernandez, Margarita 2
 
; Lopez-Fernandez, Margarita 2  
 ; Sundh, John 3
 
; Sundh, John 3  
 ; Bell, Emma 4
 
; Bell, Emma 4  
 ; Simone, Domenico 5
 
; Simone, Domenico 5  
 ; Buck, Moritz 6 ; Bernier-Latmani Rizlan 7
 
; Buck, Moritz 6 ; Bernier-Latmani Rizlan 7  
 ; Bertilsson, Stefan 1
 
; Bertilsson, Stefan 1  
 ; Dopson, Mark 8
 
; Dopson, Mark 8  
 
 
1 Uppsala University, Department of Ecology and Genetics, Limnology and Science for Life Laboratory, Uppsala, Sweden (GRID:grid.8993.b) (ISNI:0000 0004 1936 9457); Swedish University of Agricultural Sciences, Department of Aquatic Sciences and Assessment, Uppsala, Sweden (GRID:grid.6341.0) (ISNI:0000 0000 8578 2742)
2 Linnaeus University, Centre for Ecology and Evolution in Microbial Model Systems (EEMiS), Kalmar, Sweden (GRID:grid.8148.5) (ISNI:0000 0001 2174 3522); University of Granada, Department of Microbiology, Granada, Spain (GRID:grid.4489.1) (ISNI:0000000121678994)
3 Stockholm University, Dept of Biochemistry and Biophysics, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Solna, Sweden (GRID:grid.10548.38) (ISNI:0000 0004 1936 9377)
4 Environmental Microbiology Laboratory, Environmental Engineering Institute, School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland (GRID:grid.5333.6) (ISNI:0000000121839049); University of Calgary, Department of Biological Sciences, Calgary, Canada (GRID:grid.22072.35) (ISNI:0000 0004 1936 7697)
5 Linnaeus University, Centre for Ecology and Evolution in Microbial Model Systems (EEMiS), Kalmar, Sweden (GRID:grid.8148.5) (ISNI:0000 0001 2174 3522); SLU Bioinformatics Infrastructure, Swedish University of Agricultural Sciences, Uppsala, Sweden (GRID:grid.6341.0) (ISNI:0000 0000 8578 2742)
6 Swedish University of Agricultural Sciences, Department of Aquatic Sciences and Assessment, Uppsala, Sweden (GRID:grid.6341.0) (ISNI:0000 0000 8578 2742)
7 Environmental Microbiology Laboratory, Environmental Engineering Institute, School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland (GRID:grid.5333.6) (ISNI:0000000121839049)
8 Linnaeus University, Centre for Ecology and Evolution in Microbial Model Systems (EEMiS), Kalmar, Sweden (GRID:grid.8148.5) (ISNI:0000 0001 2174 3522)




