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Statistical Analysis of Community RNA Transcripts between Organic Carbon and Geogas-Fed Continental Deep Biosphere Groundwaters
Linnaeus University, Faculty of Health and Life Sciences, Department of Biology and Environmental Science. Helmholtz Zentrum Dresden Rossendorf, Germany. (Ctr Ecol & Evolut Microbial Model Syst EEMiS)ORCID iD: 0000-0003-3588-6676
Linnaeus University, Faculty of Health and Life Sciences, Department of Biology and Environmental Science. Stockholm University, Sweden. (Ctr Ecol & Evolut Microbial Model Syst EEMiS)ORCID iD: 0000-0001-9005-5168
Linnaeus University, Faculty of Health and Life Sciences, Department of Biology and Environmental Science. Swedish University of Agricultural Sciences, Sweden. (Ctr Ecol & Evolut Microbial Model Syst EEMiS)
Uppsala University, Sweden;Swedish University of Agricultural Sciences, Sweden.
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2019 (English)In: mBio, ISSN 2161-2129, E-ISSN 2150-7511, Vol. 10, no 4, p. 1-6, article id e01470-19Article in journal (Refereed) Published
Abstract [en]

Life in water-filled bedrock fissures in the continental deep biosphere is broadly constrained by energy and nutrient availability. Although these communities are alive, robust studies comparing active populations and metabolic processes across deep aquifers are lacking. This study analyzed three oligotrophic Fennoscandian Shield groundwaters, two "modern marine" waters that are replenished with organic carbon from the Baltic Sea and are likely less than 20 years old (171.3 and 415.4 m below sea level) and an extremely oligotrophic "thoroughly mixed" water (448.8 m below sea level) of unknown age that is composed of very old saline and marine waters. Cells were captured either using a sampling device that rapidly fixed RNA under in situ conditions or by filtering flowing groundwater over an extended period before fixation. Comparison of metatranscriptomes between the methods showed statistically similar transcript profiles for the respective water types, and they were analyzed as biological replicates. Study of the small subunit (SSU) rRNA confirmed active populations from all three domains of life, with many potentially novel unclassified populations present. Statistically supported differences between communities included heterotrophic sulfate-reducing bacteria in the modern marine water at 171.3 m below sea level that has a higher organic carbon content than do largely autotrophic populations in the H-2- and CO2-fed thoroughly mixed water. While this modern marine water had signatures of methanogenesis, syntrophic populations were predominantly in the thoroughly mixed water. The study provides a first statistical evaluation of differences in the active microbial communities in groundwaters differentially fed by organic carbon or "geogases." IMPORTANCE Despite being separated from the photosynthesis-driven surface by both distance and time, the deep biosphere is an important driver for the earth's carbon and energy cycles. However, due to the difficulties in gaining access and low cell numbers, robust statistical omits studies have not been carried out, and this limits the conclusions that can be drawn. This study benchmarks the use of two separate sampling systems and demonstrates that they provide statistically similar RNA transcript profiles, importantly validating several previously published studies. The generated data are analyzed to identify statistically valid differences in active microbial community members and metabolic processes. The results highlight contrasting taxa and growth strategies in the modern marine waters that are influenced by recent infiltration of Baltic Sea water versus the hydrogen- and carbon dioxide-fed, extremely oligotrophic, thoroughly mixed water.

Place, publisher, year, edition, pages
American Society of Microbiology , 2019. Vol. 10, no 4, p. 1-6, article id e01470-19
Keywords [en]
deep biosphere, groundwaters, metatranscriptomes, protein-coding RNA, rRNA
National Category
Microbiology
Research subject
Ecology, Microbiology
Identifiers
URN: urn:nbn:se:lnu:diva-88841DOI: 10.1128/mBio.01470-19ISI: 000481617000077PubMedID: 31409677OAI: oai:DiVA.org:lnu-88841DiVA, id: diva2:1346923
Available from: 2019-08-29 Created: 2019-08-29 Last updated: 2019-08-29Bibliographically approved

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Lopez-Fernandez, MargaritaBroman, EliasSimone, DomenicoDopson, Mark

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