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      Depth wide distribution and metabolic potential of chemolithoautotrophic microorganisms reactivated from deep continental granitic crust underneath the Deccan Traps at Koyna, India

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          Abstract

          Characterization of inorganic carbon (C) utilizing microorganisms from deep crystalline rocks is of major scientific interest owing to their crucial role in global carbon and other elemental cycles. In this study we investigate the microbial populations from the deep [up to 2,908 meters below surface (mbs)] granitic rocks within the Koyna seismogenic zone, reactivated (enriched) under anaerobic, high temperature (50°C), chemolithoautotrophic conditions. Subsurface rock samples from six different depths (1,679–2,908 mbs) are incubated (180 days) with CO 2 (+H 2) or HCO 3 as the sole C source. Estimation of total protein, ATP, utilization of NO 3 - and SO 4 2− and 16S rRNA gene qPCR suggests considerable microbial growth within the chemolithotrophic conditions. We note a better response of rock hosted community towards CO 2 (+H 2) over HCO 3 . 16S rRNA gene amplicon sequencing shows a depth-wide distribution of diverse chemolithotrophic (and a few fermentative) Bacteria and Archaea. Comamonas, Burkholderia-Caballeronia-Paraburkholderia, Ralstonia, Klebsiella, unclassified Burkholderiaceae and Enterobacteriaceae are reactivated as dominant organisms from the enrichments of the deeper rocks (2335–2,908 mbs) with both CO 2 and HCO 3 . For the rock samples from shallower depths, organisms of varied taxa are enriched under CO 2 (+H 2) and HCO 3 . Pseudomonas, Rhodanobacter, Methyloversatilis, and Thaumarchaeota are major CO 2 (+H 2) utilizers, while Nocardioides, Sphingomonas, Aeromonas, respond towards HCO 3 . H 2 oxidizing Cupriavidus, Hydrogenophilus, Hydrogenophaga, CO 2 fixing Cyanobacteria Rhodobacter, Clostridium, Desulfovibrio and methanogenic archaea are also enriched. Enriched chemolithoautotrophic members show good correlation with CO 2, CH 4 and H 2 concentrations of the native rock environments, while the organisms from upper horizons correlate more to NO 3 , SO 4 2− , Fe and TIC levels of the rocks. Co-occurrence networks suggest close interaction between chemolithoautotrophic and chemoorganotrophic/fermentative organisms. Carbon fixing 3-HP and DC/HB cycles, hydrogen, sulfur oxidation, CH 4 and acetate metabolisms are predicted in the enriched communities. Our study elucidates the presence of live, C and H 2 utilizing Bacteria and Archaea in deep subsurface granitic rocks, which are enriched successfully. Significant impact of depth and geochemical controls on relative distribution of various chemolithotrophic species enriched and their C and H 2 metabolism are highlighted. These endolithic microorganisms show great potential for answering the fundamental questions of deep life and their exploitation in CO 2 capture and conversion to useful products.

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              MEGA11: Molecular Evolutionary Genetics Analysis Version 11

              The Molecular Evolutionary Genetics Analysis (MEGA) software has matured to contain a large collection of methods and tools of computational molecular evolution. Here, we describe new additions that make MEGA a more comprehensive tool for building timetrees of species, pathogens, and gene families using rapid relaxed-clock methods. Methods for estimating divergence times and confidence intervals are implemented to use probability densities for calibration constraints for node-dating and sequence sampling dates for tip-dating analyses. They are supported by new options for tagging sequences with spatiotemporal sampling information, an expanded interactive Node Calibrations Editor , and an extended Tree Explorer to display timetrees. Also added is a Bayesian method for estimating neutral evolutionary probabilities of alleles in a species using multispecies sequence alignments and a machine learning method to test for the autocorrelation of evolutionary rates in phylogenies. The computer memory requirements for the maximum likelihood analysis are reduced significantly through reprogramming, and the graphical user interface has been made more responsive and interactive for very big data sets. These enhancements will improve the user experience, quality of results, and the pace of biological discovery. Natively compiled graphical user interface and command-line versions of MEGA11 are available for Microsoft Windows, Linux, and macOS from www.megasoftware.net .
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                Author and article information

                Contributors
                Journal
                Front Microbiol
                Front Microbiol
                Front. Microbiol.
                Frontiers in Microbiology
                Frontiers Media S.A.
                1664-302X
                24 November 2022
                2022
                : 13
                : 1018940
                Affiliations
                [1] 1Environmental Microbiology and Biotechnology Laboratory, Department of Biotechnology, National Institute of Technology Durgapur , Durgapur, WB, India
                [2] 2Environmental Microbiology and Genomics Laboratory, Department of Biotechnology, Indian Institute of Technology Kharagpur , Kharagpur, WB, India
                Author notes

                Edited by: Malin Bomberg, VTT Technical Research Centre of Finland Ltd, Finland

                Reviewed by: D'Arcy Renee Meyer-Dombard, University of Illinois at Chicago, United States; Matthew Selensky, Northwestern University, United States

                *Correspondence: Sufia Khannam Kazy, sufia.kazy@ 123456bt.nitdgp.ac.in

                This article was submitted to Terrestrial Microbiology, a section of the journal Frontiers in Microbiology

                Article
                10.3389/fmicb.2022.1018940
                9731672
                36504802
                f6685774-16f3-4453-b394-bb4483bfdf57
                Copyright © 2022 Mandal, Bose, Ramesh, Sahu, Saha, Sar and Kazy.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 14 August 2022
                : 01 November 2022
                Page count
                Figures: 8, Tables: 4, Equations: 0, References: 136, Pages: 23, Words: 15793
                Categories
                Microbiology
                Original Research

                Microbiology & Virology
                koyna seismogenic zone,terrestrial subsurface granitic rock,deep biosphere,inorganic carbon metabolism,chemolithotrophic microorganisms

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