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      Complex organic matter degradation by secondary consumers in chemolithoautotrophy-based subsurface geothermal ecosystems

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          Abstract

          Microbial communities in terrestrial geothermal systems often contain chemolithoautotrophs with well-characterized distributions and metabolic capabilities. However, the extent to which organic matter produced by these chemolithoautotrophs supports heterotrophs remains largely unknown. Here we compared the abundance and activity of peptidases and carbohydrate active enzymes (CAZymes) that are predicted to be extracellular identified in metagenomic assemblies from 63 springs in the Central American and the Andean convergent margin (Argentinian backarc of the Central Volcanic Zone), as well as the plume-influenced spreading center in Iceland. All assemblies contain two orders of magnitude more peptidases than CAZymes, suggesting that the microorganisms more often use proteins for their carbon and/or nitrogen acquisition instead of complex sugars. The CAZy families in highest abundance are GH23 and CBM50, and the most abundant peptidase families are M23 and C26, all four of which degrade peptidoglycan found in bacterial cells. This implies that the heterotrophic community relies on autochthonous dead cell biomass, rather than allochthonous plant matter, for organic material. Enzymes involved in the degradation of cyanobacterial- and algal-derived compounds are in lower abundance at every site, with volcanic sites having more enzymes degrading cyanobacterial compounds and non-volcanic sites having more enzymes degrading algal compounds. Activity assays showed that many of these enzyme classes are active in these samples. High temperature sites (> 80°C) had similar extracellular carbon-degrading enzymes regardless of their province, suggesting a less well-developed population of secondary consumers at these sites, possibly connected with the limited extent of the subsurface biosphere in these high temperature sites. We conclude that in < 80°C springs, chemolithoautotrophic production supports heterotrophs capable of degrading a wide range of organic compounds that do not vary by geological province, even though the taxonomic and respiratory repertoire of chemolithoautotrophs and heterotrophs differ greatly across these regions.

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          Most cited references81

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            Fast gapped-read alignment with Bowtie 2.

            As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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              Prokka: rapid prokaryotic genome annotation.

              T Seemann (2014)
              The multiplex capability and high yield of current day DNA-sequencing instruments has made bacterial whole genome sequencing a routine affair. The subsequent de novo assembly of reads into contigs has been well addressed. The final step of annotating all relevant genomic features on those contigs can be achieved slowly using existing web- and email-based systems, but these are not applicable for sensitive data or integrating into computational pipelines. Here we introduce Prokka, a command line software tool to fully annotate a draft bacterial genome in about 10 min on a typical desktop computer. It produces standards-compliant output files for further analysis or viewing in genome browsers. Prokka is implemented in Perl and is freely available under an open source GPLv2 license from http://vicbioinformatics.com/. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: MethodologyRole: ResourcesRole: SoftwareRole: Writing – review & editing
                Role: Data curationRole: MethodologyRole: ResourcesRole: SoftwareRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: Data curationRole: MethodologyRole: ResourcesRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: ResourcesRole: SoftwareRole: SupervisionRole: Writing – review & editing
                Role: Funding acquisitionRole: ResourcesRole: SoftwareRole: SupervisionRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: Funding acquisitionRole: ResourcesRole: SoftwareRole: SupervisionRole: Writing – review & editing
                Role: Funding acquisitionRole: ResourcesRole: SoftwareRole: SupervisionRole: Writing – review & editing
                Role: Funding acquisitionRole: ResourcesRole: SoftwareRole: SupervisionRole: Writing – review & editing
                Role: Funding acquisitionRole: ResourcesRole: SoftwareRole: SupervisionRole: Writing – review & editing
                Role: Funding acquisitionRole: ResourcesRole: SoftwareRole: SupervisionRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: ResourcesRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: ResourcesRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                18 August 2023
                2023
                : 18
                : 8
                : e0281277
                Affiliations
                [1 ] Microbiology Department, University of Tennessee, Knoxville, TN, United States of America
                [2 ] Department of Biology, University of Naples “Federico II”, Naples, Italy
                [3 ] Observatorio Volcanológico y Sismológico de Costa Rica (OVSICORI) Universidad Nacional, Heredia, Costa Rica
                [4 ] Department of Earth and Planetary Sciences, University of New Mexico, Albuquerque, NM, United States of America
                [5 ] Instituto de Bio y Geociencias del NOA (IBIGEO, UNSa-CONICET), Salta, Argentina
                [6 ] NordVulk, Institute of Earth Sciences, University of Iceland, Reykjavík, Iceland
                [7 ] Servicio Geologico Ambiental, Heredia, Costa Rica
                [8 ] Instituto de Ciencias Marinas y Limnológicas, Universidad Austral de Chile, Valdivia, Chile
                [9 ] Center for Oceanographic Research COPAS COASTAL, Universidad de Concepción, Concepción, Chile
                [10 ] Marine Chemistry & Geochemistry Department, Woods Hole Oceanographic Institution, Woods Hole, MA, United States of America
                [11 ] National Research Council–Institute of Marine Biological Resources and Biotechnologies—CNR-IRBIM, Ancona, Italy
                [12 ] Department of Marine and Coastal Science, Rutgers University, New Brunswick, NJ, United States of America
                [13 ] Earth-Life Science Institute, Tokyo Institute of Technology, Tokyo, Japan
                University of Nebraska-Lincoln, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-6413-082X
                https://orcid.org/0000-0003-4297-4332
                https://orcid.org/0000-0002-6960-1555
                https://orcid.org/0000-0003-0914-6375
                Article
                PONE-D-23-01640
                10.1371/journal.pone.0281277
                10437873
                37594978
                1f0f65b1-72f2-49cf-8065-8ad7164737d4
                © 2023 Paul et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 18 January 2023
                : 30 July 2023
                Page count
                Figures: 7, Tables: 3, Pages: 26
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000879, Alfred P. Sloan Foundation;
                Award ID: G-2016-7206
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000085, Directorate for Geosciences;
                Award ID: NSF-EAR 2121670
                Award Recipient :
                Funded by: Census of Deep Life
                Award ID: NSF-OCE-2151015
                Award Recipient :
                Funded by: Census of Deep Life
                Award ID: NSF-OCE-2151015
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000155, Division of Environmental Biology;
                Award ID: NSF-DEB 2132774
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000893, Simons Foundation;
                Award ID: 404586
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100002850, Fondo Nacional de Desarrollo Científico y Tecnológico;
                Award ID: 11191138
                Award Recipient :
                This work was supported by funding from the Deep Carbon Observatory at the Alfred P. Sloan Foundation (G-2016-7206), the Census of Deep Life, NSF-EAR 2121670 to K.G.L., D.G., M.dM., and P.H.B., NSF-OCE-2151015 to K.G.L. and P.H.B., NSF-DEB 2132774 and Simons Foundation 404586 to K.G.L., FONDECYT Grant 11191138 (ANID Chile) to G.L.J. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Earth Sciences
                Geology
                Volcanology
                Volcanoes
                Earth Sciences
                Geology
                Petrology
                Sediment
                Earth Sciences
                Geology
                Sedimentary Geology
                Sediment
                Biology and Life Sciences
                Biochemistry
                Enzymology
                Enzymes
                Proteases
                Biology and Life Sciences
                Biochemistry
                Proteins
                Enzymes
                Proteases
                Biology and Life Sciences
                Biochemistry
                Enzymology
                Enzymes
                Hydrolases
                Biology and Life Sciences
                Biochemistry
                Proteins
                Enzymes
                Hydrolases
                Physical Sciences
                Chemistry
                Polymer Chemistry
                Macromolecules
                Polymers
                Peptidoglycans
                Physical Sciences
                Materials Science
                Materials
                Polymers
                Peptidoglycans
                Physical Sciences
                Chemistry
                Polymer Chemistry
                Polymers
                Peptidoglycans
                Earth Sciences
                Geology
                Biology and Life Sciences
                Genetics
                Genomics
                Metagenomics
                Research and Analysis Methods
                Bioassays and Physiological Analysis
                Biochemical Analysis
                Enzyme Assays
                Custom metadata
                Data is available in the NCBI SRA with project ID PRJNA627197 and project ID PRJNA914269. Iceland assemblies metagenomic workflow is available on Kbase at https://narrative.kbase.us/narrative/107494. Scripts used in R studio are available on github at rpaul5/terrestrial-geothermal-systems.

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