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Title: The YNP metagenome project: environmental parameters responsible for microbial distribution in the Yellowstone geothermal ecosystem

Abstract

The Yellowstone geothermal complex contains over 10,000 diverse geothermal features that host numerous phylogenetically deeply rooted and poorly understood archaea, bacteria, and viruses. Microbial communities in high-temperature environments are generally less diverse than soil, marine, sediment, or lake habitats and therefore offer a tremendous opportunity for studying the structure and function of different model microbial communities using environmental metagenomics. One of the broader goals of this study was to establish linkages among microbial distribution, metabolic potential, and environmental variables. Twenty geochemically distinct geothermal ecosystems representing a broad spectrum of Yellowstone hot-spring environments were used for metagenomic and geochemical analysis and included approximately equal numbers of: (1) phototrophic mats, (2) “filamentous streamer” communities, and (3) archaeal-dominated sediments. The metagenomes were analyzed using a suite of complementary and integrative bioinformatic tools, including phylogenetic and functional analysis of both individual sequence reads and assemblies of predominant phylotypes.This volume identifies major environmental determinants of a large number of thermophilic microbial lineages, many of which have not been fully described in the literature nor previously cultivated to enable functional and genomic analyses. Moreover, protein family abundance comparisons and in-depth analyses of specific genes and metabolic pathways relevant to these hot-spring environments reveal hallmark signatures ofmore » metabolic capabilities that parallel the distribution of phylotypes across specific types of geochemical environments.« less

Authors:
 [1];  [1];  [2];  [3];  [4]
  1. Montana State Univ., Bozeman, MT (United States). Dept. of Land Resources and Environmental Sciences; Montana State Univ., Bozeman, MT (United States). Thermal Biology Inst.
  2. USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States)
  3. Technical Univ. of Denmark, Hørsholm (Denmark). Novo Nordisk Foundation Center for Biosustainability
  4. Indiana Univ., Bloomington, IN (United States). Center for Genomics and Bioinformatics
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER). Biological Systems Science Division
OSTI Identifier:
1628082
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Frontiers in Microbiology
Additional Journal Information:
Journal Volume: 4; Journal ID: ISSN 1664-302X
Publisher:
Frontiers Research Foundation
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; Microbiology; thermophiles; geochemistry; microbial interactions; microbial mats; functional genomics

Citation Formats

Inskeep, William, Jay, Zackary J., Tringe, Susannah G., Herrgard, Markus J., and Rusch, Douglas B. The YNP metagenome project: environmental parameters responsible for microbial distribution in the Yellowstone geothermal ecosystem. United States: N. p., 2013. Web. doi:10.3389/fmicb.2013.00067.
Inskeep, William, Jay, Zackary J., Tringe, Susannah G., Herrgard, Markus J., & Rusch, Douglas B. The YNP metagenome project: environmental parameters responsible for microbial distribution in the Yellowstone geothermal ecosystem. United States. https://doi.org/10.3389/fmicb.2013.00067
Inskeep, William, Jay, Zackary J., Tringe, Susannah G., Herrgard, Markus J., and Rusch, Douglas B. Tue . "The YNP metagenome project: environmental parameters responsible for microbial distribution in the Yellowstone geothermal ecosystem". United States. https://doi.org/10.3389/fmicb.2013.00067. https://www.osti.gov/servlets/purl/1628082.
@article{osti_1628082,
title = {The YNP metagenome project: environmental parameters responsible for microbial distribution in the Yellowstone geothermal ecosystem},
author = {Inskeep, William and Jay, Zackary J. and Tringe, Susannah G. and Herrgard, Markus J. and Rusch, Douglas B.},
abstractNote = {The Yellowstone geothermal complex contains over 10,000 diverse geothermal features that host numerous phylogenetically deeply rooted and poorly understood archaea, bacteria, and viruses. Microbial communities in high-temperature environments are generally less diverse than soil, marine, sediment, or lake habitats and therefore offer a tremendous opportunity for studying the structure and function of different model microbial communities using environmental metagenomics. One of the broader goals of this study was to establish linkages among microbial distribution, metabolic potential, and environmental variables. Twenty geochemically distinct geothermal ecosystems representing a broad spectrum of Yellowstone hot-spring environments were used for metagenomic and geochemical analysis and included approximately equal numbers of: (1) phototrophic mats, (2) “filamentous streamer” communities, and (3) archaeal-dominated sediments. The metagenomes were analyzed using a suite of complementary and integrative bioinformatic tools, including phylogenetic and functional analysis of both individual sequence reads and assemblies of predominant phylotypes.This volume identifies major environmental determinants of a large number of thermophilic microbial lineages, many of which have not been fully described in the literature nor previously cultivated to enable functional and genomic analyses. Moreover, protein family abundance comparisons and in-depth analyses of specific genes and metabolic pathways relevant to these hot-spring environments reveal hallmark signatures of metabolic capabilities that parallel the distribution of phylotypes across specific types of geochemical environments.},
doi = {10.3389/fmicb.2013.00067},
journal = {Frontiers in Microbiology},
number = ,
volume = 4,
place = {United States},
year = {Tue Jan 01 00:00:00 EST 2013},
month = {Tue Jan 01 00:00:00 EST 2013}
}

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