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Title: Estimating taxon-specific population dynamics in diverse microbial communities

Understanding how population-level dynamics contribute to ecosystem-level processes is a primary focus of ecological research and has led to important breakthroughs in the ecology of macroscopic organisms. However, the inability to measure population-specific rates, such as growth, for microbial taxa within natural assemblages has limited ecologists’ understanding of how microbial populations interact to regulate ecosystem processes. In this work, we use isotope incorporation within DNA molecules to model taxon-specific population growth in the presence of 18O-labeled water. By applying this model to phylogenetic marker sequencing data collected from stable-isotope probing studies, we estimate rates of growth, mortality, and turnover for individual microbial populations within soil assemblages. When summed across the entire bacterial community, our taxon-specific estimates are within the range of other whole-assemblage measurements of bacterial turnover. Because it can be applied to environmental samples, the approach we present is broadly applicable to measuring population growth, mortality, and associated biogeochemical process rates of microbial taxa for a wide range of ecosystems and can help reveal how individual microbial populations drive biogeochemical fluxes.
Authors:
 [1] ;  [2] ;  [3] ;  [1] ;  [4] ;  [1] ;  [3] ;  [1] ;  [3] ;  [5] ;  [4] ; ORCiD logo [1]
  1. Northern Arizona Univ., Flagstaff, AZ (United States). Center for Ecosystem Science and Society and Dept. of Biological Sciences
  2. Northern Arizona Univ., Flagstaff, AZ (United States). Center for Ecosystem Science and Society; U.S. Geological Survey, Moab, UT (United States). Southwest Biological Science Center
  3. Northern Arizona Univ., Flagstaff, AZ (United States). Center for Ecosystem Science and Society
  4. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). Physical and Life Sciences Directorate
  5. West Virginia Univ., Morgantown, WV (United States). Division of Plant and Soil Sciences
Publication Date:
Report Number(s):
LLNL-JRNL-731619; LLNL-JRNL-738626
Journal ID: ISSN 2150-8925; 882875
Grant/Contract Number:
AC52-07NA27344; DEB‐1241094; DEB‐1146449; SC0016207; SCW1024; SCW1590
Type:
Published Article
Journal Name:
Ecosphere
Additional Journal Information:
Journal Volume: 9; Journal Issue: 1; Journal ID: ISSN 2150-8925
Publisher:
Ecological Society of America
Research Org:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org:
USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23). Biological Systems Science Division; National Science Foundation (NSF); Technology Research Initiative Fund (TRIF)
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; 59 BASIC BIOLOGICAL SCIENCES; population growth rate; population mortality rate; quantitative stable-isotope probing (qSIP); rewetting; soil bacteria; turnover; Biological and medical sciences
OSTI Identifier:
1418693
Alternate Identifier(s):
OSTI ID: 1418696; OSTI ID: 1467818; OSTI ID: 1474397

Koch, Benjamin J., McHugh, Theresa A., Hayer, Michaela, Schwartz, Egbert, Blazewicz, Steven J., Dijkstra, Paul, van Gestel, Natasja, Marks, Jane C., Mau, Rebecca L., Morrissey, Ember M., Pett-Ridge, Jennifer, and Hungate, Bruce A.. Estimating taxon-specific population dynamics in diverse microbial communities. United States: N. p., Web. doi:10.1002/ecs2.2090.
Koch, Benjamin J., McHugh, Theresa A., Hayer, Michaela, Schwartz, Egbert, Blazewicz, Steven J., Dijkstra, Paul, van Gestel, Natasja, Marks, Jane C., Mau, Rebecca L., Morrissey, Ember M., Pett-Ridge, Jennifer, & Hungate, Bruce A.. Estimating taxon-specific population dynamics in diverse microbial communities. United States. doi:10.1002/ecs2.2090.
Koch, Benjamin J., McHugh, Theresa A., Hayer, Michaela, Schwartz, Egbert, Blazewicz, Steven J., Dijkstra, Paul, van Gestel, Natasja, Marks, Jane C., Mau, Rebecca L., Morrissey, Ember M., Pett-Ridge, Jennifer, and Hungate, Bruce A.. 2018. "Estimating taxon-specific population dynamics in diverse microbial communities". United States. doi:10.1002/ecs2.2090.
@article{osti_1418693,
title = {Estimating taxon-specific population dynamics in diverse microbial communities},
author = {Koch, Benjamin J. and McHugh, Theresa A. and Hayer, Michaela and Schwartz, Egbert and Blazewicz, Steven J. and Dijkstra, Paul and van Gestel, Natasja and Marks, Jane C. and Mau, Rebecca L. and Morrissey, Ember M. and Pett-Ridge, Jennifer and Hungate, Bruce A.},
abstractNote = {Understanding how population-level dynamics contribute to ecosystem-level processes is a primary focus of ecological research and has led to important breakthroughs in the ecology of macroscopic organisms. However, the inability to measure population-specific rates, such as growth, for microbial taxa within natural assemblages has limited ecologists’ understanding of how microbial populations interact to regulate ecosystem processes. In this work, we use isotope incorporation within DNA molecules to model taxon-specific population growth in the presence of 18O-labeled water. By applying this model to phylogenetic marker sequencing data collected from stable-isotope probing studies, we estimate rates of growth, mortality, and turnover for individual microbial populations within soil assemblages. When summed across the entire bacterial community, our taxon-specific estimates are within the range of other whole-assemblage measurements of bacterial turnover. Because it can be applied to environmental samples, the approach we present is broadly applicable to measuring population growth, mortality, and associated biogeochemical process rates of microbial taxa for a wide range of ecosystems and can help reveal how individual microbial populations drive biogeochemical fluxes.},
doi = {10.1002/ecs2.2090},
journal = {Ecosphere},
number = 1,
volume = 9,
place = {United States},
year = {2018},
month = {1}
}

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Search and clustering orders of magnitude faster than BLAST
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