Phylogenetic Patterns in the Microbial Response to Resource Availability: Amino Acid Incorporation in San Francisco Bay

Mayali, Xavier; Weber, Peter K.; Mabery, Shalini; Pett-Ridge, Jennifer

doi:10.1371/journal.pone.0095842

Phylogenetic Patterns in the Microbial Response to Resource Availability: Amino Acid Incorporation in San Francisco Bay

Journal Article · Mon Apr 21 00:00:00 EDT 2014 · PLoS ONE

DOI:https://doi.org/10.1371/journal.pone.0095842· OSTI ID:1627695

Mayali, Xavier ^[1]; Weber, Peter K. ^[2]; Mabery, Shalini ^[2]; Pett-Ridge, Jennifer ^[2]

Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); DOE/OSTI
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)

Aquatic microorganisms are typically identified as either oligotrophic or copiotrophic, representing trophic strategies adapted to low or high nutrient concentrations, respectively. Here, we sought to take steps towards identifying these and additional adaptations to nutrient availability with a quantitative analysis of microbial resource use in mixed communities. We incubated an estuarine microbial community with stable isotope labeled amino acids (AAs) at concentrations spanning three orders of magnitude, followed by taxon-specific quantitation of isotopic incorporation using NanoSIMS analysis of high-density microarrays. The resulting data revealed that trophic response to AA availability falls along a continuum between copiotrophy and oligotrophy, and high and low activity. To illustrate strategies along this continuum more simply, we statistically categorized microbial taxa among three trophic types, based on their incorporation responses to increasing resource concentration. The data indicated that taxa with copiotrophic-like resource use were not necessarily the most active, and taxa with oligotrophic-like resource use were not always the least active. Two of the trophic strategies were not randomly distributed throughout a 16S rDNA phylogeny, suggesting they are under selective pressure in this ecosystem and that a link exists between evolutionary relatedness and substrate affinity. The diversity of strategies to adapt to differences in resource availability highlights the need to expand our understanding of microbial interactions with organic matter in order to better predict microbial responses to a changing environment.

View Accepted Manuscript (DOE)

Research Organization:: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)

Sponsoring Organization:: USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE Office of Science (SC), Biological and Environmental Research (BER)

Grant/Contract Number:: AC52-07NA27344

OSTI ID:: 1627695

Journal Information:: PLoS ONE, Journal Name: PLoS ONE Journal Issue: 4 Vol. 9; ISSN 1932-6203

Publisher:: Public Library of ScienceCopyright Statement

Country of Publication:: United States

Language:: English

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