Linking activity and function to ecosystem dynamics in a coastal bacterioplankton community
Name
Gifford-2014-Linking activity and.pdf
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3.84 MB
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Author(s)
Gifford, Scott Michael
Sharma, Shalabh
Moran, Mary Ann
Date Issued
April 2014
Journal
Frontiers in Microbiology
Publisher
Frontiers Research Foundation
Citation
Gifford, Scott M., Shalabh Sharma, and Mary Ann Moran. “Linking Activity and Function to Ecosystem Dynamics in a Coastal Bacterioplankton Community.” Frontiers in Microbiology 5 (April 24, 2014).
Version
Final published version
Abstract
For bacterial communities containing hundreds to thousands of distinct populations, connecting functional processes and environmental dynamics at high taxonomic resolution has remained challenging. Here we use the expression of ribosomal proteins (%RP) as a proxy for in situ activity of 200 taxa within 20 metatranscriptomic samples in a coastal ocean time series encompassing both seasonal variability and diel dynamics. %RP patterns grouped the taxa into seven activity clusters with distinct profiles in functional gene expression and correlations with environmental gradients. Clusters 1–3 had their highest potential activity in the winter and fall, and included some of the most active taxa, while Clusters 4–7 had their highest potential activity in the spring and summer. Cluster 1 taxa were characterized by gene expression for motility and complex carbohydrate degradation (dominated by Gammaproteobacteria and Bacteroidetes), and Cluster 2 taxa by transcription of genes for amino acid and aromatic compound metabolism and aerobic anoxygenic phototrophy (Roseobacter). Other activity clusters were enriched in transcripts for proteorhodopsin and methylotrophy (Cluster 4; SAR11 and methylotrophs), photosynthesis and attachment (Clusters 5 and 7; Synechococcus, picoeukaryotes, Verucomicrobia, and Planctomycetes), and sulfur oxidation (Cluster 7; Gammaproteobacteria). The seasonal patterns in activity were overlain, and sometimes obscured, by large differences in %RP over shorter day-night timescales. Seventy-eight taxa, many of them heterotrophs, had a higher %RP activity index during the day than night, indicating a strong diel activity rhythm at this coastal site. Emerging from these taxonomically- and time-resolved estimates of in situ microbial activity are predictions of specific ecological groupings of microbial taxa in a dynamic coastal environment.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
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DOI of Published Version
https://doi.org/10.3389/fmicb.2014.00185
