Conditionally Rare Taxa Disproportionately Contribute to Temporal Changes in Microbial Diversity

mBio - Tập 5 Số 4 - 2014
Ashley Shade1, Stuart E. Jones2, J. Gregory Caporaso3,4, Jo Handelsman5, Rob Knight6,7, Noah Fierer8,9, Jack A. Gilbert10,4
1Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, Michigan, USA
2Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, USA
3Department of Biological Sciences, Northern Arizona University, Flagstaff, Arizona, USA
4Institute for Genomic and Systems Biology, Argonne National Laboratory, Argonne, Illinois, USA
5Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut, USA
6Department of Chemistry and Biochemistry and BioFrontiers Institute, University of Colorado, Boulder, Colorado, USA
7Howard Hughes Medical Institute, Boulder, Colorado, USA
8Cooperative Institute for Research In Environmental Sciences, University of Colorado Boulder, Colorado, USA
9Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado, USA
10Department of Ecology and Evolution, University of Chicago, Chicago, Illinois, USA

Tóm tắt

ABSTRACT Microbial communities typically contain many rare taxa that make up the majority of the observed membership, yet the contribution of this microbial “rare biosphere” to community dynamics is unclear. Using 16S rRNA amplicon sequencing of 3,237 samples from 42 time series of microbial communities from nine different ecosystems (air; marine; lake; stream; adult human skin, tongue, and gut; infant gut; and brewery wastewater treatment), we introduce a new method to detect typically rare microbial taxa that occasionally become very abundant (conditionally rare taxa [CRT]) and then quantify their contributions to temporal shifts in community structure. We discovered that CRT made up 1.5 to 28% of the community membership, represented a broad diversity of bacterial and archaeal lineages, and explained large amounts of temporal community dissimilarity (i.e., up to 97% of Bray-Curtis dissimilarity). Most of the CRT were detected at multiple time points, though we also identified “one-hit wonder” CRT that were observed at only one time point. Using a case study from a temperate lake, we gained additional insights into the ecology of CRT by comparing routine community time series to large disturbance events. Our results reveal that many rare taxa contribute a greater amount to microbial community dynamics than is apparent from their low proportional abundances. This observation was true across a wide range of ecosystems, indicating that these rare taxa are essential for understanding community changes over time. IMPORTANCE Microbial communities and their processes are the foundations of ecosystems. The ecological roles of rare microorganisms are largely unknown, but it is thought that they contribute to community stability by acting as a reservoir that can rapidly respond to environmental changes. We investigated the occurrence of typically rare taxa that very occasionally become more prominent in their communities (“conditionally rare”). We quantified conditionally rare taxa in time series from a wide variety of ecosystems and discovered that not only were conditionally rare taxa present in all of the examples, but they also contributed disproportionately to temporal changes in diversity when they were most abundant. This result indicates an important and general role for rare microbial taxa within their communities.

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Tài liệu tham khảo

10.1128/AEM.68.6.3035-3045.2002

10.1128/AEM.67.10.4399-4406.2001

10.1038/nmeth0910-668b

10.1016/j.mib.2004.04.010

10.1126/science.1135933

10.1073/pnas.0605127103

10.1038/nature08058

10.1146/annurev-marine-120710-100948

10.1038/ismej.2008.44

10.1128/mBio.00602-12

10.1111/j.1462-2920.2011.02546.x

10.1186/gb-2011-12-5-r50

10.1038/ismej.2010.175

10.1073/pnas.1101405108

10.1073/pnas.0912765107

10.1111/j.1462-2920.2012.02817.x

10.1038/nrmicro2504

10.1038/4571083a

10.1073/pnas.0908284106

10.1371/journal.pone.0012414

10.1038/ismej.2011.132

10.1371/journal.pone.0074265

10.1038/nbt.2235

10.1038/ismej.2011.162

10.1038/ismej.2011.107

10.3354/ame01661

10.1038/ismej.2011.139

10.1038/ismej.2013.54

10.2307/2444163

10.3389/fmicb.2012.00417

10.1186/1741-7007-11-98

10.1038/ismej.2012.56

10.1371/journal.pone.0005299

10.1016/j.mib.2008.05.006

10.1038/ismej.2013.153

10.1371/journal.pone.0043093

10.1128/mBio.00324-13

10.1093/nar/gkp784

10.3389/fmicb.2012.00318

10.1016/j.seares.2004.05.005

10.1128/AEM.67.2.972-976.2001

10.1038/nature04983

10.1155/2010/967271

10.1016/j.atmosenv.2012.01.005

10.1073/pnas.1015676108

10.1073/pnas.1000081107

10.1111/j.1462-2920.2012.02785.x

10.4056/sigs.1433550

10.1111/j.0030-1299.2006.14223.x

10.1038/nmeth.f.303

CoreR Team. 2013. R: a language and environment for statistical computing. R Foundation for Statistical Computing Vienna Austria.

10.1007/978-0-387-98141-3

10.5281/zendo/10040