TY - JOUR
T1 - A meta-analysis of changes in bacterial and archaeal communities with time
AU - Shade, Ashley
AU - Gregory Caporaso, J.
AU - Handelsman, Jo
AU - Knight, Rob
AU - Fierer, Noah
N1 - Funding Information:
This work would not have been possible without the generosity and collaborative spirit of the many primary authors of the data sets included in the meta-analysis. AS is a Gordon and Betty Moore Foundation Fellow of the Life Sciences Research Foundation. We thank Petr Keil for insightful discussions. We thank Jack Gilbert for the Western English Channel dataset, and Jack Gilbert and Trina McMahon for the lakes dataset. NF was supported by funding from the National Science Foundation and the US Department of Agriculture. RK was supported, in part, by the Howard Hughes Medical Institute and the National Institutes of Health.
PY - 2013/8
Y1 - 2013/8
N2 - Ecologists have long studied the temporal dynamics of plant and animal communities with much less attention paid to the temporal dynamics exhibited by microbial communities. As a result, we do not know if overarching temporal trends exist for microbial communities or if changes in microbial communities are generally predictable with time. Using microbial time series assessed via high-throughput sequencing, we conducted a meta-analysis of temporal dynamics in microbial communities, including 76 sites representing air, aquatic, soil, brewery wastewater treatment, human- and plant-associated microbial biomes. We found that temporal variability in both within- and between-community diversity was consistent among microbial communities from similar environments. Community structure changed systematically with time in less than half of the cases, and the highest rates of change were observed within ranges of 1 day to 1 month for all communities examined. Microbial communities exhibited species-time relationships (STRs), which describe the accumulation of new taxa to a community, similar to those observed previously for plant and animal communities, suggesting that STRs are remarkably consistent across a broad range of taxa. These results highlight that a continued integration of microbial ecology into the broader field of ecology will provide new insight into the temporal patterns of microbial and 'macro'-bial communities alike.
AB - Ecologists have long studied the temporal dynamics of plant and animal communities with much less attention paid to the temporal dynamics exhibited by microbial communities. As a result, we do not know if overarching temporal trends exist for microbial communities or if changes in microbial communities are generally predictable with time. Using microbial time series assessed via high-throughput sequencing, we conducted a meta-analysis of temporal dynamics in microbial communities, including 76 sites representing air, aquatic, soil, brewery wastewater treatment, human- and plant-associated microbial biomes. We found that temporal variability in both within- and between-community diversity was consistent among microbial communities from similar environments. Community structure changed systematically with time in less than half of the cases, and the highest rates of change were observed within ranges of 1 day to 1 month for all communities examined. Microbial communities exhibited species-time relationships (STRs), which describe the accumulation of new taxa to a community, similar to those observed previously for plant and animal communities, suggesting that STRs are remarkably consistent across a broad range of taxa. These results highlight that a continued integration of microbial ecology into the broader field of ecology will provide new insight into the temporal patterns of microbial and 'macro'-bial communities alike.
KW - 16S rRNA
KW - Beta diversity
KW - Hhigh-throughput sequencing
KW - Similarity-decay
KW - Species-time relationship
KW - Turnover
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U2 - 10.1038/ismej.2013.54
DO - 10.1038/ismej.2013.54
M3 - Article
C2 - 23575374
AN - SCOPUS:84880917983
SN - 1751-7362
VL - 7
SP - 1493
EP - 1506
JO - ISME Journal
JF - ISME Journal
IS - 8
ER -