High resolution time series reveals cohesive but short-lived communities in coastal plankton

Martin-Platero, Antonio M.; Cleary, Brian; Kauffman, Kathryn; Preheim, Sarah P.; McGillicuddy, Dennis J.; Alm, Eric J.; Polz, Martin F.

doi:10.1038/s41467-017-02571-4

Title: High resolution time series reveals cohesive but short-lived communities in coastal plankton

Journal Article · 18 January 2018 · Nature Communications

DOI: https://doi.org/10.1038/s41467-017-02571-4 · OSTI ID:1523509

Martin-Platero, Antonio M. ^[1]; Cleary, Brian ^[2];

^[1]; Preheim, Sarah P. ^[1]; McGillicuddy, Dennis J. ^[3]; Alm, Eric J. ^[4]; Polz, Martin F. ^[1]

Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States). Dept. of Civil and Environmental Engineering
Broad Inst., Cambridge, MA (United States); Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States). Computational and Systems Biology Program
Woods Hole Oceanagraphic Inst., Woods Hole, MA (United States). Dept. of Applied Ocean Physics and Engineering
Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States). Dept. of Civil and Environmental Engineering and Dept. of Biological Engineering; Broad Inst., Cambridge, MA (United States)

Because microbial plankton in the ocean comprise diverse bacteria, algae, and protists that are subject to environmental forcing on multiple spatial and temporal scales, a fundamental open question is to what extent these organisms form ecologically cohesive communities. Here we show that although all taxa undergo large, near daily fluctuations in abundance, microbial plankton are organized into clearly defined communities whose turnover is rapid and sharp. We analyze a time series of 93 consecutive days of coastal plankton using a technique that allows inference of communities as modular units of interacting taxa by determining positive and negative correlations at different temporal frequencies. This approach shows both coordinated population expansions that demarcate community boundaries and high frequency of positive and negative associations among populations within communities. Our analysis thus highlights that the environmental variability of the coastal ocean is mirrored in sharp transitions of defined but ephemeral communities of organisms.

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Research Organization:: Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: SC0008743

OSTI ID:: 1523509

Journal Information:: Nature Communications, Vol. 9, Issue 1; ISSN 2041-1723

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 76 works

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