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Cited by 500

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Resource Partitioning and Sympatric Differentiation Among Closely Related Bacterioplankton

Hunt, Dana E., David, Lawrence A., Gevers, Dirk, Preheim, Sarah P., Alm, Eric J., Polz, Martin F.·2008·Science

Abstract

Identifying ecologically differentiated populations within complex microbial communities remains challenging, yet is critical for interpreting the evolution and ecology of microbes in the wild. Here we describe spatial and temporal resource partitioning among Vibrionaceae strains coexisting in coastal bacterioplankton. A quantitative model (AdaptML) establishes the evolutionary history of ecological differentiation, thus revealing populations specific for seasons and life-styles (combinations of free-living, particle, or zooplankton associations). These ecological population boundaries frequently occur at deep phylogenetic levels (consistent with named species); however, recent and perhaps ongoing adaptive radiation is evident in Vibrio splendidus , which comprises numerous ecologically distinct populations at different levels of phylogenetic differentiation. Thus, environmental specialization may be an important correlate or even trigger of speciation among sympatric microbes.

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Crossref · 10.1126/science.1157890

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Metadata

Authors
Hunt, D. E., David, L. A., Gevers, D., Preheim, S. P., Alm, E. J., & Polz, M. F.
Venue
Science
Published
2008-05-23
Volume
320
Issue
5879
Pages
1081-1085
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1986748260
Cited by
500
References
1
FWCI
19.22
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Resource Partitioning and Sympatric Differentiation Among Closely Related Bacterioplankton. https://app.cochat.ai/papers/10.1126/science.1157890
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Hunt, D. E., David, L. A., Gevers, D., Preheim, S. P., Alm, E. J., & Polz, M. F. (2008). Resource Partitioning and Sympatric Differentiation Among Closely Related Bacterioplankton. Science. https://doi.org/10.1126/science.1157890

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.