Temporal and spatial dynamics in microbial community composition within a temperate stream network
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作者:
Hassell, Norman
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机构:
Univ Georgia, Dept Microbiol, Athens, GA 30602 USA
Univ Georgia, Inst Bioinformat, Athens, GA 30602 USAUniv Georgia, Dept Microbiol, Athens, GA 30602 USA
Hassell, Norman
[1
,2
]
Tinker, Kara A.
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Univ Georgia, Dept Microbiol, Athens, GA 30602 USAUniv Georgia, Dept Microbiol, Athens, GA 30602 USA
Tinker, Kara A.
[1
]
Moore, Thomas
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Upper Oconee Watershed Network, Athens, GA USAUniv Georgia, Dept Microbiol, Athens, GA 30602 USA
Moore, Thomas
[3
]
Ottesen, Elizabeth A.
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Univ Georgia, Dept Microbiol, Athens, GA 30602 USAUniv Georgia, Dept Microbiol, Athens, GA 30602 USA
Ottesen, Elizabeth A.
[1
]
机构:
[1] Univ Georgia, Dept Microbiol, Athens, GA 30602 USA
[2] Univ Georgia, Inst Bioinformat, Athens, GA 30602 USA
[3] Upper Oconee Watershed Network, Athens, GA USA
The water column of streams hosts a unique microbial community that is distinct from the microbial communities of the stream benthos and surrounding soil. This community is shaped by complex interacting forces, including microbial dispersal from surrounding environments and in-stream selection. However, how the processes structuring stream communities change over space and time remains poorly understood. In this study, we characterize spatial and temporal trends in microbial community composition throughout a stream network spanning first through fifth order streams. We found that the microbial communities of headwater streams are compositionally diverse, with low representation of freshwater microbial taxa and high representation of soil and sediment-associated taxa. In three out of five seasonal samplings, a successional pattern was identified in which phylotype richness and compositional heterogeneity decreased while the proportion of known freshwater taxa increased with increasing cumulative upstream dendritic distance. However, in two samplings, streams instead exhibited uniformly high microbial diversity across the watershed, and the fraction of freshwater taxa showed no relationship with dendritic distance. Overall, our data suggest that the successional processes that drive microbial diversity in streams are highly dynamic and can be disrupted at landscape scales, potentially in response to variation in temperature and precipitation.