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An experimental model for the spatial structuring and selection of bacterial communities

Overview of attention for article published in Journal of Microbiological Methods, August 2011
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Title
An experimental model for the spatial structuring and selection of bacterial communities
Published in
Journal of Microbiological Methods, August 2011
DOI 10.1016/j.mimet.2011.08.010
Pubmed ID
Authors

Torsten Thomas, Ilona Kindinger, Dan Yu, Meera Esvaran, Linda Blackall, Hugh Forehead, Craig R. Johnson, Mike Manefield

Abstract

Community-level selection is an important concept in evolutionary biology and has been predicted to arise in systems that are spatially structured. Here we develop an experimental model for spatially-structured bacterial communities based on coaggregating strains and test their relative fitness under a defined selection pressure. As selection we apply protozoan grazing in a defined, continuous culturing system. We demonstrate that a slow-growing bacterial strain Blastomonas natatoria 2.1, which forms coaggregates with Micrococcus luteus, can outcompete a fast-growing, closely related strain Blastomonas natatoria 2.8 under conditions of protozoan grazing. The competitive benefit provided by spatial structuring has implications for the evolution of natural bacterial communities in the environment.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 7%
Unknown 13 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 43%
Student > Bachelor 2 14%
Researcher 2 14%
Student > Master 1 7%
Student > Doctoral Student 1 7%
Other 0 0%
Unknown 2 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 50%
Immunology and Microbiology 2 14%
Biochemistry, Genetics and Molecular Biology 1 7%
Environmental Science 1 7%
Unknown 3 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 September 2011.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from Journal of Microbiological Methods
#1,897
of 2,350 outputs
Outputs of similar age
#112,773
of 135,928 outputs
Outputs of similar age from Journal of Microbiological Methods
#24
of 29 outputs
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So far Altmetric has tracked 2,350 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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