↓ Skip to main content

Wiley Online Library

The biogeography of kin discrimination across microbial neighbourhoods

Overview of attention for article published in Molecular Ecology, September 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog
twitter
12 X users
googleplus
1 Google+ user

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
46 Mendeley
Title
The biogeography of kin discrimination across microbial neighbourhoods
Published in
Molecular Ecology, September 2016
DOI 10.1111/mec.13803
Pubmed ID
Authors

Susanne A. Kraemer, Sébastien Wielgoss, Francesca Fiegna, Gregory J. Velicer

Abstract

The spatial distribution of potential interactants is critical to social evolution in all cooperative organisms. Yet the biogeography of microbial kin discrimination at the scales most relevant to social interactions is poorly understood. Here we resolve the microbiogeography of social identity and genetic relatedness in local populations of the model cooperative bacterium Myxococcus xanthus at small spatial scales across which the potential for dispersal is high. Using two criteria of relatedness - colony-merger compatibility during cooperative motility and DNA-sequence similarity at highly polymorphic loci - we find that relatedness decreases greatly with spatial distance even across the smallest scale transition. Both social and genetic relatedness are maximal within individual fruiting bodies at the micrometer scale but are much lower already across adjacent fruiting bodies at the millimeter scale. Genetic relatedness was found to be yet lower among centimeter-scale samples, whereas social-allotype relatedness decreased further only at the meter scale, at and beyond which the probability of social or genetic identity among randomly sampled isolates is effectively zero. Thus, in M. xanthus, high-relatedness patches form a rich mosaic of diverse social allotypes across fruiting-body neighborhoods at the millimeter scale and beyond. Individuals that migrate even short distances across adjacent groups will frequently encounter allotypic conspecifics and territorial kin discrimination may profoundly influence the spatial dynamics of local migration. Finally, we also found that the phylogenetic scope of intra-specific biogeographic analysis can affect the detection of spatial structure, as some patterns evident in clade-specific analysis were masked by simultaneous analysis of all strains. This article is protected by copyright. All rights reserved.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 35%
Researcher 8 17%
Student > Master 6 13%
Student > Bachelor 3 7%
Professor 2 4%
Other 3 7%
Unknown 8 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 50%
Environmental Science 5 11%
Immunology and Microbiology 3 7%
Biochemistry, Genetics and Molecular Biology 2 4%
Nursing and Health Professions 1 2%
Other 2 4%
Unknown 10 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 29 November 2017.
All research outputs
#2,278,891
of 24,549,201 outputs
Outputs from Molecular Ecology
#1,164
of 6,577 outputs
Outputs of similar age
#38,857
of 327,853 outputs
Outputs of similar age from Molecular Ecology
#25
of 129 outputs
Altmetric has tracked 24,549,201 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,577 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 327,853 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 129 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.