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Host ecotype generates evolutionary and epidemiological divergence across a pathogen metapopulation

Overview of attention for article published in Proceedings of the Royal Society B: Biological Sciences, July 2014
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  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Average Attention Score compared to outputs of the same age and source

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Article details
Title
Host ecotype generates evolutionary and epidemiological divergence across a pathogen metapopulation
Published in
Proceedings of the Royal Society B: Biological Sciences, July 2014
DOI 10.1098/rspb.2014.0522
Pubmed ID
Authors
Abstract

The extent and speed at which pathogens adapt to host resistance varies considerably. This presents a challenge for predicting when--and where--pathogen evolution may occur. While gene flow and spatially heterogeneous environments are recognized to be critical for the evolutionary potential of pathogen populations, we lack an understanding of how the two jointly shape coevolutionary trajectories between hosts and pathogens. The rust pathogen Melampsora lini infects two ecotypes of its host plant Linum marginale that occur in close proximity yet in distinct populations and habitats. In this study, we found that within-population epidemics were different between the two habitats. We then tested for pathogen local adaptation at host population and ecotype level in a reciprocal inoculation study. Even after controlling for the effect of spatial structure on infection outcome, we found strong evidence of pathogen adaptation at the host ecotype level. Moreover, sequence analysis of two pathogen infectivity loci revealed strong genetic differentiation by host ecotype but not by distance. Hence, environmental variation can be a key determinant of pathogen population genetic structure and coevolutionary dynamics and can generate strong asymmetry in infection risks through space.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
France 2 3%
Germany 2 3%
South Africa 1 1%
United States 1 1%
United Kingdom 1 1%
Finland 1 1%
Unknown 70 90%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 20 26%
Student > Ph. D. Student 17 22%
Student > Master 9 12%
Student > Doctoral Student 7 9%
Student > Bachelor 7 9%
Other 13 17%
Unknown 5 6%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 48 62%
Biochemistry, Genetics and Molecular Biology 8 10%
Environmental Science 7 9%
Immunology and Microbiology 2 3%
Medicine and Dentistry 2 3%
Other 4 5%
Unknown 7 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 31 October 2014.
All research outputs
#7,944,924
of 28,019,514 outputs
Outputs from Proceedings of the Royal Society B: Biological Sciences
#7,601
of 11,244 outputs
Outputs of similar age
#65,649
of 242,697 outputs
Outputs of similar age from Proceedings of the Royal Society B: Biological Sciences
#115
of 166 outputs
Altmetric has tracked 28,019,514 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 11,244 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.0. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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 242,697 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 166 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.