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Pathogen population bottlenecks and adaptive landscapes: overcoming the barriers to disease emergence

Overview of attention for article published in Proceedings of the Royal Society B: Biological Sciences, August 2016
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Article details
Title
Pathogen population bottlenecks and adaptive landscapes: overcoming the barriers to disease emergence
Published in
Proceedings of the Royal Society B: Biological Sciences, August 2016
DOI 10.1098/rspb.2016.0727
Pubmed ID
Authors
Abstract

Emerging diseases are a major challenge to public health. Revealing the evolutionary processes that allow novel pathogens to adapt to new hosts, also the potential barriers to host adaptation, is central to understanding the drivers of disease emergence. In particular, it is unclear how the genetics and ecology of pathogens interact to shape the likelihood of successful cross-species transmission. To better understand the determinants of host adaptation and emergence, we modelled key aspects of pathogen evolutionary dynamics at both intra- and inter-host scales, using parameter values similar to those observed in influenza virus. We considered the possibility of acquiring the necessary host adaptive mutations both before ('off-the-shelf' emergence) and after ('tailor-made' emergence) a virus is transmitted from a donor to a new recipient species. Under both scenarios, population bottlenecks at inter-host transmission act as a major barrier to host adaptation, greatly limiting the number of adaptive mutations that are able to cross the species barrier. In addition, virus emergence is hindered if the fitness valley between the donor and recipient hosts is either too steep or too shallow. Overall, our results reveal where in evolutionary parameter space a virus could adapt to and become transmissible in a new species.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 98 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 %
United Kingdom 1 1%
Belgium 1 1%
Unknown 96 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 20 20%
Student > Ph. D. Student 18 18%
Student > Master 15 15%
Student > Bachelor 10 10%
Student > Postgraduate 8 8%
Other 12 12%
Unknown 15 15%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 38 39%
Biochemistry, Genetics and Molecular Biology 18 18%
Immunology and Microbiology 5 5%
Environmental Science 4 4%
Mathematics 3 3%
Other 6 6%
Unknown 24 24%
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 04 September 2016.
All research outputs
#24,636,356
of 27,374,586 outputs
Outputs from Proceedings of the Royal Society B: Biological Sciences
#11,659
of 11,837 outputs
Outputs of similar age
#292,919
of 331,163 outputs
Outputs of similar age from Proceedings of the Royal Society B: Biological Sciences
#118
of 120 outputs
Altmetric has tracked 27,374,586 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,837 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 41.0. This one is in the 1st percentile – i.e., 1% 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 331,163 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.