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Circulating Virus Load Determines the Size of Bottlenecks in Viral Populations Progressing within a Host

Overview of attention for article published in PLoS Pathogens, November 2012
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Article details
Title
Circulating Virus Load Determines the Size of Bottlenecks in Viral Populations Progressing within a Host
Published in
PLoS Pathogens, November 2012
DOI 10.1371/journal.ppat.1003009
Pubmed ID
Authors
Abstract

For any organism, population size, and fluctuations thereof, are of primary importance in determining the forces driving its evolution. This is particularly true for viruses--rapidly evolving entities that form populations with transient and explosive expansions alternating with phases of migration, resulting in strong population bottlenecks and associated founder effects that increase genetic drift. A typical illustration of this pattern is the progression of viral disease within a eukaryotic host, where such demographic fluctuations are a key factor in the emergence of new variants with altered virulence. Viruses initiate replication in one or only a few infection foci, then move through the vasculature to seed secondary infection sites and so invade distant organs and tissues. Founder effects during this within-host colonization might depend on the concentration of infectious units accumulating and circulating in the vasculature, as this represents the infection dose reaching new organs or "territories". Surprisingly, whether or not the easily measurable circulating (plasma) virus load directly drives the size of population bottlenecks during host colonization has not been documented in animal viruses, while in plants the virus load within the sap has never been estimated. Here, we address this important question by monitoring both the virus concentration flowing in host plant sap, and the number of viral genomes founding the population in each successive new leaf. Our results clearly indicate that the concentration of circulating viruses directly determines the size of bottlenecks, which hence controls founder effects and effective population size during disease progression within a host.

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X Demographics

The data shown below were collected from the profiles of 2 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 83 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 %
South Africa 2 2%
United States 1 1%
Portugal 1 1%
France 1 1%
Unknown 78 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 23 28%
Student > Ph. D. Student 18 22%
Student > Master 9 11%
Student > Bachelor 7 8%
Professor 6 7%
Other 15 18%
Unknown 5 6%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 50 60%
Biochemistry, Genetics and Molecular Biology 9 11%
Medicine and Dentistry 4 5%
Environmental Science 3 4%
Immunology and Microbiology 3 4%
Other 5 6%
Unknown 9 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 12 November 2012.
All research outputs
#22,390,500
of 32,388,373 outputs
Outputs from PLoS Pathogens
#8,806
of 10,757 outputs
Outputs of similar age
#166,086
of 234,930 outputs
Outputs of similar age from PLoS Pathogens
#118
of 142 outputs
Altmetric has tracked 32,388,373 research outputs across all sources so far. This one is in the 29th percentile – i.e., 29% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,757 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.6. This one is in the 16th percentile – i.e., 16% 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 234,930 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 142 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.