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Evolution of foot-and-mouth disease virus intra-sample sequence diversity during serial transmission in bovine hosts

Overview of attention for article published in Veterinary Research, March 2013
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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1 patent

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Title
Evolution of foot-and-mouth disease virus intra-sample sequence diversity during serial transmission in bovine hosts
Published in
Veterinary Research, March 2013
DOI 10.1186/1297-9716-44-12
Pubmed ID
Authors

Marco J Morelli, Caroline F Wright, Nick J Knowles, Nicholas Juleff, David J Paton, Donald P King, Daniel T Haydon

Abstract

RNA virus populations within samples are highly heterogeneous, containing a large number of minority sequence variants which can potentially be transmitted to other susceptible hosts. Consequently, consensus genome sequences provide an incomplete picture of the within- and between-host viral evolutionary dynamics during transmission. Foot-and-mouth disease virus (FMDV) is an RNA virus that can spread from primary sites of replication, via the systemic circulation, to found distinct sites of local infection at epithelial surfaces. Viral evolution in these different tissues occurs independently, each of them potentially providing a source of virus to seed subsequent transmission events. This study employed the Illumina Genome Analyzer platform to sequence 18 FMDV samples collected from a chain of sequentially infected cattle. These data generated snap-shots of the evolving viral population structures within different animals and tissues. Analyses of the mutation spectra revealed polymorphisms at frequencies >0.5% at between 21 and 146 sites across the genome for these samples, while 13 sites acquired mutations in excess of consensus frequency (50%). Analysis of polymorphism frequency revealed that a number of minority variants were transmitted during host-to-host infection events, while the size of the intra-host founder populations appeared to be smaller. These data indicate that viral population complexity is influenced by small intra-host bottlenecks and relatively large inter-host bottlenecks. The dynamics of minority variants are consistent with the actions of genetic drift rather than strong selection. These results provide novel insights into the evolution of FMDV that can be applied to reconstruct both intra- and inter-host transmission routes.

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X Demographics

The data shown below were collected from the profiles of 3 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 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 3%
Netherlands 1 <1%
Sweden 1 <1%
Australia 1 <1%
Unknown 95 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 32%
Student > Ph. D. Student 21 21%
Student > Master 13 13%
Student > Doctoral Student 8 8%
Professor 4 4%
Other 11 11%
Unknown 12 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 46 46%
Biochemistry, Genetics and Molecular Biology 12 12%
Veterinary Science and Veterinary Medicine 8 8%
Immunology and Microbiology 5 5%
Environmental Science 3 3%
Other 9 9%
Unknown 18 18%
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 23 August 2018.
All research outputs
#6,753,656
of 25,373,627 outputs
Outputs from Veterinary Research
#307
of 1,337 outputs
Outputs of similar age
#53,019
of 206,318 outputs
Outputs of similar age from Veterinary Research
#3
of 13 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,337 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 76% 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 206,318 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 73% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.