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Conditional Vector Preference Aids the Spread of Plant Pathogens: Results From a Model

Overview of attention for article published in Environmental Entomology, November 2013
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Article details
Title
Conditional Vector Preference Aids the Spread of Plant Pathogens: Results From a Model
Published in
Environmental Entomology, November 2013
DOI 10.1603/en13062
Pubmed ID
Authors
Abstract

Vectors of several economically important plant viruses have been shown to feed or settle preferentially on either infected or noninfected host plants. Recent research has revealed that the feeding or settling preferences of insect vectors can depend on whether a vector is inoculative (carries the virus). To explore the implications of such changes in vector preference for the spread of the pathogen, we create a basic model of disease spread, incorporating vector preferences for infected and noninfected plants dependent on whether the vector is inoculative. Previous modeling work assumed that vector preferences remain unchanged with vector infection status and showed that vector preference for infected host plants promotes disease spread when infected hosts are rare, whereas preference for noninfected hosts promotes spread once infected hosts become abundant. In contrast, our model shows that a change in preference following acquisition of the pathogen can increase pathogen spread throughout the epidemic if noninoculative vectors prefer infected plants and inoculative vectors prefer noninfected plants, as has been detected experimentally in two pathosystems. Our results show that conditional vector preference can substantially influence plant pathogen spread, with implications for agricultural and natural systems. Conditional preference as a component of virus manipulation of vector behavior is potentially more important for the understanding of plant disease spread than previously recognized.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 75 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 States 1 1%
France 1 1%
Benin 1 1%
Unknown 72 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 18 24%
Researcher 17 23%
Student > Master 11 15%
Student > Doctoral Student 6 8%
Student > Bachelor 4 5%
Other 9 12%
Unknown 10 13%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 46 61%
Environmental Science 6 8%
Mathematics 3 4%
Biochemistry, Genetics and Molecular Biology 2 3%
Immunology and Microbiology 2 3%
Other 5 7%
Unknown 11 15%
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 14 January 2014.
All research outputs
#20,674,485
of 25,394,764 outputs
Outputs from Environmental Entomology
#1,610
of 2,172 outputs
Outputs of similar age
#241,637
of 315,906 outputs
Outputs of similar age from Environmental Entomology
#7
of 16 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,172 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.