↓ Skip to main content

PLOS

On Genetic Specificity in Symbiont-Mediated Host-Parasite Coevolution

Overview of attention for article published in PLoS Computational Biology, August 2012
Altmetric Badge

Mentioned by

blogs
2 blogs
twitter
2 X users

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
82 Mendeley
Title
On Genetic Specificity in Symbiont-Mediated Host-Parasite Coevolution
Published in
PLoS Computational Biology, August 2012
DOI 10.1371/journal.pcbi.1002633
Pubmed ID
Authors

Marek Kwiatkowski, Jan Engelstädter, Christoph Vorburger

Abstract

Existing theory of host-parasite interactions has identified the genetic specificity of interaction as a key variable affecting the outcome of coevolution. The Matching Alleles (MA) and Gene For Gene (GFG) models have been extensively studied as the canonical examples of specific and non-specific interaction. The generality of these models has recently been challenged by uncovering real-world host-parasite systems exhibiting specificity patterns that fit neither MA nor GFG, and by the discovery of symbiotic bacteria protecting insect hosts against parasites. In the present paper we address both challenges, simulating a large number of non-canonical models of host-parasite interactions that explicitly incorporate symbiont-based host resistance. To assess the genetic specialisation in these hybrid models, we develop a quantitative index of specificity applicable to any coevolutionary model based on a fitness matrix. We find qualitative and quantitative effects of host-parasite and symbiont-parasite specificities on genotype frequency dynamics, allele survival, and mean host and parasite fitnesses.

X Demographics

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 2 2%
Colombia 1 1%
Germany 1 1%
Denmark 1 1%
Peru 1 1%
Unknown 74 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 30%
Researcher 20 24%
Student > Master 8 10%
Student > Bachelor 7 9%
Student > Doctoral Student 5 6%
Other 11 13%
Unknown 6 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 62%
Biochemistry, Genetics and Molecular Biology 8 10%
Immunology and Microbiology 4 5%
Environmental Science 2 2%
Mathematics 1 1%
Other 4 5%
Unknown 12 15%