Patterns of genetic variation in populations of infectious agents

<p>Abstract</p> <p>Background</p> <p>The analysis of genetic variation in populations of infectious agents may help us understand their epidemiology and evolution. Here we study a model for assessing the levels and patterns of genetic diversity in populations of infecti...

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Main Authors: Campos Paulo RA, Gordo Isabel
Format: Article
Language:English
Published: BMC 2007-07-01
Series:BMC Evolutionary Biology
Online Access:http://www.biomedcentral.com/1471-2148/7/116
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author Campos Paulo RA
Gordo Isabel
author_facet Campos Paulo RA
Gordo Isabel
author_sort Campos Paulo RA
collection DOAJ
description <p>Abstract</p> <p>Background</p> <p>The analysis of genetic variation in populations of infectious agents may help us understand their epidemiology and evolution. Here we study a model for assessing the levels and patterns of genetic diversity in populations of infectious agents. The population is structured into many small subpopulations, which correspond to their hosts, that are connected according to a specific type of contact network. We considered different types of networks, including fully connected networks and scale free networks, which have been considered as a model that captures some properties of real contact networks. Infectious agents transmit between hosts, through migration, where they grow and mutate until elimination by the host immune system.</p> <p>Results</p> <p>We show how our model is closely related to the classical SIS model in epidemiology and find that: depending on the relation between the rate at which infectious agents are eliminated by the immune system and the within host effective population size, genetic diversity increases with <it>R</it><sub>0 </sub>or peaks at intermediate <it>R</it><sub>0 </sub>levels; patterns of genetic diversity in this model are in general similar to those expected under the standard neutral model, but in a scale free network and for low values of <it>R</it><sub>0 </sub>a distortion in the neutral mutation frequency spectrum can be observed; highly connected hosts (hubs in the network) show patterns of diversity different from poorly connected individuals, namely higher levels of genetic variation, lower levels of genetic differentiation and larger values of Tajima's D.</p> <p>Conclusion</p> <p>We have found that levels of genetic variability in the population of infectious agents can be predicted by simple analytical approximations, and exhibit two distinct scenarios which are met according to the relation between the rate of drift and the rate at which infectious agents are eliminated. In one scenario the diversity is an increasing function of the level of transmission and in a second scenario it is peaked around intermediate levels of transmission. This is independent of the type of host contact structure. Furthermore for low values of <it>R</it><sub>0</sub>, very heterogeneous host contact structures lead to lower levels of diversity.</p>
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spelling doaj.art-9e6b4c807c83472781dc5422c56d6b272022-12-21T23:12:38ZengBMCBMC Evolutionary Biology1471-21482007-07-017111610.1186/1471-2148-7-116Patterns of genetic variation in populations of infectious agentsCampos Paulo RAGordo Isabel<p>Abstract</p> <p>Background</p> <p>The analysis of genetic variation in populations of infectious agents may help us understand their epidemiology and evolution. Here we study a model for assessing the levels and patterns of genetic diversity in populations of infectious agents. The population is structured into many small subpopulations, which correspond to their hosts, that are connected according to a specific type of contact network. We considered different types of networks, including fully connected networks and scale free networks, which have been considered as a model that captures some properties of real contact networks. Infectious agents transmit between hosts, through migration, where they grow and mutate until elimination by the host immune system.</p> <p>Results</p> <p>We show how our model is closely related to the classical SIS model in epidemiology and find that: depending on the relation between the rate at which infectious agents are eliminated by the immune system and the within host effective population size, genetic diversity increases with <it>R</it><sub>0 </sub>or peaks at intermediate <it>R</it><sub>0 </sub>levels; patterns of genetic diversity in this model are in general similar to those expected under the standard neutral model, but in a scale free network and for low values of <it>R</it><sub>0 </sub>a distortion in the neutral mutation frequency spectrum can be observed; highly connected hosts (hubs in the network) show patterns of diversity different from poorly connected individuals, namely higher levels of genetic variation, lower levels of genetic differentiation and larger values of Tajima's D.</p> <p>Conclusion</p> <p>We have found that levels of genetic variability in the population of infectious agents can be predicted by simple analytical approximations, and exhibit two distinct scenarios which are met according to the relation between the rate of drift and the rate at which infectious agents are eliminated. In one scenario the diversity is an increasing function of the level of transmission and in a second scenario it is peaked around intermediate levels of transmission. This is independent of the type of host contact structure. Furthermore for low values of <it>R</it><sub>0</sub>, very heterogeneous host contact structures lead to lower levels of diversity.</p>http://www.biomedcentral.com/1471-2148/7/116
spellingShingle Campos Paulo RA
Gordo Isabel
Patterns of genetic variation in populations of infectious agents
BMC Evolutionary Biology
title Patterns of genetic variation in populations of infectious agents
title_full Patterns of genetic variation in populations of infectious agents
title_fullStr Patterns of genetic variation in populations of infectious agents
title_full_unstemmed Patterns of genetic variation in populations of infectious agents
title_short Patterns of genetic variation in populations of infectious agents
title_sort patterns of genetic variation in populations of infectious agents
url http://www.biomedcentral.com/1471-2148/7/116
work_keys_str_mv AT campospaulora patternsofgeneticvariationinpopulationsofinfectiousagents
AT gordoisabel patternsofgeneticvariationinpopulationsofinfectiousagents