Simulating population genetics of pathogen vectors in changing landscapes: guidelines and application with Triatoma brasiliensis.
BACKGROUND:Understanding the mechanisms that influence the population dynamics and spatial genetic structure of the vectors of pathogens infecting humans is a central issue in tropical epidemiology. In view of the rapid changes in the features of landscape pathogen vectors live in, this issue requir...
Published in: | PLoS Neglected Tropical Diseases |
---|---|
Main Authors: | , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Public Library of Science (PLoS)
2014
|
Subjects: | |
Online Access: | https://doi.org/10.1371/journal.pntd.0003068 https://doaj.org/article/6549f8366db849fcadea772d5f3e5704 |
id |
ftdoajarticles:oai:doaj.org/article:6549f8366db849fcadea772d5f3e5704 |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:6549f8366db849fcadea772d5f3e5704 2023-05-15T15:15:40+02:00 Simulating population genetics of pathogen vectors in changing landscapes: guidelines and application with Triatoma brasiliensis. Francois Rebaudo Jane Costa Carlos E Almeida Jean-Francois Silvain Myriam Harry Olivier Dangles 2014-08-01T00:00:00Z https://doi.org/10.1371/journal.pntd.0003068 https://doaj.org/article/6549f8366db849fcadea772d5f3e5704 EN eng Public Library of Science (PLoS) http://europepmc.org/articles/PMC4125301?pdf=render https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0003068 https://doaj.org/article/6549f8366db849fcadea772d5f3e5704 PLoS Neglected Tropical Diseases, Vol 8, Iss 8, p e3068 (2014) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2014 ftdoajarticles https://doi.org/10.1371/journal.pntd.0003068 2022-12-31T09:18:33Z BACKGROUND:Understanding the mechanisms that influence the population dynamics and spatial genetic structure of the vectors of pathogens infecting humans is a central issue in tropical epidemiology. In view of the rapid changes in the features of landscape pathogen vectors live in, this issue requires new methods that consider both natural and human systems and their interactions. In this context, individual-based model (IBM) simulations represent powerful yet poorly developed approaches to explore the response of pathogen vectors in heterogeneous social-ecological systems, especially when field experiments cannot be performed. METHODOLOGY/PRINCIPAL FINDINGS:We first present guidelines for the use of a spatially explicit IBM, to simulate population genetics of pathogen vectors in changing landscapes. We then applied our model with Triatoma brasiliensis, originally restricted to sylvatic habitats and now found in peridomestic and domestic habitats, posing as the most important Trypanosoma cruzi vector in Northeastern Brazil. We focused on the effects of vector migration rate, maximum dispersal distance and attraction by domestic habitat on T. brasiliensis population dynamics and spatial genetic structure. Optimized for T. brasiliensis using field data pairwise fixation index (FST) from microsatellite loci, our simulations confirmed the importance of these three variables to understand vector genetic structure at the landscape level. We then ran prospective scenarios accounting for land-use change (deforestation and urbanization), which revealed that human-induced land-use change favored higher genetic diversity among sampling points. CONCLUSIONS/SIGNIFICANCE:Our work shows that mechanistic models may be useful tools to link observed patterns with processes involved in the population genetics of tropical pathogen vectors in heterogeneous social-ecological landscapes. Our hope is that our study may provide a testable and applicable modeling framework to a broad community of epidemiologists for formulating scenarios ... Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic PLoS Neglected Tropical Diseases 8 8 e3068 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
spellingShingle |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 Francois Rebaudo Jane Costa Carlos E Almeida Jean-Francois Silvain Myriam Harry Olivier Dangles Simulating population genetics of pathogen vectors in changing landscapes: guidelines and application with Triatoma brasiliensis. |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
description |
BACKGROUND:Understanding the mechanisms that influence the population dynamics and spatial genetic structure of the vectors of pathogens infecting humans is a central issue in tropical epidemiology. In view of the rapid changes in the features of landscape pathogen vectors live in, this issue requires new methods that consider both natural and human systems and their interactions. In this context, individual-based model (IBM) simulations represent powerful yet poorly developed approaches to explore the response of pathogen vectors in heterogeneous social-ecological systems, especially when field experiments cannot be performed. METHODOLOGY/PRINCIPAL FINDINGS:We first present guidelines for the use of a spatially explicit IBM, to simulate population genetics of pathogen vectors in changing landscapes. We then applied our model with Triatoma brasiliensis, originally restricted to sylvatic habitats and now found in peridomestic and domestic habitats, posing as the most important Trypanosoma cruzi vector in Northeastern Brazil. We focused on the effects of vector migration rate, maximum dispersal distance and attraction by domestic habitat on T. brasiliensis population dynamics and spatial genetic structure. Optimized for T. brasiliensis using field data pairwise fixation index (FST) from microsatellite loci, our simulations confirmed the importance of these three variables to understand vector genetic structure at the landscape level. We then ran prospective scenarios accounting for land-use change (deforestation and urbanization), which revealed that human-induced land-use change favored higher genetic diversity among sampling points. CONCLUSIONS/SIGNIFICANCE:Our work shows that mechanistic models may be useful tools to link observed patterns with processes involved in the population genetics of tropical pathogen vectors in heterogeneous social-ecological landscapes. Our hope is that our study may provide a testable and applicable modeling framework to a broad community of epidemiologists for formulating scenarios ... |
format |
Article in Journal/Newspaper |
author |
Francois Rebaudo Jane Costa Carlos E Almeida Jean-Francois Silvain Myriam Harry Olivier Dangles |
author_facet |
Francois Rebaudo Jane Costa Carlos E Almeida Jean-Francois Silvain Myriam Harry Olivier Dangles |
author_sort |
Francois Rebaudo |
title |
Simulating population genetics of pathogen vectors in changing landscapes: guidelines and application with Triatoma brasiliensis. |
title_short |
Simulating population genetics of pathogen vectors in changing landscapes: guidelines and application with Triatoma brasiliensis. |
title_full |
Simulating population genetics of pathogen vectors in changing landscapes: guidelines and application with Triatoma brasiliensis. |
title_fullStr |
Simulating population genetics of pathogen vectors in changing landscapes: guidelines and application with Triatoma brasiliensis. |
title_full_unstemmed |
Simulating population genetics of pathogen vectors in changing landscapes: guidelines and application with Triatoma brasiliensis. |
title_sort |
simulating population genetics of pathogen vectors in changing landscapes: guidelines and application with triatoma brasiliensis. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2014 |
url |
https://doi.org/10.1371/journal.pntd.0003068 https://doaj.org/article/6549f8366db849fcadea772d5f3e5704 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
PLoS Neglected Tropical Diseases, Vol 8, Iss 8, p e3068 (2014) |
op_relation |
http://europepmc.org/articles/PMC4125301?pdf=render https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0003068 https://doaj.org/article/6549f8366db849fcadea772d5f3e5704 |
op_doi |
https://doi.org/10.1371/journal.pntd.0003068 |
container_title |
PLoS Neglected Tropical Diseases |
container_volume |
8 |
container_issue |
8 |
container_start_page |
e3068 |
_version_ |
1766346018215952384 |