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Modelling the potential geographic distribution of triatomines infected by Triatoma virus in the southern cone of South America
BACKGROUND: Triatoma virus (TrV) is the only entomopathogenous virus identified in triatomines. We estimated the potential geographic distribution of triatomine species naturally infected by TrV, using remotely sensed and meteorological environmental variables, to predict new potential areas where t...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4367828/ https://www.ncbi.nlm.nih.gov/pubmed/25881183 http://dx.doi.org/10.1186/s13071-015-0761-1 |
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author | Ceccarelli, Soledad Balsalobre, Agustín Susevich, María Laura Echeverria, María Gabriela Gorla, David Eladio Marti, Gerardo Aníbal |
author_facet | Ceccarelli, Soledad Balsalobre, Agustín Susevich, María Laura Echeverria, María Gabriela Gorla, David Eladio Marti, Gerardo Aníbal |
author_sort | Ceccarelli, Soledad |
collection | PubMed |
description | BACKGROUND: Triatoma virus (TrV) is the only entomopathogenous virus identified in triatomines. We estimated the potential geographic distribution of triatomine species naturally infected by TrV, using remotely sensed and meteorological environmental variables, to predict new potential areas where triatomines infected with TrV may be found. METHODS: Detection of TrV infection in samples was performed with RT-PCR. Ecological niche models (ENM) were constructed using the MaxEnt software. We used 42 environmental variables derived from remotely sensed imagery (AVHRR) and 19 bioclimatic variables (Bioclim). The MaxEnt Jackknife procedure was used to minimize the number of environmental variables that showed an influence on final models. The goodness of fit of the model predictions was evaluated by the mean area under the curve (AUC). RESULTS: We obtained 37 samples of 7 species of triatomines naturally infected with TrV. Of the TrV positive samples, 32% were from sylvatic habitat, 46% came from peridomicile habitats and 22% from domicile habitats. Five of the seven infected species were found only in the sylvatic habitat, one species only in the domicile and only Triatoma infestans was found in the three habitats. The MaxEnt model estimated with the Bioclim dataset identified five environmental variables as best predictors: temperature annual range, mean diurnal range, mean temperature of coldest quarter, temperature seasonality and annual mean temperature. The model using the AVHRR dataset identified six environmental variables: minimum Land Surface Temperature (LST), minimum Middle Infrared Radiation (MIR), LST annual amplitude, MIR annual amplitude annual, LST variance and MIR variance. The potential geographic distribution of triatomine species infected by TrV coincides with the Chaco and the Monte ecoregions either modelled by AVHRR or Bioclim environmental datasets. CONCLUSIONS: Our results show that the conditions of the Dry Chaco ecoregion in Argentina are favourable for the infection of triatomine species with TrV, and open the possibility of its use as a potential agent for the biological control of peridomestic and/or sylvatic triatomine species. Results identify areas of potential occurrence that should be verified in the field. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13071-015-0761-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4367828 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43678282015-03-21 Modelling the potential geographic distribution of triatomines infected by Triatoma virus in the southern cone of South America Ceccarelli, Soledad Balsalobre, Agustín Susevich, María Laura Echeverria, María Gabriela Gorla, David Eladio Marti, Gerardo Aníbal Parasit Vectors Research BACKGROUND: Triatoma virus (TrV) is the only entomopathogenous virus identified in triatomines. We estimated the potential geographic distribution of triatomine species naturally infected by TrV, using remotely sensed and meteorological environmental variables, to predict new potential areas where triatomines infected with TrV may be found. METHODS: Detection of TrV infection in samples was performed with RT-PCR. Ecological niche models (ENM) were constructed using the MaxEnt software. We used 42 environmental variables derived from remotely sensed imagery (AVHRR) and 19 bioclimatic variables (Bioclim). The MaxEnt Jackknife procedure was used to minimize the number of environmental variables that showed an influence on final models. The goodness of fit of the model predictions was evaluated by the mean area under the curve (AUC). RESULTS: We obtained 37 samples of 7 species of triatomines naturally infected with TrV. Of the TrV positive samples, 32% were from sylvatic habitat, 46% came from peridomicile habitats and 22% from domicile habitats. Five of the seven infected species were found only in the sylvatic habitat, one species only in the domicile and only Triatoma infestans was found in the three habitats. The MaxEnt model estimated with the Bioclim dataset identified five environmental variables as best predictors: temperature annual range, mean diurnal range, mean temperature of coldest quarter, temperature seasonality and annual mean temperature. The model using the AVHRR dataset identified six environmental variables: minimum Land Surface Temperature (LST), minimum Middle Infrared Radiation (MIR), LST annual amplitude, MIR annual amplitude annual, LST variance and MIR variance. The potential geographic distribution of triatomine species infected by TrV coincides with the Chaco and the Monte ecoregions either modelled by AVHRR or Bioclim environmental datasets. CONCLUSIONS: Our results show that the conditions of the Dry Chaco ecoregion in Argentina are favourable for the infection of triatomine species with TrV, and open the possibility of its use as a potential agent for the biological control of peridomestic and/or sylvatic triatomine species. Results identify areas of potential occurrence that should be verified in the field. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13071-015-0761-1) contains supplementary material, which is available to authorized users. BioMed Central 2015-03-12 /pmc/articles/PMC4367828/ /pubmed/25881183 http://dx.doi.org/10.1186/s13071-015-0761-1 Text en © Ceccarelli et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Ceccarelli, Soledad Balsalobre, Agustín Susevich, María Laura Echeverria, María Gabriela Gorla, David Eladio Marti, Gerardo Aníbal Modelling the potential geographic distribution of triatomines infected by Triatoma virus in the southern cone of South America |
title | Modelling the potential geographic distribution of triatomines infected by Triatoma virus in the southern cone of South America |
title_full | Modelling the potential geographic distribution of triatomines infected by Triatoma virus in the southern cone of South America |
title_fullStr | Modelling the potential geographic distribution of triatomines infected by Triatoma virus in the southern cone of South America |
title_full_unstemmed | Modelling the potential geographic distribution of triatomines infected by Triatoma virus in the southern cone of South America |
title_short | Modelling the potential geographic distribution of triatomines infected by Triatoma virus in the southern cone of South America |
title_sort | modelling the potential geographic distribution of triatomines infected by triatoma virus in the southern cone of south america |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4367828/ https://www.ncbi.nlm.nih.gov/pubmed/25881183 http://dx.doi.org/10.1186/s13071-015-0761-1 |
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