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Presence and potential distribution of malaria-infected New World primates of Costa Rica

BACKGROUND: In South and Central America, Plasmodium malariae/Plasmodium brasilianum, Plasmodium vivax, Plasmodium simium, and Plasmodium falciparum has been reported in New World primates (NWP). Specifically in Costa Rica, the presence of monkeys positive to P. malariae/P brasilianum has been ident...

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Autores principales: Chaves, Andrea, Dolz, Gaby, Ibarra-Cerdeña, Carlos N., Núñez, Genuar, Ortiz-Malavasi E, Edgar, Bernal-Valle, Sofia, Gutiérrez-Espeleta, Gustavo A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8742953/
https://www.ncbi.nlm.nih.gov/pubmed/34998402
http://dx.doi.org/10.1186/s12936-021-04036-y
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author Chaves, Andrea
Dolz, Gaby
Ibarra-Cerdeña, Carlos N.
Núñez, Genuar
Ortiz-Malavasi E, Edgar
Bernal-Valle, Sofia
Gutiérrez-Espeleta, Gustavo A.
author_facet Chaves, Andrea
Dolz, Gaby
Ibarra-Cerdeña, Carlos N.
Núñez, Genuar
Ortiz-Malavasi E, Edgar
Bernal-Valle, Sofia
Gutiérrez-Espeleta, Gustavo A.
author_sort Chaves, Andrea
collection PubMed
description BACKGROUND: In South and Central America, Plasmodium malariae/Plasmodium brasilianum, Plasmodium vivax, Plasmodium simium, and Plasmodium falciparum has been reported in New World primates (NWP). Specifically in Costa Rica, the presence of monkeys positive to P. malariae/P brasilianum has been identified in both captivity and in the wild. The aim of the present study was to determine the presence of P. brasilianum, P. falciparum, and P. vivax, and the potential distribution of these parasites-infecting NWP from Costa Rica. METHODS: The locations with PCR (Polymerase Chain Reaction) positive results and bioclimatic predictors were used to construct ecological niche models based on a modelling environment that uses the Maxent algorithm, named kuenm, capable to manage diverse settings to better estimate the potential distributions and uncertainty indices of the potential distribution. RESULTS: PCR analysis for the Plasmodium presence was conducted in 384 samples of four primates (Howler monkey [n = 130], White-face monkey [n = 132], Squirrel monkey [n = 50], and red spider monkey [n = 72]), from across Costa Rica. Three Plasmodium species were detected in all primate species (P. falciparum, P. malariae/P. brasilianum, and P. vivax). Overall, the infection prevalence was 8.9%, but each Plasmodium species ranged 2.1–3.4%. The niche model approach showed that the Pacific and the Atlantic coastal regions of Costa Rica presented suitable climatic conditions for parasite infections. However, the central pacific coast has a more trustable prediction for malaria in primates. CONCLUSIONS: The results indicate that the regions with higher suitability for Plasmodium transmission in NWP coincide with regions where most human cases have been reported. These regions were also previously identified as areas with high suitability for vector species, suggesting that enzootic and epizootic cycles occur. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12936-021-04036-y.
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spelling pubmed-87429532022-01-10 Presence and potential distribution of malaria-infected New World primates of Costa Rica Chaves, Andrea Dolz, Gaby Ibarra-Cerdeña, Carlos N. Núñez, Genuar Ortiz-Malavasi E, Edgar Bernal-Valle, Sofia Gutiérrez-Espeleta, Gustavo A. Malar J Research BACKGROUND: In South and Central America, Plasmodium malariae/Plasmodium brasilianum, Plasmodium vivax, Plasmodium simium, and Plasmodium falciparum has been reported in New World primates (NWP). Specifically in Costa Rica, the presence of monkeys positive to P. malariae/P brasilianum has been identified in both captivity and in the wild. The aim of the present study was to determine the presence of P. brasilianum, P. falciparum, and P. vivax, and the potential distribution of these parasites-infecting NWP from Costa Rica. METHODS: The locations with PCR (Polymerase Chain Reaction) positive results and bioclimatic predictors were used to construct ecological niche models based on a modelling environment that uses the Maxent algorithm, named kuenm, capable to manage diverse settings to better estimate the potential distributions and uncertainty indices of the potential distribution. RESULTS: PCR analysis for the Plasmodium presence was conducted in 384 samples of four primates (Howler monkey [n = 130], White-face monkey [n = 132], Squirrel monkey [n = 50], and red spider monkey [n = 72]), from across Costa Rica. Three Plasmodium species were detected in all primate species (P. falciparum, P. malariae/P. brasilianum, and P. vivax). Overall, the infection prevalence was 8.9%, but each Plasmodium species ranged 2.1–3.4%. The niche model approach showed that the Pacific and the Atlantic coastal regions of Costa Rica presented suitable climatic conditions for parasite infections. However, the central pacific coast has a more trustable prediction for malaria in primates. CONCLUSIONS: The results indicate that the regions with higher suitability for Plasmodium transmission in NWP coincide with regions where most human cases have been reported. These regions were also previously identified as areas with high suitability for vector species, suggesting that enzootic and epizootic cycles occur. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12936-021-04036-y. BioMed Central 2022-01-08 /pmc/articles/PMC8742953/ /pubmed/34998402 http://dx.doi.org/10.1186/s12936-021-04036-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Chaves, Andrea
Dolz, Gaby
Ibarra-Cerdeña, Carlos N.
Núñez, Genuar
Ortiz-Malavasi E, Edgar
Bernal-Valle, Sofia
Gutiérrez-Espeleta, Gustavo A.
Presence and potential distribution of malaria-infected New World primates of Costa Rica
title Presence and potential distribution of malaria-infected New World primates of Costa Rica
title_full Presence and potential distribution of malaria-infected New World primates of Costa Rica
title_fullStr Presence and potential distribution of malaria-infected New World primates of Costa Rica
title_full_unstemmed Presence and potential distribution of malaria-infected New World primates of Costa Rica
title_short Presence and potential distribution of malaria-infected New World primates of Costa Rica
title_sort presence and potential distribution of malaria-infected new world primates of costa rica
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8742953/
https://www.ncbi.nlm.nih.gov/pubmed/34998402
http://dx.doi.org/10.1186/s12936-021-04036-y
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