Abstract
Background
Trypanosoma are protozoa parasites that infect animals and can cause economic losses in cattle production. Trypanosoma live in the blood and are transmitted by hematophagous insects, such as flies in the genus Tabanus. Using ecological niche models, we explored the current geography of six common Tabanus species in Brazil, which are considered vectors of Trypanosoma vivax and Tr. evansi in the Neotropics.
Methods
We used georeferenced data and biotic and abiotic variables integrated using a fundamental ecological niche modeling approach. Modeling results from six Tabanus species were used to identify risk areas of Trypanosoma transmission in Latin America accounting for area predicted, landscape conditions, and density of livestock. We performed Jaccard, Schoener, and Hellinger metrics to indicate the ecological niche similarities of pairs of Tabanus species to identify known and likely vectors overlapping in distribution across geographies.
Results
Our results revealed significant ecological niche similarities for two Tabanus species (T. pungens and T. sorbillans), whereas T. triangulum and T. importunus have low ecological similarity. Ecological niche models predicted risk of Trypanosoma transmission across Neotropical countries, with the highest risk in southern South America, Venezuela, and central Mexico.
Conclusions
More than 1.6 billion cattle and 38 million horses are under a threat category for infection risk. Furthermore, we identified specific areas and livestock populations at high risk of trypanosomiasis in Latin America. This study reveals the areas, landscapes, and populations at risk of Trypanosoma infections in livestock in the Americas.
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Details
1 Universidade Federal de Pelotas, Programa de Pós-Graduação em Parasitologia, Departamento de Microbiologia e Parasitologia, Instituto de Biologia, Rio Grande do Sul, Brazil (GRID:grid.411221.5) (ISNI:0000 0001 2134 6519); Instituto de Ciencias de la Benemérita Universidad Autónoma de Puebla, Laboratorio de Biodiversidad, Centro de Agroecología y Ambiente, Puebla, México (GRID:grid.411659.e) (ISNI:0000 0001 2112 2750); Coordenação de Ciências Biológicas, Universidade Federal do Tocantins, Laboratório de Entomologia, Tocantins, Brazil (GRID:grid.440570.2) (ISNI:0000 0001 1550 1623)
2 Instituto de Ciencias de la Benemérita Universidad Autónoma de Puebla, Laboratorio de Biodiversidad, Centro de Agroecología y Ambiente, Puebla, México (GRID:grid.411659.e) (ISNI:0000 0001 2112 2750); Laboratorio Nacional CONAHCYT de Biología del Cambio Climático, Veracruz, México (GRID:grid.411659.e)
3 Virginia Tech, Department of Fish and Wildlife Conservation, Blacksburg, USA (GRID:grid.438526.e) (ISNI:0000 0001 0694 4940)
4 Coordenação de Ciências Biológicas, Universidade Federal do Tocantins, Laboratório de Entomologia, Tocantins, Brazil (GRID:grid.440570.2) (ISNI:0000 0001 1550 1623)
5 Universidade Federal de Pelotas, Programa de Pós-Graduação em Parasitologia, Departamento de Microbiologia e Parasitologia, Instituto de Biologia, Rio Grande do Sul, Brazil (GRID:grid.411221.5) (ISNI:0000 0001 2134 6519); Universidade Federal de Pelotas, Laboratório de Ecologia de Parasitos e Vetores, Departamento de Microbiologia e Parasitologia, Instituto de Biologia, Rio Grande do Sul, Brazil (GRID:grid.411221.5) (ISNI:0000 0001 2134 6519)