Genetic diversity of Bm86 sequences in Rhipicephalus (Boophilus) microplus ticks from Mexico: Analysis of haplotype distribution patterns

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Abstract

Background: Ticks are a problem for cattle production mainly in tropical and subtropical regions, because they generate great economic losses. Acaricides and vaccines have been used to try to keep tick populations under control. This has been proven difficult given the resistance to acaricides and vaccines observed in ticks. Resistance to protein rBm86-based vaccines has been associated with the genetic diversity of Bm86 among the ectoparasite's populations. So far, neither genetic diversity, nor spatial distribution of circulating Bm86 haplotypes, have been studied within the Mexican territory. Here, we explored the genetic diversity of 125 Bm86 cDNA gene sequences from R. microplus from 10 endemic areas of Mexico by analyzing haplotype distribution patterns to help in understanding the population genetic structure of Mexican ticks. Results: Our results showed an average nucleotide identity among the Mexican isolates of 98.3%, ranging from 91.1 to 100%. Divergence between the Mexican and Yeerongpilly (the Bm86 reference vaccine antigen) sequences ranged from 3.1 to 7.4%. Based on the geographic distribution of Bm86 haplotypes in Mexico, our results suggest gene flow occurrence within different regions of the Mexican territory, and even the USA. Conclusions: The polymorphism of Bm86 found in the populations included in this study, could account for the poor efficacy of the current Bm86 antigen based commercial vaccine in many regions of Mexico. Our data may contribute towards designing new, highly-specific, Bm86 antigen vaccine candidates against R. microplus circulating in Mexico.

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Martínez-Arzate, S. G., Sánchez-Bermúdez, J. C., Sotelo-Gómez, S., Diaz-Albiter, H. M., Hegazy-Hassan, W., Tenorio-Borroto, E., … Vázquez-Chagoyán, J. C. (2019). Genetic diversity of Bm86 sequences in Rhipicephalus (Boophilus) microplus ticks from Mexico: Analysis of haplotype distribution patterns. BMC Genetics, 20(1). https://doi.org/10.1186/s12863-019-0754-8

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