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Molecular Detection and Characterization of Ehrlichia canis Isolates from Three Geographic Regions in Mexico: A Retrospective Study.

José Juan Lira-AmayaDiana Marcela Beristain-RuízJesús Racanco-DelgadoJavier A Garza-HernándezCuauhcihuatl Vital-GarcíaMontserrat Santamaria-EspinosaGrecia Martínez-GarcíaAntonio Alvarez-MartínezAndrés Quezada-CasasolaCarmen RojasBeatriz Alvarado-RoblesJulio V Figueroa Millán
Published in: Life (Basel, Switzerland) (2023)
Canine monocytic ehrlichiosis (CME) is the most common tick-borne disease affecting domestic dogs and other wild canids. It has a worldwide distribution and is associated with the presence of the brown dog tick. Few studies have been conducted in Mexico to identify and characterize Ehrlichia canis genetic variability. In the present study, 111 dogs of different sex, breed, and age from three geographic regions in Mexico were included. All of them had a previous history of tick infestation and/or the presence of one or more clinical signs compatible with CME. All dogs were tested by a commercial ELISA and nested PCR assay for the detection of E. canis. In addition, we analyzed the E. canis genetic diversity from the 16S rRNA gene sequences obtained in this study, along with 15 additional sequences described for E. canis in Mexico and obtained from GeneBank. Serological detection by commercial ELISA results showed overall infection rates of 85.58% (95/111), including 73.1% (30/41) in samples from Guerrero state; 75% (15/20) in Morelos; and 100% (50/50) in Chihuahua. On the other hand, molecular detection (nPCR assay) showed 31.5% (35/111) overall infection rate, with 41.4% (17/41) in Guerrero state; 55% (11/20) in Morelos; and 14% (7/50) in Chihuahua. We observed a high 16S rRNA gene sequence conservancy in most of the E. canis isolates in the three geographical areas from Mexico, including those analyzed in this research, suggesting a common geographic origin among isolates.
Keyphrases
  • genetic diversity
  • genome wide
  • copy number
  • high throughput
  • transcription factor
  • quantum dots
  • genome wide analysis