Journal of Arthropod-Borne Diseases (Sep 2023)

Metagenomics Characterization of Ixodes ricinus Intestinal Microbiota as Major Vector of Tick-Borne Diseases in Domestic Animals

  • Manijeh Yousefi Behzadi,
  • Atefeh Mehrabi,
  • Mozhgan Ahmadinezhad,
  • Mahdi Rohani,
  • Saeid Reza Naddaf,
  • Amin Bagheri,
  • Masoomeh Shams-Ghahfarokhi,
  • Ebrahim Maghsoudlou,
  • Nooshin Mojahed,
  • Leila Mounesan,
  • Zahra Tahmasebi,
  • Aria Sohrabi,
  • Mostafa Salehi-Vasiri,
  • Zahra Salehi,
  • Mehdi Razzaghi-Abyaneh

DOI
https://doi.org/10.18502/jad.v17i2.13620
Journal volume & issue
Vol. 17, no. 2

Abstract

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Background: Understanding the microbiota of disease vectors can help for developing new strategies to prevent the transmis­sion of vector pathogens. Ixodes ricinus is one of the most notorious tick vectors with increasing importance in Iran and other parts of the world while there is limited data on its microbiota. This study aimed to use metagenomics for identifying the I. ricinus tick’s microbiota of Iran. Methods: A total of 39 adult ticks were collected from Mazandaran (21 females), Gilan (17 females), and Golestan (1 male). Five tick pools prepared from 39 adults of I. ricinus were subjected to metagenomics analysis. The data were analyzed by targeting the V6 region of the 16S rRNA gene by Illumina 4000 Hiseq sequencing. Results: Among hundreds of intestinal microbiota identified by metagenomics, various pathogenic microorganisms distributed in 30 genera and species including those responsible for tick-borne diseases resided in the genera Coxiella, Rickettsia, and Burkholderia were found. Conclusion: Our results indicated that metagenomics identifies bacteria genera and species which cannot be easily rec­ognized by routine methods. The presence of such pathogenic bacteria indicates the importance of possible zoonotic diseases in this region which could affect public health. These results further substantiate the importance of advanced metagenomics analyses to identify neglected tick-borne pathogens which enable researchers to provide efficient mapping roads for the management of emerging and re-emerging infectious diseases.

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