| Tick borne microbial agents in Iran and the adjacent countries: A meta-analysis based on the GenBank database |
| Paper ID : 1131-IPCA4 (R1) |
| Authors |
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Asadollah Hosseini-Chegeni * Department of Plant Protection, Faculty of Agriculture, Lorestan University, Khorramabbad, Iran |
| Abstract |
| Introduction: Current knowledge about tick-borne microbial agents and their associated vectors is limited in Iran and its neighbouring countries. The aim of this study was to use available DNA sequence data to evaluate the infection of ixodida (ticks) of the region with human and animal pathogenic organisms. Materials and methods: A meta-analysis approach based on available GenBank DNA sequences up to December 10, 2021 was performed to find out microbial agents (bacteria, protozoa and viruses) related to ticks. Briefly, this novel approaches uses an approach containing 1. Search for crude data (DNA sequences), 2. Search for species microbial taxa, so two subdivisions; 3. Specific taxa strategy or 4. Unidentified taxa strategy (uncultured / at genus and even species level), then 4-1. Find regions of identity between sequences using BLASTn, 3-1. Sequence search, and a final goal of “select of various isolates based on different tick host species”. Results: Totally 2139 crude DNA sequences (1499 bacterium, 320 viruses, and 320 protozoan parasites) were used in this analysis. Most of the microbial agents (between 21-40 taxa) were submitted from Turkey and Iran. Rickettsia aeschlimannii, Ri. slovaca (bacteria), Theileria annulata, T. ovis (protozoa) and CCHF (viruses), were the most prevalent microbial agents circulating among tick species in the region. Discussion: In this review study a novel approach was used while in most classical review the result of published articles is analyzed. The results of this study play an important role in informing the public health and veterinary diagnostic systems for the entry of microbial agents through invasive infected ticks into the country through livestock and wild animals movement and the migratory birds. |
| Keywords |
| BLASTn analysis, Identity, Bacteria, Parasite, Virus, Novel approach |
| Status: Abstract Accepted (Oral Presentation) |