1887

Abstract

Tick-borne diseases have recently been considered a potential emerging public health threat in Malaysia; however, fundamental studies into tick-borne pathogens and microbiome appear limited. In this study, six tick species (, , and ) collected from two primary forests and an oil palm plantation in Sarawak, Malaysian Borneo, were used for microbiome analysis targeting bacterial 16S rDNA using next-generation sequencing (NGS). In addition, bacterial species were further characterized in conventional PCRs to identify potential pathogens. Sequences generated from NGS were first filtered with the Decontam package in R before subsequent microbial diversity analyses. Alpha and beta analyses revealed that the genus had the highest microbial diversity, and significantly differed in microbial composition from other tick species. Alpha and beta diversities were also significantly different between developmental stages of . Furthermore, we observed that some bacterial groups were significantly more abundant in certain tick species and developmental stages of . We tested the relative abundances using pairwise linear discriminant analysis effect size (LEfSe), which also revealed significant microbial composition differences between -positive and -negative ticks. Finally, pathogenic and potentially pathogenic bacteria circulating in different tick species, such as , sp., sp. and spp. were characterized by PCR and sequencing. Moreover, and -like potential symbionts were identified from and , respectively. More studies are required to unravel the factors associated with the variations observed in this study.

Funding
This study was supported by the:
  • National Institute for Environmental Studies
    • Principle Award Recipient: CC LauAlice
  • This is an open-access article distributed under the terms of the Creative Commons Attribution License.
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2023-02-09
2024-12-07
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