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Micropathogen community analysis in Hyalomma rufipes via high-throughput sequencing of small RNAs

Abstract:
Ticks are important vectors in the transmission of a broad range of micropathogens to vertebrates, including humans. Because of the role of ticks in disease transmission, identifying and characterizing the micropathogen profiles of tick populations have become increasingly important. The objective of this study was to survey the micropathogens of Hyalomma rufipes ticks. Illumina HiSeq2000 technology was utilized to perform deep sequencing of small RNAs (sRNAs) extracted from field-collected H. rufipes ticks in Gansu Province, China. The resultant sRNA library data revealed that the surveyed tick populations produced reads that were homologous to St. Croix River Virus (SCRV) sequences. We also observed many reads that were homologous to microbial and/or pathogenic isolates, including bacteria, protozoa, and fungi. As part of this analysis, a phylogenetic tree was constructed to display the relationships among the homologous sequences that were identified. The study offered a unique opportunity to gain insight into the micropathogens of H. rufipes ticks. The effective control of arthropod vectors in the future will require knowledge of the micropathogen composition of vectors harboring infectious agents. Understanding the ecological factors that regulate vector propagation in association with the prevalence and persistence of micropathogen lineages is also imperative. These interactions may affect the evolution of micropathogen lineages, especially if the micropathogens rely on the vector or host for dispersal. The sRNA deep-sequencing approach used in this analysis provides an intuitive method to survey micropathogen prevalence in ticks and other vector species.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.3389/fcimb.2017.00374

Authors



Publisher:
Frontiers Media
Journal:
Frontiers in Cellular and Infection Microbiology More from this journal
Volume:
7
Issue:
AUG
Article number:
374
Publication date:
2017-08-15
Acceptance date:
2017-08-02
DOI:
ISSN:
2235-2988
Pmid:
28861401


Language:
English
Keywords:
Pubs id:
pubs:724504
UUID:
uuid:f459fe24-a787-4b11-8e02-cf82151acf0d
Local pid:
pubs:724504
Source identifiers:
724504
Deposit date:
2018-03-23

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