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August 24, 2019Ticks and Tick-borne DiseasesOpen Access

Development of a deep amplicon sequencing method to determine the species composition of piroplasm haemoprotozoa

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Authors

UCUmer ChaudhryQAQasim AliIRImran Rashid

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Overview

Experimental study demonstrates accurate profiling of mixed piroplasm infections in ruminants, highlighting deep amplicon sequencing's utility for tracking parasite communities.

Key Points

  • To develop and validate a deep amplicon sequencing platform to identify species composition and quantify relative proportions within mixed piroplasm haemoprotozoa infections.
  • Constructed mock DNA pools using four phenotypically verified Theileria and Babesia species across varying PCR cycles to assess sequence representation, detection thresholds, and proportional quantification accuracy.
  • Applied the assay to field blood samples collected from small and large ruminants in the Punjab province of Pakistan to profile natural piroplasm community compositions.
  • Established a high-throughput deep amplicon sequencing workflow that accurately identifies species proportions within complex co-infecting piroplasm communities.
  • Successfully characterized multi-species piroplasm infections in field-derived livestock samples, demonstrating the real-world utility of the haemoprotobiome framework.

Cite This Study

Chaudhry et al. (2019) studied this question.

synapsesocial.com/papers/6a7fe6c07f27fdae4f502965https://doi.org/10.1016/j.ttbdis.2019.101276
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