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Preferential Amplification of Pathogenic Sequences.

Fang Ge1, Jayme Parker2, Sang Chul Choi1

  • 1Department of Biology and Wildlife, Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, Alaska, USA.

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|June 13, 2015
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Preferential Amplification of Pathogenic Sequences (PATHseq) enriches pathogen DNA, improving next-generation sequencing (NGS) for diagnosing infections. This method significantly boosts the detection of viral and other pathogens in clinical samples.

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Area of Science:

  • Microbiology
  • Genomics
  • Bioinformatics

Background:

  • Next-generation sequencing (NGS) for pathogen diagnosis is limited by low pathogen sequence abundance in clinical samples.
  • This scarcity necessitates deep sequencing and complex bioinformatics, increasing diagnostic time and cost.
  • Existing methods often require prior knowledge of the pathogen, hindering novel pathogen discovery.

Purpose of the Study:

  • To develop and validate a novel method, PATHseq, for preferential amplification of pathogenic sequences.
  • To overcome the limitations of low pathogen DNA concentration in clinical specimens for NGS-based diagnostics.
  • To provide a fast, sequence-independent approach for pathogen detection and identification.

Main Methods:

  • Development of "non-human primers" (8-10 base pairs) designed to selectively bind pathogen transcripts, not human ones.
  • Utilizing these non-human primers instead of random primers during cDNA library construction.
  • Employing PATHseq to preferentially amplify non-human (pathogenic) sequences before NGS.

Main Results:

  • PATHseq achieved up to 200-fold enrichment of pathogenic sequences in sequencing libraries.
  • The method demonstrated successful amplification of pathogen sequences without prior knowledge of the infectious agent.
  • PATHseq is compatible with existing NGS workflows, enhancing diagnostic capabilities.

Conclusions:

  • PATHseq significantly improves the efficiency and sensitivity of NGS for detecting human pathogens, including viruses.
  • This sequence-independent approach facilitates both the identification of known pathogens and the discovery of novel ones.
  • PATHseq offers a valuable tool for clinical diagnostics and infectious disease research.