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Rapid Identification of Pathogens

MALDI-TOF MS has transformed clinical microbiology by offering a rapid and reliable method for pathogen identification. The traditional approach to microbial identification typically involves time-consuming culture techniques and biochemical tests, which can delay the initiation of appropriate antimicrobial therapy. MALDI-TOF MS avoids these delays by using characteristic ribosomal protein mass patterns of microbial cells, enabling accurate species-level identification within minutes.Principle...

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Related Experiment Video

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Nanopore DNA Sequencing for Metagenomic Soil Analysis
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Nanopore Sequencing with GraphMap for Comprehensive Pathogen Detection in Potato Field Soil.

Lauren E Braley1, Jeremy B Jewell1, Jose Figueroa2,3

  • 1Department of Plant Pathology, Washington State University, Pullman, WA 99164-6430, U.S.A.

Plant Disease
|February 1, 2023
PubMed
Summary

Early pathogen detection in potato fields is crucial. Nanopore sequencing with GraphMap offers a fast, portable molecular diagnostic tool for identifying soilborne pathogens before planting, aiding disease management.

Keywords:
MinIONcomprehensive pathogen detectionlong-read sequencingpathogen detectionpotato field soilpowdery scab

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Area of Science:

  • Agricultural Science
  • Molecular Biology
  • Genomics

Background:

  • Early detection of crop pathogens is vital for preventing disease and crop loss.
  • Soilborne diseases are challenging to diagnose due to subtle or absent symptoms.
  • Molecular diagnostics offer a promising avenue for accurate pathogen identification.

Purpose of the Study:

  • To evaluate the Oxford Nanopore MinION sequencer for molecular diagnosis of soilborne pathogens in potato fields.
  • To assess the efficiency of different sequence mapping tools for pathogen identification.
  • To develop a portable and comprehensive pathogen detection method.

Main Methods:

  • DNA/RNA extraction from potato field soil samples.
  • Sequencing using the Oxford Nanopore MinION platform.
  • Sequence analysis and pathogen identification via mapping against a curated database.
  • Computational speed comparison of BLAST, BWA-BLAST, and BWA-GraphMap tools.

Main Results:

  • The Nanopore MinION demonstrated potential as a minimally biased diagnostic tool for comprehensive pathogen detection.
  • BWA-GraphMap was identified as the fastest tool for local sequence mapping against the pathogen database.
  • The developed method enables pathogen identification in soil prior to planting.

Conclusions:

  • Nanopore sequencing presents a viable, portable molecular diagnostic approach for soilborne pathogens in agriculture.
  • The GraphMap-based analysis pipeline is efficient and adaptable for various cropping systems and pathogen diagnostics.
  • This predictive approach can significantly enhance agricultural disease management strategies.