Ag Data Commons
Browse

File(s) stored somewhere else

Please note: Linked content is NOT stored on Ag Data Commons and we can't guarantee its availability, quality, security or accept any liability.

Evaluation of Metabarcoding Methods for Plant Disease Surveillance

dataset
posted on 2024-06-11, 07:00 authored by USDA APHIS
The goal of this study was to evaluate two recently published universal primer sets targeting the DNA gyrase and RNA polymerase beta sub-unit genes (gyrB and rpoB respectively), relative to a plant discriminating 16S primer set (799F/115R) as disease surveillance tools. The primer sets were evaluated with a mock community of plant pathogenic bacteria and naturally infected citrus variegated chlorosis samples. Further validation of the gyrB metabarcoding method was carried out with additional spiked and naturally infected environmental DNA samples. This study aims to increase the accessibility of high-throughput sequencing for the general diagnostics and surveillance of plant-bacterial pathogens.

History

Data contact name

BioProject Curation Staff

Publisher

National Center for Biotechnology Information

Temporal Extent Start Date

2023-01-03

Theme

  • Non-geospatial

ISO Topic Category

  • biota

National Agricultural Library Thesaurus terms

sequence analysis

Pending citation

  • No

Public Access Level

  • Public

Accession Number

PRJNA917542

Preferred dataset citation

It is recommended to cite the accession numbers that are assigned to data submissions, e.g. the GenBank, WGS or SRA accession numbers. If individual BioProjects need to be referenced, state that "The data have been deposited with links to BioProject accession number PRJNA917542 in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject/)."

Usage metrics

    Categories

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC