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RSSC-Lineage Multiplex PCR Assay Detects and Differentiates Ralstonia solanacearum, R. pseudosolanacearum, R. syzygii, and the R3bv2 Subgroup

Authors :
Sujan Paudel
Shefali Dobhal
Tiffany Lowe-Power
Robert L. Schlub
John Hu
Caitilyn Allen
Anne M. Alvarez
Mohammad Arif
Source :
PhytoFrontiers, Vol 4, Iss 3, Pp 328-338 (2024)
Publication Year :
2024
Publisher :
The American Phytopathological Society, 2024.

Abstract

Bacterial wilt strains in the Ralstonia solanacearum species complex (RSSC) pose serious threats to economically important crops worldwide. In 2014, Safni et al. proposed the reclassification of the RSSC into three genomospecies: R. solanacearum (Rsol), R. pseudosolanacearum (Rpseu), and R. syzygii (Rsyz). The revision requires the proper identification of strains for diagnostic and epidemiological studies. In response, we developed the inexpensive and user-friendly RSSC-Lineage Multiplex PCR, which effectively detects plant-pathogenic Ralstonia strains in general and also distinguishes between Rpseu, Rsol, Rsyz, and the high-security Select Agent “race 3 biovar 2” subgroup of Rsol, also known as the phylotype IIB-1 potato brown rot pandemic lineage. Genomes were retrieved from the NCBI GenBank database and screened for unique gene regions using OrthoMCL and other comparative genomic approaches. Specific primers were designed for each genomospecies, Ralstonia in general, and “race 3 biovar 2.” AT-rich flaps were added at the 5ʹ position of each primer to optimize the reaction thermodynamics. The specificity was tested in silico using the NCBI GenBank genome database and an in-house database. The in vitro specificity and accuracy of the tool was validated with 113 representative Ralstonia strains and 24 strains from other genera. The assay is highly specific, generating neither false positives nor false negatives. Primer set detection limits ranged from 10 to 100 pg. The assay also detected and differentiated strains from naturally and artificially inoculated plant hosts. This tool is highly specific, reliable, and economical for culture characterization, diagnostics, surveys, quarantine decisions, and epidemiological studies. [Figure: see text] Copyright © 2024 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.

Details

Language :
English
ISSN :
26905442
Volume :
4
Issue :
3
Database :
Directory of Open Access Journals
Journal :
PhytoFrontiers
Publication Type :
Academic Journal
Accession number :
edsdoj.bc038d4ad75149d89f49386cc0150473
Document Type :
article
Full Text :
https://doi.org/10.1094/PHYTOFR-07-23-0087-R