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Four In Silico Designed and Validated qPCR Assays to Detect and Discriminate Tilletia   indica and T. walkeri , Individually or as a Complex.

Authors :
Tremblay ÉD
Carey J
Bilodeau GJ
Hambleton S
Source :
Biology [Biology (Basel)] 2021 Dec 08; Vol. 10 (12). Date of Electronic Publication: 2021 Dec 08.
Publication Year :
2021

Abstract

Several fungi classified in the genus Tilletia are well-known to infect grass species including wheat ( Triticum ). Tilletia indica is a highly unwanted wheat pathogen causing Karnal bunt, subject to quarantine regulations in many countries. Historically, suspected Karnal bunt infections were identified by morphology, a labour-intensive process to rule out other tuberculate-spored species that may be found as contaminants in grain shipments, and the closely-related pathogen T. walkeri on ryegrass ( Lolium ). Molecular biology advances have brought numerous detection tools to discriminate Tilletia congeners (PCR, qPCR, etc.). While those tests may help to identify T. indica more rapidly, they share weaknesses of targeting insufficiently variable markers or lacking sensitivity in a zero-tolerance context. A recent approach used comparative genomics to identify unique regions within target species, and qPCR assays were designed in silico. This study validated four qPCR tests based on single-copy genomic regions and with highly sensitive limits of detection (~200 fg), two to detect T. indica and T. walkeri separately, and two newly designed, targeting both species as a complex. The assays were challenged with reference DNA of the targets, their close relatives, other crop pathogens, the wheat host, and environmental specimens, ensuring a high level of specificity for accurate discrimination.

Details

Language :
English
ISSN :
2079-7737
Volume :
10
Issue :
12
Database :
MEDLINE
Journal :
Biology
Publication Type :
Academic Journal
Accession number :
34943210
Full Text :
https://doi.org/10.3390/biology10121295