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Genome-Enhanced Detection and Identification (GEDI) of plant pathogens.

Authors :
Feau N
Beauseigle S
Bergeron MJ
Bilodeau GJ
Birol I
Cervantes-Arango S
Dhillon B
Dale AL
Herath P
Jones SJM
Lamarche J
Ojeda DI
Sakalidis ML
Taylor G
Tsui CKM
Uzunovic A
Yueh H
Tanguay P
Hamelin RC
Source :
PeerJ [PeerJ] 2018 Feb 22; Vol. 6, pp. e4392. Date of Electronic Publication: 2018 Feb 22 (Print Publication: 2018).
Publication Year :
2018

Abstract

Plant diseases caused by fungi and Oomycetes represent worldwide threats to crops and forest ecosystems. Effective prevention and appropriate management of emerging diseases rely on rapid detection and identification of the causal pathogens. The increase in genomic resources makes it possible to generate novel genome-enhanced DNA detection assays that can exploit whole genomes to discover candidate genes for pathogen detection. A pipeline was developed to identify genome regions that discriminate taxa or groups of taxa and can be converted into PCR assays. The modular pipeline is comprised of four components: (1) selection and genome sequencing of phylogenetically related taxa, (2) identification of clusters of orthologous genes, (3) elimination of false positives by filtering, and (4) assay design. This pipeline was applied to some of the most important plant pathogens across three broad taxonomic groups: Phytophthoras (Stramenopiles, Oomycota), Dothideomycetes (Fungi, Ascomycota) and Pucciniales (Fungi, Basidiomycota). Comparison of 73 fungal and Oomycete genomes led the discovery of 5,939 gene clusters that were unique to the targeted taxa and an additional 535 that were common at higher taxonomic levels. Approximately 28% of the 299 tested were converted into qPCR assays that met our set of specificity criteria. This work demonstrates that a genome-wide approach can efficiently identify multiple taxon-specific genome regions that can be converted into highly specific PCR assays. The possibility to easily obtain multiple alternative regions to design highly specific qPCR assays should be of great help in tackling challenging cases for which higher taxon-resolution is needed.<br />Competing Interests: The authors declare there are no competing interests.

Details

Language :
English
ISSN :
2167-8359
Volume :
6
Database :
MEDLINE
Journal :
PeerJ
Publication Type :
Academic Journal
Accession number :
29492338
Full Text :
https://doi.org/10.7717/peerj.4392