ArticlePeerJ2018
Genome-Enhanced Detection and Identification (GEDI) of plant pathogens.
Article in PeerJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
12 citing papers in PubMed, 29 citations in OpenAlex.
- Integrated taxonomy and genomic analysis of Marssonina zanthoxyli, the causal agent of prickly ash leaf defoliation.BMC genomics · 2026Article
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- Genome sequences of three genetic lineages of the fungusMicrobiology resource announcements · 2024Article
- Harnessing the power of comparative genomics to support the distinction of sister species withinPeerJ · 2023Article
- New-Generation Sequencing Technology in Diagnosis of Fungal Plant Pathogens: A Dream Comes True?Journal of fungi (Basel, Switzerland) · 2022Review
- Comparative genome analyses suggest a hemibiotrophic lifestyle and virulence differences for the beech bark disease fungal pathogens Neonectria faginata and Neonectria coccinea.G3 (Bethesda, Md.) · 2021Article
- The development of a novel diagnostic PCR for Madurella mycetomatis using a comparative genome approach.PLoS neglected tropical diseases · 2020Article
- In Situ Processing and Efficient Environmental Detection (iSPEED) of tree pests and pathogens using point-of-use real-time PCR.PloS one · 2020Article
- Molecular assays to detect the presence and viability of Phytophthora ramorum and Grosmannia clavigera.PloS one · 2020Article
- Genomic biosurveillance of forest invasive alien enemies: A story written in code.Evolutionary applications · 2020Review
- Article
- Genome-enhanced detection and identification of fungal pathogens responsible for pine and poplar rust diseases.PloS one · 2019Article
Corrections and comments
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Authors and funding
19 authors at 11 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.