ArticleMolecular plant pathology2023
Evaluation of the taxonomic accuracy and pathogenicity prediction power of 16 primer sets amplifying single copy marker genes in the Pseudomonas syringae species complex.
Article in Molecular plant pathology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- EasyKASP: a simple and fast tool for KASP primer design.BMC bioinformatics · 2025Article
- Tailocin tail fiber diversity correlates with rfbD variation in theISME communications · 2025Article
- Naïve Bayes Classifiers and accompanying dataset for Pseudomonas syringae isolate characterization.Scientific data · 2024Article
- Diversity of Culture Microorganisms from Portuguese Sweet Cherries.Life (Basel, Switzerland) · 2023Article
- Evaluation of the taxonomic accuracy and pathogenicity prediction power of 16 primer sets amplifying single copy marker genes in the Pseudomonas syringae species complex.Molecular plant pathology · 2023Article
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3 authors.
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Abstract
The Pseudomonas syringae species complex is composed of several closely related species of bacterial plant pathogens. Here, we used in silico methods to assess 16 PCR primer sets designed for broad identification of isolates throughout the species complex. We evaluated their in silico amplification rate in 2161 publicly available genomes, the correlation between pairwise amplicon sequence distance and whole genome average nucleotide identity, and trained naive Bayes classification models to quantify classification resolution. Furthermore, we show the potential for using single amplicon sequence data to predict type III effector protein repertoires, which are important determinants of host specificity and range.
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