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Iruegas Bocardo, F.

Publications and source records attributed to Iruegas Bocardo, F..

2 recordsLinked to original sources

Allelic Diversity and Core Conservation of Type III Effectors Across Xanthomonads Causing Bacterial Spot of Pepper and Tomato

Bacterial spot of tomato and pepper (BST/P) is an economically devastating disease caused by four distinct Xanthomonas pathogens: X. euvesicatoria pv. euvesicatoria (Xe), X. euvesicatoria pv. perforans (Xp), X. hortorum pv. gardneri (Xg), and X. vesicatoria (Xv). A key component of virulence in these pathogens is the type III secretion system (T3SS), which delivers type III effector (T3E) proteins into host plant cells. To comprehensively characterize T3E repertoires and assess the stability of core effectors at a population scale, we evaluated a global dataset comprising 1,037 quality-filtered genomes, including 585 Xp, 350 Xe, 69 Xg, and 33 Xv strains. Across this collection, genes for six effectors were present in 100% of the examined genomes (XopK, XopL, XopM, XopN, XopX, and XopZ1) and an additional four effectors in [≥]95% of genomes (XopK, XopL, XopM, XopN, XopX, and XopZ1). Xp and Xe populations maintained large total effector repertoires with extensive allelic variation, displaying exceptional polymorphism within XopD and XopAD. In contrast, Xg and Xv exhibited highly stable effector profiles with markedly reduced allelic diversification across geographic regions and decades. Disruptive mutations, including early stop codons and frameshifts mutations, in genes for XopAZ, XopAF, and XopAR were prevalent across specific pathogens pointing to ongoing pseudogenization and targeted gene loss. These findings provide a high-resolution characterization of the conserved and variable components of the BST/P pathogen effector arsenal and serve as a foundation for monitoring population evolution and breeding durable disease resistance to multiple pathogens.

genomics↗

PathogenSurveillance: an automated pipeline for population genomic analyses and pathogen identification

Whole genome sequencing (WGS) offers a comprehensive, organism-agnostic method that effectively meets the need for efficient, reliable, and standardized responses to emerging threats from pathogens and pests. Here, we present PathogenSurveillance, an open-source and automated Nextflow pipeline for population genomic analyses of WGS data. It is designed with features tailored for biosurveillance and is suitable for in-field or point-of-care diagnostics. PathogenSurveillance is flexible, accommodating short- and long-read datasets and mixed samples of prokaryotes and/or eukaryotes. It automates all steps, including reference identification and retrieval from the NCBI Assembly database, and produces customizable interactive reports with summaries, phylogenetic trees, and minimum spanning networks that enable species and subspecies level identification. It also outputs quality control metrics and carefully names and organizes output files to facilitate downstream analyses. The pipeline runs on any Linux-based system and minimizes the need for advanced computational expertise. Source code is available on GitHub under the open-source MIT license. The pipeline expands the toolkit for real-time biosurveillance, enabling rapid detection and monitoring of pathogens and pests for rapid response to novel variants.

bioinformatics↗