Core-Genome Multilocus Sequence Typing for Epidemiological and Evolutionary Analyses of Phytopathogenic Xanthomonas citri

Ragupathy, R, Jolley, KA, Zamuner, C, Jones, JB, Redfern, J ORCID: https://orcid.org/0000-0003-0958-683X, Behlau, F, Ferreira, H and Enright, MC (2023) Core-Genome Multilocus Sequence Typing for Epidemiological and Evolutionary Analyses of Phytopathogenic Xanthomonas citri. Applied and Environmental Microbiology, 89 (5). ISSN 0099-2240

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Abstract

Xanthomonas citri subsp. citri is the cause of bacterial citrus canker, responsible for major economic losses to the citrus industry. X. citri subspecies and pathovars are responsible for diseases in soybean, common bean, mango, pomegranate, and cashew. X. citri disease has been tracked using several typing methods, but recent studies using genomic sequencing have been key to understanding the evolutionary relationships within the species, including fundamental differences among X. citri subsp. citri pathotypes. Here, we describe a core-genome multilocus sequence typing (cgMLST) scheme for X. citri based on 250 genomes comprising multiple examples of X. citri subsp. citri pathotypes A, A*, and Aw; X. citri subsp. malvacearum; X. citri pv. aurantifolii, pv. fuscans, pv. glycines, pv. mangiferaeindicae, pv. viticola, and pv. vignicola; and single isolates of X. citri pv. dieffenbachiae and pv. punicae. This data set included genomic sequencing of 100 novel X. citri subsp. citri isolates. cgMLST, based on 1,618 core genes across 250 genomes, is implemented at PubMLST (https://pubmlst.org/organisms/xanthomonas-citri/). GrapeTree minimum-spanning tree and Interactive Tree of Life (iTOL) neighbor-joining phylogenies generated from the cgMLST data resolved almost identical groupings of isolates to a core-genome single nucleotide polymorphism (SNP)-based neighbor-joining phylogeny. These resolved identical groupings of X. citri subsp. citri pathotypes and X. citri subspecies and pathovars. X. citri cgMLST should prove to be an increasingly valuable resource for the study of this key species of plant-pathogenic bacteria. Users can submit genomic data and associated metadata for comparison with previously characterized isolates at PubMLST to allow the rapid characterization of the local, national, and global epidemiology of these pathogens and examine evolutionary relationships.