A Multilocus Sequence Typing Scheme for Rapid Identification of Xanthomonas citri Based on Whole-Genome Sequencing Data
is a plant-pathogenic bacterium associated with a diverse range of host plant species. It has undergone substantial reclassification and currently consists of 14 different subspecies or pathovars that are responsible for a wide range of plant diseases. Whole-genome sequencing (WGS) provides a cuttin...
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Veröffentlicht in: | Phytopathology 2024-07, Vol.114 (7), p.PHYTO12230490R-1489 |
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Sprache: | eng |
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Zusammenfassung: | is a plant-pathogenic bacterium associated with a diverse range of host plant species. It has undergone substantial reclassification and currently consists of 14 different subspecies or pathovars that are responsible for a wide range of plant diseases. Whole-genome sequencing (WGS) provides a cutting-edge advantage over other diagnostic techniques in epidemiological and evolutionary studies of
.
because it has a higher discriminatory power and is replicable across laboratories. WGS also allows for the improvement of multilocus sequence typing (MLST) schemes. In this study, we used genome sequences of
isolates from the NCBI RefSeq database to develop a seven-gene MLST scheme that yielded 19 sequence types (STs) that correlated with phylogenetic clades of
.
subspecies or pathovars. Using this MLST scheme, we examined 2,911
species assemblies from NCBI GenBank and identified 15 novel STs from 37 isolates that were misclassified in NCBI. In total, we identified 545
assemblies from GenBank with 95% average nucleotide identity to the
type strain, and all were classified as one of the 34 STs. All MLST classifications correlated with a phylogenetic position inferred from alignments using 92 conserved genes. We observed several instances where strains from different pathovars formed closely related monophyletic clades and shared the same ST, indicating that further investigation of the validity of these pathovars is required. Our MLST scheme described here is a robust tool for rapid classification of
pathovars using WGS and a powerful method for further comprehensive taxonomic revision of
.
pathovars. |
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ISSN: | 0031-949X 1943-7684 |
DOI: | 10.1094/PHYTO-12-23-0490-R |