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Related Experiment Video

Updated: Jul 1, 2026

Fluorescence Live-cell Imaging of the Complete Vegetative Cell Cycle of the Slow-growing Social Bacterium Myxococcus xanthus

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Published on: June 20, 2018

A multilocus sequence analysis of the genus Xanthomonas.

J M Young¹, D-C Park, H M Shearman

¹Landcare Research, Private Bag 92170, Auckland, New Zealand. youngj@clear.net.nz

Systematic and Applied Microbiology

|September 12, 2008

Summary

Multilocus sequence analysis (MLSA) of Xanthomonas spp. using four genes divided strains into two distinct groups, potentially representing new genera. This method offers a powerful tool for bacterial species identification and classification.

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Area of Science:

Bacteriology
Microbial Taxonomy
Molecular Biology

Background:

Accurate classification of bacterial species is crucial for understanding microbial ecology and disease.
Previous classifications of Xanthomonas spp. relied on DNA-DNA reassociation, which has limitations.
Multilocus sequence analysis (MLSA) has emerged as a valuable tool for bacterial phylogenetics.

Purpose of the Study:

To perform a multilocus sequence analysis (MLSA) on all validly published Xanthomonas species.
To evaluate the utility of MLSA for differentiating Xanthomonas species and assessing potential taxonomic revisions.
To investigate the taxonomic status of recently proposed Xanthomonas species.

Main Methods:

Conducted MLSA using four housekeeping genes (dnaK, fyuA, gyrB, rpoD) across 119 strains of Xanthomonas spp.
Generated a total of 440 sequences for comparative analysis.
Constructed a similarity matrix to assess genetic relatedness and species differentiation.

Main Results:

MLSA divided Xanthomonas spp. into two major groups, suggesting potential distinct genera.
The analysis successfully differentiated most established species, aligning with DNA-DNA reassociation results.
Identified ambiguities in the classification of X. cynarae, X. gardneri, and X. hortorum, with X. gardneri possibly being a synonym of X. cynarae.
Recently proposed species like X. alfalfae, X. citri, X. euvesicatoria, X. fuscans, and X. perforans were not clearly differentiated from X. axonopodis, with X. euvesicatoria and X. perforans likely being synonyms.

Conclusions:

MLSA is a powerful and effective method for investigating the complex taxonomy of Xanthomonas.
The study provides a robust dataset supporting the use of MLSA for species identification and the potential establishment of new taxa.
MLSA offers a simpler alternative to DNA-DNA reassociation for future species delineation within the Xanthomonas genus.