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Updated: Feb 3, 2026
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Characterization of a Pathogenic Escherichia coli Strain Derived from Oreochromis spp. Farms Using Whole-Genome Sequencing
Published on: December 23, 2022
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Development and evaluation of a core genome multilocus sequence typing (cgMLST) scheme for Brucella spp
Jagadesan Sankarasubramanian1, Udayakumar S Vishnu1, Paramasamy Gunasekaran2
1Department of Genetics, School of Biological Sciences, Madurai Kamaraj University, Madurai 625021, Tamil Nadu, India.
Summary
A new core genome multilocus sequence typing (cgMLST) scheme effectively differentiates Brucella species and biovars. This tool, integrated into BrucellaBase, aids in classifying Brucella strains for improved disease control.
Area of Science:
- Microbiology
- Genomics
- Zoonotic Diseases
Background:
- Brucellosis is a significant zoonotic disease caused by Brucella species.
- Multilocus sequence typing (MLST) is a common method for subtyping Brucella, targeting housekeeping genes.
Purpose of the Study:
- To develop a core genome MLST (cgMLST) scheme for precise differentiation of Brucella species and biovars.
- To create a phylogenetic framework for Brucella based on cgMLST data.
Main Methods:
- Utilized 407 whole genome sequences of Brucella strains.
- Developed a cgMLST scheme using 164 shared target loci identified via BLAST score ratio (BSR) filtering.
- Constructed a phylogenetic tree based on 287 distinct sequence types (STs) generated by the cgMLST scheme.
Main Results:
- The cgMLST scheme successfully differentiated all 11 Brucella species and five B. suis biovars.
- Phylogenetic analysis revealed distinct clades for B. vulpis, B. inopinata, and B. microti.
- Geographic origins influenced the clustering of B. abortus and B. melitensis subgroups.
- Marine mammal-associated Brucella (B. ceti, B. pinnipedialis) showed close relationships, with B. ceti strains further differentiated.
Conclusions:
- The developed cgMLST scheme provides high-resolution typing for Brucella, enabling differentiation up to the biovar level.
- The cgMLST tool integrated into BrucellaBase facilitates the prediction of allelic profiles and STs for new genomes.
- This advancement aids in tracking Brucella strains and understanding their epidemiology.
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