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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
Published on: December 7, 2021
Assignment of Streptococcus agalactiae isolates to clonal complexes using a small set of single nucleotide
Erin Honsa1, Thomas Fricke, Alex J Stephens
1Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, Queensland, Australia. erin.honsa@hotmail.com
BMC Microbiology
|August 20, 2008
Summary
A new five single nucleotide polymorphism (SNP) method effectively categorizes Streptococcus agalactiae (Group B Streptococcus) isolates into biologically relevant groups. This approach enhances surveillance and genetic analysis of this important human pathogen.
Area of Science:
- Microbiology
- Genetics
- Epidemiology
Background:
- Streptococcus agalactiae (Group B Streptococcus, GBS) is a significant human pathogen, especially impacting newborns.
- The need for efficient GBS typing methods is increasing due to evidence linking genotype to virulence.
- Current typing methods require refinement for accurate population structure analysis.
Purpose of the Study:
- To develop a novel single nucleotide polymorphism (SNP) based method for GBS typing.
- To assign GBS isolates to established multilocus sequence typing (MLST)-defined clonal complexes.
- To create a high-throughput, cost-effective GBS genotyping tool.
Main Methods:
- Utilized the "Not-N" bioinformatic algorithm for identifying diagnostic SNPs.
- Developed a five-SNP set through empirical testing and analysis of MLST data.
- Applied kinetic Polymerase Chain Reaction (PCR) for SNP interrogation in 116 GBS isolates.
Main Results:
- An initial SNP set showed poor resolution due to low diversity and high horizontal gene transfer.
- The refined five-SNP set successfully divided GBS into 10 groups, aligning with population structure.
- A fifth SNP improved detection of the clinically important clonal complex 17 to 100% sensitivity.
Conclusions:
- A robust five-SNP genotyping method for GBS has been established.
- This method provides biologically valid groupings suitable for high-throughput surveillance.
- The SNP method can be combined with other loci for enhanced genetic resolution when needed.
