title: A phylogenomic approach to bacterial subspecies classification: proof of concept in Mycobacterium abscessus.
abstract: BACKGROUND
  Mycobacterium abscessus is a rapidly growing mycobacterium that is often associated with human infections. The taxonomy of this species has undergone several revisions and is still being debated. In this study, we sequenced the genomes of 12 M. abscessus strains and used phylogenomic analysis to perform subspecies classification.
  
  
  RESULTS
  A data mining approach was used to rank and select informative genes based on the relative entropy metric for the construction of a phylogenetic tree. The resulting tree topology was similar to that generated using the concatenation of five classical housekeeping genes: rpoB, hsp65, secA, recA and sodA. Additional support for the reliability of the subspecies classification came from the analysis of erm41 and ITS gene sequences, single nucleotide polymorphisms (SNPs)-based classification and strain clustering demonstrated by a variable number tandem repeat (VNTR) assay and a multilocus sequence analysis (MLSA). We subsequently found that the concatenation of a minimal set of three median-ranked genes: DNA polymerase III subunit alpha (polC), 4-hydroxy-2-ketovalerate aldolase (Hoa) and cell division protein FtsZ (ftsZ), is sufficient to recover the same tree topology. PCR assays designed specifically for these genes showed that all three genes could be amplified in the reference strain of M. abscessus ATCC 19977T.
  
  
  CONCLUSIONS
  This study provides proof of concept that whole-genome sequence-based data mining approach can provide confirmatory evidence of the phylogenetic informativeness of existing markers, as well as lead to the discovery of a more economical and informative set of markers that produces similar subspecies classification in M. abscessus. The systematic procedure used in this study to choose the informative minimal set of gene markers can potentially be applied to species or subspecies classification of other bacteria.
authors: Joon Liang
authors: JL
authors: Tan
authors: Department of Oral Biology and Biomedical Sciences, Faculty of Dentistry, University of Malaya, 50603, Kuala Lumpur, Malaysia. tfkhang@um.edu.my.
authors: Tsung Fei
authors: TF
authors: Khang
authors: Yun Fong
authors: YF
authors: Ngeow
authors: Siew Woh
authors: SW
authors: Choo
mesh_terms: D015373:Bacterial Typing Techniques; D001483:Base Sequence; D004269:DNA, Bacterial / Q000235:genetics; D057225:Data Mining; D005798:Genes, Bacterial; D023281:Genomics / Q000379:methods*; D018598:Minisatellite Repeats; D008969:Molecular Sequence Data; D058885:Multilocus Sequence Typing; D009161:Mycobacterium / Q000145:classification* / Q000235:genetics; D010802:Phylogeny; D020641:Polymorphism, Single Nucleotide; D017422:Sequence Analysis, DNA
chemical_list: D004269:DNA, Bacterial