Proteogenomic Investigation of Strain Variation in Clinical Mycobacterium tuberculosis Isolates.
Tiaan HeunisAnzaan DippenaarRobin M WarrenPaul D van HeldenRuben G van der MerweNicolaas C Gey van PittiusArnab PainSamantha L SampsonDavid L TabbPublished in: Journal of proteome research (2017)
Mycobacterium tuberculosis consists of a large number of different strains that display unique virulence characteristics. Whole-genome sequencing has revealed substantial genetic diversity among clinical M. tuberculosis isolates, and elucidating the phenotypic variation encoded by this genetic diversity will be of the utmost importance to fully understand M. tuberculosis biology and pathogenicity. In this study, we integrated whole-genome sequencing and mass spectrometry (GeLC-MS/MS) to reveal strain-specific characteristics in the proteomes of two clinical M. tuberculosis Latin American-Mediterranean isolates. Using this approach, we identified 59 peptides containing single amino acid variants, which covered ∼9% of all coding nonsynonymous single nucleotide variants detected by whole-genome sequencing. Furthermore, we identified 29 distinct peptides that mapped to a hypothetical protein not present in the M. tuberculosis H37Rv reference proteome. Here, we provide evidence for the expression of this protein in the clinical M. tuberculosis SAWC3651 isolate. The strain-specific databases enabled confirmation of genomic differences (i.e., large genomic regions of difference and nonsynonymous single nucleotide variants) in these two clinical M. tuberculosis isolates and allowed strain differentiation at the proteome level. Our results contribute to the growing field of clinical microbial proteogenomics and can improve our understanding of phenotypic variation in clinical M. tuberculosis isolates.
Keyphrases
- mycobacterium tuberculosis
- genetic diversity
- pulmonary tuberculosis
- mass spectrometry
- ms ms
- escherichia coli
- copy number
- hiv aids
- staphylococcus aureus
- emergency department
- pseudomonas aeruginosa
- adverse drug
- long non coding rna
- binding protein
- antiretroviral therapy
- high performance liquid chromatography
- electronic health record