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Rise of Clinical Microbial Proteogenomics: A Multiomics Approach to Nontuberculous Mycobacterium—The Case of Mycobacterium abscessus UC22.

Authors :
Advani, Jayshree
Verma, Renu
Chatterjee, Oishi
Devasahayam Arokia Balaya, Rex
Najar, Mohd Altaf
Ravishankara, Namitha
Suresh, Sneha
Pachori, Praveen Kumar
Gupta, Umesh D.
Pinto, Sneha M.
Chauhan, Devendra S.
Tripathy, Srikanth Prasad
Gowda, Harsha
Prasad, T.S. Keshava
Source :
OMICS: A Journal of Integrative Biology. Jan2019, Vol. 23 Issue 1, p1-16. 16p.
Publication Year :
2019

Abstract

Nontuberculous mycobacterial (NTM) species present a major challenge for global health with serious clinical manifestations ranging from pulmonary to skin infections. Multiomics research and its applications toward clinical microbial proteogenomics offer veritable potentials in this context. For example, the Mycobacterium abscessus, a highly pathogenic NTM, causes bronchopulmonary infection and chronic pulmonary disease. The rough variant of the M. abscessus UC22 strain is extremely virulent and causes lung upper lobe fibrocavitary disease. Although several whole-genome next-generation sequencing studies have characterized the genes in the smooth variant of M. abscessus, a reference genome sequence for the rough variant was generated only recently and calls for further clinical applications. We carried out whole-genome sequencing and proteomic analysis for a clinical isolate of M. abscessus UC22 strain obtained from a pulmonary tuberculosis patient. We identified 5506 single-nucleotide variations (SNVs), 63 insertions, and 76 deletions compared with the reference genome. Using a high-resolution LC-MS/MS-based approach (liquid chromatography tandem mass spectrometry), we obtained protein coding evidence for 3601 proteins, representing 71% of the total predicted genes in this genome. Application of proteogenomic approach further revealed seven novel protein-coding genes and enabled refinement of six computationally derived gene models. We also identified 30 variant peptides corresponding to 16 SNVs known to be associated with drug resistance. These new observations offer promise for clinical applications of microbial proteogenomics and next-generation sequencing, and provide a resource for future global health applications for NTM species. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15362310
Volume :
23
Issue :
1
Database :
Academic Search Index
Journal :
OMICS: A Journal of Integrative Biology
Publication Type :
Academic Journal
Accession number :
134065645
Full Text :
https://doi.org/10.1089/omi.2018.0116