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OMICS. 2019 Jun;23(6):318-326. doi: 10.1089/omi.2019.0039. Epub 2019 May 22.

Global Proteome Profiling Reveals Drug-Resistant Traits in Elizabethkingia meningoseptica: An Opportunistic Nosocomial Pathogen.

Author information

1
1 Department of Neuromicrobiology, National Institute of Mental Health and Neurosciences, Bangalore, India.
2
2 Institute of Bioinformatics, International Technology Park, Bangalore, India.
3
3 Center for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, India.
4
4 School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, India.
5
5 Manipal Academy of Higher Education, Manipal, India.
6
6 School of Biotechnology, KIIT (Deemed to be University), Bhubaneswar, India.
7
7 Department of Zoology, University of Madras, Chennai, India.
8
8 CSIR-Indian Institute of Integrative Medicine, Jammu, India.

Abstract

Elizabethkingia meningoseptica is Gram-negative, rod-shaped opportunistic bacterial pathogen increasingly reported in hospital-acquired outbreaks. This bacterium is well known to thrive in the hospital environment. One of the leading causes of meningitis in pediatric and immune-compromised patients, E. meningoseptica has been noted as a "pathogen of interest" in the context of nosocomial diseases associated with device-related infections in particular. This pathogen's multidrug-resistant phenotype and attendant lack of adequate molecular mechanistic data limit the current approaches for its effective management in hospitals and public health settings. This study provides the global proteome of E. meningoseptica. The reference strain E. meningoseptica ATCC 13253 was used for proteomic analysis using high-resolution Fourier transform mass spectrometry. The study provided translational evidence for 2506 proteins of E. meningoseptica. We identified multiple metallo-β-lactamases, transcriptional regulators, and efflux transporter proteins associated with multidrug resistance. A protein Car D, which is an enzyme of the carbapenem synthesis pathway, was also discovered in E. meningoseptica. Further, the proteomics data were harnessed for refining the genome annotation. We discovered 39 novel protein-coding genes and corrected four existing translations using proteogenomic workflow. Novel translations reported in this study enhance the molecular data on this organism, thus improving current databases. We believe that the in-depth proteomic data presented in this study offer a platform for accelerated research on this pathogen. The identification of multiple proteins, particularly those involved in drug resistance, offers new future opportunities to design novel and specific antibiotics against infections caused by E. meningoseptica.

KEYWORDS:

; drug resistance; infectious diseases; microbial proteomics; nosocomial pathogens; proteomics

PMID:
31120389
DOI:
10.1089/omi.2019.0039

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