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Bioimpacts. 2020;10(2): 123-135.
doi: 10.34172/bi.2020.15
PMID: 32363156
PMCID: PMC7186543
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Original Research

Proteomic profiling of Serratia marcescens by high-resolution mass spectrometry

Bhavya Somalapura Gangadharappa 1,2, Sharath Rajashekarappa 3 * ORCID logo, Gajanan Sathe 4,5

1 Department of Biotechnology, M.S. Ramaiah Institute of Technology, Bengaluru-560054, Karnataka, India
2 Visvesvaraya Technological University, Belagavi-590018, Karnataka, India
3 Department of Food Technology, Davangere University, Davangere-577007, Karnataka, India
4 Institute of Bioinformatics, International Technology Park, Bangalore-560066, Karnataka, India
5 Center for Molecular Medicine, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore-560029, Karnataka, India
*Corresponding author: Sharath Rajashekarappa, Email: sharathsarathi@gmail.com

Abstract

Introduction: Serratia marcescens, an opportunistic human pathogen, is reported as an important cause of nosocomial infection and outbreaks. Although the genome of S. marcescens (ATCC 13880) was completely sequenced by 2014, there are no studies on the proteomic profile of the organism. The objective of the present study is to analyze the protein profile of S. marcescens (ATCC 13880) using a high resolution mass spectrometry (MS).
Methods: Serratia marcescens ATCC 13880 strain was grown in Luria-Bertani broth and the protein extracted was subjected to trypsin digestion, followed by basic reverse phase liquid chromatography fractionation. The peptide fractions were then analysed using Orbitrap Fusion Mass Spectrometry and the raw MS data were processed in Proteome Discoverer software.
Results: The proteomic analysis identified 15 009 unique peptides mapping to 2541 unique protein groups, which corresponds to approximately 54% of the computationally predicted protein-coding genes. Bioinformatic analysis of these identified proteins showed their involvement in biological processes such as cell wall organization, chaperone-mediated protein folding and ATP binding. Pathway analysis revealed that some of these proteins are associated with bacterial chemotaxis and beta-lactam resistance pathway.
Conclusion: To the best of our knowledge, this is the first high-throughput proteomics study of S. marcescens (ATCC 13880). These novel observations provide a crucial baseline molecular profile of the S. marcescens proteome which will prove to be helpful for the future research in understanding the host-pathogen interactions during infection, elucidating the mechanism of multidrug resistance, and developing novel diagnostic markers or vaccine for the disease.
Keywords: Proteomics, Serratia marcescens, Proteome discoverer, Orbitrap fusion
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Submitted: 15 May 2019
Revision: 07 Aug 2019
Accepted: 03 Sep 2019
ePublished: 26 Mar 2020
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