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Updated: Jul 8, 2025

Identification of Antibacterial Immunity Proteins in Escherichia coli using MALDI-TOF-TOF-MS/MS and Top-Down Proteomic Analysis
Published on: May 23, 2021
Unusual modifications of protein biomarkers expressed by plasmid, prophage, and bacterial host of pathogenic
Clifton K Fagerquist1, Yanlin Shi1, Jihyun Park1,2
1Produce Safety and Microbiology Research Unit, Western Regional Research Center, Agricultural Research Service, US Department of Agriculture, Albany, California, USA.
Rationale:
Pathogenic bacteria often carry prophage (bacterial viruses) and plasmids (small circular pieces of DNA) that may harbor toxin, antibacterial, and antibiotic resistance genes. Proteomic characterization of pathogenic bacteria should include the identification of host proteins and proteins produced by prophage and plasmid genomes.
Methods:
Protein biomarkers of two strains of Shiga toxin-producing Escherichia coli (STEC) were identified using antibiotic induction, matrix-assisted laser desorption/ionization tandem time-of-flight (MALDI-TOF-TOF) tandem mass spectrometry (MS/MS) with post-source decay (PSD), top-down proteomic (TDP) analysis, and plasmid sequencing. Alphafold2 was also used to compare predicted in silico structures of the identified proteins to prominent fragment ions generated using MS/MS-PSD. Strain samples were also analyzed with and without chemical reduction treatment to detect the attachment of pendant groups bound by thioester or disulfide bonds.
Results:
Shiga toxin was detected and/or identified in both STEC strains. For the first time, we also identified the osmotically inducible protein (OsmY) whose sequence unexpectedly had two forms: a full and a truncated sequence. The truncated OsmY terminates in the middle of an α-helix as determined by Alphafold2. A plasmid-encoded colicin immunity protein was also identified with and without attachment of an unidentified cysteine-bound pendant group (~307 Da). Plasmid sequencing confirmed top-down analysis and the identification of a promoter upstream of the immunity gene that is activated by antibiotic induction, that is, SOS box.
Conclusions:
TDP analysis, coupled with other techniques (e.g., antibiotic induction, chemical reduction, plasmid sequencing, and in silico protein modeling), is a powerful tool to identify proteins (and their modifications), including prophage- and plasmid-encoded proteins, produced by pathogenic microorganisms.
Insights
This study identifies Shiga toxin and novel protein variants in pathogenic E. coli using advanced proteomic techniques. These methods reveal antibiotic resistance genes on plasmids and prophages, crucial for understanding bacterial virulence.
Area of Science:
- Microbiology
- Proteomics
- Genomics
Background:
- Pathogenic bacteria frequently harbor prophage and plasmids carrying genes for toxins, antibacterial agents, and antibiotic resistance.
- Comprehensive proteomic analysis of these bacteria is essential to identify host, prophage, and plasmid-encoded proteins.
Purpose of the Study:
- To characterize protein biomarkers in Shiga toxin-producing Escherichia coli (STEC) strains.
- To identify proteins encoded by prophage and plasmid genomes in pathogenic bacteria.
- To investigate protein modifications and their genetic basis.
Main Methods:
- Utilized antibiotic induction, MALDI-TOF-TOF MS/MS with PSD, and top-down proteomic (TDP) analysis.
- Employed plasmid sequencing and in silico protein structure prediction with Alphafold2.
- Investigated protein modifications by analyzing samples with and without chemical reduction.
Main Results:
- Detected Shiga toxin in both STEC strains.
- Identified the osmotically inducible protein (OsmY) in full and truncated forms, with truncation impacting its alpha-helix structure.
- Discovered a plasmid-encoded colicin immunity protein with an unidentified cysteine-bound pendant group (~307 Da) and an antibiotic-inducible promoter (SOS box).
Conclusions:
- Top-down proteomic analysis, combined with antibiotic induction, chemical reduction, plasmid sequencing, and in silico modeling, is a powerful approach.
- This integrated methodology effectively identifies proteins and their modifications, including those encoded by prophages and plasmids in pathogenic microorganisms.
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