Quantification of enterohemorrhagic Escherichia coli O157:H7 protein abundance by high-throughput proteome

PLoS One. 2018 Dec 31;13(12):e0208520. doi: 10.1371/journal.pone.0208520. eCollection 2018.

Abstract

Enterohemorrhagic Escherichia coli (EHEC) O157:H7 is a human pathogen responsible for diarrhea, hemorrhagic colitis and hemolytic uremic syndrome (HUS). To promote a comprehensive insight into the molecular basis of EHEC O157:H7 physiology and pathogenesis, the combined proteome of EHEC O157:H7 strains, Clade 8 and Clade 6 isolated from cattle in Argentina, and the standard EDL933 (clade 3) strain has been analyzed. From shotgun proteomic analysis a total of 2,644 non-redundant proteins of EHEC O157:H7 were identified, which correspond approximately 47% of the predicted proteome of this pathogen. Normalized spectrum abundance factor analysis was performed to estimate the protein abundance. According this analysis, 50 proteins were detected as the most abundant of EHEC O157:H7 proteome. COG analysis showed that the majority of the most abundant proteins are associated with translation processes. A KEGG enrichment analysis revealed that Glycolysis / Gluconeogenesis was the most significant pathway. On the other hand, the less abundant detected proteins are those related to DNA processes, cell respiration and prophage. Among the proteins that composed the Type III Secretion System, the most abundant protein was EspA. Altogether, the results show a subset of important proteins that contribute to physiology and pathogenicity of EHEC O157:H7.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Cattle
  • Chromatography, High Pressure Liquid
  • Escherichia coli O157 / classification
  • Escherichia coli O157 / isolation & purification
  • Escherichia coli O157 / metabolism*
  • Escherichia coli Proteins / analysis*
  • Humans
  • Metabolic Networks and Pathways / genetics
  • Proteome / analysis
  • Proteomics*
  • Tandem Mass Spectrometry

Substances

  • Escherichia coli Proteins
  • Proteome

Grants and funding

The present study was supported by grants PICT 2012-#0211 from Fondo para la Investigación Científica y Tecnológica (FONCYT), Argentina, PNBIO1131034 INTA, Argentina; Presidential Foundation of Guangdong Academy of Agricultural Sciences (No.: 201320), and Science and Technology Program of Guangdong Province, (2016B070701013) China. WMdS, MPV, AA, ML and AC are CONICET fellows. NA holds a CONICET fellowship. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.