Comparing human-Salmonella with plant-Salmonella protein-protein interaction predictions

Sylvia Schleker, Meghana Kshirsagar, Judith Klein-Seetharaman

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Salmonellosis is the most frequent food-borne disease world-wide and can be transmitted to humansby a variety of routes, especially via animal and plant products. Salmonella bacteria are believed touse not only animal and human but also plant hosts despite their evolutionary distance. This raisesthe question if Salmonella employs similar mechanisms in infection of these diverse hosts. Given thatmost of our understanding comes from its interaction with human hosts, we investigate here to whatdegree knowledge of Salmonella-human interactions can be transferred to the Salmonella-plantsystem. Reviewed are recent publications on analysis and prediction of Salmonella-hostinteractomes. Putative protein-protein interactions (PPIs) between Salmonella and its human and Arabidopsis hosts were retrieved utilizing purely interolog-based approaches in which predictionswere inferred based on available sequence and domain information of known PPIs, and machinelearning approaches that integrate a larger set of useful information from different sources. Transferlearning is an especially suitable machine learning technique to predict plant host targets from theknowledge of human host targets. A comparison of the prediction results with transcriptomic datashows a clear overlap between the host proteins predicted to be targeted by PPIs and their geneontology enrichment in both host species and regulation of gene expression. In particular, the cellularprocesses Salmonella interferes with in plants and humans are catabolic processes. The details of how these processes are targeted, however, are quite different between the two organisms, asexpected based on their evolutionary and habitat differences. Possible implications of thisobservation on evolution of host-pathogen communication are discussed.

Original languageEnglish (US)
Article number552
JournalFrontiers in Microbiology
Issue numberOCT
StatePublished - 2014
Externally publishedYes


  • Host-pathogen interactions
  • Interactome
  • Pathways
  • Prediction
  • Systems biology

ASJC Scopus subject areas

  • Microbiology
  • Microbiology (medical)


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