Cited by 8Fungal and yeast genetics researchBioinformatics and Genomic NetworksGenomics and Phylogenetic Studies

Prediction of putative protein interactions through evolutionary analysis of osmotic stress response in the model yeast Saccharomyces cerevisae

Thorne, Thomas W., Ho, Hsueh-Lui, Huvet, Maxime, Haynes, Ken, Stumpf, Michael P.H.·2011·Fungal Genetics and Biology

Abstract

The osmotic stress response signalling pathway of the model yeast Saccharomyces cerevisae is crucial for the survival of cells under osmotic stress, and is preserved to varying degrees in other related fungal species. We apply a method for inference of ancestral states of characteristics over a phylogeny to 17 fungal species to infer the maximum likelihood estimate of presence or absence in ancestral genomes of genes involved in osmotic stress response. The same method allows us furthermore to perform a statistical test for correlated evolution between genes. Where such correlations exist within the osmotic stress response pathway of S. cerevisae, we have used this in order to predict and subsequently test for the presence of physical protein-protein interactions in an attempt to detect novel interactions. Finally we assess the relevance of observed evolutionary correlations in predicting protein interactions in light of the experimental results. We do find that correlated evolution provides some useful information for the prediction of protein-protein interactions, but that these alone are not sufficient to explain detectable patterns of correlated evolution.

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Crossref · 10.1016/j.fgb.2010.12.005

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  • Thorne et al. (2011) utilized a Gateway adapted yeast-2 hybrid system to experimentally validate predicted Candida glabrata and Saccharomyces cerevisiae protein-protein interactions.

    “Similarly, Thorne et al. (2011) utilized a Gateway adapted yeast-2 hybrid system to experimentally validate predicted C. glabrata and S. cerevisiae protein–protein interactions (PPIs) while investigating the utility of evolutionary correlation between presence and absence of genes in a group of species as a method to predict potential PPIs.”

    From <i>Candida glabrata</i> : new tools and technologies—expanding the toolkit (2015) · cites this paper as Thorne et al. 2011

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References 29 · Cited by 8

Authors
Thorne, T. W., Ho, H.-L., Huvet, M., Haynes, K., & Stumpf, M. P. H.
Affiliations
  • Imperial College London (GB)
  • University of Exeter (GB)
Venue
Fungal Genetics and Biology
Publisher
Elsevier BV
Published
2011-05
Volume
48
Issue
5
Pages
504-511
ISSN
1087-1845 (ISSN-L)
OpenAlex
W2085031713
Cited by
8
References
29
Citations by year
2023: 1 · 2019: 1 · 2018: 1 · 2017: 1 · 2015: 1 · 2013: 2
FWCI
0.39
Type
journal article
Language
en
Open access
closed
Locations
  • Fungal Genetics and Biology (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Royal Society
  • Biotechnology and Biological Sciences Research Council (BB/F005210/2, BB/F005210/1, BB/C519670/1, BB/F013566/1)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fungal and yeast genetics research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
Keywords
osmotic stress response, protein-protein interaction, ancestral state reconstruction, correlated evolution, Saccharomyces cerevisiae, fungal phylogeny, signaling pathways, interaction prediction
MeSH terms
Biological Evolution, Fungal Proteins, Molecular Sequence Data, Osmosis, Phylogeny, Protein Binding, Saccharomyces cerevisiae, Yeasts, Signal Transduction, Gene Expression Regulation, Fungal, Two-Hybrid System Techniques, Saccharomyces cerevisiae Proteins

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