Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Network modelling unravels mechanisms of crosstalk between ethylene and salicylate signalling in potato

View ORCID ProfileŽiva Ramšak, Anna Coll, Tjaša Stare, View ORCID ProfileOren Tzfadia, View ORCID ProfileŠpela Baebler, Špela Baebler, View ORCID ProfileYves Van de Peer, Kristina Gruden
doi: https://doi.org/10.1101/214940
Živa Ramšak
aNational Institute of Biology, Department of Biotechnology and Systems Biology, 1000 Ljubljana, Slovenia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Živa Ramšak
  • For correspondence: ziva.ramsak@nib.si
Anna Coll
aNational Institute of Biology, Department of Biotechnology and Systems Biology, 1000 Ljubljana, Slovenia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Tjaša Stare
aNational Institute of Biology, Department of Biotechnology and Systems Biology, 1000 Ljubljana, Slovenia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Oren Tzfadia
bDepartment of Plant Systems Biology, VIB, 9052 Ghent, Belgium
cDepartment of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Oren Tzfadia
Špela Baebler
aNational Institute of Biology, Department of Biotechnology and Systems Biology, 1000 Ljubljana, Slovenia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Špela Baebler
Špela Baebler
aNational Institute of Biology, Department of Biotechnology and Systems Biology, 1000 Ljubljana, Slovenia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yves Van de Peer
bDepartment of Plant Systems Biology, VIB, 9052 Ghent, Belgium
cDepartment of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium
dGenomics Research Institute, University of Pretoria, Private bag X20, Pretoria 0028, South Africa
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Yves Van de Peer
Kristina Gruden
aNational Institute of Biology, Department of Biotechnology and Systems Biology, 1000 Ljubljana, Slovenia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

ABSTRACT

To provide means for novel crop breeding strategies, it is crucial to understand the mechanisms underlying the interaction between plants and their pathogens. Network modelling represents a powerful tool that can unravel properties of complex biological systems. Here, we build on a reliable Arabidopsis (Arabidopsis thaliana L.) immune signalling model, extending it with the information from diverse publically available resources. The resulting prior knowledge network (20,012 nodes, 70,091 connections) was then translated to potato (Solanum tuberosum L.) and superimposed with an ensemble network inferred from potato time-resolved transcriptomics data. We used different network modelling approaches to generate specific hypotheses of potato immune signalling mechanisms. An interesting finding was the identification of a string of molecular events, illuminating the ethylene pathway modulation of the salicylic acid pathway through NPR1 gene expression. Functional validations confirmed this modulation, thus confirming the potential of our integrative network modelling approach for unravelling molecular mechanisms in complex systems.

One-sentence summary Analysis of integrated prior knowledge and ensemble networks highlights a novel connection between ethylene and salicylic acid signalling modules in potato.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted November 06, 2017.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Network modelling unravels mechanisms of crosstalk between ethylene and salicylate signalling in potato
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Network modelling unravels mechanisms of crosstalk between ethylene and salicylate signalling in potato
Živa Ramšak, Anna Coll, Tjaša Stare, Oren Tzfadia, Špela Baebler, Špela Baebler, Yves Van de Peer, Kristina Gruden
bioRxiv 214940; doi: https://doi.org/10.1101/214940
Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Citation Tools
Network modelling unravels mechanisms of crosstalk between ethylene and salicylate signalling in potato
Živa Ramšak, Anna Coll, Tjaša Stare, Oren Tzfadia, Špela Baebler, Špela Baebler, Yves Van de Peer, Kristina Gruden
bioRxiv 214940; doi: https://doi.org/10.1101/214940

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Systems Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (2427)
  • Biochemistry (4784)
  • Bioengineering (3328)
  • Bioinformatics (14655)
  • Biophysics (6629)
  • Cancer Biology (5162)
  • Cell Biology (7417)
  • Clinical Trials (138)
  • Developmental Biology (4354)
  • Ecology (6868)
  • Epidemiology (2057)
  • Evolutionary Biology (9901)
  • Genetics (7338)
  • Genomics (9509)
  • Immunology (4545)
  • Microbiology (12656)
  • Molecular Biology (4936)
  • Neuroscience (28279)
  • Paleontology (199)
  • Pathology (804)
  • Pharmacology and Toxicology (1388)
  • Physiology (2019)
  • Plant Biology (4486)
  • Scientific Communication and Education (976)
  • Synthetic Biology (1297)
  • Systems Biology (3909)
  • Zoology (725)