Stress Knowledge Map: A knowledge graph resource for systems biology analysis of plant stress responses

Carissa Bleker (Corresponding author), Živa Ramšak, Andras Bittner, Vid Podpečan, Maja Zagorščak, Bernhard Wurzinger, Špela Baebler, Marko Petek, Maja Križnik, Annelotte van Dieren, Juliane Gruber, Leila Afjehi-Sadat, Wolfram Weckwerth, Anže Županič, Markus Teige, Ute C. Vothknecht, Kristina Gruden (Corresponding author)

Publications: Contribution to journalArticlePeer Reviewed

Abstract

Stress Knowledge Map (SKM; https://skm.nib.si) is a publicly available resource containing two complementary knowledge graphs that describe the current knowledge of biochemical, signaling, and regulatory molecular interactions in plants: a highly curated model of plant stress signaling (PSS; 543 reactions) and a large comprehensive knowledge network (488 390 interactions). Both were constructed by domain experts through systematic curation of diverse literature and database resources. SKM provides a single entry point for investigations of plant stress response and related growth trade-offs, as well as interactive explorations of current knowledge. PSS is also formulated as a qualitative and quantitative model for systems biology and thus represents a starting point for a plant digital twin. Here, we describe the features of SKM and show, through two case studies, how it can be used for complex analyses, including systematic hypothesis generation and design of validation experiments, or to gain new insights into experimental observations in plant biology.

Original languageEnglish
Article number100920
JournalPlant Communications
Volume5
Issue number6
DOIs
Publication statusPublished - 10 Jun 2024

Austrian Fields of Science 2012

  • 106005 Bioinformatics

Keywords

  • knowledge graph
  • plant digital twin
  • plant signaling
  • plant stress responses
  • systems biology

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