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Title:Stress knowledge map : a knowledge graph resource for systems biology analysis of plant stress responses
Authors:ID Bleker, Carissa (Author)
ID Ramšak, Živa (Author)
ID Bittner, Andras (Author)
ID Podpečan, Vid (Author)
ID Zagorščak, Maja (Author)
ID Wurzinger, Bernhard (Author)
ID Baebler, Špela (Author)
ID Petek, Marko (Author)
ID Križnik, Maja (Author)
ID Županič, Anže (Author)
ID Gruden, Kristina (Author)
Files:URL URL - Source URL, visit https://skm.nib.si
 
URL URL - Source URL, visit https://doi.org/10.1016/j.xplc.2024.100920
 
.pdf PDF - Presentation file, download (1,35 MB)
MD5: E411194F1EC267F27BE12CD3DB83A435
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo NIB - National Institute of Biology
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.
Keywords:Stress knowledge map, knowledge graph, knowledge network, entry point, plant digital twin, plant stress responses, plant signaling, systems biology
Publication status:Published
Publication version:Version of Record
Publication date:10.06.2024
Year of publishing:2024
Number of pages:str. 1-15
Numbering:iss. 6, [art. no.] ǂ100920
PID:20.500.12556/DiRROS-19098 New window
UDC:577.2
ISSN on article:2590-3462
DOI:10.1016/j.xplc.2024.100920 New window
COBISS.SI-ID:198383363 New window
Note:Soavtorji: 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 and Kristina Gruden; Nasl. z nasl. zaslona; Opis vira z dne 11. 6. 2024;
Publication date in DiRROS:11.06.2024
Views:69
Downloads:41
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Record is a part of a journal

Title:Plant communications
Publisher:Cell Press
ISSN:2590-3462
COBISS.SI-ID:18914051 New window

Document is financed by a project

Funder:EC - European Commission
Funding programme:H2020
Project number:862858
Name:Accelerated Development of multiple-stress tolerAnt PoTato
Acronym:ADAPT

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:Z7-1888-2019
Name:Odkrivanje strukturnih in dinamičnih lastnosti mehanizmov rastlinskega odgovora z uporabo pristopov sistemske biologije

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J4-1777-2019
Name:Odkrivanje mehanizmov učinkovitosti in specifičnosti imunske signalizacije v krompirju z inovativnim pridobivanjem podatkov in modeliranjem

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P4-0165-2022
Name:Biotehnologija in sistemska biologija rastlin

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:N4-0199-2021
Name:Vzpostavitev metodologij za študij imunosti krompirja na nivoju posameznih celic

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:Z4-50146-2023
Name:Translacijska genomika in dinamično modeliranje za razumevanje odziva rastlin na stres

Funder:EC - European Commission
Funding programme:H2020
Project number:871075
Name:Connect and align ELIXIR Nodes to deliver sustainable FAIR life-science data management services
Acronym:ELIXIR-CONVERGE

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:SKM, graf znanja, mreža znanja, vstopna točka, digitalni dvojček rastline, odzivi rastlin na stres, signalizacija rastlin, sistemska biologija


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