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SCHWARZEROVÁ, J. BARTOŇ, V. WALTHER, D. WECKWERTH, W.
Original Title
Comprehensive analysis of putrescine metabolism in A. thaliana using GWAS, genetic risk score, metabolic modelling and data mining
Type
conference paper
Language
English
Original Abstract
Polyamines are known to be functionally involved in plant responses to stress conditions. Despite a large amount of physiological and genetic data, the mode of action of polyamines, especially putrescine, at the molecular level still remains unclear. An increasing number of studies point to a role of putrescine in stress defense of plants due to influencing the formation of reactive oxygen species (ROS) in cellular stress conditions. Moreover, putrescine has been found to modulate abscisic acid (ABA) biosynthesis at the transcriptional level in response to low temperature, revealing a novel mode of action of polyamines as regulators of hormone biosynthesis. This study presents a new holistic approach towards the analysis of putrescine metabolism using genome-wide association studies and the calculation of genetic risk scores extended by Boolean analysis in metabolites network as well as data mining from available databases and literature. It can lead to a better understanding of biological processes involved in adaptation of plants to environmental changes.
Keywords
Diversification, GWAS, Genetic Risk Score, The 1001 Genomes Project, Reactive Oxygen Species
Authors
SCHWARZEROVÁ, J.; BARTOŇ, V.; WALTHER, D.; WECKWERTH, W.
Released
25. 4. 2023
Publisher
Brno University of Technology, Faculty of Elektronic Engineering and Communication
Location
Brno
ISBN
978-80-214-6154-3
Book
Proceedings II of the 29th Conference STUDENT EEICT 2023 Selected Papers
Edition
1
Pages from
151
Pages to
155
Pages count
5
URL
https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_2_v2.pdf
BibTex
@inproceedings{BUT183448, author="Jana {Schwarzerová} and Vojtěch {Bartoň} and Dirk {Walther} and Wolfram {Weckwerth}", title="Comprehensive analysis of putrescine metabolism in A. thaliana using GWAS, genetic risk score, metabolic modelling and data mining", booktitle="Proceedings II of the 29th Conference STUDENT EEICT 2023 Selected Papers", year="2023", series="1", pages="151--155", publisher="Brno University of Technology, Faculty of Elektronic Engineering and Communication", address="Brno", isbn="978-80-214-6154-3", url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_2_v2.pdf" }