Comprehensive analysis of putrescine metabolism in A thaliana using GWAS, genetic risk score, metabolic modelling and data mining

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but.event.date25.04.2023cs
but.event.titleSTUDENT EEICT 2023cs
dc.contributor.authorSchwarzerová, Jana
dc.contributor.authorBartoň, Vojtěch
dc.contributor.authorWalther, Dirk
dc.contributor.authorWeckwerth, Wolfram
dc.date.accessioned2023-07-17T05:57:34Z
dc.date.available2023-07-17T05:57:34Z
dc.date.issued2023cs
dc.description.abstractPolyamines are known to be functionally involvedin plant responses to stress conditions. Despite a large amount ofphysiological 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 instress defense of plants due to influencing the formation of reactiveoxygen species (ROS) in cellular stress conditions. Moreover,putrescine has been found to modulate abscisic acid (ABA)biosynthesis at the transcriptional level in response to lowtemperature, revealing a novel mode of action of polyamines asregulators of hormone biosynthesis. This study presents a newholistic approach towards the analysis of putrescine metabolismusing genome-wide association studies and the calculation ofgenetic risk scores extended by Boolean analysis in metabolitesnetwork as well as data mining from available databases andliterature. It can lead to a better understanding of biologicalprocesses involved in adaptation of plants to environmentalchanges.en
dc.formattextcs
dc.format.extent151-155cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings II of the 29st Conference STUDENT EEICT 2023: Selected papers. s. 151-155. ISBN 978-80-214-6154-3cs
dc.identifier.doi10.13164/eeict.2023.151
dc.identifier.isbn978-80-214-6154-3
dc.identifier.issn2788-1334
dc.identifier.urihttp://hdl.handle.net/11012/210679
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings II of the 29st Conference STUDENT EEICT 2023: Selected papersen
dc.relation.urihttps://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_2_v2.pdfcs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectDiversificationen
dc.subjectGWASen
dc.subjectGenetic Risk Score,The 1001 Genomes Projecten
dc.subjectReactive Oxygen Speciesen
dc.titleComprehensive analysis of putrescine metabolism in A thaliana using GWAS, genetic risk score, metabolic modelling and data miningen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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