Metabolome plasticity in 241 Arabidopsis thaliana accessions reveals evolutionary cold adaptation processes

Simple item page
dc.contributor.authorWeiszmann, Jakobcs
dc.contributor.authorWalther, Dirkcs
dc.contributor.authorClauw, Pietercs
dc.contributor.authorBack, Georgcs
dc.contributor.authorGunis, Joannacs
dc.contributor.authorReichardt, Ilkacs
dc.contributor.authorKoemeda, Stefaniecs
dc.contributor.authorJez, Jakubcs
dc.contributor.authorNordborg, Magnuscs
dc.contributor.authorSchwarzerová, Janacs
dc.contributor.authorPierdies, Irocs
dc.contributor.authorNägele, Thomascs
dc.contributor.authorWeckwerth, Wolframcs
dc.coverage.issue2cs
dc.coverage.volume192cs
dc.date.issued2023-05-23cs
dc.description.abstractAcclimation and adaptation of metabolism to a changing environment are key processes for plant survival and reproductive success. In the present study, 241 natural accessions of Arabidopsis (Arabidopsis thaliana) were grown under two different temperature regimes, 16 °C and 6 °C, and growth parameters were recorded, together with metabolite profiles, to investigate the natural genome × environment effects on metabolome variation. The plasticity of metabolism, which was captured by metabolic distance measures, varied considerably between accessions. Both relative growth rates and metabolic distances were predictable by the underlying natural genetic variation of accessions. Applying machine learning methods, climatic variables of the original growth habitats were tested for their predictive power of natural metabolic variation among accessions. We found specifically habitat temperature during the first quarter of the year to be the best predictor of the plasticity of primary metabolism, indicating habitat temperature as the causal driver of evolutionary cold adaptation processes. Analyses of epigenome- and genome-wide associations revealed accession-specific differential DNA-methylation levels as potentially linked to the metabolome and identified FUMARASE2 as strongly associated with cold adaptation in Arabidopsis accessions. These findings were supported by calculations of the biochemical Jacobian matrix based on variance and covariance of metabolomics data, which revealed that growth under low temperatures most substantially affects the accession-specific plasticity of fumarate and sugar metabolism. Our findings indicate that the plasticity of metabolic regulation is predictable from the genome and epigenome and driven evolutionarily by Arabidopsis growth habitats.en
dc.formattextcs
dc.format.extent980-1000cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationPLANT PHYSIOLOGY. 2023, vol. 192, issue 2, p. 980-1000.en
dc.identifier.doi10.1093/plphys/kiad298cs
dc.identifier.issn0032-0889cs
dc.identifier.orcid0000-0003-2918-9313cs
dc.identifier.other183866cs
dc.identifier.urihttp://hdl.handle.net/11012/244948
dc.language.isoencs
dc.publisherOxford University Presscs
dc.relation.ispartofPLANT PHYSIOLOGYcs
dc.relation.urihttps://academic.oup.com/plphys/article/193/2/980/7176103cs
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/0032-0889/cs
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/cs
dc.subjectArabidopsis thalianaen
dc.subjectMetabolomicsen
dc.subjectEvolutionen
dc.subjectAdaptionen
dc.subjectGWASen
dc.titleMetabolome plasticity in 241 Arabidopsis thaliana accessions reveals evolutionary cold adaptation processesen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-183866en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:39:58en
sync.item.modts2025.01.17 18:32:48en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav biomedicínského inženýrstvícs
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
kiad298.pdf
Size:
1.67 MB
Format:
Adobe Portable Document Format
Description:
file kiad298.pdf
Download
Collections
Ústav biomedicínského inženýrství