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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F23%3APU148384" target="_blank" >RIV/00216305:26220/23:PU148384 - isvavai.cz</a>

  • Result on the web

    <a href="https://academic.oup.com/plphys/article/193/2/980/7176103" target="_blank" >https://academic.oup.com/plphys/article/193/2/980/7176103</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1093/plphys/kiad298" target="_blank" >10.1093/plphys/kiad298</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    Acclimation 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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10602 - Biology (theoretical, mathematical, thermal, cryobiology, biological rhythm), Evolutionary biology

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    PLANT PHYSIOLOGY

  • ISSN

    0032-0889

  • e-ISSN

    1532-2548

  • Volume of the periodical

    192

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    21

  • Pages from-to

    980-1000

  • UT code for WoS article

    001003015900001

  • EID of the result in the Scopus database