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Epigenetic mapping of the Arabidopsis metabolome reveals mediators of the epigenotype-phenotype map

Identifying the sources of natural variation underlying metabolic differences between plants will enable a better understanding of plant metabolism and provide insights into the regulatory networks that govern plant growth and morphology. So far, however, the contribution of epigenetic variation to...

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Detalles Bibliográficos
Autores principales: Kooke, Rik, Morgado, Lionel, Becker, Frank, van Eekelen, Henriëtte, Hazarika, Rashmi, Zheng, Qunfeng, de Vos, Ric C.H., Johannes, Frank, Keurentjes, Joost J.B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6314165/
https://www.ncbi.nlm.nih.gov/pubmed/30504416
http://dx.doi.org/10.1101/gr.232371.117
Descripción
Sumario:Identifying the sources of natural variation underlying metabolic differences between plants will enable a better understanding of plant metabolism and provide insights into the regulatory networks that govern plant growth and morphology. So far, however, the contribution of epigenetic variation to metabolic diversity has been largely ignored. In the present study, we utilized a panel of Arabidopsis thaliana epigenetic recombinant inbred lines (epiRILs) to assess the impact of epigenetic variation on the metabolic composition. Thirty epigenetic QTL (QTL(epi)) were detected, which partly overlap with QTL(epi) linked to growth and morphology. In an effort to identify causal candidate genes in the QTL(epi) regions and their putative trans-targets, we performed in silico small RNA and qPCR analyses. Differentially expressed genes were further studied by phenotypic and metabolic analyses of knockout mutants. Three genes were detected that recapitulated the detected QTL(epi) effects, providing evidence for epigenetic regulation in cis and in trans. These results indicate that epigenetic mechanisms impact metabolic diversity, possibly via small RNAs, and thus aid in further disentangling the complex epigenotype-phenotype map.