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

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NIAID Data Ecosystem2026-03-10 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE122398
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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 or 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. Previously published Bisulfite Sequencing data of epiRIL92, epiRIL150, epiRIL193, epiRIL232, Col_wt (series: GSE99404) were re-analyzed to confirm the stability of epiRILs
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2019-02-11
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