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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Non-targeted metabolomics and transcriptomics reveal mechanisms of metabolic differences among roots, stems, and leaves of Cudrania tricuspidata

Authors: Zikang Ding; Zhongshan;

Non-targeted metabolomics and transcriptomics reveal mechanisms of metabolic differences among roots, stems, and leaves of Cudrania tricuspidata

Abstract

We detected a total of 1254 metabolites from the three tissues of Cudrania roots, stems, and leaves, and all metabolites were annotated and classified into eight categories by the KEGG database: steroids, lipids, antibiotics, vitamins and cofactors, nucleic acids, peptides, carbohydrates, and organic acids. Flavonoid-rich roots and stems of Cudrania were significantly different from the transcripts of leaves. GO and KEGG enrichment analyses revealed that the differential genes were mainly enriched in Photosynthesis - antenna proteins, Zeatin biosynthesis, Flavone and flavonol biosynthesis, Monoterpenoid biosynthesis pathway. The expression of flavonoid and flavonol biosynthesis-related genes was significantly up-regulated in roots and stems. From the perspective of the differences in metabolites among roots, stems and leaves of Cudrania, it can provide a basis for revealing the material basis of the differences in medicinal properties and efficacy of different parts.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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