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  Rice metabolic regulatory network spanning its entire life cycle

Yang, C., Shen, S., Zhou, S., Li, Y., Mao, Y., Zhou, J., et al. (2022). Rice metabolic regulatory network spanning its entire life cycle. Molecular Plant, 15(2), 258-275. doi:10.1016/j.molp.2021.10.005.

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 Urheber:
Yang, Chenkun1, Autor
Shen, Shuangqian1, Autor
Zhou, Shen1, Autor
Li, Yufei1, Autor
Mao, Yuyuan1, Autor
Zhou, Junjie1, Autor
Shi, Yuheng1, Autor
An, Longxu1, Autor
Zhou, Qianqian1, Autor
Peng, Wenju1, Autor
Lyu, Yuanyuan1, Autor
Liu, Xuemei1, Autor
Chen, Wei1, Autor
Wang, Shouchuang1, Autor
Qu, Lianghuan1, Autor
Liu, Xianqing1, Autor
Fernie, A. R.2, Autor           
Luo, Jie1, Autor
Affiliations:
1external, ou_persistent22              
2Central Metabolism, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753339              

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Schlagwörter: rice, metabolome, transcriptome, transcription factor, co-expression, glycerophospholipid
 Zusammenfassung: ABSTRACT
As one of the most important crops in the world, rice (Oryza sativa L.) is a model plant for metabolome research. Although many studies have focused on the analysis of specific tissues, the dynamics of metabolite abundances across the entire life cycle has not yet been realized. Combining both targeted and nontargeted metabolite profiling methods, a total of 825 annotated metabolites were quantified in rice samples from different tissues covering the entire life cycle. The contents of metabolites in different tissues of rice were significantly different, with various metabolites were accumulating in the plumule and radicle during seed germination. Combining these data with transcriptome data obtained from the same time period, we constructed the Rice Metabolic Regulation Network (RMRN). These metabolites and the genes co-expressed with them were further divided into 12 clusters according to their accumulation patterns, within which they displayed a uniform and clear pattern of abundance across development. Using this dataset, we established a comprehensive metabolic profile of the rice life cycle and used two independent strategies to identify novel transcription factors

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Sprache(n): eng - English
 Datum: 2021-10-262022-02-07
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1016/j.molp.2021.10.005
 Art des Abschluß: -

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Titel: Molecular Plant
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Oxford University Press
Seiten: - Band / Heft: 15 (2) Artikelnummer: - Start- / Endseite: 258 - 275 Identifikator: ISSN: 1674-2052
CoNE: https://pure.mpg.de/cone/journals/resource/1674-2052