Evidence map›Paper›PMID 38724888›Full record

ArticleBMC plant biology2024

Metabolomics analysis of different diameter classes of Taxus chinensis reveals that the resource allocation is related to carbon and nitrogen metabolism.

Liben Pan, Yi Li, Wen Zhao, Yushu Sui, Nan Yang, Longjie Liu, Yang Liu, Zhonghua Tang, Liqiang Mu

Abstract read
In one paragraph

Article in BMC plant biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Liben PanSchool of Forestry, Northeast Forestry University, Harbin, 150040, China.
Yi LiSchool of Forestry, Northeast Forestry University, Harbin, 150040, China.
Wen ZhaoSchool of Forestry, Northeast Forestry University, Harbin, 150040, China.
Yushu SuiKey Laboratory of Forest Plant Ecology, Ministry of Education, Northeast Forestry University, Harbin, 150040, China.
Nan YangInstitute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Longjie LiuSchool of Forestry, Northeast Forestry University, Harbin, 150040, China.
Yang LiuSchool of Life Sciences, Heilongjiang University, Harbin, 150080, China.
Zhonghua TangKey Laboratory of Forest Plant Ecology, Ministry of Education, Northeast Forestry University, Harbin, 150040, China. tangzh@nefu.edu.cn.
Liqiang MuSchool of Forestry, Northeast Forestry University, Harbin, 150040, China. mlq0417@163.com.

Funding

Ministry of Science and Technology of the People's Republic of China 2019FY100505
6 · The paper itself

Abstract

Taxus chinensis (Taxus cuspidata Sieb. et Zucc.) is a traditional medicinal plant known for its anticancer substance paclitaxel, and its growth age is also an important factor affecting its medicinal value. However, how age affects the physiological and metabolic characteristics and active substances of T. chinensis is still unclear. In this study, carbon and nitrogen accumulation, contents of active substances and changes in primary metabolites in barks and annual leaves of T. chinensis of different diameter classes were investigated by using diameter classes instead of age. The results showed that leaves and barks of small diameter class (D1) had higher content of non-structural carbohydrates and C, which were effective in enhancing defense capacity, while N content was higher in medium (D2) and large diameter classes (D3). Active substances such as paclitaxel, baccatin III and cephalomannine also accumulated significantly in barks of large diameter classes. Moreover, 21 and 25 differential metabolites were identified in leaves and barks of different diameter classes, respectively. The differential metabolites were enhanced the TCA cycle and amino acid biosynthesis, accumulate metabolites such as organic acids, and promote the synthesis and accumulation of active substances such as paclitaxel in the medium and large diameter classes. These results revealed the carbon and nitrogen allocation mechanism of different diameter classes of T. chinensis, and its relationship with medicinal components, providing a guidance for the harvesting and utilization of wild T. chinensis.

Indexed as

CarbonMetabolomicsNitrogenPlant LeavesTaxusPlant BarkCarbonNitrogenCarbon and nitrogen metabolism, PaclitaxelDiameter classMetabolomicsTaxus chinensis

Identifiers

PMID38724888
PMCPMC11080207

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.