Evidence map›Paper›PMID 36503377›Full record

ArticleBMC plant biology2022

Transcriptome analysis provides insights into light condition effect on paclitaxel biosynthesis in yew saplings.

Taotao Li, Bingbing Li, Chunli Liao, Huamin Zhang, Lianzhe Wang, Taotao Fu, Shouyu Xue, Tao Sun, Xiaolan Xu, Xin Fan and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.6field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 29 citations in OpenAlex.

  1. Genome-Wide Analysis ofCurrent issues in molecular biology · 2026
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  2. Recent advances inFrontiers in plant science · 2026
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  4. Screening ofSynthetic and systems biotechnology · 2024
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  5. Article
  6. Article
  7. Article
  8. Review
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

14 authors at 2 institutions in 1 country.

Taotao Li *College of Life Sciences and Engineering, Henan University of Urban Construction, Pingdingshan, 467036, Henan, China.
Bingbing Li *College of Life Sciences and Engineering, Henan University of Urban Construction, Pingdingshan, 467036, Henan, China.
Chunli LiaoCollege of Life Sciences and Engineering, Henan University of Urban Construction, Pingdingshan, 467036, Henan, China.
Huamin ZhangCollege of Life Sciences and Engineering, Henan University of Urban Construction, Pingdingshan, 467036, Henan, China.
Lianzhe WangCollege of Life Sciences and Engineering, Henan University of Urban Construction, Pingdingshan, 467036, Henan, China.
Taotao FuCollege of Life Sciences and Engineering, Henan University of Urban Construction, Pingdingshan, 467036, Henan, China.
Shouyu XueCollege of Life Sciences and Engineering, Henan University of Urban Construction, Pingdingshan, 467036, Henan, China.
Tao SunCollege of Life Sciences and Engineering, Henan University of Urban Construction, Pingdingshan, 467036, Henan, China.
Xiaolan XuCollege of Life Sciences and Engineering, Henan University of Urban Construction, Pingdingshan, 467036, Henan, China.
Xin FanCollege of Life Sciences and Engineering, Henan University of Urban Construction, Pingdingshan, 467036, Henan, China.
Le LiCollege of Life Sciences and Engineering, Henan University of Urban Construction, Pingdingshan, 467036, Henan, China.
Genglin LiuCollege of Life Sciences and Engineering, Henan University of Urban Construction, Pingdingshan, 467036, Henan, China.
Fengling YangCollege of Life Sciences and Engineering, Henan University of Urban Construction, Pingdingshan, 467036, Henan, China. 13903900069@163.com.
Xuan MaNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China. MaX_uan@163.com.
Henan University of Urban Construction · CNHuazhong Agricultural University · CN

Funding

National Natural Science Foundation of China 32100272Project of Young Backbone Teachers of Henan University of Urban Construction YCJQNGGJS202211
6 · The paper itself

Abstract

backgroundTaxus is a rare gymnosperm plant that is the sole producer of the anticancer drug paclitaxel. The growth and development of Taxus is affected by environmental factors such as light. However, little is known about how light conditions affect growth and metabolic processes, especially paclitaxel biosynthesis.

resultsIn this study, we applied three different light conditions to Taxus chinensis young saplings and investigated the physiological response and gene expression. Our observations showed that exposure to high light led to oxidative stress, caused photoinhibition, and damaged the photosynthetic systems in T. chinensis. The paclitaxel content in T. chinensis leaves was significantly decreased after the light intensity increased. Transcriptomic analysis revealed that numerous genes involved in paclitaxel biosynthesis and phenylpropanoid metabolic pathways were downregulated under high light. We also analyzed the expression of JA signaling genes, bHLH, MYB, AP2/ERF transcription factors, and the CYP450 families that are potentially related to paclitaxel biosynthesis. We found that several CYP450s, MYB and AP2/ERF genes were induced by high light. These genes may play an important role in tolerance to excessive light or heat stress in T. chinensis.

conclusionsOur study elucidates the molecular mechanism of the effects of light conditions on the growth and development of T. chinensis and paclitaxel biosynthesis, thus facilitating the artificial regeneration of Taxus and enhancing paclitaxel production.

Indexed as

TaxusCycadopsidaGene Expression ProfilingLightPaclitaxelPhotosynthesisPaclitaxelHigh lightPaclitaxel biosynthesisPhotosynthetic systemTaxus chinensisTranscriptome

Identifiers

PMID36503377
PMCPMC9743728
OpenAlexW4311674015

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.