Evidence map›Paper›PMID 38825671›Full record

ArticleBMC plant biology2024

Transcriptome and metabolome analysis revealed the dynamic change of bioactive compounds of Fructus Ligustri Lucidi.

Peina Zhou, Jingjie Dang, Zheng Jiang, Shilin Dai, Cheng Qu, Qinan Wu

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
–field-weighted citation impact
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

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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

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

6 authors.

Peina Zhou *College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Jingjie Dang *College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Zheng JiangCollege of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Shilin DaiCollege of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Cheng QuCollege of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China. qucheng@njucm.edu.cn.
Qinan WuCollege of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China. wuqn@njucm.edu.cn.

Funding

National Natural Science Foundation of China 82204597
6 · The paper itself

Abstract

backgroundThe Fructus Ligustri Lucidi, the fruit of Ligustrum lucidum, contains a variety of bioactive compounds, such as flavonoids, triterpenoids, and secoiridoids. The proportions of these compounds vary greatly during the different fruit development periods of Fructus Ligustri Lucidi. However, a clear understanding of how the proportions of the compounds and their regulatory biosynthetic mechanisms change across the different fruit development periods of Fructus Ligustri Lucidi is still lacking.

resultsIn this study, metabolite profiling and transcriptome analysis of six fruit development periods (45 DAF, 75 DAF, 112 DAF, 135 DAF, 170 DAF, and 195 DAF) were performed. Seventy compounds were tentatively identified, of which secoiridoids were the most abundant. Eleven identified compounds were quantified by high performance liquid chromatography. A total of 103,058 unigenes were obtained from six periods of Fructus Ligustri Lucidi. Furthermore, candidate genes involved in triterpenoids, phenylethanols, and oleoside-type secoiridoid biosynthesis were identified and analyzed. The in vitro enzyme activities of nine glycosyltransferases involved in salidroside biosynthesis revealed that they can catalyze trysol and hydroxytyrosol to salidroside and hydroxylsalidroside.

conclusionsThese results provide valuable information to clarify the profile and molecular regulatory mechanisms of metabolite biosynthesis, and also in optimizing the harvest time of this fruit.

Indexed as

FruitLigustrumMetabolomeTranscriptomeGene Expression ProfilingGene Expression Regulation, PlantFructus Ligustri LucidiMetabolomeSalidroside biosynthesisSecoiridoid biosynthesisTranscriptome

Identifiers

PMID38825671
PMCPMC11145772

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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.