Evidence map›Paper›PMID 41267944›Full record

ArticleFrontiers in plant science2025

Variations in phenolic acid metabolites among

Shanshan Zhou, Zhengsen Li, Qingyu Wang, Tianyu Cao, Danyang Li, Kailu Li, Jinlan Ji

Abstract read
In one paragraph

Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Shanshan ZhouFaculty of Environmental Science and Engineering, Shanxi Institute of Science and Technology, Jincheng, China.
Zhengsen LiFaculty of Environmental Science and Engineering, Shanxi Institute of Science and Technology, Jincheng, China.
Qingyu WangFaculty of Environmental Science and Engineering, Shanxi Institute of Science and Technology, Jincheng, China.
Tianyu CaoFaculty of Environmental Science and Engineering, Shanxi Institute of Science and Technology, Jincheng, China.
Danyang LiFaculty of Environmental Science and Engineering, Shanxi Institute of Science and Technology, Jincheng, China.
Kailu LiFaculty of Environmental Science and Engineering, Shanxi Institute of Science and Technology, Jincheng, China.
Jinlan JiFaculty of Environmental Science and Engineering, Shanxi Institute of Science and Technology, Jincheng, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: To elucidate the chemical diversity and ecological drivers of its bioactive compounds, we conducted phenolic acids metabolomic profiling across 10 wild populations Results: Results showedsignificant inter-population variation in all thirty phenolic acids analyzed. Specifically, Verbascoside was significantly enriched in the AZ population, showing a positive correlation with Mean Monthly Temperature Range, Temperature Seasonality, and Temperature Annual Range, but a negative correlation with Annual Precipitation, Precipitation of Driest Quarter, Precipitation of Coldest Quarter and Min Temperature of Coldest Month. 4-Coumaroylshikimate, accumulated in WML and PS, was positively correlated with Precipitation of Wettest Month, Precipitation of Wettest Quarter, and Precipitation of Warmest Quarter, while negatively correlated with Min Temperature of Coldest Month. Gallotannin, enriched in LT, was negatively correlated with Mean Monthly Temperature Range, Temperature Seasonality, Temperature Annual Range, and Precipitation Seasonality, but positively correlated with Annual Precipitation. Isosalicin, accumulated in HX, showed a positive correlation with Max Temperature of Warmest Month and negative correlation with Annual Precipitation and Elevation. Discussion: These findings demonstrated that phenolic acids accumulation in

Indexed as

environmental heterogeneityenvironmental variablesForsythia suspensametabolic profilingphenolic acid

Identifiers

PMID41267944
PMCPMC12626952

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