Evidence map›Paper›PMID 40772050›Full record

ArticleFrontiers in plant science2025

ABA-GA antagonism and modular gene networks cooperatively drive acquisition of desiccation tolerance in perilla seeds.

Xiaohuan Yang, Minghao Chen, Mingwang Liu, Bowen Li, Zhichao Sun, Ailian Lu, Sen Zhang, Xinghai Shi, Jun Ren, Xiuzhen Qin and 1 more

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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  3. Reducing recalcitrance of black pepper toHorticulture research · 2026
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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

11 authors.

Xiaohuan Yang *College of Agriculture, Shanxi Agricultural University, Taigu, Shanxi, China.
Minghao Chen *College of Agriculture, Shanxi Agricultural University, Taigu, Shanxi, China.
Mingwang LiuKey Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, China.
Bowen LiCollege of Agriculture, Shanxi Agricultural University, Taigu, Shanxi, China.
Zhichao SunCollege of Agriculture, Shanxi Agricultural University, Taigu, Shanxi, China.
Ailian LuCollege of Agriculture, Shanxi Agricultural University, Taigu, Shanxi, China.
Sen ZhangCollege of Agriculture, Shanxi Agricultural University, Taigu, Shanxi, China.
Xinghai ShiCollege of Agriculture, Shanxi Agricultural University, Taigu, Shanxi, China.
Jun RenCollege of Agriculture, Shanxi Agricultural University, Taigu, Shanxi, China.
Xiuzhen QinCollege of Agriculture, Shanxi Agricultural University, Taigu, Shanxi, China.
Jinhu MaSchool of Innovation and Intrepreneurship, Shanxi Agricultural University, Taigu, Shanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Perilla ( Methods: We measured phenotypic and physiological parameters of perilla seeds at different developmental stages and performed transcriptome analysis to identify differentially expressed genes (DEGs). Using WGCNA, we correlated these DEGs with physiological traits to identify key modules. Results: We identified the D17-D27 stage as the critical window for DT acquisition in perilla seeds. Transcriptome analysis revealed 14,040 DEGs across different developmental stages. Through WGCNA analysis, we identified two key regulatory modules: the MEcoral module, which maintains membrane integrity through lipid metabolism, endoplasmic reticulum protein processing, and ABA signaling; and the MElavenderblush2 module, which regulates energy supply and cell wall remodeling via photosynthetic carbon metabolism and GA signaling. The core gene network ( Discussion: This study elucidates the mechanisms underlying DT acquisition in perilla seeds and provides a theoretical basis for the genetic improvement of crop stress resistance.

Indexed as

ABA-GA antagonismdesiccation tolerance (DT)perilla seedstranscriptomic analysisWGCNA

Identifiers

PMID40772050
PMCPMC12325373

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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.