Evidence map›Paper›PMID 40765861›Full record

ArticleFrontiers in plant science2025

Deciphering the molecular signatures of tropical

Han Li, Linbi Zhang, Xinyu Wen, Changlei Ji, Hui Chen, Meng Tian, Fusun Yang, Jun He

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. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Han LiCountry School of Tropical Agriculture and Forestry, Hainan University, Haikou, Hainan, China.
Linbi ZhangCountry School of Tropical Agriculture and Forestry, Hainan University, Haikou, Hainan, China.
Xinyu WenCountry School of Tropical Agriculture and Forestry, Hainan University, Haikou, Hainan, China.
Changlei JiCountry School of Tropical Agriculture and Forestry, Hainan University, Haikou, Hainan, China.
Hui ChenCountry School of Tropical Agriculture and Forestry, Hainan University, Haikou, Hainan, China.
Meng TianCountry School of Tropical Agriculture and Forestry, Hainan University, Haikou, Hainan, China.
Fusun YangCountry School of Tropical Agriculture and Forestry, Hainan University, Haikou, Hainan, China.
Jun HeSynthetic Biology Center, School of Future Technology, Fuzhou, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: This study integrates physiological profiling with transcriptomic sequencing to systematically investigate the cold-response mechanisms of Results: Multivariate variance analysis revealed that peroxidase (POD) activity and chlorophyll content are significant biomarkers strongly correlated with cold tolerance. A comprehensive investigation into the temporal expression of genes in response to 24 hours of cold stress was conducted, using RNA-seq analysis. This analysis yielded a substantial number of differentially expressed genes (DEGs), amounting to 20,870, which were found to be subject to temporal regulation. KEGG pathway enrichment analysis revealed substantial activation in three metabolic pathways: phytohormone signaling, alkaloid biosynthesis (tropane/piperidine/pyridine), and flavonoid biosynthesis. The application of Weighted Gene Co-expression Network Analysis (WGCNA), in conjunction with a dynamic tree-cutting algorithm, resulted in the identification of 25 co-expression modules. Eigenvector centrality analysis identified six hub genes responsive to cold stress: Discussion: These findings clarify the time series and core physiological indicators of

Indexed as

Areca catechu L.cold stressmultivariate analysisRNA-seqWGCNA

Identifiers

PMID40765861
PMCPMC12321864

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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.