Evidence map›Paper›PMID 41595537›Full record

ArticleGenes2026

Multi-Omics Analysis of the Co-Expression Features of Specific Neighboring Gene Pairs Suggests an Association with Catechin Regulation in

Shuaibin Lian, Feixiang Ren, Shuanghui Cai, Zhong Wang, Youchao Tu, Ke Gong, Wei Zhang

Abstract read
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In one paragraph

Article in Genes, 2026. 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
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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

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

7 authors.

Shuaibin LianCollege of Physics and Electronic Engineering, Xinyang Normal University, Xinyang 464000, China.
Feixiang RenCollege of Physics and Electronic Engineering, Xinyang Normal University, Xinyang 464000, China.
Shuanghui CaiCollege of Physics and Electronic Engineering, Xinyang Normal University, Xinyang 464000, China.
Zhong WangCollege of Physics and Electronic Engineering, Xinyang Normal University, Xinyang 464000, China.
Youchao TuCollege of Physics and Electronic Engineering, Xinyang Normal University, Xinyang 464000, China.
Ke GongCollege of Physics and Electronic Engineering, Xinyang Normal University, Xinyang 464000, China.
Wei ZhangCollege of Life Sciences, Xinyang Normal University, Xinyang 464000, China.ORCID 0000-0002-8095-5178

Funding

Henan Province Central Leading Local Science and Technology Development Fund Project Funding Z20231811160
6 · The paper itself

Abstract

BACKGROUND/

objectivesThe arrangement and positioning of genes on chromosomes are non-random in plant genomes. Adjacent gene pairs often exhibit similar co-expression patterns and regulatory mechanisms. However, the genomic and epigenetic features influencing such co-expression, particularly in perennial crops like tea (

methodsFirstly, we identified 771 specific neighboring gene pairs (SNGs) in

resultsIntergenic distance was significantly negatively correlated with co-expression strength, while gene length showed a positive correlation. Furthermore, these two features exerted synergistic effects with threshold characteristics and functional significance. SNGs marked by either ATAC-seq or H3K27ac peaks displayed significantly higher expression levels, suggesting that epigenetic regulation promotes co-expression. In addition, correlation analysis revealed that the expression of certain SNGs was closely associated with catechin accumulation, particularly epicatechin gallate (EGC) and epigallocatechin gallate (EGCG), highlighting their potential role in modulating tissue-specific catechin levels.

conclusionsCollectively, this study reveals a multilayered regulatory framework governing SNG co-expression and provides theoretical insights and candidate regulators for understanding metabolic regulation in tea plants.

Indexed as

Camellia sinensisCatechinGene Expression Regulation, PlantEpigenesis, GeneticGenome, PlantMultiomicsPlant ProteinsTranscriptomeCatechinPlant Proteinsepigenetic regulationHi-Cintergenic distancemetabolic regulationneighboring gene pairstranscription factors

Identifiers

PMID41595537
PMCPMC12840829

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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.