Evidence map›Paper›PMID 40002012›Full record

ArticleFoods (Basel, Switzerland)2025

Selection of Key Genes for Apricot Kernel Oil Synthesis Based on Transcriptome Analysis.

Dan Zhang, Zhong Zhao

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 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

2 authors.

Dan ZhangCollege of Forestry, Northwest A&F University, Yangling 712100, China.
Zhong ZhaoCollege of Forestry, Northwest A&F University, Yangling 712100, China.

Funding

Quality improvement technology of low-efficiency plantation forest ecosystem inthe Loess Plateau;The Subject: Multifunctional enhancementof Robinia pseudoacacia forests in hilly and gully areas and techniques for maintaining vegetationstability on the Loe 2022YFF1300400; 2022YFF1300405
6 · The paper itself

Abstract

The purpose of this study was to identify the key genes regulating apricot kernel oil (AKO) biosynthesis and understand the molecular pathways of AKO synthesis and accumulation. This study used two varieties of apricot kernel to determine the oil contents and primary fatty acid compositions at different developmental stages. Candidate genes for AKO biosynthesis were selected through transcriptome sequencing technology and weighted gene co-expression network analysis (WGCNA), and these genes were verified by quantitative reverse transcription polymerase chain reaction (qRT-PCR). The results indicate that during apricot ripening, the content of AKO exhibits an 'S'-shaped accumulation pattern. The primary fatty acid components are C18:1 and C18:2. The transcriptome sequencing produced 164.19 Gb of clean data and 17,411 differentially expressed genes. The WGCNA results indicate that significantly differentially expressed genes cluster into seven modules-gene clusters (module)-with the strongest correlations to AKO indicated in pink. Nineteen candidate genes were selected from the oil synthesis pathway and WGCNA results. The qRT-PCR results indicate that six key enzyme genes and three transcription factors play significant regulatory roles in AKO biosynthesis. This study elucidates the molecular pathways involved in AKO biosynthesis and explains the difference in oil content between bitter and sweet apricot kernels.

Indexed as

apricotfatty acid compositionoiltranscriptomeWGCNA

Identifiers

PMID40002012
PMCPMC11854223

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.