Evidence map›Paper›PMID 41625961›Full record

ArticleFood chemistry. Molecular sciences2026

Effect of variety differences on the meat quality traits and flavour of donkey meat based on transcriptomic and metabolomic analysis.

Juan Xiong, Yuan Wang, Wufeng Li, Xi Wang

Abstract read
In one paragraph

Article in Food chemistry. Molecular sciences, 2026. 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

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

1 citing paper in PubMed.

  1. Recent Advances in Omics Technology in Food Flavor.Foods (Basel, Switzerland) · 2026
    Review
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

4 authors.

Juan XiongCollege of Life Sciences, Shanxi Agricultural University, Taigu 030801, China.
Yuan WangCollege of Life Sciences, Shanxi Agricultural University, Taigu 030801, China.
Wufeng LiCollege of Life Sciences, Shanxi Agricultural University, Taigu 030801, China.
Xi WangInstitute of Ecological Agriculture and Animal Husbandry, Shanxi Agricultural University, Youyu 037200, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate whether variations in donkey meat quality stem from breed-specific regulation of muscle metabolism, we employed headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry (HS-SPME-GC-MS), together with metabolomic and transcriptomic analyses to compare the longissimus dorsi muscles of Guangling donkeys and Jinnan donkeys. The results indicated that the longissimus dorsi muscle of the Guangling donkeys group was more tender. Heptanal and nonenal make important contribution to the flavour of Guangling donkey meat, and the odor activity value (OAV) of heptanal was significantly higher than that in Jinnan donkey meat. Aldehydes were found to have the greatest influence on the flavour of donkey meat. The 932 differentially expressed genes (DEGs) identified through transcriptome analysis were primarily related to alanine, aspartate, glutamate, starch and sucrose metabolism, cGMP-PKG, MAPK, and estrogen signaling pathways. Metabolomics analysis revealed 76 differential metabolites that were significantly enriched in lipid-related pathways, including glucagon, AMPK, cAMP signaling, and cysteine and methionine metabolism. Collectively, these findings support our original hypothesis that coordinated gene-metabolite interactions underlie breed-specific differences in donkey meat quality. The preliminary identification of DEGs and metabolites affected by breed differences, together with the screening of major flavour compounds

Indexed as

FlavourLongissimus dorsiMetabolomicsMuscle qualityTranscriptomics

Identifiers

PMID41625961
PMCPMC12857184

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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.