Evidence map›Paper›PMID 40369752›Full record

ArticleAnimal bioscience2025

Comparative transcriptome analysis reveals the patterns of gene expression in different venison cuts of sika deer (Cervus nippon).

Lan Tang, Qianghui Wang, Haihua Xing, Yukai Ma, Zihui Sun, Tao Zhu, Heping Li

Abstract read
In one paragraph

Article in Animal bioscience, 2025. 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. Article
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.

Lan TangCollege of Wildlife and Protected Area, Northeast Forestry University, Harbin, China.
Qianghui WangCollege of Wildlife and Protected Area, Northeast Forestry University, Harbin, China.
Haihua XingCollege of Wildlife and Protected Area, Northeast Forestry University, Harbin, China.
Yukai MaCollege of Wildlife and Protected Area, Northeast Forestry University, Harbin, China.
Zihui SunCollege of Wildlife and Protected Area, Northeast Forestry University, Harbin, China.
Tao ZhuCollege of Wildlife and Protected Area, Northeast Forestry University, Harbin, China.
Heping LiCollege of Wildlife and Protected Area, Northeast Forestry University, Harbin, China.

Funding

Universities of Heilongjiang Province LJGXCG2022-008
6 · The paper itself

Abstract

objectiveVenison (deer meat) is increasingly favored by consumers for its safety, nutrition, flavor, and natural qualities. However, venison cuts in different regions of the carcass have different meat quality due to their distinct physiological function. To investigate the molecular basis of these variations, RNA-seq was used to compare gene expression pattern across different cuts of venison.

methodsIn this study, we performed a transcriptomic analysis based on RNA-seq data of 72 cuts from 6 different body parts of sika deer (Cervus nippon, n = 12), with the aim of understanding the genetic factors affecting the differences in venison quality, providing important references for further deer breeding.

resultsWe identified 139,111 expressed genes, including 79 region-specific genes enriched in pathways crucial for meat texture, tenderness, and nutrition. Differential gene expression analysis revealed significant variations among venison cuts, especially between the longissimus dorsi and trapezius cuts, highlighting roles in metal ion transport, organic acid biosynthesis, and glycolysis/gluconeogenesis. Additionally, fatty acid metabolism genes showed stable expression, while muscle fiber structure genes varied, affecting tenderness and juiciness.

conclusionOur findings provide insights into the genetic factors influencing venison quality, offering a foundation for future breeding strategies to enhance meat quality.

Indexed as

Gene ExpressionMeat QualitySika DeerTranscriptomeVenison

Identifiers

PMID40369752
PMCPMC12580950

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.