Evidence map›Paper›PMID 40877790›Full record

ArticleBMC genomics2025

Transcriptome analysis reveals key genes and regulatory networks underlying intramuscular fat deposition in rabbits.

Hui Wang, Yuan Chen, Chengcheng Zhao, Xinxin Ping, Zhuoya Jin, Qianting Duan, Bing Song, Zhanjun Ren, Xianggui Dong

Abstract read
In one paragraph

Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

9 authors.

Hui WangKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China.
Yuan ChenKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China.
Chengcheng ZhaoKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China.
Xinxin PingKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China.
Zhuoya JinKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China.
Qianting DuanKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China.
Bing SongKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China.
Zhanjun RenKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China.
Xianggui DongKey Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China. xgdong@nwafu.edu.cn.

Funding

Chinese Universities Scientific Fund 2452020187
6 · The paper itself

Abstract

backgroundIntramuscular fat (IMF) is a critical determinant of meat quality in rabbits, influencing attributes such as tenderness, juiciness, and flavor. A moderate increase in IMF content is associated with enhanced meat quality. In this study, we evaluated the growth performance, slaughter performance, and meat quality traits of the longissimus dorsi (LD) muscles in Hycole and Rex rabbits across various growth stages. Utilizing transcriptome sequencing, we identified and analyzed differentially expressed mRNAs (DE mRNAs) and long non-coding RNAs (DE lncRNAs), and constructed lncRNA-mRNA regulatory networks to investigate candidate genes influencing IMF content in Rex rabbits at different developmental stages.

resultsThe results demonstrated an age-dependent increase in IMF content for both breeds, with Rex rabbits consistently exhibiting higher IMF levels compared to Hycole rabbits at equivalent ages. Through whole transcriptome sequencing, we identified several DE mRNAs and DE lncRNAs associated with fat deposition across various developmental stages and breeds. These include KCNQ5, POSTN, TMEM182, CASQ2, ME1, and COL6A6, as well as lncRNAs such as TCONS_00009631, TCONS_00082976, TCONS_00040377, TCONS_00051990, and TCONS_00069025. Enrichment analysis revealed that these genes are implicated in key signaling pathways related to fat deposition, including the Wnt, TGF-β, and PPAR signaling pathways. RNA sequencing data further revealed that age significantly impacts IMF deposition, with the most pronounced differences observed between 35-day-old and 150-day-old rabbits. Additionally, through comprehensive lncRNA-mRNA regulatory network, short time-series expression miner (STEM) analyses, and weighted gene co-expression network analysis (WGCNA), we identified 10 lncRNA-mRNA target gene pairs associated with IMF deposition, including critical genes implicated in fat accumulation such as STARD13, HSPB8, and CBLB.

conclusionsThis work provided regulatory networks of rabbits and revealed STARD13, HSPB8, and CBLB as the key genes responsible for IMF deposition. Our findings highlight that IMF deposition in rabbits triggers dynamic transcriptional alterations. These findings provide a robust theoretical foundation for advancing genetic breeding strategies and elucidating the regulatory mechanism underlying adipose development in rabbits.

Indexed as

Adipose TissueGene Expression ProfilingGene Regulatory NetworksMuscle, SkeletalTranscriptomeAnimalsRabbitsRNA, Long NoncodingRNA, MessengerRNA, Long NoncodingRNA, MessengerIntramuscular fatLncRNAmRNARabbitTranscriptome sequencing

Identifiers

PMID40877790
PMCPMC12395864

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LicenceCC BY-NC-ND
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Registered trials

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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.