Evidence map›Paper›PMID 41922675›Full record

ArticleScientific reports2026

snRNA sequencing-based skeletal muscle analysis of Jiangquan black pigs with different average daily growth rates.

Hongzhen Cao, Jing Wang, Yunzhou Wang, Xinlin Jin, Jingsen Huang, Wei Chen, Hui Tang, Junfeng Chen, Baosong Xing, Yongqing Zeng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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
–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

10 authors.

Hongzhen CaoShandong Provincial Key Laboratory for Livestock Germplasm Innovation & Utilization, College of Animal Science and Technology, Shandong Agricultural University, Tai'an, 271018, Shandong, China.
Jing WangHenan Key Laboratory of Farm Animal Breeding and Nutritional Regulation, Henan Pig Breeding Engineering Research Centre, Institute of Animal Husbandry, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, China.
Yunzhou WangDepartment of Veterinary Medicine, Shandong Vocational Animal Science and Veterinary College, Wei'fang, 261061, Shandong, China.
Xinlin JinShandong Provincial Key Laboratory for Livestock Germplasm Innovation & Utilization, College of Animal Science and Technology, Shandong Agricultural University, Tai'an, 271018, Shandong, China.
Jingsen HuangShandong Provincial Key Laboratory for Livestock Germplasm Innovation & Utilization, College of Animal Science and Technology, Shandong Agricultural University, Tai'an, 271018, Shandong, China.
Wei ChenShandong Provincial Key Laboratory for Livestock Germplasm Innovation & Utilization, College of Animal Science and Technology, Shandong Agricultural University, Tai'an, 271018, Shandong, China.
Hui TangShandong Provincial Key Laboratory for Livestock Germplasm Innovation & Utilization, College of Animal Science and Technology, Shandong Agricultural University, Tai'an, 271018, Shandong, China.
Junfeng ChenHenan Key Laboratory of Farm Animal Breeding and Nutritional Regulation, Henan Pig Breeding Engineering Research Centre, Institute of Animal Husbandry, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, China.
Baosong XingHenan Key Laboratory of Farm Animal Breeding and Nutritional Regulation, Henan Pig Breeding Engineering Research Centre, Institute of Animal Husbandry, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, China. bsxing@126.com.
Yongqing ZengShandong Provincial Key Laboratory for Livestock Germplasm Innovation & Utilization, College of Animal Science and Technology, Shandong Agricultural University, Tai'an, 271018, Shandong, China. yqzeng@sdau.edu.cn.

Funding

Shandong Province Pig Industry Technology System Project No. SDAIT-08-02the Agricultural Animal Breeding Project of Shandong Province No. 2020LZGC012the National Key R&D Program of China No. 2021YFD1301200
6 · The paper itself

Abstract

The Jiangquan black pigs, a new breed of swine obtained by introducing traits from Duroc pigs into Yimeng black pigs, exhibits fast growth rates and high meat quality. To understand how daily weight gain influences muscle development in this breed, we analyzed longissimus dorsi muscle cell subpopulations from Jiangquan black pigs using snRNA and bulk RNA sequencing. Thirteen distinct cell types (e.g., muscle stem cells, satellite cells, fibroblasts) were identified, and marker genes (PAX7, MYOD, MYOG) were found to exhibit stage-specific expression during differentiation. Pseudotime analysis revealed the differentiation trajectories of these cell populations, while cell cycle analysis uncovered the higher mitotic activity in satellite cells of the fast-growth versus slow-growth groups. Furthermore, cell communication analysis highlighted the interactions between muscle cells and other cell types. Finally, intergroup analysis revealed that 2,466 and 2,597 genes were differentially expressed in muscle stem cells and muscle satellite cells, respectively. These genes were enriched in disease-related pathways. This study provides a single-cell resolution atlas of porcine muscle development, offering insights into the genetic regulation of growth and potential targets for breeding optimization.

Indexed as

Muscle, SkeletalRNA, Small NuclearAnimalsBreedingCell DifferentiationGene Expression ProfilingMuscle DevelopmentSatellite Cells, Skeletal MuscleSequence Analysis, RNASwineRNA, Small NuclearJiangquan black pigsMuscle cellsMuscle developmentSnRNA-seq

Identifiers

PMID41922675
PMCPMC13184087

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.