Evidence map›Paper›PMID 41299762›Full record

ArticleCell & bioscience2025

Deciphering the epigenomic regulatory variations reveals function diversity in adipose lineage among different adipose depots of pigs.

Daoyuan Wang, Renzhuo Kuang, Mingyang Hu, Jiahao Sun, Zhixiang Xu, Yu Shen, Hao Peng, Xiaolong Qi, Honghong Zhou, Yaping Guo and 7 more

Abstract read
In one paragraph

Article in Cell & bioscience, 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

17 authors.

Daoyuan Wang *Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, Huazhong Agricultural University, Wuhan, China.
Renzhuo Kuang *Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, Huazhong Agricultural University, Wuhan, China.
Mingyang Hu *Yazhouwan National Laboratory, Sanya City, China.
Jiahao SunKey Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, Huazhong Agricultural University, Wuhan, China.
Zhixiang XuKey Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, Huazhong Agricultural University, Wuhan, China.
Yu ShenKey Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, Huazhong Agricultural University, Wuhan, China.
Hao PengKey Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, Huazhong Agricultural University, Wuhan, China.
Xiaolong QiYazhouwan National Laboratory, Sanya City, China.
Honghong ZhouYazhouwan National Laboratory, Sanya City, China.
Yaping GuoKey Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, Huazhong Agricultural University, Wuhan, China.
Ruixian MaKey Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, Huazhong Agricultural University, Wuhan, China.
Zheyu HanKey Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, Huazhong Agricultural University, Wuhan, China.
Yan ZhangKey Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, Huazhong Agricultural University, Wuhan, China.
Yixin ZhaoYazhouwan National Laboratory, Sanya City, China.
Mengjin ZhuKey Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, Huazhong Agricultural University, Wuhan, China. zhumengjin@mail.hzau.edu.cn.
Yinlong LiaoYazhouwan National Laboratory, Sanya City, China. liaoyinlong@yzwlab.cn.
Yunxia ZhaoKey Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, Huazhong Agricultural University, Wuhan, China. yxzhao@mail.hzau.edu.cn.ORCID http://orcid.org/0000-0002-2253-2484

Funding

Hubei Provincial Foundation HBZY2023B006-02National Key Research and Development Program of China 2021YFD1301201National Natural Science Foundation of China 31961143020National Natural Science Foundation of China (32341051
6 · The paper itself

Abstract

The distribution of adipose depots in different body parts affects pig production value and human health, governed by complex epigenomic mechanisms. Limited studies on pig adipose depots have hindered the genetic improvement of fat-related economic traits and their biomedical applications. To address this issue, we generated epigenomic maps for backfat, belly fat, groin fat, and intermuscular fat (IMF) in Meishan pigs, integrating ChIP-seq, ATAC-seq, RNA-seq, Hi-C, and public whole-genome sequencing data. Our results reveal that belly/backfat share similar chromatin states, while groin fat/IMF exhibit distinct H3K27ac modification, super-enhancer (SE) dynamics, and open chromatin landscapes compared to belly/backfat. The spatially specific expressions of adipogenic transcription factors (TFs), such as lipid synthesis-related TFs PPARA and SOX6, which are highly expressed in back/belly fat, and adipocyte differentiation TF KLF4 was driven by a groin fat specific SE, underlie these chromatin state disparities. These results also suggest enhanced lipid synthesis in belly/backfat and adipocyte differentiation in groin fat. Moreover, candidate functional variants identified in IMF-gained H3K27ac peaks are primarily associated with meat quality traits. Genes linked to pig backfat thickness may also serve as candidate genes for human obesity due to the conserved cis-regulatory elements and gene expression patterns between humans and pigs. Overall, our epigenomic landscape enhances understanding of adipose depot regulation in mammals, facilitating cross-species insights and precision breeding.

Indexed as

Backfat thicknessCis-regulatory elementsDifferent adipose depotsFunctional variantsIMF content

Identifiers

PMID41299762
PMCPMC12750676

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LicenceCC BY-NC-ND
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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.