Evidence map›Paper›PMID 40426050›Full record

ArticleBMC microbiology2025

Breed-specific differences of gut microbiota and metabolomic insights into fat deposition and meat quality in Chinese Songliao Black Pig and Large White × Landrace Pig Breeds.

Suthar Teerath Kumar, Yunpeng Zhang, Qi Zhang, Riaz Muhammad Azeem, Zhang Jing, Li Pan, Wu-Sheng Sun, Yuan Zhao, Shu-Min Zhang

Abstract read
In one paragraph

Article in BMC microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Beyond Genes: Metabolomic Evidence Indicates Potential Species-Level Differentiation in European Wild Rabbits.Journal of experimental zoology. Part A, Ecological and integrative physiology · 2026
    Article
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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.

Suthar Teerath KumarKey Laboratory of Animal Production, Product Quality and Security, Ministry of Education, College of Animal Science and Technology, Jilin Agricultural University, Changchun, 130118, China.
Yunpeng ZhangKey Laboratory of Animal Production, Product Quality and Security, Ministry of Education, College of Animal Science and Technology, Jilin Agricultural University, Changchun, 130118, China.
Qi ZhangKey Laboratory of Animal Production, Product Quality and Security, Ministry of Education, College of Animal Science and Technology, Jilin Agricultural University, Changchun, 130118, China.
Riaz Muhammad AzeemJilin Provincial Engineering Research Center of Animal Probiotics, Jilin Provincial Key Laboratory of Animal Microecology and Healthy Breeding, Engineering Research Center of Microecological Vaccines (Drugs) for Major Animal Diseases, Ministry of Education, College of Animal Science and Technology, Jilin Agricultural University, 2888 Xincheng Street, Changchun, 130118, China.
Zhang JingKey Laboratory of Grain and Oil Biotechnology, Academy of National Food and Strategic Reserves Administration, 11 Baiwanzhuang Avenue, Xicheng District, Beijing, 100037, China.
Li PanKey Laboratory of Animal Production, Product Quality and Security, Ministry of Education, College of Animal Science and Technology, Jilin Agricultural University, Changchun, 130118, China.
Wu-Sheng SunJilin Provincial Engineering Research Center of Animal Probiotics, Jilin Provincial Key Laboratory of Animal Microecology and Healthy Breeding, Engineering Research Center of Microecological Vaccines (Drugs) for Major Animal Diseases, Ministry of Education, College of Animal Science and Technology, Jilin Agricultural University, 2888 Xincheng Street, Changchun, 130118, China. sunwsh@jlau.edu.cn.
Yuan ZhaoKey Laboratory of Animal Production, Product Quality and Security, Ministry of Education, College of Animal Science and Technology, Jilin Agricultural University, Changchun, 130118, China. zhaoyuan4CL52@126.com.
Shu-Min ZhangKey Laboratory of Animal Production, Product Quality and Security, Ministry of Education, College of Animal Science and Technology, Jilin Agricultural University, Changchun, 130118, China. shumin1961@126.com.

Funding

National Key Research and Development Program of China 2023YFF1001000The Key Technology Research and Development Program of Jilin Province of China 20240303066NCThe Key Technology Research and Development Program of Jilin Province of China 20240303075NC
6 · The paper itself

Abstract

backgroundGut microbiota ferment non-digestible substances to produce metabolites that accumulate in muscle and influence host metabolism. However, the regulatory mechanisms connecting gut microbiota, metabolites, and fat deposition across pig breeds remain unclear. This study explores the gut-muscle axis regulating fat deposition and meat quality in Chinese Songliao Black Pig (SBP) and Large White × Landrace Pigs (LWLDP). Digesta samples from the ileum, cecum, and rectum of both breeds were analyzed using 16 S rRNA sequencing for microbiome profiling and ultra-high-performance liquid chromatography (UHPLC) for metabolomics. Multi-omics data, including microbiota and metabolite profiles were integrated with our previously published data of transcriptomics and metabolomics insights into fat deposition in the longissimus dorsi (LD) muscle using the MixOmics DIABLO method.

resultsMicrobiome analysis revealed that Fibrobacter, Unidentified_Peptostreptococcaceae, Sutterella, and Unidentifed_Rickettsiales were enriched in SBP, while Ruminococcus, Corynebacterium, and Streptococcaceae in LWLDP. Metabolomic analysis indicated that SBP was enriched in fatty acid biosynthesis pathways, including linoleic acid, α-linolenic acid, and arachidonic acid, whereas LWLDP was associated with insulin signaling, starch and sucrose metabolism. Integrated analysis identified Peptostreptococcaceae and Rickettsiales in SBP, along with metabolites phosphatidylcholine (PC(22:4)), N-acylethanolamine (NAE(20:4)), and lysophosphatidylcholine (LysoPC(24:1)) were correlated with key genes (EIF4E, MSTN, PPARGC1A, NR4A3, and SOCS1) regulating fat deposition. In LWLDP, Corynebacterium and Streptococcaceae were linked to the PPP1R3B gene, which is involved in glycogen metabolism, as well as metabolites 2-methyl-3-hydroxybutyric acid and 5-keto-gluconic acid, suggesting a shift toward glycolysis over lipolysis.

conclusionThis study concluded that cecum-associated microbes in LWLDP may enhance carbohydrate metabolism, leading to reduced fat deposition, whereas rectum-associated microbes in SBP contribute to docosahexaenoic acid (DHA) biosynthesis, thereby improving meat quality. These findings highlight gut microbiota-derived metabolites as potential biomarkers for optimizing meat production and livestock breeding strategies.

Indexed as

BacteriaGastrointestinal MicrobiomeMeatAnimalsBreedingCecumMetabolomicsRNA, Ribosomal, 16SSwineRNA, Ribosomal, 16SFat depositionGut microbiomesGut–muscle axisMeat qualityMetabolitesPig breeds

Identifiers

PMID40426050
PMCPMC12117720

What Socratic 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 Socratic graph.