Evidence map›Paper›PMID 40624004›Full record

ArticleNPJ science of food2025

Integrated transcriptomic analysis unveils molecular mechanisms regulating meat quality in newly improved black goat breeds.

Yong Long, Naifeng Zhang, Yanliang Bi, Tao Ma, Pramote Paengkoum, Wen Xiao, Yanpin Zhao, Chao Yuan, Defeng Wang, Yang Yang and 2 more

Abstract read
In one paragraph

Article in NPJ science of food, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Muscle Quality Responses of Pearl Gentian Grouper (Foods (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
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

12 authors.

Yong LongGuizhou University of Traditional Chinese Medicine, Guiyang, China.
Naifeng ZhangInstitute of Feed Research of Chinese Academy of Agricultural Science, Beijing, China.
Yanliang BiInstitute of Feed Research of Chinese Academy of Agricultural Science, Beijing, China.
Tao MaInstitute of Feed Research of Chinese Academy of Agricultural Science, Beijing, China.
Pramote PaengkoumSchool of Animal Technology and Innovation, Institute of Agricultural Technology, Suranaree University of Technology, Nakhon Ratchasima, Thailand.
Wen XiaoInstitute of Animal Husbandry and Veterinary Sciences, Guizhou Academy of Agricultural Sciences, Guiyang, China.
Yanpin ZhaoInstitute of Animal Husbandry and Veterinary Sciences, Guizhou Academy of Agricultural Sciences, Guiyang, China.
Chao YuanInstitute of Animal Husbandry and Veterinary Sciences, Guizhou Academy of Agricultural Sciences, Guiyang, China.
Defeng WangInstitute of Animal Husbandry and Veterinary Sciences, Guizhou Academy of Agricultural Sciences, Guiyang, China.
Yang YangInstitute of Animal Husbandry and Veterinary Sciences, Guizhou Academy of Agricultural Sciences, Guiyang, China.
Chaozhi SuInstitute of Animal Husbandry and Veterinary Sciences, Guizhou Academy of Agricultural Sciences, Guiyang, China.
Yong HanGuizhou University of Traditional Chinese Medicine, Guiyang, China. Yonghan978@outlook.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to integrate transcriptomes to reveal the regulatory molecular mechanisms of meat quality in different black goat breeds. A comparison of Guizhou Black Goats (GBG♂, n = 7), Black Nubian Goats (NBG♂, n = 7), and their F1 hybrids (FBG♂, GB♀ × NB♂, n = 7) revealed that the FBG demonstrated notable improvements in meat quality parameters, muscle fiber traits, fatty acid and amino acid compositions, mineral content, intramuscular fat (IMF), and inosine monophosphate (IMP) levels. Moreover, transcriptome analysis identified 119, 77, and 82 differentially expressed genes (DEGs) in the GBG vs NBG, FBG vs GBG, and FBG vs NBG comparisons, respectively. Among these, 111, 74, and 82 DEGs were associated with IMF deposition, and 61, 34, and 32 DEGs were linked to IMP deposition, respectively. Of particular note, the analysis pinpointed key genes related to IMF (PFKM and FZD4) and IMP (AMPD3, ENPP1, ENTPD1, ENTPD8, and PRPS2), laying a solid data groundwork for future research aimed at enhancing the meat quality of black goats.

Identifiers

PMID40624004
PMCPMC12234997

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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.