Evidence map›Paper›PMID 36085018›Full record

ArticleBMC genomics2022

Comparative transcriptome analysis of longissimus dorsi tissues with different intramuscular fat contents from Guangling donkeys.

Wufeng Li, Lixia Qiu, Jiawei Guan, Yutong Sun, Jingwei Zhao, Min Du

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.1field-weighted citation impact, top 14% of its field
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

18 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  4. Review
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  8. Application of Omics in Donkey Meat Research: A Review.Animals : an open access journal from MDPI · 2025
    Review
  9. Unraveling the genetic and physiological potential of donkeys: insights from genomics, proteomics, and metabolomics approaches.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Review
  10. Article
  11. Article
  12. Article
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  14. Review
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  16. Article
  17. Review
  18. The role of WNT10B in physiology and disease: A 10-year update.Frontiers in cell and developmental biology · 2023
    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

6 authors at 2 institutions in 2 countries.

Wufeng Li *College of Life Sciences, Shanxi Agricultural University, Taigu, 030801, People's Republic of China. leewf1967@163.com.
Lixia Qiu *College of Life Sciences, Shanxi Agricultural University, Taigu, 030801, People's Republic of China.
Jiawei GuanCollege of Life Sciences, Shanxi Agricultural University, Taigu, 030801, People's Republic of China.
Yutong SunCollege of Life Sciences, Shanxi Agricultural University, Taigu, 030801, People's Republic of China.
Jingwei ZhaoCollege of Life Sciences, Shanxi Agricultural University, Taigu, 030801, People's Republic of China.
Min DuDepartment of Animal Sciences, Washington Center for Muscle Biology, Washington State University, Pullman, Washington, 99164-6310, USA. min.du@wsu.edu.
Shanxi Agricultural University · CNWashington Center · US

Funding

Shanxi Agricultural University 2019HX78ShanXi Science and Technology Department 2011803D421022
6 · The paper itself

Abstract

backgroundDonkey meat has low fat and high protein contents and is rich in various unsaturated fatty acids and trace elements that are beneficial to human digestion and absorption. IMF (intramuscular fat), also known as marbling, is an important indicator of the lean meat to fat ratio, which directly affects the tenderness and juiciness of the meat. At present, the underlying molecular variations affecting IMF content among donkey breeds are unclear. The Guangling donkey is an indigenous species in China. This study explored candidate regulatory genes that affect IMF content in Guangling donkeys. The IMF content of the longissimus dorsi muscle in 30 Guangling donkeys was measured. Six donkeys of similar age were selected according to age factors and divided into two groups, the high (H) and low (L) fat groups, according to their IMF content.

resultsRNA-seq technology was used to compare the muscle transcriptome between the two groups. More than 75.0% of alternative splicing (AS) events were of the skipped exon (SE) type. A total of 887 novel genes were identified; only 386 novel genes were aligned to the annotation information of various databases. Transcriptomics analysis revealed 167 differentially expressed genes (DEGs), of which 64 were upregulated and 103 were downregulated between the H and L groups. Gene ontology analysis showed that the DEGs were enriched in multiple biological processes and pathways that are related to adipocyte differentiation, lipid synthesis, and neutral lipid metabolism. KEGG pathway analysis suggested that arachidonic acid metabolism, the HIF-1 signalling pathway, fructose and mannose metabolism, glycerophospholipid metabolism, and the AMPK signalling pathway were involved in lipid deposition. In addition, a gene-gene interaction network was constructed that revealed that the DEGs, including SCD, LEPR, CIDEA, DLK1, DGAT2, ITGAL, HMOX1, WNT10B, and DGKA, had significant roles in adipocyte differentiation and adipogenesis. The selected DEGs were further validated by qRT-PCR.

conclusionThis study improves the in-depth understanding of gene regulation and protein expression regarding IMF deposition and lays a basis for subsequent molecular breeding studies in Guangling donkeys.

Indexed as

EquidaeTranscriptomeAdipose TissueAnimalsGene Expression ProfilingHumansLipidsParaspinal MusclesLipidsDEGsGuangling donkeysIMFLipid depositionTranscriptome

Identifiers

PMID36085018
PMCPMC9463830
OpenAlexW4295037933

What OpenQuestion holds

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LicenceCC BY
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.