ArticleBMC genomics2021
Candidate gene screening for lipid deposition using combined transcriptomic and proteomic data from Nanyang black pigs.
Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 30 citations in OpenAlex.
- Applications of omics-based phenotyping technologies in animal genetic breeding.Science China. Life sciences · 2026Review
- Regulatory networks involved in modulating fat deposition in pigs identified by gene co-expression analysis.BMC genomics · 2026Article
- Integrating transcriptome and proteome profiles to compare carcass and meat quality traits between Songliao and Songlei black pigs.Frontiers in nutrition · 2026Article
- Integration of ATAC-Seq, Transcriptomic, and Proteomics Reveals the Molecular Mechanism of Intramuscular Fat Deposition and Meat Tenderness Regulation in Pig Breeds.Biomolecules · 2025Article
- A New Family-Based Approach for Detecting Allele-Specific Expression and for Mapping Possible eQTLs.Animals : an open access journal from MDPI · 2025Article
- Genome-Wide Association Study of Gluteus Medius Muscle Size in a Crossbred Pig Population.Veterinary sciences · 2025Article
- Meta-analysis of muscle transcriptome data identifies key genes influencing intramuscular fat content in pigs.Animal bioscience · 2025Article
- Integrating parental genomes to reduce reference bias and identify intramuscular fat genes in Qinchuan Black pigs.Journal of animal science and biotechnology · 2025Article
- Skeletal muscle lncRNA profile associated with fatty acids in Nellore beef cattle.Scientific reports · 2025Article
- Multi-tool copy number detection highlights common body size-associated variants in miniature pig breeds from different geographical regions.BMC genomics · 2025Article
- Unraveling the genetic and epigenetic landscape governing intramuscular fat deposition in rabbits: Insights and implications.Food chemistry. Molecular sciences · 2024Review
- Genome-Wide Analysis Reveals Copy Number Variant GeneAnimals : an open access journal from MDPI · 2024Article
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- RNA-Seq based selection signature analysis for identifying genomic footprints associated with the fat-tail phenotype in sheep.Frontiers in veterinary science · 2024Article
- Identification of key genes affecting intramuscular fat deposition in pigs using machine learning models.Frontiers in genetics · 2024Article
- Integrative Analysis of Transcriptomic and Lipidomic Profiles Reveals a Differential Subcutaneous Adipose Tissue Mechanism among Ningxiang Pig and Berkshires, and Their Offspring.Animals : an open access journal from MDPI · 2023Article
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- The Antiviral Effect ofInternational journal of molecular sciences · 2022Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLower selection intensities in indigenous breeds of Chinese pig have resulted in obvious genetic and phenotypic divergence. One such breed, the Nanyang black pig, is renowned for its high lipid deposition and high genetic divergence, making it an ideal model in which to investigate lipid position trait mechanisms in pigs. An understanding of lipid deposition in pigs might improve pig meat traits in future breeding and promote the selection progress of pigs through modern molecular breeding techniques. Here, transcriptome and tandem mass tag-based quantitative proteome (TMT)-based proteome analyses were carried out using longissimus dorsi (LD) tissues from individual Nanyang black pigs that showed high levels of genetic variation.
resultsA large population of Nanyang black pigs was phenotyped using multi-production trait indexes, and six pigs were selected and divided into relatively high and low lipid deposition groups. The combined transcriptomic and proteomic data identified 15 candidate genes that determine lipid deposition genetic divergence. Among them, FASN, CAT, and SLC25A20 were the main causal candidate genes. The other genes could be divided into lipid deposition-related genes (BDH2, FASN, CAT, DHCR24, ACACA, GK, SQLE, ACSL4, and SCD), PPARA-centered fat metabolism regulatory factors (PPARA, UCP3), transcription or translation regulators (SLC25A20, PDK4, CEBPA), as well as integrin, structural proteins, and signal transduction-related genes (EGFR).
conclusionsThis multi-omics data set has provided a valuable resource for future analysis of lipid deposition traits, which might improve pig meat traits in future breeding and promote the selection progress in pigs, especially in Nanyang black pigs.
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