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Transcriptome analyses reveal genes and pathways associated with fatty acid composition traits in pigs
1State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, 330045, Nanchang, China.
Animal Genetics
|October 17, 2017
Summary
Understanding pig fatty acid composition reveals links to meat quality and human health conditions like Type II diabetes. This study connects gene expression in liver and muscle to fatty acid traits, identifying key genes and biological pathways.
Area of Science:
- Animal Genetics and Genomics
- Nutritional Biochemistry
- Metabolic Disease Research
Background:
- Fatty acid composition impacts pork quality and human metabolic health (obesity, diabetes).
- Liver and muscle are key tissues regulating fatty acid metabolism.
- Genetic factors influence fatty acid profiles in livestock and humans.
Purpose of the Study:
- To investigate correlations between liver and muscle gene expression and fatty acid composition in pigs.
- To identify candidate genes and biological pathways associated with fatty acid traits.
- To explore the genetic basis of fatty acid variation in a pig resource population.
Main Methods:
- Analysis of liver and muscle transcriptomes in 335 F2 pigs.
- Correlation analysis between gene expression and muscle/fat fatty acid composition.
- Gene co-expression network analysis and expression quantitative trait loci (eQTL) mapping.
Main Results:
- Significant correlations found between transcripts and fatty acid traits, enriched in triglyceride catabolism, mitochondrial function, and immune/disease pathways (e.g., Type II diabetes).
- Liver gene networks linked to fatty acid unsaturation involved platelet activation and interferon signaling.
- ELOVL6 and SCD identified as candidate genes for specific fatty acid ratios on chromosomes 8 and 14.
Conclusions:
- Pig fatty acid composition is influenced by genes involved in metabolism, mitochondrial function, and immune responses.
- Gene expression in liver and muscle plays a crucial role in determining fatty acid profiles.
- This research provides insights into the genetic architecture of fatty acid traits with implications for both animal breeding and human health.
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