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Copy Number Variation on ABCC2-DNMBP Loci Affects the Diversity and Composition of the Fecal Microbiota in Pigs
(American Society for Microbiology, 2023-05-31)
Genetic variation in the pig genome partially modulates the composition of porcine gut microbial communities. Previous studies have been focused on the association between single nucleotide polymorphisms ...
RNA-seq based detection of differentially expressed genes in the skeletal muscle of Duroc pigs with distinct lipid profiles
(Nature Research, 2017-02-14)
We have used a RNA-seq approach to investigate differential expression in the skeletal muscle of swine
(N=52) with divergent lipid profiles i.e. HIGH (increased intramuscular fat and muscle saturated ...
Joint QTL mapping and gene expression analysis identify positional candidate genes influencing pork quality traits
(Nature Research, 2017-01-05)
Meat quality traits have an increasing importance in the pig industry because of their strong impact on
consumer acceptance. Herewith, we have combined phenotypic and microarray expression data to ...
Identification of strong candidate genes for backfat and intramuscular fatty acid composition in three crosses based on the Iberian pig
(Nature Research, 2020-08-18)
Meat quality has an important genetic component and can be modified by the fatty acid (FA) composition and the amount of fat contained in adipose tissue and muscle. The present study aimed to find genomic ...
About the existence of common determinants of gene expression in the porcine liver and skeletal muscle
(BMC, 2019-06-24)
Background: The comparison of expression QTL (eQTL) maps obtained in different tissues is an essential step to
understand how gene expression is genetically regulated in a context-dependent manner. In ...
kernInt: A Kernel Framework for Integrating Supervised and Unsupervised Analyses in Spatio-Temporal Metagenomic Datasets
(Frontiers Media, 2021-01-28)
The advent of next-generation sequencing technologies allowed relative quantification of microbiome communities and their spatial and temporal variation. In recent years, supervised learning (i.e., ...