Joint QTL mapping and gene expression analysis identify positional candidate genes influencing pork quality traits

27Citations
Citations of this article
75Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

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 map loci with potential effects on five meat quality traits recorded in the longissimus dorsi (LD) and gluteus medius (GM) muscles of 350 Duroc pigs, i.e. pH at 24 hours post-mortem (pH24), electric conductivity (CE) and muscle redness (a∗), lightness (L∗) and yellowness (b∗). We have found significant genome-wide associations for CE of LD on SSC4 (∼104 Mb), SSC5 (∼15 Mb) and SSC13 (∼137 Mb), while several additional regions were significantly associated with meat quality traits at the chromosome-wide level. There was a low positional concordance between the associations found for LD and GM traits, a feature that reflects the existence of differences in the genetic determinism of meat quality phenotypes in these two muscles. The performance of an eQTL search for SNPs mapping to the regions associated with meat quality traits demonstrated that the GM a∗ SSC3 and pH24 SSC17 QTL display positional concordance with cis-eQTL regulating the expression of several genes with a potential role on muscle metabolism.

Cite

CITATION STYLE

APA

González-Prendes, R., Quintanilla, R., Cánovas, A., Manunza, A., Cardoso, T. F., Jordana, J., … Amills, M. (2017). Joint QTL mapping and gene expression analysis identify positional candidate genes influencing pork quality traits. Scientific Reports, 7. https://doi.org/10.1038/srep39830

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free