A comprehensive search for quantitative trait loci affecting growth and carcass composition of cattle segregating alternative forms of the myostatin gene.

2001 ◽  
Vol 79 (4) ◽  
pp. 854 ◽  
Author(s):  
E Casas ◽  
R T Stone ◽  
J W Keele ◽  
S D Shackelford ◽  
S M Kappes ◽  
...  
BMC Genetics ◽  
2011 ◽  
Vol 12 (1) ◽  
pp. 76 ◽  
Author(s):  
Pierre Cherel ◽  
José Pires ◽  
Jérôme Glénisson ◽  
Denis Milan ◽  
Nathalie Iannuccelli ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Kaitlyn R. Daza ◽  
Deborah Velez-Irizarry ◽  
Sebastian Casiró ◽  
Juan P. Steibel ◽  
Nancy E. Raney ◽  
...  

Determining mechanisms regulating complex traits in pigs is essential to improve the production efficiency of this globally important protein source. MicroRNAs (miRNAs) are a class of non-coding RNAs known to post-transcriptionally regulate gene expression affecting numerous phenotypes, including those important to the pig industry. To facilitate a more comprehensive understanding of the regulatory mechanisms controlling growth, carcass composition, and meat quality phenotypes in pigs, we integrated miRNA and gene expression data from longissimus dorsi muscle samples with genotypic and phenotypic data from the same animals. We identified 23 miRNA expression Quantitative Trait Loci (miR-eQTL) at the genome-wide level and examined their potential effects on these important production phenotypes through miRNA target prediction, correlation, and colocalization analyses. One miR-eQTL miRNA, miR-874, has target genes that colocalize with phenotypic QTL for 12 production traits across the genome including backfat thickness, dressing percentage, muscle pH at 24 h post-mortem, and cook yield. The results of our study reveal genomic regions underlying variation in miRNA expression and identify miRNAs and genes for future validation of their regulatory effects on traits of economic importance to the global pig industry.


2003 ◽  
Vol 81 (12) ◽  
pp. 2976-2983 ◽  
Author(s):  
E. Casas ◽  
S. D. Shackelford ◽  
J. W. Keele ◽  
M. Koohmaraie ◽  
T. P. L. Smith ◽  
...  

2006 ◽  
Vol 82 (3) ◽  
pp. 301-309 ◽  
Author(s):  
E. Karamichou ◽  
R.I. Richardson ◽  
G.R. Nute ◽  
K.A. McLean ◽  
S.C. Bishop

AbstractQuantitative trait loci (QTL) were identified for traits related to carcass and meat quality in Scottish Blackface sheep. The population studied was a double backcross between lines of sheep divergently selected for carcass lean content (LEAN and FAT lines), comprising nine half-sib families. Carcass composition (600 lambs) was assessed non-destructively using computerized tomography (CT) scanning and meat quality measurements (initial and final pH of m. semimembranosus, colour, shear force value, carcass weight, lamb flavour, juiciness, tenderness and overall liking) were taken on 300 male lambs. Lambs and their sires were genotyped across candidate regions on chromosomes 1, 2, 3, 5, 14, 18, 20 and 21. QTL analyses were performed using regression interval mapping techniques. In total, nine genome-wise significant and 11 chromosome-wise and suggestive QTL were detected in seven out of eight chromosomes. Genome-wise significant QTL were mapped for lamb flavour (OAR 1); for muscle densities (OAR 2 and OAR 3); for colour a*(redness) (OAR 3); for bone density (OAR 1); for slaughter live weight (OAR 1 and OAR 2) and for the weights of cold and hot carcass (OAR 5). The QTL with the strongest statistical evidence affected the lamb flavour of meat and was on OAR 1, in a region homologous with a porcine SSC 13 QTL identified for pork flavour. This QTL segregated in four of the nine families. This study provides new information on QTL affecting meat quality and carcass composition traits in sheep, which may lead to novel opportunities for genetically improving these traits.


2006 ◽  
Vol 84 (4) ◽  
pp. 789-799 ◽  
Author(s):  
H. J. van Wijk ◽  
B. Dibbits ◽  
E. E. Baron ◽  
A. D. Brings ◽  
B. Harlizius ◽  
...  

2000 ◽  
Vol 78 (3) ◽  
pp. 560 ◽  
Author(s):  
E Casas ◽  
S D Shackelford ◽  
J W Keele ◽  
R T Stone ◽  
S M Kappes ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document