Article
Myosin heavy chain profiles and body composition are different in old versus young Standardbred mares.
Department of Exercise Science, University of Maine, Orono, ME, USA.
The Veterinary Journal (impact factor:
2.24).
02/2004;
167(1):59-66.
Source: PubMed
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Citations (0)
- Cited In (3)
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Article: Genome-wide analysis reveals selection for important traits in domestic horse breeds.
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ABSTRACT: Intense selective pressures applied over short evolutionary time have resulted in homogeneity within, but substantial variation among, horse breeds. Utilizing this population structure, 744 individuals from 33 breeds, and a 54,000 SNP genotyping array, breed-specific targets of selection were identified using an F(ST)-based statistic calculated in 500-kb windows across the genome. A 5.5-Mb region of ECA18, in which the myostatin (MSTN) gene was centered, contained the highest signature of selection in both the Paint and Quarter Horse. Gene sequencing and histological analysis of gluteal muscle biopsies showed a promoter variant and intronic SNP of MSTN were each significantly associated with higher Type 2B and lower Type 1 muscle fiber proportions in the Quarter Horse, demonstrating a functional consequence of selection at this locus. Signatures of selection on ECA23 in all gaited breeds in the sample led to the identification of a shared, 186-kb haplotype including two doublesex related mab transcription factor genes (DMRT2 and 3). The recent identification of a DMRT3 mutation within this haplotype, which appears necessary for the ability to perform alternative gaits, provides further evidence for selection at this locus. Finally, putative loci for the determination of size were identified in the draft breeds and the Miniature horse on ECA11, as well as when signatures of selection surrounding candidate genes at other loci were examined. This work provides further evidence of the importance of MSTN in racing breeds, provides strong evidence for selection upon gait and size, and illustrates the potential for population-based techniques to find genomic regions driving important phenotypes in the modern horse.PLoS Genetics 01/2013; 9(1):e1003211. · 8.69 Impact Factor -
Article: Genome-wide analysis reveals selection for important traits in domestic horse breeds
PLoS Genetics 01/2013; 9(1):e1003211. · 8.69 Impact Factor -
Dataset: Effect of Age and Performance on Physical, Hematological, and Biochemical Parameters in Endurance Horses
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ABSTRACT: a b s t r a c t Endurance horses are subjected to heightened stress even after several conditioning protocols. Hence, the goal of this study was to examine the effect of age and performance on the hematology, biochemistry, and physical parameters after an endurance race. Eighteen horses aged 6-15 years were grouped into 80-km race category. All the horses were physically examined, and blood samples were collected postrace. After physical examination, the poor (n ¼ 9) and good (n ¼ 9) performance horses were identified. Potassium concentration was significantly higher (P < .05) in the good performance horses; chloride concentration was significantly higher (P < .05) in the poor performance horses. The mean blood glucose concentration of the poor performance horses in all the age-groups was significantly higher (P < .05). The mean blood lactate concentration was significantly lower (P < .05) in the poor performance horses. There was significant effect of performance on heart rate (P < .031), capillary refill time (P < .013), and gut motility (P < .05). Univariate Fisher exact test results were significantly higher for skin recoil (P < .03), mucous membrane (P < .03), and gait (P < .04) in the performance categories. In conclusion, the influence of age was seen in the poor performance category in relation to lactate, but age did not influence other physical, hematological, and biochemical parameters of the endurance horses. Thus, further studies are required to determine whether physical, hematological, and biochemical parameters during training could be used to estimate performance in endurance horses based on age.
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Keywords
% fat
4-8 years
age-related changes
B-mode ultrasound
body composition
body weight
cent body fat
densometric system
differences
fat mass
gluteus medius muscle
muscle myosin heavy chain
Needle muscle biopsies
Rump fat thickness
skeletal muscle
sodium dodecyl sulphate-polyacrylamide gel electrophoresis
young group
young mares