Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Beatrice A. McGivney is active.

Publication


Featured researches published by Beatrice A. McGivney.


PLOS ONE | 2010

A Sequence Polymorphism in MSTN Predicts Sprinting Ability and Racing Stamina in Thoroughbred Horses

Emmeline W. Hill; Jingjing Gu; Suzanne S. Eivers; Rita G. Fonseca; Beatrice A. McGivney; Preethi Govindarajan; Nick Orr; Lisa M. Katz; David E. MacHugh

Variants of the MSTN gene encoding myostatin are associated with muscle hypertrophy phenotypes in a range of mammalian species, most notably cattle, dogs, mice, and humans. Using a sample of registered Thoroughbred horses (n = 148), we have identified a novel MSTN sequence polymorphism that is strongly associated (g.66493737C>T, P = 4.85×10−8) with best race distance among elite racehorses (n = 79). This observation was independently validated (P = 1.91×10−6) in a resampled group of Thoroughbreds (n = 62) and in a cohort of Thoroughbreds (n = 37, P = 0.0047) produced by the same trainer. We observed that C/C horses are suited to fast, short-distance races; C/T horses compete favorably in middle-distance races; and T/T horses have greater stamina. Evaluation of retrospective racecourse performance (n = 142) and stallion progeny performance predict that C/C and C/T horses are more likely to be successful two-year-old racehorses than T/T animals. Here we describe for the first time the identification of a gene variant in Thoroughbred racehorses that is predictive of genetic potential for an athletic phenotype.


PLOS Genetics | 2013

Genome-Wide Analysis Reveals Selection for Important Traits in Domestic Horse Breeds

Jessica L. Petersen; James R. Mickelson; Aaron Rendahl; Stephanie J. Valberg; L. Andersson; Jeanette Axelsson; E. Bailey; Danika L. Bannasch; M. M. Binns; Alexandre Secorun Borges; P. A. J. Brama; Artur da Câmara Machado; Stefano Capomaccio; Katia Cappelli; E. Gus Cothran; Ottmar Distl; Laura Y. Fox-Clipsham; Kathryn T. Graves; Gérard Guérin; Bianca Haase; Telhisa Hasegawa; Karin Hemmann; Emmeline W. Hill; Tosso Leeb; Gabriella Lindgren; Hannes Lohi; M. S. Lopes; Beatrice A. McGivney; Sofia Mikko; Nick Orr

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 FST-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 ONE | 2013

Genetic Diversity in the Modern Horse Illustrated from Genome-Wide SNP Data

Jessica L. Petersen; James R. Mickelson; E. Gus Cothran; L. Andersson; Jeanette Axelsson; E. Bailey; Danika L. Bannasch; M. M. Binns; Alexandre Secorun Borges; P. A. J. Brama; Artur da Câmara Machado; Ottmar Distl; Michela Felicetti; Laura Y. Fox-Clipsham; Kathryn T. Graves; Gérard Guérin; Bianca Haase; Telhisa Hasegawa; Karin Hemmann; Emmeline W. Hill; Tosso Leeb; Gabriella Lindgren; Hannes Lohi; M. S. Lopes; Beatrice A. McGivney; Sofia Mikko; Nick Orr; M. Cecilia T. Penedo; Richard J. Piercy; Marja Raekallio

Horses were domesticated from the Eurasian steppes 5,000–6,000 years ago. Since then, the use of horses for transportation, warfare, and agriculture, as well as selection for desired traits and fitness, has resulted in diverse populations distributed across the world, many of which have become or are in the process of becoming formally organized into closed, breeding populations (breeds). This report describes the use of a genome-wide set of autosomal SNPs and 814 horses from 36 breeds to provide the first detailed description of equine breed diversity. FST calculations, parsimony, and distance analysis demonstrated relationships among the breeds that largely reflect geographic origins and known breed histories. Low levels of population divergence were observed between breeds that are relatively early on in the process of breed development, and between those with high levels of within-breed diversity, whether due to large population size, ongoing outcrossing, or large within-breed phenotypic diversity. Populations with low within-breed diversity included those which have experienced population bottlenecks, have been under intense selective pressure, or are closed populations with long breed histories. These results provide new insights into the relationships among and the diversity within breeds of horses. In addition these results will facilitate future genome-wide association studies and investigations into genomic targets of selection.


BMC Genomics | 2010

Characterization of the equine skeletal muscle transcriptome identifies novel functional responses to exercise training

Beatrice A. McGivney; Paul A. McGettigan; John A. Browne; A.C.O. Evans; Rita G. Fonseca; Brendan J. Loftus; Amanda J. Lohan; David E. MacHugh; Barbara A. Murphy; Lisa M. Katz; Emmeline W. Hill

BackgroundDigital gene expression profiling was used to characterize the assembly of genes expressed in equine skeletal muscle and to identify the subset of genes that were differentially expressed following a ten-month period of exercise training. The study cohort comprised seven Thoroughbred racehorses from a single training yard. Skeletal muscle biopsies were collected at rest from the gluteus medius at two time points: T1 - untrained, (9 ± 0.5 months old) and T2 - trained (20 ± 0.7 months old).ResultsThe most abundant mRNA transcripts in the muscle transcriptome were those involved in muscle contraction, aerobic respiration and mitochondrial function. A previously unreported over-representation of genes related to RNA processing, the stress response and proteolysis was observed. Following training 92 tags were differentially expressed of which 74 were annotated. Sixteen genes showed increased expression, including the mitochondrial genes ACADVL, MRPS21 and SLC25A29 encoded by the nuclear genome. Among the 58 genes with decreased expression, MSTN, a negative regulator of muscle growth, had the greatest decrease.Functional analysis of all expressed genes using FatiScan revealed an asymmetric distribution of 482 Gene Ontology (GO) groups and 18 KEGG pathways. Functional groups displaying highly significant (P < 0.0001) increased expression included mitochondrion, oxidative phosphorylation and fatty acid metabolism while functional groups with decreased expression were mainly associated with structural genes and included the sarcoplasm, laminin complex and cytoskeleton.ConclusionExercise training in Thoroughbred racehorses results in coordinate changes in the gene expression of functional groups of genes related to metabolism, oxidative phosphorylation and muscle structure.


Animal Genetics | 2010

Targets of selection in the Thoroughbred genome contain exercise-relevant gene SNPs associated with elite racecourse performance.

Emmeline W. Hill; Jingjing Gu; Beatrice A. McGivney; David E. MacHugh

Athletic performance is influenced by a complex interplay among the environment and a suite of genes, which contributes to system-wide structure and function. In a panel of elite and non-elite Thoroughbred horses (n=148), we genotyped 68 SNPs in 17 putative exercise-relevant genes chosen from a genome scan for selection. We performed a series of case-control and quantitative association tests for relationships with racecourse performance. Thirteen SNPs in nine genes were significantly (P<0.05) associated with a performance phenotype. We selected five SNPs in four genes (ACSS1, ACN9, COX4I1, PDK4) for validation in an independent sample set of elite and non-elite Thoroughbreds (n=130). Two SNPs in the PDK4 gene were validated (P<0.01) for associations with elite racing performance. When all samples were considered together (n=278), the PDK4_ 38973231 SNP was strongly associated (P<0.0005) with elite racing performance. Individuals with the A:A and A:G genotypes had a 16.2-16.6 lb advantage over G:G individuals in terms of handicap rating. Re-sequencing of the PDK4 gene and further genotyping will be required to identify the causative variant that is likely influencing exercise-induced variation in expression of the gene. Notwithstanding, this information may be employed as a marker for the selection of racehorses with the genetic potential for superior racing ability.


Equine Veterinary Journal | 2010

Association of sequence variants in CKM (creatine kinase, muscle) and COX4I2 (cytochrome c oxidase, subunit 4, isoform 2) genes with racing performance in Thoroughbred horses

Jingjing Gu; David E. MacHugh; Beatrice A. McGivney; Stephen D. E. Park; Lisa M. Katz; Emmeline W. Hill

REASONS FOR PERFORMING STUDY The wild progenitors of the domestic horse were subject to natural selection for speed and stamina for millennia. Uniquely, this process has been augmented in Thoroughbreds, which have undergone at least 3 centuries of intense artificial selection for athletic phenotypes. While the phenotypic adaptations to exercise are well described, only a small number of the underlying genetic variants contributing to these phenotypes have been reported. OBJECTIVES A panel of candidate performance-related genes was examined for DNA sequence variation in Thoroughbreds and the association with racecourse performance investigated. MATERIALS AND METHODS Eighteen candidate genes were chosen for their putative roles in exercise. Re-sequencing in Thoroughbred samples was successful for primer sets in 13 of these genes. SNPs identified in this study and from the EquCab2.0 SNP database were genotyped in 2 sets of Thoroughbred samples (n = 150 and 148) and a series of population-based case-control investigations were performed by separating the samples into discrete cohorts on the basis of retrospective racecourse performance. RESULTS Twenty novel SNPs were detected in 3 genes: ACTN3, CKM and COX4I2. Genotype frequency distributions for 3 SNPs in CKM and COX4I2 were significantly (P < 0.05) different between elite Thoroughbreds and racehorses that had never won a race. These associations were not validated when an additional (n = 130) independent set of samples was genotyped, but when analyses included all samples (n = 278) the significance of association at COX4I2 g.22684390C > T was confirmed (P < 0.02). CONCLUSIONS While molecular genetic information has the potential to become a powerful tool to make improved decisions in horse industries, it is vital that rigour is applied to studies generating these data and that adequate and appropriate sample sets, particularly for independent replication, are used.


BMC Genomics | 2009

Transcriptional adaptations following exercise in Thoroughbred horse skeletal muscle highlights molecular mechanisms that lead to muscle hypertrophy.

Beatrice A. McGivney; Suzanne S. Eivers; David E. MacHugh; James N. MacLeod; Grace M. O'Gorman; Stephen D. E. Park; Lisa M. Katz; Emmeline W. Hill

BackgroundSelection for exercise-adapted phenotypes in the Thoroughbred racehorse has provided a valuable model system to understand molecular responses to exercise in skeletal muscle. Exercise stimulates immediate early molecular responses as well as delayed responses during recovery, resulting in a return to homeostasis and enabling long term adaptation. Global mRNA expression during the immediate-response period has not previously been reported in skeletal muscle following exercise in any species. Also, global gene expression changes in equine skeletal muscle following exercise have not been reported. Therefore, to identify novel genes and key regulatory pathways responsible for exercise adaptation we have used equine-specific cDNA microarrays to examine global mRNA expression in skeletal muscle from a cohort of Thoroughbred horses (n = 8) at three time points (before exercise, immediately post-exercise, and four hours post-exercise) following a single bout of treadmill exercise.ResultsSkeletal muscle biopsies were taken from the gluteus medius before (T0), immediately after (T1) and four hours after (T2) exercise. Statistically significant differences in mRNA abundance between time points (T0vs T1 and T0vs T2) were determined using the empirical Bayes moderated t-test in the Bioconductor package Linear Models for Microarray Data (LIMMA) and the expression of a select panel of genes was validated using real time quantitative reverse transcription PCR (qRT-PCR). While only two genes had increased expression at T1 (P < 0.05), by T2 932 genes had increased (P < 0.05) and 562 genes had decreased expression (P < 0.05). Functional analysis of genes differentially expressed during the recovery phase (T2) revealed an over-representation of genes localized to the actin cytoskeleton and with functions in the MAPK signalling, focal adhesion, insulin signalling, mTOR signaling, p53 signaling and Type II diabetes mellitus pathways. At T1, using a less stringent statistical approach, we observed an over-representation of genes involved in the stress response, metabolism and intracellular signaling. These findings suggest that protein synthesis, mechanosensation and muscle remodeling contribute to skeletal muscle adaptation towards improved integrity and hypertrophy.ConclusionsThis is the first study to characterize global mRNA expression profiles in equine skeletal muscle using an equine-specific microarray platform. Here we reveal novel genes and mechanisms that are temporally expressed following exercise providing new knowledge about the early and late molecular responses to exercise in the equine skeletal muscle transcriptome.


Physiological Genomics | 2010

Alterations in oxidative gene expression in equine skeletal muscle following exercise and training

Suzanne S. Eivers; Beatrice A. McGivney; Rita G. Fonseca; David E. MacHugh; Katie Menson; Stephen D. E. Park; José-Luis L. Rivero; Cormac T. Taylor; Lisa M. Katz; Emmeline W. Hill

Intense selection for elite racing performance in the Thoroughbred horse (Equus caballus) has resulted in a number of adaptive physiological phenotypes relevant to exercise; however, the underlying molecular mechanisms responsible for these characteristics are not well understood. Adaptive changes in mRNA expression in equine skeletal muscle were investigated by real-time qRT-PCR for a panel of candidate exercise-response genes following a standardized incremental-step treadmill exercise test in eight untrained Thoroughbred horses. Biopsy samples were obtained from the gluteus medius before, immediately after, and 4 h after exercise. Significant (P < 0.05) differences in gene expression were detected for six genes (CKM, COX4I1, COX4I2, PDK4, PPARGC1A, and SLC2A4) 4 h after exercise. Investigation of relationships between mRNA and velocity at maximum heart rate (VHR(max)) and peak postexercise plasma lactate concentration ([La]T(1)) revealed significant (P < 0.05) associations with postexercise COX4I1 and PPARCG1A expression and between [La]T(1) and basal COX4I1 expression. Gene expression changes were investigated in a second cohort of horses after a 10 mo period of training. In resting samples, COX4I1 gene expression had significantly increased following training, and, after exercise, significant differences were identified for COX4I2, PDK4, and PPARGC1A. Significant relationships with VHR(max) and [La]T(1) were detected for PPARGC1A and COX4I1. These data highlight the roles of genes responsible for the regulation of oxygen-dependent metabolism, glucose metabolism, and fatty acid utilization in equine skeletal muscle adaptation to exercise.


Nature Communications | 2012

The genetic origin and history of speed in the Thoroughbred racehorse

Mim A. Bower; Beatrice A. McGivney; Michael G. Campana; Jingjing Gu; L. Andersson; Elizabeth S. Barrett; Catherine R. Davis; Sofia Mikko; Frauke Stock; Valery Voronkova; Daniel G. Bradley; A. G. Fahey; Gabriella Lindgren; David E. MacHugh; G. E. Sulimova; Emmeline W. Hill

Selective breeding for speed in the racehorse has resulted in an unusually high frequency of the C-variant (g.66493737C/T) at the myostatin gene (MSTN) in cohorts of the Thoroughbred horse population that are best suited to sprint racing. Here we show using a combination of molecular- and pedigree-based approaches in 593 horses from 22 Eurasian and North-American horse populations, museum specimens from 12 historically important Thoroughbred stallions (b.1764-1930), 330 elite-performing modern Thoroughbreds and 42 samples from three other equid species that the T-allele was ancestral and there was a single introduction of the C-allele at the foundation stages of the Thoroughbred from a British-native mare. Furthermore, we show that although the C-allele was rare among the celebrated racehorses of the 18th and 19th centuries, it has proliferated recently in the population via the stallion Nearctic (b.1954), the sire of the most influential stallion of modern time, Northern Dancer (b.1961).


Animal Genetics | 2012

MSTN genotypes in Thoroughbred horses influence skeletal muscle gene expression and racetrack performance

Beatrice A. McGivney; John A. Browne; Rita G. Fonseca; Lisa M. Katz; David E. MacHugh; Ronan Whiston; Emmeline W. Hill

Myostatin, encoded by the MSTN gene, is a member of the TGF-β superfamily that regulates skeletal muscle development. A MSTN SNP significantly associated with Thoroughbred horse racing phenotypes has recently been identified as well as significant reductions in Thoroughbred skeletal muscle gene expression for three transcripts 400-1500 base pairs downstream of the MSTN gene following a period of training. Together, these findings indicate that MSTN genotypes may influence MSTN gene expression. To investigate this, MSTN mRNA expression was measured in biopsies from the middle gluteal muscle from 60 untrained yearling Thoroughbreds (C/C, n = 15; C/T, n = 28; T/T, n = 17) using two independent real-time qRT-PCR assays. MSTN gene expression was also evaluated in a subset (N = 33) of these animals using samples collected after a ten-month period of training. A significant association was observed between genotype and mRNA abundance for the untrained horses (assay I, P = 0.0237; assay II, P = 0.003559), with the C/C cohort having the highest MSTN mRNA levels, the T/T group the lowest levels and the C/T group intermediate levels. Following training, there was a significant decrease in MSTN mRNA (-3.35-fold; P = 6.9 × 10(-7) ), which was most apparent for the C/C cohort (-5.88-fold, P = 0.001). These data demonstrate the tight relationship between phenotype, genotype and gene expression at the MSTN gene in Thoroughbred racehorses.

Collaboration


Dive into the Beatrice A. McGivney's collaboration.

Top Co-Authors

Avatar

Emmeline W. Hill

National University of Ireland

View shared research outputs
Top Co-Authors

Avatar

Lisa M. Katz

University College Dublin

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Jingjing Gu

University College Dublin

View shared research outputs
Top Co-Authors

Avatar

Rita G. Fonseca

University College Dublin

View shared research outputs
Top Co-Authors

Avatar

K. F. Gough

University College Dublin

View shared research outputs
Top Co-Authors

Avatar

John A. Browne

University College Dublin

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

C Herdan

University College Dublin

View shared research outputs
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge