Dataset Information

The use of the SLC16A1 gene as a potential marker to predict race performance in Arabian horses.

ABSTRACT: BACKGROUND:Arabian horses are commonly believed to be one of the oldest and the most popular horse breeds in the world, characterized by favourable stamina traits and exercise phenotypes. During intensive training, the rates of lactate production and utilization are critical to avoid muscle fatigue and a decrease in exercise performance. The key factor determining transmembrane lactate transport is the monocarboxylate transporter 1 protein coded for by the SLC16A1 gene. The aim of the present research was to identify polymorphisms in the coding sequence and UTRs in the equine SLC16A1 gene and to evaluate their potential association with race performance traits in Arabian horses. Based on RNA-seq data, SNPs were identified and genotyped using PCR-RFLP or PCR-HRM methods in 254 Arabian horses that competed in flat races. An association analysis between polymorphisms and racing results was performed. RESULTS:Novel polymorphisms in the equine SLC16A1 locus have been identified (missense and 5'UTR variants: g.55601543C?>?T and g.55589063?T?>?G). Analysis showed a significant association between the 5'UTR polymorphism and several racing results as follows: the possibility of winning first or second place, the number of races in which horses started and total financial benefits. The analysis also showed differences in genotype distribution depending on race distance. In the studied population, the shorter distance races were only won by TT horses. The GG and TG horses took first and second places in middle- and long-distance races, and the percentage of winning heterozygotes increased from 19.5 to 27% at the middle and long distances, respectively. The p.Val432Ile (g.55601543C?>?T) polymorphism was not significantly related to the analysed racing results. CONCLUSION:Our results showed that g.55589063?T?>?G polymorphism affected the possibility of winning first or second place and of competing in more races. The different distribution of genotypes depending on race distance indicated the possibility of using a SNP in the SLC16A1 gene as a marker to predict the best race distance for a horse. The presented results provide a basis for further research to validate the use of the SLC16A1 gene as a potential marker associated with racing performance.

SUBMITTER: Ropka-Molik K

PROVIDER: S-EPMC6740031 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The use of the SLC16A1 gene as a potential marker to predict race performance in Arabian horses.

Ropka-Molik Katarzyna K Stefaniuk-Szmukier Monika M Szmatoła Tomasz T Piórkowska Katarzyna K Bugno-Poniewierska Monika M

BMC genetics 20190911 1

<h4>Background</h4>Arabian horses are commonly believed to be one of the oldest and the most popular horse breeds in the world, characterized by favourable stamina traits and exercise phenotypes. During intensive training, the rates of lactate production and utilization are critical to avoid muscle fatigue and a decrease in exercise performance. The key factor determining transmembrane lactate transport is the monocarboxylate transporter 1 protein coded for by the SLC16A1 gene. The aim of the pr ...[more]

PMID: 31510920

Similar Datasets

Project description:Purpose: Next-generation sequencing (NGS) was used to select genes potentially associated with exercise adaptation in Arabian horses. Methods: Whole transcriptome profiling of blood was performed for untrained horses and horses from which samples were collected during at 3 different periods of training procedure (T1-during intense training period - March, T2- before starts - May and T3 -after flat racing season - October). The muscle transcriptome sequencing was performed for 37 blood samples using Illumina HiScan SQ in 75 single-end cycles. The quantifying transcript abundances was made using the RSEM supported by STAR aligner. The raw reads were aligned to the Equus caballus reference genome. Differentially expressed genes in blood tissue were detected by DESeq2. The RNA-seq results were validated using by qPCR. Results: The increase of the number of DEGs between subsequent training periods has been observed and the highest amount of DEGs was detected between untrained horses (T0) and horses at the end of the racing season (T3) â 440. The comparison of transcriptome of T2 vs T3 and T0 vs T3 showed a significant advantage of up-regulated genes during long-term exercise (up-regulation of 266 and 389 DEGs in T3 period compared T2 and T0; respectively). Our results showed that the largest number of identified genes encoded transcription factors, nucleic acid binding proteins and G-protein modulators, which mainly were transcriptional activated at the last training phase (T3) . Moreover, in the T3 period the identified DEGs represented genes coded for cytoskeletal proteins including actin cytoskeletal proteins and kinases. The most abundant exercise-upregulated genes were involved in pathways important in regulating the cell cycle (PI3K-Akt signaling pathway), cell communication (cAMP-dependent pathway), proliferation, differentiation and apoptosis as well as immunity processes (Jak-STAT signaling pathway). We also observed exercise induced expression of genes related in regulation of actin cytoskeleton, gluconeogenesis (FoxO signaling pathway; Insulin signaling pathway), glycerophospholipid metabolism and calcium signaling. Conclusions: TOur results allow to identify changes in genes expression profile following training schedule in Arabian horses. Based on comparison analysis of blood transcriptomes, several exercise-regulated pathways and genes most affected by exercise were detected. We pinpointed overrepresented molecular pathways and genes essential for exercise adaptive response via maintaining of body homeostasis. The observed transcriptional activation of such gene as LPGAT1, AGPAT5, PIK3CG, GPD2, FOXN2, FOXO3, ACVR1B and ACVR2A can be a base for further research in order to identify genes potentially associated with race performance in Arabian horses. Such markers will be essential to choice the training type, and could result in differences in racing performance specific to various breeds. The blood transcriptome sequencing was performed for 37 samples collected form Arabian horses using Illumina HiScan SQ in75 single-end cycles and in 3-4 technical repetitions.repetitions.

Project description:Purpose: Next-generation sequencing (NGS) was used to select genes potentially associated with exercise adaptation in Arabian horses. Methods: Whole transcriptome profiling of blood was performed for untrained horses and horses from which samples were collected during at 3 different periods of training procedure (T1-during intense training period - March, T2- before starts - May and T3 -after flat racing season - October). The muscle transcriptome sequencing was performed for 37 blood samples using Illumina HiScan SQ in 75 single-end cycles. The quantifying transcript abundances was made using the RSEM supported by STAR aligner. The raw reads were aligned to the Equus caballus reference genome. Differentially expressed genes in blood tissue were detected by DESeq2. The RNA-seq results were validated using by qPCR. Results: The increase of the number of DEGs between subsequent training periods has been observed and the highest amount of DEGs was detected between untrained horses (T0) and horses at the end of the racing season (T3) – 440. The comparison of transcriptome of T2 vs T3 and T0 vs T3 showed a significant advantage of up-regulated genes during long-term exercise (up-regulation of 266 and 389 DEGs in T3 period compared T2 and T0; respectively). Our results showed that the largest number of identified genes encoded transcription factors, nucleic acid binding proteins and G-protein modulators, which mainly were transcriptional activated at the last training phase (T3) . Moreover, in the T3 period the identified DEGs represented genes coded for cytoskeletal proteins including actin cytoskeletal proteins and kinases. The most abundant exercise-upregulated genes were involved in pathways important in regulating the cell cycle (PI3K-Akt signaling pathway), cell communication (cAMP-dependent pathway), proliferation, differentiation and apoptosis as well as immunity processes (Jak-STAT signaling pathway). We also observed exercise induced expression of genes related in regulation of actin cytoskeleton, gluconeogenesis (FoxO signaling pathway; Insulin signaling pathway), glycerophospholipid metabolism and calcium signaling. Conclusions: TOur results allow to identify changes in genes expression profile following training schedule in Arabian horses. Based on comparison analysis of blood transcriptomes, several exercise-regulated pathways and genes most affected by exercise were detected. We pinpointed overrepresented molecular pathways and genes essential for exercise adaptive response via maintaining of body homeostasis. The observed transcriptional activation of such gene as LPGAT1, AGPAT5, PIK3CG, GPD2, FOXN2, FOXO3, ACVR1B and ACVR2A can be a base for further research in order to identify genes potentially associated with race performance in Arabian horses. Such markers will be essential to choice the training type, and could result in differences in racing performance specific to various breeds.

Project description:Purpose: RNA-seq method was used to select genes expressed in muscle tissue and are potentially associated with exercise adaptation in Arabian horses. Methods: Whole transcriptomes between three time points of muscle tissue collection were compared: T0 (untrained horses), T1 (horses after intense gallop phase) and T2 (at the end of the racing season), in total 23 samples. The biopsy of gluteus medius muscle was performed by using minimally invasive ProMag™ Ultra Automatic Biopsy Instrument with a 2 mm diameter biopsy needle. The total RNA was isolated using by TriReagent and 300ng was used to cDNA libraries preparation. The NGS sequencing was performed on HiScan SQ (Illumina). The quantifying transcript abundances was made using the RSEM supported by STAR aligner. The raw reads were aligned to the Equus caballus reference genome. Differentially expressed genes were detected by DESeq2. The RNA-seq results were validated using by qPCR. Results: To detected differentially expressed genes during training preparing to the flat racing, whole transcriptomes between three time points of muscle tissue collection were compared: T0 (untrained horses), T1 (horses after intense gallop phase) and T2 (at the end of the racing season). We identified 1168 DEGs between T0 vs T1; 1593 between T1 vs T2 and 763 between T2 vs T0. The analysis for all DEGs allow to detect 11 pathways which ale significant over represented between at last two training periods. The numerous group of exercise-regulated DEGs was related with muscle cell structure and signaling (‘focal adhesion’, ‘adherens juntion’ and ‘PI3-ATK signaling’) and included insulin-like growth factor 1 receptor (IGF1R); insulin receptor (INSR); transforming growth factor beta receptors 1 and 2 (TGFBR1; TGFBR2); vascular endothelial growth factor B (VEGFB); epidermal growth factor (EGF); hepatocyte growth factor (HGF) and vascular endothelial growth factor D (FIGF). Our results showed that in Arabian horses exercise modified the expression of genes belonging to the ‘PPAR signaling pathway’ (e.g. PPARA; PPARD; PLIN2); ‘calcium signaling pathway’ (e.g. PLN; PLCD1; TNNC1; TNNC2) as well as pathways associated with metabolism processes - ‘oxidative phosphorylation’; ‘fatty acid metabolism’; ‘glycolysis/gluconeogenesis’ and ‘citrate cycle’. Conclusions: Our research allowed to identify the group of exercise-regulated genes which was related with muscle cell structure as well as signaling and pinpointed the significant metabolic processes critical for adaptive response during training. We confirmed that in Arabians, the exercise switch energy generation towards fatty acid utilization, enhance glycogen transport and calcium signaling. The sequencing of skeletal muscle transcriptome allowed to propose the panel of new candidate genes (such as SLC16A1; ME3; ACTN3; PPARα; SH3RF2; TPM3; TNNC1; TNNI3; TGFBR1; TGFBR2; FABP3) potentially related with body homeostasis maintenance and race performance in Arabian horse.

Project description:BACKGROUND:Apoptosis plays an important role in the regulation of healthy tissue growth and development as well as in controlling the maintenance of homeostasis in exercising muscles. During an intensive physical effort, the regulation of cell death by apoptosis results in the replacement of unaccustomed muscle cells by new cells that are better suited to exercise. The aim of this study was to determine the expression of two genes (SH3FR1 and SH3RF2) that control apoptosis in muscle tissues during training periods characterized by different intensities. The gene expression levels were estimated using real-time PCR method in skeletal muscle biopsies collected from 15 Arabian horses (untrained, after an intense gallop phase, and at the end of the racing season). An association study was performed on 250 Arabian horses to assess the effect of the SH3RF2:c.796 T?>?C (p.Ser266Pro) variant on race performance traits in flat gallop-racing. RESULTS:A gene expression analysis confirmed a significant decrease (p?<?0.01) in the anti-apoptotic SH3RF2 (POSHER) gene during training periods that differed in intensity. The highest SH3RF2 expression level was detected in the muscles of untrained horses, whereas the lowest expression was identified at the end of the racing season in horses that were fully adapted to the exercise. A non-significant decrease in SH3RF1 gene expression following the training periods was observed. Moreover, a serine substitution by proline at amino acid position 266 (CC genotype) was negatively associated with the probability of winning races, the number of races in which a horse occurred and the financial value of the prizes. Horses with the TT genotype achieved the highest financial benefits, both for total winnings and for winnings per race in which the horses participated. CONCLUSIONS:The present study showed the supposed regulation mechanism of exercise-induced apoptosis in horses at the molecular level. The identified SH3RF2: c.796 T?>?C missense variant was associated with selected racing performance traits, which is important information during the evaluation of horses' exercise predisposition. The association results and frequencies of the CT and TT genotypes suggest the possibility of using SH3RF2 variant in selection to improve the racing performance of Arabian horses.

Dataset Information

The use of the SLC16A1 gene as a potential marker to predict race performance in Arabian horses.

Publications

The use of the SLC16A1 gene as a potential marker to predict race performance in Arabian horses.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets