Abstract
Variation in the myostatin (MSTN) gene has been reported to be associated with race distance, body composition and skeletal muscle fibre composition in the horse. The aim of the present study was to test the hypothesis that MSTN variation influences mitochondrial phenotypes in equine skeletal muscle. Mitochondrial abundance and skeletal muscle fibre types were measured in whole muscle biopsies from the gluteus medius of n = 82 untrained (21 ± 3 months) Thoroughbred horses. Skeletal muscle fibre type proportions were significantly (p < 0.01) different among the three MSTN genotypes and mitochondrial content was significantly (p < 0.01) lower in the combined presence of the C-allele of SNP g.66493737C>T (C) and the SINE insertion 227 bp polymorphism (I). Evaluation of mitochondrial complex activities indicated higher combined mitochondrial complex I+III and II+III activities in the presence of the C-allele / I allele (p ≤ 0.05). The restoration of complex I+III and complex II+III activities following addition of exogenous coenzyme Q1 (ubiquinone1) (CoQ1) in vitro in the TT/NN (homozygous T allele/homozygous no insertion) cohort indicated decreased coenzyme Q in these animals. In addition, decreased gene expression in two coenzyme Q (CoQ) biosynthesis pathway genes (COQ4, p ≤ 0.05; ADCK3, p ≤ 0.01) in the TT/NN horses was observed. This study has identified several mitochondrial phenotypes associated with MSTN genotype in untrained Thoroughbred horses and in addition, our findings suggest that nutritional supplementation with CoQ may aid to restore coenzyme Q activity in TT/NN horses.
Introduction
Myostatin knockout mice have a marked increase in muscle mass due to hypertrophy and hyperplasia [1]. Muscle fibre diameter and fibre number are significantly increased in Mstn-null mice compared to wildtype littermates. Depending on the method of myostatin inhibition, differing effects are observed; complete knockout induces hypertrophy and hyperplasia whereas partial inhibition results in hypertrophy alone [2]. Myostatin inhibition-induced muscle hypertrophy has been reported to affect slow and fast-twitch muscle fibres equally [3, 4]. However, Girgenrath et al. [5] reported a higher proportion of fast-twitch fibres in soleus and extensor digitorum longus muscles of Mstn-null mice than wildtype littermates suggesting that myostatin inhibition may alter skeletal muscle fibre composition.
In addition to increased skeletal muscle mass, Mstn-null mice have a lower mitochondrial number and, consequently, an alteration in the activity and enzymatic capacity of the skeletal muscle [6, 7]. Decreased mitochondrial number and/or mitochondrial activity may impact on skeletal muscle function by impairing mitochondrial metabolism and thereby reducing the contractile ability of the muscle. Mitochondria are the major energy transducers in the skeletal muscle and skeletal muscle is the site of most of the body’s oxygen consumption during exercise [8]; therefore, an impairment of mitochondrial function may alter the athletic phenotype.
The Thoroughbred is a horse breed best known for its use in racing. Their origin stems from a narrow founding gene pool, which can be traced back to a small number of Arab, Barb and Turk stallions and native British mares, approximately 300 years ago [9–11]. Intense selection for speed and stamina has led the Thoroughbred to have a very high aerobic capacity relative to skeletal muscle mass [12–15] and as a consequence their agility and speed surpass many other domestic breeds. Although the complete knockout of myostatin in horses has not been investigated, natural genetic variation within the MSTN gene has been identified. Variation at SNP g.66493737C>T (hereafter ‘SNP’) in the first intron and a 227 bp SINE insertion polymorphism in the promotor region (Chr18:g.66495326_66495327ins227; hereafter ‘SINE insertion’) has been shown to be associated with optimum race distance in Thoroughbred horses in a number of studies [16–20]. Additionally, the SNP has been observed to have an effect on the body composition of Thoroughbred horses after a period of training, with CC genotype horses having a significantly greater body mass than CT or TT horses [21]. Furthermore, a significant association between the SINE insertion and muscle fibre composition in Thoroughbred and Quarter Horses has been detected [22, 23]. In the Thoroughbred, the presence of the SINE insertion (I allele) was associated with a 6% increase in type IIX fibres and a corresponding 6% decrease in type I fibres, in comparison to no SINE insertion (N allele).
Equine skeletal muscle is a heterogeneous tissue made up of different fibre types denoted type I, type IIA and type IIX [24]. Type I fibres are oxidative, slow-twitch fibres with high mitochondrial and capillary density. In contrast, type IIX fibres are glycolytic, fast-twitch fibres with low mitochondrial and capillary density. Type IIA fibres are fast-twitch, intermediate in their oxidative and glycolytic capacities and have a high mitochondrial density. In that regard, the association with muscle fibre proportion is consistent with the association with best race distance, as the CC genotype horses are best suited to short distance sprint racing requiring short bursts of speed that may be facilitated by fast-twitch muscle fibres and TT genotype horses are best suited to longer distance races, requiring more stamina, and thus a higher oxidative capacity which may be achieved by a higher proportion of type I and type IIA fibres.
The aim of this study was to test the hypothesis that MSTN genotype (g.66493737C>T SNP and SINE insertion 227 bp polymorphism) may influence mitochondrial abundance and energetics assessed by the activity of the electron transport chain complexes in Thoroughbred horse skeletal muscle.
Materials and methods
Reagents
All reagents and chemicals used were of analytical grade where available and were obtained from Sigma Aldrich Co. LLC., Vale Rd, Arklow, Co. Wicklow, Ireland, unless otherwise stated.
Animals, ethics and licencing
The study subjects were n = 82 Thoroughbred horses (n = 37 CC/II [15 male, 22 female], n = 34 CT/IN [15 male, 19 female], n = 11 TT/NN [1 male, 10 female]), subsets of which were used for various experimental analysis. Thoroughbred horses (21 ± 3 months) were in the early stages of training (‘untrained’). All horses were considered ‘untrained’ as they had not yet completed any high-intensity exercise (known as a ‘work day’) but had participated in varied amounts of submaximal training, consisting of walking, trotting and cantering (S2 Fig).
Horses were maintained in the same training yard under the supervision and management of a single trainer. All procedures and veterinarians performing the procedures were approved and licenced under the Department of Health/Irish Medicines Board/Health Products Regulatory Authority (HPRA), ethics approval was granted by UCD Animal Research Ethics Committee and owners consent was given.
Skeletal muscle biopsy sampling
Skeletal muscle biopsies were taken from the middle gluteal muscle of a standing unsedated horse by a qualified and experienced veterinarian as per the techniques described by Ledwith and McGowan [25]. Biopsy samples were stored on dry ice for transport to the laboratory and subsequently stored at -70°C.
MSTN genotyping
MSTN SNP g.66493737C>T genotyping
Horses were genotyped for the MSTN SNP g.66493737C>T by Equinome Ltd. (now part of Plusvital Ireland Ltd.) (http://www.equinome.com/) as per the method described by Hill et al. [26]. Briefly, genomic DNA was extracted from fresh whole blood using the Maxwell 16 automated DNA purification system (Promega, WI) and SNP g.66493737C>T genotyping was performed using Taqman chemistry. The Taqman assay mixture contained forward primer 5’-GAC ACA ACA GTT TCA AAA TAT TGT TCT CCT T-3’, reverse primer 5′-CCA GGA CTA TTT GAT AGC AGA GTC A-3’ and two allelic-specific fluorescent dye labeled probes: VIC-AAT GCA CCA AGT AAT TT and 6-FAM-ATG CAC CAA ATA ATT T.
MSTN SINE insertion 227 bp polymorphism genotyping
Two polymerase chain reaction (PCR)-based assays were used to genotype horses for the MSTN SINE insertion 227 bp polymorphism using GoTaq Hot start master mix (Promega) and associated reagents. Primers were used at a final concentration of 0.5 μM. The primer sequences were as follows: Primer set 1; 5’-ATC AGC TCA CCC TTG ACT GTA AC-3’ (forward), 5’-TCA TCT CTC TGG ACA TCG TAC TG-3’ (reverse) [18]; Primer set 2; 5’-ATC AGC TCA CCC TTG ACT GTA AC-3’ (forward), 5’-GTA TTC TTC GTT GTG GGT TCC TC-3’ (reverse). Both assays were run simultaneously using the same PCR conditions, as follows: initial denaturation at 95°C for 5 minutes, followed by 40 cycles of 95°C for 30 seconds, 58°C for 30 seconds and 72°C for 1 minute, followed by a final elongation at 72°C for 5 minutes. The resulting amplification products were electrophoresed on a 2% agarose gel in order to determine the genotype of the animals.
Measurement of enzyme activities
Spectrophotometric enzyme activity assays
All enzyme activity assays were performed at 30°C on a Biochrom Libra S12 spectrophotometer or a UV-2600 UV-Vis spectrophotometer (Shimadzu) and absorbance changes were measured using an attached chart recorder or accompanying UV probe software (Shimadzu), respectively. The activity of each enzyme was measured in at least duplicate on the same homogenate for each sample.
Preparation of skeletal muscle homogenates
Skeletal muscle homogenates were prepared from frozen tissue which was previously stored at -70°C. Any fat or connective tissue was removed from the sample and it was weighed using a fine balance (ME104, Mettler Toledo, 0.08 mg repeatability). The tissue was homogenised using an Ultra Turrax T25 (Janke & Kunkel IKA-Labortechnik) in sucrose muscle homogenisation buffer (20 mM tris-HCl, 40 mM KCl, 2 mM EGTA, 250 mM sucrose, pH 7.4). An aliquot of the sample was used to perform protein determination using the Bicinchoninic Acid (BCA) Assay as described by Smith et al. [27].
Citrate synthase activity assay
Citrate synthase enzyme activity was measured spectrophotometrically by a coloured coupled reaction, by a method adapted from that originally described by Srere [28]. The activity of citrate synthase was determined by monitoring the rate of production of thionitrobenzoic acid (TNB) at a wavelength of 412 nm. Skeletal muscle homogenate (approximately 5 μg) was incubated in a 1 ml cuvette with tris buffer (0.2 M, pH 8.1) and the following reaction components were added; 5,5'-dithiobis-(2-nitrobenzoic acid) (DTNB) (0.1 mM), acetyl coenzyme A (0.3 mM) and Triton X (0.1%). A blank rate was measured for 2 minutes before oxaloacetate (0.5 mM) was added to initiate the reaction and an increase in absorbance was monitored for 3 minutes.
NADH-ubiquinone oxidoreductase (Complex I) activity assay
The activity of NADH-ubiquinone oxidoreductase (Complex I) was determined by monitoring the oxidation of NADH at 340 nm, by a method adapted from that described by Ragan et al. [29]. Whole muscle homogenate samples were diluted in hypotonic buffer (25 mM potassium phosphate (pH 7.2), 5 mM MgCl2) and subjected to three freeze thaw cycles in liquid nitrogen immediately prior to being assayed. Homogenate samples (approximately 20 μg) were incubated in a 1 ml cuvette which contained an assay mixture consisting of potassium phosphate pH 7.5 (50 mM), fatty-acid free BSA (3 mg ml-1), KCN (0.3 mM) and NADH (0.1 mM). A blank rate was measured for 2 minutes before ubiquinone1 (CoQ1) (60 μM) was added to the cuvette to start the reaction and a decrease in absorbance was monitored for 3 minutes. Rotenone (10 μM) was then added and the rate was monitored for a further 2 minutes. Specific complex I activity was taken as the rotenone-sensitive activity determined by subtracting the rotenone-resistant activity from the total activity.
Succinate dehydrogenase (Complex II) activity assay
The activity of succinate dehydrogenase (Complex II) was determined by monitoring the reduction of 2,6-dichlorophenolindophenol (DCPIP) at 600 nm, using an assay based on the method of Hatefi [30]. Homogenate samples (approximately 20 μg) were incubated at 30°C in a 1 ml cuvette of assay buffer consisting of potassium phosphate pH 7.5 (25 mM), succinic acid (20 mM), fatty-acid free BSA (1 mg ml-1), KCN (0.3 mM) and 2,6-dichlorophenolindophenol (DCPIP) (0.002%) for 8 minutes. A blank rate was then measured for 2 minutes before decylubiquinone (50 μM) was added to the cuvette to start the reaction and a decrease in absorbance was monitored for 3 minutes. Malonate (10 mM) was subsequently added to inhibit the enzymatic reaction and the absorbance was monitored for an additional 3 minutes. Specific complex II activity was determined by subtracting the malonate insensitive activity from the total activity.
Decylubiquinol cytochrome c oxidoreductase (Complex III) activity assay
The activity of decylubiquinol cytochrome c oxidoreductase (Complex III) was determined by monitoring the reduction of cytochrome c at 550 nm, by a method adapted from that described by Ragan et al. [29]. Homogenate samples (approximately 20 μg) were incubated in a 1 ml cuvette of assay buffer consisting of the following reaction components: potassium phosphate pH 7.5 (25 mM), oxidised cytochrome c (75 μM), EDTA Solution, pH 7.5 (0.1 mM), KCN (0.3 mM) and Tween-20 (0.025%). A blank rate was measured for 2 minutes before decylubiquinol solution (0.1 mM) was then added to initiate the reaction and an increase in absorbance was monitored for 2 minutes. Decylubiquinol solution was freshly prepared prior to use. Antimycin A (10 μg ml-1) was subsequently added and monitored for a further 2 minutes. Specific complex III activity was taken as the antimycin A-sensitive activity determined by subtracting the antimycin A-resistant activity from the total activity.
Cytochrome c oxidase (Complex IV) activity assay
The activity of cytochrome c oxidase (Complex IV) was determined by monitoring the oxidation of reduced cytochrome c at 550 nm, using an assay based on the method described by Wharton and Tzagoloff [31]. Reduced cytochrome c (1 mM) was freshly prepared by dissolving oxidised cytochrome c in 20 mM potassium phosphate buffer (pH 7.0) and reducing the solution with sodium dithionite A 1 ml cuvette containing the assay mixture consisting of potassium phosphate pH 7.0 (50 mM) and reduced cytochrome c (60 μM) was placed in the spectrophotometer and a blank rate was measured for 2 minutes. Homogenate (approximately 10 μg) was then added to the cuvette to initiate the reaction and a decrease in absorbance was monitored for 2 minutes. The ‘apparent linear’ rate was measured over the same time-frame for each measurement. KCN (0.3 mM) was subsequently added to inhibit the enzymatic reaction and the absorbance was monitored for a further 2 minutes. Specific complex IV activity was determined by subtracting the KCN insensitive activity from the total activity.
NADH cytochrome c oxidoreductase (Complex I+III) activity assay
The activity of NADH cytochrome c oxidoreductase (Complex I+III) was determined by monitoring the reduction of cytochrome c at 550 nm, as per the method described by Powers et al. [32]. Homogenate samples (approximately 20 μg) were incubated in dH2O in a 1 ml cuvette in order to allow osmotic shock to occur. After two minutes incubation the reaction components were added: potassium phosphate pH 7.5 (50 mM), oxidised cytochrome c (50 μM), KCN (0.3 mM), and fatty-acid free BSA (1 mg ml-1) and a blank rate was measured for 2 minutes. NADH (0.2 mM) was then added to initiate the reaction and an increase in absorbance was monitored for 3 minutes. Rotenone (10 μM) was then added and the rate was monitored for a further 2 minutes. Complex I+III combined specific activity was taken as the rotenone-sensitive activity determined by subtracting the rotenone-resistant activity from the total activity. In a separate experiment repeated in the same manner, ubiquinone1 (coenzyme Q1) (CoQ1) at a final concentration of 100 μM was added after the initiation and monitoring of the reaction with NADH and prior to the addition of rotenone. The absorbance was monitored for 3 minutes before the addition of rotenone as previous.
Succinate cytochrome c reductase (Complex II+III) activity assay
The activity of succinate cytochrome c reductase (Complex II+III) was determined by monitoring the reduction of cytochrome c at 550 nm, using an assay based on the method of King [33]. Homogenate samples (approximately 20 μg) were incubated at 30°C in a 1 ml cuvette of assay buffer consisting of potassium phosphate pH 7.5 (20 mM), succinic acid (10 mM) and KCN (0.3 mM) for 8 minutes. A blank rate was then measured for 2 minutes before oxidised cytochrome c (50 μM) was added to the cuvette to initiate the reaction and an increase in absorbance was monitored for 3 minutes. Malonate (10 mM) was subsequently added to inhibit the enzymatic reaction and the absorbance was monitored for an additional 2 minutes. Complex II+III combined specific activity was determined by subtracting the malonate insensitive activity from the total activity. In a separate experiment repeated in the same manner, ubiquinone1 (CoQ1) at a final concentration of 100 μM was added after the initiation and monitoring of the reaction with oxidised cytochrome c and prior to the addition of malonate. The absorbance was monitored for 3 minutes before the addition of malonate as previous.
Specific enzyme activity and molar extinction coefficients
Specific enzyme activities were expressed as nanomoles per minute per milligram of muscle protein. The molar extinction coefficients used were 13,600 L mol-1 cm-1 for citrate synthase at 412 nm, 6,200 L mol-1 cm-1 for Complex I at 340 nm, 19,100 L mol-1 cm-1 for Complex II at 600 nm, 18,500 L mol-1 cm-1 for Complex III at 550 nm, 18,500 L mol-1 cm-1 for Complex IV at 550 nm, 18,500 L mol-1 cm-1 for Complex I+III at 550 nm and 18,500 L mol-1 cm-1 for Complex II+III at 550 nm. Mitochondrial complex activities were expressed as a ratio to citrate synthase activity, in order to account for the mitochondrial enrichment of the skeletal muscle homogenates.
Quantitative PCR–mitochondrial DNA:nuclear DNA ratio
The cytochrome c oxidase subunit 1 (CO1) gene of the mitochondrial DNA (mtDNA) and the NADH:ubiquinone oxidoreductase core subunit V1 (NDUFV1) gene of the nuclear DNA (nDNA) were used to measure the relative mtDNA:nDNA ratio. The primers were as follows; CO1:5-TCC TAG CAG CAG GCA TAA C-3 (forward), 5-GGG TGT CCG AAG AAT CAG AAT-3 (reverse), NDUFV1: 5-CTT CCC CAC TGG CCT CAA-3 (forward), 5-TCC AAG GAA AGA GCA AAG GC-3 (reverse). QPCR was performed using SYBR green qPCR mix (Life Technologies) on an Applied Biosystems 7500 Fast Real-Time PCR System. Equal amounts of DNA were used for each reaction and combined with forward primer (0.5 μM), reverse primer (0.5 μM), SYBR green master mix and nuclease free water in a 96 well reaction plate (Applied Biosystems). PCR conditions were the same for all primers sets: initial denaturation at 95°C for 10 minutes, followed by 40 cycles of 95°C for 10 seconds and 60°C for 30 seconds. All reactions were run in triplicate. SDS 1.9.1 software (Applied Biosystems) was used to analyse the amplification curves and these curves were used to determine the relative mtDNA:nDNA ratio in each sample. Careful attention was paid to avoid PCR contamination and no false-positives were observed in negative controls. Visualisation of qPCR amplification products on a 1.5% agarose gel was used to confirm the specificity of the reaction (i.e. free of non-specific bands).
Gene expression
Total RNA was isolated from skeletal muscle tissue samples using Qiazol reagent (Qiagen) and homogenisation using 1.5 mm stainless steel beads in a Tissue Lyser II machine (Qiagen) before being isolated and purified using RNeasy Plus Universal kit (Qiagen) as per the manufacturer’s instructions. Equal amounts of RNA were reverse transcribed into cDNA using the High-Capacity cDNA Reverse Transcription Kit (Applied Biosystems) as per manufacturer’s instructions. Reverse transcription was performed by heating the reaction mix at 25°C for 10 minutes followed by 37°C for 120 minutes and 85°C for 5 minutes. The resulting cDNA was then diluted with nuclease free water and used for real-time qPCR. Specific primers (S1 Table) were designed with the aid of Primer3Plus [34], spanning exon:exon junctions where possible. Primers for the myosin heavy chain isoform genes were designed for regions previously described in the corresponding ovine genes [35]. All primers were commercially synthesised (Eurofins Genomics). Sequence homology to other genomic regions was assessed using the National Center for Biotechnology Information BLAST function [36]. Hypoxanthine guanine phosphoribosyl transferase (HPRT) mRNA expression was used as an internal normalization control for each sample, as it was reported to be the most stably expressed gene when a panel of potential reference genes were screened in horses [37]. Careful attention was paid to avoid PCR contamination and no false-positives were observed in negative controls. Biosystems 7500 Fast Real-Time PCR System and SYBR green reagents were used to measure mRNA in equine skeletal muscle tissue. PCR conditions were as follows: initial denaturation at 95°C for 10 minutes, followed by 40 cycles of 95°C for 10 seconds and 58°C (HPRT, MYH7, MYH2, MYH1) or 60°C (PDSS1, PDSS2, COQ2, COQ3, COQ4, COQ5, COQ6, COQ7, ADCK3, ADCK4 and COQ9) for 30 seconds. All reactions were run in at least duplicate. SDS 1.9.1 software (Applied Biosystems) was used to analyse the amplification curves and these curves were used to determine the relative mRNA expression of each gene. The expression of each gene was normalised to the expression of HPRT using the ΔΔCt method. Myosin heavy chain (MHC) isoform gene expression (MYH7, MYH2 and MYH1) was subsequently expressed as a percentage of total MHC gene expression.
SDS-PAGE and immunoblotting
Proteins were resolved by sodium dodecyl sulphate-polyacrylamide gel electrophoresis (SDS-PAGE) as per the method of Laemmli [38] and transferred to polyvinylidene difluoride (PVDF) membranes (Immobolin-PSQ; Sigma-Aldrich) using a semi-dry transfer system (Hoefer Inc.). Membranes were blocked by incubation in TBS-Tween (TBS supplemented with 0.1% (v/v) Tween) (TBST) supplemented with 5% (w/v) non-fat dry milk powder for 1 hour at room temperature. Blots were then incubated in primary antibody (mouse monoclonal anti-MHC slow (M8421 Sigma-Aldrich) at 1:1000; mouse monoclonal anti-MHC fast (M4276 Sigma-Aldrich) at 1:1000; rabbit polyclonal anti-COQ4 (ab126295 AbCam) at 1:1000; rabbit polyclonal anti-ADCK3 (ab124237 AbCam) at 1:1000; mouse polyclonal anti-COQ3 (ab88561 AbCam) at 1:1000; and mouse monoclonal anti-GAPDH (CB1001 Calbiochem) at 1:2000) diluted in TBST supplemented with 5% (w/v) non-fat dry milk powder overnight at 4°C. Following primary antibody incubation, the membranes were washed and subsequently incubated in the appropriate horseradish peroxidase (HRP) conjugated secondary antibody (Rabbit 1:5000 or Mouse 1:5000 (Promega)) diluted in TBST supplemented with 5% (w/v) non-fat dry milk powder, for 1 hour at room temperature. Blots were developed using an enhanced chemiluminescence (ECL) detection system (Millipore Immobilon ECL Substrate) for detecting horseradish peroxidase labelled antibody, by means of the HRP catalysed oxidation of luminol under alkaline conditions and the results were visualised by ChemiDoc (Bio-Rad) computerised system and Image Lab software. Densitometry analysis was performed using Image Lab Software Analysis function and/or Image J software [39].
Statistical analysis
Statistical analyses were performed using the computer-based mathematical package Graph Pad Prism software. Power analyses were performed using PS-Power and Sample Size Calculations software. An initial sample set of n = 4 horses per MSTN genotype was used to estimate the sample size required for the study. The sample sizes required ranged from 6 to 16 depending on the assay data tested, with a value of 0.05 for significance, power of 0.8 and the assumption of equal group numbers. The total population was an unbalanced 82 samples, therefore this power calculation was used as an estimate. All results are expressed as mean ± SEM unless otherwise indicated. Mean values were compared using a one-way ANOVA (means (fixed) model: ) with a Bonferroni multiple comparison post-test with 95% confidence intervals, as appropriate. A p-value of ≤ 0.05 indicated significance, corresponding to the applied confidence interval of 95%.
Results
No confounding effects of age, conformation or exercise phenotypes
The two MSTN polymorphisms (g.66493737C>T and SINE insertion) were in complete concordance in the study population. Therefore, the effects of the two polymorphisms were considered together and the genotypes were denoted CC/II (homozygous C allele / insertion allele), CT/IN (heterozygous) and TT/NN (homozygous T allele / no insertion allele). The genotype distributions were CC/II n = 37, CT/IN n = 34 and TT/NN n = 11.
There was no confounding effect of age, conformation or exercise phenotypes on the measured mitochondrial phenotypes since there were no significant differences among genotypes. The subjects were aged 21 ± 3 months at the time of sampling and the genotype and sex distributions were CC/II n = 37 (15 male, 22 female), CT/IN n = 34 (15 male, 19 female) and TT/NN n = 11 (1 male, 10 female). Due to the presence of only one male in the TT/NN group, the effects of sex on the mitochondrial phenotypes could not be considered in the analysis. Body weight and wither height were measured within 60 days from the date of biopsy for as many of the study cohort as possible. While there was a significant difference in body weight between the CC/II (n = 24) and CT/IN (n = 17) horses (p < 0.05) (S1 Fig) there was no significant association between body weight/wither height and genotype (CC/II: n = 24, CT/IN: n = 17 and TT/NN; n = 6) (S1 Fig). The amount of submaximal training performed by each horse was evaluated to ensure no confounding effects of exercise. While the amount of submaximal training varied among individuals there was no significant association between submaximal training (measured in days from ‘breaking’ to biopsy and days from first canter [moderate intensity exercise] to biopsy), and genotype (S2 Fig).
Mitochondrial content variation among genotypes
The activity of the mitochondrial citrate synthase (CS; expressed as the mean ± SEM (n) nmol/min/mg of muscle protein), used to determine mitochondrial abundance in skeletal muscle, was significantly (p ≤ 0.01) lower in CC/II horses (CC/II: 351.6 ± 14.8 (37)) compared to TT/NN horses (TT/NN: 484.3 ± 35.7 (11)) (Fig 1A). Heterozygotes had significantly (p ≤ 0.05) lower CS activity compared to TT/NN horses (CT/IN: 378.9 ± 20.7 (32)) but no difference was observed between CC/II horses and CT/IN horses. Mitochondrial abundance, expressed as CS activity/g wet weight of skeletal muscle was also significantly (CC/II versus TT/NN, p ≤ 0.001; CT/IN versus TT/NN, p ≤ 0.05) lower in the presence of the C / I allele (CC/II: 22410 ± 1235 (37); CT/IN: 25630 ± 1168 (32); TT/NN: 33680 ± 3371 (11)) (Fig 1B) but no difference was observed between CC/II and CT/IN horses. In an independent assay, the mitochondrial DNA:nuclear DNA ratio (Fig 1C) confirmed the lower mitochondrial content of CC/II horses compared to TT/NN horses (p ≤ 0.05) but not between CC/II and CT/II or between CT/IN and TT/NN horses.
Muscle fibre type variation among genotypes
Considering the previously observed differences in muscle fibre proportions associated with MSTN genotype in a small set of Thoroughbreds (n = 25) [23], we analysed a larger set of Thoroughbred horses (n = 81; CC/II n = 36, CT/IN n = 34 and TT/NN n = 11), to measure the fibre composition of the skeletal muscle in the untrained state and confirm the previous observed relationship between muscle fibre composition and MSTN genotype. Fibre proportions were indirectly determined by measuring mRNA of genes producing myosin heavy chain isoforms that differ among the three fibre types, and were expressed as a percentage of the total. The MYH7 gene produces myosin heavy chain (MHC) isoform I protein which is characteristic of type I fibres, the MYH2 gene produces MHC isoform IIA which is characteristic of type IIA fibres and the MYH1 gene produces MHC isoform IIX which is characteristic of type IIX fibres. Significant muscle fibre proportion differences were observed among the genotypes. CC/II horses had a significantly lower proportion of type I fibres compared to CT/IN horses (p ≤ 0.05) and TT/NN (p ≤ 0.01) horses (Fig 2A). A similar profile was observed for type IIA fibres, with the TT/NN horses having a significantly (p ≤ 0.05) higher proportion compared to CC/II horses (Fig 2B). In contrast, TT/NN (p ≤ 0.01) and CT/NN horses had significantly (p ≤ 0.05) fewer type IIX fibres compared to CC/II horses (Fig 2C). A subset of the horses (n = 6 per genotype) was also analysed by immunoblot for the expression of slow and fast isoforms of the myosin heavy chain protein. Densitometry analysis indicated that the TT/NN horses had significantly more of the slow isoform myosin heavy chain protein than the CC/II genotype horses (p ≤ 0.05) (Fig 3). By comparison, the CC/II horses appeared to have a greater amount of the fast isoform of the myosin heavy chain protein than the TT/NN genotype horses, though this was not statistically significant considering the densitometry analysis (p = 0.15). The immunoblot data reflects the qPCR data indicating a significant association between MSTN genotype and muscle fibre composition in untrained Thoroughbred skeletal muscle.
Mitochondrial bioenergetic variation among genotypes
The activities of individual mitochondrial electron transport chain complexes, including NADH:ubiquinone oxidoreductase (complex I) (Fig 4A), succinate dehydrogenase (complex II) (Fig 4B), ubiquinol-cytochrome c oxidoreductase (complex III) (Fig 4C) and cytochrome c oxidase (complex IV) (Fig 4D) were measured, normalized to mitochondrial abundance (CS activity) to determine the specific complex activity per unit mass of mitochondria and compared among genotypes. ATP synthase (Complex V) activity was not measured as its reliability in frozen tissue samples is questionable due to high oligomycin-resistant activities [40, 41]. There was no observable difference among genotypes for any of the individual mitochondrial complex (I-IV) activities (p > 0.05) (Fig 4, S2 Table).
The combined enzyme activities of complex I+III and complex II+III were measured, normalized to mitochondrial abundance (CS activity) to determine the specific complex activity per unit mass of mitochondria and compared among genotypes. There were significantly lower levels of both combined complex I+III (Fig 5A) and complex II+III (Fig 5B) activities in TT/NN horses compared to CC/II horses (p ≤ 0.05) (CI+III = CC/II: 0.1483 ± 0.0137 (n = 29); CT/IN: 0.1237 ± 0.0104 (n = 28) TT/NN: 0.0812 ± 0.0166 (n = 7); CII+III = CC/II: 0.04942 ± 0.00500 (n = 37) CT/IN: 0.04633 ± 0.00500 (n = 32) TT/NN: 0.02630 ± 0.00465 (n = 11)). TT/NN horses had approximately half the combined complex activities of CC/II horses (p ≤ 0.05).
Considering that the individual activities of complex I, II and III appeared to be unaffected by genotype the differences in the activities of the combined complexes suggested there may be lower levels of CoQ in the mitochondria of skeletal muscle tissue of TT/NN horses compared to CC/II. CoQ10 (ubiquinone (oxidized from) or ubiquinol (reduced form)) acts as a mobile redox carrier linking complex I and II with complex III in the electron transport chain of mitochondria. The assays measuring the combined enzyme activities of complex I+III and complex II+III may be used as an indirect measure of CoQ levels in the mitochondria in tissue samples. Therefore, to test the hypothesis that the combined complex activities were lower in TT/NN horses as a result of lower endogenous CoQ availability we conducted an ‘add-back’ experiment by adding CoQ1 (or ubiquinone1) to the complex I+III and complex II+III assays. The addition of ubiquinone restored the activity of complex I+III and complex II+III in the TT/NN horses to similar levels measured in the CC/II horses, indicating the difference in complex activity was due to a relative deficiency in endogenous CoQ in TT/NN horses (Fig 5C and 5D).
To further explore the apparent relative CoQ deficiency in TT/NN skeletal muscle mitochondria, the expression of 11 genes (PDSS1, PDSS2, COQ2, COQ3, COQ4, COQ5, COQ6, COQ7, ADCK3, ADCK4 and COQ9) encoding enzymes and proteins involved in the biosynthesis of CoQ was analysed. The relative expression of two genes COQ4 and ADCK3 was significantly (COQ4, p ≤ 0.05; ADCK3, p ≤ 0.01, Fig 6) lower in skeletal muscle of TT/NN horses compared to CC/II horses. Heterozygous CT/IN animals also had significantly higher COQ4 expression than TT/NN horses (p ≤ 0.05). There was no significant association with MSTN genotype for the other CoQ pathway genes, though there was an observable trend towards lower expression in TT/NN horses compared to CC/II horses (S3 Fig). Considering the observed differences in transcripts for COQ4 and ADCK3, we examined whether the differences in transcripts manifested themselves as differences in protein expression in the skeletal muscle. Expression levels of COQ3, COQ4 and ADCK3 proteins were measured by immunoblot analysis in a subset (n = 6 per genotype) of samples (S4 Fig). No significant association (p > 0.05) was observed between MSTN genotype and the expression of COQ4, ADCK3 and COQ3 proteins.
Discussion
MSTN polymorphisms (g.66493737C>T and SINE insertion) in Thoroughbreds are associated with optimum race distance [17, 18] and muscle fibre composition [22]. We hypothesised that MSTN variation effects mitochondrial abundance and bioenergetics, which subsequently manifest in the system-wide phenotypes relevant to racecourse performance that have previously been reported. In this study we observed that variation in MSTN genotype is associated with mitochondrial abundance and the presence of the C allele / I allele corresponded with a lower proportion of skeletal muscle mitochondria. For context, we measured variation in skeletal muscle fibre proportions and found the T allele / N allele corresponded to an increased proportion of type I and type IIA fibres in combination with a decreased proportion of type IIX fibres. These data are consistent with previously reported histochemistry findings [23]. Petersen et al. [23] have provided evidence from analyses of muscle fibre composition in the Belgian horse breed, which does not have the SINE insertion polymorphism, that the SINE insertion and not the SNP g.66493737C>T most likely has the predominant effect on the variation in muscle fibre composition. In the present study the SNP and SINE insertion are in complete concordance, therefore the association with muscle fibre proportions was observed for both polymorphisms.
Type I skeletal muscle fibres are more oxidative, contain more mitochondria and lend to greater endurance capacity than glycolytic type IIX skeletal muscle fibres. Type IIA fibres are intermediate in their oxidative and glycolytic capacities and similar to type I fibres, have a high mitochondrial content [42–44]. Considering this, it is likely that the observed association between genotype and mitochondrial abundance is a consequence of the muscle fibre composition variation and not an independent effect. Since the fibre composition of skeletal muscle determines the contractile pattern of the muscle and hence the potential for physical performance [45] this likely explains the observation of the increased stamina performance of TT/NN horses and the greater suitability for sprint racing of CC/II horses [16, 17, 19, 20].
Endurance training is known to increase mitochondrial abundance in skeletal muscle and results in a shift in fibre proportions towards a more oxidative phenotype with an increase in type I fibres [43, 46]. Similar alterations are expected to occur in this cohort after a period of training, but whether those changes would be influenced by MSTN genotype would need to be examined.
While there does not, therefore, appear to be a direct effect of MSTN variation on mitochondrial abundance, we examined whether MSTN variation influenced the energetic phenotype of the mitochondria by measuring mitochondrial electron transport chain complex activity. Since there was no association with MSTN genotype and the individual complexes I, II, III or IV, this supports the assertion that the variation in mitochondrial abundance is likely an indirect effect of the association with muscle fibre proportions rather than a direct effect on the mitochondria.
Notwithstanding this, we observed significant variation in combined complex I+III and complex II+III activities associated with MSTN genotype. CoQ acts as a mobile redox carrier linking complexes I and II with complex III. Considering the individual electron transport chain complex activities were not influenced by MSTN genotype, the variation in the combined activity assays (CI+III and CII+III) suggested lower CoQ concentrations in the skeletal muscle mitochondria of TT/NN horses; however, a definitive measure of CoQ10 by high-performance liquid chromatography was not feasible here. Mitochondrial content was used to normalise the complex activity measurements, therefore it may be interpreted that the differences in CI+III and CII+III activities are independent of the association of MSTN genotype with mitochondrial abundance. The ‘add back’ of ubiquinone to the assays removed any difference in genotype variation, suggesting that endogenous CoQ production in TT/NN horses is lower than in CT/IN and CC/NN horses. In addition, significant gene expression variation in two key CoQ synthesis pathway genes (COQ4 and ADCK3) was associated with MSTN genotype. COQ4 is thought to encode a zinc binding protein which provides a structural centre holding the enzymes of CoQ biosynthesis together in a complex. A decrease in the expression of COQ4 could reduce the stability of the complex and hence reduce the efficiency of CoQ biosynthesis. ADCK3 is thought to encode a protein which may act in a chaperone role in the biosynthetic process and so decreased ADCK3 would also have an impact on the efficiency of CoQ biosynthesis. Previously, mutations in ADCK3 and COQ4 have been observed to result in decreased CoQ levels in skeletal muscle [47–49].
However, protein levels, as measured by immunoblotting were not different among the genotypes suggesting that the transcript level is decreased without a coinciding decrease in protein level. Although seemingly unusual, it is frequent to observe protein levels which do not reflect the transcriptional expression of the encoding gene [50]. This lack of correlation is mainly due to the extent of the regulatory control of gene expression and protein synthesis. Studies have found that in some systems the correlation between the relative mRNA and protein abundances can be as low as 40%, at steady state [51, 52]. The remaining variation is thought to be a result of post-transcriptional regulation and experimental measurement noise. The processes of transcription, translation and protein degradation are often coupled and thus regulate one another in a feedback loop mechanism, which may result in a lack of correlation between mRNA and protein abundance [53, 54]; however, a full interpretation of the variation has yet to be made. Here, we have observed decreased CoQ levels, as measured indirectly by combined complex activities along with a corresponding decreased expression of two CoQ biosynthesis genes. These associations were observed without a corresponding protein variation which may mean that the decreased gene expression is not resulting in any protein variation due to the aforementioned lack of correlation explanations. Although without an association with the functional protein one may not conclude a functional influence but may however speculate that the expression of these two genes may act as a marker for CoQ activity in the tissue. In addition, the endurance phenotype of the TT/NN horses, with their higher proportion of type I fibres and concurrent increased mitochondrial content, does not align with a CoQ deficiency or the potentially decreased mitochondrial capacity that this may produce.
Commonly, CoQ is present in the mitochondrial inner membrane in stoichiometric excess over other components [55–57], therefore lower CoQ concentrations may or may not have a functional effect. It has previously been observed in rat, human and Drosophila that mitochondrial electron transport chain complexes appear to have ‘thresholds’, and as such they can occasionally lose a certain amount of activity without it having any overall functional impact on the capacity of mitochondria to perform oxidative phosphorylation [58–60]. For example, in nonsynaptic mitochondria isolated from rat brain, individual electron transport chain complexes I, III and IV could be inhibited by approximately 72%, 70% and 60%, respectively, prior to any significant alterations in mitochondrial respiration or ATP synthesis occurring [58]. These ‘threshold’ effects have not been extensively studied in equine skeletal muscle mitochondria; however, a recent publication which assessed the effects of aging on mitochondrial function observed a possible example of this in American Quarter horses [61]. Significantly decreased cytochrome c oxidase activity, indicative of decreased oxidative capacity, was observed in aged horses, without a concurrent alteration in mitochondrial respiration. This concept could play a factor in whether or not the associations noted in the present study impact on mitochondrial function.
Dietary CoQ uptake is limited in mammals [62, 63],with the majority of CoQ is endogenously synthesised. The biosynthetic process occurs in a number of locations within the cell and involves a number of common pathways. Although the full biosynthetic pathway is not yet fully understood, it is known that the terminal rate-limiting steps of CoQ biosynthesis occur in the mitochondria [64, 65] and are modulated by nuclear encoded genes specific to CoQ biosynthesis. Mutations in the genes encoding enzymes involved in the biosynthesis of CoQ have a variety of phenotypic consequences, ranging from mild to severe symptoms such as encephalomyopathy and cerebellar ataxia [66]. The severity of symptoms may be related to the level of biosynthetic impairment and hence level of CoQ deficiency, the more severe the impairment the more severe the symptoms [67]. Secondary CoQ deficiencies due to mutations in genes unrelated to CoQ biosynthesis are also associated with ataxia and mitochondrial encephalomyopathies [68–70]. Deficiencies in CoQ in skeletal muscle and the resulting myopathies have been associated with mutations in a number of the CoQ biosynthetic genes such as COQ9 [71]. However, in many cases where decreased CoQ levels in skeletal muscle were detected in association with a CoQ biosynthesis gene mutation no myopathic symptoms are observed [47, 48]. Supplementation with CoQ to patients displaying marked deficiency in the molecule have had varied results [66, 72]. In many cases oral supplementation with high doses of CoQ10 leads to increased CoQ levels and stops the progression of the disease.
In that regard, CoQ has been suggested as a therapeutic supplement with potential nutritional [72, 73], performance [74] and anti-fatigue benefits [75–77]. Previous studies have implicated CoQ supplementation in the alteration of fibre proportions in skeletal muscle tissue in both humans and rats [78, 79]. In humans CoQ10 supplementation has been used successfully as an adjunctive therapy in the treatment of congestive heart failure, muscular dystrophy and myopathies [80–83]. There is some potential for CoQ10 supplementation to reduce exercise-induced oxidation [75], as evidenced by a reduction in pro-oxidative biomarkers and an increase in anti-oxidant enzymes. There may also be an anti-fatigue effect of CoQ10 during exercise with a decrease in the rate of perceived exertion noted with CoQ10 supplementation [77]. A slight decrease in biomarkers of muscle damage has been noted with CoQ10 supplementation as well as an increase in VO2max of untrained humans [84], although other studies found no influence of supplementation on oxygen uptake during exercise [85, 86]. No significant influence on anaerobic cardiovascular exercise or exercise capacity has been detected with CoQ10 supplementation. There are some reports of the use of CoQ10 in the horse that indicate no significant side-effects of the supplement [87, 88], significant reduction in pro-inflammatory gene expression [89] and a reduction in CoQ10 depletion following supplementation and high-intensity exercise [88]. The connection between myostatin and CoQ10, which results in these associations with MSTN genotype is, at present, unclear. Although future studies will be required to elucidate the functional effect of CoQ10 on Thoroughbred skeletal muscle, the findings of the present study suggest a means by which the supplementation of CoQ10 in horses could be individualised to those that would benefit most.
Conclusions
MSTN genotype in untrained Thoroughbred horses is associated with muscle fibre proportion and as a consequence mitochondrial abundance. These phenotypes manifest in variation in endurance related performance that have a greater requirement for oxidative energy production. We have found that despite the greater oxidative requirements, TT/NN horses have significantly lower mitochondrial combined complex I+III and II+III activity, an indicator of CoQ levels, than CC/II horses. In addition, we observed a significant association between MSTN genotype and the expression of two CoQ biosynthetic pathway genes, COQ4 and ADCK3, which may suggest decreased biosynthesis of CoQ. These data suggest that TT/NN horses may benefit from dietary supplementation of CoQ10, which has been shown to have a range of health benefits relating to exercise.
Supporting information
Acknowledgments
The authors thank trainer J.S. Bolger and staff for access to Thoroughbred horse samples and acknowledge the assistance provided by Charlotte McGivney, Katie Gough and Gabriella Farris.
This data was presented, in part, as a submitted abstract [90] and poster presentation at the European Bioenergetics Conference, Riva del Garda, Italy, July 2016 and at the International Biochemistry of Exercise Conference, Sao Paulo, Brazil, September 2015 and as a short oral presentation at the First International, Italian Group of Biomembranes and Bioenergetics (GIBB) meeting, Catania, Sicily, June 2017.
Data Availability
All relevant data are within the paper and its Supporting Information files.
Funding Statement
This publication has emanated from research conducted with the financial support of Science Foundation Ireland (http://www.sfi.ie/) under Grant Number 11/PI/1166. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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