Marie Damon

Development of thermoregulation and neonatal survival in pigs

Neonatal mortality is still a source of serious loss to the swine industry. We know that optimal development of thermoregulation is a prerequisite of utmost importance for successful adaptation to extra-uterine life. Indeed, a comprehensive knowledge of piglet thermoregulation is now available and may be helpful to increase our understanding of the biology of neonatal losses. The newborn pig is poorly insulated and maintenance of its homeothermic balance depends essentially on its capacity to produce heat. However, unlike most newborn mammals, piglets do not possess brown adipose tissue and rely almost exclusively on shivering thermogenesis for thermoregulatory purposes. Therefore, skeletal muscle plays an essential role in preserving homeothermy. Key factors involved in the limited cold tolerance of the new-born and enhancement of thermoregulatory abilities early after birth have been identified. Most of them, and especially the maturation of skeletal muscle metabolism and function are suggestive of the relative physiological and metabolic immaturity of piglets at the time of birth. Therefore, physiological, biochemical, molecular and ultrastructural adjustments involved in the maturation of skeletal muscle energy metabolism after birth are presented. Finally, effects of key factors such as birth weight, genotype, colostrum intake, hypothermia and hypoxia on thermoregulatory abilities are described.

Differentially-expressed genes in pig Longissimus muscles with contrasting levels of fat, as identified by combined transcriptomic, reverse transcription PCR, and proteomic analyses.

Intramuscular fat content is important for many meat quality parameters. This work is aimed at identifying functional categories of genes associated with natural variation among individuals in intramuscular fat content to help the design of genetic schemes for high marbling potential. Taking advantage of the global nature of transcriptomic and proteomic technologies, 40 genes were identified as differently expressed between high fat and low fat pig Longissimus muscles at slaughter weight. They are involved in metabolic processes, cell communication, binding, and response to stimulus. Using real-time PCR in muscle biopsies taken earlier in the fattening period, the group with a high intramuscular fat content was also characterized by the down-expression of genes playing a negative role in adipogenesis, such as architectural transcription factor high-motility hook A1, mitogen activated protein-kinase14, and cyclin D1. These results suggest that interindividual variability in intramuscular fat content might arise essentially from differences in early adipogenesis.

Comparison of Muscle Transcriptome between Pigs with Divergent Meat Quality Phenotypes Identifies Genes Related to Muscle Metabolism and Structure

Background Meat quality depends on physiological processes taking place in muscle tissue, which could involve a large pattern of genes associated with both muscle structural and metabolic features. Understanding the biological phenomena underlying muscle phenotype at slaughter is necessary to uncover meat quality development. Therefore, a muscle transcriptome analysis was undertaken to compare gene expression profiles between two highly contrasted pig breeds, Large White (LW) and Basque (B), reared in two different housing systems themselves influencing meat quality. LW is the most predominant breed used in pig industry, which exhibits standard meat quality attributes. B is an indigenous breed with low lean meat and high fat contents, high meat quality characteristics, and is genetically distant from other European pig breeds. Methodology/Principal Findings Transcriptome analysis undertaken using a custom 15 K microarray, highlighted 1233 genes differentially expressed between breeds (multiple-test adjusted P-value<0.05), out of which 635 were highly expressed in the B and 598 highly expressed in the LW pigs. No difference in gene expression was found between housing systems. Besides, expression level of 12 differentially expressed genes quantified by real-time RT-PCR validated microarray data. Functional annotation clustering emphasized four main clusters associated to transcriptome breed differences: metabolic processes, skeletal muscle structure and organization, extracellular matrix, lysosome, and proteolysis, thereby highlighting many genes involved in muscle physiology and meat quality development. Conclusions/Significance Altogether, these results will contribute to a better understanding of muscle physiology and of the biological and molecular processes underlying meat quality. Besides, this study is a first step towards the identification of molecular markers of pork quality and the subsequent development of control tools.

Characterisation of oxidative phosphorylation in skeletal muscle mitochondria subpopulations in pig: a study using top-down elasticity analysis

In skeletal muscle, two mitochondrial populations are present which, on the basis of their localisation, are termed intermyofibrillar and subsarcolemmal mitochondria (IMF and SS, respectively). These two populations have different biochemical characteristics and show different responses to physiological stimuli. In this paper, we characterise the oxidative phosphorylation of SS and IMF using ‘top‐down’ elasticity analysis. We excluded the possibility that their different characteristics can be attributed to a different degree of breakage of the two types of mitochondria due to the different isolation procedures used in their preparation. The higher respiration rate and higher respiratory control ratio shown by IMF compared with those shown by SS are principally due to the higher activities of the reactions involved in substrate oxidation as confirmed by the measurement of cytochrome oxidase activity. There is no difference in the leak of protons across the inner mitochondrial membrane between IMF and SS; a faster rate of ATP synthesis and turnover is driven by the lower membrane potential in SS compared with in IMF.

First evidence of uncoupling protein-2 (UCP-2) and -3 (UCP-3) gene expression in piglet skeletal muscle and adipose tissue.

Uncoupling proteins (UCPs) facilitate proton transport inside the mitochondria and decrease the proton gradient, leading to heat production. Until now, the presence of UCP1 or other UCP homologs had not been detected in tissues of pig, a species where evidence for the presence of brown adipose tissue has only been provided in 2-3 month old animals. In the light of the improving knowledge on the UCPs family, we decided to examine both UCP2 and UCP3 mRNA expression in piglet skeletal muscle and adipose tissue. Using RT-PCR we have successfully cloned a partial UCP2 sequence and a complete UCP3 cDNA. UCP3s open reading frame (936bp) shares 90, 89 and 85% similarity with bovine, human and rat UCP3 nucleotide sequences, respectively. In 3-5 day old piglets, these genes are expressed in adipose tissue and in both longissimus thoracis (LT) and rhomboïdeus (RH) muscles, without any effect of muscle metabolic type. This is in good agreement with the measurement of the same membrane potential in mitochondria isolated from both types of muscles. In triiodothyronine-treated piglets, UCP3 mRNA is more expressed in LT than in RH muscle. These genes may be involved in the control of the energy metabolism of the piglet.

Cloning and tissue distribution of a carnitine palmitoyltransferase I gene in rainbow trout (Oncorhynchus mykiss).

The carnitine palmitoyltransferase I (EC.2.3.1.21; CPT I) mediates the transport of fatty acids across the outer mitochondrial membrane. In mammals, there are two different proteins CPT I in the skeletal muscle (M) and liver (L) encoded by two genes. The carnitine palmitoyltransferase system of lower vertebrates received little attention. With the aim of improving knowledge on the CPT family in fish, we examined CPT I cDNA and CPT activity in different tissues of rainbow trout (Oncorhynchus mykiss). Using RT-PCR, we successfully cloned a partial CPT I cDNA sequence (1650 bp). The predicted protein sequence revealed identities of 63% and 61% with human L-CPT I and M-CPT I, respectively. This mRNA is expressed in liver, white and red skeletal muscles, heart, intestine, kidney and adipose tissue of trout. This is in good agreement with the measurement of the CPT activity in the same tissues. The [IC(50)] that reflects the sensitivity to malonyl-CoA inhibition was 0.116+/-0.004 microM for the liver and 0.426+/-0.041 microM for the white muscle. These results demonstrate for the first time the existence of at least one gene encoding for CPT I present in both the liver and the muscle of rainbow trout.

Cellular and Biochemical Features of Skeletal Muscle in Obese Yucatan Minipigs

Objective: To examine cellular and biochemical features of skeletal muscle in response to dietary‐induced obesity in a novel Yucatan minipig model of childhood obesity.

Associations between muscle gene expression pattern and technological and sensory meat traits highlight new biomarkers for pork quality assessment.

Meat quality (MQ) results from complex phenomenon and despite improved knowledge on MQ development, its variability remains high. The identification of biomarkers and the further development of rapid tests would thus be helpful to evaluate MQ in pork industries. Using transcriptomics, the present study aimed at identifying biomarkers of eight pork quality traits: ultimate pH, drip loss, lightness, redness, hue angle, intramuscular fat, shear force and tenderness, based on an experimental design inducing a high variability in MQ. Associations between microarray gene expression and pork traits (n=50 pigs) highlighted numerous potential biomarkers of MQ. Using quantitative RT-PCR, 113 transcript-trait correlations including 40 of these genes were confirmed (P<0.05, |r|≤0.73), out of which 60 were validated (P<0.05, |r|≤0.68) on complementary experimental data (n=50). Multiple regression models including 3 to 5 genes explained up to 59% of MQ trait variability. Moreover, functional analysis of correlated-trait genes provided information on the biological phenomena underlying MQ.

Health and immune traits of Basque and Large White pigs housed in a conventional or enriched environment

Since decades, production traits such as growth rate, feed efficiency or body composition have been drastically increased in pigs by genetic selection. Whether this selection impacted animal robustness is still unclear. In this study, we compared Large White (LW) pigs, a breed submitted to intense genetic selection for production traits, and Basque (B) pigs, a local rustic breed, reared in two different housing environments (conventional v. enriched). Adaptation to housing conditions among each breed was evaluated at the level of endocrine and immune traits. These are known to be impacted by housing conditions and breed; however, the interaction effects between genotype and environment are less described. Animals (20 per breed and housing environment) entered the experiment at 35 kg of live weight. Levels of cortisol, acute-phase inflammatory proteins, immunoglobulins and hydrogen peroxide, blood formula, lymphocyte proliferation and in-vitro cytokine expression were measured at ∼115 kg of live weight. Animals were checked for skin injuries during the growing period. At slaughter, at the average live weight of 145 kg, carcasses were examined for pathological conditions of the respiratory tract. The major result was that the two breeds exhibited differences in response to the housing environment. Among the 24 sanitary, endocrine or immune traits investigated, the housing conditions affected eight variables in both breeds (salivary cortisol at 0700 and 1900 h, severity of pneumonia at slaughter) or only in B pigs (severe skin lesions) or LW pigs (salivary cortisol at 1500 h, granulocyte numbers and lymphocyte/granulocyte ratio and lymphocyte proliferation). These observations strengthen the hypothesis that selection for high meat production level might be associated with an increased susceptibility of animals to environmental stressors.

Joint analysis of quantitative trait loci and major-effect causative mutations affecting meat quality and carcass composition traits in pigs

BackgroundDetection of quantitative trait loci (QTLs) affecting meat quality traits in pigs is crucial for the design of efficient marker-assisted selection programs and to initiate efforts toward the identification of underlying polymorphisms. The RYR1 and PRKAG3 causative mutations, originally identified from major effects on meat characteristics, can be used both as controls for an overall QTL detection strategy for diversely affected traits and as a scale for detected QTL effects. We report on a microsatellite-based QTL detection scan including all autosomes for pig meat quality and carcass composition traits in an F2 population of 1,000 females and barrows resulting from an intercross between a Pietrain and a Large White-Hampshire-Duroc synthetic sire line. Our QTL detection design allowed side-by-side comparison of the RYR1 and PRKAG3 mutation effects seen as QTLs when segregating at low frequencies (0.03-0.08), with independent QTL effects detected from most of the same population, excluding any carrier of these mutations.ResultsLarge QTL effects were detected in the absence of the RYR1 and PRKGA3 mutations, accounting for 12.7% of phenotypic variation in loin colour redness CIE-a* on SSC6 and 15% of phenotypic variation in glycolytic potential on SSC1. We detected 8 significant QTLs with effects on meat quality traits and 20 significant QTLs for carcass composition and growth traits under these conditions. In control analyses including mutation carriers, RYR1 and PRKAG3 mutations were detected as QTLs, from highly significant to suggestive, and explained 53% to 5% of the phenotypic variance according to the trait.ConclusionsOur results suggest that part of muscle development and backfat thickness effects commonly attributed to the RYR1 mutation may be a consequence of linkage with independent QTLs affecting those traits. The proportion of variation explained by the most significant QTLs detected in this work is close to the influence of major-effect mutations on the least affected traits, but is one order of magnitude lower than effect on variance of traits primarily affected by these causative mutations. This suggests that uncovering physiological traits directly affected by genetic polymorphisms would be an appropriate approach for further characterization of QTLs.