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Iberian pigs and its crosses are produced to obtain high-quality meat products. The objective of this work was to evaluate a wide panel of DNA markers, selected by biological and functional criteria, for association with traits related to muscle growth, fatness, meat quality and metabolism. We used 18 crossbred Iberian pigs with divergent postnatal growth patterns for whole genome sequencing and SNP discovery, with over 13 million variants being detected. We selected 1023 missense SNPs located on annotated genes and showing different allele frequencies between pigs with makerdly different growth patterns. We complemented this panel with 192 candidate SNPs obtained from literature mining and from muscle RNAseq data. The selected markers were genotyped in 480 Iberian × Duroc pigs from a commercial population, in which phenotypes were obtained, and an association study was performed for the 1005 successfully genotyped SNPs showing segregation. The results confirmed the effects of several known SNPs in candidate genes (such as LEPR, ACACA, FTO, LIPE or SCD on fatness, growth and fatty acid composition) and also disclosed interesting effects of new SNPs in less known genes such as LRIG3, DENND1B, SOWAHB, EPHX1 or NFE2L2 affecting body weight, average daily gain and adiposity at different ages, or KRT10, NLE1, KCNH2 or AHNAK affecting fatness and FA composition. The results provide a valuable basis for future implementation of marker-assisted selection strategies in swine and contribute to a better understanding of the genetic architecture of relevant traits., (© 2022. The Author(s).)

Because of the central role of Steroidogenic factor 1 in the regulation of the development and function of steroidogenic tissues, including the adrenal gland, we chose the encoding gene NR5A1 as a candidate for stress response, meat quality and carcass composition in the domestic pig. To identify polymorphisms of the porcine NR5A1 we comparatively sequenced the coding, untranslated and regulatory regions in four commercial pig lines. Single nucleotide polymorphisms could be found in the 3' UTR and in an intronic enhancer, whereas no polymorphisms were detected in the proximal promoter and coding region. A subset of the detected polymorphisms was genotyped in Piétrain x (German Large White x German Landrace) and German Landrace pigs. For the same animals, carcass composition traits, meat quality characteristics and parameters of adrenal function were recorded. Associations with meat color were found for two of the discovered SNPs in Piétrain x (German Large White x German Landrace) and German Landrace pigs but no connections to parameters of adrenal function could be established. We conclude that NR5A1 variations influence meat color in a hypothalamus-pituitary-adrenal axis independent manner and that further regulatory regions need to be analyzed for genetic variations to understand the discovered effects.

Understanding the genetic contributions behind skeletal muscle composition and metabolism is of great interest in medicine and agriculture. Attempts to dissect these complex traits combine genome-wide genotyping, expression data analyses and network analyses. Weighted gene co-expression network analysis (WGCNA) groups genes into modules based on patterns of co-expression, which can be linked to phenotypes by correlation analysis of trait values and the module eigengenes, i.e. the first principal component of a given module. Network hub genes and regulators of the genes in the modules are likely to play an important role in the emergence of respective traits. In order to detect common regulators of genes in modules showing association with meat quality traits, we identified eQTL for each of these genes, including the highly connected hub genes. Additionally, the module eigengene values were used for association analyses in order to derive a joint eQTL for the respective module. Thereby major sites of orchestrated regulation of genes within trait-associated modules were detected as hotspots of eQTL of many genes of a module and of its eigengene. These sites harbor likely common regulators of genes in the modules. We exemplarily showed the consistent impact of candidate common regulators on the expression of members of respective modules by RNAi knockdown experiments. In fact, Cxcr7 was identified and validated as a regulator of genes in a module, which is involved in the function of defense response in muscle cells. Zfp36l2 was confirmed as a regulator of genes of a module related to cell death or apoptosis pathways. The integration of eQTL in module networks enabled to interpret the differentially-regulated genes from a systems perspective. By integrating genome-wide genomic and transcriptomic data, employing co-expression and eQTL analyses, the study revealed likely regulators that are involved in the fine-tuning and synchronization of genes with trait-associated expression.

Improvement in growth and meat quality is one of the main objectives in sire line pig breeding programmes. Mapping quantitative trait loci for these traits using experimental crosses and a linkage-based approach has been performed frequently in the past. The Piétrain breed often was involved as a founder breed to establish the experimental crosses. This breed was selected for muscularity and leanness but shows relatively poor meat quality. It is frequently used as a sire line breed. With the advent of genome-wide and dense SNP chips in pig genomic research, it is possible to also conduct genome-wide association studies within the Piétrain breed. In this study, around 500 progeny-tested sires were genotyped with 60k SNPs. Data filtering showed that around 48k SNPs were useable in this sample. These SNPs were used to conduct a genome-wide association study for growth, muscularity and meat quality traits. Because it is known that a mutation in the RYR1 gene located on chromosome 6 shows a major effect on meat quality, this mutation was included in the models. Single-marker and multimarker association analyses were performed. The results revealed between zero and eight significant associations per trait with P < 5 × 10(-5) . Of special interest are SNPs located on SSC6, SSC10 and SSC15., (© 2014 Stichting International Foundation for Animal Genetics.)

Biochemical and biophysical processes that take place in muscle under relaxed and stressed conditions depend on the abundance and activity of gene products of metabolic and structural pathways. In livestock at post-mortem, these muscle properties determine aspects of meat quality and are measurable. The conversion of muscle to meat mimics pathological processes associated with muscle ischemia, injury or damage in humans and it is an economic factor in pork production. Linkage, association, and expression analyses independently contributed to the identification of trait-associated molecular pathways and genes. We aim at providing multiple evidences for the role of specific genes in meat quality by integrating a genome-wide association study (GWAS) for meat quality traits and the detection of eQTL based on trait-correlated expressed genes and trait-associated markers. The GWAS revealed 51 and 200 SNPs significantly associated with meat quality in a crossbred Pietrain×(German Landrace×Large White) (Pi×(GL×LW)) and a purebred German Landrace (GL) population, respectively. Most significant SNPs in Pi×(GL×LW) were located on chromosomes (SSC) 4 and 6. The data of 47,836 eQTLs at a significance level of p<10(-5) were used to scale down the number candidate genes located in these regions. These SNPs on SSC4 showed association with expression levels of ZNF704, IMPA1, and OXSR1; SSC6 SNPs were associated with expression of SIGLEC10 and PIH1D1. Most significant SNPs in GL were located on SSC6 and associated with expression levels of PIH1D1, SIGLEC10, TBCB, LOC100518735, KIF1B, LOC100514845, and two unknown genes. The abundance of transcripts of these genes in muscle, in turn, is significantly correlated with meat quality traits. We identified several genes with evidence for their candidacy for meat quality arising from the integrative approach of a genome-wide association study and eQTL analysis.

The UBX domain containing protein 1-like gene (UBXN1) promotes the protein degradation that affects meat quality, in particular traits related to water holding capacity. The aim of our study was to identify UBXN1 polymorphisms and to analyse their association with meat quality traits. Moreover, the relationship of UBXN1 polymorphisms and its transcript abundance as well as the link between UBXN1 expression and water holding capacity were addressed. Pigs of the breed German landrace (GL) and the commercial crossbreed of Pietrain × [German large white × GL] (PiF1) were used for this study. In GL, the novel SNP c.355 C > T showed significant association with conductivity and drip loss (P ≤ 0.05). Another SNP at nt 674 of the coding sequence [SNP c.674C>T (p.Thr225Ile)] was associated with drip loss (P ≤ 0.05) and pH1 (P ≤ 0.1). In PiF1, the SNP UBXN1 c.674C>T was associated with conductivity (P ≤ 0.01). Moreover, the haplotype combinations showed effects on conductivity within both commercial populations at P ≤ 0.1. In both populations, high expression of UBXN1 tended to decrease water holding capacity in the early post mortem period. The analysis of triangular relationship of UBXN1 polymorphism, transcript abundance, and water holding capacity evidences the existence of a causal polymorphism in cis-regulatory regions of UBXN1 that influences its expression.

The glucocorticoid receptor (GR) is a ubiquitously acting transcription factor that is responsible for mediating the physiological response to stress and adaptation to environmental conditions. Genetic variation of a GR gene (NR3C1) may therefore contribute to multiple phenotypic alterations and influence relevant traits of animal production. Here, we examined effects of two non-synonymous mutations of the porcine NR3C1, leading to amino acid exchanges p.Glu13Asp (c.39A>C) and p.Val19Leu (c.55G>C) in the N-terminal domain of the GR, on meat quality and carcass composition. In addition, we explored their influence on transcriptional activity of GR in vitro. A commercial crossbreed Pietrain × (German Large White × German Landrace) herd (n = 545) in which genotypes and relevant traits had been collected was used to perform the association analysis. The single nucleotide polymorphism (SNP) c.55G>C was significantly associated with conductivity and meat color scores. These effects were highly consistent considering the physiological relationship between these traits. Association analysis of SNP c.39A>C also revealed significant effects on closely connected meat quality traits. In addition, SNP c.55G>C showed association with carcass traits, mainly those related to muscle deposition. The molecular mechanism of action of both amino acid substitutions remains obscure because neither showed significant influence on transcriptional activity of GR. Our study emphasizes NR3C1 as an important candidate gene for muscle-related traits in pigs, but further work is necessary to clarify the molecular background of the identified associations., (© 2013 Stichting International Foundation for Animal Genetics.)

In this study lean meat water-holding capacity (WHC) of a Duroc × Pietrain (DuPi) resource population with corresponding genotypes and transcriptomes was investigated using genetical genomics. WHC was characterized by drip loss measured in M. longissimus dorsi. The 60K Illumina SNP chips identified genotypes of 169 F2 DuPi animals. Whole-genome transcriptomes of muscle samples were available for 132 F2 animals using the Affymetrix 24K GeneChip® Porcine Genome Array. Performing genome-wide association studies of transcriptional profiles, which are correlated with phenotypes, allows elucidation of cis- and trans-regulation. Expression levels of 1,228 genes were significantly correlated with drip loss and were further analyzed for enrichment of functional annotation groups as defined by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathways. A hypergeometric gene set enrichment test was performed and revealed glycolysis/glyconeogenesis, pentose phosphate pathway, and pyruvate metabolism as the most promising pathways. For 267 selected transcripts, expression quantitative trait loci (eQTL) analysis was performed and revealed a total of 1,541 significant associations. Because of positional accordance of the gene underlying transcript and the eQTL location, it was possible to identify eight eQTL that can be assumed to be cis-regulated. Comparing the results of gene set enrichment and the eQTL detection tests, molecular networks and potential candidate genes, which seemed to play key roles in the expression of WHC, were detected. The α-1-microglobulin/bikunin precursor (AMBP) gene was assumed to be cis-regulated and was part of the glycolysis pathway. This approach supports the identification of trait-associated SNPs and the further biological understanding of complex traits.

Background: Physiological processes aiding the conversion of muscle to meat involve many genes associated with muscle structure and metabolic processes. MicroRNAs regulate networks of genes to orchestrate cellular functions, in turn regulating phenotypes., Results: We applied weighted gene co-expression network analysis to identify co-expression modules that correlated to meat quality phenotypes and were highly enriched for genes involved in glucose metabolism, response to wounding, mitochondrial ribosome, mitochondrion, and extracellular matrix. Negative correlation of miRNA with mRNA and target prediction were used to select transcripts out of the modules of trait-associated mRNAs to further identify those genes that are correlated with post mortem traits., Conclusions: Porcine muscle co-expression transcript networks that correlated to post mortem traits were identified. The integration of miRNA and mRNA expression analyses, as well as network analysis, enabled us to interpret the differentially-regulated genes from a systems perspective. Linking co-expression networks of transcripts and hierarchically organized pairs of miRNAs and mRNAs to meat properties yields new insight into several biological pathways underlying phenotype differences. These pathways may also be diagnostic for many myopathies, which are accompanied by deficient nutrient and oxygen supply of muscle fibers.

The aim of this research was to screen polymorphism and to perform association study of porcine AMBP (alpha-1-microglobulin/bikunin precursor), GC (group-specific component protein) and PPP1R3B (protein phosphatase 1, regulatory (inhibitor) subunit 3B) genes with meat quality traits as well as to unravel the transcriptional regulation of these genes by expression QTL (eQTL) study. For this purpose, Duroc × Pietrain F2 resource population (DuPi; n = 313) and a commercial breed Pietrain (Pi; n = 110) were used for association and only DuPi for expression and eQTL study. A SNP was identified in the genes AMBP (g.22229C>T), GC (g.398C>T) and PPP1R3B (c.479A>G), respectively. In DuPi SNP of AMBP was associated (P < 0.05) with meat colour, pH(1L), pH(24L), pH(24H) and conductivity(24L); SNP of GC showed tendency to association (P < 0.10) with pH24H, conductivity(1L) and thawing loss, and SNP of PPP1R3B was associated (P < 0.05) with meat colour, pH(1L), pH(24L), pH(24H) and shear force. In Pi SNPs of AMBP and GC was associated with pH(24H) and PPP1R3B SNP was associated with pH(24L). The mRNA levels in Longissimus dorsi muscle tissue of these three genes were evaluated by using qRT-PCR to identify association between gene expression and meat quality traits as well as to analyse eQTL. The mRNA expression of PPP1R3B associated with pH(24L) (P < 0.05). Expression of these three genes was higher in animals with low pH of muscle. Linkage analysis using QTL Express revealed ten trans-regulated eQTL on seven porcine autosomes. Suggestive eQTL [P < 0.05, CW (chromosome-wide)] were found for PPP1R3B on SSC3 and 13. These results revealed that genetic variation and gene expression of these genes are associated with the meat quality traits. These three genes could influence meat quality and could be potential positional, physiological and functional candidate gene for meat quality traits in pigs. However, the analysis of eQTL also suggested that we need to consider additional genes encoding for transcription factors (TF), via fine-mapping underlying the eQTL peaks, in order to understand interaction among these genes.

Six genes that were known to exhibit expression levels that are correlated to drip loss BVES, SLC3A2, ZDHHC5, CS, COQ9, and EGFR have been for candidate gene analysis. Based on in silico analysis SNPs were detected, confirmed by sequencing, and used for genotyping. The SNPs were genotyped in about 1,800 animals from six pig populations including commercial herds of Pietrain (PI) and German Landrace (DL), different commercial herds of Pietrain×(German Large White×German Landrace) (PIF1(a/b/c)), and one experimental F2-population Duroc×Pietrain (DUPI). Comparative and genetic mapping established the location of BVES on SSC1, of SLC3A2 and ZDHHC5 on SSC2, of CS on SSC5, of COQ9 on SSC6 and of EGFR on SSC9, respectively, coinciding with QTL regions for carcass and meat quality traits. BVES, SLC3A2, and CS revealed association at least with drip loss and with several other measures of water holding capacity (WHC). Moreover, COQ9 and EGFR were associated with several meat quality traits such as meat color and/or thawing loss. This study reveals statistic evidence in addition to the functional relationship of these genes to WHC previously evidenced by expression analysis. This study reveals positional and genetic statistical evidence for a link of genetic variation at these loci or close to them and promotes those six candidate genes as functional and/or positional candidate genes for meat quality traits.

This study aimed to investigate the genes PPARGC1A (peroxisome proliferator-activated receptor gamma-coactivator 1A) and CAPNS1 (calpain small subunit 1) as candidate genes affecting meat quality traits in pigs. Four polymorphisms were identified in PPARCG1A and three in CAPNS1. The PPARGC1A polymorphism c.1288T>A was associated with pH and cooking loss in a F2 Duroc×Pietrain experimental cross (DuPi, n=313) and with pH values in Italian Large White (ILW, n=380) and Italian Landrace (ILA, n=158) populations (P<0.05). The CAPNS1 polymorphism c.429A>C was associated with pH and conductivity in DuPi and with meat color in ILA (P<0.05). PPARGC1A mRNA expression associated with drip loss (P<0.01) and the same tendency was found for CAPNS1 (P=0.06). The promoter methylation profiling suggested that methylation is not involved in CAPNS1 expression regulation. In conclusion, porcine PPARGC1A and CAPNS1 genes may affect meat quality traits, with breed-specific differences, and they could be used as markers for the improvement of meat quality in pigs., (Copyright © 2011 Elsevier Ltd. All rights reserved.)

The research aimed to screen for polymorphism, expression of Tenascin C (TNC) and association with meat and carcass quality traits. Three single nucleotide polymorphisms were detected. In a Duroc×Pietrain F2 cross (DuPi) population, g.44488C>T was associated with meat color and ham weight; g.68794A>G was associated with pH at 24h post mortem in ham (pH24(H)) and muscle area but g.68841C>T was not statistically associated. Genotyping in a commercial Pietrain (Pi) population showed that g.44488C>T was associated with pH24(H), whereas g.68794A>G was associated with conductivity at 45 min post mortem in loin and backfat thickness. Diplotypes showed significant effects on pH24(H) in both populations. The expression was associated with pH at 45 min post mortem in loin and cooking loss. TNC was significantly higher in animals with higher muscle pH. Linkage analysis revealed four trans-regulated eQTL on four autosomes. These results suggest that TNC could be a potential candidate gene for meat quality traits in pigs., (Copyright © 2011 Elsevier Ltd. All rights reserved.)

The aim of this research was to screen for polymorphism and to perform an association study of IFI6 with meat and carcass quality traits. A SNP (g.370A>G) was detected which was associated (P<0.05) with meat colour, pH 24h post mortem (p.m.) in ham, conductivity 45 min p.m. in loin and conductivity 24 h p.m. in ham, drip loss and carcass length in Duroc x Pietrain and with meat colour, muscle area and ham percentage in the Pietrain population. Highest expression of IFI6 mRNA was detected in skeletal muscle (longissimus dorsi) by qRT-PCR comparing different tissues. Both qRT-PCR and western blot revealed that the IFI6 gene and protein expressions were significantly (P<0.05) higher in skeletal muscle with low drip loss compared to that of high drip loss. IFI6 protein was localized in the myocytes membrane. Results suggested that IFI6 might play roles in meat and carcass quality and is a potential positional, physiological and functional candidate gene for improving meat quality traits in pigs., (Copyright © 2011 Elsevier Ltd. All rights reserved.)

Background: Genetic analysis of transcriptional profiles is a promising approach for identifying and dissecting the genetics of complex traits like meat performance. Accordingly, expression levels obtained by microarray analysis were taken as phenotypes in a linkage analysis to map eQTL. Moreover, expression levels were correlated with traits related to meat quality and principle components with high loadings of these traits. By using an up-to-date annotation and localization of the respective probe-sets, the integration of eQTL mapping data and information of trait correlated expression finally served to point to candidate genes for meat quality traits., Results: Genome-wide transcriptional profiles of M. longissimus dorsi RNAs samples of 74 F2 animals of a pig resource population revealed 11,457 probe-sets representing genes expressed in the muscle. Linkage analysis of expression levels of these probe-sets provided 9,180 eQTL at the suggestive significance threshold of LOD > 2. We mapped 653 eQTL on the same chromosome as the corresponding gene and these were designated as 'putative cis-eQTL'. In order to link eQTL to the traits of interest, probe-sets were addressed with relative transcript abundances that showed correlation with meat quality traits at p ≤ 0.05. Out of the 653 'putative cis-eQTL', 262 transcripts were correlated with at least one meat quality trait. Furthermore, association of expression levels with composite traits with high loadings for meat quality traits generated by principle component analysis were taken into account leading to a list of 85 genes exhibiting cis-eQTL and trait dependent expression., Conclusion: Holistic expression profiling was integrated with QTL analysis for meat quality traits. Correlations between transcript abundance and meat quality traits, combined with genetic positional information of eQTL allowed us to prioritise candidate genes for further study.

The benefit of functional genomics is to identify key pathways and functional networks of genes and candidate genes underlying the genetic control of phenotypes. Genetical genomics, i.e. the integration of genetic analysis and expression phenotypes, has the potential to uncover regulatory networks controlling the coordinated expression of genes and to map variation on the level of DNA affecting the mRNA expression. Here we illustrate our own attempts to apply functional genomics and genetical genomics approaches in order to identify functional networks of genes relevant to traits related to meat performance. Expression data of 74 M longissimus dorsi samples obtained using Affymetrix GeneChips were correlated with drip loss and principal components (PCs) with high loadings of meat quality traits. Functional annotation analyses revealed that differences in water holding capacity, early pH decline and ultimate pH were related to the ubiquitin-proteasome system, mitochondrial metabolic pathways and muscle structural aspects. In particular, 1279 genes were correlated with drip loss (P

Four genes, VTN, KERA, LYZ, and a non-annotated EST (Affymetrix probe set ID: Ssc.25503.1.S1&#95;at), whose candidacy for traits related to water-holding capacity of meat arises from their trait-dependent differential expression, were selected for candidate gene analysis. Based on in silico analysis SNPs were detected, confirmed by sequencing and used to genotype animals of 4 pig populations including 3 commercial herds of Pietrain (PI), Pietrain x (German Large White x German Landrace) (PIF1), German Landrace (DL) and 1 experimental F2 population Duroc x Pietrain (DUPI). Comparative and genetic mapping established the location of VTN on SSC12, of LYZ and KERA on SSC5 and of UN on SSC7, coinciding with QTL regions for meat quality traits. VTN showed association with pH1, pH24 and drip loss. LYZ revealed association with conductivity 24, pH1 and drip loss. KERA was associated with pH. UN showed association with pH24 and drip loss, respectively. However, none of the candidate genes showed significant associations for a particular trait across all populations. This may be due to breed specific effects that are related to the differences in meat quality of theses pig breeds. The studies revealed statistic evidence for a link of genetic variation at these loci or close to them and promoted those four candidate genes as functional and/or positional candidate genes for meat quality traits.

Zyxin (ZYX) is one of the proteins in focal adhesions along the actin fibers playing a role in actin organization and signal transduction. By radiation hybrid and genetic mapping we assigned ZYX to porcine chromosome 18 in the area of quantitative traits loci for carcass and meat quality and muscle fiber traits and hence considered ZYX a functional positional candidate gene. Analysis of a newly detected SNPs (c.+279 C>T, c.+399 A>G, c.+522 A>G) in pigs from different commercial breeds (Pietrain [Pi], German Landrace [LR], German Large White x German Landrace [F1] and PiF1) revealed a significant association with carcass traits (including: side- and backfat thickness, loin weight and carcass lean content) and meat quality traits (including: pH, color and drip loss). However, the lack of consistent association across all pig populations in this study indicates that the association of the SNPs may be depending on causal mutations in linkage disequilibrium and/or interactions with other loci.

The beta-2 adrenergic receptor (AR) mediates metabolic actions of catecholamines, including glycogenolysis, lipolysis and proteolysis, in muscle and adipose tissue. Factors influencing the density of beta-2 ARs thus might affect carcass composition and meat quality. One such factor might represent cis-regulatory DNA variation affecting mRNA expression of the adrenergic receptor beta 2 (ADRB2) gene in relevant tissues. To identify potential cis-regulatory DNA variation of porcine ADRB2, we comparatively sequenced part of the 5' flanking region and identified 10 single nucleotide polymorphisms (SNPs). The SNP at position g.673C>T (AF000134) resides in an evolutionarily conserved region (ECR) in an in silico predicted androgen response element. Quantification of total transcript levels and allelic expression imbalance (AEI) revealed significant variability in mRNA expression of ADRB2 in longissimus dorsi muscle of slaughter pigs, partly attributable to cis-regulatory DNA variation. However, the g.673C>T SNP has, in the given temporo-spatial context, no significant effect but is apparently in linkage disequilibrium with the causal cis-regulatory DNA variant. We used the g.673C>T SNP as a marker to study the association of ADRB2 variation with carcass and meat quality in four commercial lines. We found association with the pH of loin at 45 min and 24 h postmortem (p.m.) and with the pH of ham at 24 h p.m. Supporting evidence for ADRB2 as a candidate gene for pork quality is provided by our assignment of the gene to the telomeric end of the q arm of porcine chromosome 2, where several quantitative trait loci for meat quality were reported.

Linkage analyses enable identifying genomic regions that exhibit quantitative trait loci (QTL) without prior hypothesis on the physiology of a trait. Function-oriented expression analyses are a complementary approach to derive hypothesis on the genetic background of phenotypic variation. Muscle fibre types and size affect body composition and meat quality traits. The number and proportion of muscle fibres are to a large extent determined during the prenatal development. Consequently, QTL for muscle fibre, meat quality and carcass traits were detected in a porcine experimental population based on Duroc and Berlin Miniature Pig. Regions with either significant QTL for muscle fibre traits or significant QTL for meat quality and muscularity or both were detected on SSC1, 2, 3, 4, 5, 13, 14, 15 and 16. Here, effects on the complex traits of muscularity and meat quality might be the result of genetic variation primarily affecting fibre type distribution traits. To complement the QTL study expression profiling of prenatal muscle tissue of Duroc and Pietrain was conducted that revealed a list of functional candidate genes for meat quality and carcass traits of various physiological networks. Assignments of these genes to QTL regions highlight them as positional functional candidates. Exemplarily, five genes were analysed further and shown to be associated with meat quality and carcass traits. Further, the relative MYH isotype transcript abundance was found to be associated with muscularity. Relative MYH isotype transcript abundance is proposed as a new phenotype to unravel the genetic background of variation in traits related to muscle and meat properties.

Ten genes (ANK1, bR10D1, CA3, EPOR, HMGA2, MYPN, NME1, PDGFRA, ERC1, TTN), whose candidacy for meat-quality and carcass traits arises from their differential expression in prenatal muscle development, were examined for association in 1700 performance-tested fattening pigs of commercial purebred and crossbred herds of Duroc, Pietrain, Pietrain x (Landrace x Large White), Duroc x (Landrace x Large White) as well as in an experimental F(2) population based on a reciprocal cross of Duroc and Pietrain. Comparative sequencing revealed polymorphic sites segregating across commercial breeds. Genetic mapping results corresponded to pre-existing assignments to porcine chromosomes or current human-porcine comparative maps. Nine of these genes showed association with meat-quality and carcass traits at a nominal P-value of < or = 0.05; PDGFRA revealed no association reaching the P < or = 0.05 threshold. In particular, HMGA2, CA3, EPOR, NME1 and TTN were associated with meat colour, pH and conductivity of loin 24 h postmortem; CA3 and MYPN exhibited association with ham weight and lean content (FOM) respectively at P-values of < 0.003 that correspond to false discovery rates of < 0.05. However, none of the genes showed significant associations for a particular trait across all populations. The study revealed statistical-genetic evidence for association of the functional candidate genes with traits related to meat quality and muscle deposition. The polymorphisms detected are not likely causal, but markers were identified that are in linkage disequilibrium with causal genetic variation within particular populations.

We performed a genome-wide QTL scan for production traits in a line cross between Duroc and Pietrain breeds of pigs, which included 585 F(2) progeny produced from 31 full-sib families genotyped with 106 informative microsatellites. A linkage map covering all 18 autosomes and spanning 1987 Kosambi cM was constructed. Thirty-five phenotypic traits including body weight, growth, carcass composition and meat quality traits were analysed using least square regression interval mapping. Twenty-four QTL exceeded the genome-wide significance threshold, while 47 QTL reached the suggestive threshold. These QTL were located at 28 genomic regions on 16 autosomal chromosomes and QTL in 11 regions were significant at the genome-wide level. A QTL affecting pH value in loin was detected on SSC1 between marker-interval S0312-S0113 with strong statistical support (P < 3.0 x 10(-14)); this QTL was also associated with meat colour and conductivity. QTL for carcass composition and average daily gain was also found on SSC1, suggesting multiple QTL. Seventeen genomic segments had only a single QTL that reached at least suggestive significance. Forty QTL exhibited additive inheritance whereas 31 QTL showed (over-) dominance effects. Two QTL for trait backfat thickness were detected on SSC2; a significant paternal effect was found for a QTL in the IGF2 region while another QTL in the middle of SSC2 showed Mendelian expression.

We have previously identified and mapped porcine expressed sequence tags (ESTs) derived from genes that are preferentially expressed in liver. The aim of the present study was to identify single nucleotide polymorphisms (SNPs) in porcine genes encoding enzymes in hepatic metabolic pathways and use the SNPs for mapping. Furthermore, these genes, which are involved in utilization and partitioning of nutrients, were examined for their effects on carcass and meat quality traits by linkage analyses. In total, 100 ESTs were screened for SNPs by single strand conformation polymorphism analyses across a diverse panel of animals with a 36% success rate. Twelve of 36 polymorphic loci segregated in a three-generation Duroc x Berlin Miniature Pig (F2) resource population, the DUMI resource population, and were genetically mapped. Interval mapping of the corresponding chromosomes was performed to verify mapping of the genes within quantitative trait loci (QTL) regions detected in this resource population. QTL with genome-wide significance were detected in the vicinity of GNMT, ESTL147 and HGD. These loci therefore are positional candidate genes.

Principal component analysis of traits related to carcass and meat properties were combined with microarray expression data for the identification of functional networks of genes and biological processes taking place during the conversion of muscle to meat. Principal components (PCs) with high loadings of meat quality traits were derived from phenotypic data of 572 animals of a porcine crossbreed population. Microarray data of 74 M. longissimus dorsi samples were correlated with PC datasets. Lists of significantly correlated genes were analyzed for enrichment of functional annotation groups as defined in the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes databases as well as the Ingenuity Pathways Analysis library. Ubiquitination, phosphorylation, mitochondrion dysfunction, actin, integrin, platelet-derived growth factor, epidermal growth factor, vascular endothelial growth factor, and Ca signaling pathways are correlated with meat quality. Among the significantly trait-associated genes, CAPZB, ANKRD1, and CTBP2 are promoted as candidate genes for meat quality that provide a link between the highlighted pathways. Knowledge of the relevant biological processes and the differential expression of members of the pathway will provide tools that are predictive for traits related to meat quality and that may also be diagnostic for many muscle defects or damages including muscle atrophy, dystrophy, and hypoxia. [ABSTRACT FROM AUTHOR]