Association of CAST gene polymorphism with carcass value and meat quality in two synthetic lines of sheep

The aim of study was to estimate genotype frequencies of the polymorphism in the intron 12 of CAST gene of growing lambs, and to evaluate associations between the CAST genotype and carcass and meat traits. A total number of 317 rams representing the synthetic BCP (163) and SCP (154) meaty lines were genotyped by the RFLP/MspI/NcoI/Hin6I. Three genotypes including "aa", "ae" and "ac" with most frequencies of 0.48, 0.27 and 0.19, were observed in whole population. Lambs with the "aa" CAST genotype showed the highest muscle percentage and the lowest fat percentage in the hind legs. On the other hand, the loins of rams with "ac" genotype had the highest intramuscular fat content, indicative of beneficial health-related properties and technological usefulness. However, differences between CAST genotype stated for the sensory properties, texture and thawing and cooking losses of the meat were insignificant. Breeding efforts aimed at the improvement of lamb meat quality should prioritize the selection of the "ac" genotype.

Association of CAPN1 316, CAPN1 4751 and TG5 markers with bovine meat quality traits in Mexico

We examined allele and genotype frequencies for the molecular markers CAPN1 316, CAPN1 4751 and TG5, and determined whether they are associated with beef quality traits in Mexican cattle. One hundred and twenty-four longissimus dorsi muscle samples were collected from cattle from north, central and southern Mexico. CAPN1 316 and CAPN1 4751 frequencies were determined using the allelic discrimination assay and the TG5 marker was typed by PCR-RFLP. Meat quality traits included intramuscular fat content (IMF) and tenderness determined by Warner-Bratzler shear force (WBSF) at 24 h postmortem. The association test was made using a mixed model, including genotypes, genetic group, and sampling location as fixed effects. Least squares means and significant interactions were compared using least significant differences based on the mixed procedure. CAPN1 316 CC was found at a low frequency (0.03) and has been reported as a favorable genotype associated with tenderness meat. Genotype frequencies for CAPN1 4751 were similar in favorable (CC) and unfavorable (TT) genotypes (0.26 and 0.28, respectively). The TG5 CC genotype had a frequency of 0.73, while the TT genotype frequency was 0.01. The means for WBSF and IMF were 4.08 ± 1.35 kg and 5.23 ± 2.14%, respectively. Sampling site and the CAPN1 316 genotypes significantly affected WBSF (P < 0.05). Samples collected from Hermosillo, Sonora, had the lowest WBSF (P < 0.05), while those collected in Veracruz were toughest (WBSF = 5.267 kg). The effect of GG and TG5 genotypes on IMF was significant (P < 0.05). CAPN1 316 and TG5 markers were found to be significantly associated with beef quality traits and thus will be useful for Mexican beef characterization.

A genome-wide association study of tick burden and milk composition in cattle

To study the genetic basis of tick burden and milk production and their interrelationship, we collected a sample of 1961 cattle with multiple tick counts from northern Australia of which 973 had dairy production data in the Australian Dairy Herd Information Service database. We calculated heritabilities, genetic and phenotypic correlations for these traits and showed a negative relationship between tick counts and milk and milk component yield. Tests of polymorphisms of four genes associated with milk yield, ABCG2, DGAT1, GHR and PRLR, showed no statistically significant effect on tick burden but highly significant associations to milk component yield in these data and we confirmed separate effects for GHR and PRLR on bovine chromosome 20. To begin to identify some of the molecular genetic bases for these traits, we genotyped a sample of 189 of these cattle for 7397 single nucleotide polymorphisms in a genome-wide association study. Although the allele effects for adjusted milk fat and protein yield were highly correlated (r = 0.66), the correlations of allele effects of these milk component yields and tick burden were small (|r| ≤ 0.10). These results agree in general with the phenotypic correlations between tick counts and milk component yield and suggest that selection on markers for tick burden or milk component yield may have no undesirable effect on the other trait.

Effect of single nucleotide polymorphisms of CAPN1 and CAST genes on meat traits in Nellore beef cattle (Bos indicus) and in their crosses with Bos taurus

The objectives of this work were to study the segregation of single nucleotide polymorphisms of the calpain 1, large subunit (CAPN1) and calpastatin (CAST) genes in Nellore (Bos indicus) and Nellore xBos taurus beef cattle, as well as to evaluate their effects on meat traits. For this, 300 animals, including 114 Nellore, 67 Angus x Nellore, 44 Rubia Gallega x Nellore, 41 Canchim, 19 Brangus three-way crosses and 15 Braunvieh three-way crosses, were genotyped for the CAPN4751 [AF_248054.2:g.6545C>T (GenBank accession AF248054.2)] and CAST/DdeI [AF_159246.1:g.2959A>G (GenBank accession AF159246.1)] polymorphisms and phenotyped for Ribeye Area, Backfat Thickness, Intramuscular Fat, Shear Force (SF) and Myofibrillar Fragmentation Index (MFI). In relation to the CAPN4751 polymorphism, a frequency of 10.5% was observed for the C allele in the Nellore breed. In the total sample of studied animals, a significant association was found between genotypes and meat tenderness, assessed by SF (P = 0.005) and MFI (P = 0.008), with genotype CT being more favourable than TT. For the CAST/DdeI polymorphism, a frequency of 55.7% was found for the A allele in the Nellore breed. In the total sample, a significant association was observed between genotypes and meat tenderness - SF (P = 0.004) and MFI (P = 0.006), with genotype AA being more favourable than AG. The relationship between genotypes and aged meat tenderness in confluence with the distribution of favourable alleles shows great potential for application of the CAPN4751 and CAST/DdeI polymorphisms in the genetic improvement of the Nellore breed, whilst contributing to the validation, in this breed and in its crosses with B. taurus, of the association results previously described in the literature.

Variation at CPE but not CEBPA appears to be associated with intramuscular fat deposition in the longissimus muscle of cattle

An important step in the localisation of quantitative trait loci is the confirmation of trait-marker associations in independent studies. In this report, we test three single nucleotide polymorphisms (SNP) of two genes for associations to intramuscular fat (IMF) measurements in cattle. We genotyped SNP of carboxypeptidase E (CPE) and ccaat/enhancer binding protein, α (CEBPA) in a sample of a total of 813 cattle of taurine, composite and indicine breeds. All three polymorphisms showed significant differences between breeds, with the widest range found in CEBPA:g.271A > C where the A allele frequency ranged from P = 0.07 in Brahman to 0.88 in Shorthorn. The taurine breeds showed high linkage disequilibrium between the pair of CPE SNP, with all four breeds showing r2 = 1.0. The Brahman and Santa Gertrudis showed r2 ≤ 0.17. Both CPE:g.445C > T and CPE:g.601C > T SNP showed significant allele substitution effects to IMF in animals of taurine ancestry, with an allele substitution effect of α = 0.22, P = 0.020 for CPE:g.445C > T, explaining 0.4% of the phenotypic variance.

Application of gene expression studies in livestock production systems: a European perspective

In the context of sustainable agriculture and animal husbandry, understanding animal physiology remains a major challenge in the breeding and production of livestock, especially to develop animal farming systems that respond to the new and diversified consumer demand. Physiological processes depend on the expression of many genes acting in concert. Considerable effort has been expended in recent years on examining the mechanisms controlling gene expression and their regulation by biological and external factors (e.g. genetic determinants, nutritional factors, and animal management). Two main strategies have been developed to identify important genes. The first one has focussed on the expression of candidate genes for key physiological pathways at the level of both the transcripts and proteins. An original strategy has emerged with the advent of genomics that addresses the same issues through the examination of the molecular signatures of all genes and proteins using high-throughput techniques (e.g. transcriptomics and proteomics). In this review, the application of the gene expression studies in livestock production systems is discussed. Some practical examples of genomics applied to livestock production systems (e.g. to optimise animal nutrition, meat quality or animal management) are presented, and their outcomes are considered. In the future, integration of the knowledge gained from these studies will finally result in optimising livestock production systems through detection of desirable animals and their integration into accurate breeding programs or innovative management systems.

A validated whole-genome association study of efficient food conversion in cattle

The genetic factors that contribute to efficient food conversion are largely unknown. Several physiological systems are likely to be important, including basal metabolic rate, the generation of ATP, the regulation of growth and development, and the homeostatic control of body mass. Using whole-genome association, we found that DNA variants in or near proteins contributing to the background use of energy of the cell were 10 times as common as those affecting appetite and body-mass homeostasis. In addition, there was a genic contribution from the extracellular matrix and tissue structure, suggesting a trade-off between efficiency and tissue construction. Nevertheless, the largest group consisted of those involved in gene regulation or control of the phenotype. We found that the distribution of micro-RNA motifs was significantly different for the genetic variants associated with residual feed intake than for the genetic variants in total, although the distribution of promoter sequence motifs was not different. This suggests that certain subsets of micro-RNA are more important for the regulation of this trait. Successful validation depended on the sign of the allelic association in different populations rather than on the strength of the initial association or its size of effect.

Capturing benefits from the bovine genome sequence

The bovine genome sequence in ‘draft’ form will be complete in 2007. The availability of the sequence and very large numbers of single nucleotide polymorphisms will have profound effects on livestock production. The dairy industry is well positioned to capture the benefits of this enormous and enabling resource because of its comprehensive databases containing phenotypic and pedigree data for large numbers of animals, intense utilisation of genetics in breeding programs and efficient management of reproductive performance. The bovine genome sequence will assist in the development of novel products, especially value-added products, and markedly enhance the rate of genetic gain in the Australian dairy population. The immediate challenge facing the industry is the integration of new technological capabilities into existing breeding programs and production systems.

Validation of commercial DNA tests for quantitative beef quality traits

Associations between 3 commercially available genetic marker panels (GeneSTAR Quality Grade, GeneSTAR Tenderness, and Igenity Tender-GENE) and quantitative beef traits were validated by the US National Beef Cattle Evaluation Consortium. Validation was interpreted to be the independent confirmation of the associations between genetic tests and phenotypes, as claimed by the commercial genotyping companies. Validation of the quality grade test (GeneSTAR Quality Grade) was carried out on 400 Charolais x Angus crossbred cattle, and validation of the tenderness tests (GeneSTAR Tenderness and Igenity Tender-GENE) was carried out on over 1,000 Bos taurus and Bos indicus cattle. The GeneSTAR Quality Grade marker panel is composed of 2 markers (TG5, a SNP upstream from the start of the first exon of thyroglobulin, and QG2, an anonymous SNP) and is being marketed as a test associated with marbling and quality grade. In this validation study, the genotype results from this test were not associated with marbling score; however, the association of substituting favorable alleles of the marker panel with increased quality grade (percentage of cattle grading Choice or Prime) approached significance (P < or = 0.06), mainly due to the effect of 1 of the 2 markers. The GeneSTAR Tenderness and Igenity TenderGENE marker panels are being marketed as tests associated with meat tenderness, as assessed by Warner-Bratzler shear force. These marker panels share 2 common mu-calpain SNP, but each has a different calpastatin SNP. In both panels, there were highly significant (P < 0.001) associations of the calpastatin marker and the mu-calpain haplotype with tenderness. The genotypic effects of the 2 tenderness panels were similar to each other, with a 1 kg difference in Warner-Bratzler shear force being observed between the most and least tender genotypes. Unbiased and independent validation studies are important to help build confidence in marker technology and also as a potential source of data required to enable the integration of marker data into genetic evaluations. As DNA tests associated with more beef production traits enter the marketplace, it will become increasingly important, and likely more difficult, to find independent populations with suitable phenotypes for validation studies.

The effect of genetic variation of the retinoic acid receptor-related orphan receptor C gene on fatness in cattle

Genotypes at the retinoic acid receptor-related orphan receptor C (RORC) gene were associated with fatness in 1750 cattle. Ten SNPs were genotyped in RORC and the adjacent gene leucine-rich repeat neuronal 6D (LRRN6D) to map the QTL, 7 of which are in a 4.2-kb sequence around the ligand-binding domain of the RORC gene. Of the 29 inferred haplotypes for these SNPs, 2 have a combined frequency of 54.6% while the top 5 haplotypes have a combined frequency of 85.3%. The average D' value of linkage disequilibrium was 0.92 although the average r2 was a low 0.18. The RORC:g.3290T>G SNP had the strongest association with marbling. The inferred haplotypes were significantly associated with marbling and the difference between the most divergent haplotypes was 0.35 sigma(p) of marbling and 0.28 sigma(p) of rump fat, explaining the previously reported QTL effect. cDNA for RORC were sequenced and 2 new alternative transcripts were found. Fetal tissue shows 40 times greater transcription of RORC than adult tissue. The highest expression in fetal tissue was found in liver and kidney, but in adults the longissimus muscle had the greatest expression of the tissues tested.

Detecting quantitative trait loci affecting beef tenderness on bovine chromosome 7 near calpastatin and lysyl oxidase

From a study of 3 large half-sib families of cattle, we describe linkage between DNA polymorphisms on bovine chromosome 7 and meat tenderness. Quantitative trait loci (QTL) for Longissimus lumborum peak force (LLPF) and Semitendonosis adhesion (STADH) were located to this map of DNA markers, which includes the calpastatin (CAST) and lysyl oxidase (LOX) genes. The LLPF QTL has a maximum lodscore of 4.9 and allele substitution of approximately 0.80 of a phenotypic standard deviation, and the peak is located over the CAST gene. The STADH QTL has a maximum lodscore of 3.5 and an allele substitution of approximately 0.37 of a phenotypic standard deviation, and the peak is located over the LOX gene. This suggests 2 separate likelihood peaks on the chromosome. Further analyses of meat tenderness measures in the Longissimus lumborum, LLPF and LL compression (LLC), in which outlier individuals or kill groups are removed, demonstrate large shifts in the location of LLPF QTL, as well as confirming that there are indeed 2 QTL on bovine chromosome 7. We found that both QTL are reflected in both LLPF and LLC measurements, suggesting that both these components of tenderness, myofibrillar and connective tissue, are detected by both measurements in this muscle.

Breeding strategies for the development of the Australian beef industry: an overview

Strategic directions for the period 2010 to 2020 and research and development needs are considered for the Australian Beef Industry from the breeding sector’s perspective. These are related to the way major technologies are developed for an industry, the current status and likely trends in market development and appropriation of benefits to the consumer, processor, commercial beef producer and breeding sectors. The primary strategic needs identified are: (i) understand the functional biology for the major production environments (supply chain packages), (ii) accelerate the speed of genetic improvement for production environment breeding goals based on commercial sector profitability and the dissemination of superior genetic material to this sector, and (iii) retain and develop the Beef Cooperative Research Centre concept over the period. Tactics for realising each strategy are considered. Rigorously designed industry-level studies based on a genotype × environment interaction approach, involving all major production environments and breeds, have an important role to play, as do the serial development of measuring equipment and procedures for carcass quality and yield, body maintenance, disease management and maternal performance. Information and communication, molecular genetics and artificial insemination technologies, along with formal progeny testing and an extended BREEDPLAN system, will be increasingly used by the breeding as well as commercial industry sectors to more consistently meet particular market demands. Carefully executed progeny testing is a pragmatic and necessary breeding approach for the period, serving a number of important purposes. The beef industry as a whole will need to take more responsibility for its genetic improvement element by: managing the appropriation of benefits across sectors, developing an increasingly effective system of value-based marketing and, for each sector and production environment, a more appropriate program of capacity building. The industry could now usefully consider the further development of its activity to address these longer-term strategic needs.