B. Moioli

Exploring polymorphisms and effects of candidate genes on milk fat quality in dairy sheep

The aim of the present study was to investigate the genetic control of the fatty acid (FA) composition in milk from 3 breeds of sheep: Altamurana, Gentile di Puglia, and Sarda. Single nucleotide polymorphisms within genes, encoding enzymes putatively involved in the synthesis and metabolism of milk fat, were selected for analysis, and the allele substitution effects were determined for 16 genes, which were polymorphic in the 3 sheep breeds, upon the milk fat composition. Four genes (alpha-1-antichymotrypsin-2; diacylglycerol O-acyltransferase homolog-2; propionyl Coenzyme A carboxylase, beta polypeptide; and insulin-like growth factor-I) play a role in the desaturation of stearic FA into polyunsaturated fatty acids. Furthermore, 2 genes (growth hormone receptor and zona pellucida glycoprotein-2) affect the variability of the total fat content in addition to the butyric and stearic FA profile, and the fatty acid synthetase gene has an influence on the medium-chain FA. Milk FA profiles play an important role in dairy sheep farming because they have a large effect on cheese characteristics and also because sheep milk may be marketed as a source of nutraceuticals because it contains higher levels of conjugated linoleic acid than milk from other ruminants. The current study evaluated the global effects of a large number of single nucleotide polymorphisms and haplotypes on traits that are not commonly investigated in sheep but that are potentially very useful for improving milk quality.

Signatures of selection identify loci associated with milk yield in sheep

BackgroundIdentification of genomic regions that have been targets of selection for phenotypic traits is one of the most challenging areas of research in animal genetics, particularly in livestock where few annotated genes are available. In this study a genome-wide scan using the Illumina SNP50K Beadchip was performed in the attempt to identify genomic regions associated with milk productivity in sheep. The ovine genomic regions encoding putative candidate genes were compared with the corresponding areas in Bos taurus, as the taurine genome is better annotated.ResultsA total of 100 dairy sheep were genotyped on the Illumina OvineSNP50K Beadchip. The Fisher’s exact test of significance of differences of allele frequency between each pair of the two tails of the distribution of top/worse milk yielders was performed for each marker. The genomic regions where highly divergent milk yielders showed different allele frequencies at consecutive markers was extracted from the OAR v3.1 Ovine (Texel) Genome Assembly, and was compared to the corresponding areas in Bos taurus, allowing the detection of two genes, the Palmdelphin and the Ring finger protein 145. These genes encoded non-synonymous mutations correlated with the marker alleles.ConclusionThe innovation of this study was to show that the DNA genotyping with the Illumina SNP50K Beadchip allowed to detect genes, and mutations in the genes, which have not yet been annotated in the livestock under investigation.

Milk fatty acid variability: effect of some candidate genes involved in lipid synthesis.

In this work, the genetic variation of milk FA was investigated in three different bovine breeds, the Jersey, the Piedmontese and the Valdostana, and at different lactation stages. All animals were genotyped for 21 Single Nucleotide Polymorphisms located within nine candidate genes involved in lipid synthesis: diacylglycerol acyltransferase 1 and 2 (DGAT1, 2); stearoyl-CoA desaturase (SCD); growth hormone receptor (GHR); fatty acid synthase (FASN); acyl-CoA dehydrogenase (ACAD); fatty acid binding protein (FABP4); lipoprotein lipase (LPL); and leptin gene (LEP). The highest milk-fat Jersey breed also showed the highest content of saturated FA. Throughout lactation, the breeds showed a similar variation in the FA, with a decrease in the short-chain, this was accompanied by a general increase in the long chain FA at the end of lactation. The increase in long chain saturated FA was particularly evident in the case of the Jersey. The effect of SCD gene on the C14 desaturation index was confirmed; the DGAT1 gene was polymorphic only in the Jersey breed, but its effect was confirmed only on milk fat content; three further potential candidate genes were identified: first, the FABP4 gene, which was found to influence medium and long chain FA in all the breeds, but not the desaturation indices; second, the FASN gene, which was found to influence the amount of PUFA in the Piedmontese and the Valdostana, and third, the LPL gene, which was found to affect fat content in the Piedmontese.

Signatures of selection identify loci associated with fat tail in sheep.

Identification of genomic regions that have been targets of selection for phenotypic traits is one of the most challenging applications of dense marker panels in animal genetics. In this study, a genomewide scan using approximately 50,000 SNP was performed in an attempt to identify genomic regions associated with fat deposition in sheep, the importance of this not only being limited to livestock facing future climate changes but also for elucidating the physiology of lipid metabolism. The genotyping results obtained with the Ovine SNP50K BeadChip in 2 fat tail breeds were compared with those obtained in 13 thin tail breeds. Direct sequencing of the annotated genes located in proximity to the markers with opposite allele frequency in thin tail vs. fat tail sheep gave additional SNP of interest. To further confirm the results of the genomewide scan, we genotyped the SNP within these genes in the 2 groups of sheep. A missense mutation in the gene, with different allele frequency in the 2 groups, was detected. The results indicated and as the most probable genes involved in the fat tail phenotype.

Analysis of the genetic diversity between Gentile di Puglia, Sopravissana and Sarda sheep breeds using microsatellite markers

Abstract Two Italian sheep breeds – Gentile di Puglia and Sopravissana – have undergone a consistent decline in numbers and have been widely substituted by the Sarda breed, which gives higher milk yield. With the aim to provide a basis for conservation decisions, the genetic variability of the three breeds was investigated in this study. DNA of 60 animals was PCR amplified at the following microsatellite loci: CSSM43, CSSM47, CSSM60, TGLA110, TGLA122, TGLA126, TGLA377, ETH3, ETH10, ETH225, NRAMP1, OARCP20 and SPS115. Allele frequencies, gene diversity and genetic distances were calculated. The highest differences in allele frequencies were found at the following loci: TGLA377, TGLA122, NRAMP1, OARCP20 and ETH3, while at the other loci the most frequent alleles were the same. The average inbreeding rate was 0.156 in the Gentile di Puglia, 0.158 in the Sopravissana and 0.137 in the Sarda. Average gene diversity of the analysed microsatellites was 0.59. Genetic distance between Gentile di Puglia and Sopravissana (0.081) indicates moderate differentiation; distances between the Sarda and the endangered breeds – 0.111 from the Gentile di Puglia and 0.107 from the Sopravissana - indicate a medium-high differentiation rate. The disappearance of the two less productive breeds would entail a consistent loss of genetic diversity. The inbreeding values are low enough to allow the implementation of sound conservation programmes.

DNA Polymorphisms in River Buffalo Leptin Gene

Abstract Leptin is a protein involved in the regulation of feed intake, fat metabolism, whole body energy balance, reproduction and hematopoiesis. In cattle Leptin gene has been considered a potential QTL influencing several production traits like meat production, milk performance and reproduction. Several studies on bovine leptin gene have found association between polymorphisms and traits like milk yield, feed intake, fat content, carcass and meat quality. With the aim to assess the presence of sequences polymorphisms in the Buffalo leptin gene, we sequenced the entire coding region and part of the introns on a panel of Italian River Buffalos. In this study we identified a new set of SNP (Single Nucleotide Polymorphism) useful for association studies.

Genomic scan for identifying candidate genes for paratuberculosis resistance in sheep

Breeding objectives relating to health, functional traits and welfare need to receive priority in the research programs and selection schemes, but very few reports are available on natural resistant genotypes in livestock, where some important diseases cause severe economic losses and pose serious zoonotic threats. In this study, diagnosis of paratuberculosis was performed on 759 adult sheep, from a single flock, with the serum antibody enzyme-linked immunosorbent assay; 100 sheep were selected among the extreme divergent animals for the S/P ratio obtained from the test, and were genotyped on the Illumina Ovine SNP50K BeadChip. A genome-wide scan was then performed on the individual marker genotypes, in the attempt to identify genomic regions associated with disease resistance in sheep. For each marker, the allelic substitution effect was calculated by regressing the S/P value on the number of copies of the reference allele. The position on the OARv3.1 Genome Assembly was searched for 32 markers, which showed a statistically significant allelic substitution effect (Raw P < 0.0006 and FDR P < 0.09). All markers were located within, or close to, annotated genes. Five of these genes, SEMA3, CD109, PCP4, PRDM2 and ITFG2 are referred in literature to play a role in either disease resistance or cell-mediated immune response.

Leptin gene haplotypes are associated with change in immunological and hematological variables in dairy cow during the peripartum period.

In this study, the effect of polymorphisms in the leptin gene on the hematological variables in periparturient dairy cows was investigated. The hematological profile of 67 Holstein cows was assessed for 6 wk around calving. The DNA of the cows was genotyped at 6 polymorphic loci within the leptin gene, and 7 haplotypes were reconstructed. Significant haplotype substitution effects were found, for haplotype 1, on total white blood cell count for 2 wk around calving (+0.70 10(3)/μL, P = 0.05; +1.38 10(3)/μL, P = 0.0001); on neutrophil cell count in the first week after calving (+0.94 10(3)/μL, P = 0.001); on lymphocyte count during the 3 wk before and the first week after calving (+0.32 10(3)/μL, P = 0.05; +0.27 10(3)/μL, P = 0.03; +0.26 10(3)/μL, P = 0.04; +0.34 10(3)/μL, P = 0.01); on red blood cell count during the last week before calving and wk 1 and 2 after calving (+0.21 10(6)/μL, P = 0.02; +0.23 10(6)/μL, P = 0.01; +0.20 10(6)/μL, P = 0.03); on mean corpuscular volume (-1.35 fL, P = 0.01; -1.29 fL, P = 0.002; -1.18 fL, P = 0.004; -1.09 fL, P = 0.008; -1.23 fL, P = 0.003; -1.31 fL, P = 0.003); and on mean corpuscular hemoglobin (-0.37 pg, P = 0.05; -0.38 pg, P = 0.02; -0.39 pg, P = 0.01; -0.34 pg, P = 0.03; -0.40 pg, P = 0.01; -0.40 pg, P = 0.01) during all 6 wk analyzed. Significant haplotype substitution effects, but opposite those of haplotype-1, were found for haplotype-2 on white blood cell count (-1.10 10(3)/μL, P = 0.01; -1.30 10(3)/μL, P = 0.002; -1.09 10(3)/μL, P = 0.01) and neutrophil count (-0.82 10(3)/μL, P = 0.02; -0.95 10(3)/μL, P = 0.005; -0.92 10(3)/μL, P = 0.01). Haplotype-3 influenced red blood cell count (-0.23 10(6)/μL, P = 0.03; -0.28 10(6)/μL, P = 0.01; -0.34 10(6)/μL, P = 0.002) during the last 2 wk before and the first week after calving, and also, with effects evident only in wk 3 and 2 before calving, mean corpuscular volume (+1.38 fL, P = 0.03; +0.97 fL, P = 0.05; +1.08 fL, P = 0.05), mean corpuscular hemoglobin (+0.58 pg, P = 0.02; +0.38 pg, P = 0.04; 0.51 pg, P = 0.01), and red blood cell distribution width (-0.56% P = 0.02; -0.47%, P = 0.05). The current study provided evidence that several polymorphisms in the leptin gene play a role in the variability of hematological variables during the peripartum period, and might be used as genetic markers for improving the immunological conditions of dairy cows in critical productive periods.

Efficiency of different spectroscopies and the Electronic Nose techniques for the characterization of milk

Abstract Four rapid methods, which are complementary to the usual MIR-based analyses, were compared in order to characterize local milk products. A set of 278 fresh samples from four separately reared Jersey, Piemontese and Valdostana cattle and Saanen goat herds was analyzed by: Fluorescence Spectroscopy, Electronic Nose, UV-Vis-NIRS and FT-NIRS (total 5851 digits by record). The Gross Composition and Fatty Acid composition were determined at the same time. Chemometric analysis of the digital measurements and of the milk composition was performed by discriminant PLS regression over the four herds. The average R2 cross-validated values of the six discriminant contrasts were lower for the Gross Composition (0.47), very high for the FT-NIRS scans (0.97), for the Fatty Acids (0.96), and also high for the Fluorescence (0.90) and the UV-Vis-NIRS evaluation (0.89), while the Electronic Nose gave lower distinction between the groups (0.64). The patterns based on the distance matrix showed a remarkable complementarity between the Gross Composition evaluation and the rapid methods, which were close to the Fatty Acids evaluation. The FT-NIRS and Fluorescence analyses converged together, clustering the Jersey & Piemontese, the Valdostana and then the Goat milk. The Jersey-Piemontese cluster was also confirmed by EN. The UV-Vis-NIRS appraisal, distinguished the Piemontese milk more clearly, while it paired the Jersey and Valdostana milk. These rapid methods could be of great interest in the milk research.

A selective genotyping approach identifies QTL in a simulated population

BackgroundIdentification of QTLs for important phenotypic traits, through the use of medium-density genome-wide SNP panels, is one of the most challenging areas in animal genetics, for preventing the time-consuming direct sequencing of putative candidate genes, when searching for the mutations that affect the trait. Appropriate statistical analyses allow the identification of genomic regions associated with the investigated trait in the genotyped population.MethodsThe selective genotyping technique was applied to 1000 genotyped animals with known phenotype. Sliding windows composed of five consecutive SNPs were created for each chromosome; we assumed that the QTLs were encoded by the windows showing the highest difference in the frequency of the same alleles between the most divergent productive groups (the two tails of the distribution).ResultsTen windows affected at least one trait. For five of these windows, the highest and significant effect was given by one only SNP, which could therefore be taken as the QTL itself.ConclusionsIn this study we proposed a simple method to identify genomic regions associated to the phenotype under study. The identification of the DNA region is the first step to search for the mutation which is really responsible for the trait variability, through the direct sequencing of the genome regions that encode the QTL.