Hubert Levéziel

A medium-density genetic linkage map of the bovine genome

A cattle genetic linkage map was constructed which covers more than 95 percent of the bovine genome at medium density. Seven hundred and forty six DNA polymorphisms were genotyped in cattle families which comprise 347 individuals in full sibling pedigrees. Seven hundred and three of the loci are linked to at least one other locus. All linkage groups are assigned to chromosomes, and all are orientated with regards to the centromere. There is little overall difference in the lengths of the bull and cow linkage maps although there are individual differences between maps of chromosomes. One hundred and sixty polymorphisms are in or near genes, and the resultant genome-wide comparative analyses indicate that while there is greater conservation of synteny between cattle and humans compared with mice, the conservation of gene order between cattle and humans is much less than would be expected from the conservation of synteny. This map provides a basis for high-resolution mapping of the bovine genome with physical resources such as Yeast and Bacterial Artificial Chromosomes as well as providing the underpinning for the interpolation of information from the Human Genome Project.USDA-MARC family and data for validating this family. P. Creighton, C. Skidmore, T. Holm, and A. Georgoudis provided some validation data for the BOVMAP families. R. Fries, S. Johnson, S. Solinas Toldo, and A. Mezzelani kindly made some of their FISH assignments available before publication. We wish to thank all those researchers who kindly sent us probes and DNA primers.

A set of 99 cattle microsatellites: characterization, synteny mapping, and polymorphism

Cattle microsatellite clones (136) were isolated from cosmid (10) and plasmid (126) libraries and sequenced. The dinucleotide repeats were studied in each of these sequences and compared with dinucleotide repeats found in other vertebrate species where information was available. The distribution in cattle was similar to that described for other mammals, such as rat, mouse, pig, or human. A major difference resides in the number of sequences present in the bovine genome, which seemed at best one-third as large as in other species. Oligonucleotide primers (117 pairs) were synthesized, and a PCR product of expected size was obtained for 88 microsatellite sequences (75%). Synteny or chromosome assignment was searched for each locus with PCR amplification on a panel of 36 hamster/bovine somatic cell hybrids. Of our bovine microsatellites, eighty-six could be assigned to synteny groups of chromosomes. In addition, 10 other microsatellites—HEL 5, 6, 9, 11, 12, 13 (Kaukinen and Varvio 1993), HEL 4, 7, 14, 15—as well as the microsatellite found in the κ-casein gene (Fries et al. 1990) were mapped on the hybrids. Microsatellite polymorphism was checked on at leat 30 unrelated animals of different breeds. Almost all the autosomal and X Chr microsatellites displayed polymorphism, with the number of alleles varying between two and 44. We assume that these microsatellites could be very helpful in the construction of a primary public linkage map of the bovine genome, with an aim of finding markers for Economic Trait Loci (ETL) in cattle.

Detection of genes influencing economic traits in three French dairy cattle breeds

A project of QTL detection was carried out in the French Holstein, Normande, and Montbéliarde dairy cattle breeds. This granddaughter design included 1 548 artificial insemination bulls distributed in 14 sire families and evaluated after a progeny-test for 24 traits (production, milk composition, persistency, type, fertility, mastitis resistance, and milking ease). These bulls were also genotyped for 169 genetic markers, mostly microsatellites. The QTL were analysed by within-sire linear regression of daughter yield deviations or deregressed proofs on the probability that the son receives one or the other paternal QTL allele, given the marker information. QTL were detected for all traits, including those with a low heritability. One hundred and twenty QTL with a chromosome-wise significance lower than 3% were tabulated. This threshold corresponded to a 15% false discovery rate. Amongst them, 32 were genome-wise significant. Estimates of their contribution to genetic variance ranged from 6 to 40%. Most substitution effects ranged from 0.6 to 1.0 genetic standard deviation. For a given QTL, only 1 to 5 families out of 14 were informative. The confidence intervals of the QTL locations were large and always greater than 20 cM. This experiment confirmed several already published QTL but most of them were original, particularly for non-production traits.

Combined analysis of data from two granddaughter designs: A simple strategy for QTL confirmation and increasing experimental power in dairy cattle

A joint analysis of five paternal half-sib Holstein families that were part of two different granddaughter designs (ADR- or Inra-design) was carried out for five milk production traits and somatic cell score in order to conduct a QTL confirmation study and to increase the experimental power. Data were exchanged in a coded and standardised form. The combined data set (JOINT-design) consisted of on average 231 sires per grandsire. Genetic maps were calculated for 133 markers distributed over nine chromosomes. QTL analyses were performed separately for each design and each trait. The results revealed QTL for milk production on chromosome 14, for milk yield on chromosome 5, and for fat content on chromosome 19 in both the ADR- and the Inra-design (confirmed within this study). Some QTL could only be mapped in either the ADR- or in the Inra-design (not confirmed within this study). Additional QTL previously undetected in the single designs were mapped in the JOINT-design for fat yield (chromosome 19 and 26), protein yield (chromosome 26), protein content (chromosome 5), and somatic cell score (chromosome 2 and 19) with genomewide significance. This study demonstrated the potential benefits of a combined analysis of data from different granddaughter designs.

Assessing SNP markers for assigning individuals to cattle populations

The effectiveness of single nucleotide polymorphisms (SNPs) for the assignment of cattle to their source breeds was investigated by analysing a panel of 90 SNPs assayed on 24 European breeds. Breed assignment was performed by comparing the Bayesian and frequentist methods implemented in the STRUCTURE 2.2 and GENECLASS 2 software programs. The use of SNPs for the reallocation of known individuals to their breeds of origin and the assignment of unknown individuals was tested. In the reallocation tests, the methods implemented in STRUCTURE 2.2 performed better than those in GENECLASS 2, with 96% vs. 85% correct assignments respectively. In contrast, the methods implemented in GENECLASS 2 showed a greater correct assignment rate in allocating animals treated as unknowns to a reference dataset (62% vs. 51% and 80% vs. 65% in field tests 1 and 2 respectively). These results demonstrate that SNPs are suitable for the assignment of individuals to reference breeds. The results also indicate that STRUCTURE 2.2 and GENECLASS 2 can be complementary tools to assess breed integrity and assignment. Our findings also stress the importance of a high-quality reference dataset in allocation studies.

Genetic variability and linkage disequilibrium patterns in the bovine DNAJA1 gene

Correlation between expression level of the bovine DNAJA1 gene and meat tenderness was recently found in Charolais longissimus thoracis muscle samples, suggesting that this gene could play an important role in meat tenderness. Here, we report the validation of polymorphisms within the bovine DNAJA1 gene, and the haplotype variability and extent of linkage disequilibrium in the three main French beef breeds (Blonde d’Aquitaine, Charolais, Limousin). Genotyping 18 putative SNPs revealed that 16 SNPs were polymorphic within the breeds tested. Two SNPs were removed from further analyses as one SNP had a low genotyping call rate, while the other SNP was not in Hardy–Weinberg equilibrium. The degree of heterozygosity observed for the remaining 14 SNPs varied between breeds, with Charolais being the breed with the highest genetic variation and Blonde d’Aquitaine the lowest. Linkage disequilibrium and haplotype structure of DNAJA1 were different between breeds. Eighteen different haplotypes, including three shared by all breeds, were discovered, and two to three tag SNPs (depending on the breed) are sufficient to capture all the genetic variability seen in these haplotypes. The results of this study will facilitate the design of optimal future association studies evaluating the role of the DNAJA1 gene in meat tenderness.

Cosmid-derived markers anchoring the bovine genetic map to the physical map.

The mapping strategy for the bovine genome described in this paper uses large insert clones as a tool for physical mapping and as a source of highly polymorphic microsatellites for genetic typing, and was one objective of the BovMap Project funded by the European Union (UE). Eight-three cosmid and phage clones were characterized and used to physically anchor the linkage groups defining all the bovine autosomes and the X Chromosome (Chr). By combining physical and genetic mapping, clones described in this paper have led to the identification of the linkage groups corresponding to Chr 9, 12, 16, and 25. In addition, anchored loci from this study were used to orient the linkage groups corresponding to Chr 3, 7, 8, 9, 13, 16, 18, 19, and 28 as identified in previously published maps. Comparison of the estimated size of the physical and linkage maps suggests that the genetic length of the bovine genome may be around 4000 cM.

Genomic identification of the breed of an individual or its tissue

To elaborate a methodological approach for the assignment of a breed to a carcass or other animal tissue, DNA microsatellites were utilized. Four Italian beef breeds were studied; examining these breeds is a challenge because they display similar morphological and productive characteristics. As comparison 54 Holstein-Friesian subjects were used. To measure the genetic similarities between animals or between groups of animals we used our method (Ciampolini et al, 1995, Individual multilocus genotypes using microsatellite polymorphisms to permit the analysis of the genetic variability within and between italian beef cattle breeds. Journal of Animal science,73, 3259-3268.) based on the consideration of a multilocus genotype of each animal, which enabled us to establish breed genomic formulae. Although the results are only preliminary, they show that we can distinguish easily between Holstein-Friesian subjects and beef animals; moreover we can identify, with a high resolution potential, animals from breeds (the four Italian white) with very high genetic similarities. However all the Holstein-Friesian subjects were identified.

Assignment of 60 human ESTs in cattle

As part of the human genome study, large-scale cDNA sequencing has produced thousands of Expressed Sequence Tags (ESTs). Généthon has mapped in human 10,000 of these ESTs and has shown that the primers of about 1000 ESTs could amplify bovine DNA. In this work, we have analyzed 233 primer pairs provided by Genethon, to assign type I sequences to the bovine genome by using a hamster-bovine somatic cell hybrid panel. Among these 233 primer pairs, 109 gave a specific PCR product with bovine genomic DNA, but for 50% the size of the PCR product was the same in cattle and hamster, requiring SSCP analysis. Finally, 60 ESTs were assigned to the bovine genome, and among them 46 were found on the bovine chromosome expected from heterologous painting data between cattle and human.

Discovery, characterization and validation of single nucleotide polymorphisms within 206 bovine genes that may be considered as candidate genes for beef production and quality

A large number of putative single nucleotide polymorphisms (SNPs) have been identified from the bovine genome-sequencing project. However, few of these have been validated and many will turn out to be sequencing artefacts or have low minor allele frequencies. In addition, there is little information available on SNPs within coding regions, which are likely to be responsible for phenotypic variation. Therefore, additional SNP discovery is necessary to identify and validate polymorphisms both in specific genes and genome-wide. Sequence-tagged sites within 286 genes were resequenced from a panel of animals representing a wide range of European cattle breeds. For 80 genes, no polymorphisms were identified, and 672 putative SNPs were identified within 206 genes. Fifteen European cattle breeds (436 individuals plus available parents) were genotyped with these putative SNPs, and 389 SNPs were confirmed to have minor allele frequencies above 10%. The genes containing SNPs were localized on chromosomes by radiation hybrid mapping and on the bovine genome sequence by Blast. Flanking microsatellite loci were identified, to facilitate the alignment of the genes containing the SNPs in relation to mapped quantitative trait loci. Of the 672 putative SNPs discovered in this work, only 11 were found among the validated SNPs and 100 were found among the approximately 2.3 million putative SNPs currently in dbSNP. The genes studied in this work could be considered as candidates for traits associated with beef production and the SNPs reported will help to assess the role of the genes in the genetic control of muscle development and meat quality. The allele frequency data presented allows the general utility of the SNPs to be assessed.