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J. Dairy Sci. 88:4083-4086
© American Dairy Science Association, 2005.

Effects of the Osteopontin Gene Variants on Milk Production Traits in Dairy Cattle

S. Leonard, H. Khatib, V. Schutzkus, Y. M. Chang and C. Maltecca

Department of Dairy Science, University of Wisconsin-Madison, Madison 53706

Corresponding author: Hasan Khatib; e-mail: hkhatib{at}wisc.edu.


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 ACKNOWLEDGEMENTS
 REFERENCES
 
Osteopontin (OPN) is a highly phosphorylated glycoprotein whose gene has been cloned and sequenced in different species. Several whole genome scans have identified quantitative trait loci (QTL) affecting milk production traits on bovine chromosome 6 close to the osteopontin gene (OPN) location. The presence of OPN in milk and its elevated expression in mammary gland epithelial cells together with previous QTL studies have prompted us to investigate the effects of OPN variants on milk production traits in the Holstein dairy cattle population. A single nucleotide polymorphism in intron 4 (C/T) was detected and primers were designed to amplify genomic DNA from 1362 bulls obtained from Cooperative Dairy DNA Repository and from 214 cows from the University of Wisconsin herd. For the Repository population, the C allele was associated with an increase in milk protein percentage and milk fat percentage. Correlation between milk protein percentage and milk fat percentage was about 0.57. For the University of Wisconsin herd, the estimates of the effects of allele C were in the same direction as for the Repository population, although these estimates did not reach statistical significance. Our results are consistent with other studies that showed a significant association of the microsatellite markers in the region of OPN with milk protein percentage and other correlated traits.

Key Words: osteopontin • quantitative trait loci • production trait

Abbreviation key: CDDR = Cooperative Dairy DNA Repository, OPN = osteopontin protein, OPN = osteopontin gene, SNP = single nucleotide polymorphism, UW = University of Wisconsin herd


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 ACKNOWLEDGEMENTS
 REFERENCES
 
Osteopontin (OPN) is a highly phosphorylated glycoprotein whose gene (OPN) has been cloned and sequenced in different species. Comparative sequence analysis of the bovine OPN cDNA in various species has revealed both conserved and nonconserved sequences (Kerr et al., 1991). It was found, for example, that the bovine and ovine sequences have a 22-AA gap compared with all other examined species. Bovine OPN consists of 6 exons spanning about 7 kb of genomic DNA (GenBank accession number: NW_255516) and encodes a 278-AA protein (Kerr et al., 1991). Since its first description in 1979 as a protein associated with malignant transformation, OPN has been intensively studied in human, mouse, and sheep. It has been suggested that human OPN has various roles in cell adhesion, chemotaxis, cell survival, tissue remodeling, regulation of inflammation, fetal growth and development, and in initiating and maintaining pregnancy (Denhardt et al., 2001; Johnson et al., 2003).

Constitutive expression of OPN exists in several tissues, and the protein is present in milk, plasma, and urine. The OPN concentration in human milk ranges from 3 to 10 µg/mL (Senger et al., 1989). Using microarray analysis of RNA from human milk cells, Nagatomo et al. (2004) found that OPN showed the highest expression among 240 genes examined. They also found that both mRNA and protein levels were highly expressed throughout the entire lactation. The presence of OPN in milk and the high expression in mammary gland epithelial cells may account for the proliferation and differentiation of mammary glands (Nagatomo et al., 2004). The major sources of OPN were mammary gland epithelial cells and monocytes and macrophages in milk. Osteopontin has also been detected in raw milk of cows at a concentration of 8 mg/L (Bayless et al., 1997). This has prompted us to investigate the effects of OPN on milk production traits in dairy cattle.

Previously, several whole genome scans have identified QTL affecting milk production traits on bovine chromosome 6 close to the OPN location (Zhang et al., 1998; Mosig et al., 2001; Nadesalingam et al., 2001; Ron et al., 2001; Rodriguez-Zas et al., 2002; Ashwell et al., 2004; Olsen et al., 2004). Ron and colleagues (2001) localized a QTL affecting protein percentage to a confidence interval of 4 cM in the region of OPN. Based on the aforementioned studies on the expression of OPN in the mammary gland and milk production QTL near the gene, we investigated possible associations between variants of the gene and milk production traits in Holstein dairy cattle.


    MATERIALS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 ACKNOWLEDGEMENTS
 REFERENCES
 
Data
Semen samples from 28 Holstein sires and their 1362 sons (19 to 102 sons per sire) were obtained from the Cooperative Dairy DNA Repository (CDDR), which is maintained by the USDA Bovine Functional Genomics Laboratory (Beltsville, MD). In addition, 214 blood samples were obtained from the herd of the University of Wisconsin (UW). Predicted transmitting abilities data for milk yield, milk protein and fat yields, milk protein and fat percentages, and SCS were obtained from the Animal Improvement Programs Laboratory (Beltsville, MD). Summary statistics of PTA of both sons from the CDDR sire families and of cows from the UW herd for production and health traits is given in Table 1Go.


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Table 1. Means, standard deviations (SD), and minimum, maximum, and average reliabilities (Rel) of predicted transmitting ability of sons (from CDDR) and cows (UW herd) for the production and health traits.1
 
Genotyping
Genomic DNA was extracted from semen samples using proteinase K and phenol/chloroform according to the procedures of Kappes et al. (2000) and from blood samples using GFX Genomic Blood DNA Purification kit (Amersham Biosciences, Piscataway, NJ). The DNA concentration was measured using a spectrophotometer (Ultraspec 2100; Amersham Biosciences). A total of 1604 samples were genotyped in this study: 28 sires and their 1362 sons and 214 cows of the UW herd. To detect single nucleotide polymorphisms (SNP) in OPN, different sets of primers were designed to amplify genomic sequences of the gene. Only one SNP was identified in intron 4 (GenBank accession number NW_255516) using the primers OPNF: GCAAATCAGAAGTGTGA-TAGAC and OPNR: CCAAGCCAAACGTATGAGTT. Amplification of genomic DNA was performed in 25 µL of reaction volume, which included 50 ng of genomic DNA, 50 ng of each primer, 200 µM of each dNTP, 2.5 µL of 10x PCR buffer (Promega, Madison, WI), and 0.3 units of Taq DNA polymerase (Promega). The temperature cycles were as follows: 95°C for 5 min; 32 cycles of 94°C for 45 s, touchdown annealing from 63 to 50°C (µ2°C/cycle) for 45 s, 72°C for 45 s; and a final extension at 72°C for 7 min. The PCR products were subjected to restriction using the enzyme BsrI that distinguishes alleles C and T of the SNP. The digestion products were electrophoresed on a 1.5% agarose gel; the T allele (uncut) was indicated by a band of 290 bp and the C allele was indicated by a band of 200 bp.

Statistical Analyses
For the CDDR data, maternal allele frequencies of OPN were estimated following Thaller et al. (2003), where all sons from homozygous sires and all homozygous sons of heterozygous sires were used. The maternal allele frequencies were estimated using the formula:


where nCC and nTT are the numbers of homozygous CC and TT sons within heterozygous sires; n'TC and n'TT are the numbers of heterozygous TC and homozygous TT sons from homozygous TT sires. For the UW herd population, the allele frequencies were estimated by counting the number of each allele in the sample of 214 cows.

Weighted least squares analysis was employed to study the effects of OPN variants on production and functional traits in both the CDDR and UW herd populations. The model was


where yij is the PTA of the trait that was considered for son (CDDR) or daughter (UW herd) j of sire i, Sirei is the fixed effect of sire i, ß is the regression coefficient representing half of the allele substitution effect ({alpha}/2); xij is the number of C alleles (0, 1, or 2) for the jth son or daughter of sire i, and eij is the residual. Reliabilities of the sons’ PTA were incorporated as weights in the model to obtain weighted least squares estimates for the allele substitution effects.


    RESULTS AND DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 ACKNOWLEDGEMENTS
 REFERENCES
 
Table 2Go shows the distribution of genotypes of sons and cows for the CDDR and UW herd populations, respectively. For the CDDR population, the number of sons per grandsire family ranged from 19 to 102, with an average of 49 sons per family. Seven sires were homozygous CC; 7 sires were homozygous TT; and 14 sires were heterozygous. The estimated maternal C allele frequency was 0.52 (±0.02). The frequencies of C and T alleles in the UW herd were 0.49 and 0.51, respectively. Thus, the frequencies of OPN alleles seemed to be evenly distributed in both populations.


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Table 2. Distribution of genotypes of sons for the Cooperative Dairy DNA Repository population.
 
Estimated regression coefficients on the number of copies of the C allele (half of the allele substitution effects, {alpha}/2) and their standard errors for production and health traits in the CDDR and UW herd populations are given in Table 3Go. For the CDDR population, the C allele was associated with an increase in milk protein percentage (P = 0.0255) and milk fat percentage (P = 0.0480). The correlation between the 2 traits was 0.57 in the CDDR population (Khatib et al., 2005). The OPN variants did not show significant effects on milk, fat, or protein yields or SCS. Although not statistically significant, allele C showed a negative effect on milk yield. This effect was expected because of the negative correlation (µ0.40) between this trait and milk protein percentage.


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Table 3. Estimates of the allele substitution effects and standard errors (SE) for production and health traits in the CDDR and UW herd populations.1
 
For the UW herd population, the estimates of the effects of allele C were in the same direction (negative for milk yield and positive for milk protein percentage) as for the CDDR population, although these estimates did not reach a level of statistical significance. This could be due to the small number of animals (214) that was available for genotyping and phenotyping and low reliabilities of PTA for the cows (Table 1Go). However, the results of the UW herd did not contradict our findings in the CDDR population. An additional observation of note was that the C allele did not show any significant unfavorable effects on the other examined traits.

Our results are consistent with other studies that have shown a significant association of microsatellite markers in the region of OPN with milk protein percentage and other correlated traits (Zhang et al., 1998; Mosig et al., 2001; Nadesalingam et al., 2001; Ron et al., 2001; Rodriguez-Zas et al., 2002; Ashwell et al., 2004; Olsen et al., 2004). Recently, Olsen et al. (2005) positioned a QTL affecting milk production traits to an interval of 420 kb between the genes ABCG2 [ATP-binding cassette, subfamily G (WHITE), member 2] and LAP3 (leucine aminopeptidase 3) on bovine chromosome 6. This narrow region harbors only 6 genes, including OPN. While this study was being completed, Schnabel et al. (2005) reported that OPN was associated with milk protein percentage in the CDDR population. They searched for SNP in a region about 5 kb upstream of the bovine OPN and identified 6 SNP, of which 1 SNP (a deletion/insertion) showed significant association with milk protein percentage.

Although the causative mutation was likely not found in our study or in that of Schnabel et al. (2005), we conclude that either OPN itself affects milk protein percentage or it is in linkage disequilibrium with other gene(s) that do. Further investigation of the OPN gene, including upstream and downstream control regions, is needed to elucidate molecular mechanisms causing the QTL effects.


    ACKNOWLEDGEMENTS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 ACKNOWLEDGEMENTS
 REFERENCES
 
This research was supported by Hatch grant #WIS04736 from the Univeristy of Wisconsin. We thank the USDA Bovine Functional Genomics Laboratory staff for providing semen samples.

Received for publication April 29, 2005. Accepted for publication July 7, 2005.


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS AND DISCUSSION
 ACKNOWLEDGEMENTS
 REFERENCES
 


Ashwell, M. S., D. W. Heyen, T. S. Sonstegard, C. P. Van Tassell, Y. Da, P. M. VanRaden, M. Ron, J. I. Weller, and H. A. Lewin. 2004. Detection of quantitative trait loci affecting milk production, health, and reproductive traits in Holstein cattle. J. Dairy Sci. 87:468–475.[Abstract/Free Full Text]

Bayless, K. J., G. E. Davis, and G. A. Meininger. 1997. Isolation and biological properties of osteopontin from bovine milk. Protein Expr. Purif. 9:309–314.[Medline]

Denhardt, D. T., M. Noda, A. W. O’Regan, D. Pavlin, and J. S. Berman. 2001. Osteopontin as a means to cope with environmental insults: Regulation of inflammation, tissue remodeling, and cell survival. J. Clin. Invest. 107:1055–1061.[Medline]

Johnson, G. A., R. C. Burghardt, F. W. Bazer, and T. E. Spencer. 2003. Osteopontin: Roles in implantation and placentation. Biol. Reprod. 69:1458–1471.[Abstract/Free Full Text]

Kappes, S. M., G. L. Bennett, J. W. Keele, S. E. Echternkamp, K. E. Gregory, and R. M. Thallman. 2000. Initial results of genomic scans for ovulation rate in a cattle populationselected for increased twinning rate. J. Anim. Sci. 78:3053–3059.[Abstract/Free Full Text]

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Mosig, M. O., E. Lipkin, G. Khutoreskaya, E. Tchourzyna, M. Soller, and A. Friedmann. 2001. A whole genome scan for quantitative trait loci affecting milk protein percentage in Israeli-Holstein cattle, by means of selective milk DNA pooling in a daughter design, using an adjusted false discovery rate criterion. Genetics 157:1683–1698.[Abstract/Free Full Text]

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Nagatomo, T., S. Ohga, H. Takada, A. Nomura, S. Hikino, M. Imura, K. Ohshima, and T. Hara. 2004. Microarray analysis of human milk cells: Persistent high expression of osteopontin during the lactation period. Clin. Exp. Immunol. 138:47–53.[Medline]

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