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* Department of Dairy Science, and
Department of Animal Sciences, University of Wisconsin-Madison, Madison 53706
1 Corresponding author: hkhatib{at}wisc.edu
| ABSTRACT |
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(IFN-
) and placental lactogen (PL) signaling pathway, which is involved in both milk production and initiation of pregnancy. Using the DNA-pooling sequencing approach, a total of 12 single nucleotide polymorphisms (SNP) were identified, 1 exonic and 11 intronic. For the study of association of these SNP with embryonic survival, 1,551 embryos were produced in vitro from 160 cows and 3 sires. Significant associations with embryonic survival were found for 7, 5, and 2 SNP for embryos produced from sires 1, 2, and 3 respectively. The association of fertilization rate with STAT5A polymorphisms was evaluated in more than 2,300 oocytes. Significant associations were found for 6, 2, and 2 SNP for sires 1, 2, and 3 respectively. For sire 1, 5 SNP showed significant associations with both embryonic survival and fertilization rate compared with 1 SNP for sires 2 and 3. To determine if embryonic losses had occurred before the blastocyst stage, 145 of the surviving embryos were harvested at d 7 of development and genotyped for the single exonic SNP12195. A significant segregation distortion was observed between oocytes produced from 2 sires carrying the same genotype. Thus, it is most likely that STAT5A is associated with 2 mechanisms of embryo death. One is a prefertilization mechanism involving sperm factors that cause low fertilization rate. The second is a postfertilization mechanism that causes incompatibility between the male pronucleus and the oocyte, which in turn leads to death of the embryo before the blastocyst stage. Association testing of SNP12195 (exon 8) and SNP14217 (intron 9) with milk composition revealed that allele G of SNP12195 was associated with a decrease in both protein and fat percentages. However, SNP14217 in intron 9 showed no significant association with milk production or health traits. The G allele of SNP12195 was also associated with low embryonic survival, making this SNP an attractive candidate for progeny testing programs in dairy cattle.
Key Words: STAT5A embryonic survival lethal mutation milk composition
| INTRODUCTION |
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The STAT5A protein is also known as a mammary gland factor that was initially identified in that tissue as a regulator of milk protein gene expression (Watson, 2001); and is a member of the interferon-
(IFN-
) and placental lactogen (PL) signaling pathway. It is involved in signal transduction within a variety of cells, including the uterus and mammary epithelial cells. The uterus is exposed to IFN-
and PL, as well as many others hormones including estrogen, progesterone, and placental growth hormone. The PL stimulates the formation of STAT5 homodimers, which in turn induce the transcription of the bovine uterine milk protein (UTMP) and osteopontin (OPN) genes (Spencer and Bazer, 2002, 2004; Stewart et al., 2002). In previous studies, we showed that the UTMP (Khatib et al., 2007a) and OPN (Leonard et al., 2005; Khatib et al., 2007b) genes have surprisingly strong effects on milk production and health traits in cattle. Furthermore, we showed that STAT1—also a member of the IFN-
and PL signal transduction pathway—is associated with milk composition and health traits (Cobanoglu et al., 2006).
Studies in mouse have shown that Stat5a is involved in both milk production and fertility; and Stat5 knockout female mice fail to lactate (Miyoshi et al., 2001). Also, it has been shown that disruption of Stat5 leads to infertility in females as a result of small-sized or absent corpora lutea (Teglund et al., 1998). Because the primary source of progesterone is the corpora lutea of the ovary, lack of development of corpora lutea would have significant effects on the establishment of pregnancy.
In this study, STAT5A was chosen as a candidate gene because it is a member of the IFN-
and PL signal transduction pathway, which is very important in both milk production and initiation of pregnancy. In addition, other genes in this pathway have been found to be associated with milk production and health traits. The objective of this study was to investigate if STAT5A variants are associated with milk production and reproduction traits in dairy cattle using association tests and in vitro fertilization.
| MATERIALS AND METHODS |
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Oocytes were fertilized with frozen-thawed Percoll-separated (Sigma, St. Louis, MO) bull semen after being adjusted to a final concentration of 1 million sperm/mL. Each microdrop received 2.0 µg/mL heparin to help induce capacitation, as well as hypotaurine, penicillamine, and epinephrine to maintain sperm membrane integrity and motility. Oocytes and sperm were coincubated for a period of 18 to 24 h. After the fertilization period, putative zygotes were stripped of their cumulus cells by vortexing for 3 min and washed 3 times in TALP-HEPES before being placed into 50-µL micro-drops (overlaid with mineral oil) of synthetic oviductal fluid (Biowhittaker) supplemented with 0.22 mM sodium pyruvate, 25 µg/mL gentamicin sulfate, and 8 mg/ mL essentially fatty acid-free BSA. A total of 160 cows and 3 sires were used in the IVF experiment.
Survival rate of embryos (number of viable embryos out of total cultured) was evaluated at d 7 of development (where fertilization = d 0). Embryos were preserved in RNALater RNA stabilization reagent (Qiagen, Valencia, CA) to avoid RNA degradation. The proportion of unfertilized ova (UFO) was calculated as the number of unsuccessful fertilizations out of the total embryos cultured. Survival and fertilization rates were assessed by one technician and were done under the same environmental conditions to minimize biased results.
Embryo Genotyping
Genomic DNA was extracted from single d 7 embryos using an Ambion kit (Applied Biosystems). Embryos were genotyped for SNP12195 (G/C) in exon 8 of STAT5A using primers STATF1 and STATR1 (Table 1
). Amplification was performed in a 25-µL reaction volume, which included 3 µL of embryo DNA, 50 ng of each primer, 200 µM of each dNTP, 5.0 µL of 5x PCR buffer (Promega, Madison, WI), and 1.5 unit of Taq DNA polymerase (Promega). The temperature cycles were as follows: 95°C for 5 min, followed by 32 cycles of 94°C for 45 s, touchdown annealing from 65–53°C for 45 s, 72°C for 45 s, and a final extension at 72°C for 7 min. The PCR products were amplified in a nested PCR reaction using primers STAT14 and STAT13 (Table 1
). The nested PCR reaction included 1 µL of PCR product, 50 ng of each primer, 200 µM of each dNTP, 5.0 µL of 5x PCR buffer, and 1.5 unit of Taq DNA polymerase (Promega). The temperature cycles were as described for the first PCR except that the total number of cycles was set to 18. Products of the nested PCR were genotyped by sequencing and by digestion with the restriction enzyme BstEII, which distinguishes alleles C and G of SNP12195.
SNP Association Testing with Fertilization and Embryonic Survival Rates
All cows and the 3 sires used in the IVF experiment were individually genotyped for the 12 SNP by sequencing. The association between the SNP and fertilization and embryonic survival rates were studied using a GLM method (McCullagh and Nelder, 1989) for proportion data, using the binomial distribution and the logit link function. First, a between-sire analysis was considered, with a model (linear predictor) including the effects of sire, genotype of the dam, and their interaction. Due to consistent significance of the effects of sire and sire by dam genotype interaction, a series of within-sire analyses was performed for each SNP. The results are expressed in terms of test statistics (
2) values and associated P-values, as well as proportion (fertilization and survival rates) confidence intervals for each genotypic group of dams mated with each sire. These analyses were performed using the GENMOD procedure of SAS (SAS Institute, 2006).
Experimental Cow Population
Blood samples were obtained from the University of Wisconsin (UW) daughter design resource population (henceforth, the UW resource population). This population was originally created to search for QTL in association with susceptibility to paratuberculosis. For a detailed description of this population see Gonda et al. (2006) and Cobanoglu et al. (2006). Yield deviation and PTA data for daughters in the UW resource populations were obtained for milk, protein, and fat yields (kg), protein and fat percentages, and SCS from the USDA Animal Improvement Programs Laboratory (Beltsville, MD).
Genomic DNA was extracted from blood samples using GFX Genomic Blood DNA Purification Kit (Amersham Biosciences, Piscataway, NJ). All samples were genotyped for SNP12195 (exon 8) and SNP14217 (intron 9). Primers STATF1 and STATR1 were used to genotype SNP12195 (G/C) (Table 1
). Amplification was performed in a 25-µL reaction volume, which included 25 to 50 ng of genomic DNA, 50 ng of each primer, 200 µM of each dNTP, 5.0 µL of 5x PCR buffer (Promega), and 1.5 units of Taq DNA polymerase (Promega). The temperature cycles were as follows: 95°C for 5 min, followed by 32 cycles of 94°C for 45 s, touchdown annealing from 65–53°C for 45 s, 72°C for 45 s, and a final extension at 72°C for 7 min. Finally, SNP14217 (A/G) was genotyped by GeneSeek Inc. (Lincoln, NE).
SNP Association Testing with Milk Production Traits
Yield deviation data for each trait were analyzed using the following model:
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where YDijk represents the observation of daughter j of sire i; µ is a general constant (intercept); si is the fixed effect of sire i;
is an effect associated with Mycobacterium paratuberculosis infection status; dij is an disease indicator variable assuming the values 0 and 1 for non-infected and infected cows, respectively; gk is the effect of the genotypic group k; and
ij is a residual term. Mycobacterium paratuberculosis infection status was included in the model because the UW population was originally created to search for genetic markers associated with susceptibility to paratuberculosis. Specific contrasts of interest were used to estimate and to test for additive and dominance genetic effects as described in as in Khatib et al. (2007a).
In addition, PTA values of the cows were studied using an allele substitution model expressed as
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where PTAij is the observation of daughter j of sire i; µ, si and
ijk are defined as before; β is the regression coefficient representing half of the allele substitution effect (
/2); and xk is the number of copies (0, 1, or 2) of the less-frequent allele at the marker locus on daughter j of sire i. All analyses were implemented using the GLM procedure of SAS (SAS Institute, 2006).
| RESULTS |
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Embryonic Survival and Fertilization Rates
A total of 1,551 embryos were produced by IVF, and survival rate was measured at d 7 of development. Table 2
has the survival rates of embryos and genotypes of dams and sires for the 12 SNP. For SNP3419, SNP13319, SNP13654, and SNP15541, no offspring or a small number of one of the homozygous genotypes was observed; therefore, these SNP were not further analyzed for the association with survival and fertilization rates. Figure 1A
shows the
2 results for the survival rate of embryos produced from the 3 sires. For sire 1, 7 SNP (SNP3117, SNP12195, SNP12885, SNP12924, SNP13244, SNP13516, and SNP14217) showed a highly significant association (P < 0.0001) with embryonic survival rate. For example, for SNP3117, the survival rate of embryos produced from the mating of sire 1 (AG) and genotype GG dams was 46% vs. 21 and 28% for embryos produced from AG and AA dams, respectively (Table 2
). For sire 2, SNP3117, SNP12885, SNP12924, SNP13244, and SNP14217 showed significant association with survival rate. In contrast, for sire 3, only 2 SNP (SNP3117 and SNP13244) showed significant association with embryonic survival rate.
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2 results of UFO for the 8 SNP analyzed for the 3 sires. For sire 1, the rate of UFO was significantly associated (P < 0.05) with SNP3117, SNP12885, SNP12885, SNP12924, SNP13244, and SNP13516. For example, the UFO ratio for genotype AA dams was 41 vs. 30% for genotype GG of SNP3117 (Table 2| Segregation Distortion of STAT5A Genotypes |
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Association with Milk Production Traits
Genotyping results of 887 cows from the UW resource population revealed that the frequency of the C and G alleles at SNP12195 were 0.61 and 0.39, respectively. Similarly, frequencies of the A and G alleles at SNP14217 were 0.39 and 0.61, respectively. Table 4
shows that allele G of SNP12195 was associated with a significant decrease in fat and protein percentages and with a less significant decrease in SCS. In contrast, SNP14217 was not significant for any of the examined traits. Estimates of dominant and additive effects of SNP12195 revealed that the GG genotype of this SNP was associated with a significant decrease in protein and fat percentages (Table 5
). Single nucleotide polymorphism 14217 did not show significant association with any of the examined traits (data not shown).
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| DISCUSSION |
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First, a trial was conducted with in vitro-produced embryos. We evaluated the association between STAT5A polymorphisms and embryonic survival for more than 1,500 IVF embryos produced from 3 sires and 160 dams. Survival rate of embryos produced from sire 1 showed a highly significant association with 7 SNP including SNP12195. Similarly, 5 SNP showed significant association with survival rate of embryos produced from sire 2. For both sires, the directions of the effects were consistent for all significant SNP. However, for sire 3, a significant association with embryonic survival rate was found for 2 SNP that showed the opposite effect to those found for sires 1 and 2. These opposite effects are most likely due to linkage phase disequilibrium between those SNP markers and the causative mutation for early embryonic death.
Second, we evaluated the association of fertilization rate of more than 2,300 oocytes with STAT5A polymorphisms. We found that the directions of the effects of 2 SNP (SNP3117 and SNP13244) were similar for all 3 sires, although for sire 2, the effects on fertilization rate did not reach significance. This result could be explained by a direct effect of STAT5A mutations on fertilization success. However, we cannot exclude the possibility that other SNP in the gene or in genes nearby are responsible for the observed effects. The most significant associations with fertilization rate were for sire 3. However, STAT5A in this sire had less significant effects on embryonic survival than sires 1 and 2. These observations indicate that the factors affecting embryonic survival could differ from those affecting fertilization rate. Alternatively, the observed effects on embryonic survival and fertilization rate could be associated with a common mutation in linkage disequilibrium with the examined polymorphisms.
Third, segregation ratio distortion was observed for embryos genotyped for SNP12195. One hypothesis for this distortion is the prezygote selection of sire gametes for fertilization. Indeed, for sire 3 [heterozygous (GC) for SNP12195], the number of GG embryos produced from GG dams was much lower than expected, and no GG embryos were produced from GC dams. Furthermore, a highly significant decrease in fertilization rate was observed for this sire. It remains to be determined whether the genotype of sires has any effect on the observed segregation distortion. Several studies have shown that sperm genotype is an important factor in female meiosis and can lead to unequal allele frequencies (Pardo-Manuel de Villena and Sapienza, 2001). In our study, significant segregation distortion was observed for the 2 sires with genotype GC but not with the sire with genotype CC. However, this needs to be confirmed in a more-detailed analysis with a larger number of embryos.
The aforementioned results suggest that STAT5A is associated with 2 mechanisms by which it affects embryonic survival, although at present the relationship between these mechanisms is not clear. One is a prefertilization mechanism that involves sperm factors that cause low fertilization rate. This is supported by the results of sire 3 in which almost no GG embryos were produced. The second is a postfertilization mechanism that causes incompatibility between the male pronucleus and the oocyte that in turn leads to embryo death before the blastocyst stage. Incompatibility between male and female gametes has been suggested as a mechanism leading to embryo death in mice (Wakasugi, 2007). In DDK syndrome, mating of females from the DDK inbred strain with males from other strains leads to arrest of cell division and proliferation and early embryonic death as a result of incompatibility between cytoplasmic factors of oocytes and spermatozoa factors (Wakasugi, 2007).
Genes causing embryonic death are difficult to identify (VanRaden and Miller, 2006). Nevertheless, 2 major genes affecting embryonic survival have been detected in cattle: deficiency of uridine monophosphate synthase (DUMPS) and complex vertebral malformation (CVM) (http://omia.angis.org.au/); these 2 genes are clearly distinct from STAT5A. First, DUMPS and CVM are relatively rare disorders, although they had a major impact in the dairy industry. Even at their greatest prevalence in the Holstein population, the deleterious alleles were never represented in more than 20% of animals (VanRaden and Miller, 2006). In contrast, our research indicates that the allele of the STAT5A gene associated with embryonic lethality is present in about 40% of the Holstein population. It also is present in other breeds of dairy cattle (unpublished data). Second, DUMPS and CVM cause pregnancy losses at later stages of pregnancy than STAT5A, which appears to cause very early pregnancy loss. Surprisingly, the early nature of the STAT5A lethality may have slowed the identification of this mutation and may have made it easier for the mutation to remain prevalent in the population. To illustrate, a pregnancy loss at 40 to 50 d would be readily identified by producers and would be extremely costly from both economic and reproductive efficiency viewpoints. In contrast, an early embryonic loss would be regarded as a failure to conceive and the cow would be rebred in the next estrous cycle, and, if successful, would result in a shorter calving interval than if the pregnancy loss were at a later stage of gestation.
In this study, STAT5A was chosen for association tests with milk production traits because of its role in mammary gland development. Brym et al. (2004) detected 1 SNP in intron 9 of STAT5A in association with milk production traits in 138 Jersey cows using single-strand conformation polymorphism. In contrast, in the current study, SNP14217 in intron 9 did not show any significant association with milk production or health traits. The association of allele G of SNP12195 with a decrease in both protein and fat percentages and with low survival rate is consistent with the genetic selection for milk yield in the last decades, which had a remarkable increase in productivity and a decrease in reproductive efficiency.
The STAT5A gene is a member of the signal transduction pathway of IFN-
and PL. Genes of this pathway are involved in both initiation of pregnancy and of milk production and health traits. In previous studies, we have shown that several genes in this pathway are associated with milk production and health traits (Leonard et al., 2005; Cobanoglu et al., 2006; Khatib et al., 2007a,b). Thus, this pathway represents a unique system to investigate the complex relationship between milk production and pregnancy of cows at the molecular level. In this study, polymorphisms of STAT5A were found to be associated with both milk composition and infertility, although the relationship between these 2 phenotypes remains contentious. Washburn et al. (2002) analyzed the relationship of conception rate and milk production over a >20-yr time period (1976–1999) in dairy herds in the Southeastern United States. The conception rates clearly decreased from approximately 55% to about 35% during this period as milk production dramatically increased. Faust et al. (1988) showed a clear negative relationship between level of milk production and conception rate in primiparous Holstein dairy cattle. In contrast, Peters and Pursley (2002) reported that higher-producing cows had greater conception rates following a hormone injection series to synchronize estrus compared with lower-producing cows.
The gene STAT5A is the first found to be associated with both milk production and fertility. Of considerable interest was the observation that the G allele of SNP12195 was associated with a significant decrease in milk protein and fat percentages and with low embryonic survival. Moreover, it would be of great importance to investigate the effects of additional genes in the signal transduction pathway of IFN-
and PL to shed more light on the complex nature of the relationship between pregnancy and milk production. Although the causative mutation responsible for the observed effects has not been identified, we propose that the STAT5A gene can be used in genetic improvement programs to improve productive and reproductive efficiency in cattle.
| ACKNOWLEDGEMENTS |
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Received for publication September 5, 2007. Accepted for publication October 2, 2007.
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and GnRH. J. Dairy Sci. 85:2403–2406.This article has been cited by other articles:
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