تعداد نشریات | 418 |
تعداد شمارهها | 9,997 |
تعداد مقالات | 83,551 |
تعداد مشاهده مقاله | 77,509,321 |
تعداد دریافت فایل اصل مقاله | 54,544,823 |
Effect of Single Nucleotide Polymorphisms in IGF-1R Gene on Growth Rate Traits in Makooei Sheep | ||
Iranian Journal of Applied Animal Science | ||
مقاله 11، دوره 9، شماره 4، اسفند 2019، صفحه 669-675 اصل مقاله (358.36 K) | ||
نویسندگان | ||
M. Pasandideh* ؛ G. Rahimi؛ V. Hemati | ||
Department of Genetics and Animal Breeding, Faculty of Animal and Aquatic Science, Sari Agricultural Science and Natural Resources University, Sari, Iran | ||
چکیده | ||
Insulin-like growth factor 1 receptor (IGF-1R) is a main receptor of IGFs family which plays a critical role in the postnatal growth and skeletal growth in many species. However, there are few reports of IGF-1R gene structure and its effects on growth traits in sheep. The objectives of this study were detection of IGF-1R polymorphisms and assessment of their associations with growth traits in Iranian Makooei Sheep. Hence, 200 Makooei lambs were genotyped through polymerase chain reaction-single-strand conformation polymorphism (PCR-SSCP). The studied traits were birth weight (BW), weaning weight (WW), 6 months weight (6MW), average daily gains from birth to 3 months (ADG0-3), from 3 months to 6 months (ADG3-6), from birth to 6 months (ADG0-6) and corresponding Kleiber ratios (KR0-3, KR3-6, KR0-6).For this genetic position, three types of banding patterns (AA, AB and BB) were identified with the frequencies of 0.69, 0.16 and 0.15, respectively. In this study, IGF-1R genotypes indicated the significant associations with 6MW, ADG0-6, KR0-3 (P<0.05) and ADG0-3 (P<0.01). In all of the significant traits, The AAgenotype was linked to the highest values, while the BBgenotype was linked to the lowest values. The results of this study indicated that single nucleotide polymorphism (SNP) variation in IGF-1R gene can be used as a molecular marker for improving of growth traits in marker assisted selection programs in sheep. | ||
کلیدواژهها | ||
growth rate traits؛ IGF-1R؛ Makooei sheep؛ PCR-SSCP | ||
اصل مقاله | ||
INTRODUCTION Lamb weight and average daily weight gains are regarded as the most important traits in sheep breeding programs. In Iran, the use of sheep meat is the most important source of red meat. So far, most improving programs of economic traits in sheep have been carried out through phenotypic and pedigree information. However, using of molecular genetics such as genotyping of candidate genes can lead to more accurate knowledge of quantitative traits and consequently more genetic gain in livestock population. The Makooei sheep is one of fat tailed native breeds in Iran used for multiple purposes including meat and wool production. This breed has medium-sized body covering with white and black spots on the face and feet. These animals are distributed in the mountainous regions of the country, especially in west-Azerbaijan province (Saadat-Noori and Siah-Mansoor, 1992). The insulin-like growth factor 1 receptor (IGF-1R) is a transmembrane receptor that belonging to the large group of tyrosine kinase receptors. It is activated by a hormone called insulin-like growth factor 1 (IGF-1) as well as mediates the effects of IGF-1 (Singh et al. 2014). The IGF-1 is one of the most important member of IGF family participating in the somatotrophic axis and plays an important role in carbohydrate and lipid metabolism in mammals (Richardson et al. 2004). It has reported that IGF-1 can induce hypertrophy of skeletal muscle and other target tissues (O’Neill et al. 2015). In research of Epaud et al. (2012), mutant mice were generated with deletion of IGF-1R gene. The results showed that absence of IGF-1R in these mice significantly delayed the development and body mass as well as concluded that this receptor plays a vital role in promoting of growth. In sheep, IGF-1R gene is located on chromosome 18 and consists of 20 exons (Byun et al. 2012). IGF-1R encodes a protein containing 1367 amino acids that plays an important role in cell proliferation, growth regulation, protein synthesis and postnatal growth (Froesch et al. 1985). There are numerous studies that indicate IGF-1 gene affects muscle growth and meat production in sheep. A positive correlation was found between a SNP in IGF-1 gene with body weight and height in Russian sheep (Trukhachev et al. 2016). Several studies have reported the effect of IGF-1 gene variants on growth traits in different breeds of Iranian sheep (Tahmoorespur et al. 2009; Gholibeikifard et al. 2013; Hajihosseinlo et al. 2013; Negahdary et al. 2013). In comparison to IGF-1 gene, there are few investigations for the association of IGF-1R gene variants with growth traits in sheep. A study indicated a significant association between a SNP in IGF-1R gene with body weight and average daily weight gain in Polish sheep (Proskura and Szewczuk, 2014). We did not find any studies for associations of the IGF-1R gene with growth traits in Iranian sheep. Because of the fact that growth is a continuous function during life of animal, the average daily gain (ADG) in weight is a better criterion for measuring growth than weight in end of period (Nkrumah et al. 2007). On the other hand, selection for mass or growth may lead to undesirable consequences such as greater deposit of fat and lower fertility in animal (Scholtz and Roux, 1988). Kleiber ratio (KR) is a ratio of growth rate to metabolic mass (W0.75) introduced as a criterion for measuring efficiency of feed conversion (Kleiber, 1947). Kleiber ratio has a positive correlation to ADG as well as does not lead to undesirable correlated responses for longevity and fertility traits (Kleiber, 1947). The objectives of this study were to detect polymorphisms in IGF-1R gene and survey of effects of IGF-1R variants on body weight in different ages as well as ADG and KR in different periods of age in Makooei sheep.
MATERIALS AND METHODS Ethical statement This study has been performed with the approval of Makooei Sheep Breeding Station of west-Azerbaijan province, Iran. All institutional and national guidelines for the care and use of laboratory animals were followed.
Animal resources and measurement of traits The used data in this study was obtained from 200 Makooei lambs (included both male and female sexes) collected from Makooei Sheep Breeding Station, west-Azerbaijan province, Iran. The Makooei sheep were kept with conventional industry practices. In this system, the animals were kept on pasture during spring and summer and kept indoors in winter. The mating period started from early October to mid-November consequently, lambing occurred from mid-February to late-March. The studied traits were: birth weight (BW), weaning weight (WW), 6 months weight (6MW), average daily gain from birth to 3 months (ADG0-3), from 3 months to 6 months (ADG3-6), from birth to 6 months (ADG0-6) and corresponding Kleiber ratios (KR0-3, KR3-6, KR0-6, respectively). Average daily gain and Kleiber ratio for each period were calculated as follow: ADG= (end weight–first weight) / (number of days in period) KR= (ADG for each period) / (end weight)0.75
Sampling and genotyping The blood samples (approximately 2 to 3 mL) were collected from sheep venous jugular and stored in ethylene diamine tetracetic acid (EDTA)-coated tubes. Genomic DNA was extracted from blood samples using a modified salting out protocol following Miller et al. (1988). After the DNA extraction, a 364 bp fragment of IGF-1R gene containing part of intron 2 and exon 3 was amplified using the primers designed by Byun et al. (2008). The amplification of genomic DNA was performed in 20 µL of reaction volume, which included 100 ng of genomic DNA, 0.6 pm of each primer, 0.2 mM of each dNTP, 2 µL of 10 × PCR buffer, 2 mM of MgCl2, and 1.5 units of Taq DNA polymerase. The temperature cycles for amplification of DNA were as follows: the initial denaturation at 95 ˚C for 5 min; 33 cycles were included: denaturation at 95 ˚C for 45 s, annealing at 60 ˚C for 45 s, extension at 72 ˚C for 45 s; and a final extension at 72 ˚C for 5 min. The PCR products of IGF-1R gene were analyzed by polymerase chain reaction-single strand conformation polymorphism (PCR-SSCP) method. The PCR products (8 mL) were mixed with an equal volume of sample buffer. The mixture was denatured at 95 ˚C for 5 minutes and was snap chilled on ice (Pipalla et al. 2004). The samples were resolved on vertical electrophoresis at 37 ˚C for 4 hours using polyacrylamide gel 12%. The gels were stained with 0.1% silver nitrate and visualized through 2% NaOH solution (containing 0.1% formaldehyde).
Statistical analyses The pop gene software (Yeh et al. 1999) was used to estimate the allele and genotype frequency. The standard error of allele frequency was calculated by the following formula (Falconer and Mackay, 1996): SEM= √p(1-p) / 2n Where: n: sample size. p: frequency of the A allele. The normality of the distribution of phenotypic data was examined using SAS software (SAS, 2002). The errors of studied traits follow a normal distribution. The fixed effects for considering in final model were tested using the general linear model (GLM) procedure of SAS. The significant fixed effects included in the final statistical model were sex, type of birth and age of dam at lambing. The association of IGF-1R genotypes with growth traits was analyzed using the least square method of GLM procedure of SAS. The significant differences between means were assessed by Tukey’s test. The full model was as follows: yijkl= µ + SNPi + sexj + type of birthk + age of daml + eijkl Where: yijkl: vector of the observed traits. µ: overall mean. SNPi: SNP genotype. Sexj: fixed effect of sex (male or female). Type of birthk: fixed effect of type of birth (single or twin lamb in birth). Age of daml: 2 to 7 years. eijkl: residual effect to each observation. The total variance explained by each significant SNP σ2QTL was estimated as the sum of its additive σ2QTL-a and dominance σ2QTL-d variances, which were estimated as follows (Falconer and Mackay, 1996): Where: p and q: allele frequencies. : additive. : dominance effects estimated from the genotype effects (AA, AB and BB) of the significant SNP. α: allele substitution effect. δ: dominance deviation. The QTL variance (σ2QTL) was expressed as a fraction of the total phenotypic variance (VP) which was estimated based on model without SNP effect. The genetic variance of traits was estimated in a model without SNP effect using WOMBAT software (Meyer, 2006).
RESULTS AND DISCUSSION Population phenotypic and genetic information The descriptive statistics for phenotypic data of growth traits are presented in Table 1. According to the results of PCR-SSCP analysis, a total of three genotypic patterns were observed for 364 bp amplified fragment of IGF-1R gene (Figure 1). In the examined group of 200 sheep, the genotypic patterns 138 AA, 32 AB and 30 BB were identified. The allelic and genotypic frequencies, standard error of means and result of fisher's exact test are shown in Table 2. The fisher's exact test was revealed that there is a significant difference between the observed genotypic patterns (P<0.05). The highest and least frequencies of genotypic patterns were AA and BB, respectively. The results of polymorphisms in this study are consistent with previous researches in sheep (Proskura and Szewczuk, 2014), yak (Liang et al. 2010), Turkish cattle breeds (Akis et al. 2010), Japanese quail (Moe et al. 2007) and pig (Wang et al. 2006) that reported two alleles for IGF-1R gene. On the other hand, the findings of this study are not similar to performed studies in Egyptian buffalo (El-Magd et al. 2013), sheep (Byun et al. 2008) and chicken (Lei et al. 2008) that identified more than two alleles for IGF-1R gene. The variations in polymorphisms of IGF-1R gene might be due to the difference of the studied species or breeds, the studied genetic position of gene and discrepancy in sample size.
IGF-1R association analyses The IGF-1R protein is a main receptor of IGFs family and mediates in many physiological processes such as cell proliferation, bone growth, protein synthesis and increasing of muscle mass (Delafontaine et al. 2004; Charge and Rudnicki, 2004). Also, several studies have reported that IGF-1R gene has an important effect on growth, carcass and meat quality traits in many species (Moe et al. 2007; Lei et al. 2008; Liang et al. 2010; El-Magd et al. 2013). However, there are few reports about association of IGF-1R gene variants with growth traits in sheep.
Table 1Descriptive statistics of examined traits in Makooei sheep
BW: birth weight; WW: weaning weight; 6MW: 6 month weight; ADG0-3: average daily gains from birth to 3 months; ADG3-6: average daily gains from 3 months to 6 monthsand ADG0-6: average daily gains from birth to 6 months; KR0-3: kleiber ratios from birth to 3 months; KR3-6: kleiber ratios from 3 months to 6 months andKR0-6: kleiber ratios from birth to 6 months.
Figure 1 Single strand conformation polymorphism (SSCP) patterns observed for IGF-1R gene in Makooei sheep
Table 2 Summary of population genetic information for IGF-1R gene in Makooei sheep
SEM: standard error of the means.
Thus in present research, IGF-1R gene was chosen for an association study with growth traits in Makooei sheep. The significant fixed effects included in the final statistical model were sex, type of birth and age of dam at lambing. It is obvious that male lambs and single born lambs were heavier and faster growing rate than other individuals. Furthermore, differences in dams for maternal behavior and mothering ability at different ages as well as limited uterine space (especially in young dams) significantly affect lamb weight. Table 3 shows the effect of the IGF-1R genotypes on growth traits in Makooei sheep. The results showed that the AAgenotype is associated with more 6MW, ADG0-6, KR0-3 (P<0.05) and ADG0-3 (P<0.01) if compared to other genotypes. Also, for 6MW, ADG0-3 and ADG0-6 traits, AA genotype was similar to AB genotype but for KR0-3 trait, AA genotype was similar to BB genotype. The results of the present study are consistent with those of other researches that have shown the significant association of IGF-1R gene with growth traits and ADG (Wang et al. 2006; Moe et al. 2007; Lei et al. 2008; Liang et al. 2010; El-Magd et al. 2013; Proskura and Szewczuk, 2014). Proskura and Szewczuk (2014) reported that g.195C > T SNP in intron 12 of IGF-1R gene was significantly associated with body weight at day 1, 33 and 90 of age and ADG at 1-33, 33-90 and 1-90 days of age in Polish ewes. They showed that sheep with the TT and CCgenotypes, respectively, had highest and lowest values of the all analyzed traits.
Table 3 Effect of genotypes of IGF-1R gene on growth traits in Makooei sheep (Least-square means±standard errors)
BW: birth weight; WW: weaning weight; 6MW: 6 month weight; ADG0-3: average daily gains from birth to 3 months; ADG3-6: average daily gains from 3 months to 6 monthsand ADG0-6: average daily gains from birth to 6 months; KR0-3: kleiber ratios from birth to 3 months; KR3-6: kleiber ratios from 3 months to 6 months andKR0-6: kleiber ratios from birth to 6 months. The means within the same row with at least one common letter, do not have significant difference (P>0.05).
Table 4 Variances of IGF-1R gene for significant traits in Makooei sheep
SNP: single nucleotide polymorphism; 6MW: 6 month weight; ADG0-3: average daily gains from birth to 3 months; ADG3-6: average daily gains from 3 months to 6 monthsand KR0-3: kleiber ratios from birth to 3 months.
Wang et al. (2006) reported that AA-genotype pigs exhibited greater body weights at birth, 2 and 6 months of age. An association study for IGF-1R on yak indicated that animals withAAgenotype had more body weight and height than the other individuals (Liang et al. 2010). A study showed that AA genotype of IGF-1R gene was significantly associated with growth traits and ADG in chicken (Lei et al. 2008). Moe et al. (2007) reported a significant effect of IGF-1R gene on 10-week body weight and ADG in Japanese quail. A research on Egyptian buffalo confirmed that the heterozygous animals had higher ADG0-6 than the homozygous animals (El-Magd et al. 2013). We did not find any studies about the effects of IGF-1R on Kleiber ratio in sheep. The results of this study did not show a significant effect of IGF-1R on birth weight and weaning weight but confirmed the significant associations between this gene and ADG and KR in period (0-3). These findings prove the importance of evaluating the growth rate traits as well as a difference between weight at a stage of animal life with weight gain in different periods of age. Because, growth is a continuous function during life of animal, the growth gain traits may be more suitable breeding objectives to use in sheep breeding programs to achieve more meat production. Also, our findings confirmed the significant effect of IGF-1R gene on ADG0-6, but no significant association was observed for KR in this period. This result shows that there is a difference between growth gain and Kleiber ratio. Because, KR is based on efficiency of feed conversion, selection for KR does not lead to undesirable results such as increasing of fat deposit in animal and consequently decreasing of longevity and fertility. We found discrepancy in effects of IGF-1R gene on ADG and KR traits in different periods of age. The records related to ADG and KR traits are repeated data over time; thus, the level of gene expression as well as heritability and genetic correlation between repeated measurements vary in different periods of age (Mrode, 2014). A genome wide association study on Baluchi sheep reported that SNP markers affecting KR were not necessarily the same with corresponding ADG (Pasandideh et al. 2018). These evidences prove that our results are reasonable and acceptable. The IGF-1R variances for significant traits are shown in Table 4. The variance of IGF-1R gene for ADG0-6 trait was obtained 0.045 as a fraction of the total phenotypic that was the highest variance of this gene on studied traits. The value of dominance variance for KR0-3 trait was so nominal (0.0001) mentioned zero in Table 4. For all of significant traits, the values of additive variances were higher compared to the dominance variances. Although, these percentages were probably overestimated according to the Beavis effect (Beavis, 1998), these results confirmed that dominance plays a role in the genetic architecture of growth traits but specially, the additive effects are involved in genetic variance of studied traits more than dominance effects. In this regard, the results of this study are consistent with previous studies. Two GWA studies in Baluchi sheep showed that the additive effects are more involved than dominance in genetic variance of reproductive and growth rate traits (Pasandideh et al. 2017; Pasandideh et al. 2018). Su et al. (2012) reported that the additive genetic variance of daily gain in pigs was 3.73 fold higher than the dominance genetic variance. The additive variance is the most important component of genetic variance because it determines most of the correlation of relatives and the opportunities for genetic change by natural or artificial selection, consequently, effects on response to selection (Falconer and Mackay, 1996).
CONCLUSION The present study showed the significant associations of IGF-1R variants with some of growth traits in Makooei sheep. The animals with AA genotype were higher than other individuals for 6MW, ADG0-3, ADG0-6, KR0-3 traits. Also, AA genotype was similar to AB genotype for 6MW, ADG0-3 and ADG0-6 traits but for KR0-3 trait, AA genotype was similar to BB genotype. We suggest to perform further studies in different breeds of sheep to verify the IGF-1R effects on growth traits. Finally, IGF-1R marker can be used in sheep breeding programs through marker-assisted selection (MAS) in order to increasing and improving of meat production.
ACKNOWLEDGEMENT The authors appreciate the assistance of the Makooei sheep breeding station staff in the data-collection phase for this study. | ||
مراجع | ||
Akis I., Oztabak K., Gonulalp I., Mengi A. and Un C. (2010). IGF-1 and IGF-1R gene polymorphisms in East Anatolian Red and South Anatolian Red cattle breeds. Russian J. Genet. 46, 439-442.
Beavis W.D. (1998). QTL analyses: Power, precision, and accuracy. Pp. 145-162 in Molecular Dissection of Complex traits. A.H. Peterson, Ed. CRC Press, New York.
Byun S.O., Forrest R.H., Frampton C.M., Zhou H. and Hickford J.G.H. (2012). An association between lifespan and variation in insulin-like growth factor I receptor in sheep. J. Anim. Sci. 90, 2484-2487.
Byun S.O., Zhou H. and Hickford J.G.H. (2008). Polymorphism of the ovine insulin-like growth factor I receptor (IGFIR) gene. Mol. Cell. Probes. 22, 131-132.
Charge S.B.P. and Rudnicki M.A. (2004). Cellular and molecular regulation of muscle regeneration. Physiol. Rev. 84, 209-238.
Delafontaine P., Song Y.H. and Li Y. (2004). Expression, regulation, and function of IGF-1, IGF-1R, and IGF-1 binding proteins in blood vessels. Arterioscler. Thromb. Vasc. Biol. 24, 435-444.
El-Magd M., Abbas H., El-Kattawy A. and Mokhbatly A. (2013). Novel polymorphisms of the IGF1R gene and their association with average daily gain in Egyptian buffalo (Bubalus bubalis). Domest. Anim. Endocrinol. 45, 105-110.
Epaud R., Aubey F., Xu J., Chaker Z., Clemessy M., Dautin A.,Ahamed K., Bonora M., Hoyeau N., Fléjou J.F., Mailleux A., Clement A., Henrion-Caude A. and Holzenberger M. (2012). Knockout of insulin-like growth factor-1 receptor impairs distal lung morphogenesis. PLoS One. 7, e48071.
Falconer D.S. and Mackay T.F.C. (1996). Introduction to Quantitative Genetics. Longmans Green, Harlow, United Kingdom.
Froesch E.R., Schmid C.H.R., Schwander J.T. and Zapf J. (1985). Actions of insulin-like growth factors. Ann. Rev. Physiol. 47, 443-467.
Gholibeikifard A., Aminafshar M. and Hosseinpour Mashhadi M. (2013). Polymorphism of IGF-I and ADRB3 genes and their association with growth traits in the Iranian Baluchi sheep. J. Agric. Sci. Technol. 15, 1153-1162.
Hajihosseinlo A., Hashemi A., Razavi-Sheshdeh S. and Pirany N. (2013). Association of the polymorphism in the 5 flanking region of the ovine IGF-I gene with growth and development traits in Makui sheep of Iran. European J. Zool. Res. 2, 19-24.
Kleiber M. (1947). Body size and metabolic rate. Physiol. Rev. 27, 511-541.
Lei M., Peng X., Zhou M., Luo C., Nie Q. and Zhang X. (2008). Polymorphisms of the IGF1R gene and their genetic effects on chicken early growth and carcass traits. BMC Genet. 9, 70.
Liang C., Yan P., Yao Y., Pei J., Guo X., Zeng Y., Bao P. and Chu M. (2010). A novel single nucleotide polymorphism (SNP) of the IGF1R gene and the association with growth traits in yak (brief report). Arch. Anim. Breed. 53, 626-628.
Meyer K. (2006). WOMBAT–A program for mixed model analyses by restricted maximum likelihood REML. J. Zhejiang Univ. Sci. B. 11, 815-21.
Miller S.A., Dykes D.D. and Polesky H.F. (1988). A simple salting out procedure for extracting DNA from human nucleated cells. Nucleic Acids Res. 16(3), 1215-1225.
Moe H., Shimogiri T., Kamihiraguma W., Isobe H., Kawabe K., Okamoto S., Minvielle F. and Maeda Y. (2007). Analysis of polymorphisms in the insulin-like growth factor 1 receptor (IGF1R) gene from Japanese quail selected for body weight. Anim. Genet. 38, 659-661.
Mrode R.A. (2014). Linear Models for the Prediction of Animal Breeding Values. CABI, Wallingford, United Kingdom.
Negahdary M., Hajihosseinlo A. and Ajdary M. (2013). PCR-SSCP variation of IGF1 and PIT1 genes and their association with estimated breeding values of growth traits in Makooei Sheep. Genet. Res. Int. 2013, 1-6.
Nkrumah J.D., Sherman E.L., Li C., Marques E., H.C.J.D., Bartusiak R., Murdoch B., Wang Z., Basarab J.A. and Moore S.S. (2007). Primary genome scan to identify putative quantitative trait loci for feedlot growth rate, feed intake, and feed efficiency of beef cattle. J. Anim. Sci. 85, 3170-3181.
O’Neill B.T., Lauritzen H.P.M.M., Hirshman M.F., Smyth G., Goodyear L.J. and Kahn C.R. (2015). Differential role of insulin/IGF-1 receptor signaling in muscle growth and glucose homeostasis. Cell. Rep. 11, 1220-1235.
Pasandideh M., Rahimi-Mianji G. and Gholizadeh M. (2018). A genome scan for quantitative trait loci affecting average daily gain and Kleiber ratio in Baluchi Sheep. J. Genet. 97, 493-503.
Pasandideh M., Rahimi-Mianji G., Gholizadeh M. and Fontanesi L. (2017). Detection of genomic regions affecting reproductive traits in Baluchi sheep using high density markers. Anim. Prod. Res. 6, 29-41.
Pipalla D.L., Joshi C.G., Rank D.N., Brahmkshtri B.P. and Solanki J.V. (2004). PCR-SSCP typing of MHC in cattle and buffaloes. Indian J. Anim. Sci. 74, 637-639.
Proskura W.S. and Szewczuk M. (2014). The polymorphism in the IGF1R gene is associated with body weight and average daily weight gain in Pomeranian coarse wool ewes. Pakistan Vet. J. 34, 514-517.
Richardson A., Liu F., Adamo M.L., Van Remmen H. and Nelson J.F. (2004). The role of insulin and insulin-like growth factor-I in mammalian ageing. Best Pract. Res. Clin. Endocrinol. Metab. 18, 393-406.
Saadat-Noori M. and Siah-Mansoor S. (1992). Sheep Husbandary and Management. Ashrafi Publication, Tehran, Iran.
SAS Institute. (2002). SAS®/STAT Software, Release 9.1. SAS Institute, Inc., Cary, NC. USA.
Scholtz M.M. and Roux C.Z. (1988). The kleiber ratio (growth rate metabolic mass) as possible selection criteria in the selection of beef cattle. Pp. 220-225 in Proc. 7th World Congr. Sheep Beef Cattle Breed., Paris, France.
Singh P., Alex J.M. and Bast F. (2014). Insulin receptor (IR) and insulin-like growth factor receptor 1 (IGF-1R) signaling systems: Novel treatment strategies for cancer. Med. Oncol. 31, 1-14.
Su G., Christensen O.F., Ostersen T., Henryon M. and Lund M.S. (2012). Estimating additive and non-additive genetic variances and predicting genetic merits using genome-wide dense single nucleotide polymorphism markers. PLoS One. 7, e45293.
Tahmoorespur M., Valeh M., Nassiry M., Moussavi A. and Ansary M. (2009). Association of the polymorphism in the 5’flanking region of the ovine IGF-I gene with growth traits in the Baluchi sheep. S. Afr. J. Anim. Sci. 39, 97-101.
Trukhachev V., Skripkin V., Kvochko A., Kulichenko A., Kovalev D., Pisarenko S., Volynkina A., Selionova M., Aybazov M., Shumaenko S., Omarov A., Mamontova T., Yatsyk O. and Krivoruchko A. (2016). Polymorphisms of the IGF1 gene in Russian sheep breeds and their influence on some meat production parameters. Slovenian Vet. Res. 53, 77-83.
Wang W., Ouyang K., Su X., Xu M. and Shangguan X. (2006). Polymorphism of insulin-like growth factor 1 receptor gene in 12 pig breeds and its relationship with pig performance traits. Asian-Australasian. J. Anim. Sci. 19, 1541-1545.
Yeh F.C., Yang R. and Boyle T. (1999). Pop gene version 1.31, microsoft windows-based free ware for population genetic analysis. MS Thesis. University of Alberta, Edmonton, Canada. | ||
آمار تعداد مشاهده مقاله: 436 تعداد دریافت فایل اصل مقاله: 269 |