Skip to main content
SpringerLink
Log in

Correlation analysis between three novel SNPs of the Src gene in bovine and milk production traits

  • Published:
Molecular Biology Reports Aims and scope Submit manuscript

Abstract

As an essential signaling modulator, Src gene appears to be necessary for increased expression of the prolactin receptor, normal downstream signaling, and alveolar cell organization. In this study, we detected the polymorphism of Src gene by polymerase chain reaction-restriction fragment length polymorphism assay (PCR-RFLP) and DNA sequencing methods in 985 individuals from three Chinese cattle breeds. Three novel single nucleotide polymorphisms (SNPs) (g.14062C>T ss161151834, g.17302G>A ss161151835, g.18107T>C ss161151836) were detected. Least squares analysis showed that cows with g.14062C>T-CC genotypes and g.18107T>C-TT genotypes had the highest protein rate, while the cows with g.17302G>A-GG genotype had higher 305 d milk yield (p < 0.05), fat yield (p < 0.01) and protein yield (p < 0.01) than the ones with genotypes g.17302G>A-GA. These results revealed the statistical significant effects of three SNPs of the Src gene on the milk production traits in Chinese Holstein. In addition, based on the nine genotypes constructed from 27 combined haplotypes, the association analysis between combined haplotypes and milk production traits was carried out. Statistic results showed that the cows with combined haplotypes H2H4(CCGATT) had the highest fat rate and the highest protein rate and the cows with combined haplotypes H1H8(TCGATC) and H3H7(TCGGCC) had greater 305 d mild yield than H1H2(CCAATC)(P < 0.05). Our finding demonstrated that the Src gene possibly contributed to conducting association analysis and can be recognized as genetic marker in milk production traits and other performance for animal breeding and genetics.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig.1
Fig.2

Similar content being viewed by others

References

  1. Lü A, Hu X, Chen H, Jiang J, Zhang C, Xu H, Gao X (2010) Single nucleotide polymorphisms in bovine PRL gene and their association with milk production traits in Chinese Holsteins. Mol Biol Rep 37(1):547–551

    Article  PubMed  Google Scholar 

  2. Zhang JL, Zan LS, Fang P, Zhang F, Shen GL, Tian WQ (2008) Genetic variation of PRLR gene and association with milk performance traits in dairy cattle. Can J Anim Sci 88(1):33–39

    CAS  Google Scholar 

  3. Khatib H, Monson RL, Schutzkus V, Kohl DM, Rosa GJ, Rutledge JJ (2008) Mutations in the STAT5A gene are associated with embryonic survival and milk composition in cattle. J Dairy Sci 91(2):784–793

    Article  CAS  PubMed  Google Scholar 

  4. Watson CJ (2001) Stat transcription factors in mammary gland development and tumorigenesis. J Mammary Gland Biol Neoplasia 6(1):115–127

    Article  CAS  PubMed  Google Scholar 

  5. Spencer TE, Bazer FW (2002) Biology of progesterone action during pregnancy recognition and maintenance of pregnancy. Front Biosci 1(7):d1879–1898

    Article  Google Scholar 

  6. Spencer TE, Burghardt RC, Johnson GA, Bazer FW (2004) Conceptus signals for establishment and maintenance of pregnancy. Anim Reprod Sci 82–83:537–550

    Article  PubMed  Google Scholar 

  7. Stewart MD, Choi Y, Johnson GA, Yu-Lee LY, Bazer FW, Spencer TE (2002) Roles of Stat1, Stat2, and interferon regulatory factor-9 (IRF-9) in interferon tau regulation of IRF-1. Biol Reprod 66(2):393–400

    Article  CAS  PubMed  Google Scholar 

  8. Khatib H, Schutzkus V, Chang YM, Rosa GJ (2007) Pattern of expression of the uterine milk protein gene and its association with productive life in dairy cattle. J Dairy Sci 90(5):2427–2433

    Article  CAS  PubMed  Google Scholar 

  9. Leonard S, Khatib H, Schutzkus V, Chang YM, Maltecca C (2005) Effects of the osteopontin gene variants on milk production traits in dairy cattle. J Dairy Sci 88(11):4083–4086

    Article  CAS  PubMed  Google Scholar 

  10. Khatib H, Zaitoun I, Wiebelhaus-Finger J, Chang YM, Rosa GJ (2007) The association of bovine PPARGC1A and OPN genes with milk composition in two independent Holstein cattle populations. J Dairy Sci 90(6):2966–2970

    Article  CAS  PubMed  Google Scholar 

  11. Perrot-Applanat M, Gualillo O, Pezet A, Vincent V, Edery M, Kelly PA (1997) Dominant negative and cooperative effects of mutant forms of prolactin receptor. Mol Endocrinol 11:1020–1032

    Article  CAS  PubMed  Google Scholar 

  12. Bole-Feysot C, Goffin V, Edery M, Binart N, Kelly PA (1998) Prolactin (PRL) and its receptor: actions, signal transduction pathways and phenotypes observed in PRL receptor knockout mice. Endocr Rev 19:225–268

    Article  CAS  PubMed  Google Scholar 

  13. Goffin V, Binart N, Clement-Lacroix P, Bouchard B, Bole-Feysot C, Edery M, Lucas BK, Touraine P, Pezet A, Maaskant R, Pichard C, Helloco C, Baran N, Favre H, Bernichtein S, Allamando A, Ormandy C, Kelly PA (1999) From the molecular biology of prolactin and its receptor to the lessons learned from knockout mice models. Genet Anal 15:189–201

    CAS  PubMed  Google Scholar 

  14. Watkin H, Richert MM, Lewis A, Terrell K, McManaman JP, Anderson SM (2008) Lactation failure in Src knockout mice is due to impaired secretory activation. BMC Dev Biol 8(6):1–22

    Google Scholar 

  15. Streuli CH, Edwards GM, Delcommenne M, Whitelaw CB, Burdon TG, Schindler C, Watson CJ (1995) Stat5 as a target for regulation by extracellular matrix. J Biol Chem 270(37):21639–21644

    Article  CAS  PubMed  Google Scholar 

  16. Gan HY, Li JB, Wang HM, Gao YD, Liu WH, Li JP, Zhong JF (2007) Allele frequencies of TYR and MC1R in Chinese native cattle. Japan Anim. Sci 78:484–488

    Article  CAS  Google Scholar 

  17. Zhang CL, Wang YH, Chen H, Lan XY, Lei CZ (2007) Enhance the efficiency of single-strand conformation polymorphism analysis by short polyacrylamide gel and quick low-background silver staining. Anal Biochem 365:286–287

    Article  CAS  PubMed  Google Scholar 

  18. SAS Institute Inc (2000) Statistical Analysis Software (CD-ROM), Version 8.1. SAS Institute Inc, Cary

    Google Scholar 

  19. Orita M, Suzuki Y, Sekiya T, Hayashi K (1989) Rapid and sensitive detection of point mutations and DNA polymorphisms using the polymerase chain reaction. Genomics 5(4):874–879

    Article  CAS  PubMed  Google Scholar 

  20. Zhao CJ, Li N, Dang XM (2003) The establishment of method for identifying SNP genotype by CRS-PCR. Hereditas (Beijing) 25(3):327–329

    CAS  Google Scholar 

  21. Qiu H (2002) Modern Dairy Science. Agriculture Press of China, pp 1-12

  22. Zhang Q, Chen H, Zhao S, Zhang L, Zhang L, Wang X (2010) Polymorphisms in the promoter region of bovine PRKAB1 gene. Mol Biol Rep 37(1):435–440

    Article  CAS  PubMed  Google Scholar 

  23. Nei M, Roychoudhurg AK (1974) Sampling variance of heterozygosity and genetic distance. Genetics 76(2):379–390

    CAS  PubMed  Google Scholar 

  24. Huang J, Wang H, Wang C, Li J, Li Q, Hou M, Zhong J (2010) Single nucleotide polymorphisms, haplotypes and combined genotypes of lactoferrin gene and their associations with mastitis in Chinese Holstein cattle. Mol Biol Rep 37(1):477–483

    Article  CAS  PubMed  Google Scholar 

  25. Fallin D, Cohen A, Essioux L, Chumakov I, Blumenfeld M, Cohen D, Schork NJ (2001) Genetic analysis of case/control data using estimated haplotype frequencies: application to APOE locus variation and Alzheimer’s disease. Genome Res 11(1):143–151

    Article  CAS  PubMed  Google Scholar 

  26. Nott A, Meislin SH, Moore MJ (2003) A quantitative analysis of intron effects on mammalian gene expression. RNA 9(5):607–617

    Article  CAS  PubMed  Google Scholar 

  27. Zan LS, Zhang JL, Liu XW (2007) Association study on AGPAT6 intron3 polymorphism and milk performance of dairy cattle. Scientia Agricultura Sinica 40(7):1498–1503

    CAS  Google Scholar 

Download references

Acknowledgements

This research was supported by “863” project of the Ministry of Science and Technology, P. R. China (No.2007AA10Z169), Program of National Cow Industrial Technology System (No.nycytx-0107), Well-bred project from Shandong province (No.2007LZ10-06) and Innovation Fund of Academy of Agricultural Sciences of Shandong Province (No.2006YCX028).

Author information

Authors and Affiliations

  1. Dairy Cattle Research Center, Shandong Academy of Agricultural Science, No.159–1 industry north road, Jinan, Shandong province, 250100, P.R.China

    Wenyan Liu, Ji Wang, Qiuling Li, Zhihua Ju, Jinming Huang, Hongmei Wang, Jianbin Li, Jifeng Zhong & Changfa Wang

  2. School of Agriculture, Ningxia University, Yinchuan, Ningxia, 750021, P.R. China

    Wenyan Liu & Shunde Liu

Authors
  1. Wenyan Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ji Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Qiuling Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Zhihua Ju
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jinming Huang
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Hongmei Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Shunde Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Jianbin Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Jifeng Zhong
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Changfa Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Changfa Wang.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 23 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Liu, W., Wang, J., Li, Q. et al. Correlation analysis between three novel SNPs of the Src gene in bovine and milk production traits. Mol Biol Rep 37, 3771–3777 (2010). https://doi.org/10.1007/s11033-010-0031-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11033-010-0031-4

Keywords

Search

Navigation