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Transcriptome profiling of four candidate milk genes in milk and tissue samples of temperate and tropical cattle

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Abstract

The expression of four genes involved in milk regulation and production in bovine milk and tissue samples profiled using quantitative PCR to identify differential gene expression. Our goal focussed on the differential mRNA expression of milk genes (K-CN, PRL, BLG and PIT-1) in milk samples and different tissues from four different breeds of ecologically adapted and geographically separated cattle species. The mRNA expression identified the four milk genes understudied most upregulated in mammary gland and milk samples as compared with other tissues. The expression of PIT-1 gene in the brain identified to have influenced the expression of PRL and K-CN in the mammary and milk samples. Among the four genes, PRL had the highest mRNA expression (144.19-fold change) in Holstein followed by K-CN with 100.89-fold change, while the smallest relative expression for most genes in this study are in the range from 0.79 to 7.35-fold difference. White Fulani cattle was identified to have a higher expression for K-CN, PRL and BLG compared with Angus and Ndama cattle, while Holstein cattle is on top of the list on the basis of the gene expression and gene regulation for all the four genes in this study. Also, White Fulani and Holstein are in the same cluster based on their mRNA expression for milk genes. Our data showed the first evidence of the molecular identification of indigenous White Fulani cattle of having potential for higher milk production.

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References

  • Abby T., Mike B. and Harjinder S. 2009 Milk proteins: from expression to food. Am. J. Hum. Biol. 21, 852–860.

    Article  Google Scholar 

  • Ahmadi M., Mohammadi Y., Darmani-kuhi H., Osfoori R. and Qanbari S. 2008 Association of milk protein genotypes with production traits and somatic cell count of Holstein cows. J. Biol. Sci. 8, 1231–1235.

    Article  CAS  Google Scholar 

  • Alfonso E., Rojas R., Herrera J. G., Ortega M. E., Lemus C., Cortez C. et al. 2012 Polymorphism of the prolactin (PRL) and its relationship with milk production in American Swiss cattle. Afr. J. Biotech. 11, 7338–7343.

    CAS  Google Scholar 

  • Ankur C., Madhu T., Satyendra P. S., Deepak S., Sumit K., Rakesh G. et al. 2015 PIT-1 gene polymorphism with milk production traits in Sahiwal cattle. Indian J. Anim. Sci. 85, 610–612.

    Google Scholar 

  • Baik M., Etchebarne B. E., Bong J. and Vander Haar M. J. 2009 Gene expression profiling of liver and mammary tissues of lactating dairy cows. Asian-Aust. J. Anim. Sci. 22, 871–884.

    Article  CAS  Google Scholar 

  • Banda M., Bommineni A., Thomas R. A., Luckinbill L. S. and Tucker J. D. 2007 Evaluation and validation of house-keeping genes in response to ionizing radiation and chemical exposure for normalizing RNA expression in real-time PCR. Mutat. Res./Genet. Toxicol. Environ. Mutagen 649, 126 –134.

    Article  Google Scholar 

  • Barber R. D., Harmer D. W., Coleman R. A. and Clark B. J. 2005 GAPDH as a housekeeping gene: analysis of GAPDH mRNA expression in a panel of 72 human tissues. Physiol. Genomics 21, 389–395.

    Article  CAS  Google Scholar 

  • Bayat S. M. and Houdebine L. M. 1993 Effect of various protein kinase inhibitors o the induction of milk protein gene expression by prolactin. Mol. Cell Endocrinol. 92, 127–134.

    Article  Google Scholar 

  • Bona G., Paracchini R., Giordano M. and Pomigliano-Richardi P. 2004 Genetic defects in GH synthesis and secretion. Eur. J. Endocrinol. 151, 53–59.

    Google Scholar 

  • Cane K. N., Arnould J. P. and Nicholas K. R. 2005 Characterisation of proteins in the milk of fur seals. Comp. Biochem. Physiol. B. Biochem. Mol. Biol. 141, 111 – 120.

    Article  CAS  Google Scholar 

  • Cánovas A., Rincon G., Islas-Trejo A., Wickramasinghe S. and Medrano J. F. 2010 SNP discovery in the bovine milk transcriptome using RNA-Seq technology. Mamm. Genome 21, 592–598.

    Article  Google Scholar 

  • Cohen L. E., Wondisford F. E. and Radovick S. 1997 Role of Pit-1 in the gene expression of growth hormone, prolactin and thyrotropin. Endocrinol. Metab. Clin. North Am. 25, 523–540.

    Article  Google Scholar 

  • Cole J. B., vanRaden P. M., O’Conell J. R., van Tassell C. P. and Sonstergard T. S. 2009 Distribution and location of genetic effects for dairy traits. J. Dairy Sci. 92, 2931–2946.

    Article  CAS  Google Scholar 

  • Cui X., Hou Y., Yang S., Xie Y., Zhang S., Zhang Y. et al. 2014 Transcriptional profiling of mammary gland in Holstein cows with extremely different milk protein and fat percentage using RNA sequencing. BMC Genomics 15, 226–241.

    Article  Google Scholar 

  • Daetwyler H. D., Pong-Wong R., Villanueva B. and Woolliams J. A. 2010 The impact of genetic architecture on genome-wide evaluation methods. Genetics 185, 1021–1031.

    Article  CAS  Google Scholar 

  • Farrell H. M. Jr., Jimenez-Flores R., Bleck G. T., Brown E. M., Butler J. E., Creamer L. K. et al. 2004 Nomenclature of the proteins of cows’ milk sixth revision. J. Dairy Sci. 87, 1641–1674.

    Article  Google Scholar 

  • Forni S., Aguilar I. and Misztal I. 2011 Different genomic relationship matrices for single-step analysis using phenotypic, pedigree and genomic information. Genet. Sel. Evol. 43, 1–7.

    Article  Google Scholar 

  • Fu J., Wolfs M. G., Deelen P., Westra H. J., Fehrmann R. S., Te Meerman G. J. et al. 2012 Unraveling the regulatory mechanisms under l Robert tissue-dependent genetic variation of gene expression. PLoS Genet. 8 e1002431.

    Article  CAS  Google Scholar 

  • Girard C. and Matte J. 2005. Folic acid and vitamin B12 requirements of dairy cows: A concept to be revised. Livestock Prod. Sci. 98, 123–133.

    Article  Google Scholar 

  • Graulet B., Matte J. J., Desrochers A., Doepel L., Palin M. F. and Girard C. L. 2007 Effects of dietary supplements of folic acid and vitamin \(\text{ B }_{12}\) on metabolism of dairy cows in early lactation. J. Dairy Sci. 90, 3442 – 3455.

    Article  CAS  Google Scholar 

  • Hansen P. J. 2004 Physiological and cellular adaptations of zebu cattle to thermal stress. Ani. Reproduct. Sci. 82, 349–360.

    Article  Google Scholar 

  • Hayes B. J., Pryce J., Chamberlain A. J., Bowman P. J. and Goddard M. E. 2010 Genetic architecture of complex traits and accuracy of genomic prediction: coat colour, milk-fat percentage, and type in Holstein cattle as contrasting model traits. PLoS Genet. 61, 100 –139.

    Google Scholar 

  • Hodne K., Haug T. M. and Weltzien F. A. 2010 Single-cell qPCR on dispersed primary pituitary cells—an optimized protocol. BMC Mol. Biol. 11, 82.

    Article  Google Scholar 

  • Hou M., Li Q. and Huang T. 2009 Microarray analysis of gene expression profiles in the bovine mammary gland during lactation. Sci. China Life Sci. 53, 248–256.

    Article  Google Scholar 

  • Jiménez-Montero J. A., González-Recio O. and Alenda R. 2011 Genotyping strategies for genomic selection in small dairy cattle populations. Animal 6, 1216–1224.

    Article  Google Scholar 

  • Kuljeet S., Richards A. E., Kara M. S. and Kerst S. 2010 Egipenetic regulation of milk production in dairy cows. J. Mammary Gland Biol. Neoplasia 15, 101–112.

    Article  Google Scholar 

  • Lacetera N., Bernabucci U., Scalia D., Basiricò L., Morera P. and Nardone, A. 2006 Heat stress elicits different responses in peripheral blood mononuclear cells from Brown Swiss and Holstein cows. J. Dairy Sci. 89, 4606–4612.

    Article  CAS  Google Scholar 

  • Laurie E. C., Fredric E. W. and Sally R. 1996 Role of PIT-1 in the gene expression of growth hormone, prolactin and thyrotropin. Endocrinol. Metab. Clin. North Am. 25, 523–540.

    Article  Google Scholar 

  • Lin C., Lin S. C., Chang C. P. and Rosenfeld M. G. 1994 Pit-1 dependent expression of the receptor for growth hormone releasing factor mediates pituitary cell growth. Nature 360, 765–768.

    Article  Google Scholar 

  • Liu W., Lauladerkind S. J. F., Hayman G. T., Wang S., Nigam R., Smith J. R. et al. 2015 Onto mate: a test-mining tool aiding curation at the rat genome database. Database 1–8.

  • Medrano J. F., Rincon G. and Islas-Trejo A. 2010 Comparative analysis of bovine milk and mammary gland transcriptome using RNA-seq. In 9th World congress on genetics applied to livestock production. Leipzig, German, August 1–6, paper no. 0852.

  • Mehmannavaz Y., Amirinia C., Bonyadi M. and Torshizi R. V. 2009 Effects of bovine prolactin gene polymorphism within exon 4 on milk related traits and genetic trends in Iranian Holstein bulls. African J. Biotechnol. 8, 4797–4801.

    CAS  Google Scholar 

  • Paula-Lopes F. F., Chase C. C. Jr., Al-katanani Y. M., Kriinger C. E., Rivera R. M., Tekin S. et al. 2003 Genetic divergence in cellular resistance to heat shock in cattle: differences between breeds developed in temperate versus hot climates in responses of preimplantation embryos, reproductive tract tissues and lymphocytes to increased culture temperatures. Reproduction 125, 285–294.

  • Raiz M. N., Malik N. A., Nasreen F. and Qureshi J. A. 2008 Molecular marker assisted study of kappa-casein gene in Nili-Ravi (Buffalo) breed of Pakistan. Pakistan Vet. J. 28, 103–106.

    Google Scholar 

  • Ran L., Pier L. D. and Eveline M. I. 2016 Comparative Analysis of the miRNome of bovine milk fat, whey and cells. PLoS One 11, 1–12.

    Google Scholar 

  • Rhoads M. L., Rhoads R. P., VanBaale M. J., Collier R. J., Sanders S. R., Weber W. J. et al. 2009 Effects of heat stress and plane of nutrition on lactating Holstein cows: I. production, metabolism and aspects of circulating somatotropin. J. Dairy Sci. 92, 1986–1997.

    Article  CAS  Google Scholar 

  • Rhodes S. J., Chen R., DiMattia G. E., Scully K. M., Kalla K. A., Lin S. C. et al. 1993 A tissue-specific enhancer confers Pit-1 dependent morphogen inducibility and autoregulation on the Pit-1 gene. Gene Devel. 7, 913–932.

    Article  CAS  Google Scholar 

  • Robert R. K., Mikael K. and Ales T. 2010 Statistical aspects of quantitative real-time PCR experiment design. Methods 50, 231–236.

    Article  Google Scholar 

  • Rosen R., Brown C., Heiman J., Leiblum S., Meston C. M., Shabsigh R. et al. 2000 The female sexual function index (FSFI): A multidimensional self-report instrument for the assessment of female sexual function. J. Sex Marital Therapy 26, 191–208.

    Article  CAS  Google Scholar 

  • Sheehy P. A., Della-Vedova J. J., Nicholas K. R. and Wynn P. C. 2004 Hormone dependent milk protein gene expression in bovine mammary explants from biopsies at different stage of pregnancy. J. Dairy Res. 71, 135–140.

    Article  CAS  Google Scholar 

  • Shwartz G., Rhoads M. L., VanBaale M. J., Rhoads R. P. and Baumgard L. H. 2009 Effects of a supplemental yeast culture on heat-stressed lactating Holstein cows. J. Dairy Sci. 92, 935–942.

    Article  CAS  Google Scholar 

  • Smolenski G., Haines S., Kwan F. Y., Bond J., Farr V., Davis S. R. et al. 2007 Characterization of host defense proteins in milk using a proteomic approach. J. Proteome Res. 6, 207–215.

    Article  CAS  Google Scholar 

  • Steinfelder H. J., Hauser P., Nakayama Y., Radovick S., McClaskey J. H., Taylor T. et al. 1991 Thyrotropin-releasing hormone regulation of human TSHß expression: role of a pituitary specific transcription factor (Pit-1/GHF-1) and potential interaction with a thyroid hormone-inhibitory element. Proc. Natl. Acad. Sci. USA 88, 3130–3134.

    Article  CAS  Google Scholar 

  • Ursula K. and Ken K. Y. 2016 Pituitary physiology and diagnostic evaluation. In Williams textbook of endocrinology, (ed. S. Melmed, K. S. Polonsky, P. R. Larsen and H. M. Kronenberg), 13th edition, pp. 176–231. Elsevier, Amsterdam.

  • Veerkamp R. F., Beerda B. and Vander L. T. 2003 Effects of genetic selection for milk yield on energy balance, levels of hormones, and metabolites in lactating cattle, and possible links to reduced fertility. Livestock Prod. Sci. 83, 257–275.

    Article  Google Scholar 

  • Wellmann R. and Bennewitz J. 2011 The contribution of dominance to the understanding of quantitative genetic variation. Genet. Res. 93, 139–154.

    Article  Google Scholar 

  • Whelehan C. J., Reidy A. B., Meade K. G., Eckersall P. D., Chapwanya A., Narcianda F. et al. 2014 Characterization and expression profile of bovinecathelicidin gene receptoire in mammary tissue. BMC Genomics 15, 128–140.

    Article  Google Scholar 

  • Wickramasinghe S., Hua S., Rincon G., Islas-Trejo A., German J. B., Lebrilla C. B. et al. 2011 Transcriptome Profiling of bovine milk oligosaccharide metabolism genes using RNA-Sequencing. PLoS One 6, e18895.

    Article  CAS  Google Scholar 

  • Wickramasinghe S., Rincon G., Islas-Trejo A. and Medrano J. F. 2012 Transcriptional profiling of bovine milk using RNA sequencing. BMC Genomics 13, 45.

    Article  CAS  Google Scholar 

  • Yang J., Jiang J., Liu X., Wang H., Guo G., Zhang Q. et al. 2015 Differential expression of genes in milk of dairy cattle during lactation. Anim. Genet. 47, 174–180.

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Animal Production and Health, Federal University of Technology, Akure, 340252, Nigeria

    Olanrewaju B. Morenikeji, Olawale J. Ogunshola & Clifford A. Chineke

  2. Animal Genetics and Genomics Laboratory, International Programs, College of Agriculture and Life Sciences, Cornell University, Ithaca, NY, 14853, USA

    Olanrewaju B. Morenikeji & Mabel O. Akinyemi

  3. Department of Animal Science, University of Ibadan, Ibadan, 200284, Nigeria

    Mabel O. Akinyemi

  4. Department of Animal Breeding and Genetics, Federal University of Agriculture, Abeokuta, 110124, Nigeria

    Mathew Wheto

  5. Department of Food Science and Technology, Federal University of Technology, Akure, 340252, Nigeria

    Adebanjo A. Badejo

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  1. Olanrewaju B. Morenikeji
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  2. Mabel O. Akinyemi
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  3. Mathew Wheto
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  4. Olawale J. Ogunshola
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  5. Adebanjo A. Badejo
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  6. Clifford A. Chineke
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Correspondence to Olanrewaju B. Morenikeji.

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Corresponding editor: H. A. Ranganath

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Morenikeji, O.B., Akinyemi, M.O., Wheto, M. et al. Transcriptome profiling of four candidate milk genes in milk and tissue samples of temperate and tropical cattle. J Genet 98, 25 (2019). https://doi.org/10.1007/s12041-019-1060-y

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  • DOI: https://doi.org/10.1007/s12041-019-1060-y

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