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Polymorphism identification, RH mapping and association of placental lactogen gene with milk production traits of dairy cows

Published online by Cambridge University Press:  01 January 2009

J. Zhang ,
D. X. Sun ,
J. E. Womack ,
Y. C. Wang ,
Y. Yu ,
R. Liu  and
Y. Zhang
J. Zhang*
Affiliation:
Department of Animal Genetics and Breeding, Key Laboratory of Animal Genetics and Breeding of Ministry of Agriculture, China Agricultural University, Beijing 100094, China
D. X. Sun
Affiliation:
Department of Animal Genetics and Breeding, Key Laboratory of Animal Genetics and Breeding of Ministry of Agriculture, China Agricultural University, Beijing 100094, China
J. E. Womack
Affiliation:
Department of Veterinary Pathobiology, Texas A&M University, College Station, TX 77843, USA
Y. C. Wang
Affiliation:
Department of Animal Genetics and Breeding, Key Laboratory of Animal Genetics and Breeding of Ministry of Agriculture, China Agricultural University, Beijing 100094, China
Y. Yu
Affiliation:
Department of Animal Genetics and Breeding, Key Laboratory of Animal Genetics and Breeding of Ministry of Agriculture, China Agricultural University, Beijing 100094, China
R. Liu
Affiliation:
Department of Animal Genetics and Breeding, Key Laboratory of Animal Genetics and Breeding of Ministry of Agriculture, China Agricultural University, Beijing 100094, China
Y. Zhang*
Affiliation:
Department of Animal Genetics and Breeding, Key Laboratory of Animal Genetics and Breeding of Ministry of Agriculture, China Agricultural University, Beijing 100094, China
*
E-mail: changy@cau.edu.cn
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Abstract

Bovine placental lactogen (bPL) is structurally related to prolactin (PRL) and growth hormone (GH). In synergism with steroid and thyroid hormones, bPL is crucial in stimulating the development of the mammary gland, mammary cell differentiation and function. To further explore whether bPL gene is associated with milk production traits, we herein analyzed single-nucleotide polymorphisms (SNPs) within eight regions of bPL gene, which are potentially associated with five milk production traits on 1028 Chinese Holstein cows. Among these, two SNPs, NT7409(T–C) and Nt11246(G–A), were identified. The former is within exon 2; it induces an alteration of amino acid from Val to Ala. The later is within exon 4. It is a synonymous mutation. We found that there were significant associations between NT7409(T–C) and milk and protein yield. Cows of the AA genotype yielded less milk (P = 0.001) and less protein (P = 0.003) than those of genotypes AB and BB. However, on the NT11246(G–A) locus, no significant association was observed in the five milk production traits studied. In addition, bPL has been localized near markers RM185 and CC549051 with a distance of 23.2 cR on BTA 23. It is at the same position as the region including quantitative trait loci (QTLs) affecting milk and protein yields by previous linkage analysis. In summary, our findings demonstrated that the SNP within exon 2 of bPL (NT7409(T–C)) is associated with two milk production traits, and this provided further evidence that bPL could be a major gene-controlling milk production trait in Holstein dairy cattle.

Keywords

bPLassociation analysisRH mappingdairy cows
Type
Full Paper
Information
animal , Volume 3 , Issue 1 , January 2009 , pp. 1 - 5
Copyright
Copyright © The Animal Consortium 2008

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References

Bennewitz, J, Reinsch, N, Grohs, C, Leveziel, H, Malafosse, A, Thomsen, H, Xu, N, Looft, C, Kuhn, C, Brockmann, GA, Schwerin, M, Weimann, C, Hiendleder, S, Erhardt, G, Medjugorac, I, Russ, I, Forster, M, Brenig, B, Reinhardt, F, Reents, R, Averdunk, G, Blumel, J, Boichard, D, Kalm, E 2003. Combined analysis of data from two granddaughter designs: a simple strategy for QTL confirmation and increasing experimental power in dairy cattle. Genetics Selection Evolution 35, 319–338.CrossRefGoogle ScholarPubMed
Byatt, JC, Eppard, PJ, Veenhuizen, JJ, Curran, TL, Curran, DF, McGrath, MF, Collier, RJ 1994. Stimulation of mammogenesis and lactogenesis by recombinant bovine placental lactogen in steroid-primed dairy heifers. Journal of Endocrinology 140, 33–43.CrossRefGoogle ScholarPubMed
Cowie, AT, Tindal, JS, Yokoyama, A 1966. The induction of mammary growth in the hypophysectomized goat. Journal of Endocrinology 34, 185–195.CrossRefGoogle ScholarPubMed
Falconer, DS, Mackay, TFC 1996. Introduction to quantitative genetics, 4th edition.Longman Scientific and Technical, New York.Google Scholar
Groeneveld, E 1990. PEST user’s manual. Institute of Animal Husbandry and Animal Behaviour Federal Agricultural Research Centre (FAL), Mariensee, Germany.Google Scholar
Kessler, MA, Schuler, LA 1991. Structure of the bovine placental lactogen gene and alternative splicing of transcripts. DNA and Cell Biology 10, 93–104.CrossRefGoogle ScholarPubMed
Khatkar, MS, Thomson, PC, Tammen, I, Raadsma, HW 2004. Quantitative trait loci mapping in dairy cattle: review and meta-analysis. Genetics Selection Evolution 36, 163–190.CrossRefGoogle ScholarPubMed
Lynch, M, Walsh, B 1997. Genetics and analysis of quantitative traits. Sinauer Associates, Inc., Sunderland, MA, USA.Google Scholar
Misztal I 1999. Complex models, more data: simpler programming. Proceedings of the International Workshop on Computerized Cattle Breeding ‘99, Bulletin 20, Interbull, Tuusala, Finland.Google Scholar
Naoya, I, Takasuga, A, Mizoshita, K, Takeda, H, Sugimoto, M, Mizoguchi, Y, Hirano, T, Itoh, T, Watanabe, T, Reed, KM, Snelling, WM, Kappes, SM, Beattie, CW, Bennett, GL, Sugimoto, Y 2004. A comprehensive genetic map of the cattle genome based on 3802 microsatellites. Genome Research 14, 1987–1998.Google Scholar
Patel, OV, Hirako, M, Takahashi, T, Sasaki, N, Domeki, I 1996. Plasma bovine placental lactogen concentration throughout pregnancy in the cow. Relationship to stage of pregnancy, fetal mass, number and postpartum milk yield. Domestic Animal Endocrinology 13, 351–359.CrossRefGoogle ScholarPubMed
Qu, LJ, Li, XY, Wu, GQ, Yang, N 2005. Efficient and sensitive method of DNA silver staining in polyacrylamide gel. Electrophoresis 26, 99–101.CrossRefGoogle Scholar
Schams, D, Russe, I, Schellenberg, E, Prokopp, S, Chan, JSC 1984. The role of steroid hormones, prolactin and placental lactogen on mammary gland development in ewes and heifers. Journal of Endocrinology 102, 121–130.CrossRefGoogle ScholarPubMed
Schuler, LA, Shimomura, K, Kessler, MA, Zieler, CG, Bremel, RD 1988. Bovine placental lactogen: molecular cloning and protein structure. Biochemistry 27, 8443–8448.CrossRefGoogle ScholarPubMed
Slonim, D, Kruglyak, L, Stein, L, Lander, E 1997. Building human genome maps with radiation hybrids. Journal of Computational Biology 4, 487–504.CrossRefGoogle ScholarPubMed
Everts-van der Wind, A, Larkin, DM, Green, CA, Elliott, JS, Olmstead, CA, Chiu, R, Schein, JE, Marra, MA, Womack, JE, Lewin, HA 2005. A high-resolution whole-genome cattle–human comparative map reveals details of mammalian chromosome evolution. Proceedings of the National Academy of Sciences 102, 18526–18531.CrossRefGoogle ScholarPubMed
Womack, JE, Johnson, JS, Owens, EK, Rexroad, CE, Schlapfer, J, Yang, YP 1997. A whole-genome radiation hybrid panel for bovine gene mapping. Mammalian Genome 8, 854–856.CrossRefGoogle ScholarPubMed