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The effect of long term under- and over-feeding on the expression of six major milk protein genes in the mammary tissue of sheep

Published online by Cambridge University Press:  01 July 2015

Eleni Tsiplakou ,
Emmanouil Flemetakis ,
Evangelia-Diamanto Kouri ,
George Karalias ,
Kyriaki Sotirakoglou  and
George Zervas
Eleni Tsiplakou*
Affiliation:
Department of Nutritional Physiology and Feeding, Agricultural University of Athens, Iera Odos 75, GR-11855, Athens, Greece
Emmanouil Flemetakis
Affiliation:
Department of Agricultural Biotechnology, Agricultural University of Athens, Iera Odos 75, GR-11855, Athens, Greece
Evangelia-Diamanto Kouri
Affiliation:
Department of Agricultural Biotechnology, Agricultural University of Athens, Iera Odos 75, GR-11855, Athens, Greece
George Karalias
Affiliation:
Department of Agricultural Biotechnology, Agricultural University of Athens, Iera Odos 75, GR-11855, Athens, Greece
Kyriaki Sotirakoglou
Affiliation:
Department of Plant Breeding and Biometry, Agricultural University of Athens, Iera Odos 75, GR-11855, Athens, Greece
George Zervas
Affiliation:
Department of Nutritional Physiology and Feeding, Agricultural University of Athens, Iera Odos 75, GR-11855, Athens, Greece
*
*For correspondence; e-mail: eltsiplakou@aua.gr
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Abstract

Milk protein synthesis in the mammary gland involves expression of six major milk protein genes whose nutritional regulation remains poorly defined. In this study, the effect of long term under- and over-feeding on the expression of αs1-casein: CSN1S1, αs2-casein: CSN1S2, β-casein: CSN2, κ-casein: CSN3, α-lactalbumin: LALBA and β-lactoglobulin: BLG gene in sheep mammary tissue (MT) was examined. Twenty-four lactating dairy sheep, at 90–98 d in milk, were divided into three groups and fed the same ration, for 60 d, in quantities which met 70% (underfeeding), 100% (control) and 130% (overfeeding) of their energy and crude protein requirements. The results showed a significant reduction on mRNA of CSN1S1, CSN1S2, CSN2 and BLG gene in the MT of underfed sheep compared with the overfed ones and a significant reduction in CSN3 and LALBA gene expression compared with the respective control animals. Significant positive correlations were observed between the mRNA levels of milk proteins’ genes with the milk protein yield and milk yield respectively. In conclusion, the feeding level and consequently the nutrients availability, affected the milk protein yield and milk volume by altering the CSN1S1, CSN1S2, CSN2, CSN3, LALBA and BLG gene expression involved in their metabolic pathways.

Keywords

Underfeedingoverfeedingprotein genesheep
Type
Research Article
Information
Journal of Dairy Research , Volume 82 , Issue 3 , August 2015 , pp. 257 - 264
Copyright
Copyright © Proprietors of Journal of Dairy Research 2015 

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References

Association of Official Analytical Chemists International 1984 Official Methods of Analysis, 14th edition.Arlington, Virginia 22209 USAGoogle Scholar
Auldist, MJ, Thomson, NA, Mackle, TR, Hill, JP & Prosser, CG 2000 Effects of pasture allowance on the yield and composition of milk from cows of different beta-lactoglobulin phenotypes. Journal of Dairy Science 83 2069–2074CrossRefGoogle ScholarPubMed
Barłowska, J, Wolanciuk, A, Litwińczuk, Z & Król, J 2012 Milk Proteins’ Polymorphism in Various Species of Animals Associated with Milk Production Utility. Biochemistry, Genetics and Molecular Biology» “Milk Protein”, book edited by WL Hurley, ISBN 978-953-51-0743-9, pp 235–264Google Scholar
Ben Chedly, H, Lacasse, P, Marnet, PG, Komara, M, Marion, S & Boutinaud, M 2011 Use of milk epithelial cells to study regulation of cell activity and apoptosis during once-daily milking goats. Animal 5 572–579CrossRefGoogle Scholar
Bionaz, M & Loor, JJ 2007 Identification of reference genes for quantitative real-time PCR in the bovine mammary gland during the lactation cycle. Physiological Genomics 29 312–319CrossRefGoogle ScholarPubMed
Bocquier, F & Caja, G 2001 Production et composition du lait de brebis: effets de l'alimentation, Production and composition of ewe milk: feeding effects. INRA Productions Animales 14 129–140CrossRefGoogle Scholar
Bonnet, M, Bernard, L, Bes, S & Leroux, C 2013 Selection of reference genes for quantitative real- time PCR normalization in adipose tissue, muscle, liver and mammary gland from ruminants. Animal 7 1344–1353CrossRefGoogle ScholarPubMed
Boutinaud, M, Ben Chedly, MH, Delamaire, E & Guinard-Flament, J 2008 Milking and feed restriction regulate transcripts of mammary epithelial cells purified from milk. Journal of Dairy Science 91 988–998CrossRefGoogle ScholarPubMed
Cannas, A, Pes, A, Mancuso, R, Vodret, B & Nudda, A 1998 Effect of dietary energy and protein concentration on the concentration of milk urea nitrogen in dairy ewes. Journal of Dairy Science 81 499–508CrossRefGoogle ScholarPubMed
Carcangiu, V, Mura, MC, Daga, C, Luridiana, S, Bodano, S, Sanna, GA, Diaz, ML & Cosso, G 2013 Association between SREBP-1 gene expression in mammary gland and milk fat yield in Sarda breed sheep. Meta Gene 1 43–49CrossRefGoogle ScholarPubMed
Chen, LM, Li, ZT, Wang, MZ & Wang, HR 2013 Preliminary report of arginine on synthesis and gene expression of casein in bovine mammary epithelial cell. International Research Journal of Agricultural Science and Soil Science 3 17–23Google Scholar
Choi, KM, Barash, I & Rhoads, RE 2004 Insulin and prolactin synergetically stimulate beta casein messenger ribonucleic acid translation by cytoplasmic polyadenylation. Molecular Endocrinology 18 1670–1686CrossRefGoogle Scholar
Colitti, M & Farinacci, M 2009 Cell turnover and gene activities in sheep mammary glands prior to lambing to involution. Tissue and Cell 41 326–333CrossRefGoogle ScholarPubMed
Colitti, M & Pulina, G 2010 Short communication: expression profile of caseins, estrogen and prolactin receptors in mammary glands of dairy ewes. Italian Journal of Animal Science 9 285–289CrossRefGoogle Scholar
Dessauge, F, Lollivier, V, Ponchon, B, Bruckmaier, R, Finot, L, Wiart, S, Cutullic, E, Disenhaus, C, Barbey, S & Bautinaud, M 2011 Effects of nutrient restriction on mammary cell ryrnover and mammary gland remodeling in lactating dairy cows. Journal of Dairy Science 94 4623–4635CrossRefGoogle ScholarPubMed
Finot, L, Guy-Marnet, P & Dessauge, F 2011 Reference gene selection for quantitative real-time PCR normalization: application in the caprine mammary gland. Small Ruminant Research 95 20–26CrossRefGoogle Scholar
Geursen, A & Grigor, MR 1987 Nutritional regulation of milk protein messenger RNA concentrations in mammary acini isolated from lactating rats. Biochemistry International 15 873–879Google ScholarPubMed
Giambra, IJ, Brandt, H & Erhardt, G 2014 Milk protein variants are highly associated with milk performance traits in East Friesian Dairy and Lacaune sheep. Small Ruminant Research 121 382–394CrossRefGoogle Scholar
Hogan, JP 1975 Symposium: protein and amino acid nutrition in the high production cow. Quantitative aspects of nitrogen utilization in ruminants. Journal of Dairy Science 58 1164CrossRefGoogle Scholar
International Dairy Federation 1993 Determination of the nitrogen content of milk, Kjeldahl Method, International Standard FID-IDF 20b, Part 1, BrusselsGoogle Scholar
Kukovics, S & Németh, T 2013 Milk major and minor proteins, polymor- phisms, and non-protein nitrogen. In Milk and Dairy Products in Human Nutrition – Production, Composition and Health, pp 80–110 (Ed. Park, YW and Haenlein, GFW). ISBN 978-0-470-67418-5; Southern Gate, Chichester, West Sussex PO19 8SQ: John Wiley & Sons, Ltd., of The AtriumCrossRefGoogle Scholar
Li, XY 2011 The Ratio between Lysine and Methionine on Casein Synthesis in Bovine Mammary Epithelial Cells [D]. Beijing: Chinese Academy of Agricultural ScienceGoogle Scholar
Mackle, TR, Bryant, AM, Petch, SF, Hill, JP & Auldist, MJ 1999 Nutritional influences on the composition of milk from cows of different protein phenotypes in New Zealand. Journal of Dairy Science 82 172–180CrossRefGoogle ScholarPubMed
Menzies, KK, Lefévre, C, Macmillan, KL & Nicholas, KR 2009 Insulin regulates milk protein synthesis at multiple levels in the bovine mammary gland. Functional and Integrative Genomics 9 197–217CrossRefGoogle ScholarPubMed
Nocek, JE & Russell, JB 1988 Protein and energy as an integrated system. Relationship of ruminal protein and carbohydrate availability to microbial synthesis and milk production. Journal of Dairy Science 71 2070–2107CrossRefGoogle Scholar
Nørgaard, JV, Sørensen, MT, Theil, PK, Sehested, J & Sejrsen, K 2008 Effect of pregnancy and feeding level on cell turnover and expression of related genes in the mammary tissue of lactating dairy cows. Animal 2 588–594CrossRefGoogle ScholarPubMed
Ollier, S, Robert-Granie, C, Bernard, L, Chilliard, Y & Leroux, C 2007 Mammary transcriptome analysis of food-deprived lactating goats highlights genes involved in milk secretion and programmed cell death. Journal of Nutrition 137 560–567CrossRefGoogle ScholarPubMed
Pagano, RI, Pennisi, P, Valenti, B, Lanza, M, Di Trana, A, Di Gregorio, P, De Angelis, A & Avondo, M 2010 Effect of CSN1S1 genotype and its interaction with diet energy level on milk production and quality in Girgentana goats fed ad libitum. Journal of Dairy Research 77 245–251CrossRefGoogle ScholarPubMed
Pirisi, A, Lauret, A & Dubeuf, JP 2007 Basic and incentive payments for goat and sheep milk in relation to quality. Small Ruminant Research 68 167–178CrossRefGoogle Scholar
Pulina, G, Nudda, A, Battacone, G & Cannas, A 2006 Effects of nutrition on the contents of fat, protein, somatic cells, aromatic compounds, and undesirable substances in sheep milk. Animal Feed Science and Technology 131 255–291CrossRefGoogle Scholar
Ramakers, C, Ruijter, JM, Deprez, RH & Moorman, AF 2003 Assumption-free analysis of quantitative real-time polymerase chain reaction (PCR) data. Neuroscience Letters 339 62–66CrossRefGoogle ScholarPubMed
Selvaggi, M, Ladadio, V, Dario, C & Tufarelli, V 2014 Investigating the genetic polymorphism of sheep milk proteins: a useful tool for dairy production. Journal of the Science of the Food and Agriculture 94 3090–3099CrossRefGoogle ScholarPubMed
Shao, Y, Wall, EH, McFadden, TB, Misra, Y, Qian, X, Blauwiekel, R, Kerr, D & Zhao, F-Q 2013 Lactogenic hormones stimulate expression of lipogenic genes but not glucose transporters in bovine mammary gland. Domestic Animal Endocrinology 44 57–69CrossRefGoogle Scholar
Sigl, T, Meyer, HHD & Wiedemann, S 2012 Gene expression of six major milk proteins in primary bovine mammary epithelial cells isolated from milk during the first twenty weeks of lactation. Czech Journal of Animal Science 57 469–480CrossRefGoogle Scholar
Sigl, T, Meyer, HHD & Wiedemann, S 2014 Gene expression analysis of protein synthesis pathways in bovine mammary epithelial cells purified from milk during lactation and short-term restricted feeding. Journal of Animal Physiology and Animal Nutrition 98 84–95CrossRefGoogle ScholarPubMed
Tsiplakou, E, Chadio, S & Zervas, G 2012 The effect of long term under- and over- feeding of sheep on milk and plasma fatty acids profile and on insulin and leptin concentrations. Journal of Dairy Research 79 192–200CrossRefGoogle ScholarPubMed
Valenti, B, Pagano, RI & Avondo, M 2012 Effect of diet at different energy levels on milk casein composition of Girgentana goats differing in CSN1S1 genotype. Small Ruminant Research 105 135–139CrossRefGoogle Scholar
Van Soest, PJ, Robertson, JB & Lewis, BA 1991 Methods for dietary fibre, neutral detergent fibre and non starch polysaccharide in relation to animal nutrition. Journal of Dairy Science 74 3583–3597CrossRefGoogle ScholarPubMed
Wang, Z, Gerstein, M & Snyder, M 2009 RNA-Seq: a revolutionary tool for transcriptomics. Nature Reviews Genetics 10 57–63CrossRefGoogle ScholarPubMed
Wickramasinghe, S, Rincon, G, Islas-Trejo, A & Medrano, JF 2012 Transcriptional profiling of bovine milk using RNA sequencing. BMC Genomics 13 1–14CrossRefGoogle ScholarPubMed
Yang, JY, Wu, YM & Liu, JX 2007 Effects of methionine and methionylmethionine on expression of casein a_(s1) gene in cultured bovine mammary epithelial cells. Journal of Agricultural Biotechnology 1 24–27Google Scholar
Zervas, G 2007 Ration Formulation. Athens: StamoulisGoogle Scholar
Zervas, G & Tsiplakou, E 2011 The effect of feeding systems on the characteristics of products from small ruminants. Small Ruminant Research 101 140–149CrossRefGoogle Scholar