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Cattle genomics and its implications for future nutritional strategies for dairy cattle

Published online by Cambridge University Press:  19 December 2011

S. Seo*
Affiliation:
Department of Animal Biosystem Sciences, Chungnam National University, Daejeon 305-764, Korea
D. M. Larkin
Affiliation:
Institute of Biological, Environmental and Rural Sciences (IBERS), Aberystwyth University, Aberystwyth, Ceredigion SY23 3DA, UK
J. J. Loor
Affiliation:
Division of Nutritional Sciences, Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
*
E-mail: swseo@cnu.kr
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Abstract

The recently sequenced cattle (Bos taurus) genome unraveled the unique genomic features of the species and provided the molecular basis for applying a systemic approach to systematically link genomic information to metabolic traits. Comparative analysis has identified a variety of evolutionary adaptive features in the cattle genome, such as an expansion of the gene families related to the rumen function, large number of chromosomal rearrangements affecting regulation of genes for lactation, and chromosomal rearrangements that are associated with segmental duplications and copy number variations. Metabolic reconstruction of the cattle genome has revealed that core metabolic pathways are highly conserved among mammals although five metabolic genes are deleted or highly diverged and seven metabolic genes are present in duplicate in the cattle genome compared to their human counter parts. The evolutionary loss and gain of metabolic genes in the cattle genome may reflect metabolic adaptations of cattle. Metabolic reconstruction also provides a platform for better understanding of metabolic regulation in cattle and ruminants. A substantial body of transcriptomics data from dairy and beef cattle under different nutritional management and across different stages of growth and lactation are already available and will aid in linking the genome with metabolism and nutritional physiology of cattle. Application of cattle genomics has great potential for future development of nutritional strategies to improve efficiency and sustainability of beef and milk production. One of the biggest challenges is to integrate genomic and phenotypic data and interpret them in a biological and practical platform. Systems biology, a holistic and systemic approach, will be very useful in overcoming this challenge.

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Full Paper
Copyright
Copyright © The Animal Consortium 2011

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References

Alekseyev, MA, Pevzner, PA 2010. Comparative genomics reveals birth and death of fragile regions in mammalian evolution. Genome Biology 11, R117.Google Scholar
Aury, JM, Jaillon, O, Duret, L, Noel, B, Jubin, C, Porcel, BM, Ségurens, B, Daubin, V, Anthouard, V, Aiach, N, Arnaiz, O, Billaut, A, Beisson, J, Blanc, I, Bouhouche, K, Câmara, F, Duharcourt, S, Guigo, R, Gogendeau, D, Katinka, M, Keller, AM, Kissmehl, R, Klotz, C, Koll, F, Le Mouël, A, Lepère, G, Malinsky, S, Nowacki, M, Nowak, JK, Plattner, H, Poulain, J, Ruiz, F, Serrano, V, Zagulski, M, Dessen, P, Bétermier, M, Weissenbach, J, Scarpelli, C, Schächter, V, Sperling, L, Meyer, E, Cohen, J, Wincker, P 2006. Global trends of whole-genome duplications revealed by the ciliate paramecium tetraurelia. Nature 444, 171178.Google Scholar
Bailey, JA, Baertsch, R, Kent, WJ, Haussler, D, Eichler, EE 2004. Hotspots of mammalian chromosomal evolution. Genome Biology 5, R23.21R23.27.Google Scholar
Baldwin, RL 1995. Modeling ruminant digestion and metabolism. Chapman & Hall, London; New York.Google Scholar
Baldwin, RLV, Jesse, BW 1992. Developmental changes in glucose and butyrate metabolism by isolated sheep ruminal cells. Journal of Nutrition 122, 11491153.Google Scholar
Ballou, MA, Gomes, RC, Juchem, SO, DePeters, EJ 2009. Effects of dietary supplemental fish oil during the peripartum period on blood metabolites and hepatic fatty acid compositions and total triacylglycerol concentrations of multiparous holstein cows. Journal of Dairy Science 92, 657669.Google Scholar
Band, MR, Larson, JH, Rebeiz, M, Green, CA, Heyen, DW, Donovan, J, Windish, R, Steining, C, Mahyuddin, P, Womack, JE, Lewin, HA 2000. An ordered comparative map of the cattle and human genomes. Genome Research 10, 13591368.Google Scholar
Benjamini, Y, Hochberg, Y 1995. Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society Series B-Methodological 57, 289300.Google Scholar
Berry, DP, Meade, KG, Mullen, MP, Butler, S, Diskin, MG, Morris, D, Creevey, CJ 2011. The integration of ‘omic’ disciplines and systems biology in cattle breeding. Animal 5, 493505.Google Scholar
Bertoni, G, Trevisi, E, Lombardelli, R 2009. Some new aspects of nutrition, health conditions and fertility of intensively reared dairy cows. Italian Journal of Animal Science 8, 491518.Google Scholar
Cánovas, A, Rincon, G, Islas-Trejo, A, Wickramasinghe, S, Medrano, JF 2010. SNP discovery in the bovine milk transcriptome using RNA-Seq technology. Mammalian Genome 21, 592598.Google Scholar
Chowdhary, BP, Fronicke, L, Gustavsson, I, Scherthan, H 1996. Comparative analysis of the cattle and human genomes: detection of ZOO-FISH and gene mapping-based chromosomal homologies. Mammalian Genome 7, 297302.Google Scholar
Columbano, A, Ledda-Columbano, GM 2003. Mitogenesis by ligands of nuclear receptors: an attractive model for the study of the molecular mechanisms implicated in liver growth. Cell Death and Differentiation 10, S19S21.CrossRefGoogle Scholar
Connor, EE, Baldwin, RL, Capuco, AV, Evock-Clover, CM, Ellis, SE, Sciabica, KS 2010. Characterization of glucagon-like peptide 2 pathway member expression in bovine gastrointestinal tract. Journal of Dairy Science 93, 51675178.Google Scholar
Drackley, JK, Donkin, SS, Reynolds, CK 2006. Major advances in fundamental dairy cattle nutrition. Journal of Dairy Science 89, 13241336.Google Scholar
Eisen, MB, Spellman, PT, Brown, PO, Botstein, D 1998. Cluster analysis and display of genome-wide expression patterns. Proceedings of the National Academy of Sciences of the United States of America 95, 1486314868.Google Scholar
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 of the United States of America 102, 1852618531.Google Scholar
Everts-van der Wind, A, Kata, SR, Band, MR, Rebeiz, M, Larkin, DM, Everts, RE, Green, CA, Liu, L, Natarajan, S, Goldammer, T, Lee, JH, McKay, S, Womack, JE, Lewin, HA 2004. A 1463 gene cattle-human comparative map with anchor points defined by human genome sequence coordinates. Genome Research 14, 14241437.Google Scholar
Gout, JF, Duret, L, Kahn, D 2009. Differential retention of metabolic genes following whole-genome duplication. Molecular Biology Evolution 26, 10671072.Google Scholar
Hayes, H 1995. Chromosome painting with human chromosome-specific DNA libraries reveals the extent and distribution of conserved segments in bovine chromosomes. Cytogenetics and Cell Genetics 71, 168174.Google Scholar
Hocquette, JF, Lehnert, S, Barendse, W, Cassar-Malek, I, Picard, B 2007. Recent advances in cattle functional genomics and their application to beef quality. Animal 1, 159173.Google Scholar
Hocquette, JF, Gondret, F, Baéza, E, Médale, F, Jurie, C, Pethick, DW 2010. Intramuscular fat content in meat-producing animals: development, genetic and nutritional control, and identification of putative markers. Animal 4, 303319.Google Scholar
Huang, DW, Sherman, BT, Zheng, X, Yang, J, Imamichi, T, Stephens, R, Lempicki, RA 2009. Extracting biological meaning from large gene lists with DAVID. Current Protocols in Bioinformatics 27, 13.11.1.CrossRefGoogle Scholar
Janovick, NA, Drackley, JK 2010. Prepartum dietary management of energy intake affects postpartum intake and lactation performance by primiparous and multiparous holstein cows. Journal of Dairy Science 93, 30863102.CrossRefGoogle ScholarPubMed
Janovick, NA, Loor, JJ, Ji, P, Everts, RE, Lewin, HA, Rodriguez-Zas, SL, Drackley, JK 2009. Overfeeding energy prepartum dramatically affects peripartal expression of mRNA transcripts in subcutaneous adipose tissue compared with controlling energy intake prepartum. Journal of Dairy Science 92, 709.Google Scholar
Jesse, BW, Solomon, RK, Baldwin, RL 1992. Palmitate metabolism by isolated sheep rumen epithelial cells. Journal of Animal Science 70, 22352242.Google Scholar
Jump, DB 2011. Fatty acid regulation of hepatic lipid metabolism. Current Opinion in Clinical Nutrition and Metabolic Care 14, 115120.Google Scholar
Karp, PD, Paley, SM, Krummenacker, M, Latendresse, M, Dale, JM, Lee, TJ, Kaipa, P, Gilham, F, Spaulding, A, Popescu, L, Altman, T, Paulsen, I, Keseler, IM, Caspi, R 2010. Pathway tools version 13.0: integrated software for pathway/genome informatics and systems biology. Briefings in Bioinformatics 11, 4079.Google Scholar
Khan, MJ, Schmitt, E, Ballou, MA, DePeters, EJ, Rodriguez-Zas, SL, Everts, RE, Lewin, HA, Drackley, JK, Loor, JJ 2010. Liver transcriptomics in holstein cows fed lipid supplements during the peripartal period. Journal of Dairy Science 93, 1060.Google Scholar
Kim, WS, Lee, SY, Seo, S 2010. Development of an amalgamated cattle genome database based on Btau_4.0. In Proceedings of The 14th AAAP Animal Science Congress, p. 30, Pingtung, Taiwan, ROC.Google Scholar
Kim, WS, Lee, SY, Seo, S 2011. Gene evolution in metabolic pathways of the cattle genome. In Plant and animal genome XIX, p. 153. San Diego, CA, USA.Google Scholar
Kitano, H 2002. Computational systems biology. Nature 420, 206210.Google Scholar
Koho, N, Maijala, V, Norberg, H, Nieminen, M, Poso, AR 2005. Expression of MCT1, MCT2 and MCT4 in the rumen, small intestine and liver of reindeer (Rangifer tarandus tarandus L.). Comparative Biochemistry and Physiology. Part A, Molecular & Integrative Physiology 141, 2934.Google Scholar
Lane, MA, Baldwin, RLt, Jesse, BW 2002. Developmental changes in ketogenic enzyme gene expression during sheep rumen development. Journal of Animal Science 80, 15381544.Google Scholar
Larkin, DM, Pape, G, Donthu, R, Auvil, L, Welge, M, Lewin, HA 2009. Breakpoint regions and homologous synteny blocks in chromosomes have different evolutionary histories. Genome Research 19, 770777.Google Scholar
Loor, JJ 2010. Genomics of metabolic adaptations in the peripartal cow. Animal 4, 11101139.Google Scholar
Loor, JJ, Bionaz, M, Invernizzi, G 2011. Systems biology and animal nutrition: insights from the dairy cow during growth and the lactation cycle. In Systems biology and livestock science (ed. MFW te Pas, H Woelders and A Bannink), John Wiley & Sons, Germany. ISBN-13:978-0-8138-1174-1.Google Scholar
Loor, JJ, Dann, HM, Everts, RE, Oliveira, R, Green, CA, Guretzky, NAJ, Rodriguez-Zas, SL, Lewin, HA, Drackley, JK 2005. Temporal gene expression profiling of liver from periparturient dairy cows reveals complex adaptive mechanisms in hepatic function. Physiological Genomics 23, 217226.Google Scholar
Loor, JJ, Everts, RE, Bionaz, M, Dann, HM, Morin, DE, Oliveira, R, Rodriguez-Zas, SL, Drackley, JK, Lewin, HA 2007. Nutrition-induced ketosis alters metabolic and signaling gene networks in liver of periparturient dairy cows. Physiological Genomics 32, 105116.CrossRefGoogle ScholarPubMed
Loor, JJ, Dann, HM, Guretzky, NA, Everts, RE, Oliveira, R, Green, CA, Litherland, NB, Rodriguez-Zas, SL, Lewin, HA, Drackley, JK 2006. Plane of nutrition prepartum alters hepatic gene expression and function in dairy cows as assessed by longitudinal transcript and metabolic profiling. Physiological Genomics 27, 2941.Google Scholar
McCarthy, SD, Waters, SM, Kenny, DA, Diskin, MG, Fitzpatrick, R, Patton, J, Wathes, DC, Morris, DG 2010. Negative energy balance and hepatic gene expression patterns in high-yielding dairy cows during the early postpartum period: a global approach. Physiological Genomics 42A, 188199.Google Scholar
Murphy, WJ, Larkin, DM, Everts-van der Wind, A, Bourque, G, Tesler, G, Auvil, L, Beever, JE, Chowdhary, BP, Galibert, F, Gatzke, L, Hitte, C, Meyers, SN, Milan, D, Ostrander, EA, Pape, G, Parker, HG, Raudsepp, T, Rogatcheva, MB, Schook, LB, Skow, LC, Welge, M, Womack, JE, O'Brien S, J, Pevzner, PA, Lewin, HA 2005. Dynamics of mammalian chromosome evolution inferred from multispecies comparative maps. Science 309, 613617.CrossRefGoogle ScholarPubMed
Naeem, A, Drackley, JK, Stamey, J, Rodriguez-Zas, SL, Everts, RE, Lewin, HA, Loor, JJ 2010. Effect of high-protein milk replacer followed by high-protein starter on transcript profiles in ruminal tissue of Holstein bull calves. Journal of Dairy Science 93 (E-suppl. 1), 391.Google Scholar
Peddinti, D, Memili, E, Burgess, SC 2010. Proteomics-based systems biology modeling of bovine germinal vesicle stage oocyte and cumulus cell interaction. PLoS One 5, e11240.Google Scholar
Pitkänen, E, Rousu, J, Ukkonen, E 2010. Computational methods for metabolic reconstruction. Current Opinion in Biotechnology 21, 7077.Google Scholar
Qin, X, Gao, B 2006. The complement system in liver diseases. Cellular and Molecular Immunology 3, 333340.Google Scholar
Rosen, ED, MacDougald, OA 2006. Adipocyte differentiation from the inside out. Nature Reviews Molecular Cell Biology 7, 885896.Google Scholar
Schmitz, A, Oustry, A, Vaiman, D, Chaput, B, Frelat, G, Cribiu, EP 1998. Comparative karyotype of pig and cattle using whole chromosome painting probes. Hereditas 128, 257263.CrossRefGoogle ScholarPubMed
Seo, S, Lewin, HA 2009. Reconstruction of metabolic pathways for the cattle genome. BMC Systems Biology 3, 33.Google Scholar
Shen, Z, Seyfert, HM, Lohrke, B, Schneider, F, Zitnan, R, Chudy, A, Kuhla, S, Hammon, HM, Blum, JW, Martens, H, Hagemeister, H, Voigt, J 2004. An energy-rich diet causes rumen papillae proliferation associated with more IGF type 1 receptors and increased plasma IGF-1 concentrations in young goats. Journal of Nutrition 134, 1117.Google Scholar
Springer, MS, Murphy, WJ, Eizirik, E, O'Brien, SJ 2003. Placental mammal diversification and the cretaceous-tertiary boundary. Proceedings of the National Academy of Sciences of the United States of America 100, 10561061.Google Scholar
Steele, MA, Vandervoort, G, Alzahal, O, Hook, SE, Matthews, JC, McBride, BW 2011. Rumen epithelial adaptation to high-grain diets involves the coordinated regulation of genes involved in cholesterol homeostasis. Physiological Genomics 43, 308316.Google Scholar
Subramanian, A, Tamayo, P, Mootha, VK, Mukherjee, S, Ebert, BL, Gillette, MA, Paulovich, A, Pomeroy, SL, Golub, TR, Lander, ES, Mesirov, JP 2005. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proceedings of the National Academy of Sciences of the United States of America 102, 1554515550.Google Scholar
Sumner-Thomson, JM, Vierck, JL, McNamara, JP 2011. Differential expression of genes in adipose tissue of first-lactation dairy cattle. Journal of Dairy Science 94, 361369.Google Scholar
The Bovine Genome Sequencing and Analysis Consortium 2009. The genome sequence of taurine cattle: a window to ruminant biology and evolution. Science 324, 522528.CrossRefGoogle Scholar
Thiele, I, Palsson, 2010. A protocol for generating a high-quality genome-scale metabolic reconstruction. Nature Protocols 5, 93121.Google Scholar
Tsipouri, V, Schueler, MG, Hu, S, Dutra, A, Pak, E, Riethman, H, Green, ED 2008. Comparative sequence analyses reveal sites of ancestral chromosomal fusions in the Indian muntjac genome. Genome Biology 9, R155.Google Scholar
Wathes, DC, Cheng, Z, Chowdhury, W, Fenwick, MA, Fitzpatrick, R, Morris, DG, Patton, J, Murphy, JJ 2009. Negative energy balance alters global gene expression and immune responses in the uterus of postpartum dairy cows. Physiological Genomics 39, 113.Google Scholar
Weigand, E, Young, JW, McGilliard, AD 1972. Extent of propionate metabolism during absorption from the bovine ruminoreticulum. Biochemical Journal 126, 201209.Google Scholar
Womack, JE, Moll, YD 1986. Gene map of the cow: conservation of linkage with mouse and man. Journal of Heredity 77, 27.Google Scholar
Zammit, VA 1984. Mechanisms of regulation of the partition of fatty acids between oxidation and esterification in the liver. Progress in Lipid Research 23, 3967.Google Scholar
Zimin, AV, Delcher, AL, Florea, L, Kelley, DR, Schatz, MC, Puiu, D, Hanrahan, F, Pertea, G, Van Tassell, CP, Sonstegard, TS, Marcais, G, Roberts, M, Subramanian, P, Yorke, JA, Salzberg, SL 2009. A whole-genome assembly of the domestic cow, Bos taurus. Genome Biology 10, R42.Google Scholar