Hostname: page-component-848d4c4894-pftt2 Total loading time: 0 Render date: 2024-05-14T02:42:53.748Z Has data issue: false hasContentIssue false

Genome-wide study to detect single nucleotide polymorphisms associated with visceral and subcutaneous fat deposition in Holstein dairy cows

Published online by Cambridge University Press:  02 July 2018

P. Melendez*
Affiliation:
College of Veterinary Medicine, University of Missouri, Columbia, MO 65211, USA
S. E. Poock
Affiliation:
College of Veterinary Medicine, University of Missouri, Columbia, MO 65211, USA
P. Pithua
Affiliation:
College of Veterinary Medicine, University of Missouri, Columbia, MO 65211, USA
P. Pinedo
Affiliation:
Department of Animal Sciences, Colorado State University, Fort Collins, CO 80523, USA
D. Manriquez
Affiliation:
Department of Animal Sciences, Colorado State University, Fort Collins, CO 80523, USA
S. G. Moore
Affiliation:
Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA
J. D. Neal
Affiliation:
Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA
J. F. Taylor
Affiliation:
Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA
Get access

Abstract

Excessive abdominal fat might be associated with more severe metabolic disorders in Holstein cows. Our hypothesis was that there are genetic differences between cows with low and high abdominal fat deposition and a normal cover of subcutaneous adipose tissue. The objective of this study was to assess the genetic basis for variation in visceral adiposity in US Holstein cows. The study included adult Holstein cows sampled from a slaughterhouse (Green Bay, WI, USA) during September 2016. Only animals with a body condition score between 2.75 and 3.25 were considered. The extent of omental fat at the level of the insertion of the lesser omentum over the pylorus area was assessed. A group of 100 Holstein cows with an omental fold <5 mm in thickness and minimum fat deposition throughout the entire omentum, and the second group of 100 cows with an omental fold ⩾20 mm in thickness and with a marked fat deposition observed throughout the entire omentum were sampled. A small piece of muscle from the neck was collected from each cow into a sterile container for DNA extraction. Samples were submitted to a commercial laboratory for interrogation of genome-wide genomic variation using the Illumina BovineHD Beadchip. Genome-Wide association analysis was performed to test potential associations between fat deposition and genomic variation. A univariate mixed linear model analysis was performed using genome-wide efficient mixed model association to identify single nucleotide polymorphisms (SNPs) significantly associated with variation in a visceral fat deposition. The chip heritability was 0.686 and the estimated additive genetic and residual variance components were 0.427 and 0.074, respectively. In total, 11 SNPs defining four quantitative trait locus (QTL) regions were found to be significantly associated with visceral fat deposition (P<0.00001). Among them, two of the QTL were detected with four and five significantly associated SNPs, respectively; whereas, the QTLs detected on BTA12 and BTA19 were each detected with only one significantly associated SNP. No enriched gene ontology terms were found within the gene networks harboring these genes when supplied to DAVID using either the Bos taurus or human gene ontology databases. We conclude that excessive omental fat in Holstein cows with similar body condition scores is not caused by a single Mendelian locus and that the trait appears to be at least moderately heritable; consequently, selection to reduce excessive omental fat is potentially possible, but would require the generation of predicted transmitting abilities from larger and random samples of Holstein cattle.

Type
Research Article
Copyright
© The Animal Consortium 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abdelhaleem, M, Maltais, L and Wain, H 2003. The human DDX and DHX gene families of putative RNA helicases. Genomics 81, 618622.Google Scholar
Altshuler, D, Daly, MJ and Lander, ES 2008. Genetic mapping in human disease. Science 322, 881888.Google Scholar
Bene, FD and Wittbrodt, J 2005. Cell cycle control by homeobox genes in development and disease. Seminars in Cell and Developmental Biology 16, 449460.Google Scholar
Cawthorn, WP, Scheller, EL and MacDougald, OA 2012. Adipose tissue stem cells meet preadipocyte commitment: going back to the future. Journal of Lipid Research 53, 227246.Google Scholar
De Koster, JD and Opsomer, G 2013. Insulin resistance in dairy cows. Veterinary Clinics of North America Food Animal Practice 29, 299322.Google Scholar
DeMari, J, Mroske, C, Tang, S, Nimeh, J, Miller, R and Lebel, RR 2016. CLTC as a clinically novel gene associated with multiple malformations and developmental delay. American Journal of Medical Genetics 170A, 958966.Google Scholar
Do, DN, Bissonnette, N, Lacasse, P, Miglior, F, Sargolzaei, M, Zhao, X and Ibeagha-Awemu, EM 2017. Genome-wide association analysis and pathways enrichment for lactation persistency in Canadian Holstein cattle. Journal of Dairy Science 100, 19551970.Google Scholar
Doe, J, Kaindi, AM, Jijiwa, M, de la Vega, M, Hu, H, Griffiths, GS, Fontelonga, TM, Barraza, P, Cruz, V, Van Ry, P, Ramos, JW, Burkin, DJ and Matter, ML 2017. PTRH2 gene mutation causes progressive congenital skeletal muscle pathology. Human Molecular Genetics 26, 14581464.Google Scholar
Drackley, JK 1999. Biology of dairy cows during the transition period: the final frontier? Journal of Dairy Science 82, 22592273.Google Scholar
Duffaut, C, Zakaroff-Girard, A, Bourlier, V, Decaunes, P, Maumus, M, Chiotasso, P, Sengenès, C, Lafontan, M, Galitzky, J and Bouloumié, A 2009. Interplay between human adipocytes and T lymphocytes in obesity: CCL20 as an adipochemokine and T lymphocytes as lipogenic modulators. Arteriosclerosis Thrombosis and Vascular Biology 29, 16081614.Google Scholar
Faty, A, Ferré, P and Commans, S 2012. The acute phase protein Serum Amyloid A induces lipolysis and inflammation in human adipocytes through distinct pathways. PLos One 7, e34031.Google Scholar
Ferguson, JM, Galligan, DT and Thomsen, N 1994. Principal descriptors of body condition score in Holstein cows. Journal of Dairy Science 77, 26952703.Google Scholar
Geisler, CE and Renquist, BJ 2017. Hepatic lipid accumulation: cause and consequence of dysregulated glucoregulatory hormones. Journal of Endocrinology 234, R1R21.Google Scholar
Goff, JP and Horst, RL 1997. Physiological changes at parturition and their relationship to metabolic disorders. Journal of Dairy Science 80, 12601268.Google Scholar
Heid, IM, Jackson, AU, Randall, JC, Winkler, TW, Qi, L, Steinthorsdottir, V, Thorleifsson, G, Zillikens, MC, Speliotes, EK, Mägi, R et al 2010. MAGIC meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nature Genetics 42, 949960.Google Scholar
Hostens, M, Fievez, V, Leroy, JL, Van Ranst, J, Vlaeminck, B and Opsomer, G 2012. The fatty acid profile of subcutaneous and abdominal fat in dairy cows with left displacement of the abomasum. Journal of Dairy Science 95, 37563765.Google Scholar
Hosono, K, Sasaki, T, Minoshima, S and Shimizu, N 2004. Identification and characterization of a novel gene family YPEL in a wide spectrum of eukaryotic species. Gene 340, 3143.Google Scholar
Huang, DW, Sherman, BT and Lempicki, RA 2009a. Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists. Nucleic Acids Research 37, 113.Google Scholar
Huang, DW, Sherman, BT and Lempicki, RA 2009b. Systematic and integrative analysis of large gene lists using DAVID Bioinformatics Resources. Nature Protocols 4, 4457.Google Scholar
Huang, GH, Shan, H, Li, D, Zhou, B and Pang, PF 2017. MiR-199a-5p suppresses tumorigenesis by targeting clathrin heavy chain in hepatocellular carcinoma. Cell Biochemistry and Function 35, 98104.Google Scholar
Ingvartsen, KL and Andersen, JB 2000. Integration of metabolism and intake regulation: a review focusing on periparturient animals. Journal of Dairy Science 83, 15731597.Google Scholar
Liang, D, Arnold, LM, Stowe, CJ, Harmon, RJ and Bewley, JM 2017. Estimating US dairy clinical disease costs with a stochastic simulation model. Journal of Dairy Science 100, 14721486.Google Scholar
Locher, LF, Meyer, N, Weber, EM, Rehage, J, Meyer, U, Dänicke, S and Huber, K 2011. Hormone-sensitive lipase protein expression and extent of phosphorylation in subcutaneous and retroperitoneal adipose tissues in the periparturient dairy cow. Journal of Dairy Science 94, 45144523.Google Scholar
Loncle, C, Molejon, MI, Lac, S, Tellechea, JI, Lomberk, G, Gramatica, L, Fernandez Zapico, MF, Dusetti, N, Urrutia, R and Iovanna, JL 2016. The pancreatitis-associated protein VMP1, a key regulator of inducible autophagy, promotes KrasG12D-mediated pancreatic cancer initiation. Cell Death and Disease 7, e2295.Google Scholar
Meier, S, Verkerk, GA, Kay, JK, Macdonald, KA and Roche, JR 2013. Genetic ancestry modifies fatty acid concentrations in different adipose tissue depots and milk fat. Journal of Dairy Research 80, 197204.Google Scholar
Melendez, P and Risco, CA 2016. Reproduction, events and management pregnancy: periparturient disorders. In Reference module in food sciences (ed. J Smithers), pp. 17. Elsevier Inc, Amsterdam, the Netherlands.Google Scholar
Mömke, S, Sickinger, M, Lichtner, P, Doll, K, Rehage, J and Distl, O 2013. Genome-wide association analysis identifies loci for left-sided displacement of the abomasum in German Holstein cattle. Journal of Dairy Science 96, 39593964.Google Scholar
Olsson, P, Motegi, A, Bera, TK, Lee, B and Pastan, I 2003. PRAC2: a new gene expressed in human prostate and prostate cancer. The Prostate 56, 123130.Google Scholar
Peletto S, Strillacci MG, Capucchio MT, Biasibetti, Modesto P, Acutis PL and Bagnato A 2017. Genetic basis of Lipomatous Myopathy in Piedmontese beef cattle. Livestock Science 206, 9–16. Google Scholar
Picker-Minh, S, Mignot, C, Doummar, D, Hashem, M, Faqeih, E, Josset, P, Dubern, B, Alkuraya, FS, Kraemer, N and Kaindl, AM 2016. Phenotype variability of infantile-onset multisystem neurologic, endocrine, and pancreatic disease INMEPD. Orphanet Journal of Rare Diseases 11, 52.Google Scholar
Purcell, S, Neale, B, Todd-Brown, K, Thomas, L, Ferreira, M, Bender, D, Maller, J, Sklar, P, de Bakker, P, Daly, MJ and Sham, PC 2007. PLINK: a tool set for whole-genome and population-based linkage analyses. American Journal of Human Genetics 81, 559575.Google Scholar
Purfield, DC, McClure, M and Berry, DP 2016. Justification for setting the individual animal genotype call rate threshold at eighty-five percent. Journal of Animal Science 94, 45584569.Google Scholar
Quinones, SC and Innis, JW 2014. Human HOX gene disorders. Molecular Genetics and Metabolism 111, 415.Google Scholar
Raab, M, Smith, X, Matthess, Y, Strebhardt, K and Rudd, CE 2011. SKAP1 protein PH domain determines RapL membrane localization and Rap1 protein complex formation for T cell receptor (TCR) activation of LFA-1. Journal of Biological Chemistry 286, 2966329670.Google Scholar
Saremi, B, Sauerwein, H, Dänicke, S and Mielenz, M 2012. Technical note: identification of reference genes for gene expression studies in different bovine tissues focusing on different fat depots. Journal of Dairy Science 95, 31313138.Google Scholar
Schaefer, DM 2005. Yield and quality of Holstein beef. In Managing and marketing quality Holstein steers conference (ed. R Tigner and J Lehmkuhler), pp. 323333. Wisconsin Agriculture Service Association, Madison, WI, USA.Google Scholar
Singh, SP, Häussler, S, Heinz, JFL, Akter, SH, Saremi, B, Müller, U and Rehage, J 2014. Lactation driven dynamics of adiponectin supply from different fat depots to circulation in cows. Domestic Animal Endocrinology 47, 3546.Google Scholar
Tchkonia, T, Thomou, T, Zhu, Y, Karagiannides, I, Pothoulakis, C, Jensen, MD and Kirkland, JL 2013. Mechanisms and metabolic implications of regional differences among fat depots. Cell Metabolism 17, 644656.Google Scholar
Van Dorp, TE, Dekkers, JCM, Martin, SW and Noordhuizen, JP 1998. Genetic parameters of health disorders, and relationships with 305-day milk yield and conformation traits of registered Holstein cows. Journal of Dairy Science 81, 22642270.Google Scholar
Weller, JI, Ezra, E and Ron, M 2017. Invited review: a perspective on the future of genomic selection in dairy cattle. Journal of Dairy Science 100, 86338644.Google Scholar
Wigginton, JE, Cutler, DJ and Abecasis, GR 2005. A note on exact tests of Hardy-Weinberg equilibrium. American Journal of Human Genetics 76, 887893.Google Scholar
Wozniak, DF, Xiao, M, Xu, L, Yamada, KA and Ornitz, DM 2007. Impaired spatial learning and defective theta burst induced LTP in mice lacking fibroblast growth factor 14. Neurobiological Disorders 26, 1426.Google Scholar
Zhao, J, Wang, L, Zhou, H, Liu, L, Lu, A, Li, G, Schatten, H and Liang, C 2013. Clathrin heavy chain 1 is required for spindle assembly and chromosome congression in mouse oocytes. Microscopy and Microanalysis 19, 13641373.Google Scholar
Zhou, X and Stephens, M 2012. Genome-wide efficient mixed-model analysis for association studies. Nature Genetics 44, 821824.Google Scholar