Hostname: page-component-8448b6f56d-jr42d Total loading time: 0 Render date: 2024-04-19T17:28:12.360Z Has data issue: false hasContentIssue false

Genome-wide association study for longevity in the Holstein cattle population

Published online by Cambridge University Press:  03 December 2018

R. Steri
Affiliation:
Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria (CREA), via Salaria 31, 00015 Monterotondo, Italy
B. Moioli*
Affiliation:
Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria (CREA), via Salaria 31, 00015 Monterotondo, Italy
G. Catillo
Affiliation:
Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria (CREA), via Salaria 31, 00015 Monterotondo, Italy
A. Galli
Affiliation:
Istituto Sperimentale Italiano Lazzaro Spallanzani, Loc. La Quercia, 26027 Rivolta d’Adda, Italy Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria (CREA), viale Piacenza 29, 26900 Lodi, Italy
L. Buttazzoni
Affiliation:
Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria (CREA), via Salaria 31, 00015 Monterotondo, Italy
Get access

Abstract

Longevity is one of the most important traits determining dairy cow profitability. In the last decades dairy cows suffered a lowering in the age at culling. With the aim to identify the genes involved in longevity, dates of birth, yields, dates of calving during lifespan and culling dates were collected for 946 culled cows which had been genotyped with the Bovine High Density panel. Using the GenABEL package in R, genome-wide association analysis was performed on three potential traits of longevity: (1) ‘days in production,’ (2) ‘days in herd,’ (3) number of calvings over lifespan.’ Five genome-wide significant single nucleotide polymorphisms (SNPs) associated with all three longevity traits were detected. Several consecutive SNPs identified on chromosomes 16 and 30 indicated the presence of two suggestive quantitative trait loci (QTL). The genes comprised in the QTL regions had biological functions related to fertility, reproductive disorders, heat stress and welfare of cows. These findings might contribute to improving breeding strategies to improve longevity.

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

Abfalter, K, Brade, W and Distl, O 2016. Comparison of breeding values among cows withexceptional longevity and their contemporary herdmates in German Holsteins. Archives Animal Breeding 59, 7177.Google Scholar
Aulchenko, YS, Ripke, S, Isaacs, A and van Duijn, CM 2007. GenABEL: an R package for genome-wide association analysis. Bioinformatics 23, 12941296.Google Scholar
Benjamini, Y and Hochberg, Y 1995. Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society, Series B 57, 289300.Google Scholar
Chen, HY, Shen, H, Jia, B, Zhang, YS, Wang, X and Zeng, X 2014. Differential gene expression in ovaries of qira black sheep and hetian sheep using RNA-seq technique. PLoS One 10, e0120170.Google Scholar
de los Campos, G, Sorensen, D and Gianola, D 2015. Genomic heritability: what is it? PLoS Genetics 11, e1005048.Google Scholar
De Vries, A, Olson, JD and Pinedo, PJ 2010. Reproductive risk factors for culling and productive life in large dairy herds in the eastern United States between 2001 and 2006. Journal of Dairy Science 93, 613623.Google Scholar
Ducrocq, V 2005. An improved model for the French genetic evaluation of dairy bulls on length of productive life of their daughters. Animal Science 80, 249256.Google Scholar
Egger-Danner, C, Cole, JB, Pryce, JE, Gengler, N, Heringstad, B, Bradley, A and Stock, AF 2015. Invited review: overview of new traits and phenotyping strategies in dairy cattle with a focus on functional traits. Animal 9, 191207.Google Scholar
Falconer, D and Mackay, T 1996. Introduction to Quantitative Genetics. Pearson Education Limited, Harlow, Essex.Google Scholar
Heinrichs, AJ and Heinrichs, BS 2010. A prospective study of calf factors affecting first-lactation and lifetime milk production and age of cows when removed from the herd. Journal of Dairy Science 94, 336341.Google Scholar
Hinrichs, AL, Larkin, EK and Suarez, BK 2009. Population stratification and patterns of linkage disequilibrium. Genetic Epidemiology 33 (suppl. 1), S88S92.Google Scholar
Kapila, N, Sharma, A, Kishore, A, Sodhi, M, Tripathi, PK, Mohanty, AK and Mukesh, M 2016. Impact of heat stress on cellular and transcriptional adaptation of mammary epithelial cells in riverine buffalo. PLoS One 11, e0157237.Google Scholar
Kasimanickam, V and Kastelic, J 2016. Circulating cell-free mature microRNAs and their target gene prediction in bovine metritis. Scientific Reports 6, 29509.Google Scholar
Keel, BN, Lindholm-Perry, AK and Snelling, WM 2016. Evolutionary and functional features of copy number variation in the cattle genome. Frontiers in Genetics 7, 207.Google Scholar
Lopes, MS, Silva, FF, Harlizius, B, Duijvesteijin, N, Lopes, PS, Guimaraes, SE and Knol, E 2013. Improved estimation of inbreeding and kinship in pigs using optimized SNP panels. BMC Genetics 14, 92.Google Scholar
Mi, H, Muruganujan, A and Thomas, PD 2013. PANTHER in 2013: modeling the evolution of gene function, and other gene attributes, in the context of phylogenetic trees. Nucleic Acids Research 41, D377D386.Google Scholar
Morek-Kopec, M and Zarnecki, A 2012. Relationship between conformation traits and longevity in Polish Holstein Friesian cattle. Livestock Science 149, 5361.Google Scholar
Nakagawa, K, Sawada, N, Hirota, Y, Uchino, Y, Suhara, Y, Hasegawa, T, Amizuka, N, Okamoto, T, Tsugawa, N, Kamao, M, Funahashi, N and Okano, T 2014. Vitamin K2 biosynthetic enzyme, UBIAD1 is essential for embryonic development of mice. PloS One 9, e104078.Google Scholar
Nayeri, S, Sargolzaei, M, Abo-Ismail, MK, Miller, S, Schenkel, F, Moore, SS and Stothard, P 2017. Genome-wide association study for lactation persistency, female fertility, longevity, and lifetime profit index traits in Holstein dairy cattle. Journal of Dairy Science 100, 12461258.Google Scholar
Oltenacu, PA and Broom, DM 2010. The impact of genetic selection for increased milk yield on the welfare of dairy cows. Animal Welfare 19 (S), 3949.Google Scholar
Petersen, JL, Mickelson, JR, Cothran, EG, Andersson, LS, Axelsson, J, Bailey, E, Bannasch, D, Binns, M, Borges, AS, Brama, P, da Câmara Machado, A, Distl, O, Felicetti, M, Fox-Clipsham, L, Graves, KT, Guérin, G, Haase, B, Hasegawa, T, Hemmann, K, Hill, MW, Leeb, T, Lindgren, G, Lohi, H, Lopes, MS, McGivney, BA, Mikko, S, Orr, N, Penedo, MC, Piercy, RJ, Raekallio, M, Rieder, S, Røed, KH, Silvestrelli, M, Swinburne, J, Tozaki, T, Vaudin, M, Wade, CM and McCue, ME 2013. Genetic diversity in the modern horse illustrated from genome-wide SNP data. PLoS One 8, e54997e54997.Google Scholar
Pinedo, PJ, Daniels, A, Shumaker, J and De Vries, A 2014. Dynamics of culling for Jersey, Holstein, and Jersey×Holstein crossbred cows in large multibreed dairy herds. Journal of Dairy Science 97, 28862895.Google Scholar
Price, AL, Patterson, NJ, Plenge, RM, Weinblatt, ME, Shadick, MA and Reich, D. 2006. Principal components analysis corrects for stratification in genome-wide association studies. Nature Genetics 38, 904909.Google Scholar
Price, AL, Weale, ME, Patterson, N, Myers, SR, Need, AC, Shianna, KV, Ge, D, Rotter, JI, Torres, E, Taylor, KD, Goldstein, DB and Reich, D 2008. Long-range LD can confound genome scans in admixed populations. The American Journal of Human Genetics 83, 127147.Google Scholar
Pryce, JE, Bolormaa, S, Chamberlain, AJ, Bowman, PJ and Savin, K 2010. A validated genome-wide association study in 2 dairy cattle breeds for milk production and fertility traits using variable length haplotypes. Journal of Dairy Science 93, 33313345.Google Scholar
Purcell, S, Neale, B, Todd-Brown, K, Thomas, L, Ferreira, MA, Bender, D, Maller, J, Sklar, P, de Bakker, PI, Daly, MJ and Sham, PC 2007. PLINK: a tool set for whole-genome association and population-based linkage analyses. American Journal of Human Genetics 81, 559575.Google Scholar
Rauter, M 2014. Genome-wide association study for fertility related traits in Austrian Fleckvieh cattle. Master Thesis, University of Natural Resources and Life Sciences, Vienna, Austria.Google Scholar
SAS Institute Inc. 2017. SAS/STAT User’s Guide, Version 9.1. SAS Institute Inc., Cary, NC, USA.Google Scholar
Sawa, A and Bogucki, M 2017. Longevity of cows depending on their first lactation yield and herd production level. Annals of Animal Science 17, 11711183.Google Scholar
Sewalem, AF, Miglior, F, Kistemaker, GL, Sullivan, P and van Doormaal, BJ 2008. Relationship between reproduction traits and functional longevity in Canadian Dairy Cattle. Journal of Dairy Science 91, 16601668.Google Scholar
Speed, D, Hemani, G, Johnson, MR and Balding, DJ 2012. Improved heritability estimation from genome-wide SNPs. American Journal of Human Genetics 91, 10111021.Google Scholar
Soliman, G. 2013. The role of mechanistic target of rapamycin (mTOR) complexes signaling in the immune responses. Nutrients 5, 22312257.Google Scholar
Francesca, T, Ghirotto, S, Mezzavilla, M, Vilaça, ST, Santi, LD and Barbujani, G 2015. Early modern human dispersal from Africa: genomic evidence for multiple waves of migration. Investigative Genetics 6, 13.Google Scholar
Vollema, AR and Groen, AF 1996. Genetic parameters of longevity traits of an upgrading population of dairy cattle. Journal of Dairy Science 79, 22612267.Google Scholar
Vukasinovic, N, Moll, J and Casanova, L. 2001. Implementation of a routine genetic evaluation for longevity based on survival analysis techniques in dairy cattle populations in Switzerland. Journal of Dairy Science 84, 20732080.Google Scholar
Wu Xiaoping, FM, Liu, L, Wang, S, Liu, J, Ding, X, Zhang, S, Zhang, Q, Zhang, Y, Qiao, L, Lund, MS, Su, G and Sun, D 2013. Genome wide association studies for body conformation traits in the Chinese Holstein cattle population. BMC Genomics 14, 897.Google Scholar
Yang, J, Benyamin, B, McEvoy, BP, Gordon, S, Henders, AK, Nyholt, DR, Madden, PA, Heath, AC, Martin, NG, Montgomery, GW, Goddard, ME and Visscher, PM 2010. Common SNPs explain a large proportion of the heritability for human height. Nature Genetics 42, 565569.Google Scholar
Zavadilová, L and Štípková, M 2012. Genetic correlations between longevity and conformation traits in the Czech Holstein population. Czech Journal of Animal Science 57, 125136.Google Scholar
Zhang, Q, Guldbrandtsen, B, Thomasen, JR, Lund, MS and Sahana, G 2016. Genome-wide association study for longevity with whole-genome sequencing in 3 cattle breeds. Journal of Dairy Science 99, 72897298.Google Scholar
Supplementary material: File

Steri et al. supplementary material

Tables S1 and S2

Download Steri et al. supplementary material(File)
File 17.8 KB