Genomewide Association Analyses of Lactation Persistency and Milk Production Traits in Holstein Cattle Based on Imputed Whole-Genome Sequence Data

被引:59
作者
Pedrosa, Victor B. [1 ,2 ]
Schenkel, Flavio S. [3 ]
Chen, Shi-Yi [1 ,4 ]
Oliveira, Hinayah R. [1 ,3 ]
Casey, Theresa M. [1 ]
Melka, Melkaye G. [5 ]
Brito, Luiz F. [1 ]
机构
[1] Purdue Univ, Dept Anim Sci, W Lafayette, IN 47907 USA
[2] Univ Estadual Ponta Grossa, Dept Anim Sci, BR-84030900 Ponta Grossa, Parana, Brazil
[3] Univ Guelph, Ctr Genet Improvement Livestock, Dept Anim Biosci, Guelph, ON N1G 2W1, Canada
[4] Sichuan Agr Univ, Coll Anim Sci & Technol, Farm Anim Genet Resources Explorat & Innovat Key, Chengdu 611130, Peoples R China
[5] Univ Wisconsin, Dept Anim & Food Sci, River Falls, WI 54022 USA
关键词
dairy cattle; extended lactation; genetic variants; genomewide association study; GWAS; QTL; ECONOMICALLY IMPORTANT TRAITS; WIDE ASSOCIATION; CANDIDATE GENES; DAIRY-CATTLE; YIELD; VARIANTS; IDENTIFICATION; CHINESE; PROTEIN; COWS;
D O I
10.3390/genes12111830
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Lactation persistency and milk production are among the most economically important traits in the dairy industry. In this study, we explored the association of over 6.1 million imputed whole-genome sequence variants with lactation persistency (LP), milk yield (MILK), fat yield (FAT), fat percentage (FAT%), protein yield (PROT), and protein percentage (PROT%) in North American Holstein cattle. We identified 49, 3991, 2607, 4459, 805, and 5519 SNPs significantly associated with LP, MILK, FAT, FAT%, PROT, and PROT%, respectively. Various known associations were confirmed while several novel candidate genes were also revealed, including ARHGAP35, NPAS1, TMEM160, ZC3H4, SAE1, ZMIZ1, PPIF, LDB2, ABI3, SERPINB6, and SERPINB9 for LP; NIM1K, ZNF131, GABRG1, GABRA2, DCHS1, and SPIDR for MILK; NR6A1, OLFML2A, EXT2, POLD1, GOT1, and ETV6 for FAT; DPP6, LRRC26, and the KCN gene family for FAT%; CDC14A, RTCA, HSTN, and ODAM for PROT; and HERC3, HERC5, LALBA, CCL28, and NEURL1 for PROT%. Most of these genes are involved in relevant gene ontology (GO) terms such as fatty acid homeostasis, transporter regulator activity, response to progesterone and estradiol, response to steroid hormones, and lactation. The significant genomic regions found contribute to a better understanding of the molecular mechanisms related to LP and milk production in North American Holstein cattle.
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页数:28
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共 117 条
  • [1] The relationship between fertility and lactation characteristics in Holstein cows on United Kingdom commercial dairy farms
    Albarran-Portillo, B.
    Pollott, G. E.
    [J]. JOURNAL OF DAIRY SCIENCE, 2013, 96 (01) : 635 - 646
  • [2] Genome-wide association for milk production and lactation curve parameters in Holstein dairy cows
    Atashi, Hadi
    Salavati, Mazdak
    De Koster, Jenne
    Ehrlich, Jim
    Crowe, Mark
    Opsomer, Geert
    McLoughlin, Niamh
    Fahey, Alan
    Matthews, Elizabeth
    Santoro, Andreia
    Byrne, Colin
    Rudd, Pauline
    O'Flaherty, Roisin
    Hallinan, Sinead
    Wathes, Claire
    Cheng, Zhangrui
    Fouladi, Ali
    Pollott, Geoff
    Werling, Dirk
    Bernardo, Beatriz Sanz
    Wylie, Alistair
    Bell, Matt
    Vaneetvelde, Mieke
    Hermans, Kristof
    Opsomer, Geert
    Moerman, Sander
    De Koster, Jenne
    Bogaert, Hannes
    Vandepitte, Jan
    Vandevelde, Leila
    Vanranst, Bonny
    Hoglund, Johanna
    Dahl, Susanne
    Ostergaard, Soren
    Rothmann, Janne
    Krogh, Mogens
    Meyer, Else
    Gaillard, Charlotte
    Ettema, Jehan
    Rousing, Tine
    Signorelli, Federica
    Napolitano, Francesco
    Moioli, Bianca
    Crisa, Alessandra
    Buttazzoni, Luca
    McClure, Jennifer
    Matthews, Daragh
    Kearney, Francis
    Cromie, Andrew
    McClure, Matt
    [J]. JOURNAL OF ANIMAL BREEDING AND GENETICS, 2020, 137 (03) : 292 - 304
  • [3] Genetic and genomic analyses underpin the feasibility of concomitant genetic improvement of milk yield and mastitis resistance in dairy sheep
    Banos, Georgios
    Clark, Emily L.
    Bush, Stephen J.
    Dutta, Prasun
    Bramis, Georgios
    Arsenos, Georgios
    Hume, David A.
    Psifidi, Androniki
    [J]. PLOS ONE, 2019, 14 (11):
  • [4] &ITShort communication&IT: Genetic association of variations in the osteopontin gene (&ITSPP1&IT) with lactation persistency in dairy cattle
    Bissonnette, Nathalie
    [J]. JOURNAL OF DAIRY SCIENCE, 2018, 101 (01) : 456 - 461
  • [5] Review: Genetic selection of high-yielding dairy cattle toward sustainable farming systems in a rapidly changing world
    Brito, L. F.
    Bedere, N.
    Douhard, F.
    Oliveira, H. R.
    Arnal, M.
    Penagaricano, F.
    Schinckel, A. P.
    Baes, C. F.
    Miglior, F.
    [J]. ANIMAL, 2021, 15
  • [6] Estimation of genetic parameters and detection of chromosomal regions affecting the major milk proteins and their post translational modifications in Danish Holstein and Danish Jersey cattle
    Buitenhuis, Bart
    Poulsen, Nina A.
    Gebreyesus, Grum
    Larsen, Lotte B.
    [J]. BMC GENETICS, 2016, 17
  • [7] Estimation of genetic parameters and detection of quantitative trait loci for minerals in Danish Holstein and Danish Jersey milk
    Buitenhuis, Bart
    Poulsen, Nina A.
    Larsen, Lotte B.
    Sehested, Jakob
    [J]. BMC GENETICS, 2015, 16
  • [8] Genome-wide association and biological pathway analysis for milk-fat composition in Danish Holstein and Danish Jersey cattle
    Buitenhuis, Bart
    Janss, Luc L. G.
    Poulsen, Nina A.
    Larsen, Lotte B.
    Larsen, Mette K.
    Sorensen, Peter
    [J]. BMC GENOMICS, 2014, 15
  • [9] Distinguishing pleiotropy from linked QTL between milk production traits and mastitis resistance in Nordic Holstein cattle
    Cai, Zexi
    Dusza, Magdalena
    Guldbrandtsen, Bernt
    Lund, Mogens Sando
    Sahana, Goutam
    [J]. GENETICS SELECTION EVOLUTION, 2020, 52 (01)
  • [10] RETRACTED: Dissecting closely linked association signals in combination with the mammalian phenotype database can identify candidate genes in dairy cattle (Retracted Article)
    Cai, Zexi
    Guldbrandtsen, Bernt
    Lund, Mogens Sando
    Sahana, Goutam
    [J]. BMC GENETICS, 2018, 19