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Genome-wide association study for buffalo mammary gland morphology

Published online by Cambridge University Press:  02 March 2020

Jun Li
Affiliation:
Department of Immunology, Zunyi Medical University, Zunyi563000, People's Republic of China Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan430070, People's Republic of China
Jiajia Liu
Affiliation:
Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan430070, People's Republic of China School of Biological Science and Technology, University of Jinan, Jinan, China
Shenhe Liu
Affiliation:
Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan430070, People's Republic of China
Giuseppe Campanile
Affiliation:
Department of Veterinary Medicine and Animal Productions, University of Naples “Federico II”, Naples, Italy
Angela Salzano
Affiliation:
Department of Veterinary Medicine and Animal Productions, University of Naples “Federico II”, Naples, Italy
Bianca Gasparrini
Affiliation:
Department of Veterinary Medicine and Animal Productions, University of Naples “Federico II”, Naples, Italy
Graham Plastow
Affiliation:
Department of Agricultural, Food, and Nutritional Sciences, University of Alberta, Edmonton, Alberta, Canada
Chunyan Zhang
Affiliation:
Department of Agricultural, Food, and Nutritional Sciences, University of Alberta, Edmonton, Alberta, Canada
Zhiquan Wang
Affiliation:
Department of Agricultural, Food, and Nutritional Sciences, University of Alberta, Edmonton, Alberta, Canada
Aixin Liang
Affiliation:
Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan430070, People's Republic of China
Liguo Yang*
Affiliation:
Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan430070, People's Republic of China
*
Author for correspondence: Liguo Yang, Email: liguoyang2006@163.com

Abstract

This research communication describes a genome-wide association study for Italian buffalo mammary gland morphology. Three single nucleotide polymorphisms (AX-85117983, AX-8509475 and AX-85117518) were identified to be significantly associated with buffalo anterior teat length, posterior teat length and distance between anterior and posterior teat, respectively. Two significant signals for buffalo mammary gland morphology were observed in two genomic regions on the chromosome 10, and chromosome 20. One of the regions located on the chromosome 10 has the most likely candidate genes ACTC1 and GJD2, both of which have putative roles in the regulation of mammary gland development. This study provides new insights into the genetic variants of buffalo mammary gland morphology and may be beneficial for understanding of the genetic regulation of mammary growth.

Type
Research Article
Copyright
Copyright © Hannah Dairy Research Foundation 2020

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References

Arranz, JJ, Coppieters, W, Berzi, P, Cambisano, N, Grisart, B, Karim, L, Marcq, F, Moreau, L, Mezer, C and Riquet, J (2015) A QTL affecting milk yield and composition maps to bovine chromosome 20: a confirmation. Animal Genetics 29, 107115.Google Scholar
Çatlı, G, Olgaç Dündar, N and Dündar, BN (2014) Adipokines in breast milk: an update. Journal of Clinical Research and Pediatric Endocrinology 6, 192.Google ScholarPubMed
Chamberlain, AJ, Hayes, BJ, Savin, K, Bolormaa, S, McPartlan, HC, Bowman, PJ, Van der Jagt, C, MacEachern, S and Goddard, ME (2012) Validation of single nucleotide polymorphisms associated with milk production traits in dairy cattle. Journal of Dairy Science 95, 864875.Google ScholarPubMed
Cohen-Zinder, M, Seroussi, E, Larkin, DM, Loor, JJ, Everts-van, A, Lee, JH, Drackley, JK, Band, MR, Hernandez, AG, Shani, M, Lewin, HA, Weller, JI and Ron, M (2005) Identification of a missense mutation in the bovine ABCG2 gene with a major effect on the QTL on chromosome 6 affecting milk yield and composition in Holstein cattle. Genome Research 15, 936944.Google ScholarPubMed
Davis, SR (2017) TRIENNIAL LACTATION SYMPOSIUM/BOLFA: mammary growth during pregnancy and lactation and its relationship with milk yield. Journal of Animal Science 95, 56755688.10.2527/jas2017.1733Google ScholarPubMed
Despond, EA and Dawson, JF (2018) Classifying cardiac actin mutations associated with hypertrophic cardiomyopathy. Frontiers in Physiology 9, 405.Google ScholarPubMed
Flury, C (2014) Genome-wide association study for 13 udder traits from linear type classification in cattle. 10th World Congress on Genetics Applied to Livestock Production.Google Scholar
Li, J, Liang, AX, Li, ZP, Du, C, Hua, GH, Salzano, A, Campanile, G, Gasparrini, B and Yang, LG (2017) An association analysis between PRL genotype and milk production traits in Italian Mediterranean river buffalo. Journal of Dairy Research 84, 430433.Google ScholarPubMed
Li, J, Liu, S, Li, Z, Zhang, S, Hua, G, Salzano, A, Campanile, G, Gasparrini, B, Liang, A and Yang, L (2018) DGAT1 polymorphism in riverine buffalo, swamp buffalo and crossbred buffalo. Journal of Dairy Research 85, 412415.Google ScholarPubMed
Michot, P, Chahory, S, Marete, A, Grohs, C, Dagios, D, Donzel, E, Aboukadiri, A, Deloche, MC, Allais-Bonnet, A, Chambrial, M, Barbey, S, Genestout, L, Boussaha, M, Danchin-Burge, C, Fritz, S, Boichard, D and Capitan, A (2016) A reverse genetic approach identifies an ancestral frameshift mutation in RP1 causing recessive progressive retinal degeneration in European cattle breeds. Genetics Selection Evolution 48, 56.Google ScholarPubMed
Palin, MF, Farmer, C and Duarte, CRA (2017) TRIENNIAL LACTATION SYMPOSIUM/BOLFA: adipokines affect mammary growth and function in farm animals. Journal of Animal Science 95, 56895700.Google ScholarPubMed
Pausch, H, Emmerling, R, Schwarzenbacher, H and Fries, R (2016) A multi-trait meta-analysis with imputed sequence variants reveals twelve QTL for mammary gland morphology in Fleckvieh cattle. Genetics Selection Evolution 48, 14.Google ScholarPubMed
Qanbari, S, Gianola, D, Hayes, B, Schenkel, F, Miller, S, Moore, S, Thaller, G and Simianer, H (2011) Application of site and haplotype-frequency based approaches for detecting selection signatures in cattle. BMC Genomics 12, 318.10.1186/1471-2164-12-318Google ScholarPubMed
Rowson, AR, Daniels, KM, Ellis, SE and Hovey, RC (2012) Growth and development of the mammary glands of livestock: a veritable barnyard of opportunities. Seminars in Cellular and Developmental Biology 23, 557566.Google ScholarPubMed
Solouki, AM, Verhoeven, VJ, van Duijn, CM, Verkerk, AJ, Ikram, MK, Hysi, PG, Despriet, DD, van Koolwijk, LM, Ho, L and Ramdas, WD (2010) A genome-wide association study identifies a susceptibility locus for refractive errors and myopia at 15q14. Nature Genetics 42, 897901.Google ScholarPubMed
Talstein, R, Fontanesi, L, Dolezal, M, Scotti, E, Bagnato, A, Russo, V, Canavesi, F, Friedmann, A, Soller, M and Lipkin, E (2010) A genome scan for quantitative trait loci affecting milk somatic cell score in Israeli and Italian Holstein cows by means of selective DNA pooling with single- and multiple-marker mapping. Journal of Dairy Science 93, 49134927.Google Scholar
Valentina, C, Celine, P, Pierri, CL, Samuel, D, Jacques-Antoine, H, João, F, Valeriya, L, Leif, G, Rico, R and Fabrizio, T (2016) A variant of GJD2, encoding for connexin 36, alters the function of insulin producing β-cells. PLoS ONE 11, e0150880.Google Scholar
Zhao, F, McParland, S, Kearney, F, Du, L and Berry, DP (2015) Detection of selection signatures in dairy and beef cattle using high-density genomic information. Genetics Selection Evolution 47, 49.10.1186/s12711-015-0127-3Google ScholarPubMed
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