Literature DB >> 24804775

Candidate gene association analysis for milk yield, composition, urea nitrogen and somatic cell scores in Brown Swiss cows.

A Cecchinato1, C Ribeca1, S Chessa2, C Cipolat-Gotet1, F Maretto1, J Casellas3, G Bittante1.   

Abstract

The aim of this study was to investigate 96 single-nucleotide polymorphisms (SNPs) from 54 candidate genes, and test the associations of the polymorphic SNPs with milk yield, composition, milk urea nitrogen (MUN) content and somatic cell score (SCS) in individual milk samples from Italian Brown Swiss cows. Milk and blood samples were collected from 1271 cows sampled once from 85 herds. Milk production, quality traits (i.e. protein, casein, fat and lactose percentages), MUN and SCS were measured for each milk sample. Genotyping was performed using a custom Illumina VeraCode GoldenGate approach. A Bayesian linear animal model that considered the effects of herd, days in milk, parity, SNP genotype and additive polygenic effect was used for the association analysis. Our results showed that 14 of the 51 polymorphic SNPs had relevant additive effects on at least one of the aforementioned traits. Polymorphisms in the glucocorticoid receptor DNA-binding factor 1 (GRLF1), prolactin receptor (PRLR) and chemokine ligand 2 (CCL2) were associated with milk yield; an SNP in the stearoyl-CoA desaturase (SCD-1) was related to fat content; SNPs in the caspase recruitment domain 15 protein (CARD15) and lipin 1 (LPIN1) affected the protein and casein contents; SNPs in growth hormone 1 (GH1), lactotransferrin (LTF) and SCD-1 were relevant for casein number; variants in beta casein (CSN2), GH1, GRLF1 and LTF affected lactose content; SNPs in beta-2 adrenergic receptor (ADRB2), serpin peptidase inhibitor (PI) and SCD-1 were associated with MUN; and SNPs in acetyl-CoA carboxylase alpha (ACACA) and signal transducer and activator of transcription 5A (STAT5A) were relevant in explaining the variation of SCS. Although further research is needed to validate these SNPs in other populations and breeds, the association between these markers and milk yield, composition, MUN and SCS could be exploited in gene-assisted selection programs for genetic improvement purposes.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 24804775     DOI: 10.1017/S1751731114001098

Source DB:  PubMed          Journal:  Animal        ISSN: 1751-7311            Impact factor:   3.240


  11 in total

1.  Exploring evidence of positive selection signatures in cattle breeds selected for different traits.

Authors:  Mengistie Taye; Wonseok Lee; Soomin Jeon; Joon Yoon; Tadelle Dessie; Olivier Hanotte; Okeyo Ally Mwai; Stephen Kemp; Seoae Cho; Sung Jong Oh; Hak-Kyo Lee; Heebal Kim
Journal:  Mamm Genome       Date:  2017-09-13       Impact factor: 2.957

2.  Using mid-infrared spectroscopy to increase GWAS power to detect QTL associated with blood urea nitrogen.

Authors:  Irene van den Berg; Phuong N Ho; Tuan V Nguyen; Mekonnen Haile-Mariam; Timothy D W Luke; Jennie E Pryce
Journal:  Genet Sel Evol       Date:  2022-04-18       Impact factor: 4.297

3.  Genome-Wide Specific Selection in Three Domestic Sheep Breeds.

Authors:  Huihua Wang; Li Zhang; Jiaxve Cao; Mingming Wu; Xiaomeng Ma; Zhen Liu; Ruizao Liu; Fuping Zhao; Caihong Wei; Lixin Du
Journal:  PLoS One       Date:  2015-06-17       Impact factor: 3.240

4.  From cow to cheese: genetic parameters of the flavour fingerprint of cheese investigated by direct-injection mass spectrometry (PTR-ToF-MS).

Authors:  Matteo Bergamaschi; Alessio Cecchinato; Franco Biasioli; Flavia Gasperi; Bruno Martin; Giovanni Bittante
Journal:  Genet Sel Evol       Date:  2016-11-16       Impact factor: 4.297

5.  Variation in the Lipin 1 Gene Is Associated with Birth Weight and Selected Carcass Traits in New Zealand Romney Sheep.

Authors:  Guan Wang; Huitong Zhou; Hua Gong; Jianning He; Yuzhu Luo; Jon G H Hickford; Jiang Hu; Jiqing Wang; Xiu Liu; Shaobin Li
Journal:  Animals (Basel)       Date:  2020-02-03       Impact factor: 2.752

6.  Genome-wide association study on Fourier transform infrared milk spectra for two Danish dairy cattle breeds.

Authors:  R M Zaalberg; L Janss; A J Buitenhuis
Journal:  BMC Genet       Date:  2020-01-31       Impact factor: 2.797

7.  Identification of Genomic Regions Influencing N-Metabolism and N-Excretion in Lactating Holstein- Friesians.

Authors:  Hanne Honerlagen; Henry Reyer; Michael Oster; Siriluck Ponsuksili; Nares Trakooljul; Björn Kuhla; Norbert Reinsch; Klaus Wimmers
Journal:  Front Genet       Date:  2021-07-14       Impact factor: 4.599

8.  Revealing new candidate genes for reproductive traits in pigs: combining Bayesian GWAS and functional pathways.

Authors:  Lucas L Verardo; Fabyano F Silva; Marcos S Lopes; Ole Madsen; John W M Bastiaansen; Egbert F Knol; Mathew Kelly; Luis Varona; Paulo S Lopes; Simone E F Guimarães
Journal:  Genet Sel Evol       Date:  2016-02-01       Impact factor: 4.297

9.  Identification of Genomic Regions Associated with Concentrations of Milk Fat, Protein, Urea and Efficiency of Crude Protein Utilization in Grazing Dairy Cows.

Authors:  Hewa Bahithige Pavithra Chathurangi Ariyarathne; Martin Correa-Luna; Hugh Thomas Blair; Dorian John Garrick; Nicolas Lopez-Villalobos
Journal:  Genes (Basel)       Date:  2021-03-23       Impact factor: 4.096

Review 10.  A Comparative Review of the Extrinsic and Intrinsic Factors Regulating Lactose Synthesis.

Authors:  Anna Sadovnikova; Sergio C Garcia; Russell C Hovey
Journal:  J Mammary Gland Biol Neoplasia       Date:  2021-06-14       Impact factor: 2.673

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.