Literature DB >> 28711251

Association of candidate gene polymorphisms with milk technological traits, yield, composition, and somatic cell score in Italian Holstein-Friesian sires.

E Viale1, F Tiezzi2, F Maretto1, M De Marchi1, M Penasa1, M Cassandro3.   

Abstract

Advances in DNA-based marker technology have enabled the identification of genomic regions underlying complex phenotypic traits in livestock species. The incorporation of detected quantitative trait loci into genetic evaluation provides great potential to enhance selection accuracies, hence expediting the genetic improvement of economically important traits. The objective of the present study was to investigate 96 single nucleotide polymorphisms (SNP) located in 53 candidate genes previously reported to have effects on milk production and quality traits in a population of highly selected Holstein-Friesian bulls. A total of 423 semen samples were used to genotype the bulls through a custom oligo pool assay. Forty-five SNP in 32 genes were found to be associated with at least 1 of the tested traits. Most significant and favorable SNP trait associations were observed for polymorphisms located in CCL3 and AGPAT6 genes for fat yield (0.037 and 0.033 kg/d, respectively), DGKG gene for milk yield (0.698 kg/d), PPARGC1A, CSN1S1, and AGPAT6 genes for fat percentage (0.127, 0.113, and 0.093%, respectively), GHR gene for protein (0.064%) and casein percentage (0.053%), and TLR4 gene for fat (0.090%), protein (0.066%), and casein percentage (0.050%). Somatic cell score was favorably affected by GHR (-0.095) and POU1F1 (-0.137), and interesting SNP-trait associations were observed for polymorphisms located in CSN2, POU1F1, and AGPAT6 genes for rennet coagulation time (-0.592, -0.558, and -0.462 min, respectively), and GHR and CSN2 genes for curd firmness 30 min after rennet addition (1.264 and 1.183 mm, respectively). In addition to the influence of individual SNP, the effects of composite genotypes constructed by grouping SNP according to their individual effects on traits considered in the analysis were also examined. Favorable and significant effects on milk traits were observed for 2 composite genotypes, one including 10 SNP and the other 4 SNP. The former was associated with an increase of milk (0.075 kg/d), fat (0.097 kg/d), protein (0.083 kg/d), and casein yields (0.065 kg/d), and the latter was associated with an increase of fat (0.244%), protein (0.071%), and casein percentage (0.047%). Although further research is required to validate the identified SNP loci in other populations and breeds, our results can be considered as a preliminary foundation for further replication studies on gene-assisted selection programs.
Copyright © 2017 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Holstein bulls; candidate gene; milk coagulation trait; milk yield and composition; somatic cell count

Mesh:

Substances:

Year:  2017        PMID: 28711251     DOI: 10.3168/jds.2017-12666

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  10 in total

1.  Detection of Single-Nucleotide Polymorphism in AGPAT6 Gene, Associated with Milk Fat Content, using Tetra-Primer ARMS PCR-Based Assay, in Karan Fries Breeding Bulls.

Authors:  Arpan Upadhyay; Atish Kumar Chakravarty; Sachinandan De; Ashok Kumar Gupta; Avtar Singh; A Sakthivel Selvan
Journal:  Iran J Biotechnol       Date:  2019-12-01       Impact factor: 1.671

2.  Genome-Wide Association Study for Milk Protein Composition Traits in a Chinese Holstein Population Using a Single-Step Approach.

Authors:  Chenghao Zhou; Cong Li; Wentao Cai; Shuli Liu; Hongwei Yin; Shaolei Shi; Qin Zhang; Shengli Zhang
Journal:  Front Genet       Date:  2019-02-19       Impact factor: 4.599

3.  Polymorphisms and genetic effects of PRLR, MOGAT1, MINPP1 and CHUK genes on milk fatty acid traits in Chinese Holstein.

Authors:  Lijun Shi; Lin Liu; Xiaoqing Lv; Zhu Ma; Yuze Yang; Yanhua Li; Feng Zhao; Dongxiao Sun; Bo Han
Journal:  BMC Genet       Date:  2019-08-16       Impact factor: 2.797

4.  The non-synonymous mutation in bovine SPP1 gene influences carcass weight.

Authors:  Hirokazu Matsumoto; Ryosuke Kohara; Makoto Sugi; Azumi Usui; Kenji Oyama; Hideyuki Mannen; Shinji Sasazaki
Journal:  Heliyon       Date:  2019-12-13

5.  A Functional 3' UTR Polymorphism of FADS2 Affects Cow Milk Composition through Modifying Mir-744 Binding.

Authors:  Mingxun Li; Xubin Lu; Qisong Gao; Mengqi Wang; Abdelaziz Adam Idriss Arbab; Yujia Sun; Zhi Chen; Huimin Zhang; Niel A Karrow; Zhangping Yang; Yongjiang Mao
Journal:  Animals (Basel)       Date:  2019-12-06       Impact factor: 2.752

6.  GWAS-Based Identification of New Loci for Milk Yield, Fat, and Protein in Holstein Cattle.

Authors:  Liyuan Liu; Jinghang Zhou; Chunpeng James Chen; Juan Zhang; Wan Wen; Jia Tian; Zhiwu Zhang; Yaling Gu
Journal:  Animals (Basel)       Date:  2020-11-05       Impact factor: 2.752

7.  Validation of somatic cell score-associated SNPs from Holstein cattle in Sudanese Butana and Butana × Holstein crossbred cattle.

Authors:  Salma Elzaki; Paula Korkuc; Danny Arends; Monika Reissmann; Siham A Rahmatalla; Gudrun A Brockmann
Journal:  Trop Anim Health Prod       Date:  2022-01-12       Impact factor: 1.559

8.  Sequence-based genome-wide association study of individual milk mid-infrared wavenumbers in mixed-breed dairy cattle.

Authors:  Kathryn M Tiplady; Thomas J Lopdell; Edwardo Reynolds; Richard G Sherlock; Michael Keehan; Thomas Jj Johnson; Jennie E Pryce; Stephen R Davis; Richard J Spelman; Bevin L Harris; Dorian J Garrick; Mathew D Littlejohn
Journal:  Genet Sel Evol       Date:  2021-07-20       Impact factor: 4.297

9.  Genome Wide Prediction, Mapping and Development of Genomic Resources of Mastitis Associated Genes in Water Buffalo.

Authors:  Sarika Jaiswal; Jaisri Jagannadham; Juli Kumari; Mir Asif Iquebal; Anoop Kishor Singh Gurjar; Varij Nayan; Ulavappa B Angadi; Sunil Kumar; Rakesh Kumar; Tirtha Kumar Datta; Anil Rai; Dinesh Kumar
Journal:  Front Vet Sci       Date:  2021-06-18

10.  Somatic cell score: gene polymorphisms and other effects in Holstein and Simmental cows.

Authors:  Jindřich Čítek; Michaela Brzáková; Lenka Hanusová; Oto Hanuš; Libor Večerek; Eva Samková; Eva Jozová; Irena Hoštičková; Jan Trávníček; Martin Klojda; Lucie Hasoňová
Journal:  Anim Biosci       Date:  2021-04-23
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.