Literature DB >> 10629828

Effect of milk protein genotypes on milk protein composition and its genetic parameter estimates.

G Bobe1, D C Beitz, A E Freeman, G L Lindberg.   

Abstract

The effects of kappa-casein (CN) and beta-lactoglobulin (LG) genotypes on milk protein concentration and composition were estimated for the US Holstein-Friesian population using a single-trait, mixed, linear animal model on 592 individual milk samples from 233 cows. Both milk protein genotypes had no statistically significant effect on the total milk protein concentration; however, substitution of the kappa-CN A allele additively increased the proportion of kappa-CN, and substitution of the beta-LG B allele additively increased the proportion of beta-LG in total milk protein. In response, proportions of the other milk proteins, mainly alpha S1-CN, were decreased. For proportions of alpha S1-CN, kappa-CN, and beta-LG in total milk protein, kappa-CN and beta-LG genotypes explain more than 50 and 25% of the heritability and repeatability estimates, respectively. We concluded that kappa-CN and beta-LG genotypes affect the phenotypic and genetic variation of milk protein composition but do not significantly affect milk protein concentration. A possible explanation for our conclusion is that altered gene sequences in the promoter region of kappa-CN B and beta-LG A, linked closely to the respective genotypes, favor the transcription or translation of their own protein at the expense of the synthesis of other milk proteins, in particular of alpha S1-CN.

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Year:  1999        PMID: 10629828     DOI: 10.3168/jds.S0022-0302(99)75537-2

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


  6 in total

1.  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.

Authors:  Bart Buitenhuis; Nina A Poulsen; Grum Gebreyesus; Lotte B Larsen
Journal:  BMC Genet       Date:  2016-08-02       Impact factor: 2.797

2.  Modeling heterogeneous (co)variances from adjacent-SNP groups improves genomic prediction for milk protein composition traits.

Authors:  Grum Gebreyesus; Mogens S Lund; Bart Buitenhuis; Henk Bovenhuis; Nina A Poulsen; Luc G Janss
Journal:  Genet Sel Evol       Date:  2017-12-05       Impact factor: 4.297

Review 3.  The Use of "Omics" in Lactation Research in Dairy Cows.

Authors:  Shanshan Li; Quanjuan Wang; Xiujuan Lin; Xiaolu Jin; Lan Liu; Caihong Wang; Qiong Chen; Jianxin Liu; Hongyun Liu
Journal:  Int J Mol Sci       Date:  2017-05-05       Impact factor: 5.923

4.  Characterizing a region on BTA11 affecting β-lactoglobulin content of milk using high-density genotyping and haplotype grouping.

Authors:  Nicolas Bedere; Henk Bovenhuis
Journal:  BMC Genet       Date:  2017-02-22       Impact factor: 2.797

5.  Whole Genome DNA Methylation Variations in Mammary Gland Tissues from Holstein Cattle Producing Milk with Various Fat and Protein Contents.

Authors:  Mengqi Wang; Nathalie Bissonnette; Pier-Luc Dudemaine; Xin Zhao; Eveline M Ibeagha-Awemu
Journal:  Genes (Basel)       Date:  2021-10-28       Impact factor: 4.096

Review 6.  The Promise and Challenges of Determining Recombinant Bovine Growth Hormone in Milk.

Authors:  Axel Raux; Emmanuelle Bichon; Alessandro Benedetto; Marzia Pezzolato; Elena Bozzetta; Bruno Le Bizec; Gaud Dervilly
Journal:  Foods       Date:  2022-01-20
  6 in total

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