Literature DB >> 17052749

Compositional analysis of dairy products derived from clones and cloned transgenic cattle.

Götz Laible1, Brigid Brophy, Derek Knighton, David N Wells.   

Abstract

Cloning technology is an emerging biotechnological tool that could provide commercial opportunities for livestock agriculture. However, the process is very inefficient and the molecular events underlying the technology are poorly understood. The resulting uncertainties are causing concerns regarding the safety of food products derived from cloned livestock. There are similar concerns for livestock produced by biotechnologies which enable the purposeful introduction of genetic modifications. To increase the knowledge about food products from animals generated by these modern biotechnologies, we assessed compositional differences associated with milk and cheese derived from cloned and transgenic cows. Based on gross composition, fatty acid and amino acid profiles and mineral and vitamin contents, milk produced by clones and conventional cattle were essentially similar and consistent with reference values from dairy cows farmed in the same region under similar conditions. Whereas colostrum produced by transgenic cows with additional casein genes had similar IgG secretion levels and kinetics to control cows, milk from the transgenic cows had a distinct yellow appearance, in contrast to the white color of milk from control cows. Processing of milk into cheese resulted in differences in the gross composition and amino acid profiles; 'transgenic' cheese had lower fat and higher salt contents and small but characteristic differences in the amino acid profile compared to control cheese.

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Year:  2006        PMID: 17052749     DOI: 10.1016/j.theriogenology.2006.09.028

Source DB:  PubMed          Journal:  Theriogenology        ISSN: 0093-691X            Impact factor:   2.740


  8 in total

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Authors:  Mark Tizard; Eric Hallerman; Scott Fahrenkrug; Martina Newell-McGloughlin; John Gibson; Frans de Loos; Stefan Wagner; Götz Laible; Jae Yong Han; Michael D'Occhio; Lisa Kelly; John Lowenthal; Kari Gobius; Primal Silva; Caitlin Cooper; Tim Doran
Journal:  Transgenic Res       Date:  2016-05-31       Impact factor: 2.788

Review 2.  Epigenetic regulation of milk production in dairy cows.

Authors:  Kuljeet Singh; Richard A Erdman; Kara M Swanson; Adrian J Molenaar; Nauman J Maqbool; Thomas T Wheeler; Juan A Arias; Erin C Quinn-Walsh; Kerst Stelwagen
Journal:  J Mammary Gland Biol Neoplasia       Date:  2010-02-04       Impact factor: 2.673

3.  Is there a risk from not using GE animals?

Authors:  James D Murray; Elizabeth A Maga
Journal:  Transgenic Res       Date:  2009-11-04       Impact factor: 2.788

4.  Characterization of bioactive recombinant human lysozyme expressed in milk of cloned transgenic cattle.

Authors:  Bin Yang; Jianwu Wang; Bo Tang; Yufang Liu; Chengdong Guo; Penghua Yang; Tian Yu; Rong Li; Jianmin Zhao; Lei Zhang; Yunping Dai; Ning Li
Journal:  PLoS One       Date:  2011-03-16       Impact factor: 3.240

5.  Comparative proteomics of milk fat globule membrane proteins from transgenic cloned cattle.

Authors:  Shunchao Sui; Jie Zhao; Jianwu Wang; Ran Zhang; Chengdong Guo; Tian Yu; Ning Li
Journal:  PLoS One       Date:  2014-08-18       Impact factor: 3.240

6.  Increased gene dosage for β- and κ-casein in transgenic cattle improves milk composition through complex effects.

Authors:  Götz Laible; Grant Smolenski; Thomas Wheeler; Brigid Brophy
Journal:  Sci Rep       Date:  2016-11-23       Impact factor: 4.379

7.  Comprehensive assessment of milk composition in transgenic cloned cattle.

Authors:  Ran Zhang; Chengdong Guo; Shunchao Sui; Tian Yu; Jianwu Wang; Ning Li
Journal:  PLoS One       Date:  2012-11-21       Impact factor: 3.240

8.  Cattle with a precise, zygote-mediated deletion safely eliminate the major milk allergen beta-lactoglobulin.

Authors:  Jingwei Wei; Stefan Wagner; Paul Maclean; Brigid Brophy; Sally Cole; Grant Smolenski; Dan F Carlson; Scott C Fahrenkrug; David N Wells; Götz Laible
Journal:  Sci Rep       Date:  2018-05-16       Impact factor: 4.379

  8 in total

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