Literature DB >> 33643378

Comparison of Gene Editing Versus Conventional Breeding to Introgress the POLLED Allele Into the Tropically Adapted Australian Beef Cattle Population.

Maci L Mueller1, John B Cole2, Natalie K Connors3, David J Johnston3, Imtiaz A S Randhawa4, Alison L Van Eenennaam1.   

Abstract

Dehorning is the process of physically removing horns to protect animals and humans from injury, but the process is costly, unpleasant, and faces increasing public scrutiny. Genetic selection for polled (hornless), which is genetically dominant to horned, is a long-term solution to eliminate the need for dehorning. However, due to the limited number of polled Australian Brahman bulls, the northern Australian beef cattle population remains predominantly horned. The potential to use gene editing to produce high-genetic-merit polled cattle was recently demonstrated. To further explore the concept, this study simulated introgression of the POLLED allele into a tropically adapted Australian beef cattle population via conventional breeding or gene editing (top 1% or 10% of seedstock bulls/year) for 3 polled mating schemes and compared results to baseline selection on genetic merit (Japan Ox selection index, $JapOx) alone, over the course of 20 years. The baseline scenario did not significantly decrease the 20-year HORNED allele frequency (80%), but resulted in one of the fastest rates of genetic gain ($8.00/year). Compared to the baseline, the conventional breeding scenarios where polled bulls were preferentially used for breeding, regardless of their genetic merit, significantly decreased the 20-year HORNED allele frequency (30%), but resulted in a significantly slower rate of genetic gain ($6.70/year, P ≤ 0.05). The mating scheme that required the exclusive use of homozygous polled bulls, resulted in the lowest 20-year HORNED allele frequency (8%), but this conventional breeding scenario resulted in the slowest rate of genetic gain ($5.50/year). The addition of gene editing the top 1% or 10% of seedstock bull calves/year to each conventional breeding scenario resulted in significantly faster rates of genetic gain (up to $8.10/year, P ≤ 0.05). Overall, our study demonstrates that, due to the limited number of polled Australian Brahman bulls, strong selection pressure on polled will be necessary to meaningfully increase the number of polled animals in this population. Moreover, these scenarios illustrate how gene editing could be a tool for accelerating the development of high-genetic-merit homozygous polled sires to mitigate the current trade-off of slower genetic gain associated with decreasing HORNED allele frequency in the Australian Brahman population.
Copyright © 2021 Mueller, Cole, Connors, Johnston, Randhawa and Van Eenennaam.

Entities:  

Keywords:  Australia; Brahman; beef cattle; gene editing; polled; simulation

Year:  2021        PMID: 33643378      PMCID: PMC7905321          DOI: 10.3389/fgene.2021.593154

Source DB:  PubMed          Journal:  Front Genet        ISSN: 1664-8021            Impact factor:   4.599


  36 in total

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2.  Production of hornless dairy cattle from genome-edited cell lines.

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3.  Template plasmid integration in germline genome-edited cattle.

Authors:  Alexis L Norris; Stella S Lee; Kevin J Greenlees; Daniel A Tadesse; Mayumi F Miller; Heather A Lombardi
Journal:  Nat Biotechnol       Date:  2020-02-07       Impact factor: 54.908

4.  Canadian National Dairy Study: Heifer calf management.

Authors:  Charlotte B Winder; Cathy A Bauman; Todd F Duffield; Herman W Barkema; Greg P Keefe; Jocelyn Dubuc; Fabienne Uehlinger; David F Kelton
Journal:  J Dairy Sci       Date:  2018-08-30       Impact factor: 4.034

Review 5.  Precision editing of large animal genomes.

Authors:  Wenfang Spring Tan; Daniel F Carlson; Mark W Walton; Scott C Fahrenkrug; Perry B Hackett
Journal:  Adv Genet       Date:  2012       Impact factor: 1.944

6.  Bovine polledness--an autosomal dominant trait with allelic heterogeneity.

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Journal:  PLoS One       Date:  2012-06-21       Impact factor: 3.240

7.  Evaluation of breeding strategies for polledness in dairy cattle using a newly developed simulation framework for quantitative and Mendelian traits.

Authors:  Carsten Scheper; Monika Wensch-Dorendorf; Tong Yin; Holger Dressel; Herrmann Swalve; Sven König
Journal:  Genet Sel Evol       Date:  2016-06-29       Impact factor: 4.297

8.  The impact of genome editing on the introduction of monogenic traits in livestock.

Authors:  John W M Bastiaansen; Henk Bovenhuis; Martien A M Groenen; Hendrik-Jan Megens; Han A Mulder
Journal:  Genet Sel Evol       Date:  2018-04-16       Impact factor: 4.297

9.  Sequencing the mosaic genome of Brahman cattle identifies historic and recent introgression including polled.

Authors:  L Koufariotis; B J Hayes; M Kelly; B M Burns; R Lyons; P Stothard; A J Chamberlain; S Moore
Journal:  Sci Rep       Date:  2018-12-10       Impact factor: 4.379

Review 10.  Proposed U.S. regulation of gene-edited food animals is not fit for purpose.

Authors:  Alison L Van Eenennaam; Kevin D Wells; James D Murray
Journal:  NPJ Sci Food       Date:  2019-03-20
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  2 in total

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2.  Cytoplasmic Injection of Zygotes to Genome Edit Naturally Occurring Sequence Variants Into Bovine Embryos.

Authors:  Jingwei Wei; Brigid Brophy; Sally-Ann Cole; Jannis Moormann; Jens Boch; Gӧtz Laible
Journal:  Front Genet       Date:  2022-07-11       Impact factor: 4.772

  2 in total

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