Livestock 2.0 – genome editing for fitter, healthier, and more productive farmed animals

Christine Tait-burkard; Andrea Doeschl-wilson; Mike J. Mcgrew; Alan L. Archibald; Helen M. Sang; Ross D. Houston; C. Bruce Whitelaw; Mick Watson

doi:10.1186/s13059-018-1583-1

Livestock 2.0 – genome editing for fitter, healthier, and more productive farmed animals

Christine Tait-burkard, Andrea Doeschl-wilson, Mike J. Mcgrew, Alan L. Archibald, Helen M. Sang, Ross D. Houston, C. Bruce Whitelaw, Mick Watson

Research output: Contribution to journal › Article › peer-review

Abstract

The human population is growing, and as a result we need to produce more food whilst reducing the impact of farming on the environment. Selective breeding and genomic selection have had a transformational impact on livestock productivity, and now transgenic and genome-editing technologies offer exciting opportunities for the production of fitter, healthier and more-productive livestock. Here, we review recent progress in the application of genome editing to farmed animal species and discuss the potential impact on our ability to produce food.

Original language	English
Journal	Genome Biology
Volume	19
Issue number	1
DOIs	https://doi.org/10.1186/s13059-018-1583-1
Publication status	Published - 26 Nov 2018

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10.1186/s13059-018-1583-1

Livestock 2.0
© The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Final published version, 620 KBLicence: Creative Commons: Attribution (CC-BY)

3 Finished

ISP 1 2017/22 Blueprints for Healthy Animals
Watson, M.
BBSRC
1/04/17 → 31/03/22
Project: Research
ISP 3 2017/22 Improving Animal Health and Welfare
Meddle, S.
BBSRC
1/04/17 → 31/03/22
Project: Research
Ark Genomics
Watson, M., Archibald, A. & Burt, D.
BBSRC
1/04/12 → 31/03/17
Project: Research

Cite this

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abstract = "The human population is growing, and as a result we need to produce more food whilst reducing the impact of farming on the environment. Selective breeding and genomic selection have had a transformational impact on livestock productivity, and now transgenic and genome-editing technologies offer exciting opportunities for the production of fitter, healthier and more-productive livestock. Here, we review recent progress in the application of genome editing to farmed animal species and discuss the potential impact on our ability to produce food.",

author = "Christine Tait-burkard and Andrea Doeschl-wilson and Mcgrew, {Mike J.} and Archibald, {Alan L.} and Sang, {Helen M.} and Houston, {Ross D.} and Whitelaw, {C. Bruce} and Mick Watson",

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AU - Tait-burkard, Christine

AU - Doeschl-wilson, Andrea

AU - Mcgrew, Mike J.

AU - Archibald, Alan L.

AU - Sang, Helen M.

AU - Houston, Ross D.

AU - Whitelaw, C. Bruce

AU - Watson, Mick

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AB - The human population is growing, and as a result we need to produce more food whilst reducing the impact of farming on the environment. Selective breeding and genomic selection have had a transformational impact on livestock productivity, and now transgenic and genome-editing technologies offer exciting opportunities for the production of fitter, healthier and more-productive livestock. Here, we review recent progress in the application of genome editing to farmed animal species and discuss the potential impact on our ability to produce food.

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JO - Genome Biology

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Livestock 2.0 – genome editing for fitter, healthier, and more productive farmed animals

Abstract

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Projects

ISP 1 2017/22 Blueprints for Healthy Animals

ISP 3 2017/22 Improving Animal Health and Welfare

Ark Genomics

Cite this