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The potential for mitigation of methane emissions in ruminants through the application of metagenomics, metabolomics, and other -OMICS technologies

Ruminant supply chains contribute 5.7 gigatons of CO(2-eq) per annum, which represents approximately 80% of the livestock sector emissions. One of the largest sources of emission in the ruminant sector is methane (CH(4)), accounting for approximately 40% of the sectors total emissions. With climate...

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Autores principales: Asselstine, Victoria, Lam, Stephanie, Miglior, Filippo, Brito, Luiz F, Sweett, Hannah, Guan, Leluo, Waters, Sinead M, Plastow, Graham, Cánovas, Angela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8480417/
https://www.ncbi.nlm.nih.gov/pubmed/34586400
http://dx.doi.org/10.1093/jas/skab193
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author Asselstine, Victoria
Lam, Stephanie
Miglior, Filippo
Brito, Luiz F
Sweett, Hannah
Guan, Leluo
Waters, Sinead M
Plastow, Graham
Cánovas, Angela
author_facet Asselstine, Victoria
Lam, Stephanie
Miglior, Filippo
Brito, Luiz F
Sweett, Hannah
Guan, Leluo
Waters, Sinead M
Plastow, Graham
Cánovas, Angela
author_sort Asselstine, Victoria
collection PubMed
description Ruminant supply chains contribute 5.7 gigatons of CO(2-eq) per annum, which represents approximately 80% of the livestock sector emissions. One of the largest sources of emission in the ruminant sector is methane (CH(4)), accounting for approximately 40% of the sectors total emissions. With climate change being a growing concern, emphasis is being put on reducing greenhouse gas emissions, including those from ruminant production. Various genetic and environmental factors influence cattle CH(4) production, such as breed, genetic makeup, diet, management practices, and physiological status of the host. The influence of genetic variability on CH(4) yield in ruminants indicates that genomic selection for reduced CH(4) emissions is possible. Although the microbiology of CH(4) production has been studied, further research is needed to identify key differences in the host and microbiome genomes and how they interact with one another. The advancement of “-omics” technologies, such as metabolomics and metagenomics, may provide valuable information in this regard. Improved understanding of genetic mechanisms associated with CH(4) production and the interaction between the microbiome profile and host genetics will increase the rate of genetic progress for reduced CH(4) emissions. Through a systems biology approach, various “-omics” technologies can be combined to unravel genomic regions and genetic markers associated with CH(4) production, which can then be used in selective breeding programs. This comprehensive review discusses current challenges in applying genomic selection for reduced CH(4) emissions, and the potential for “-omics” technologies, especially metabolomics and metagenomics, to minimize such challenges. The integration and evaluation of different levels of biological information using a systems biology approach is also discussed, which can assist in understanding the underlying genetic mechanisms and biology of CH(4) production traits in ruminants and aid in reducing agriculture’s overall environmental footprint.
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spelling pubmed-84804172021-09-30 The potential for mitigation of methane emissions in ruminants through the application of metagenomics, metabolomics, and other -OMICS technologies Asselstine, Victoria Lam, Stephanie Miglior, Filippo Brito, Luiz F Sweett, Hannah Guan, Leluo Waters, Sinead M Plastow, Graham Cánovas, Angela J Anim Sci Featured Collection Ruminant supply chains contribute 5.7 gigatons of CO(2-eq) per annum, which represents approximately 80% of the livestock sector emissions. One of the largest sources of emission in the ruminant sector is methane (CH(4)), accounting for approximately 40% of the sectors total emissions. With climate change being a growing concern, emphasis is being put on reducing greenhouse gas emissions, including those from ruminant production. Various genetic and environmental factors influence cattle CH(4) production, such as breed, genetic makeup, diet, management practices, and physiological status of the host. The influence of genetic variability on CH(4) yield in ruminants indicates that genomic selection for reduced CH(4) emissions is possible. Although the microbiology of CH(4) production has been studied, further research is needed to identify key differences in the host and microbiome genomes and how they interact with one another. The advancement of “-omics” technologies, such as metabolomics and metagenomics, may provide valuable information in this regard. Improved understanding of genetic mechanisms associated with CH(4) production and the interaction between the microbiome profile and host genetics will increase the rate of genetic progress for reduced CH(4) emissions. Through a systems biology approach, various “-omics” technologies can be combined to unravel genomic regions and genetic markers associated with CH(4) production, which can then be used in selective breeding programs. This comprehensive review discusses current challenges in applying genomic selection for reduced CH(4) emissions, and the potential for “-omics” technologies, especially metabolomics and metagenomics, to minimize such challenges. The integration and evaluation of different levels of biological information using a systems biology approach is also discussed, which can assist in understanding the underlying genetic mechanisms and biology of CH(4) production traits in ruminants and aid in reducing agriculture’s overall environmental footprint. Oxford University Press 2021-09-29 /pmc/articles/PMC8480417/ /pubmed/34586400 http://dx.doi.org/10.1093/jas/skab193 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the American Society of Animal Science. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Featured Collection
Asselstine, Victoria
Lam, Stephanie
Miglior, Filippo
Brito, Luiz F
Sweett, Hannah
Guan, Leluo
Waters, Sinead M
Plastow, Graham
Cánovas, Angela
The potential for mitigation of methane emissions in ruminants through the application of metagenomics, metabolomics, and other -OMICS technologies
title The potential for mitigation of methane emissions in ruminants through the application of metagenomics, metabolomics, and other -OMICS technologies
title_full The potential for mitigation of methane emissions in ruminants through the application of metagenomics, metabolomics, and other -OMICS technologies
title_fullStr The potential for mitigation of methane emissions in ruminants through the application of metagenomics, metabolomics, and other -OMICS technologies
title_full_unstemmed The potential for mitigation of methane emissions in ruminants through the application of metagenomics, metabolomics, and other -OMICS technologies
title_short The potential for mitigation of methane emissions in ruminants through the application of metagenomics, metabolomics, and other -OMICS technologies
title_sort potential for mitigation of methane emissions in ruminants through the application of metagenomics, metabolomics, and other -omics technologies
topic Featured Collection
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8480417/
https://www.ncbi.nlm.nih.gov/pubmed/34586400
http://dx.doi.org/10.1093/jas/skab193
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