Cargando…
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...
Autores principales: | , , , , , , , , |
---|---|
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 |
_version_ | 1784576459829936128 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8480417 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT asselstinevictoria thepotentialformitigationofmethaneemissionsinruminantsthroughtheapplicationofmetagenomicsmetabolomicsandotheromicstechnologies AT lamstephanie thepotentialformitigationofmethaneemissionsinruminantsthroughtheapplicationofmetagenomicsmetabolomicsandotheromicstechnologies AT migliorfilippo thepotentialformitigationofmethaneemissionsinruminantsthroughtheapplicationofmetagenomicsmetabolomicsandotheromicstechnologies AT britoluizf thepotentialformitigationofmethaneemissionsinruminantsthroughtheapplicationofmetagenomicsmetabolomicsandotheromicstechnologies AT sweetthannah thepotentialformitigationofmethaneemissionsinruminantsthroughtheapplicationofmetagenomicsmetabolomicsandotheromicstechnologies AT guanleluo thepotentialformitigationofmethaneemissionsinruminantsthroughtheapplicationofmetagenomicsmetabolomicsandotheromicstechnologies AT waterssineadm thepotentialformitigationofmethaneemissionsinruminantsthroughtheapplicationofmetagenomicsmetabolomicsandotheromicstechnologies AT plastowgraham thepotentialformitigationofmethaneemissionsinruminantsthroughtheapplicationofmetagenomicsmetabolomicsandotheromicstechnologies AT canovasangela thepotentialformitigationofmethaneemissionsinruminantsthroughtheapplicationofmetagenomicsmetabolomicsandotheromicstechnologies AT asselstinevictoria potentialformitigationofmethaneemissionsinruminantsthroughtheapplicationofmetagenomicsmetabolomicsandotheromicstechnologies AT lamstephanie potentialformitigationofmethaneemissionsinruminantsthroughtheapplicationofmetagenomicsmetabolomicsandotheromicstechnologies AT migliorfilippo potentialformitigationofmethaneemissionsinruminantsthroughtheapplicationofmetagenomicsmetabolomicsandotheromicstechnologies AT britoluizf potentialformitigationofmethaneemissionsinruminantsthroughtheapplicationofmetagenomicsmetabolomicsandotheromicstechnologies AT sweetthannah potentialformitigationofmethaneemissionsinruminantsthroughtheapplicationofmetagenomicsmetabolomicsandotheromicstechnologies AT guanleluo potentialformitigationofmethaneemissionsinruminantsthroughtheapplicationofmetagenomicsmetabolomicsandotheromicstechnologies AT waterssineadm potentialformitigationofmethaneemissionsinruminantsthroughtheapplicationofmetagenomicsmetabolomicsandotheromicstechnologies AT plastowgraham potentialformitigationofmethaneemissionsinruminantsthroughtheapplicationofmetagenomicsmetabolomicsandotheromicstechnologies AT canovasangela potentialformitigationofmethaneemissionsinruminantsthroughtheapplicationofmetagenomicsmetabolomicsandotheromicstechnologies |