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Study of cattle microbiota in different regions of Kazakhstan using 16S metabarcoding analysis

Methane (CH(4)) is an important greenhouse gas (GHG). Enteric methane emissions from farmed ruminant livestock account for approximately 15% of global GHG emissions, with approximately 44% of livestock emissions in the form of methane. The purpose of the research is to study the influence of feeding...

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Autores principales: Daugaliyeva, Aida, Daugaliyeva, Saule, Ashanin, Alexander, Kanatbayev, Serik, Beltramo, Chiara, Peletto, Simone
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9525287/
https://www.ncbi.nlm.nih.gov/pubmed/36180559
http://dx.doi.org/10.1038/s41598-022-20732-4
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author Daugaliyeva, Aida
Daugaliyeva, Saule
Ashanin, Alexander
Kanatbayev, Serik
Beltramo, Chiara
Peletto, Simone
author_facet Daugaliyeva, Aida
Daugaliyeva, Saule
Ashanin, Alexander
Kanatbayev, Serik
Beltramo, Chiara
Peletto, Simone
author_sort Daugaliyeva, Aida
collection PubMed
description Methane (CH(4)) is an important greenhouse gas (GHG). Enteric methane emissions from farmed ruminant livestock account for approximately 15% of global GHG emissions, with approximately 44% of livestock emissions in the form of methane. The purpose of the research is to study the influence of feeding types and regional characteristics of Kazakhstan on the microbiota of feces and the number of methane-forming archaea of beef and meat-and-dairy cattle productivity. For this purpose, fecal samples were taken rectally from 37 cattle heads from four regions of Kazakhstan (Western, Southern, Northern and Southeast). The taxonomic composition of the community in all samples was determined by 16S metabarcoding; additionally alpha and beta diversities were calculated. The dominant phyla were: Firmicutes (57.30%), Bacteroidetes (17.00%), Verrucomicrobia (6.88%), Euryarchaeota (6.49%), Actinobacteria (4.77%) and Patescibacteria (3.38%). Significant differences with regard to methanogens bacteria were found: Euryarchaeota were less present in animals from Western Kazakhstan (2.40%), while Methanobacteriales and Methanobrevibacter were prevalent in Southeast, and less abundant in Western region. Western Kazakhstan differs from the other regions likely because animals are mainly grazed in the pasture. Thus, grazing animals has an impact on their microbiota thus leading to a decrease in methane emissions.
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spelling pubmed-95252872022-10-02 Study of cattle microbiota in different regions of Kazakhstan using 16S metabarcoding analysis Daugaliyeva, Aida Daugaliyeva, Saule Ashanin, Alexander Kanatbayev, Serik Beltramo, Chiara Peletto, Simone Sci Rep Article Methane (CH(4)) is an important greenhouse gas (GHG). Enteric methane emissions from farmed ruminant livestock account for approximately 15% of global GHG emissions, with approximately 44% of livestock emissions in the form of methane. The purpose of the research is to study the influence of feeding types and regional characteristics of Kazakhstan on the microbiota of feces and the number of methane-forming archaea of beef and meat-and-dairy cattle productivity. For this purpose, fecal samples were taken rectally from 37 cattle heads from four regions of Kazakhstan (Western, Southern, Northern and Southeast). The taxonomic composition of the community in all samples was determined by 16S metabarcoding; additionally alpha and beta diversities were calculated. The dominant phyla were: Firmicutes (57.30%), Bacteroidetes (17.00%), Verrucomicrobia (6.88%), Euryarchaeota (6.49%), Actinobacteria (4.77%) and Patescibacteria (3.38%). Significant differences with regard to methanogens bacteria were found: Euryarchaeota were less present in animals from Western Kazakhstan (2.40%), while Methanobacteriales and Methanobrevibacter were prevalent in Southeast, and less abundant in Western region. Western Kazakhstan differs from the other regions likely because animals are mainly grazed in the pasture. Thus, grazing animals has an impact on their microbiota thus leading to a decrease in methane emissions. Nature Publishing Group UK 2022-09-30 /pmc/articles/PMC9525287/ /pubmed/36180559 http://dx.doi.org/10.1038/s41598-022-20732-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Daugaliyeva, Aida
Daugaliyeva, Saule
Ashanin, Alexander
Kanatbayev, Serik
Beltramo, Chiara
Peletto, Simone
Study of cattle microbiota in different regions of Kazakhstan using 16S metabarcoding analysis
title Study of cattle microbiota in different regions of Kazakhstan using 16S metabarcoding analysis
title_full Study of cattle microbiota in different regions of Kazakhstan using 16S metabarcoding analysis
title_fullStr Study of cattle microbiota in different regions of Kazakhstan using 16S metabarcoding analysis
title_full_unstemmed Study of cattle microbiota in different regions of Kazakhstan using 16S metabarcoding analysis
title_short Study of cattle microbiota in different regions of Kazakhstan using 16S metabarcoding analysis
title_sort study of cattle microbiota in different regions of kazakhstan using 16s metabarcoding analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9525287/
https://www.ncbi.nlm.nih.gov/pubmed/36180559
http://dx.doi.org/10.1038/s41598-022-20732-4
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