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Unlocking gut microbiota potential of dairy cows in varied environmental conditions using shotgun metagenomic approach

Food security and environmental pollution are major concerns for the expanding world population, where farm animals are the largest source of dietary proteins and are responsible for producing anthropogenic gases, including methane, especially by cows. We sampled the fecal microbiomes of cows from v...

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Autores principales: Khan, Faheem Ahmed, Pandupuspitasari, Nuruliarizki Shinta, Huang, Chunjie, Negara, Windu, Ahmed, Bilal, Putri, Ezi Masdia, Lestari, Puji, Priyatno, Tri Puji, Prima, Ari, Restitrisnani, Vita, Surachman, Maman, Akhadiarto, Sindu, Darmawan, I Wayan Angga, Wahyuni, Dimar Sari, Herdis, Herdis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10652448/
https://www.ncbi.nlm.nih.gov/pubmed/37974103
http://dx.doi.org/10.1186/s12866-023-03101-7
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author Khan, Faheem Ahmed
Pandupuspitasari, Nuruliarizki Shinta
Huang, Chunjie
Negara, Windu
Ahmed, Bilal
Putri, Ezi Masdia
Lestari, Puji
Priyatno, Tri Puji
Prima, Ari
Restitrisnani, Vita
Surachman, Maman
Akhadiarto, Sindu
Darmawan, I Wayan Angga
Wahyuni, Dimar Sari
Herdis, Herdis
author_facet Khan, Faheem Ahmed
Pandupuspitasari, Nuruliarizki Shinta
Huang, Chunjie
Negara, Windu
Ahmed, Bilal
Putri, Ezi Masdia
Lestari, Puji
Priyatno, Tri Puji
Prima, Ari
Restitrisnani, Vita
Surachman, Maman
Akhadiarto, Sindu
Darmawan, I Wayan Angga
Wahyuni, Dimar Sari
Herdis, Herdis
author_sort Khan, Faheem Ahmed
collection PubMed
description Food security and environmental pollution are major concerns for the expanding world population, where farm animals are the largest source of dietary proteins and are responsible for producing anthropogenic gases, including methane, especially by cows. We sampled the fecal microbiomes of cows from varying environmental regions of Pakistan to determine the better-performing microbiomes for higher yields and lower methane emissions by applying the shotgun metagenomic approach. We selected managed dairy farms in the Chakwal, Salt Range, and Patoki regions of Pakistan, and also incorporated animals from local farmers. Milk yield and milk fat, and protein contents were measured and correlated with microbiome diversity and function. The average milk protein content from the Salt Range farms was 2.68%, with an average peak milk yield of 45 litters/head/day, compared to 3.68% in Patoki farms with an average peak milk yield of 18 litters/head/day. Salt-range dairy cows prefer S-adenosyl-L-methionine (SAMe) to S-adenosyl-L-homocysteine (SAH) conversion reactions and are responsible for low milk protein content. It is linked to Bacteroides fragilles which account for 10% of the total Bacteroides, compared to 3% in the Patoki region. The solid Non-Fat in the salt range was 8.29%, whereas that in patoki was 6.34%. Moreover, Lactobacillus plantarum high abundance in Salt Range provided propionate as alternate sink to [H], and overcoming a Methanobrevibacter ruminantium high methane emissions in the Salt Range. Furthermore, our results identified ruminant fecal microbiomes that can be used as fecal microbiota transplants (FMT) to high-methane emitters and low-performing herds to increase farm output and reduce the environmental damage caused by anthropogenic gases emitted by dairy cows.
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spelling pubmed-106524482023-11-16 Unlocking gut microbiota potential of dairy cows in varied environmental conditions using shotgun metagenomic approach Khan, Faheem Ahmed Pandupuspitasari, Nuruliarizki Shinta Huang, Chunjie Negara, Windu Ahmed, Bilal Putri, Ezi Masdia Lestari, Puji Priyatno, Tri Puji Prima, Ari Restitrisnani, Vita Surachman, Maman Akhadiarto, Sindu Darmawan, I Wayan Angga Wahyuni, Dimar Sari Herdis, Herdis BMC Microbiol Research Food security and environmental pollution are major concerns for the expanding world population, where farm animals are the largest source of dietary proteins and are responsible for producing anthropogenic gases, including methane, especially by cows. We sampled the fecal microbiomes of cows from varying environmental regions of Pakistan to determine the better-performing microbiomes for higher yields and lower methane emissions by applying the shotgun metagenomic approach. We selected managed dairy farms in the Chakwal, Salt Range, and Patoki regions of Pakistan, and also incorporated animals from local farmers. Milk yield and milk fat, and protein contents were measured and correlated with microbiome diversity and function. The average milk protein content from the Salt Range farms was 2.68%, with an average peak milk yield of 45 litters/head/day, compared to 3.68% in Patoki farms with an average peak milk yield of 18 litters/head/day. Salt-range dairy cows prefer S-adenosyl-L-methionine (SAMe) to S-adenosyl-L-homocysteine (SAH) conversion reactions and are responsible for low milk protein content. It is linked to Bacteroides fragilles which account for 10% of the total Bacteroides, compared to 3% in the Patoki region. The solid Non-Fat in the salt range was 8.29%, whereas that in patoki was 6.34%. Moreover, Lactobacillus plantarum high abundance in Salt Range provided propionate as alternate sink to [H], and overcoming a Methanobrevibacter ruminantium high methane emissions in the Salt Range. Furthermore, our results identified ruminant fecal microbiomes that can be used as fecal microbiota transplants (FMT) to high-methane emitters and low-performing herds to increase farm output and reduce the environmental damage caused by anthropogenic gases emitted by dairy cows. BioMed Central 2023-11-16 /pmc/articles/PMC10652448/ /pubmed/37974103 http://dx.doi.org/10.1186/s12866-023-03101-7 Text en © The Author(s) 2023 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Khan, Faheem Ahmed
Pandupuspitasari, Nuruliarizki Shinta
Huang, Chunjie
Negara, Windu
Ahmed, Bilal
Putri, Ezi Masdia
Lestari, Puji
Priyatno, Tri Puji
Prima, Ari
Restitrisnani, Vita
Surachman, Maman
Akhadiarto, Sindu
Darmawan, I Wayan Angga
Wahyuni, Dimar Sari
Herdis, Herdis
Unlocking gut microbiota potential of dairy cows in varied environmental conditions using shotgun metagenomic approach
title Unlocking gut microbiota potential of dairy cows in varied environmental conditions using shotgun metagenomic approach
title_full Unlocking gut microbiota potential of dairy cows in varied environmental conditions using shotgun metagenomic approach
title_fullStr Unlocking gut microbiota potential of dairy cows in varied environmental conditions using shotgun metagenomic approach
title_full_unstemmed Unlocking gut microbiota potential of dairy cows in varied environmental conditions using shotgun metagenomic approach
title_short Unlocking gut microbiota potential of dairy cows in varied environmental conditions using shotgun metagenomic approach
title_sort unlocking gut microbiota potential of dairy cows in varied environmental conditions using shotgun metagenomic approach
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10652448/
https://www.ncbi.nlm.nih.gov/pubmed/37974103
http://dx.doi.org/10.1186/s12866-023-03101-7
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