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Gut Microbiota Profiles in Dairy Cattle from Highland and Coastal Regions Using Shotgun Metagenomic Approach
There is significant difference in milk production of highland and coastal regions in Indonesia of which the latter is critically low. The recent studies indicate a possibility of improving the milk yield and quality by manipulating the gut microbiota, for which profiling and abundance of gut microb...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481326/ https://www.ncbi.nlm.nih.gov/pubmed/36119925 http://dx.doi.org/10.1155/2022/3659052 |
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author | Prasetiyono, Bambang Waluyo Hadi Eko Widiyanto, Widiyanto Pandupuspitasari, Nuruliarizki Shinta |
author_facet | Prasetiyono, Bambang Waluyo Hadi Eko Widiyanto, Widiyanto Pandupuspitasari, Nuruliarizki Shinta |
author_sort | Prasetiyono, Bambang Waluyo Hadi Eko |
collection | PubMed |
description | There is significant difference in milk production of highland and coastal regions in Indonesia of which the latter is critically low. The recent studies indicate a possibility of improving the milk yield and quality by manipulating the gut microbiota, for which profiling and abundance of gut microbiota in these divergent regions need to be addressed. The present study was the first of its kind to explore the dairy cattle gut microbiota diversity, abundance, and functional annotation of the two divergent Indonesian regions, the highland and coastal regions, by shotgun metagenomic approach. Unfavorable environmental conditions such as type of forage grass in coastal regions and high temperature remain a limiting factor; however, the improvement through manipulating the gut microbiota was not considered until recently to improve the quality and quantity of coastal region dairy cattle. The application of recent advance technologies can help achieve this goal on sustainable basis. The results show Bacteroidetes in higher abundance in coastal region (FPP) than in highland (Salatiga) while Firmicutes were higher in Salatiga. Furthermore, a collective physiology of the community was found by annotating the sequences against KEGG, eggNOG, and CAZy databases. To identify the role in pathways, an mPATH analysis was performed to have insight into the microbiota community in different metabolic pathways. The identified targets can be used as prebiotic and/or probiotic to improve the average milk yield of coastal region dairy cattle by manipulating the dairy feed with desired microbes. |
format | Online Article Text |
id | pubmed-9481326 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-94813262022-09-17 Gut Microbiota Profiles in Dairy Cattle from Highland and Coastal Regions Using Shotgun Metagenomic Approach Prasetiyono, Bambang Waluyo Hadi Eko Widiyanto, Widiyanto Pandupuspitasari, Nuruliarizki Shinta Biomed Res Int Research Article There is significant difference in milk production of highland and coastal regions in Indonesia of which the latter is critically low. The recent studies indicate a possibility of improving the milk yield and quality by manipulating the gut microbiota, for which profiling and abundance of gut microbiota in these divergent regions need to be addressed. The present study was the first of its kind to explore the dairy cattle gut microbiota diversity, abundance, and functional annotation of the two divergent Indonesian regions, the highland and coastal regions, by shotgun metagenomic approach. Unfavorable environmental conditions such as type of forage grass in coastal regions and high temperature remain a limiting factor; however, the improvement through manipulating the gut microbiota was not considered until recently to improve the quality and quantity of coastal region dairy cattle. The application of recent advance technologies can help achieve this goal on sustainable basis. The results show Bacteroidetes in higher abundance in coastal region (FPP) than in highland (Salatiga) while Firmicutes were higher in Salatiga. Furthermore, a collective physiology of the community was found by annotating the sequences against KEGG, eggNOG, and CAZy databases. To identify the role in pathways, an mPATH analysis was performed to have insight into the microbiota community in different metabolic pathways. The identified targets can be used as prebiotic and/or probiotic to improve the average milk yield of coastal region dairy cattle by manipulating the dairy feed with desired microbes. Hindawi 2022-09-09 /pmc/articles/PMC9481326/ /pubmed/36119925 http://dx.doi.org/10.1155/2022/3659052 Text en Copyright © 2022 Bambang Waluyo Hadi Eko Prasetiyono et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Prasetiyono, Bambang Waluyo Hadi Eko Widiyanto, Widiyanto Pandupuspitasari, Nuruliarizki Shinta Gut Microbiota Profiles in Dairy Cattle from Highland and Coastal Regions Using Shotgun Metagenomic Approach |
title | Gut Microbiota Profiles in Dairy Cattle from Highland and Coastal Regions Using Shotgun Metagenomic Approach |
title_full | Gut Microbiota Profiles in Dairy Cattle from Highland and Coastal Regions Using Shotgun Metagenomic Approach |
title_fullStr | Gut Microbiota Profiles in Dairy Cattle from Highland and Coastal Regions Using Shotgun Metagenomic Approach |
title_full_unstemmed | Gut Microbiota Profiles in Dairy Cattle from Highland and Coastal Regions Using Shotgun Metagenomic Approach |
title_short | Gut Microbiota Profiles in Dairy Cattle from Highland and Coastal Regions Using Shotgun Metagenomic Approach |
title_sort | gut microbiota profiles in dairy cattle from highland and coastal regions using shotgun metagenomic approach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481326/ https://www.ncbi.nlm.nih.gov/pubmed/36119925 http://dx.doi.org/10.1155/2022/3659052 |
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