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Co-abundance analysis reveals hidden players associated with high methane yield phenotype in sheep rumen microbiome
Rumen microbial environment hosts a variety of microorganisms that interact with each other to carry out the feed digestion and generation of several by-products especially methane, which plays an essential role in global warming as a greenhouse gas. However, due to its multi-factorial nature, the e...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7081230/ https://www.ncbi.nlm.nih.gov/pubmed/32193482 http://dx.doi.org/10.1038/s41598-020-61942-y |
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author | Ghanbari Maman, Leila Palizban, Fahimeh Fallah Atanaki, Fereshteh Elmi Ghiasi, Naser Ariaeenejad, Shohreh Ghaffari, Mohammad Reza Hosseini Salekdeh, Ghasem Kavousi, Kaveh |
author_facet | Ghanbari Maman, Leila Palizban, Fahimeh Fallah Atanaki, Fereshteh Elmi Ghiasi, Naser Ariaeenejad, Shohreh Ghaffari, Mohammad Reza Hosseini Salekdeh, Ghasem Kavousi, Kaveh |
author_sort | Ghanbari Maman, Leila |
collection | PubMed |
description | Rumen microbial environment hosts a variety of microorganisms that interact with each other to carry out the feed digestion and generation of several by-products especially methane, which plays an essential role in global warming as a greenhouse gas. However, due to its multi-factorial nature, the exact cause of methane production in the rumen has not yet been fully determined. The current study is an attempt to use system modeling to analyze the relationship between interacting components of rumen microbiome and its role in methane production. Metagenomic data of sheep rumen, with equal numbers of high methane yield (HMY) and low methane yield (LMY) samples, were used. As a well-known approach for the systematic comparative study of complex traits, the co-abundance networks were constructed in both operational taxonomic unit (OTU) and gene levels. A gene-catalog of 1,444 different rumen microbial strains was developed as a reference to measure gene abundances. The results from both types of co-abundance networks showed that methanogens, which are the main ruminal source for methanogenesis, need other microbial species to accomplish the task of methane production through producing the main precursor molecules like H(2) and acetate for methanogenesis pathway as their byproducts. KEGG Orthology(KO) analysis of the current study shows that the metabolism and growth rate of methanogens will be increased due to the higher rate of the metabolism and carbohydrate/fiber digestion pathways in the hidden elements. This finding proposes that any ruminant methane yield alteration strategy should consider complex interactions of rumen microbiome components as one tightly integrated unit rather than several separate parts. |
format | Online Article Text |
id | pubmed-7081230 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70812302020-03-23 Co-abundance analysis reveals hidden players associated with high methane yield phenotype in sheep rumen microbiome Ghanbari Maman, Leila Palizban, Fahimeh Fallah Atanaki, Fereshteh Elmi Ghiasi, Naser Ariaeenejad, Shohreh Ghaffari, Mohammad Reza Hosseini Salekdeh, Ghasem Kavousi, Kaveh Sci Rep Article Rumen microbial environment hosts a variety of microorganisms that interact with each other to carry out the feed digestion and generation of several by-products especially methane, which plays an essential role in global warming as a greenhouse gas. However, due to its multi-factorial nature, the exact cause of methane production in the rumen has not yet been fully determined. The current study is an attempt to use system modeling to analyze the relationship between interacting components of rumen microbiome and its role in methane production. Metagenomic data of sheep rumen, with equal numbers of high methane yield (HMY) and low methane yield (LMY) samples, were used. As a well-known approach for the systematic comparative study of complex traits, the co-abundance networks were constructed in both operational taxonomic unit (OTU) and gene levels. A gene-catalog of 1,444 different rumen microbial strains was developed as a reference to measure gene abundances. The results from both types of co-abundance networks showed that methanogens, which are the main ruminal source for methanogenesis, need other microbial species to accomplish the task of methane production through producing the main precursor molecules like H(2) and acetate for methanogenesis pathway as their byproducts. KEGG Orthology(KO) analysis of the current study shows that the metabolism and growth rate of methanogens will be increased due to the higher rate of the metabolism and carbohydrate/fiber digestion pathways in the hidden elements. This finding proposes that any ruminant methane yield alteration strategy should consider complex interactions of rumen microbiome components as one tightly integrated unit rather than several separate parts. Nature Publishing Group UK 2020-03-19 /pmc/articles/PMC7081230/ /pubmed/32193482 http://dx.doi.org/10.1038/s41598-020-61942-y Text en © The Author(s) 2020 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Ghanbari Maman, Leila Palizban, Fahimeh Fallah Atanaki, Fereshteh Elmi Ghiasi, Naser Ariaeenejad, Shohreh Ghaffari, Mohammad Reza Hosseini Salekdeh, Ghasem Kavousi, Kaveh Co-abundance analysis reveals hidden players associated with high methane yield phenotype in sheep rumen microbiome |
title | Co-abundance analysis reveals hidden players associated with high methane yield phenotype in sheep rumen microbiome |
title_full | Co-abundance analysis reveals hidden players associated with high methane yield phenotype in sheep rumen microbiome |
title_fullStr | Co-abundance analysis reveals hidden players associated with high methane yield phenotype in sheep rumen microbiome |
title_full_unstemmed | Co-abundance analysis reveals hidden players associated with high methane yield phenotype in sheep rumen microbiome |
title_short | Co-abundance analysis reveals hidden players associated with high methane yield phenotype in sheep rumen microbiome |
title_sort | co-abundance analysis reveals hidden players associated with high methane yield phenotype in sheep rumen microbiome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7081230/ https://www.ncbi.nlm.nih.gov/pubmed/32193482 http://dx.doi.org/10.1038/s41598-020-61942-y |
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