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Functional glyco-metagenomics elucidates the role of glycan-related genes in environments
BACKGROUND: Glycan-related genes play a fundamental role in various processes for energy acquisition and homeostasis maintenance while adapting to the environment in which the organism exists; however, their role in the microbiome in the environment is unclear. METHODS: Sequence alignment was perfor...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8522060/ https://www.ncbi.nlm.nih.gov/pubmed/34663219 http://dx.doi.org/10.1186/s12859-021-04425-9 |
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author | Takihara, Hayato Miura, Nobuaki Aoki-Kinoshita, Kiyoko F. Okuda, Shujiro |
author_facet | Takihara, Hayato Miura, Nobuaki Aoki-Kinoshita, Kiyoko F. Okuda, Shujiro |
author_sort | Takihara, Hayato |
collection | PubMed |
description | BACKGROUND: Glycan-related genes play a fundamental role in various processes for energy acquisition and homeostasis maintenance while adapting to the environment in which the organism exists; however, their role in the microbiome in the environment is unclear. METHODS: Sequence alignment was performed between known glycan-related genes and complete genomes of microorganisms, and optimal parameters for identifying glycan-related genes were determined based on the alignments. Using the constructed scheme (> 90% of identity and > 25 aa of alignment length), glycan-related genes in various environments were identified from 198 different metagenome data. RESULTS: As a result, we identified 86.73 million glycan-related genes from the metagenome data. Among the 12 environments classified in this study, the percentage of glycan-related genes was high in the human-associated environment, suggesting that these environments utilize glycan metabolism better than other environments. On the other hand, the relative abundances of both glycoside hydrolases and glycosyltransferases surprisingly had a coverage of over 80% in all the environments. These glycoside hydrolases and glycosyltransferases were classified into two groups of (1) general enzyme families identified in various environments and (2) specific enzymes found only in certain environments. The general enzyme families were mostly from genes involved in monosaccharide metabolism, and most of the specific enzymes were polysaccharide degrading enzymes. CONCLUSION: These findings suggest that environmental microorganisms could change the composition of their glycan-related genes to adapt the processes involved in acquiring energy from glycans in their environments. Our functional glyco-metagenomics approach has made it possible to clarify the relationship between the environment and genes from the perspective of carbohydrates, and the existence of glycan-related genes that exist specifically in the environment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-021-04425-9. |
format | Online Article Text |
id | pubmed-8522060 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85220602021-10-21 Functional glyco-metagenomics elucidates the role of glycan-related genes in environments Takihara, Hayato Miura, Nobuaki Aoki-Kinoshita, Kiyoko F. Okuda, Shujiro BMC Bioinformatics Research BACKGROUND: Glycan-related genes play a fundamental role in various processes for energy acquisition and homeostasis maintenance while adapting to the environment in which the organism exists; however, their role in the microbiome in the environment is unclear. METHODS: Sequence alignment was performed between known glycan-related genes and complete genomes of microorganisms, and optimal parameters for identifying glycan-related genes were determined based on the alignments. Using the constructed scheme (> 90% of identity and > 25 aa of alignment length), glycan-related genes in various environments were identified from 198 different metagenome data. RESULTS: As a result, we identified 86.73 million glycan-related genes from the metagenome data. Among the 12 environments classified in this study, the percentage of glycan-related genes was high in the human-associated environment, suggesting that these environments utilize glycan metabolism better than other environments. On the other hand, the relative abundances of both glycoside hydrolases and glycosyltransferases surprisingly had a coverage of over 80% in all the environments. These glycoside hydrolases and glycosyltransferases were classified into two groups of (1) general enzyme families identified in various environments and (2) specific enzymes found only in certain environments. The general enzyme families were mostly from genes involved in monosaccharide metabolism, and most of the specific enzymes were polysaccharide degrading enzymes. CONCLUSION: These findings suggest that environmental microorganisms could change the composition of their glycan-related genes to adapt the processes involved in acquiring energy from glycans in their environments. Our functional glyco-metagenomics approach has made it possible to clarify the relationship between the environment and genes from the perspective of carbohydrates, and the existence of glycan-related genes that exist specifically in the environment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-021-04425-9. BioMed Central 2021-10-18 /pmc/articles/PMC8522060/ /pubmed/34663219 http://dx.doi.org/10.1186/s12859-021-04425-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Takihara, Hayato Miura, Nobuaki Aoki-Kinoshita, Kiyoko F. Okuda, Shujiro Functional glyco-metagenomics elucidates the role of glycan-related genes in environments |
title | Functional glyco-metagenomics elucidates the role of glycan-related genes in environments |
title_full | Functional glyco-metagenomics elucidates the role of glycan-related genes in environments |
title_fullStr | Functional glyco-metagenomics elucidates the role of glycan-related genes in environments |
title_full_unstemmed | Functional glyco-metagenomics elucidates the role of glycan-related genes in environments |
title_short | Functional glyco-metagenomics elucidates the role of glycan-related genes in environments |
title_sort | functional glyco-metagenomics elucidates the role of glycan-related genes in environments |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8522060/ https://www.ncbi.nlm.nih.gov/pubmed/34663219 http://dx.doi.org/10.1186/s12859-021-04425-9 |
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