Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Takihara, Hayato, Miura, Nobuaki, Aoki-Kinoshita, Kiyoko F., Okuda, Shujiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
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
_version_ 1784585018875576320
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
work_keys_str_mv AT takiharahayato functionalglycometagenomicselucidatestheroleofglycanrelatedgenesinenvironments
AT miuranobuaki functionalglycometagenomicselucidatestheroleofglycanrelatedgenesinenvironments
AT aokikinoshitakiyokof functionalglycometagenomicselucidatestheroleofglycanrelatedgenesinenvironments
AT okudashujiro functionalglycometagenomicselucidatestheroleofglycanrelatedgenesinenvironments