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Microbiome-based enrichment pattern mining has enabled a deeper understanding of the biome–species–function relationship

Microbes live in diverse habitats (i.e. biomes), yet their species and genes were biome-specific, forming enrichment patterns. These enrichment patterns have mirrored the biome–species–function relationship, which is shaped by ecological and evolutionary principles. However, a grand picture of these...

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Autores principales: Yang, Pengshuo, Zhu, Xue, Ning, Kang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10085995/
https://www.ncbi.nlm.nih.gov/pubmed/37037946
http://dx.doi.org/10.1038/s42003-023-04753-x
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author Yang, Pengshuo
Zhu, Xue
Ning, Kang
author_facet Yang, Pengshuo
Zhu, Xue
Ning, Kang
author_sort Yang, Pengshuo
collection PubMed
description Microbes live in diverse habitats (i.e. biomes), yet their species and genes were biome-specific, forming enrichment patterns. These enrichment patterns have mirrored the biome–species–function relationship, which is shaped by ecological and evolutionary principles. However, a grand picture of these enrichment patterns, as well as the roles of external and internal factors in driving these enrichment patterns, remain largely unexamined. In this work, we have examined the enrichment patterns based on 1705 microbiome samples from four representative biomes (Engineered, Gut, Freshwater, and Soil). Moreover, an “enrichment sphere” model was constructed to elucidate the regulatory principles behind these patterns. The driving factors for this model were revealed based on two case studies: (1) The copper-resistance genes were enriched in Soil biomes, owing to the copper contamination and horizontal gene transfer. (2) The flagellum-related genes were enriched in the Freshwater biome, due to high fluidity and vertical gene accumulation. Furthermore, this enrichment sphere model has valuable applications, such as in biome identification for metagenome samples, and in guiding 3D structure modeling of proteins. In summary, the enrichment sphere model aims towards creating a bluebook of the biome–species–function relationships and be applied in many fields.
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spelling pubmed-100859952023-04-12 Microbiome-based enrichment pattern mining has enabled a deeper understanding of the biome–species–function relationship Yang, Pengshuo Zhu, Xue Ning, Kang Commun Biol Article Microbes live in diverse habitats (i.e. biomes), yet their species and genes were biome-specific, forming enrichment patterns. These enrichment patterns have mirrored the biome–species–function relationship, which is shaped by ecological and evolutionary principles. However, a grand picture of these enrichment patterns, as well as the roles of external and internal factors in driving these enrichment patterns, remain largely unexamined. In this work, we have examined the enrichment patterns based on 1705 microbiome samples from four representative biomes (Engineered, Gut, Freshwater, and Soil). Moreover, an “enrichment sphere” model was constructed to elucidate the regulatory principles behind these patterns. The driving factors for this model were revealed based on two case studies: (1) The copper-resistance genes were enriched in Soil biomes, owing to the copper contamination and horizontal gene transfer. (2) The flagellum-related genes were enriched in the Freshwater biome, due to high fluidity and vertical gene accumulation. Furthermore, this enrichment sphere model has valuable applications, such as in biome identification for metagenome samples, and in guiding 3D structure modeling of proteins. In summary, the enrichment sphere model aims towards creating a bluebook of the biome–species–function relationships and be applied in many fields. Nature Publishing Group UK 2023-04-10 /pmc/articles/PMC10085995/ /pubmed/37037946 http://dx.doi.org/10.1038/s42003-023-04753-x 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 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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Yang, Pengshuo
Zhu, Xue
Ning, Kang
Microbiome-based enrichment pattern mining has enabled a deeper understanding of the biome–species–function relationship
title Microbiome-based enrichment pattern mining has enabled a deeper understanding of the biome–species–function relationship
title_full Microbiome-based enrichment pattern mining has enabled a deeper understanding of the biome–species–function relationship
title_fullStr Microbiome-based enrichment pattern mining has enabled a deeper understanding of the biome–species–function relationship
title_full_unstemmed Microbiome-based enrichment pattern mining has enabled a deeper understanding of the biome–species–function relationship
title_short Microbiome-based enrichment pattern mining has enabled a deeper understanding of the biome–species–function relationship
title_sort microbiome-based enrichment pattern mining has enabled a deeper understanding of the biome–species–function relationship
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10085995/
https://www.ncbi.nlm.nih.gov/pubmed/37037946
http://dx.doi.org/10.1038/s42003-023-04753-x
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