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Comparative metagenomics reveals expanded insights into intra- and interspecific variation among wild bee microbiomes
The holobiont approach proposes that species are most fully understood within the context of their associated microbiomes, and that both host and microbial community are locked in a mutual circuit of co-evolutionary selection. Bees are an ideal group for this approach, as they comprise a critical gr...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205906/ https://www.ncbi.nlm.nih.gov/pubmed/35715496 http://dx.doi.org/10.1038/s42003-022-03535-1 |
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author | Shell, Wyatt A. Rehan, Sandra M. |
author_facet | Shell, Wyatt A. Rehan, Sandra M. |
author_sort | Shell, Wyatt A. |
collection | PubMed |
description | The holobiont approach proposes that species are most fully understood within the context of their associated microbiomes, and that both host and microbial community are locked in a mutual circuit of co-evolutionary selection. Bees are an ideal group for this approach, as they comprise a critical group of pollinators that contribute to both ecological and agricultural health worldwide. Metagenomic analyses offer comprehensive insights into an organism’s microbiome, diet, and viral load, but remain largely unapplied to wild bees. Here, we present metagenomic data from three species of carpenter bees sampled from around the globe, representative of the first ever carpenter bee core microbiome. Machine learning, co-occurrence, and network analyses reveal that wild bee metagenomes are unique to host species. Further, we find that microbiomes are likely strongly affected by features of their local environment, and feature evidence of plant pathogens previously known only in honey bees. Performing the most comprehensive comparative analysis of bee microbiomes to date we discover that microbiome diversity is inversely proportional to host species social complexity. Our study helps to establish some of the first wild bee hologenomic data while offering powerful empirical insights into the biology and health of vital pollinators. |
format | Online Article Text |
id | pubmed-9205906 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92059062022-06-19 Comparative metagenomics reveals expanded insights into intra- and interspecific variation among wild bee microbiomes Shell, Wyatt A. Rehan, Sandra M. Commun Biol Article The holobiont approach proposes that species are most fully understood within the context of their associated microbiomes, and that both host and microbial community are locked in a mutual circuit of co-evolutionary selection. Bees are an ideal group for this approach, as they comprise a critical group of pollinators that contribute to both ecological and agricultural health worldwide. Metagenomic analyses offer comprehensive insights into an organism’s microbiome, diet, and viral load, but remain largely unapplied to wild bees. Here, we present metagenomic data from three species of carpenter bees sampled from around the globe, representative of the first ever carpenter bee core microbiome. Machine learning, co-occurrence, and network analyses reveal that wild bee metagenomes are unique to host species. Further, we find that microbiomes are likely strongly affected by features of their local environment, and feature evidence of plant pathogens previously known only in honey bees. Performing the most comprehensive comparative analysis of bee microbiomes to date we discover that microbiome diversity is inversely proportional to host species social complexity. Our study helps to establish some of the first wild bee hologenomic data while offering powerful empirical insights into the biology and health of vital pollinators. Nature Publishing Group UK 2022-06-17 /pmc/articles/PMC9205906/ /pubmed/35715496 http://dx.doi.org/10.1038/s42003-022-03535-1 Text en © The Author(s) 2022 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 Shell, Wyatt A. Rehan, Sandra M. Comparative metagenomics reveals expanded insights into intra- and interspecific variation among wild bee microbiomes |
title | Comparative metagenomics reveals expanded insights into intra- and interspecific variation among wild bee microbiomes |
title_full | Comparative metagenomics reveals expanded insights into intra- and interspecific variation among wild bee microbiomes |
title_fullStr | Comparative metagenomics reveals expanded insights into intra- and interspecific variation among wild bee microbiomes |
title_full_unstemmed | Comparative metagenomics reveals expanded insights into intra- and interspecific variation among wild bee microbiomes |
title_short | Comparative metagenomics reveals expanded insights into intra- and interspecific variation among wild bee microbiomes |
title_sort | comparative metagenomics reveals expanded insights into intra- and interspecific variation among wild bee microbiomes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205906/ https://www.ncbi.nlm.nih.gov/pubmed/35715496 http://dx.doi.org/10.1038/s42003-022-03535-1 |
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