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Deciphering the Microbiome: Integrating Theory, New Technologies, and Inclusive Science

The diversity and functional significance of microbiomes have become increasingly clear through the extensive sampling of Earth's many habitats and the rapid adoption of new sequencing technologies. However, much remains unknown about what makes a “healthy” microbiome, how to restore a disrupte...

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Autores principales: Milligan-McClellan, Kathryn C., Dundore-Arias, José Pablo, Klassen, Jonathan L., Shade, Ashley, Kinkel, Linda L., Wolfe, Benjamin E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9600927/
https://www.ncbi.nlm.nih.gov/pubmed/36073805
http://dx.doi.org/10.1128/msystems.00583-22
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author Milligan-McClellan, Kathryn C.
Dundore-Arias, José Pablo
Klassen, Jonathan L.
Shade, Ashley
Kinkel, Linda L.
Wolfe, Benjamin E.
author_facet Milligan-McClellan, Kathryn C.
Dundore-Arias, José Pablo
Klassen, Jonathan L.
Shade, Ashley
Kinkel, Linda L.
Wolfe, Benjamin E.
author_sort Milligan-McClellan, Kathryn C.
collection PubMed
description The diversity and functional significance of microbiomes have become increasingly clear through the extensive sampling of Earth's many habitats and the rapid adoption of new sequencing technologies. However, much remains unknown about what makes a “healthy” microbiome, how to restore a disrupted microbiome, and how microbiomes assemble. In December 2019, we convened a workshop that focused on how to identify potential “rules of life” that govern microbiome structure and function. This collection of mSystems Perspective pieces reflects many of the main challenges and opportunities in the field identified by both in-person and virtual workshop participants. By borrowing conceptual and theoretical approaches from other fields, including economics and philosophy, these pieces suggest new ways to dissect microbiome patterns and processes. The application of conceptual advances, including trait-based theory and community coalescence, is providing new insights on how to predict and manage microbiome diversity and function. Technological and analytical advances, including deep transfer learning, metabolic models, and advances in analytical chemistry, are helping us sift through complex systems to pinpoint mechanisms of microbiome assembly and dynamics. Integration of all of these advancements (theory, concepts, technology) across biological and spatial scales is providing dramatically improved temporal and spatial resolution of microbiome dynamics. This integrative microbiome research is happening in a new moment in science where academic institutions, scientific societies, and funding agencies must act collaboratively to support and train a diverse and inclusive community of microbiome scientists.
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spelling pubmed-96009272022-10-27 Deciphering the Microbiome: Integrating Theory, New Technologies, and Inclusive Science Milligan-McClellan, Kathryn C. Dundore-Arias, José Pablo Klassen, Jonathan L. Shade, Ashley Kinkel, Linda L. Wolfe, Benjamin E. mSystems Editorial The diversity and functional significance of microbiomes have become increasingly clear through the extensive sampling of Earth's many habitats and the rapid adoption of new sequencing technologies. However, much remains unknown about what makes a “healthy” microbiome, how to restore a disrupted microbiome, and how microbiomes assemble. In December 2019, we convened a workshop that focused on how to identify potential “rules of life” that govern microbiome structure and function. This collection of mSystems Perspective pieces reflects many of the main challenges and opportunities in the field identified by both in-person and virtual workshop participants. By borrowing conceptual and theoretical approaches from other fields, including economics and philosophy, these pieces suggest new ways to dissect microbiome patterns and processes. The application of conceptual advances, including trait-based theory and community coalescence, is providing new insights on how to predict and manage microbiome diversity and function. Technological and analytical advances, including deep transfer learning, metabolic models, and advances in analytical chemistry, are helping us sift through complex systems to pinpoint mechanisms of microbiome assembly and dynamics. Integration of all of these advancements (theory, concepts, technology) across biological and spatial scales is providing dramatically improved temporal and spatial resolution of microbiome dynamics. This integrative microbiome research is happening in a new moment in science where academic institutions, scientific societies, and funding agencies must act collaboratively to support and train a diverse and inclusive community of microbiome scientists. American Society for Microbiology 2022-09-08 /pmc/articles/PMC9600927/ /pubmed/36073805 http://dx.doi.org/10.1128/msystems.00583-22 Text en Copyright © 2022 Milligan-McClellan et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Editorial
Milligan-McClellan, Kathryn C.
Dundore-Arias, José Pablo
Klassen, Jonathan L.
Shade, Ashley
Kinkel, Linda L.
Wolfe, Benjamin E.
Deciphering the Microbiome: Integrating Theory, New Technologies, and Inclusive Science
title Deciphering the Microbiome: Integrating Theory, New Technologies, and Inclusive Science
title_full Deciphering the Microbiome: Integrating Theory, New Technologies, and Inclusive Science
title_fullStr Deciphering the Microbiome: Integrating Theory, New Technologies, and Inclusive Science
title_full_unstemmed Deciphering the Microbiome: Integrating Theory, New Technologies, and Inclusive Science
title_short Deciphering the Microbiome: Integrating Theory, New Technologies, and Inclusive Science
title_sort deciphering the microbiome: integrating theory, new technologies, and inclusive science
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9600927/
https://www.ncbi.nlm.nih.gov/pubmed/36073805
http://dx.doi.org/10.1128/msystems.00583-22
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