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Functionally-explicit sampling can answer key questions about the specificity of plant–microbe interactions

The rhizosphere is a nexus for plant–microbe interactions and, as a host-structured environment, a location of high activity for distinct microbes and plant species. Although our insights into this habitat have exploded in recent years, we are still limited in our ability to answer key questions abo...

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Autores principales: Fleishman, Suzanne M., Eissenstat, David M., Bell, Terrence H., Centinari, Michela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9555203/
https://www.ncbi.nlm.nih.gov/pubmed/36221138
http://dx.doi.org/10.1186/s40793-022-00445-x
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author Fleishman, Suzanne M.
Eissenstat, David M.
Bell, Terrence H.
Centinari, Michela
author_facet Fleishman, Suzanne M.
Eissenstat, David M.
Bell, Terrence H.
Centinari, Michela
author_sort Fleishman, Suzanne M.
collection PubMed
description The rhizosphere is a nexus for plant–microbe interactions and, as a host-structured environment, a location of high activity for distinct microbes and plant species. Although our insights into this habitat have exploded in recent years, we are still limited in our ability to answer key questions about the specificity of these root-microbial relationships. In particular, it can be difficult to confirm or reject microbiome heritability in many plant systems and to pinpoint which microbial taxa are key to plant functioning. Like other host-structured environments, the rhizosphere is structurally, chemically, and biologically complex, driven largely by differences in root anatomy, location, and function. In this Correspondence, we describe a review of 377 “rhizosphere microbiome” research papers and demonstrate how matching a sampling method to the biological question can advance our understanding of host-microbe interactions in a functionally heterogeneous environment. We found that the vast majority of studies (92%) pool all roots from a root system during sampling, ignoring variation in microbial composition between roots of different function and limiting insight into key root-microbial relationships. Furthermore, approaches for removing root-associated microbes are highly variable and non-standard, complicating multi-study analyses. Our understanding of the strength and nature of host-microbe relationships in heterogenous host-microbiome environments can be clarified by targeting sampling to locations of high interaction. While the high complexity of the rhizosphere creates logistical challenges, we suggest that unambiguous language and refined approaches will improve our ability to match methods to research questions and advance our understanding of the specificity of plant-microbial interactions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40793-022-00445-x.
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spelling pubmed-95552032022-10-13 Functionally-explicit sampling can answer key questions about the specificity of plant–microbe interactions Fleishman, Suzanne M. Eissenstat, David M. Bell, Terrence H. Centinari, Michela Environ Microbiome Correspondence The rhizosphere is a nexus for plant–microbe interactions and, as a host-structured environment, a location of high activity for distinct microbes and plant species. Although our insights into this habitat have exploded in recent years, we are still limited in our ability to answer key questions about the specificity of these root-microbial relationships. In particular, it can be difficult to confirm or reject microbiome heritability in many plant systems and to pinpoint which microbial taxa are key to plant functioning. Like other host-structured environments, the rhizosphere is structurally, chemically, and biologically complex, driven largely by differences in root anatomy, location, and function. In this Correspondence, we describe a review of 377 “rhizosphere microbiome” research papers and demonstrate how matching a sampling method to the biological question can advance our understanding of host-microbe interactions in a functionally heterogeneous environment. We found that the vast majority of studies (92%) pool all roots from a root system during sampling, ignoring variation in microbial composition between roots of different function and limiting insight into key root-microbial relationships. Furthermore, approaches for removing root-associated microbes are highly variable and non-standard, complicating multi-study analyses. Our understanding of the strength and nature of host-microbe relationships in heterogenous host-microbiome environments can be clarified by targeting sampling to locations of high interaction. While the high complexity of the rhizosphere creates logistical challenges, we suggest that unambiguous language and refined approaches will improve our ability to match methods to research questions and advance our understanding of the specificity of plant-microbial interactions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40793-022-00445-x. BioMed Central 2022-10-11 /pmc/articles/PMC9555203/ /pubmed/36221138 http://dx.doi.org/10.1186/s40793-022-00445-x Text en © The Author(s) 2022 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 Correspondence
Fleishman, Suzanne M.
Eissenstat, David M.
Bell, Terrence H.
Centinari, Michela
Functionally-explicit sampling can answer key questions about the specificity of plant–microbe interactions
title Functionally-explicit sampling can answer key questions about the specificity of plant–microbe interactions
title_full Functionally-explicit sampling can answer key questions about the specificity of plant–microbe interactions
title_fullStr Functionally-explicit sampling can answer key questions about the specificity of plant–microbe interactions
title_full_unstemmed Functionally-explicit sampling can answer key questions about the specificity of plant–microbe interactions
title_short Functionally-explicit sampling can answer key questions about the specificity of plant–microbe interactions
title_sort functionally-explicit sampling can answer key questions about the specificity of plant–microbe interactions
topic Correspondence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9555203/
https://www.ncbi.nlm.nih.gov/pubmed/36221138
http://dx.doi.org/10.1186/s40793-022-00445-x
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