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Cropping practices manipulate abundance patterns of root and soil microbiome members paving the way to smart farming
BACKGROUND: Harnessing beneficial microbes presents a promising strategy to optimize plant growth and agricultural sustainability. Little is known to which extent and how specifically soil and plant microbiomes can be manipulated through different cropping practices. Here, we investigated soil and w...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5771023/ https://www.ncbi.nlm.nih.gov/pubmed/29338764 http://dx.doi.org/10.1186/s40168-017-0389-9 |
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author | Hartman, Kyle van der Heijden, Marcel G. A. Wittwer, Raphaël A. Banerjee, Samiran Walser, Jean-Claude Schlaeppi, Klaus |
author_facet | Hartman, Kyle van der Heijden, Marcel G. A. Wittwer, Raphaël A. Banerjee, Samiran Walser, Jean-Claude Schlaeppi, Klaus |
author_sort | Hartman, Kyle |
collection | PubMed |
description | BACKGROUND: Harnessing beneficial microbes presents a promising strategy to optimize plant growth and agricultural sustainability. Little is known to which extent and how specifically soil and plant microbiomes can be manipulated through different cropping practices. Here, we investigated soil and wheat root microbial communities in a cropping system experiment consisting of conventional and organic managements, both with different tillage intensities. RESULTS: While microbial richness was marginally affected, we found pronounced cropping effects on community composition, which were specific for the respective microbiomes. Soil bacterial communities were primarily structured by tillage, whereas soil fungal communities responded mainly to management type with additional effects by tillage. In roots, management type was also the driving factor for bacteria but not for fungi, which were generally determined by changes in tillage intensity. To quantify an “effect size” for microbiota manipulation, we found that about 10% of variation in microbial communities was explained by the tested cropping practices. Cropping sensitive microbes were taxonomically diverse, and they responded in guilds of taxa to the specific practices. These microbes also included frequent community members or members co-occurring with many other microbes in the community, suggesting that cropping practices may allow manipulation of influential community members. CONCLUSIONS: Understanding the abundance patterns of cropping sensitive microbes presents the basis towards developing microbiota management strategies for smart farming. For future targeted microbiota management—e.g., to foster certain microbes with specific agricultural practices—a next step will be to identify the functional traits of the cropping sensitive microbes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-017-0389-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5771023 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-57710232018-01-25 Cropping practices manipulate abundance patterns of root and soil microbiome members paving the way to smart farming Hartman, Kyle van der Heijden, Marcel G. A. Wittwer, Raphaël A. Banerjee, Samiran Walser, Jean-Claude Schlaeppi, Klaus Microbiome Research BACKGROUND: Harnessing beneficial microbes presents a promising strategy to optimize plant growth and agricultural sustainability. Little is known to which extent and how specifically soil and plant microbiomes can be manipulated through different cropping practices. Here, we investigated soil and wheat root microbial communities in a cropping system experiment consisting of conventional and organic managements, both with different tillage intensities. RESULTS: While microbial richness was marginally affected, we found pronounced cropping effects on community composition, which were specific for the respective microbiomes. Soil bacterial communities were primarily structured by tillage, whereas soil fungal communities responded mainly to management type with additional effects by tillage. In roots, management type was also the driving factor for bacteria but not for fungi, which were generally determined by changes in tillage intensity. To quantify an “effect size” for microbiota manipulation, we found that about 10% of variation in microbial communities was explained by the tested cropping practices. Cropping sensitive microbes were taxonomically diverse, and they responded in guilds of taxa to the specific practices. These microbes also included frequent community members or members co-occurring with many other microbes in the community, suggesting that cropping practices may allow manipulation of influential community members. CONCLUSIONS: Understanding the abundance patterns of cropping sensitive microbes presents the basis towards developing microbiota management strategies for smart farming. For future targeted microbiota management—e.g., to foster certain microbes with specific agricultural practices—a next step will be to identify the functional traits of the cropping sensitive microbes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-017-0389-9) contains supplementary material, which is available to authorized users. BioMed Central 2018-01-16 /pmc/articles/PMC5771023/ /pubmed/29338764 http://dx.doi.org/10.1186/s40168-017-0389-9 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Hartman, Kyle van der Heijden, Marcel G. A. Wittwer, Raphaël A. Banerjee, Samiran Walser, Jean-Claude Schlaeppi, Klaus Cropping practices manipulate abundance patterns of root and soil microbiome members paving the way to smart farming |
title | Cropping practices manipulate abundance patterns of root and soil microbiome members paving the way to smart farming |
title_full | Cropping practices manipulate abundance patterns of root and soil microbiome members paving the way to smart farming |
title_fullStr | Cropping practices manipulate abundance patterns of root and soil microbiome members paving the way to smart farming |
title_full_unstemmed | Cropping practices manipulate abundance patterns of root and soil microbiome members paving the way to smart farming |
title_short | Cropping practices manipulate abundance patterns of root and soil microbiome members paving the way to smart farming |
title_sort | cropping practices manipulate abundance patterns of root and soil microbiome members paving the way to smart farming |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5771023/ https://www.ncbi.nlm.nih.gov/pubmed/29338764 http://dx.doi.org/10.1186/s40168-017-0389-9 |
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