Towards Unraveling Macroecological Patterns in Rhizosphere Microbiomes

Caroline Brunel; Robin Pouteau; Wayne Dawson; Michael Pester; Kelly S. Ramirez; Mark van Kleunen

doi:10.1016/j.tplants.2020.04.015

Towards Unraveling Macroecological Patterns in Rhizosphere Microbiomes

Caroline Brunel^* (Corresponding author), Robin Pouteau, Wayne Dawson, Michael Pester, Kelly S. Ramirez, Mark van Kleunen

^*Corresponding author for this work

NIOO - Terrestrial Ecology (TE)

Research output: Contribution to journal/periodical › Article › Scientific › peer-review

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Abstract

It is generally accepted that plants locally influence the composition and activity of their rhizosphere microbiome, and that rhizosphere community assembly further involves a hierarchy of constraints with varying strengths across spatial and temporal scales. However, our knowledge of rhizosphere microbiomes is largely based on single-location and time-point studies. Consequently, it remains difficult to predict patterns at large landscape scales, and we lack a clear understanding of how the rhizosphere microbiome forms and is maintained by drivers beyond the influence of the plant. By synthesizing recent literature and collating data on rhizosphere microbiomes, we point out the opportunities and challenges offered by advances in molecular biology, bioinformatics, and data availability. Specifically, we highlight the use of exact sequence variants, coupled with existing and newly generated data to decipher the rules of rhizosphere community assembly across large spatial and taxonomic scales.

Original language	English
Pages (from-to)	1017-1029
Number of pages	13
Journal	Trends in Plant Science
Volume	25
Issue number	10
DOIs	https://doi.org/10.1016/j.tplants.2020.04.015
Publication status	Published - Oct 2020

Keywords

amplicon sequencing variants
macroecological patterns
meta-analysis of sequencing data
reference database
rhizosphere microbiome
international
Plan_S-Compliant_TA

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7109_BrunelFinal published version, 2.13 MBLicence: CC BY-NC-ND

Cite this

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title = "Towards Unraveling Macroecological Patterns in Rhizosphere Microbiomes",

abstract = "It is generally accepted that plants locally influence the composition and activity of their rhizosphere microbiome, and that rhizosphere community assembly further involves a hierarchy of constraints with varying strengths across spatial and temporal scales. However, our knowledge of rhizosphere microbiomes is largely based on single-location and time-point studies. Consequently, it remains difficult to predict patterns at large landscape scales, and we lack a clear understanding of how the rhizosphere microbiome forms and is maintained by drivers beyond the influence of the plant. By synthesizing recent literature and collating data on rhizosphere microbiomes, we point out the opportunities and challenges offered by advances in molecular biology, bioinformatics, and data availability. Specifically, we highlight the use of exact sequence variants, coupled with existing and newly generated data to decipher the rules of rhizosphere community assembly across large spatial and taxonomic scales.",

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AU - Pouteau, Robin

AU - Dawson, Wayne

AU - Pester, Michael

AU - Ramirez, Kelly S.

AU - van Kleunen, Mark

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AB - It is generally accepted that plants locally influence the composition and activity of their rhizosphere microbiome, and that rhizosphere community assembly further involves a hierarchy of constraints with varying strengths across spatial and temporal scales. However, our knowledge of rhizosphere microbiomes is largely based on single-location and time-point studies. Consequently, it remains difficult to predict patterns at large landscape scales, and we lack a clear understanding of how the rhizosphere microbiome forms and is maintained by drivers beyond the influence of the plant. By synthesizing recent literature and collating data on rhizosphere microbiomes, we point out the opportunities and challenges offered by advances in molecular biology, bioinformatics, and data availability. Specifically, we highlight the use of exact sequence variants, coupled with existing and newly generated data to decipher the rules of rhizosphere community assembly across large spatial and taxonomic scales.

KW - amplicon sequencing variants

KW - macroecological patterns

KW - meta-analysis of sequencing data

KW - reference database

KW - rhizosphere microbiome

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ER -

Towards Unraveling Macroecological Patterns in Rhizosphere Microbiomes

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Keywords

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