Simultaneous Discovery of Positive and Negative Interactions Among Rhizosphere Bacteria Using Microwell Recovery Arrays

Understanding microbe-microbe interactions is critical to predict microbiome function and to construct communities for desired outcomes. Investigation of these interactions poses a significant challenge due to the lack of suitable experimental tools available. Here we present the microwell recovery...

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Bibliographic Details
Published in:Frontiers in microbiology 2021-01, Vol.11 (1), p.601788
Main Authors: Barua, Niloy, Herken, Ashlee M, Stern, Kyle R, Reese, Sean, Powers, Roger L, Morrell-Falvey, Jennifer L, Platt, Thomas G, Hansen, Ryan R
Format: Article
Language:English
Subjects:
BASIC BIOLOGICAL SCIENCES
consortia
high throughput screening
microbial communities
microbial interactions
Microbiology
microbiome
microdevice
microwell
plant growth promoting rhizobacteria
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Summary:Understanding microbe-microbe interactions is critical to predict microbiome function and to construct communities for desired outcomes. Investigation of these interactions poses a significant challenge due to the lack of suitable experimental tools available. Here we present the microwell recovery array (MRA), a new technology platform that screens interactions across a microbiome to uncover higher-order strain combinations that inhibit or promote the function of a focal species. One experimental trial generates 10 microbial communities that contain the focal species and a distinct random sample of uncharacterized cells from plant rhizosphere. Cells are sequentially recovered from individual wells that display highest or lowest levels of focal species growth using a high-resolution photopolymer extraction system. Interacting species are then identified and putative interactions are validated. Using this approach, we screen the poplar rhizosphere for strains affecting the growth of sp. YR343, a plant growth promoting bacteria isolated from rhizosphere. In one screen, we montiored 3,600 microwells within the array to uncover multiple antagonistic strains and a set of strains that promoted YR343 growth. The later demonstrates the unique ability of the platform to discover multi-membered consortia that generate emergent outcomes, thereby expanding the range of phenotypes that can be characterized from microbiomes. This knowledge will aid in the development of consortia for production, while the platform offers a new approach for screening and discovery of microbial interactions, applicable to any microbiome.
ISSN:1664-302X
1664-302X
DOI:10.3389/fmicb.2020.601788