Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Manipulating the Maize (Zea mays) Microbiome

Authors: Sierra S. Raglin; Alonso Favela; Daniel Laspisa; Jason G. Wallace;

Manipulating the Maize (Zea mays) Microbiome

Abstract

Maize (Zea mays) is a multifaceted cereal grass used globally for nutrition, animal feed, food processing, and biofuels, and a model system in genetics research. Studying the maize microbiome sometimes requires its manipulation to identify the contributions of specific taxa and ecological traits (i.e., diversity, richness, network structure) to maize growth and physiology. Due to regulatory constraints on applying engineered microorganisms in field settings, greenhouse-based experimentation is often the first step for understanding the contribution of root-associated microbiota—whether natural or engineered—to plant phenotypes. In this protocol, we describe methods to inoculate maize with a specific microbiome as a tool for understanding the microbiota's influence on its host plant. The protocol involves removal of the native seed microbiome followed by inoculation of new microorganisms; separate protocols are provided for inoculations from pure culture, from soil slurry, or by mixing in live soil. These protocols cover the most common methods for manipulating the maize microbiome in soil-grown plants in the greenhouse. The methods outlined will ultimately result in rhizosphere microbial assemblages with varying degrees of microbial diversity, ranging from low diversity (individual strain and synthetic community [SynCom] inoculation) to high diversity (percent live inoculation), with the slurry inoculation method representing an “intermediate diversity” treatment.

Keywords

Microbiota, Rhizosphere, Zea mays, Plant Roots, Soil Microbiology

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!