Skip to content

kalen-rasmussen/PAPER_Shade_CurrOpinMicro

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Github Repository for

Abundance-occupancy distributions to prioritize plant core microbiome membership

by Ashley Shade and Nejc Stopnisek

This work is published.

To cite this work or code

Shade A and N Stopnisek. Abundance-occupancy distributions to prioritize core plant microbiome membership. AOP 9 November 2019. Current Opinion in Microbiology, Focus Issue on the Plant Microbiota. https://doi.org/10.1016/j.mib.2019.09.008

Abstract

Core microbiome members are consistent features of a dataset that are hypothesized to reflect underlying functional relationships with the host. A review of the recent plant-microbiome literature reveals a variety of study-specific approaches used to define the core, which presents a challenge to building a general plant-microbiome framework. Abundance-occupancy distributions, used in macroecology to describe changes in community diversity over space, offer an ecological approach for prioritizing core membership for both spatial and temporal studies. Additionally, neutral models fit to the abundance-occupancy distributions can provide insights into deterministically selected core members. We provide examples and code to systematically explore a core plant microbiome from abundance-occupancy distributions. Though we focus on examples from and discussions relevant to the plant microbiome, the abundance-occupancy method can be widely and generally applied to prioritize core membership for any microbiome.

Funding

This material is based upon work supported in part by the Great Lakes Bioenergy Research Center, U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research under Award Number DE-SC0018409, and in part by the Michigan State University Plant Resilience Institute. AS acknowledges support from the USDA National Institute of Food and Agriculture and Michigan State University AgBioResearch. This work was supported in part by Michigan State University through computational resources provided by the Institute for Cyber-Enabled Research.

More info

ShadeLab

About

Containing script for investigating core microbiota

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • PostScript 98.1%
  • R 1.9%