This repository contains open-source code, data, & text files for
For information regarding the project, please visit: Peralta, A. L., Y. Sun, M. D. McDaniel, and J. T. Lennon. 2018. Crop rotational diversity increases disease suppressive capacity of soil microbiomes. Ecosphere 9(5):e02235. 10.1002/ecs2.2235
Raw sequence files can be found at NCBI SRA BioProject ID PRJNA472091.
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Aim 1.): What is the relationship between crop diversity and soil microbial community composition and PPS potential?
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Aim 2.): What is the role of changes in soil physicochemical properties on the crop diversity effect on soil microbial community composition and PPS populations?
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analyses:: An R Markdown file that includes R script written by Mario Muscarella, Yanmei Sun, and Ariane Peralta containing functions used in analysis of soil and microbial sequence data.
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bin:
- MothurTools.R: An R script written by Mario Muscarella (Indiana University, now at University of Illinois) containing functions used in the analysis of community sequence data.
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data:: Files associated with soil and microbial data sets.
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figures:: Figures (of soil, microbes) generated according to R script located in R Markdown file.
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mothur:: Files containing script for bioinformatic analysis of 16S rRNA gene sequences (Illumina MiSeq platform) using mothur pipeline.
Dr. Ariane Peralta: Principal Investigator, Assistant Professor, Department of Biology, East Carolina University. Principal Investigator of the Peralta Lab
Dr. Mario Muscarella: Postdoc in the O'Dwyer Lab at the University of Illinois at Urbana-Champaign