This project is maintained by ZakLab-Soils
This repository is associated with the manuscript "Active microorganisms in forest soils differ from the total community yet are shaped by the same environmental factors: the influence of pH and soil moisture" written by Karl J. Romanowicz, Zachary B. Freedman, Rima A. Upchurch, William A. Argiroff, and Donald R. Zak at the University of Michigan. Links are provided to the original raw sequencing data stored in the Sequence Read Archive at NCBI. Data stored in this repository include all .oligos files for extracting sample plot data from barcoded sequencing runs, final output files generated from the MOTHUR bioinformatic pipeline and used in all downstream statistics, and the RMarkdown dynamic document with rendered statistical code. The full MOTHUR batch files and associated reference databases are also included for reproducibility purposes.
Link to the rendered code file for production of all figures and statistical analyses (created with MI-Gradient-Romanowicz-2016.Rmd): http://rpubs.com/kjromano/MI_Gradient_Romanowicz_2016
Direct any questions regarding this repository to lead author Karl J. Romanowicz.
The original .fastq files were submitted to the NCBI Sequence Read Archive under BioProject PRJNA222775 with SRA accession numbers SRR1944476 and SRR1944477.
Data: Includes final output files from MOTHUR necessary to run statistics in R as well as the environmental metadata env.txt
necessary for PERMANOVA analyses.
.oligos
files for separating bacterial reads by plot.oligos
files for separating fungal reads by plotcons.tax.summary
filesgroups.summary
files.shared
filesZIP files need to be extracted and all resulting files placed directly in their corresponding directory folder for batch files to operate correctly.
MOTHUR_batch: includes two batch files for processing raw PacBio sequencing data through a custom MOTHUR bioinformatic pipeline.
bacteria.master.list.subsample.batch
Bacteria MOTHUR batch filefungi.master.list.subsample.batch
Fungi MOTHUR batch fileMI-Gradient-Romanowicz-2016.Rmd: RMarkdown dynamic document with rendered code for complete statistical reproducibility within the R environment.
Note: This project is under the General MIT Public License.