Demonstration of 16S rRNA-based microbiome analysis using dada2, phyloseq, LEfSe, picrust2 and other tools
16S-Demo web version: https://ycl6.github.io/16S-Demo/
16S-rDNA-V3-V4 repository: https://github.com/ycl6/16S-rDNA-V3-V4
Demo Dataset: PRJEB27564 from [Gut Microbiota in Parkinson's Disease: Temporal Stability and Relations to Disease Progression.](https://pubmed.ncbi.nlm. nih.gov/31221587/) EBioMedicine. 2019;44:691-707
License: GPL-3.0
In this tutorial, I will use the sequencing data from PRJEB27564 to demonstrate how to use dada2, phyloseq, LEfSe, picrust2 and other tools to process and analyse 16S rDNA amplicon sequencing data. We will perform analysis on fecal microbiome data obtained from 32 Parkinson's patients and 32 control subjects.
The universal bacterial primers used in the study are:
- 341F (5'-CCTACGGGNGGCWGCAG-3')
- 785R (5'-GACTACHVGGGTATCTAATCC-3')
Please refer to my GitHub repository here to install the required software, R packages and databases.
/ngs/16S-Demo/run_trimming.pl # Perl script to run cutadapt
/ngs/16S-Demo/PRJEB27564 # project folder
/ngs/16S-Demo/PRJEB27564/raw/*_1.fastq.gz # raw fastq files, read 1
/ngs/16S-Demo/PRJEB27564/raw/*_2.fastq.gz # raw fastq files, read 2
/ngs/16S-Demo/PRJEB27564/trimmed/*_1.fastq.gz # cutadapt trimmed files, read 1
/ngs/16S-Demo/PRJEB27564/trimmed/*_2.fastq.gz # cutadapt trimmed files, read 2
/ngs/16S-Demo/PRJEB27564/filt/*_1.fastq.gz # dada2 trimmed files, read 1
/ngs/16S-Demo/PRJEB27564/filt/*_1.fastq.gz # dada2 trimmed files, read 2
/ngs/16S-Demo/PRJEB27564/images # output images/PDFs
/ngs/16S-Demo/PRJEB27564/outfiles # output files
/ngs/16S-Demo/PRJEB27564/lefse # LEfSe & GraPhlAn output files
/ngs/16S-Demo/PRJEB27564/picrust2_out_stratified # picrust2 output files
Download the demo data (252 compressed fastq files, total 3.5GB) from the European Nucleotide Archive (ENA) FTP server using the included Shell script download.sh in the raw folder
cd /ngs/16S-Demo/PRJEB27564/raw
./download.sh