BIT 577 QIIME2 Tutorial

Isabella Livingston

Published: 2023-12-05 DOI: 10.17504/protocols.io.5jyl8pqe9g2w/v1

Abstract

Command line scripts for processing and analyzing 16S amplicon data using QIIME2.

Steps

1.

Download conda through the QIIME2 website or miniconda website. After installation, download and install QIIME2

2.

Activate Qiime environment:

conda activate qiime2-amplicon-2023.9

# change out to whatever version has been downloaded

3.

Import data

qiime tools import \

  --type 'SampleData[SequencesWithQuality]' \

  --input-path

/path/to/your/sequencefiles \

  --input-format CasavaOneEightSingleLanePerSampleDirFmt \

  --output-path demux-single-end.qza

4.

Check quality

qiime demux summarize --p-n 10000 --i-data demux-single-end.qza --o-visualization qual_viz

qiime tools view qual_viz.qzv      

5.

Denoise with DADA2

qiime dada2 denoise-single \

--i-demultiplexed-seqs demux-single-end.qza \

--p-trunc-len 200 \  #at what position you should trim your data based on the demux summary above

--o-table table.qza \ #ASV table

--o-representative-sequences rep-sets.qza \

--o-denoising-stats denoising-stats.qza

6.

Filter Sequence Table

qiime feature-table summarize \

--i-table table.qza \

--o-visualization vis_table

qiime tools view vis_table.qzv

7.

Align and Construct Phylogenetic Tree

qiime phylogeny align-to-tree-mafft-fasttree \ # program used for construction

--i-sequences rep-sets.qza \

--o-alignment aligned-rep-seqs.qza \

--o-masked-alignment masked-aligned-rep-seqs.qza \

--o-tree unrooted-tree.qza \

--o-rooted-tree rooted-tree.qza

8.

Compute diversity measures (see QIIME2 for differences in alpha, beta, and emperor plots)

qiime diversity core-metrics-phylogenetic --i-table

table.qza --i-phylogeny rooted-tree.qza --p-sampling-depth 29761

--m-metadata-file /Users/isabellalivingston/Desktop/16S Sequence

Data/GSL_metadata.txt --o-rarefied-table rare_featuretable --o-faith-pd-vector

faithpd_vector --o-observed-features-vector observed_sample_features_vector

--o-shannon-vector shannon_sample_vector --o-evenness-vector

evenness_sample_vector --o-unweighted-unifrac-distance-matrix

unweighted_distance_matrix --o-weighted-unifrac-distance-matrix

weighted_distance_matrix --o-jaccard-distance-matrix jaccard_matrix

--o-bray-curtis-distance-matrix bc_matrix --o-unweighted-unifrac-pcoa-results

unweighted_pcoa --o-weighted-unifrac-pcoa-results weighted_pcoa

--o-jaccard-pcoa-results jaccard_pcoa --o-bray-curtis-pcoa-results bc_pcoa

--o-unweighted-unifrac-emperor unweighted_emperor --o-weighted-unifrac-emperor

weighted_emperor --o-jaccard-emperor jaccard_emperor --o-bray-curtis-emperor

bc_emperor

9.

Test for differences in diversity using metadata

# Alpha Diversity

qiime diversity alpha-group-significance --i-alpha-diversity faithpd_vector.qza

--m-metadata-file /path/to/metadata/txt file

--o-visualization faith-pd-group-significance.qzv

qiime diversity alpha-group-significance --i-alpha-diversity

evenness_sample_vector.qza --m-metadata-file

/Users/isabellalivingston/Desktop/16S\ Sequence\ Data/GSL_metadata.txt

--o-visualization evenness-group-significance.qzv

qiime diversity alpha-group-significance --i-alpha-diversity

shannon_sample_vector.qza --m-metadata-file

/Users/isabellalivingston/Desktop/Metadata\ for\ GSL.tsv --o-visualization

alpha_diversity

# Emperor plots

qiime emperor plot --i-pcoa unweighted_pcoa.qza

--m-metadata-file /Users/isabellalivingston/Desktop/16S\ Sequence\

Data/GSL_metadata.txt --o-visualization unweighted-unifrac-emperor-sex.qzv

qiime emperor plot --i-pcoa bc_pcoa.qza --m-metadata-file

/Users/isabellalivingston/Desktop/16S\ Sequence\ Data/GSL_metadata.txt

--p-custom-axes sex --o-visualization bc-sex-sex.qzv

# Beta diversity

qiime diversity beta-group-significance --i-distance-matrix

unweighted_distance_matrix.qza --m-metadata-file

/Users/isabellalivingston/Desktop/16S\ Sequence\ Data/GSL_metadata.txt

--m-metadata-column sex --o-visualization unweighted-unifrac-sex-significance.qzv

--p-pairwise

10.

Taxonomic Classification

wget https://data.qiime2.org/2018.2/common/gg-13-8-99-515-806-nb-classifier.qza #download classifier of choice

qiime feature-classifier classify-sklearn \

  --i-classifier /path/to/classifier.qza \

  --i-reads rep-sets.qza \

  --o-classification {TAXONOMY}.qza

qiime metadata tabulate \

--m-input-file {TAXONOMY}.qza --o-visualization {TAXONOMY_VIZ}.qzv

qiime taxa barplot \

  --i-table table.qza

\

  --i-taxonomy

{TAXONOMY}.qza \

  --m-metadata-file

/path/to/etadata/txtfile\

  --o-visualization

{TAXA-BAR-PLOTS_VIZ}.qzv

qiime tools view {TAXA-BAR-PLOTS_VIZ}.qzv

11.

Export Data

Qiime tools export \

--input-path taxtable.qza \

--output-path exported-taxa-table

# Should get a confirmation like this: Exported taxtable.qza as BIOMV210DirFmt to directory

exported-taxa-table

# convert from biom to tsv for future analysis

Biom convert -i

/path/to/biom/file -o table.tsv

--to-tsv

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