Daisy

Horizontal Gene Transfer Detection by Mapping Sequencing Reads

Daisy is a pipeline for horizontal gene transfer (HGT) detection from sequencing data. It requires sequencing data from the HGT organism and reference sequences from the acceptor/recepient genome and the donor genome.

Daisy is a pipeline written in Python that uses Samtools and Bamtools for SAM file processing and extraction of unmapped reads, the C++ SeqAn tools Yara and Gustaf for mapping, and contains a Python based evaluation routine.

Contact: kathrin.trappe@fu-berlin.de

Installing Daisy

A refactored and newer version of Daisy is available under https://gitlab.com/rki_bioinformatics/ in the DaisySuite project. DaisySuite includes Daisy and a novel tool, called DaisyGPS, that tackles the problem of finding suitable acceptor and donor references for Daisy.

Daisy needs to have Python installed. For versions < 3.2, please install the package subprocess32 additionally. The easiest way to get Daisy is to download daisy.py and the script hgt_eval.py and place both scripts in your ~/bin/ directory. Daisy depends on the following established open-source tools which have to be installed either in your ~/bin/ as well or be globally avaible for all users on your server.

Samtools, Bedtools

Daisy requires the old 0.1.19 samtools release (due to parameter changes in more recent smatools versions). To install Samtools and Bedtools, please follow the installation guides given on http://samtools.sourceforge.net/ and http://bedtools.readthedocs.org/en/latest/

Yara, Stellar, Gustaf, SAK

All tools are distributed with SeqAn - The C++ Sequence Analysis Library (see http://www.seqan.de). Please check out the latest developer version of SeqAn on: http://github.com/seqan/seqan/tree/develop/ Follow the installation guides given on https://github.com/seqan/seqan

Precompiled binaries (Linux 64-bit, Windows, Mac OS X) of Yara, Stellar, Gustaf, and SAK can be downloaded via the SeqAn project pages: http://www.seqan.de/projects/

Phage database

As an additional step, Daisy maps the reads against a phage database, and flags HGT candidates having relevant hits. We recommend using the phage database available from http://www.ebi.ac.uk/genomes/phage.html

Using Daisy

Example

Download the folder "data/example" and make sure you have all tools ready. The example run is a subsample from the simulated data set below. The reads stem only from the inserted phage sequence plus 2000bp surrounding sequence. The run takes only a few minutes. Within the example folder, you can run it via

python ~/bin/daisy.py -r1 Ecoli_K12_mod_HPylori_1322000-1350000_mod_1115289-1147285.1.fa
                      -r2 Ecoli_K12_mod_HPylori_1322000-1350000_mod_1115289-1147285.2.fa
                      -ar ../Ecoli_K12.fa -dr ../Helicobacter_pylori_ML1.fasta
                      -a "gi|170079663|ref|NC_010473.1|" -d "gi|766541424|dbj|AP014710.1|"

If you have downloaded the phage database, add its path to the program call using the --phage_ref option (e.g. --phage_ref phage_all.fasta). The produced result files should be equivalent to the corresponding gold files provided in the folder, but exact breakpoint positions might vary due to input parallelization. To enforce exactly same results, use option -nth 1 (one thread).

H. pylori data set

The H. pylori data set is the complete simulated data set evaluated in the paper. From within the HPylori folder, you can re-run it via

python ~/bin/daisy.py -r1 Ecoli_K12_mod_HPylori_1322000-1350000_mod.1.fasta
                      -r2 Ecoli_K12_mod_HPylori_1322000-1350000_mod.2.fasta
                      -ar ../Ecoli_K12.fa -dr ../Helicobacter_pylori_ML1.fasta
                      -a "gi|170079663|ref|NC_010473.1|" -d "gi|766541424|dbj|AP014710.1|"
                      -new

Daisy checks for the presence of already computed files. So if you omit the -new parameter, Daisy will recognize the existing files and run through without changing results. Use the -task parameter to assign job names. You can also specify each pipeline step to be run or not run separately (see help message).

Multiple donor candidates

If you want to test multiple donor candidates at once, use the -d2 parameter with a textfile containing the desired donor gis. The program expects one gi per line. The donor reference file then has to contain all donor references (multifasta). Alternatively, you can provide a second donor reference file with parameter -dr2.

python ~/bin/daisy.py [...] -dr multifasta.fasta -d2 donor_candidates.txt

Output Formats

Daisy currently supports the VCF output format for reporting HGT candidates meeting the pre-defined threshold. Additionally, all HGT candidates together with their sampling results are written to a TSV file.

Variant Call Format (VCF)

The output is according to VCF 4.2. We report the single HGT boundaries as inter-chromosomal translocations as SV type, connect the boundary pairs via identical IDs and introduce the event tag 'HGT'.

See http://www.1000genomes.org/wiki/analysis/variant%20call%20format/vcf-variant-call-format-version-41 for information about the VCF file format specifications.

Reference

Trappe K., Marschall T., Renard B.Y. (2016). Detecting horizontal gene transfer by mapping sequencing reads across species boundaries. Bioinformatics 32(17):i595-i604