megapharokka

A fork of Pharokka to handle enVhogs

Table of Contents

• megapharokka
• Table of Contents
• Outline
• Benchmarking
• Installing megapharokka
• Running megapharokka
• Database

Outline

• Megapharokka will Run MMSeqs2 (default of --mmseqs2), PyHMMER (--pyhmmer) or HHsuite (--hhsuite) against appropriately formatted ENVHOG databases.
• Documentation in Database.
• I would recommend only using --mmseqs2. --hhsuite takes too long for large datasets.
• Need to do some testing for optimal --sensitivity.
• Gene predictor defaults to -g pyrodigal-gv.
• Massive datasets recommended to be run with --skip_mash.

Benchmarking

• All benchmarking was conducted on a Intel® Core™ i7-10700K CPU @ 3.80GHz on a machine running Ubuntu 20.04.6 LTS with -t 8 threads.
• The 673 crAss-like contig dataset from Yutin et al was used as a test set. Yutin, N., Benler, S., Shmakov, S.A. et al. Analysis of metagenome-assembled viral genomes from the human gut reveals diverse putative CrAss-like phages with unique genomic features. Nat Commun 12, 1044 (2021) https://doi.org/10.1038/s41467-021-21350-w.
• -g prodigal-gv was used as gene predictor for all options.
• megapharokka = 2.2M ENVHOGs consensus sequences.
• pharokka = 38880 PHROGs.
• By default, pharokka uses MMSeqs2 sensitivity of 8.5.
• --hhsuite on a small subset took >20 hours, so rule that out as a viable option for metagenomes.

Overall, it is clear that megapharokka with --mmseqs2 oon ENVHOGs is more sensitive than regular -pharokka on PHROGs even with --fast (pyhmmer).

673 crAss-like genomes from Yutin et al., 2021	megapharokka --mmseqs2 --sensitivity 4	megapharokka --mmseqs2 --sensitivity 3	megapharokka --mmseqs2 --sensitivity 2	pharokka v1.5.0 mmseqs2	pharokka v1.5.0 --fast (pyhmmer)
Time (min)	25.21	16.73	8.23	17.43	61.73
CDS	74980	74980	74980	74980	74980
Annotated Function CDS	17724	17540	17267	10131	16357
Unknown Function CDS	57256	57440	57713	64849	58623

Installing megapharokka

1. Clone

git clone https://github.com/gbouras13/megapharokka
cd megapharokka

2. Create conda env with external dependencies installed

mamba env  create -f environment.yml 
conda activate megapharokka_env

3. Install megapharokka and most python dependecies with pip

• Note: The inimitable Martin Larralde @althonos, the creator and maintainer of these tools at EMBL Heidelberg just made production releases: pyrodigal v3 is required to be compatible with pyrodigal-gv v0.1.0

pip install .

Running megapharokka

• Megapharokka will Run MMSeqs2 (default of --mmseqs2) or PyHMMER (--pyhmmer) or HHsuite (--hhsuite) against appropriately formatted ENVHOG databases.
• --skip_extra_annotations will skip tRNAscan-SE, MINced and Aragorn
• --skip_mash will skip Mash sketch against INPHARED.
• Run -m meta mode (now irrelevant as we are not splitting files but indicate anyway).
• -s creates split directories for your contig fastas, gffs and gbks.
• You can also use --dnaapler to reorient contigs to begin with the large terminase subunit. Wouldn't recommend unless you know the contigs are complete.

threads=8
# mmseqs2
megapharokka.py -i input.fasta -o output_dir -t $threads  -d envhogs_db -g 'prodigal-gv' --mmseqs2 -m -s -f  --skip_extra_annotations
# pyhmmer
megapharokka.py -i input.fasta -o output_dir -t $threads  -d envhogs_db -g 'prodigal-gv' --pyhmmer -m -s -f  --skip_extra_annotations
# hhsuite
megapharokka.py -i input.fasta -o output_dir -t $threads  -d envhogs_db -g 'prodigal-gv' --hhsuite -m -s -f  --skip_extra_annotations

Database

Database directory requires the usual VFDB, CARD and INPHARED files from Pharokka v1.4.0.

You can install this with

install_databases.py -d megapharokka_db

It requires ENVHOG database annotation and MMSeqs2 database:

• envhogs_annot_140923.tsv for annotation.
• EnVhog_consensus MMSeqs2 database with --mmseqs2

It optionally takens the ENVHOG database files:

• enVhogs.h3m with --pyhmmer
• EnVhog_hmm.ffdata, EnVhog_hmm.ffindex, EnVhog_a3m.ffdata, EnVhog_a3m.ffindex, EnVhog_cs219.ffdata, EnVhog_cs219.ffindex, hhsuite database with --hhsuite

usage: megapharokka.py [-h] [-i INFILE] [-o OUTDIR] [-d DATABASE] [-t THREADS] [-f] [-p PREFIX] [-l LOCUSTAG] [-g GENE_PREDICTOR] [-m] [-s] [-c CODING_TABLE] [-e EVALUE] [--dnaapler] [--hhsuite]
                       [--mmseqs2] [--pyhmmer] [--skip_extra_annotations] [-V] [--citation]

megapharokka: fast phage annotation program with enVhogs

options:
  -h, --help            show this help message and exit
  -i INFILE, --infile INFILE
                        Input genome file in fasta format.
  -o OUTDIR, --outdir OUTDIR
                        Directory to write the output to.
  -d DATABASE, --database DATABASE
                        Database directory. If the databases have been installed in the default directory, this is not required. Otherwise specify the path.
  -t THREADS, --threads THREADS
                        Number of threads. Defaults to 1.
  -f, --force           Overwrites the output directory.
  -p PREFIX, --prefix PREFIX
                        Prefix for output files. This is not required.
  -l LOCUSTAG, --locustag LOCUSTAG
                        User specified locus tag for the gff/gbk files. This is not required. A random locus tag will be generated instead.
  -g GENE_PREDICTOR, --gene_predictor GENE_PREDICTOR
                        User specified gene predictor. Use "-g phanotate" or "-g prodigal" or "-g prodigal-gv". 
                        Defaults to phanotate (not required unless prodigal is desired).
  -m, --meta            meta mode for metavirome input samples
  -s, --split           split mode for metavirome samples. -m must also be specified. 
                        Will output separate split FASTA, gff and genbank files for each input contig.
  -c CODING_TABLE, --coding_table CODING_TABLE
                        translation table for prodigal. Defaults to 11. Experimental only.
  -e EVALUE, --evalue EVALUE
                        E-value threshold for MMseqs2 database PHROGs, VFDB and CARD and PyHMMER PHROGs database search. Defaults to 1E-05.
  --dnaapler            Runs dnaapler to automatically re-orient all contigs to begin with terminase large subunit if found. 
                        Recommended over using '--terminase'.
  --hhsuite             Runs hhsuite on EnVhogs.
  --mmseqs2             Runs MMSeqs2 on EnVhogs.
  --pyhmmer             Runs pyhmmer on EnVhogs.
  --skip_extra_annotations
                        Skips tRNAscan-se, MINced and Aragorn.
  -V, --version         Print pharokka Version
  --citation            Print pharokka Citation