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MOB-suite: Software tools for clustering, reconstruction and typing of plasmids from draft assemblies

Introduction

Plasmids are mobile genetic elements (MGEs), which allow for rapid evolution and adaption of bacteria to new niches through horizontal transmission of novel traits to different genetic backgrounds. The MOB-suite is designed to be a modular set of tools for the typing and reconstruction of plasmid sequences from WGS assemblies.

The MOB-suite depends on a series of databases which are too large to be hosted in git-hub. They can be downloaded or updated by running mob_init or if running any of the tools for the first time, the databases will download and initialize automatically if you do not specify an alternate database location. However, they are quite large so the first run will take a long time depending on your connection and speed of your computer. Databases can be manually downloaded from here. <br> Our new automatic chromosome depletion feature in MOB-recon can be based on any collection of closed chromosome sequences.

Citations

Below are the manuscripts describing the algorithmic approaches used in the MOB-suite.

  1. Robertson, James, and John H E Nash. “MOB-suite: software tools for clustering, reconstruction and typing of plasmids from draft assemblies.” Microbial genomics vol. 4,8 (2018): e000206. doi:10.1099/mgen.0.000206

  2. Robertson, James et al. “Universal whole-sequence-based plasmid typing and its utility to prediction of host range and epidemiological surveillance.” Microbial genomics vol. 6,10 (2020): mgen000435. doi:10.1099/mgen.0.000435

MOB-init

On first run of MOB-typer or MOB-recon, MOB-init (invoked by mob_init command) should run to download the databases from figshare, sketch the databases and setup the blast databases. However, it can be run manually if the databases need to be re-initialized OR if you want to initialize the databases in an alternative directory.

MOB-cluster

This tool creates plasmid similarity groups using fast genomic distance estimation using Mash. Plasmids are grouped into clusters using complete-linkage clustering and the cluster code accessions provided by the tool provide an approximation of operational taxonomic units OTU’s. The plasmid nomenclature is designed to group highly similar plasmids together which are unlikely to have multiple representatives within a single cell and have a strong concordance with replicon and relaxase typing but is universally applicable since it uses the complete sequence of the plasmid itself rather than specific biomarkers.

MOB-recon

This tool reconstructs individual plasmid sequences from draft genome assemblies using the clustered plasmid reference databases provided by MOB-cluster. It will also automatically provide the full typing information provided by MOB-typer. It optionally can use a chromosome depletion strategy based on closed genomes or user supplied filter of sequences to ignore.

MOB-typer

Provides in silico predictions of the replicon family, relaxase type, mate-pair formation type and predicted transferability of the plasmid. Using a combination of biomarkers and MOB-cluster codes, it will also provide an observed host-range of your plasmid based on its replicon, relaxase and cluster assignment. This is combined with information mined from the literature to provide a prediction of the taxonomic rank at which the plasmid is likely to be stably maintained but it does not provide source attribution predictions.

Installation

Requires

Dependencies

Installation

We recommend MOB-Suite installation as a conda package due to large number of dependencies. The package is available through bioconda channel.

% conda config --add channels defaults
% conda config --add channels conda-forge
% conda config --add channels bioconda
% conda install -c bioconda mob_suite

Pip

We recommend installing MOB-Suite via bioconda but you can install it via pip using the command below

% pip3 install mob_suite

Source

To build from source code directly on Ubuntu Linux distro, follow these commands that include Python libraries and other dependencies install

apt update && apt install python3-pip #installs gcc compiler for pycurl
apt install libcurl4-openssl-dev libssl-dev #for pycurl
pip3 install Cython
apt install mash ncbi-blast+
python3 setup.py install && mob_init #to install and init databases

Docker image

A docker images are also available at https://hub.docker.com/r/kbessonov/mob_suite and at https://quay.io/repository/biocontainers/mob_suite

% latest_tag=$(curl -H "Authorization: Bearer X" -X GET "https://quay.io/api/v1/repository/biocontainers/mob_suite/tag/" | jq .tags[].name | head -1 | sed -e 's|\"||g')
% docker pull quay.io/biocontainers/mob_suite:${latest_tag} 
% docker run --rm -v $(pwd):/mnt/ "kbessonov/mob_suite:${latest_tag}" mob_recon -i /mnt/assembly.fasta -t -o /mnt/mob_recon_output

Singularity image

A singularity image could be built locally via Singularity recipe donated by Eric Deveaud or pulled from one of the repositories.

The recipe (recipe.singularity) is located in the singularity folder of this repository and installs MOB-Suite via conda.

% singularity build mobsuite.simg recipe.singularity

As the simplest alternative, Singularity image can be pulled from BioContainers repository where <version> is the desired version (e.g. 3.0.3--py_0) or Quay.io or Docker Hub repositories.

The MOB-Suite image (mob_suite.sif) will be generated using one of the following 3 methods.Next MOB-Suite tools could be run a on mounted directory via --bind like so singularity run mob_suite.sif --bind $PWD:/mnt mob_recon -i /mnt/<input_fasta> -o /mnt/<output_directory>

# Method 1
% singularity pull mob_suite.sif https://depot.galaxyproject.org/singularity/mob_suite:<version>
# Method 2
% singularity pull mob_suite.sif docker://kbessonov/mob_suite:3.0.3 #or for the latest version
# Method 3 - recommended
% latest_version=$(curl -H "Authorization: Bearer X" -X GET "https://quay.io/api/v1/repository/biocontainers/mob_suite/tag/" | jq .tags[].name | head -1 | sed -e 's|\"||g')
% singularity pull mob_suite.sif docker://quay.io/biocontainers/mob_suite:${latest_version}

Using MOB-typer to perform replicon and relaxase typing of complete plasmids and to predict mobility and replicative plasmid host-range

Setuptools

Clone this repository and install via setuptools.

% git clone https://github.com/phac-nml/mob-suite.git
% cd mob-suite
% python setup.py install

MGE detection

As of v. 3.1.0, MOB-recon and MOB-typer can report the blast HSP of the repetive mask file for IS/TN and other MGE elements in a new report file called mge.report.txt which will report blast hits from both chromosome and plasmid contigs. The MGE report is generated by default in MOB-recon and can be toggled on in MOB-typer by using the '--mge_report_file' parameter and specifying an output file. This is a very naieve implementation of detecting MGE's and further work will improve the utility for users based on feedback.

Using MOB-typer to perform replicon and relaxase typing of complete plasmids and predict mobility

You can perform plasmid typing using a fasta formated file containing a single plasmid represented by one or more contigs or it can treat all of the sequences in the fasta file as independent. The default behaviour is to treat all sequences in a file as from one plasmid, so do not include multiple unrelated plasmids in the file without specifying --multi as they will be treated as a single plasmid.

# Single plasmid
% mob_typer --infile assembly.fasta --out_file sample_mobtyper_results.txt

# Multiple independant plasmids
% mob_typer --multi --infile assembly.fasta --out_file sample_mobtyper_results.txt

Using MOB-recon to reconstruct plasmids from draft assemblies

This procedure works with draft or complete genomes and is agnostic of assembler choice but if unicycler is used, then the circularity information can be parsed directly from the header of the unmodified assembly using -u . MOB-typing information is automatically generated for all plasmids reconstructed by MOB-recon.

### Basic Mode
% mob_recon --infile assembly.fasta --outdir my_out_dir

As of v. 3.0.0, we have added the ability of users to provide their own specific set of sequences to remove from plasmid reconstruction. This should be performed with caution and with the knowledge of your organism. Filtering of sequences which are frequently of plasmid origin but are not in your organism is the primary use case we envision for this feature.

### User sequence mask
% mob_recon --infile assembly.fasta --outdir my_out_dir --filter_db filter.fasta

As of v. 3.0.0, we have provided the ability to use a collection of closed genomes which will be quickly checked using Mash for genomes which are genetically close and limit blast searches to those chromosomes. This more nuanced and automatic approach is recommended for users where there are sequences which should be filtered in one genomic context but not another. We provide as an optional download a set of closed Enterobacteriacea genomes from NCBI which can be used to provide added accuracy for some organisms such as E. coli and Klebsiella where there are sequences which switch between chromosome and plasmids. <br><br> If reconstructed plasmids exceed the Mash distance for primary cluster assignment, then they will be assigned a name in the format novel_{md5} where the md5 hash is calculated based on all of the sequences belonging to that reconstructed plasmid. This will provide a unique name for the plasmids but any change will result in a corresponding change in the md5 hash. It is therefore not advised to use these assigned names for further analyses. Rather they should be highlighted as cases where targeted long read sequencing is required to obtain a closer database representative of that plasmid.

### Autodetected close genome filter
% mob_recon --infile assembly.fasta --outdir my_out_dir -g 2019-11-NCBI-Enterobacteriacea-Chromosomes.fasta

Using MOB-cluster

Use this tool only to update the plasmid databases or build a new one, however MOB-cluster should only be run with closed high quality plasmids. If you add in poor quality data it can severely impact MOB-recon. As of v3.0.0, MOB-cluster has been re-written to utilize the output from MOB-typer to greatly speed up the process of updating and building plasmid databases by using pre-computed results. Clusters generated from earlier versions of MOB-suite are not compatible with the new clusters. We have provided a mapping file of previous cluster assignments and their new cluster accessions. Each cluster code is unique and will not be re-used.

### Build a new database
% mob_cluster --mode build -f new_plasmids.fasta -p new_plasmids_mobtyper_report.txt -t new_plasmids_host_taxonomy.txt --outdir output_directory
### Add a sequence to an existing database
% mob_cluster --mode update -f new_plasmids.fasta -p new_plasmids_mobtyper_report.txt -t new_plasmids_host_taxonomy.txt --outdir output_directory -c existing_clusters.txt -r existing_sequences.fasta
### Update MOB-suite plasmid databases
% cp output_directory/clusters.txt
% mv output_directory/updated.fasta mob_db_path/ncbi_plasmid_full_seqs.fas
% makeblastdb -in mob_db_path/ncbi_plasmid_full_seqs.fas -dbtype nucl
% mash sketch -i mob_db_path/ncbi_plasmid_full_seqs.fas 

Output files

fileDescription
contig_report.txtThis file describes the assignment of the contig to chromosome or a particular plasmid grouping
mge.report.txtBlast HSP of detected MGE's/repetitive elements with contextual information
chromosome.fastaFasta file of all contigs found to belong to the chromosome
plasmid_(X).fastaEach plasmid group is written to an individual fasta file which contains the assigned contigs
mobtyper_resultsAggregate MOB-typer report files for all identified plasmid

MOB-recon contig report format

fieldDescription
sample_idSample ID specified by user or default to filename
molecule_typePlasmid or Chromosome
primary_cluster_idprimary MOB-cluster id of neighbor
secondary_cluster_idsecondary MOB-cluster id of neighbor
sizeLength in base pairs
gcGC %
md5md5 hash
circularity_statusMolecule is either circular, incomplete or not tested based on parameters used
rep_type(s)Replion type(s)
rep_type_accession(s)Replicon sequence accession(s)
relaxase_type(s)Relaxase type(s)
relaxase_type_accession(s)Relaxase sequence accession(s)
mpf_typeMate-Pair formation type
mpf_type_accession(s)Mate-Pair formation sequence accession(s)
orit_type(s)Origin of transfer type
orit_accession(s)Origin of transfer sequence accession(s)
predicted_mobilityMobility prediction for the plasmid (Conjugative, Mobilizable, Non-mobilizable)
mash_nearest_neighborAccession of closest plasmid database match
mash_neighbor_distanceMash distance from query to match
mash_neighbor_identificationHost taxonomy of the plasmid database match
repetitive_dna_idRepetitive DNA match id
repetitive_dna_typeRepetitive element class

MOB-typer report file format

fieldDescription
sample_idSample ID specified by user or default to filename
num_contigsNumber of sequences belonging to plasmid
sizeLength in base pairs
gcGC %
md5md5 hash
rep_type(s)Replicon type(s)
rep_type_accession(s)Replicon sequence accession(s)
relaxase_type(s)Relaxase type(s)
relaxase_type_accession(s)Relaxase sequence accession(s)
mpf_typeMate-Pair formation type
mpf_type_accession(s)Mate-Pair formation sequence accession(s)
orit_type(s)Origin of transfer type
orit_accession(s)Origin of transfer sequence accession(s)
predicted_mobilityMobility prediction for the plasmid (Conjugative, Mobilizable, Non-mobilizable)
mash_nearest_neighborAccession of closest plasmid database match
mash_neighbor_distanceMash distance from query to match
mash_neighbor_identificationHost taxonomy of the plasmid database match
primary_cluster_idprimary MOB-cluster id of neighbor
secondary_cluster_idsecondary MOB-cluster id of neighbor
predicted_host_range_overall_rankTaxon rank of convergence between observed and reported host ranges
predicted_host_range_overall_nameTaxon name of convergence between observed and reported host ranges
observed_host_range_ncbi_rankTaxon rank of convergence of plasmids in MOB-suite plasmid DB
observed_host_range_ncbi_nameTaxon name of convergence of plasmids in MOB-suite plasmid DB
reported_host_range_lit_rankTaxon rank of convergence of literature reported host ranges
reported_host_range_lit_nameTaxon name of convergence of literature reported host ranges
associated_pmid(s)PubMed ID(s) associated with records

MOB-cluster sequence cluster information file

fieldDescription
sample_idSample ID specified by user or default to filename
sizeLength in base pairs
gcGC %
md5md5 hash
organismHost taxon name
taxidHost NCBI taxon id
rep_type(s)Replion type(s)
rep_type_accession(s)Replicon sequence accession(s)
relaxase_type(s)Relaxase type(s)
relaxase_type_accession(s)Relaxase sequence accession(s)
mpf_typeMate-Pair formation type
mpf_type_accession(s)Mate-Pair formation sequence accession(s)
orit_type(s)Origin of transfer type
orit_accession(s)Origin of transfer sequence accession(s)
predicted_mobilityMobility prediction for the plasmid (Conjugative, Mobilizable, Non-mobilizable)
primary_cluster_idprimary MOB-cluster id of plasmid
primary_distprimary MOB-cluster distance cutoff to generate cluster
secondary_cluster_idsecondary MOB-cluster id of plasmid
secondary_distsecondary MOB-cluster distance cutoff to generate cluster

MGE Report

fieldDescription
sample_idSample ID specified by user or default to filename
molecule_typePlasmid or Chromosome
primary_cluster_idprimary MOB-cluster id of neighbor
secondary_cluster_idsecondary MOB-cluster id of neighbor
contig_idSequence Identifier
sizeLength in base pairs
gcGC %
md5md5 hash
mge_idUnique numeric id
mge_acsGenBank Accession of MGE
mge_typePrimary type of the MGE
mge_subtypeSubtype of the MGE
mge_lengthLength of the MGE query
mge_startHSP start of MGE query
mge_endHSP end of MGE query
contig_startHSP start on contig
contig_endHSP end on contig
lengthLength of HSP
sstrandStand of HSP
qcovhspQuery coverage of HSP
pidentSequence identity of HSP
evalueSequence evalue of HSP
bitscoreSequence bitscore of HSP

blast report file format

field namedescription
qseqidquery sequence id
sseqidsubject sequence id
qlenquery length
slensubject length
qstartmatch start query
qendmatch end query
sstartmatch subject start
sendmatch subject end
lengthlength of alignment
mismatchnumber of mismatches
pidentidentity
qcovhspquery coverage by hsp
qcovsquery coverage by subject
sstrandstrad of hit in subject
evalueevalue of match
bitscorebitscore of match

Contact

James Robertson - james.robertson@canada.ca <br> Kyrylo Bessonov - kyrylo.bessonov@canada.ca

License

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this work except in compliance with the License. You may obtain a copy of the License at:

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.