abricate
Tags: bacteria antimicrobial-resistance virulence screening bactopia-tool
Mass screening of contigs for antimicrobial resistance and virulence genes.
This Bactopia Tool uses Abricate to screen assemblies against multiple resistance and virulence gene databases, including NCBI, CARD, RESFINDER, ARG-ANNOT, VFDB, PLASMIDFINDER, ECOLI_VF, and MEGARES. It processes a Bactopia analysis directory, runs Abricate on each sample, and creates a merged summary report.
Usage
Run with the CARD database for antimicrobial resistance gene detection:
Bactopia CLI:
bactopia --wf abricate \
--bactopia /path/to/your/bactopia/results \
--abricate_db card
Nextflow:
nextflow run bactopia/bactopia/workflows/bactopia-tools/abricate/main.nf \
--bactopia /path/to/your/bactopia/results \
--abricate_db card
You can run this workflow multiple times with different databases to screen against all of them. Each run will produce separate results that can be compared.
Outputs
Expected Output Files
<BACTOPIA_DIR>
├── <SAMPLE_NAME>
│ └── tools
│ └── abricate
│ └── ncbi
│ ├── <SAMPLE_NAME>.tsv
│ └── logs
│ ├── nf.command.{begin,err,log,out,run,sh,trace}
│ └── versions.yml
└── bactopia-runs
└── abricate-ncbi-<TIMESTAMP>
├── merged-results
│ ├── abricate-ncbi.tsv
│ └── logs
│ └── abricate-concat
│ └── ncbi
│ ├── nf.command.{begin,err,log,out,run,sh,trace}
│ └── versions.yml
└── nf-reports
├── abricate-dag.dot
├── abricate-report.html
└── abricate-timeline.html
Per-Sample Results
| File | Description |
|---|---|
*.tsv | Tab-delimited report of Abricate screening results for each sample |
Merged Results
| File | Description |
|---|---|
abricate.tsv | Merged TSV report containing Abricate results from all samples |
Audit Trail
Below are files that can assist you in understanding which parameters and program versions were used.
Logs
Each process that is executed will have a folder named logs. In this folder are helpful
files for you to review if the need ever arises.
| Extension | Description |
|---|---|
| .begin | An empty file used to designate the process started |
| .err | Contains STDERR outputs from the process |
| .log | Contains both STDERR and STDOUT outputs from the process |
| .out | Contains STDOUT outputs from the process |
| .run | The script Nextflow uses to stage/unstage files and queue processes based on given profile |
| .sh | The script executed by bash for the process |
| .trace | The Nextflow trace report for the process |
| versions.yml | A YAML formatted file with program versions |
Nextflow Reports
These Nextflow reports provide great a great summary of your run. These can be used to optimize resource usage and estimate expected costs if using cloud platforms.
| Filename | Description |
|---|---|
| abricate-dag.dot | The Nextflow DAG visualization |
| abricate-report.html | The Nextflow Execution Report |
| abricate-timeline.html | The Nextflow Timeline Report |
| abricate-trace.txt | The Nextflow Trace report |
Parameters
Required Parameters
Define where the pipeline should find input data and save output data.
| Parameter | Type | Default | Description |
|---|---|---|---|
--bactopia | string | The path to bactopia results to use as inputs |
Abricate Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
--abricate_db | string | ncbi | Database to use |
--abricate_minid | integer | 80 | Minimum DNA percent identity |
--abricate_mincov | integer | 80 | Minimum DNA percent coverage |
Filtering Parameters
Use these parameters to specify which samples to include or exclude.
| Parameter | Type | Default | Description |
|---|---|---|---|
--include | string | A text file containing sample names (one per line) to include from the analysis | |
--exclude | string | A text file containing sample names (one per line) to exclude from the analysis |
Optional Parameters
These optional parameters can be useful in certain settings.
| Parameter | Type | Default | Description |
|---|---|---|---|
--outdir | string | bactopia | Base directory to write results to |
Nextflow Profile Parameters
Parameters to fine-tune your Nextflow setup.
| Parameter | Type | Default | Description |
|---|---|---|---|
--datasets_cache | string | <HOME>/.bactopia/datasets | Directory where downloaded datasets should be stored. |
Helpful Parameters
Uncommonly used parameters that might be useful.
| Parameter | Type | Default | Description |
|---|---|---|---|
--wf | string | bactopia | Specify which workflow or Bactopia Tool to execute |
--list_wfs | boolean | List the available workflows and Bactopia Tools to use with '--wf' | |
--help_all | boolean | An alias for --help --show_hidden_params | |
--version | boolean | Display version text. |
Composition
This workflow uses the following subworkflows:
- abricate - Mass screening of contigs for antimicrobial and virulence genes.
Citations
If you use this in your analysis, please cite the following.
-
Bactopia
Petit III RA, Read TD Bactopia - a flexible pipeline for complete analysis of bacterial genomes. mSystems 5 (2020) -
Abricate
Seemann T Abricate: mass screening of contigs for antimicrobial and virulence genes (GitHub) -
ARG-ANNOT
Gupta SK, Padmanabhan BR, Diene SM, Lopez-Rojas R, Kempf M, Landraud L, Rolain J-M ARG-ANNOT, a new bioinformatic tool to discover antibiotic resistance genes in bacterial genomes. Antimicrob. Agents Chemother 58, 212-220 (2014) -
CARD
Alcock BP, Raphenya AR, Lau TTY, Tsang KK, Bouchard M, Edalatmand A, Huynh W, Nguyen A-L V, Cheng AA, Liu S, Min SY, Miroshnichenko A, Tran H-K, Werfalli RE, Nasir JA, Oloni M, Speicher DJ, Florescu A, Singh B, Faltyn M, Hernandez-Koutoucheva A, Sharma AN, Bordeleau E, Pawlowski AC, Zubyk HL, Dooley D, Griffiths E, Maguire F, Winsor GL, Beiko RG, Brinkman FSL, Hsiao WWL, Domselaar GV, McArthur AG CARD 2020: antibiotic resistome surveillance with the comprehensive antibiotic resistance database. Nucleic acids research 48.D1, D517-D525 (2020) -
csvtk
Shen, W csvtk: A cross-platform, efficient and practical CSV/TSV toolkit in Golang. (GitHub) -
EcOH
Ingle DJ, Valcanis M, Kuzevski A, Tauschek M, Inouye M, Stinear T, Levine MM, Robins-Browne RM, Holt KE In silico serotyping of E. coli from short read data identifies limited novel O-loci but extensive diversity of O:H serotype combinations within and between pathogenic lineages. Microbial Genomics, 2(7), e000064. (2016) -
MEGARes 2.0
Doster E, Lakin SM, Dean CJ, Wolfe C, Young JG, Boucher C, Belk KE, Noyes NR, Morley PS MEGARes 2.0: a database for classification of antimicrobial drug, biocide and metal resistance determinants in metagenomic sequence data. Nucleic Acids Research, 48(D1), D561-D569. (2020) -
NCBI Reference Gene Catalog
Feldgarden M, Brover V, Haft DH, Prasad AB, Slotta DJ, Tolstoy I, Tyson GH, Zhao S, Hsu C-H, McDermott PF, Tadesse DA, Morales C, Simmons M, Tillman G, Wasilenko J, Folster JP, Klimke W Validating the NCBI AMRFinder Tool and Resistance Gene Database Using Antimicrobial Resistance Genotype-Phenotype Correlations in a Collection of NARMS Isolates. Antimicrob. Agents Chemother. (2019) -
PlasmidFinder
Carattoli A, Zankari E, García-Fernández A, Voldby Larsen M, Lund O, Villa L, Møller Aarestrup F, Hasman H In silico detection and typing of plasmids using PlasmidFinder and plasmid multilocus sequence typing. Antimicrobial Agents and Chemotherapy 58(7), 3895-3903. (2014) -
ResFinder
Zankari E, Hasman H, Cosentino S, Vestergaard M, Rasmussen S, Lund O, Aarestrup FM, Larsen MV Identification of acquired antimicrobial resistance genes. J. Antimicrob. Chemother. 67, 2640-2644 (2012) -
VFDB
Chen L, Zheng D, Liu B, Yang J, Jin Q VFDB 2016: hierarchical and refined dataset for big data analysis--10 years on. Nucleic Acids Res. 44, D694-7 (2016)