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ChroQueTas

Quick Facts

Workflow Type Applicable Kingdom Last Known Changes Command-line Compatibility Workflow Level Dockstore
Standalone Mycotics vX.X.X Yes Sample-level ChroQueTas_PHB

ChroQueTas_PHB

The ChroQueTas workflow is a standalone version of the FungAMR-integrated antimicrobial resistance screening tool. Please see the "workflow tasks" section for a more detailed explanation.

Inputs

Terra Task Name Variable Type Description Default Value Terra Status
chroquetas_workflow assembly_fasta File The assembly file for your sample in FASTA format Required
chroquetas_workflow samplename String The name of the sample being analyzed Required
chroquetas_workflow species String Binomial species name formatted as "Genus species" Required
chroquetas cpu Int Number of CPUs to allocate to the task 2 Optional
chroquetas disk_size Int Amount of storage (in GB) to allocate to the task 16 Optional
chroquetas docker String The Docker container to use for the task us-docker.pkg.dev/general-theiagen/theiagen/chroquetas:1.0.0 Optional
chroquetas memory Int Amount of memory/RAM (in GB) to allocate to the task 8 Optional
chroquetas min_percent_coverage Int Minimum percent coverage of FungAMR reference protein 75 Optional
chroquetas min_percent_identity Int Minimum percent identity of FungAMR reference protein 90 Optional
chroquetas proteome_fasta File Protein fasta to use for alignments Optional
chroquetas translation_code String Alternative codon translation code. This is set for each species by default and not recommended to change. Optional
version_capture docker String The Docker container to use for the task us-docker.pkg.dev/general-theiagen/theiagen/alpine-plus-bash:3.20.0 Optional
version_capture timezone String Set the time zone to get an accurate date of analysis (uses UTC by default) Optional

Workflow Tasks

ChroQueTas: Antimicrobial Resistance Profiling

This task performs in silico antimicrobial resistance (AMR) mutation detection using ChroQueTas in conjunction with the FungAMR database.

ChroQueTas extracts the putative expressed protein where point mutations are known to cause AMR, discards poorly aligned sequences via sequence similarity to known AMR genes via BLASTp, attempts to account for intron splicing and structural variation, and finally uses MAFFT to align and evaluate amino acid changes that may correspond to resistance relative to FungAMR genes.

ChroQueTas is automatically called if a compatible GAMBIT-predicted taxon or provided expected_taxon is identified. Currently, 58 different species are supported.

Outputs:

  • AMR Stats: Depicts the number of FungAMR and non-FungAMR mutations on a gene-by-gene (protein sequence) basis.
  • AMR Summary: Depicts the mutation resistance and support for potential drug resistance on a gene-by-gene (protein sequence) basis.
  • Fungicide Resistance String: Depicts detected AMR mutations AND the affected fungicides as a comma-delimited string in the following format: "<PROTEIN>_<REFERENCE_AA><POSITION><MUTATION_AA>[<FUNGICIDE1><CONFIDENCE_SCORE>;...],..."
Supported Species and Genes

The following table shows the species name and screened genes as of ChroQueTas v1.0.0. Species will be automatically determined based on the GAMBIT predicted taxon or provided expected_taxon name.

Species Antimicrobial Resistance Genes
Arthroderma vanbreuseghemii Squalene epoxidase
Aspergillus awamori Cyp51
Aspergillus fumigatus Beta-tubulin, Cytochrome b, Fks, HapE, Hmg1, Hmg2, Sdh
Aspergillus niger Cyp51
Aspergillus terreus Cyp51
Aspergillus tubingensis Cyp51
Beauveria bassiana Beta-tubulin
Blumeria graminis Cyp51
Blumeria graminis hordei Cyp51
Blumeria graminis tritici Cytochrome b
Botrytis cinerea Beta-tubulin, Bos1, Cytochrome b, OS1
Candida albicans Cap1, Cdr1, Cyp51, Erg3, Fur1, Mrr1, Mrr2, Rta2, Squalene epoxidase, Tac1, Upc2
Candida dubliniensis Cyp51, Erg3, Fcy1, Fks
Candida metapsilosis Fks
Candida orthopsilosis Cyp51, Fks
Candida parapsilosis Cyp51, Erg3, Fks, Mrr1
Candida tropicalis Ben1, Cyp51, Erg3, Fks
Candidozyma auris Cyp51, Erg10, Erg12, Erg3, Erg6, Fks, Fur1, Hmg1, Ncp1, Tac1
Cercospora beticola Beta-tubulin, Cytochrome b
Clavispora lusitaniae Fcy1, Fcy2, Fks
Colletotrichum acutatum Cyp51, Cytochrome b
Colletotrichum fructicola Beta-tubulin, Cytochrome b
Colletotrichum gloeosporioides Beta-tubulin
Colletotrichum graminicola Cytochrome b
Colletotrichum siamense Cytochrome b
Corynespora cassiicola Cytochrome b
Cryptococcus deuterogattii Uxs1
Cryptococcus neoformans Bck1, CNAG 04784, CNBG 2198, Cyp51, Dpb2, Fcy1, Fcy2, Fur1, Ran1, Ura6
Erysiphe necator Sdh
Fusarium fujikuroi Cyp51
Fusarium graminearum Beta-tubulin, Myosin-1, Myosin-5
Fusarium incarnatum Myosin-5
Fusarium pseudograminearum Sdh
Histoplasma capsulatum Cyp51
Kluyveromyces marxianus Fks
Magnaporthe grisea Cytochrome b, Sdh
Monilinia fructicola Beta-tubulin
Mycosphaerella fijiensis Cyp51, Cytochrome b
Nakaseomyces glabratus Ben1, Cdc55, Cdc6, Cdr1, Cyp51, Dot6, Erg2, Erg3, Erg4, Erg6, Erg7, Erg8, Fcy1, Fen1, Fur1, Gph1, Mohi, Mrpl11, Msh2, Pdr1, Pdr15, Qdr2, Sui2, Tcb
Passalora fulva Beta-tubulin
Phaeosphaeria nodorum Cyp51
Phakopsora pachyrhizi Cyp51, Cytochrome b
Pichia kudriavzevii Cyp51, Fks
Pneumocystis jirovecii Dhfr
Puccinia triticina Cyp51
Pyrenopeziza brassicae Beta-tubulin
Saccharomyces cerevisiae Act1, Aft1, Any1, Arg2, Atp1, Atp2, Bck1, Bcy1, Beta-tubulin, Bul1, Cbk1, Cdc43, Cdc60, Cdr1, Csf1, Csg2, Cyp51, Cyr1, Cytochrome b, Dcp2, Dhh1, Elo2, Erg12, Erg20, Erg25, Erg3, Erg6, Erg7, Erg9, Fcy1, Fcy21, Fpr1, Fur1, Gfa1, Hap1, Hem1, Hrd3, Hym1, Inp53, Lem3, Pde2, Pdr11, Pma1, Pms1, Pol2, Rav2, Rox1, Rpl28, Rsp5, Scd5, Sip3, Sit4, Sur1, Swh1, Tao3, Tfc1, Top1, Top2, Tsc11, Tup1, Ura6, Utp18, Vma1, Vma16, Vma9, Yrr1
Saccharomyces paradoxus Cdr1, Erg2, Erg6, Pdr10, Upc2, Yrr1
Tapesia acuformis Cyp51
Tapesia yallundae Cyp51
Trichophyton indotineae Squalene epoxidase
Trichophyton interdigitale Squalene epoxidase
Trichophyton mentagrophytes Squalene epoxidase
Trichophyton rubrum Squalene epoxidase
Ustilaginoidea virens Cyp51
Venturia inaequalis Beta-tubulin, Cytochrome b
Zymoseptoria tritici Cyp51, Cytochrome b
Confidence score for antimicrobial resistance

For each mutation there can be one or several antifungals for which the resistance has been associated with resistance in the past. For each antigungal, e.g. Clotrimazole(3/NA), it appears two numbers (or an NA) between brackets separated by a /. These values represent the confidence score, that assesses the degree of evidence that supports their role in drug resistance. The number in the left side of the / is the highest positive confidence score while the one on the right side is the highest negative confidence score.

  • A positive confidence score denotes mutations reported to confer resistance
  • A negative confidence score relates to mutations reported in susceptible strains

The following table shows the confidence scores and their rationale.

Confidence score Description
1 The mutation was created in the same susceptible species background and effect on resistance was confirmed by measurements.
2 The mutation was created in the same gene but expressed in another species with potentially non endogenous level of expression and effect on resistance was confirmed by experimental measurements.
3 The effect of the mutation was quantified by bulk competition assays such as Deep Mutational Scanning.
4 The mutation was identified by experimental evolution where its high frequency in independent replicates suggests it causes resistance.
5 The deletion of the gene causes resistance.
6 The overexpression or duplication of the gene causes resistance.
7 Significant association between the mutation and resistance in a population as determined by GWAS (or other population-based association such as QTL or classical genetics).
8 The mutation was identified in a 'natural' strain (e.g. a clinical isolate) that is resistant but without any further validations.
NA Absence of a positive confidence score report
Negative scores (-) Any confidence score where the mutation was found not to cause resistance using the approach of the corresponding positive score.

More information can be found in ChroQueTas' documentation.

ChroQueTas Technical Details

Links
Task task_chroquetas.wdl
Software Source Code ChroQueTas on GitHub
Software Documentation ChroQueTas on GitHub
Original Publication(s) FungAMR: a comprehensive database for investigating fungal mutations associated with antimicrobial resistance

Outputs

Variable Type Description
chroquetas_amr_stats File File depicting quantity of AMR mutations detected on a gene-by-gene basis
chroquetas_amr_summary File File depicting positions, mutations, and associated fungicide resistance
chroquetas_fungicide_resistance String Comma-delimited summary of mutations and their associated fungicide resistance
chroquetas_status String Status depicting passing or specific errors encountered
chroquetas_version String Version of ChroQueTas
chroquetas_wf_analysis_date String Date analysis was conducted
chroquetas_wf_version String Version of the PHB workflow used

References

Bédard, C., Pageau, A., Fijarczyk, A. et al. FungAMR: a comprehensive database for investigating fungal mutations associated with antimicrobial resistance. Nat Microbiol 10, 2338–2352 (2025). https://doi.org/10.1038/s41564-025-02084-7