ML-based classification of microbial symbiotic lifestyles
symclatron is a tool that classifies microbial genomes (protein FASTA, or nucleotide FASTA with automatic protein prediction) into three lifestyle categories:
- Free-living
- Symbiont; Host-associated
- Symbiont; Obligate-intracellular
Recommended install paths are Pixi (recommended) or Mamba/Conda.
Install pixi:
curl -fsSL https://pixi.sh/install.sh | shMore information about pixi can be found in the pixi documentation.
Install, setup, and test:
pixi global install -c conda-forge -c bioconda -c https://repo.prefix.dev/astrogenomics symclatron
symclatron setup --force
symclatron test
# Outputs are written under `output_test_Symclatron_<DATETIME>/faa` and `output_test_Symclatron_<DATETIME>/fna`
# (or under `--output-dir` if provided).mamba create -n symclatron-0.9.10 -c conda-forge -c bioconda -c https://repo.prefix.dev/astrogenomics symclatron
mamba run -n symclatron-0.9.10 symclatron setup
mamba run -n symclatron-0.9.10 symclatron test
# Outputs are written under `output_test_Symclatron_<DATETIME>/faa` and `output_test_Symclatron_<DATETIME>/fna`
# (or under `--output-dir` if provided).Note: symcla is a short alias for symclatron. Any command works with either name (for example, symcla test).
Before using symclatron for the first time, you need to download the required database files. This only needs to be done once.
symclatron setup- Input: a directory with one genome per file
- Supported FASTA types:
- Proteins (recommended):
.faa(also accepts common protein FASTA suffixes, optionally gzipped) - Nucleotide contigs/assemblies:
.fa,.fna,.fasta(proteins predicted withpyrodigal) - Nucleotide genes/CDS:
.ffn,.fnn(translated in-frame)
- Proteins (recommended):
- Quality: Complete or near-complete genomes recommended, but good performance for MQ MAGs are expected
symclatron auto-detects whether each input file contains proteins, genes, or contigs and converts nucleotide inputs to proteins before running the standard workflow.
If your nucleotide file extensions are ambiguous, you can override detection with --input-kind contigs or --input-kind genes.
# Protein FASTA input
symclatron classify --genome-dir /path/to/genomes/ --output-dir results/
# Nucleotide contigs/assemblies input (auto protein prediction)
symclatron classify --genome-dir /path/to/contigs/ --output-dir results/
# Ambiguous nucleotide files: force contig mode and only use .fna files
symclatron classify --genome-dir /path/to/inputs/ --input-kind contigs --input-ext .fna --output-dir results/symclatron --help
# Command-specific help
symclatron classify --help
symclatron setup --help
# Show version and information
symclatron --versionThe main classification command with all options:
symclatron classify [OPTIONS]Options:
--genome-dir, -i: Directory (or FASTA file) containing genome inputs (.faa/.fa/.fna/.fasta/.ffn/.fnn) [default: input_genomes]--input-kind: Force input kind:auto,proteins,genes,contigs[default: auto]--input-ext: Only include files with these extensions (repeatable), e.g.--input-ext .fna(also matches.fna.gz)--output-dir, -o: Output directory for results [default: output_Symclatron_]--keep-tmp: Keep temporary files for debugging--threads, -t: Number of threads for HMMER searches [default: 2]--quiet, -q: Suppress progress messages--verbose: Show detailed progress information
Examples:
# Basic usage
symclatron classify --genome-dir genomes/ --output-dir results/
# With more threads and keeping temporary files
symclatron classify -i genomes/ -o results/ --threads 8 --keep-tmp
# Quiet mode
symclatron classify --genome-dir genomes/ --quiet
# Verbose mode with detailed progress
symclatron classify --genome-dir genomes/ --verboseThe classification results are saved in the specified output directory:
-
symclatron_results.tsv- Main classification results with columns:taxon_oid- Genome identifiercompleteness_UNI56- Completeness metric based on universal marker genesconfidence- Overall confidence score for the classificationclassification- Final classification label:Free-livingSymbiont;Host-associatedSymbiont;Obligate-intracellular
-
classification_summary.txt- Summary report with statistics -
Log files - Detailed execution logs with timestamps
When using --keep-tmp, intermediate files are preserved in tmp/ directory for analysis.
symclatron is designed for efficiency:
- >2 minutes per genome on consumer-level laptops
- Most recent benchmark: 306 genomes in ~162 minutes (1.9 min/genome)
- Memory efficient - suitable for standard workstations
If you use symclatron in your research, please cite:
A genomic catalog of Earth’s bacterial and archaeal symbionts. Juan C. Villada, Yumary M. Vasquez, Gitta Szabo, Ewan Whittaker-Walker, Miguel F. Romero, Sarina Qin, Neha Varghese, Emiley A. Eloe-Fadrosh, Nikos C. Kyrpides, SymGs data consortium, Axel Visel, Tanja Woyke, Frederik Schulz bioRxiv 2025.05.29.656868; doi: https://doi.org/10.1101/2025.05.29.656868
- Repository: https://github.com/NeLLi-team/symclatron
- Issues: https://github.com/NeLLi-team/symclatron/issues
- Author: Juan C. Villada jvillada@lbl.gov
