Metal Tolerance Scores
Reusable species and gene-level metal tolerance signals derived from metal fitness projects and environmental validation work.
Opportunity Hooks
Rare-Earth RB-TnSeq Design
Design the first rare-earth fitness experiment by ranking candidate genes from cross-metal specificity, conservation, annotation, and structure evidence.
Metal-AMR Site Co-Selection Analysis
Test whether metal contamination at BER-relevant sites co-selects antibiotic resistance mechanisms using metal fitness, AMR profiles, and environmental metadata.
Lab-to-Field Fitness Transfer Audit
Audit where laboratory fitness effects predict field ecology and where geochemistry, taxonomy, or metadata completeness blocks transfer.
Open Tensions
Reuse Profile
promotedProduced By
Pan-Bacterial Metal Fitness Atlas Metal-Specific vs General Stress Genes in the Metal Fitness AtlasReused By
BacDive Isolation Environment × Metal Tolerance Prediction BacDive Phenotype Signatures of Metal Tolerance Gene-Resolution Metal Cross-Resistance Across Diverse BacteriaArtifacts
Metal Tolerance Scores
Reusable Object
Metal tolerance scores convert thousands of gene-condition fitness effects into a research primitive: candidate tolerant taxa, genes, and families that can be compared to environments or engineered systems.
Review Brief
What changed: this product is already promoted, but newer rare-earth and field-scale metal ecology pages now depend on it as a reusable evidence layer.
Why review matters: reviewers should confirm that the score can support cross-project reuse without hiding metal identity, organism coverage, specificity filters, or counter-ion caveats.
Evidence to inspect:
metal_fitness_atlasandmetal_specificityfor score construction and specificity filtering.bacdive_metal_validationandbacdive_phenotype_metal_tolerancefor validation.- Metal specificity versus general stress for caveats that must travel with reuse.
Questions for reviewers:
- Are the output artifacts sufficient for reuse, or does this need a table artifact in addition to figures?
- Should every score expose metal, organism, specificity, and validation-status fields?
- Are rare-earth extrapolations clearly labeled as predictions until direct REE fitness exists?
- What downstream page should own score-version changes?
Source Collections
- Fitness Browser for RB-TnSeq metal effects.
- Pangenome collection for conservation and species mapping.
- ENIGMA and BacDive-linked metadata for validation.
Why It Is High Value
It compresses noisy raw experiments into a score and candidate set that many projects can reuse: bioleaching targets, contaminated-site ecology, AMR co-selection, and rare-earth prediction.
High-Value Joins
- Join species-level scores to BacDive isolation and phenotype metadata to validate environmental enrichment.
- Join gene-family scores to pangenome conservation classes to distinguish core robustness from accessory resistance.
- Join metal tolerance scores to AMR mechanism profiles to test co-selection at contaminated sites.
Reuse Signals
This product already supports critical-mineral directions, field-validation hypotheses, and rare-earth experiment design. It should be promoted whenever a project needs a compact representation of metal robustness rather than raw gene-condition matrices.
Missing Complementary Data
Rare-earth fitness experiments, complete counter-ion controls, and richer site geochemistry would make the score more predictive and less caveat-heavy.
Caveats
Scores should retain metal identity, organism coverage, counter-ion caveats, and validation status.