Agrobacterium Strains
Agrobacterium strains represent engineered or naturally derived bacterial lines used for plant genetic transformation and related workflows. In Flask Track, strains act as a bridge between plasmids and biological workflows, ensuring traceability, safety, and reproducibility.
What Is an Agrobacterium Strain?
An Agrobacterium strain is a specific bacterial background (for example AGL1, GV3101, or EHA105) that can carry one or more plasmids and is used to introduce genetic material into plant cells.
Each strain defines:
- The genetic background of the bacterium
- Which plasmids it carries
- Which selectable markers apply
- Any notes or experimental considerations
- Associated sequence files (optional)
Strains are commonly reused across many experiments, so Flask Track treats them as first-class catalog entities.
Strain Overview Page
The strain view page provides a complete snapshot of the strain, including:
- Strain name (e.g.
AGL1) - Background / lineage
- Internal notes
- Linked plasmids
- Selectable markers
- Attached files (including sequences)
Background
The Background field describes the genetic origin of the strain.
Examples:
C58-derivedDisarmed Ti plasmid backgroundSuper-virulent strain
This information helps users understand:
- Transformation efficiency expectations
- Compatibility with certain plasmids
- Regulatory or biosafety implications
Notes
The Notes section is free-form and intended for practical lab context, such as:
- Enhanced vir gene expression
- Known transformation efficiencies
- Growth characteristics
- Special handling considerations
These notes are especially useful for onboarding new lab members or maintaining institutional knowledge.
Associated Plasmids
What This Means
Each Agrobacterium strain can be linked to one or more plasmids. This linkage represents the actual biological pairing used in experiments.
For each linked plasmid, Flask Track records:
- Plasmid name
- Selectable marker
- Ability to unlink the plasmid
Why This Matters
Linking plasmids to strains allows Flask Track to:
- Automatically validate workflows that require plasmids
- Enforce compliance rules (e.g. GMO handling)
- Ensure experiments are reproducible
- Prevent invalid combinations at execution time
Selectable Markers
What Is a Selectable Marker?
A selectable marker is a gene that allows researchers to select for bacteria that successfully contain a plasmid.
In practice:
- The marker provides resistance to a specific antibiotic
- Only bacteria carrying the plasmid survive when the antibiotic is present
Common examples include:
kanamycinaachygromycinspectinomycin
Where Markers Apply
Selectable markers appear at two levels:
- Plasmid level – what resistance the plasmid encodes
- Strain–plasmid linkage – which marker is actively used in that strain
Why Flask Track Tracks Markers Explicitly
Explicit marker tracking allows Flask Track to:
- Prevent incompatible plasmid–strain combinations
- Guide correct antibiotic selection during culture
- Support audits and compliance reviews
- Reduce experimental errors for less experienced users
Linking a Plasmid to a Strain
To associate a plasmid with a strain:
- Select the strain
- Choose the plasmid
- Enter the selectable marker
- Click Link
Once linked:
- The relationship becomes immediately visible
- The strain becomes eligible for workflows requiring plasmids
- Marker information propagates into downstream steps
Files & Sequence Viewer
Attached Files
Strains may have files attached, such as:
- FASTA / FASTQ sequence files
- Reference annotations
- Internal documentation
Sequence Viewer
When a sequence file is attached, Flask Track automatically enables the Sequence Viewer, which provides:
- Circular or linear sequence visualization
- Base-level inspection
- Length and orientation information
- Amino acid translations (where applicable)
The sequence viewer is consistent across the system and appears anywhere sequence files are uploaded.
Usage in Workflows
Agrobacterium strains are referenced by:
- Protocols (e.g. transformation steps)
- Workflows (Agro co-cultivation pipelines)
- Compliance rules (GMO handling and containment)
- Species defaults (pre-filled transformation settings)
This ensures experiments remain tied to real biological materials, not just abstract steps.
Compliance & Traceability
Because Agrobacterium strains often involve recombinant DNA:
- All changes are recorded in the Audit Log
- Linked plasmids inherit compliance context
- Strains can trigger compliance checklists
- Usage is reviewable during audits
This design supports both academic research and regulated environments.
Summary
Agrobacterium strains in Flask Track provide:
- Clear representation of bacterial backgrounds
- Explicit plasmid and selectable marker tracking
- Built-in compliance and audit support
- End-to-end traceability across experiments
- A shared source of truth for transformation workflows