The contributions of the Metlock team are made possible through the efforts of fellow iGEMers globally. The work of past teams has laid a strong foundation of biological parts, software tools, and collaborative knowledge that continues to inspire and enable innovation in synthetic biology. This year's contributions are possible with gratitude to those who came before, whose efforts have shaped the opportunities available today.
Summary of Contributions
The 2025 Metlock team has made four primary contributions to the iGEM Registry and community:
Library of Biological Parts: ZnuABC[Zur Knockout]-Anderson Promoter Collection
A Custom Software Tools: Plot2Curve, a simulation that predicts mRNA and protein concentration over time under AHL induction and with Anderson family of promoters
Genetic Part: ZnuABC Transporter System [Zur Knockout]
Figure 1: ZnuABC high-affinity zinc transporter operon (ZnuA/ZnuB/ZnuC) used in Metlock.
Description
The Metlock team has designed, constructed, and submitted a new composite BioBrick part encoding the
ZnuABC high-affinity zinc transporter system. This three-gene transporter is naturally found in
Escherichia coli and is essential for zinc uptake supporting many Zn2+-dependent proteins.
We assembled the operon as a single cassette under a constitutive promoter for baseline
characterization; the cassette is compatible with swapping to alternative promoters or inducible gates.
ZnuA: periplasmic zinc-binding protein
ZnuB: transmembrane permease
ZnuC: cytoplasmic ATPase that powers transport
Design Rationale (Zur knockout & modular control)
In E. coli, ZnuABC expression is normally governed by Zur, a zinc-responsive repressor that
shuts down import once intracellular Zn2+ is sufficient. Disabling Zur control allows us to
drive ZnuABC with synthetic regulators instead of the cell’s native sensor. This derepressed design
decouples uptake from homeostatic feedback, enabling sustained, high-level import rather than automatic shutoff as zinc
accumulates—ideal for biomining from dilute streams (e.g., industrial effluents, contaminated water). Once freed from
native regulation, the cassette is modular: it can be placed under any Anderson promoter or an inducible
scheme (e.g., LuxR/pLuxR), creating a versatile platform for tuning and future optimization.
Significance
Zinc is a vital cofactor for many enzymes, and its transport is tightly regulated. By providing the ZnuABC transporter
as a ready-to-use BioBrick, we empower future teams to:
Improve zinc uptake in engineered strains
Design more efficient biosensors or bioaccumulation systems
Study zinc transport dynamics under various environmental conditions
Compare constitutive vs inducible control using a promoter ladder and AHL mapping to balance burden and performance
Registry Information
Part Name: BBa_25V6WTD7
Status: Submitted and available on the iGEM Registry
Figure 2: BBa_K1893004 constitutively expressed LuxR, which then binds AHL, and finally interacts with pLuxR
to drive expression of downstream coding sequences
Description
This part is our tunable zinc-uptake module and the core innovation of Metlock. We place the Zur-knockout ZnuABC operon under the BBa_K1893004 LuxR/pLuxR induction system, so ZnuABC expression is driven by AHL (acyl-homoserine lactone). Instead of one fixed uptake level, teams can dial expression up or down by changing AHL concentration. That makes it possible to find a “sweet spot” where zinc import is high without triggering zinc-induced stress.
Operon components:
ZnuA: periplasmic zinc-binding protein
ZnuB: membrane permease
ZnuC: cytoplasmic ATPase that powers import
BBa_K1893004: AHL-responsive LuxR/pLux induction cassette that drives the operon
LuxR: AHL-dependent transcriptional activator for pLux
AHL: small-molecule inducer that activates LuxR
BBa_B0034: standard strong RBS placed before each ORF
BBa_B0015: strong double terminator to stop transcription
Why ditch Zur?: In E. coli, Zur represses ZnuABC when intracellular Zn2+ is sufficient. Removing Zur decouples the transporter from native feedback so we can control uptake externally.
Why LuxR/pLuxR?: The system responds dose-dependently to AHL, giving a smooth input–output curve (Hill-type). By titrating AHL, teams can map inducer → expression and pick operating points tailored to their media or wastewater stream.
Operational flexibility: Grow cells to high density uninduced (low burden), then add AHL only when you enter zinc-rich feed. This timing reduces stress during growth and maximizes metal capture during the production phase.
Significance
Practical tuning instead of guesswork: AHL lets you adjust ZnuABC in small steps to match variable zinc availability across sites or days.
Safety margin against toxicity: You can back off induction if cells show stress, or push higher when conditions allow.
Comparable, reusable, modular: Any team can reuse the same inducible control, characterize their own AHL–response curve, and share conditions that work.
Drop-in compatibility: The cassette slots into standard chassis and workflows, and can be paired with promoter ladders or additional logic if needed.
Registry Information
Part Name: BBa_25J2UUD0
Status: Submitted and available on the iGEM Registry
Characterization: Still pending
Library of Genetic Parts: ZnuABC[Zur Knockout]-Anderson Promoter Collection
Figure 3: The Anderson Promoter Family is modular in this case, J213XX can be replaced with any given promoter
for testing
Description
This library pairs the Zur-knockout ZnuABC zinc-uptake operon with the standardized Anderson promoter panel to create a constitutive “expression ladder.”
It will come with a teachable, extensible measurement workflow: plate maps, SOPs (transform, grow, read), OD/fluorescence normalization steps, and analysis notebooks.
This will allow teams to rerun the same pipeline on their strains and directly compare against our ladder once fully developed.
Design Rationale (what we will develop - constitutive ladder & measurement workflow)
Teachable, extensible measurement workflow: A ready-to-run template (plate maps, SOPs, normalization, notebooks) lets teams repeat the assay consistently and compare results across the ladder or across labs.
Standardized benchmark for burden vs. benefit: Driving the Zur-KO ZnuABC cassette from weak → strong promoters yields fixed, reproducible transcription rates. Any team can quantify growth cost vs. uptake benefit on a shared scale, producing portable, comparable data.
Inducer-free option for field deployments: Many deployments can’t rely on added inducers. Showing when constitutive ZnuABC is safe and effective provides a drop-in, no-inducer architecture for environmental or point-of-use devices.
Direct bridge to inducible systems: Running the same cassette under AHL/LuxR and under Anderson promoters creates a clean constitutive vs inducible map (e.g., “expression for J23106 ≈ AHL at X nM”). Teams can choose between simplicity (constitutive) and control (inducible) and validate model predictions across both modes.
Model-Ready Quantitative Parameters
With an sfGFP calibrant under each promoter, plate-reader units convert to relative promoter units (RPU) and then to absolute transcription rate (k_tx; RNAs·s⁻¹·cell⁻¹) for the chassis and media used.
These calibrated rates slot directly into our promoter→mRNA→protein modeling tools, enabling dynamic-range predictions and recommended measurement windows for zinc assays.
We will simulate in DBTL cycle 2, then verify in wet-lab cycles to produce reliable biological parameters for the models.
Mid (J23106–J23104): improved uptake with acceptable growth cost.
High (J23100): maximum uptake; watch for membrane/assembly stress or cytotoxicity.
Context & Interoperability Testing [Planned for Cycle 2]
Characterize across at least two plasmid backbones (low-copy pSC101, mid-copy p15A) and note chassis/media effects.
Package data by promoter × backbone so results are reusable across common iGEM build contexts.
Registry Value & Re-use
Each “J231xx-ZnuABC [Zur Knockout]” part will include upon completed characterization: sequence, assembly notes, growth/uptake plots, RPU→k_tx calibration, and recommended use cases (e.g., “use J23110 for low-burden sensing”).
We are publishing this library early as we troubleshoot our wet lab workflows so other teams can reuse the framework,
extend it to related transporters, or collaborate on shared datasets.
Comparative Dataset for the Community
Upon completion, we intent to release a set of final deliverables that will include a matched constitutive vs. AHL dataset
(same cassette, same chassis),providing a rare, high-quality reference set for testing circuit models,
codon-usage effects, and transporter stoichiometry hypotheses.
Significance
Collectively, these deliverables turn the Anderson–ZnuABC panel into more than another set of parts.
It becomes a calibrated, field-relevant design space that teams can navigate to balance uptake performance against
cellular health with clear guidance on when to choose constitutive vs. inducible control.
Status: Submitted and available on the iGEM Registry
Characterization: Still pending
Plot2Curve: AHL Induction Simulation
Why this helps other teams
Narrow your wet-lab search space by starting with a small, sensible grid of AHL doses and induction times rather than guessing. This cuts plates, reagent use, and time.
Plan measurements that matter by simulating how LuxR, AHL, mRNA, and GFP change over time, so early, mid, and near-steady read windows are informative, not redundant.
See “hidden” biology by tracking quantities that are hard to measure directly (for example, LuxR and mRNA) to help interpret OD600 and GFP curves.
Swap components easily thanks to a modular design, allowing teams to replace LuxR/AHL with their own activator/inducer pair and reuse the workflow.
Make experiments reproducible with clear inputs and assumptions (cell volume, collision estimates, decay rates) and versioned outputs that teams can share and compare.
Train new teammates faster with a transparent chain from induction → activation → transcription → translation → fluorescence.
What it includes
Description. A tool for analyzing sGFP production in the Metlock system and other AHL-induction systems. It helps teams narrow AHL (and related) dose ranges to test when trying to keep protein output within a target band. The system is modular so teams can adapt it and deepen it over time.
Features.
Accounts for physical parameters such as cell volume, interaction chance, and molecular decay.
Modular and easy to modify.
Produces detailed data for observable signals (OD600, GFP) and harder-to-measure states (mRNA counts).
Impact. Enables more efficient AHL-induction experiments by focusing initial wet-lab tests on the most promising conditions.
Plot2Curve Gene: Anderson Promoter Family Simulation
Why this helps other teams
Pick promoters with confidence using a ranked k_tx ladder (Anderson J231xx plus customs) to shortlist strong, medium, and weak swaps that span your desired range.
Schedule plate-reader runs using t80 (time to 80% of final fluorescence) and detection time to capture the rise and near-steady phase without babysitting plates.
Catch RBS issues early with a quick Shine–Dalgarno match and spacing check to flag risky designs before cloning.
Plan for multi-gene loads with optional ribosome throttling that shows how total mRNA load can slow translation across parts.
Plug in your gene via custom CDS support (FASTA, raw sequence, or file path) to reuse the same promoter/RBS context for different proteins.
Reuse, compare, and share tidy CSVs (dynamics and per-promoter summaries) and a single figures PDF for DBTL “Learn” steps.
Zero-friction setup: runs headless on Windows, macOS, and Linux with simple environment-variable toggles.
What your team gets out of the box
A ranked promoter ladder and PNG/PDF figures suitable for reports.
promoter_summary.csv with k_tx, m_eq, protein_eq (steady mature GFP), plus timing metrics (t50, t80, detection time) and maturation lag.
promoter_dynamics.csv with full timecourses for mRNA, immature protein, and mature protein.
A small, readable codebase that is easy to extend (swap promoter libraries, refine the RBS model, or change kinetics).
When to reach for which model
Use the AHL Induction Simulation when designing induction conditions (dose and timing) and when you want to see the full activation-to-fluorescence chain.
Use Plot2Curve when selecting constitutive promoters and RBS context, scheduling measurement windows, or running a quick, reproducible promoter screen with a clean k_tx ladder and timing metrics.
Both tools are intentionally lightweight and transparent. They will not replace detailed biophysical models, but they can save days of pilot work, help avoid uninformative experiments, and produce clean artifacts (CSVs and figures) that slot directly into a team’s DBTL cycle.