Carolina Parakeet Project

Computational Restoration Stage

The return begins in the cloud.

Before a single cell is engineered, the Carolina Parakeet genome must be reconstructed and modeled computationally. We treat archival sequence data as a large-scale system, mapping recovered variants against living relatives to build a transparent blueprint for de-extinction planning.

Comparative Genomics

CPX vs. Sun Conure sequence workspace

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Live JBrowse embedded

This embedded viewer supports comparative track inspection between Carolina Parakeet archival assemblies and Sun Conure reference data, including variant and synteny review.

Open Genomics Page Open JBrowse Direct
The Motivation

Why computational de-extinction?

Physical de-extinction requires high-containment biolab capacity, long timelines, and strict ethical governance. The stage that must come first is computational: genome assembly, variant triage, and protocol modeling under uncertainty.

This stage outputs comparative variant maps, uncertainty-scored annotations, and ranked edit-candidate sets for downstream review.

Treating the Carolina parakeet genome as operational data creates a reusable scientific asset. That same work strengthens current tools for living parrots, improving conservation decisions before any organism-level step is considered.

The Proxy

The Sun Conure bridge

Phylogenomic evidence supports the Sun Conure as a practical living proxy for comparative modeling. This enables targeted variant mapping and functional prioritization, rather than speculative attempts to invent an entire genome.

This workflow is rigorous differential analysis, not mythic resurrection: identify likely meaningful divergence, rank edit candidates, and pressure-test viability assumptions before any organism-level intervention enters scope.

Because proxy species are informative but not identical, each prioritized edit remains a hypothesis that requires staged validation.

Cultural Restoration

De-extinction does not have to be physical.

Our platform treats de-extinction as layered work. Biological restoration is one path, but cultural restoration is already active through art, public memory, and community storytelling. When a species disappears, culture can still carry it forward. Art can reopen attention, education, and conservation intent long before any lab milestone is reached, and it can return a lost species to public feeling as well as public knowledge.

This spotlight recognizes Chantelle Chapman, whose Parakeet Lost series helps culturally bring back the Carolina Parakeet by making its absence visible again in public imagination.

Explore more at www.chantellechapman.com and @chantellechapman.

When a species disappears, culture can still carry it forward. Art can reopen attention, education, and conservation intent before any lab milestone is reached.

See more of Chantelle's works
Method Constraints

Technical Limits That Keep Claims Responsible

These constraints mark where confidence is strong, where uncertainty remains high, and where decisions still require more evidence.

Signal 01

Ancient DNA Has a Noise Floor

Archival DNA can look novel when it is actually degradation, contamination, or assembly artifact. Every candidate edit must clear that baseline quality check first.

Signal 02

Trait Edits Must Be Prioritized

Color, immunity, tolerance, and behavior are not equally tractable or equally validated. Many sequence differences are neutral or context-dependent, so the workflow ranks edits by evidence and impact, not by how many changes can be made.

Signal 03

Genotype-Phenotype Mapping Is Incomplete

Even with strong comparative genomics, predicting organism-level traits from variant sets remains uncertain, especially for extinct taxa without direct validation data.

Signal 04

Protocol Design Should Stay Reversible

In-silico pipelines need rollback paths and auditable decision points. Rejected edits should remain documented, testable, and useful for future model refinement.

Signal 05

Ecology Sets the Final Boundary

Genomic sophistication is insufficient if release landscapes cannot sustain populations. Ecological carrying capacity and risk forecasting remain the hard boundary for any intervention.

Operational Protocol

The virtual roadmap

01
Archival DNA extraction and sequencing

Source historical material from museum collections. Because archival DNA is fragmented, computational assembly and contamination controls are first-order constraints.

02
Proxy alignment and variant calling

Align Carolina reads against high-quality Sun Conure reference tracks. Derive SNVs and structural differences tied to climate tolerance, coloration, and behavior-relevant traits.

03
CRISPR target modeling (in-silico)

Filter broad variant sets to functionally meaningful edit candidates. Simulate candidate cut sites and assess off-target risk under staged digital protocol gates, while explicitly accounting for unresolved genotype-to-phenotype uncertainty.

04
Physical implementation horizon

Transition to organism-level pathways only after computational confidence, welfare feasibility, and ERSE ecological risk thresholds align.

Feasibility Analysis

Dependencies and barriers

Critical dependencies
  • High-fidelity archival tissue: Museum material with enough recoverable signal for variant confidence.
  • Sun Conure reference quality: Near-complete reference assemblies for stable comparative calls.
  • Compute infrastructure: Petascale workflows for alignment, filtering, and uncertainty propagation.
  • Integrated ERSE modeling: Coupled ecological simulation before any release-stage planning.
  • Governance readiness: Clear ethics, permitting, and biosafety pathways before any organism-level transition.
Systemic barriers
  • DNA degradation: Fragmentation and contamination constrain assembly confidence.
  • Epigenetic uncertainty: Sequence alone does not recover full historical gene-expression states.
  • Avian implementation gap: No mature, routine pathway yet exists for bird cloning or robust avian germline editing at this scope.
  • Behavioral transfer gap: Social learning in parrots complicates surrogate-based outcomes.
  • Habitat reality: Landscapes have shifted since 1918 and require modern suitability/risk validation.
Technical Publication

Formal methods paper in preparation

A full methods publication covering genomic workflow, comparative assumptions, and ecological risk integration is currently in preparation.

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