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SPR-2026-A4F3·September 11, 2026Published

Zebra mussels: museum shell DNA to disentangle the species

AI-generated hypothesis · Pre-publication · To be tested experimentally

Plant Taxonomy and Phylogenetics
Aquatic Invertebrate Ecology and Behavior
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Table of contents — full brief

  • Hypothesis and mechanism
    Causal chain, key assumptions, residual unknowns
  • State of the art
    Verified references and counter-evidence (DOIs)
  • Falsifiable predictions
    Quantitative bounds, statistical tests, H0
  • Experimental protocol
    Three phases — in silico → minimal → full
  • Impact analysis
    Novelty, residual gaps, available data
  • Panel review
    Five personas + meta-review

Verified references

5 of 20 references

+ 15 more references

Detailed panel scores

Methodologist7.2
Weak accept

Phased protocol with explicit GO/NO-GO criteria and quantitative thresholds (ILS >30%, ΔLineages ≥2, quartet support ≥0.85, |Z|>3) that permit falsifiable assessment at each stage, reducing the risk of premature conclusion.

Domain expert7.2
Weak accept

The hypothesis is firmly grounded in multispecies coalescent (MSC) theory and proposes falsifiable tests for each step of the causal chain (ILS, introgression, museomics, delimitation). The null hypotheses are explicit and the statistical thresholds (quartet support ≥0.85, ILS >30%, |Z|>3) are quantified, which is rare and commendable.

Devil's advocate4.0
Weak reject

The hypothesis is unusually explicit regarding its own postulates and its known unknowns, and it proposes to test the feasibility of museomics (Phase 3) and the bias of the BFD under clonality (Phase 6) rather than presuming them. This constitutes a genuine methodological virtue.

Industry reviewer6.5
Weak accept

Niche market with high value: the management of zebra and quagga mussels costs infrastructure operators (EDF, Veolia, US Bureau of Reclamation) more than €500M per year. A reliable delimitation test for the cryptic D. rostriformis complex enables treatments (biocides, coatings) to be targeted and costly regulatory errors to be avoided (e.g. discharge permits based on a misidentified species).

Funding strategist6.8
Weak accept

Falsifiable hypothesis with quantitative GO/NO-GO criteria (ILS >30%, DeltaLineages >=2, quartet support >=0.85, |Z|>3) — highly attractive to reviewers who value explicit high-risk/high-failure tests and 'kill-fast' designs.

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