Convergent Evolution

Current understanding

Convergent evolution — the independent origin of similar traits in separate lineages — is one of the central puzzles in evolutionary biology. A key question is whether convergence at the phenotypic level is underlain by convergence at the molecular or genomic level. Answering this question requires tools and frameworks that can simultaneously interrogate multiple independent populations or lineages and identify loci whose evolutionary signals (e.g., elevated differentiation, altered expression) recur across all comparisons.

The Mexican cavefish Astyanax mexicanus has become a premier system for studying convergent evolution because multiple geographically distinct cave populations (e.g., Pachón, Molino, Tinaja) have independently evolved overlapping suites of traits — including eye reduction, pigment loss, and altered circadian rhythms — from surface-dwelling ancestors. By treating each cave-versus-surface population pair as a replicate, researchers can screen for genomic and transcriptomic signatures that appear in all replicates, providing statistical evidence of convergent molecular evolution rather than shared ancestry.

A bioinformatic approach demonstrated in the CaveCrawler tool exploits exactly this logic: candidate genes are flagged as “double outliers” when they appear as FST outliers (unusually low divergence relative to surface fish) and are differentially expressed in the phenotype of interest across every cave-surface comparison tested. Applying this framework to circadian regulation, Perry et al. 2022, Finding 1 identified arpin — a negative regulator of actin dynamics — as a double outlier in all three Pachón, Molino, and Tinaja versus Río Choy surface fish comparisons. This makes arpin a high-priority candidate for functional investigation into how actin regulation might interface with circadian or behavioral evolution in cave environments.

It is important to note that this identification is correlative: neither the FST outlier threshold nor the expression dataset has been experimentally validated to confirm arpin’s causal role in cavefish phenotypes. The finding is best understood as a proof-of-principle for convergence-screening methodology rather than a definitive mechanistic claim.

Supporting evidence

Contradictions / open disagreements

The convergence inference rests on FST outliers defined at the lowest 5% divergence threshold and a single circadian transcription dataset (Mack et al. 2021). Altering either the divergence threshold or the expression dataset could change which genes qualify as double outliers. More fundamentally, because all three cave populations belong to the same species and may share some ancestral standing variation, it remains debated whether recurrence across these populations constitutes independent convergence in the strict sense, or partial sharing of pre-existing alleles. No functional validation of arpin’s role in cavefish circadian or actin phenotypes has been reported, leaving the biological inference correlative.

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