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Record W3172025065 · doi:10.1101/2021.06.02.446701

Genomic evidence that blind cavefishes are not wrecks of ancient life

2021· preprint· en· W3172025065 on OpenAlexaff
Maxime Policarpo, Patrick Laurenti, Erik García‐Machado, Cushla J. Metcalfe, Sylvie Rétaux, Didier Casañe

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2021
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicSubterranean biodiversity and taxonomy
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsCaveBiologyEvolutionary biologyPseudogeneBlindnessCichlidPleistoceneZoologyGenomePaleontologyEcologyFish <Actinopterygii>GeneGeneticsFishery

Abstract

fetched live from OpenAlex

Abstract Cavefishes often have modified eyes, from small but otherwise functional, to highly degenerate structures embedded in a connective tissue and covered by skin. Darwin assumed that these animals are ‘wrecks of ancient life’, but several genomic studies suggests they are not ‘ancient’. The most radical dating shift is for populations of a Mexican cavefish, Astyanax mexicanus , that have been recently estimated to be at the most a few tens of thousands years old. Despite having highly degenerate eyes, the eye-specific genes of A. mexicanus have low levels of decay. Other blind cavefishes we have examined so far are even older, but also can be dated to the Pleistocene. Here, we estimated the age of blindness of two additional fish species by the level of decay of eye-specific genes. Many pseudogenes were identified in the amblyopsid Typhlichthys subterraneus , suggesting that blindness evolved a few million years ago. In contrast, the blind cichlid Lamprologus lethops appears to be a new case of very recent and rapid eye regression, which occurred in deep river water, an environment similar to caves. Genome-wide analyses support the hypothesis that blindness in cavefishes is never very ancient, and ranges from the Early Pliocene to Late Pleistocene. Together with the description of hundreds of cavefish species, our results suggest that surface fishes were able to recurrently and rapidly adapt to caves and similar small dark ecosystems but the resulting highly specialized blind species with a limited distribution may be evolutionary dead-ends in a relatively short time.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.086
GPT teacher head0.205
Teacher spread0.120 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2021
Admission routes1
Has abstractyes

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