MétaCan
Menu
← Back to cohort
Record W4409694105 · doi:10.1101/2025.04.21.649106

eDNA metabarcoding and whole genome sequencing detect European-American Eel hybrids in northeastern Canada

2025· preprint· en· W4409694105 on OpenAlexafffundabout
Samantha Crowley, Tony Kess, Paul Bentzen, Victoria Neville, Chelsea Bloom, Nicole C. Smith, Nicole Fahner, Lesley Berghuis, Kerry Hobrecker, Mehrdad Hajibabaei, Steven Duffy, Ian Bradbury

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Languageen
FieldEnvironmental Science
TopicEnvironmental DNA in Biodiversity Studies
Canadian institutionsUniversity of GuelphNewfoundland and Labrador Centre for Applied Health ResearchFisheries and Oceans CanadaDalhousie University
FundersFisheries and Oceans CanadaNatural Sciences and Engineering Research Council of CanadaKillam Trusts
KeywordsHybridBiologyGenomeEvolutionary biologyGeographyGeneticsFisheryComputational biologyGeneBotany

Abstract

fetched live from OpenAlex

Abstract American and European Eels ( Anguilla rostrata and Anguilla anguilla , respectively) are sister species of conservation concern, as they have declined in abundance in recent decades. Although there is evidence of gene flow between the two species, most previous hybrid detections have been found in Iceland. Here we expand upon existing reports of interspecific hybrids using a combination of an environmental DNA (eDNA) survey and whole genome sequencing of 347 eels from Newfoundland and Labrador. Metabarcoding of eDNA samples at multiple loci detected the presence of European Eel mitochondrial DNA (mtDNA) at eight locations primarily along the south coast of Newfoundland. Genome sequencing of eels collected in the region revealed three hybrid individuals with levels of European admixture consistent with one first generation hybrid and two North American backcrosses, all with European mtDNA. This work supports the presence of a previously unknown, seemingly localized region of hybrid occurrence in southern Newfoundland and expands our understanding of the relationship between these species across the North Atlantic.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.214
Threshold uncertainty score0.431

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.181
Teacher spread0.170 · 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 designBench or experimental
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

Citations0
Published2025
Admission routes3
Has abstractyes

Explore more

Same venuebioRxiv (Cold Spring Harbor Laboratory)→Same topicEnvironmental DNA in Biodiversity Studies→French-language works237,207→