MétaCan
Menu
Back to cohort
Record W4417042604 · doi:10.3390/ani15243511

Divergent Embryo Responses to Chemical Cues in Two Freshwater Fishes with Different Parental Care Strategies

2025· article· en· W4417042604 on OpenAlexaff
Ning Zhang, Qinlei Li, Minghui Li, Chris K. Elvidge, Chuke Deng, Deshou Wang, Shi‐Jian Fu, Jigang Xia

Bibliographic record

VenueAnimals · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Behavior and Reproduction
Canadian institutionsCarleton University
FundersNational Natural Science Foundation of China
KeywordsALARMEmbryoZebrafishAnimal communicationPaternal careFish <Actinopterygii>IncubationAlarm signal

Abstract

fetched live from OpenAlex

Chemical information is one of the most important modes of communication among aquatic organisms. However, it remains unclear whether fish embryos are innately responsive to ecologically-related chemical cues from the cues of their cohort competitors, potential caring or risky cues from parents, or chemical alarm cues from damaged embryos, and whether these response patterns differ between species that model alternative parental care strategies. Here, we examined embryo responses in heart rate and incubation performance to different conspecific chemical cues (companion embryo odours, maternal odours, maternal + companion odours, embryonic alarm cues, or water controls) in zebrafish (Danio rerio; no parental care) and Nile tilapia (Oreochromis niloticus; high parental care). Zebrafish embryos did not respond to companion embryo odours but did respond similarly to maternal odours and alarm cues consistent with detecting elevated risk levels. In contrast, Nile tilapia embryos only demonstrated significant risk responses to embryonic alarm cues. These findings indicate that embryos of both species can innately recognize alarm cues but differ in their response patterns to conspecific odours. The results highlight that parental care strategies may influence intergenerational chemical communication in fish embryos.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.481
Threshold uncertainty score0.449

Codex and Gemma teacher scores by category

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

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 head0.019
GPT teacher head0.275
Teacher spread0.256 · 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 teacher head, 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueAnimalsSame topicAnimal Behavior and ReproductionFrench-language works237,207