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Record W2113446065 · doi:10.1093/icb/ics054

Nurse Eggs Form Through an Active Process of Apoptosis in the Spionid Polydora cornuta (Annelida)

2012· article· en· W2113446065 on OpenAlexaff
Glenys Gibson, Corban Hart, Claire Coulter, Haixin Xu

Bibliographic record

VenueIntegrative and Comparative Biology · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine Ecology and Invasive Species
Canadian institutionsAcadia University
Fundersnot available
KeywordsBiologyNurse cellYolkZoologyApoptosisHatchingPopulationFragmentation (computing)FecundityCell biologyEmbryogenesisEcologyEmbryoOogenesisGenetics

Abstract

fetched live from OpenAlex

The production of nurse eggs is fundamental to poecilogony in some species of spionid annelids. In species such as Polydora cornuta, nurse-egg production varies among females and ingestion of nurse eggs varies among young, resulting in a form of poecilogony with divergent phenotypes for females (e.g., fecundity and per-offspring investment) as well as for larvae (e.g., trophic mode, size, and stage at hatching). We tested the hypothesis that nurse eggs of P. cornuta form through an active developmental process and specifically, through apoptosis. Results of a TUNEL assay indicate nuclear fragmentation occurs in a process that is characteristic of apoptosis. Cellular indicators of apoptosis in nurse eggs include activation of caspase-3, a positive Annexin V reaction indicating exposure of phosphatidylserine on the outer cell membrane, and invagination of the membrane to form yolk vesicles. These results indicate that formation of nurse eggs in this population of P. cornuta occurs through an active, adaptive process. Furthermore, while apoptosis also occurs in some cells of P. cornuta embryos, it was not detected until later in development. This suggests that nurse eggs originate through heterochrony in a developmental process (apoptosis) that is common to all young of P. cornuta.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score1.000

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 studies0.0000.001
Scholarly communication0.0000.001
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 head0.045
GPT teacher head0.341
Teacher spread0.296 · 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.

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

Citations20
Published2012
Admission routes1
Has abstractyes

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