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Record W2024982230 · doi:10.1139/g07-020

A natural population of the butterfly Eurema hecabe with Wolbachia-induced female-biased sex ratio not by feminization

2007· article· en· W2024982230 on OpenAlexvenueno aff
Satoko Narita, Masashi Nomura, Daisuke Kageyama

Bibliographic record

VenueGenome · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect symbiosis and bacterial influences
Canadian institutionsnot available
Fundersnot available
KeywordsWolbachiaSex ratioBiologyFeminization (sociology)Cytoplasmic incompatibilityGeneticsPopulationZoologySexual differentiationMatingHost (biology)Strain (injury)GeneDemographyAnatomy

Abstract

fetched live from OpenAlex

In butterflies, the adult sex ratio observed in the field is usually male-biased, although the sex ratio of their progeny is 1:1. This is due to the higher motility and larger behavioral range of males than females. As expected, the sex ratio of Eurema hecabe butterflies collected at 6 localities throughout Japan was male-biased. However, in Tsukuba, located in the central part of Japan, the sex ratio was found to be biased toward females. Their progeny reared in the laboratory also exhibited a female-biased sex ratio. A single strain of Wolbachia is considered to be the cause of the sex-ratio distortion, because antibiotic treatment reversed the sex ratio to 1:1, and only a single nucleotide sequence of wsp, a highly variable Wolbachia gene, was detected by molecular analysis. Cytogenetic analysis excluded the possibility of feminization as the underlying mechanism. In addition, when the wild-caught females that had already mated in nature were treated with antibiotics before oviposition, egg-hatch rates were extremely low, suggesting that the same Wolbachia strain also caused cytoplasmic incompatibility. Our findings suggest the possibility that a single strain of Wolbachia induces 2 distinct reproductive manipulations in the same host.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.013
GPT teacher head0.205
Teacher spread0.191 · 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

Citations10
Published2007
Admission routes1
Has abstractyes

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