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Record W4410515147 · doi:10.1093/dnares/dsaf012

Whole-genome sequencing of the ant <i>Crematogaster osakensis</i> (Hymenoptera: Formicidae: Myrmicinae)

2025· article· en· W4410515147 on OpenAlexfundno aff
Ayako Gotoh, Atsushi Toyoda, Takahiro Yamabe, Takehiko Itoh

Bibliographic record

VenueDNA Research · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInsect and Arachnid Ecology and Behavior
Canadian institutionsnot available
FundersNational Institute for Basic BiologyInstitute of GeneticsJapan Society for the Promotion of Science
KeywordsBiologyMyrmicinaeGenomeGeneEvolutionary biologyANTGeneticsEcology

Abstract

fetched live from OpenAlex

The ant Crematogaster osakensis (Hymenoptera: Formicidae: Myrmicinae) serves as a valuable model organism for investigating queen-specific traits, such as reproductive capacity and longevity, at the cellular and molecular levels. To support future research on queen traits using molecular techniques, including genome editing and multi-omics data analyses, we performed whole-genome sequencing of this species. The genome size of C. osakensis was estimated to be 284 Mb, with a heterozygosity of 0.26%. Annotation revealed the presence of 16,053 protein-coding genes. Furthermore, using the coding sequences annotated in this study, we reanalyzed previously obtained transcriptome data to identify highly expressed genes in the reproductive organs of queens and males. This data will contribute to a deeper understanding of the genetic mechanisms underlying reproductive strategies in ants.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.322
Teacher spread0.291 · 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 routes1
Has abstractyes

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