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Record W4402564677 · doi:10.1016/j.isci.2024.110898

Developmental correspondence of juvenile stages across the locust, harlequin ladybird, and diamondback moth

2024· article· en· W4402564677 on OpenAlexaff
Hang Zhou, Runguo Shu, Chaowei Zhang, Yiqi Xiao, Dong Jing, Jiejing Tang, Zixiong Cao, Xi Chen, Mei Yang, Fei Li

Bibliographic record

VenueiScience · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLepidoptera: Biology and Taxonomy
Canadian institutionsObject Research Systems (Canada)
FundersNational Key Research and Development Program of ChinaKey Technologies Research and Development ProgramZhejiang UniversityChina Postdoctoral Science FoundationNational Natural Science Foundation of China
KeywordsDiamondback mothLocustZoologyJuvenileBiologyEntomologyEcologyLarva

Abstract

fetched live from OpenAlex

Insect metamorphosis is a captivating aspect of animal research. To address the controversy regarding the developmental correspondence between hemimetabolous and holometabolous insects, we utilized non-destructive micro-computed tomography (CT) imaging and RNA-seq to examine wing growth and transcriptome profiles across juvenile stages in the Locusta migratoria , Harmonia axyridis , and Plutella xylostella , with distinct metamorphic strategies. Micro-CT revealed that over 88% of wing volume increase in ladybirds and moths occurs during the prepupal-pupal transition, similar to locust nymphs. Developmental transcriptome clustering demonstrated that gene expression patterns more closely resembled those between ladybird/moth prepupae/pupae and locust nymphs, whereas holometabolous larvae exhibited distinct profiles. Notably, gene expression specificity increased across juvenile stages with more recent species divergence. Genes highly expressed around the prepupal/pupal stages accumulated higher evolutionary rates. These integrated findings unveil commonalities in juvenile stage development among the locust, ladybird, and moth, providing insights into the evolution of metamorphosis within neopteran insects.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.323
Threshold uncertainty score0.234

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 communication0.0000.000
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 head0.014
GPT teacher head0.266
Teacher spread0.252 · 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 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

Citations4
Published2024
Admission routes1
Has abstractyes

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