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Record W3212897431

Identification and Functional Characterization of The Neuronal Pathway Regulating Insect Steroid Hormone Biosynthesis

2020· article· en· W3212897431 on OpenAlexfundno aff
英輔 井村, エイスケ イムラ, Eisuke Imura

Bibliographic record

VenueTerrestrial Environment Research Center (University of Tsukuba) · 2020
Typearticle
Languageen
FieldNeuroscience
TopicNeurobiology and Insect Physiology Research
Canadian institutionsnot available
FundersInstitute of GeneticsJapan Society for the Promotion of Science
KeywordsIdentification (biology)BiosynthesisInsectHormoneSteroidBiologySteroid hormoneSteroid biosynthesisCell biologyComputational biologyChemistryBiochemistryGeneEcology
DOInot available

Abstract

fetched live from OpenAlex

Steroid hormones are key players for many aspects of development, growth, and reproduction in multicellular organisms.In insects, the principal steroid hormones, ecdysteroids, coordinate growth and maturation.In Drosophila, a peak in ecdysteroid concentration triggers developmental transitions culminating with molting and metamorphosis.Moreover, recent studies shed light on the basal levels of ecdysteroids, which negatively affect body growth prior to maturation.Ecdysteroid biosynthesis in the prothoracic gland (PG) is affected by several signals, especially neuronal signals, and controls the proper timing of growth and maturation.The prothoracicotropic hormone (PTTH)-producing neurons and serotonergic SE0PG neurons innervate the PG, regulating ecdysteroid biosynthesis.However, only these two types of neurons may not account for the precise timing of basal and peak of ecdysteroid biosynthesis in response to the complex combination of environmental stimuli.Consequently, I hypothesized that other neuronal regulatory systems must exist in the PG.Based on this hypothesis, I aimed to identify and characterize novel PG-innervating neurons.Using the FlyLight database, I found several types of PG-innervating neurons that have not yet been fully characterized.Among these neurons, I focused on three pairs of Corazonin (Crz)-producing neurons, which contact PTTH neurons and PG cells.Inhibition of Crz neuronal activity increased pupal size, whereas it had little effect on pupariation timing.This phenotype resulted from enhanced growth and a delay in basal ecdysteroid elevation during the mid-third instar larval (L3) stage.Silencing of Crz in Crz neurons resulted in increased levels of bantam microRNA, which represses basal ecdysteroid biosynthesis.To examine whether PG cells receive Crz, I visualized the expression of CrzR.Unexpectedly, CrzR was expressed in PTTH neurons rather than PG cells.Silencing of CrzR in PTTH neurons exhibited increased pupal size, phenocopying the inhibition of Crz neurons.Interestingly, Crz receptor (CrzR) expression in PTTH neurons was higher during the mid-L3 stage than during the late-L3 stage.When Crz neurons were optogenetically activated, a strong calcium response was observed in PTTH neurons in the mid-, but not the late-L3 stage larvae brains.These data suggest that the Crz-PTTH neuronal axis modulates basal, but not peak ecdysteroid biosynthesis.Most significantly, this study uncovered a regulatory neuronal system affecting ecdysteroid biosynthesis in a developmental stage-specific manner.

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 score0.005
Threshold uncertainty score0.009

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.083
GPT teacher head0.240
Teacher spread0.157 · 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".

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Citations0
Published2020
Admission routes1
Has abstractno

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