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Consistency, distinction, and potential metabolic crosstalk of nitrogen mobilization-related genes in silk production and silk gland biology

2024· article· en· W4405466240 on OpenAlexaff
Meiyan Yi, Yang Xu, Man Wang

Bibliographic record

Venue动物学研究 · 2024
Typearticle
Languageen
FieldMaterials Science
TopicSilk-based biomaterials and applications
Canadian institutionsMinistry of Agriculture
FundersSouth China Normal UniversityChinese Academy of SciencesNational Natural Science Foundation of China
KeywordsSILKCrosstalkBiologyProduction (economics)Polymer scienceMaterials scienceEngineeringComposite materialEconomics

Abstract

fetched live from OpenAlex

The domesticated silkworm (<italic>Bombyx mori</italic>) has evolved a highly efficient nitrogen utilization system to support silk production. The silk glands play a pleiotropic role in sequestering nitrogen resources for silk synthesis, mitigating aminoacidemia by assimilating free amino acids, and reallocating nitrogen during metamorphosis through programmed cell death. However, the specific functions of nitrogen metabolism-related genes in this process remain unclear. Using CRISPR/Cas9-based gene editing, mutations were generated in glutamine synthetase (<italic>GS</italic>), glutamate synthetase (<italic>GOGAT</italic>), asparagine synthetase (<italic>AS</italic>), glutamate dehydrogenase (<italic>GDH</italic>) and glutamate oxaloacetate transaminase 1 (<italic>GOT1</italic>). Disruption of <italic>GS</italic>, <italic>GOGAT</italic>, and <italic>AS</italic> consistently reduced silkworm cocoon and pupal weight and significantly down-regulated silk protein gene transcription, whereas <italic>GOT1</italic> mutation had no such effect. <italic>GOGAT</italic> mutants exhibited abnormally enlarged silk glands, whereas <italic>GS</italic> and <italic>AS</italic> mutants showed delayed programmed cell death in the silk glands. In contrast, <italic>GOT1</italic> mutants displayed normal silk gland morphology but were consistently smaller. Disruption of <italic>GS</italic>, <italic>GOGAT</italic>, and <italic>AS</italic> led to more extensive transcriptional changes, including altered expression of transcription factors in the silk glands, compared with <italic>GOT1</italic> mutants. Both <italic>GS</italic> and <italic>GOGAT</italic> mutants exhibited up-regulation of <italic>AS</italic> and <italic>GDH</italic>, while only <italic>GOGAT</italic> mutants displayed elevated AS enzymatic activity, suggesting that GOGAT may compete with AS for glutamine in the silk glands to support silk protein synthesis. <italic>AS</italic> mutants showed significantly elevated GOT activity and up-regulation of several metabolic pathways, indicating that AS may functionally interact with GOT in regulating both silk gland development and programmed cell death during metamorphosis.

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 score0.040
Threshold uncertainty score0.343

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 studies0.0000.000
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 head0.010
GPT teacher head0.254
Teacher spread0.244 · 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

Citations5
Published2024
Admission routes1
Has abstractyes

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