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Record W4409136721 · doi:10.1016/j.cbd.2025.101505

Transcriptomic signatures associated with developmental transitions in the gill of lake sturgeon (Acipenser fulvescens)

2025· article· en· W4409136721 on OpenAlexafffund
William S. Bugg, Madison L. Earhart, Matt J. Thorstensen, Patricia M. Schulte, W. Gary Anderson, Ken M. Jeffries

Bibliographic record

VenueComparative Biochemistry and Physiology Part D Genomics and Proteomics · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsUniversity of ManitobaUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Manitoba
KeywordsAcipenserLake sturgeonBiologySturgeonTranscriptomeZoologyFisheryFish <Actinopterygii>Gene expressionGeneGenetics

Abstract

fetched live from OpenAlex

The developmental transition from the larval to juvenile stage, represents one of the highest periods of mortality for many species of fish. Thus, understanding the factors that may influence susceptibility to environmental stressors at this vulnerable stage is likely to be important for predicting responses to environmental change. Here, we compared gill mRNA transcript abundance during this critical developmental transition in fish from two geographically distinct populations of lake sturgeon (Acipenser fulvescens) that experience highly divergent thermal environments. Throughout the developmental transition from the larval to juvenile stage (30 to 60 days post-fertilization), the 'colder' northern population exhibited differential expression of approximately twice as many transcripts as compared to their 'warmer' southern counterparts. Transcriptional modifications that were conserved across both populations during the transition from the larva to juvenile stage were involved in histone methylation, protein binding, and apoptotic signaling associated with cell death and turnover. The northern population, specifically, had increased changes associated with GTPase signaling activation, cell surface proteins, mitochondrial and epithelial development which may have contributed to the larger magnitude of transcriptional change in this population, compared to their southern counterparts. Together these findings demonstrate the impacts of transcriptional shifts in the gill during development in lake sturgeon, as well as the potential for population-specific developmental processes.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.804
Threshold uncertainty score0.362

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 head0.013
GPT teacher head0.221
Teacher spread0.208 · 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 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

Citations1
Published2025
Admission routes2
Has abstractyes

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