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Ocean acidification alters developmental timing and gene expression of ion transport proteins during larval development in resilient and susceptible lineages of the Pacific oyster (Crassostrea gigas)

2024· preprint· en· W4391400666 on OpenAlexaff
Marissa Wright-LaGreca, Clara L. Mackenzie, Timothy J. Green

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicOcean Acidification Effects and Responses
Canadian institutionsVancouver Island University
Fundersnot available
KeywordsBiologyCrassostreaPacific oysterLarvaLineage (genetic)GeneZoologyGene expressionOysterEcologyGenetics

Abstract

fetched live from OpenAlex

Ocean acidification (OA) adversely impacts initial shell formation of bivalve larvae. Despite many studies observing large differences in developmental success between distinct genetic populations of bivalves exposed to OA, few studies have investigated the molecular mechanisms that enable resilient larvae to build their initial shell. This knowledge is key to their ecological and economical conservation. Herein, we used a genetic-selection program for Crassostrea gigas to produce a resilient and susceptible larval lineage to OA. The resilient and susceptible larvae were sampled every 3-hours over a 24-hour period in OA and control conditions. The susceptible lineage failed to develop a larval shell in OA conditions, whereas 52 % of the resilient lineage developed to D-larvae by 24 hours post fertilisation. We measured the expression of 23 genes involved in initial shell formation by RTqPCR, which revealed significant genotype-by-time and environment-by-time interactions for the transcription of these genes. OA upregulated a single gene encoding a protein involved in ion transport, Na+ K+ ATPase, in both the resilient and susceptible lineage. These results were corroborated by a second experiment involving 25 pair-mated C. gigas families exposed to OA and control conditions. Our findings indicate C. gigas have a fixed capacity to modulate expression of genes involved in initial shell formation in response to OA. Thus, phenotypic differences to OA between the resilient and susceptible lineage are likely explained by other cellular processes, such as bioenergetics or protein translation.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.216
Threshold uncertainty score0.579

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 head0.015
GPT teacher head0.213
Teacher spread0.198 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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