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The implications for aquaculture practice of epigenomic programming of components of the endocrine system of teleostean embryos: lessons learned from mammalian studies

2012· article· en· W2161656235 on OpenAlexafffund
Mao Li, John F. Leatherland

Bibliographic record

VenueFish and Fisheries · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiologyEpigenomeEpigenomicsEpigeneticsTotipotentKillifishDNA methylationGeneticsPhenotypeHistoneEpigenesisEvolutionary biologyCell biologyCellular differentiationGeneGene expressionFish <Actinopterygii>Fishery

Abstract

fetched live from OpenAlex

Abstract Epigenetics is the study of changes in gene expression patterns that occur without any modification of the underlying nucleotide sequence of the DNA . Modifications of the so‐called epigenome include complex transient or permanent chemical changes of the DNA or histone proteins resulting in the suppression or enhancement of gene expression, together with an array of post‐translational events that modify the translational products. Epigenomic programming ( EP ) of the genome is an essential component of embryonic development in animals from the totipotent fertilized egg to the pluripotent stem cells, stem cell differentiation and final tissue and organ formation. Many of these EP processes are influenced transiently and some permanently by environmental influences. In eutherian mammals, environmentally related EP of embryos is linked to permanent changes in the phenotype of the progeny, some of which have been associated with adult onset metabolic disorders. Moreover, because some of the epigenetic remodelling occurs in both the soma and germ line, the resultant phenotypic characteristics (some of which are linked to disease states) may be heritable. Although far less is known about the effects of environmentally linked EP on the ontogeny of fishes, the available information suggests that the EP processes are similar amongst all vertebrates, and there are clear parallels between fish and mammals that are discussed in this paper. Our perspective takes the well‐established findings in mammals and uses them to proactively extrapolate to the as yet under‐recognized implications of EP for fish biology and for fish production in intensive aquaculture.

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 score0.178
Threshold uncertainty score0.193

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 head0.059
GPT teacher head0.320
Teacher spread0.261 · 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

Citations37
Published2012
Admission routes2
Has abstractyes

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