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Hatchling Phenotype Of Lake Whitefish Incubated At Increased Temperature During Critical Windows Of Development

2016· article· en· W4389027502 on OpenAlexafffundabout
Casey A. Mueller, John Eme, Richard G. Manzon, Christopher M. Somers, Douglas R. Boreham, Joanna Y. Wilson

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsMcMaster UniversityNOSM UniversityUniversity of Regina
FundersNatural Sciences and Engineering Research Council of CanadaMitacs
KeywordsHatchlingHatchingBiologyIncubationOrganogenesisEmbryogenesisEmbryoGastrulationPhenotypic plasticityYolkAndrologyAnimal scienceEcologyFisheryGenetics

Abstract

fetched live from OpenAlex

Phenotypic plasticity is the ability of an animal to modify its phenotype in response to the environment. Embryos may have critical windows during development when they are particularly plastic or susceptible to the environment. We examined whether there are critical windows during Lake whitefish ( Coregonus clupeaformis ) embryonic development when temperature has an especially strong effect on phenotype. Lake whitefish are a cold‐water fish species that inhabits the North American Great Lakes. This species lays eggs that develop over winter when lake temperatures are near freezing. With 2°C as the overall control temperature, embryos were incubated at either 5°C, 8°C or 11°C for all of embryonic development or only during one of four distinct windows of development: gastrulation, organogenesis, fin development, and late growth. Survival was monitored throughout development. Hatching characteristics, including time to hatch, mass at hatch, and hatchling oxygen consumption rate, were measured to examine if warmer temperatures during the four windows of development altered hatchling phenotype. No embryos survived to hatch when incubated constantly at 11°C, and survival was reduced at constant 8°C. Survival was also reduced when embryos were incubated at 11°C during the windows of gastrulation, organogenesis and fin development, but not during the late growth window. Time to 50% hatch decreased with an increase in constant incubation temperature, and only during the late growth window did an increase in temperature decrease time to hatch. Increased incubation temperature during the late growth window resulted in smaller hatchlings and reduced yolk conversion efficiency compared to embryos incubated constantly at 2°C or embryos incubated in warmer temperatures during earlier windows of development. Incubation at 11°C during organogenesis, fin development and the late growth window also reduced yolk conversion efficiency. Mass‐specific oxygen consumption rate increased with an increase in constant incubation temperature, but incubation at either 5°C, 8°C or 11°C during gastrulation, organogenesis, fin development or the growth window did not have substantial effects on metabolism at hatch. Overall, critical windows for survival in response to increased temperature were present during gastrulation, organogenesis and fin development. However, hatchling size was most influenced by incubation at warm temperatures during the late growth window prior to hatch, due to increased temperature inducing early hatching. Support or Funding Information C.A.M. and J.E. were supported by a MITACS Accelerate grant to D.R.B. and J.Y.W. Funding was provided by Bruce Power® and a Collaborative Research and Development Grant from the Natural Sciences and Engineering Research Council of Canada to J.Y.W., R.G.M., and C.M.S.

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 score0.006
Threshold uncertainty score0.011

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 communication0.0000.000
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 head0.007
GPT teacher head0.203
Teacher spread0.196 · 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".

Quick stats

Citations1
Published2016
Admission routes3
Has abstractyes

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