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Daily, Incremental Changes in Incubation Temperature Alter Metabolism and Hatchling Phenotype of Developing Lake Whitefish

2016· article· en· W4389027345 on OpenAlexafffundabout
John Eme, Casey A. Mueller, 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 UniversityUniversity of Regina
FundersMitacs
KeywordsHatchlingHatchingAnimal scienceIncubationBiologyEmbryoEmbryogenesisYolkEcologyFisheryBiochemistry

Abstract

fetched live from OpenAlex

Temperature has pervasive effects on poikilotherm physiology, and embryos and newly hatched/born animals are especially vulnerable to temperature shifts. Lake whitefish ( Coregonus clupeaformis ) are a North American, freshwater lake species with lengthy (80–150 day, 2–8 °C) overwintering embryonic development. Stenothermic, cold‐water embryos may be particularly susceptible to thermal shifts caused by anthropogenic thermal effluent and climate change. We incubated whitefish embryos in petri dishes (N=2000, 6–10 replicates each treatment) at constant treatments of 2.0±0.1°C, 5.0±0.1°C, and 8.0±0.1°C (mean±SD), and in a variable temperature treatment (VT; N=500, each treatment). In the VT, a daily 2°C temperature change (2°C–4°C‐6°C–8°C and back from 8°C‐6°C‐4°C‐2°C) occurred throughout embryonic incubation (mean 5.0±0.3°C). Mortality was quantified as number of hatchlings÷starting embryo number, time to hatch (days post fertilization, dpf) was recorded, and hatchling yolk‐free dry mass was measured. Oxygen consumption rate (VO 2 ; N=8–10, each treatment) was measured at 60% of embryonic development and in hatchlings within 3 days post hatching. VO 2 was measured for the four treatments (2°C, 5°C, 8°C, VT) at each constant temperature of 2°C, 5°C, and 8°C to determine if V.O 2 of VT embryos resembled the VO 2 of other treatments. VO 2 was measured at 2°C, 5°C, and 8°C after exposing embryos/hatchlings from each treatment to a daily 2°C temperature change, if necessary, until embryos/hatchlings reached the measurement temperature; embryos/hatchlings remained at the measurement temperature for a 24 hr acclimation period, and VO 2 was measured. Mortality was significantly affected by treatment (KWRS, P<0.001, Steel‐Dwass post hoc ), with 8°C (14.8%±17.6) and VT hatchlings (83.2%±0.07) having a significantly reduced mortality compared to 2°C (88.4%±0.02) and 5°C (90.5%±0.04) hatchlings. Time to hatch (dpf) was significantly different across all treatments (1‐way ANOVA, P<0.001, Duncan post hoc ) ‐ 8°C (68±2), VT (111±4), 5°C (116±4), 2°C (170±3). Likewise, hatchling yolk‐free dry mass (mg) was significantly different across all treatments (1‐way ANOVA, P<0.001, Duncan post hoc ) ‐ 8°C (0.66±0.08), VT (0.97±0.06), 5°C (1.07±0.03), 2°C (1.36±0.04). VO 2 was significantly affected by the interaction between treatment and measurement temperature (2, 5, 8 °C) at 60% of embryonic development and for hatchlings (2‐way ANOVA, P<0.01), and hatchling VT whitefish had a significantly different VO 2 compared to 5°C measured at 2, 5 or 8 °C (1‐way ANOVA, P<0.001, Duncan post hoc ). This study demonstrates that variable thermal embryonic incubation produces fewer (increased mortality), smaller embryos that hatch earlier. The plasticity of VO 2 for this stenothermic‐incubating fish species under variable incubation conditions could represent a metabolic cost to fluctuating thermal incubation conditions. Support or Funding Information J.E. and C.A.M. were supported by a MITACS Accelerate grant to D.R.B and J.Y.W. Funding was provided by Bruce Power, Inc. 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 score0.004
Threshold uncertainty score0.007

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 head0.011
GPT teacher head0.213
Teacher spread0.202 · 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".

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Citations0
Published2016
Admission routes3
Has abstractyes

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