The effect of thermal stress on whole-body metabolic rate and cellular stress response in the truncate softshell clam, Mya truncata
Bibliographic record
Abstract
Rising global temperatures associated with climate change have led to various responses and consequences across aquatic ectotherms. At the whole-body level, temperature governs all physiological and biochemical processes, and an increase in temperature is normally positively correlated to the aerobic respiration rate of an organism. However, at a critical sub-lethal temperature (Tcrit), most organisms are unable to supply sufficient oxygen to meet demand of the tissues, leading to a reliance on anaerobic metabolism. At the cellular level, the heat shock response (HSR) is a primary mechanism driving differences in thermal tolerances of ectotherms through the induction of heat shock proteins (HSPs). At a species-specific onset temperature (Ton) when the HSR is activated, there is increased production of HSPs that is positively correlated with temperature but will reach a maximum capacity (Tpeak). Thus, Tpeak for HSP induction can be one metric used to understand thermal tolerance of a given species. Importantly, the HSR is energetically costly as energy demand increases under a thermal stress event, which leads to a further increase in oxygen consumption. This study aimed to examine the effects of increasing temperature on whole-body metabolic rate and mRNA transcript abundance in truncate softshell clam, Mya truncata. We acutely exposed clams from the Northern (Iqaluit, Nunavut) and Southern (Godbout, Quebec) populations to one of six temperature treatments (10, 13, 16, 19, and 22 ℃, and a control group at 7 ℃) for 2 hours and measured whole-body metabolic rate and transcript abundance of key molecular markers of the HSR. Our findings indicated temperature influenced both oxygen consumption and the transcript abundance of thermal stress-related genes. Although there was no statistical significance, a noticeable trend of increasing oxygen consumption with rising temperatures was observed. The impact of temperature on the HSR was clearly reflected in alterations in the transcript levels of hsp60 and hsp90, which are linked to protein protection, along with citrate synthase (cs), a marker of cellular aerobic metabolism. These results suggest that truncate softshell clam may be able to tolerate acute heat stress under climate change scenarios.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".