Transcriptional flexibility during thermal challenge corresponds with expanded thermal tolerance in an invasive compared to native fish
Bibliographic record
Abstract
Abstract Capacity to cope with warming temperatures is a key determining factor of species' persistence under global climate change. Many successful invasive species have heightened thermal tolerance relative to their native counterparts, which may provide competitive advantages for habitat utilization and resource acquisition under warming scenarios, ultimately contributing to radically altered community composition. Enhanced transcriptional plasticity may be an important factor conferring superior abilities to cope with environmental stress, but the molecular mechanisms driving key differences of organismal traits in invasive versus native species are not well known. Although it is predicted that established invaders will evolve canalized phenotypes well‐adapted to new environments, it is not clear whether the same expectations are true for invaders of variable thermal environments or under climate warming scenarios where abilities to cope with fluctuating and increasing temperatures may provide fitness advantages. Here, we compare a highly successful invasive fish and a sympatric endangered native fish living in a dynamic estuarine environment that is projected to warm under climate change. We linked organismal physiological limits with global transcriptional responses at multiple common relative and absolute temperature thresholds and determined that heightened thermal tolerance of invasive Inland Silversides (Menidia beryllina) is associated with transcriptional changes that are greater both in the number of genes and the magnitude of response relative to native Delta Smelt (Hypomesus transpacificus). Modulated genes contributed to the enrichment of biological processes that differed between species and generally increased with temperature. These results are in concordance with the hypothesis that transcriptional plasticity may play a key role in determining population persistence, species interactions, and shaping community assemblages under climate change. Future studies encompassing a wider range of species and taxa are needed to determine whether this is a general pattern found between native and invasive species more broadly.
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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".