The Evolution of Gene Expression Plasticity During Adaptation to Salt in <i>Chlamydomonas reinhardtii</i>
Bibliographic record
Abstract
When environmental change is rapid or unpredictable, phenotypic plasticity can facilitate adaptation to new or stressful environments to promote population persistence long enough for adaptive evolution to occur. However, the underlying genetic mechanisms that contribute to plasticity and its role in adaptive evolution are generally unknown. Two main opposing hypotheses dominate-genetic compensation and genetic assimilation. Here, we predominantly find evidence for genetic compensation over assimilation in adapting the freshwater algae Chlamydomonas reinhardtii to 36 g/L salt environments over 500 generations. More canalized genes in the high-salt (HS) lines displayed a pattern of genetic compensation (63%) fixing near or at the ancestral native expression level, rather than genetic assimilation of the salt-induced level, suggesting that compensation was more common during adaptation to salt. Network analysis revealed an enrichment of genes involved in energy production and salt-resistance processes in HS lines, while an increase in DNA repair mechanisms was seen in ancestral strains. In addition, whole-transcriptome similarity among ancestral and HS lines displayed the evolution of a similar plastic response to salt conditions in independently reared HS lines. We also found more cis-acting regions in the HS lines; however, the expression patterns of most genes did not mimic that of their inherited sequence. Thus, the expression changes induced via plasticity offer temporary relief, but downstream changes are required for a sustainable solution during the evolutionary process.
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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) | 0.000 | 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".