On the adaptation of salinity tolerance: A study of phenotypic divergence between lacustrine and marine populations of Cakile edentula
Bibliographic record
Abstract
A species’ evolution is a process mostly driven by generations of adaptation to different conditions in the local environment. Due to the sedentary lifestyle of terrestrial plants, they must adapt to tolerate these conditions, or disperse seed beyond the local environment. How evolution proceeds may vary with the nuances of any given habitat and the particular stresses associated with it. For plants occurring in shoreline environments, several important ecological growing conditions may affect the direction and pace of evolution based on the type of stress they impose; for example, proximity to the high-tide line affects frequency of tidal inundation, wind and sand flow dynamics affect rate of burial, and water dynamics may include periods of drought, and/or vary depending on whether the habitat is marine or freshwater. Consideration of these conditions may lead to different questions about abiotic stresses, such as whether the plant can survive inundation or burial, and the effects of exposure to salinity on plant reproduction and survival give different intensities of occurrence. Indeed, it is possible for a species to exhibit some plasticity, but after many generations, it becomes probable that habitat specific natural selection leads to ecotypic diversity between ecological variable habitats. In this study, I used a multi-dimensional approach that included physiological, histological and ionomic means to experimentally assessed salinity tolerance in ecologically divergent (marine vs. lacustrine) populations of Cakile edentula (sea rocket; Brassicaceae) from Lake Michigan (ecotype lacustris) and the Canadian maritime region (ecotype edentula). To supplement this work, separate, but similar experiments were conducted on Arabidopsis thaliana genotypes originating from inland and coastal populations. These experiments provided some support for ecotypic divergence with phenotypic variation detected between regions (within species), and that salt had a strong negative effect on several plant traits but that the effect varied between regions. The effects of NaCl treatments differed from those of simulated seawater and natural seawater providing evidence of potential extracellular competition between similar ions for entry into root tissue. Overall, this work begins to elucidate the extent of divergence of these populations of C. edentula, and while specific mechanisms remain unclear, it is evident that variety edentula displays a greater tolerance to salt than its Great Lakes relative, variety lacustris.
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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 | 0.001 | 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".