Does the loss of diadromy imply the loss of salinity tolerance? A gene expression study with replicate nondiadromous populations of <i>Galaxias maculatus</i>
Bibliographic record
Abstract
The recurrent colonization of freshwater habitats and subsequent loss of diadromy is a major ecological transition that has been reported in many ancestrally diadromous fishes. Such residency is often accompanied by a loss of tolerance to seawater. The amphidromous Galaxias maculatus has repeatedly colonized freshwater streams with evidence that freshwater-resident populations exhibit stark differences in their tolerance to higher salinities. Here, we used transcriptomics to gain insight into the mechanisms contributing to reduced tolerance to higher salinities in freshwater resident populations. We conducted an acute salinity challenge (0 ppt to 23-25 ppt) and measured osmoregulatory ability (muscle water content) over 48 h in three populations: diadromous, saltwater intolerant resident (Toltén), and saltwater tolerant resident (Valdivia). RNA sequencing of the gills identified genes that were differentially expressed in association with the salinity change and associated with the loss of saltwater tolerance in the Toltén population. Key genes associated with saltwater acclimation were characterized in diadromous G. maculatus individuals, some of which were also expressed in the saltwater tolerant resident population (Valdivia). We found that some of these "saltwater acclimation" genes, including the cystic fibrosis transmembrane conductance regulator gene (CFTR), were not significantly upregulated in the saltwater intolerant resident population (Toltén), suggesting a potential mechanism for the loss of tolerance to higher salinities. As the suite of differentially expressed genes in the diadromous-resident comparison differed between freshwater populations, we hypothesize that diadromy loss results in unique evolutionary trajectories due to drift, so the loss of diadromy does not necessarily lead to a loss in upper salinity tolerance.
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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".