Phenotypic and Genomic Signatures of Latitudinal Local Adaptation Along With Prevailing Ocean Current in a Coastal Goby
Bibliographic record
Abstract
In the marine realm, unidirectional ocean currents often lead to high migration rates of marine organisms and, therefore, inhibit the formation of their latitudinal genetic structure. In contrast, cryptic latitudinal structures associated with local adaptation may frequently exist in widespread species generally exposed to a strong environmental heterogeneity. However, our understanding of the evolvability of locally adapted populations in open marine environments still needs to be completed. The coastal area along the Sea of Japan, where the Tsushima Warm Current flows from south to north in the Japanese Archipelago, provides a good model system for exploring this question. This study explored evidence for latitudinal local adaptation along with the prevailing ocean current in the ice goby Leucopsarion petersii at the phenotypic and genomic levels. Common garden experiments clearly showed genetically based clinal variation in growth rate, strongly suggesting local adaptation through conutergradient selection of this fitness-related trait. Analyses based on reduced-representation sequencing revealed a slight signal of genetic differentiation between the southern and northern populations, although continuous historical gene flow between them was supported by demographic modelling. Also, whole-genome resequencing showed their independent demographic history during the last glacial period. Thus, these results suggest that gene flow along with the prevailing ocean current is somewhat limited, and the populations are not completely panmictic. Furthermore, the selection scan based on low-coverage genome-wide sequencing detected putative genomic signatures of latitudinal adaptation of growth-related genes. Thus, our integrative study provided a novel example of marine local adaptation under a large ocean current.
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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 | 0.001 | 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".