Contrasting interspecific hybridization patterns in two goby groups radiating in divergent freshwater habitats
Bibliographic record
Abstract
Abstract Hybridization and introgression between closely related species significantly affect their evolutionary and ecological processes. Understanding the ecological, environmental, and geographical conditions that promote their occurrence is imperative. It is hypothesized that species inhabiting geologically unstable habitats or with life-history constraints that prevent evasion from such environments are more prone to interspecific hybridization, due to limited development of prezygotic isolation. To test this hypothesis, we conducted a comparative analysis of genome-wide hybridization patterns in two freshwater goby groups of Gymnogobius: the castaneus- and urotaenia-groups. Utilizing the newly determined draft genome of G. isaza and single nucleotide variants identified by RNA sequencing, we first established the species phylogeny and then examined genetic signatures of interspecific hybridization in each group. The results revealed that all castaneus-group species, which primarily inhabit unstable habitats such as ponds, have undergone interspecific hybridization. Conversely, no species of the urotaenia-group showed clear evidence of hybridization over a period of more than 1 million years. These species inhabit an ancient lake (one species) or rivers (three amphidromous species), the latter possessing potential dispersal abilities in early life to evade geological disturbances. These ecology–geology relationships have remarkable implications for the intricate processes of adaptation and speciation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".