On the origin of asexual species by means of hybridization and drift
Bibliographic record
Abstract
Several species of asexuals appear to have existed for millions of years. This is despite the prevalent view that natural selection is weakened without gene exchange, which should cause these organisms to rapidly go extinct. In theory, one can identify evolutionary long-lived asexuals from their allelic sequence divergence, also known as the 'Meselson effect', which leads to elevated within-individual diversity. Yet evidence that this phenomenon exists is mixed. Furthermore, several confounding factors can lead to similar outcomes, including the formation of asexual species by hybridization. Disentangling these factors has proved to be tricky, but Ament-Velásquez et al. (2016) have provided an elegant solution in this issue of Molecular Ecology. They studied transcriptomes and mitochondrial DNA from the Lineus genus of nemertean worms, which contains both sexual and asexual types, to first show that the asexual L. pseudolactus is a hybrid between a sexual and an asexual species. After isolating out diversity arising from this hybridization, they find subsequent evidence for the Meselson effect. This study sets a new standard for differentiating between the complex causes and consequences of asexuality.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.024 | 0.025 |
| Insufficient payload (model declined to judge) | 0.004 | 0.005 |
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".