Evolutionary genetic consequences of facultative sex and outcrossing
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Explaining the selective forces that underlie different reproductive modes forms a major part of evolution research. Many organisms are facultative sexuals, with the ability to reproduce both sexually and asexually. Reduced sequencing costs means it is now possible to start investigating genome sequences of a wider number of these organisms in depth, but teasing apart the genetic forces underlying the maintenance of facultative sexual reproduction remains a challenge. An analogous problem exists when determining the genetic consequences of a degree of outcrossing (and recombination) in otherwise self-fertilizing organisms. Here, I provide an overview of existing research on the evolutionary basis behind different reproductive modes, with a focus on explaining the population genetic effects favouring low outcrossing rates in either partially selfing or asexual species. I review the outcomes that both self-fertilization and asexuality have on either purging deleterious mutations or fixing beneficial alleles, and what empirical data exist to support these theories. In particular, a greater application of mathematical models to genomic data has provided insight into the numerous effects that transitions to self-fertilization from outcrossing have on genetic architecture. Similar modelling approaches could be used to determine the forces shaping genetic diversity of facultative sexual species. Hence, a further unification of mathematical models with next-generation sequence data will prove important in exploring the genetic influences on reproductive system evolution.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 it