Population Genetics and Speciation in Outcrossing Species in the Nematode Genus Caenorhabditis
Bibliographic record
Abstract
In Caenorhabditis nematodes, the androdioecious, self-fertilizing reproductive strategy has evolved relatively recently from gonochoristic, outcrossing ancestors. Transitions in mating system impact how genes are vertically transmitted between generations and horizontally between populations through gene flow. To date, species-wide studies have targeted selfing species, and we have limited understanding about how population genetic processes have shaped the genome structure and evolutionary history of outcrossing species of Caenorhabditis. To fill this gap, I investigate patterns of genetic variation and population genetic processes focusing on two outcrossing species in the genus, C. brenneri and C. remanei, using a survey of nucleotide polymorphisms in a multipopulation, multilocus context. I discover extensive genetic diversity in Caenorhabditis brenneri, termed hyperdiversity, giving this species the highest known levels of nucleotide polymorphism for any multicellular eukaryote. Genetic crosses between populations, extensive intra-locus recombination, and evidence of weak selection on codon usage all suggest that this is due to a large effective population size in the species and not an artifact of cryptic species divergence. I demonstrate that C. remanei also is characterised by high genetic variation globally, albeit not as extreme as in C. brenneri, and within each local population. Despite geographic barriers, considerable gene flow occurs between inter-continental locations. While exploring genetic diversity in C. remanei, I discovered C. sp. 23, a new, gonochoristic species reproductively isolated and highly divergent from it. Subsequently, taking advantage of this newly discovered species pair, I explore the patterns of postzygotic reproductive isolation between C. remanei and C. sp. 23. I find evidence of partial F1 hybrid inviability, strong F1 hybrid male sterility (Haldane’s rule) and strong F2 hybrid breakdown between the two. The findings from this thesis, especially the notion of hyperdiversity, can be taken advantage of to answer key questions on testing limits of natural selection, of evolution of genome complexity as well as identifying and characterising functional, non-coding regulatory elements. Discovery of a new species pair in Caenorhabditis helps establish an emerging age of speciation genetics in the worm.
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 | 0.001 |
| 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) | 0.000 | 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".