Speciation genomics in plants: divergence continuum and beyond
Bibliographic record
Abstract
Rapid recent progress in ecological & evolutionary genomics is imparting fresh perspectives to the study of population divergence and speciation, i.e. the origin and maintenance of biological diversity. Our group’s research interests revolve around the use of novel laboratory and computational tools for studying adaptive evolutionary responses, speciation, and species radiations in plants (e.g. New Phytologist, 196:652-654, 2012; Molecular Ecology, 22:842-855, 2013; Journal of Biogeography 40, 1013–1022, 2013; Evolution 68:453–465, 2013; Heredity, 111:474–485, 2013; Molecular Ecology 23:4373–4386, 2014). In my talk, I will highlight recent progress of our work. This will include phenome and whole-genome perspectives on population divergence along the entire ‘speciation continuum’ in a model plant group (Populus spp.), and related research on species-rich radiations in biodiversity hotspots that have not been on the “radar” of speciation genomics thus far. In this context, I will focus on selected studies from our ongoing work on South African (restiads and proteas) and South American (bromeliads and palms) radiations. I will highlight the gap that currently exists between genomic research at the micro-evolutionary scale (i.e. population divergence and speciation) and research at the macro-scale of entire species radiations in most groups of animals and plants. I will highlight how this gap might potentially be closed, in model and non-model groups, by integrating speciation genomics more closely with phylogenomics and spatially explicit approaches from ecology.
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 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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 teacher head, 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".