Evolutionary and phylogenetic significance of platypus microsatellites conserved in mammalian and other vertebrate genomes
Bibliographic record
Abstract
Building on the recent publication of the first monotreme genome, that of the platypus, and the discovery that many platypus microsatellites are found in the genomes of three mammals (opossum, human, mouse) and two non-mammalian vertebrates (chicken, lizard), we investigated further the evolutionary conservation of microsatellites identified in the monotreme lineage and tested whether the conservation of microsatellites we observe in vertebrates has phylogenetic signal. Most conserved platypus microsatellites (75%) were found in one species, with the platypus sharing many more microsatellites with mammals than with reptiles (83% versus 30%). Within mammals, unexpectedly, many more platypus microsatellites had orthologues in the opossum genome than in that of either human or mouse, which was at odds with the very well supported view that monotremes diverged from a lineage containing both eutherians and marsupials (Theria hypothesis). We investigated the phylogenetic significance of microsatellite conservation through Bayesian and maximum parsimony tree reconstruction using presence/absence data of microsatellite loci conserved in a total of 18 species, including the platypus. Although models of evolution implemented in current phylogenetic reconstruction algorithms are not tailor-made for microsatellite data, we were able to construct vertebrate phylogenies that correspond well to the accepted mammalian phylogeny, with two of our three reconstructions supporting the Theria hypothesis. Our analysis provides ground for new theoretical development in phylogeny-based analyses of conserved microsatellite data.
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 | 0.001 |
| 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) | 0.001 | 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".