Out of the Qinghai-Tibetan Plateau and get flourishing - the evolution of <i>Neodon</i> voles (Rodentia: Cricetidae) revealed by systematic sampling and low coverage whole genome sequencing
Bibliographic record
Abstract
Abstract Neodon , genus of a short time evolutionary history, was reported to be diverged from its relatives in early stage of Pleistocene. Only 4 species were well documented in Neodon for a long period of time until last years when a systematic work described and added three new species, adjusted three species used to belong to Lasiopodomys, Phaiomys, Microtus to Neodon and removed one species ( Neodon juldaschi ) to genus Blanfordimys , leading to a total of eight species recorded in Neodon . To gain a better insight into the phylogeny and ecology of Neodon , we have systematically sampled Neodon species along the whole Hengduan and Himalayan Mountains in the last 20 years. In addition to morphological identification, we generated 1x - 15x whole genome sequencing (WGS) data and achieved the mitochondrial genomes and an average of 5,382 nuclear genes for each morpho-species. Both morphology and phylogeny results supported an extra six new species in Neodon (nominated Neodon shergylaensis sp. nov., N. namchabarwaensis sp. nov., N. liaoruii sp. nov., N. chayuensis sp. nov., N. bomiensis sp. nov., and N. bershulaensis sp. nov.). This is the first study that included Neodon samples covering its entire distribution area in China and this systematic sampling also revealed a long-time underestimation of Neodon ’s diversity, and suggested its speciation events linked highly to founder event via dispersal (from Plateau to surrounding mountains). The results also revealed that the Qinghai-Tibetan Plateau is the center of origin of Neodon , and the impetus of speciation include climate change, isolation of rivers and mountains.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".