Genomic Analysis Reveals Genetic Diversity, Population Structure and Evolutionary Dynamics in Bluebunch wheatgrass ( <i>Pseudoroegneria</i> species)
Bibliographic record
Abstract
Abstract Bluebunch wheatgrass (BBWG: Pseudoroegneria species) is an outcrossing perennial grass of considerable ecological and agricultural importance due to its resilience in adverse environmental conditions. To gain a deeper understanding of the diversity, population structure, and genetic relationship within the Pseudoroegneria genus, we analyzed genomic variations of 145 genotypes representing seven species ( P. spicata, P. tauri, P. geniculata, P. libanotica, P. strigosa, P. stipifolia, and P. cognata ) from major global lineages, using genotyping-by-sequencing. Our results identify six distinct genetic clusters, with P. spicata (a North America species) clearly separated from the other six species underscoring its unique genetic identity. In contrast, the Eurasian species exhibit mixed ancestry, indicating intricate genetic relationships and widespread exchange of genetic material. Furthermore, no single species tree fully captures the relationships among them, implying interactions such as hybridization or gene flows between closely related species. To investigate the evolutional history of Eurasian BBWG species, we reconstructed the species tree topology based on the SNV (single nucleotide variants) matrix, which revealed potential gene flow events. Our findings suggest that the Eurasian BBWG species have undergone reticulate evolution, characterized by substantial gene flow.
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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 | 0.000 | 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".