An assessment of genetic diversity in <i>Desmodium sumichrastii</i> (Fabaceae) of central Mexico
Bibliographic record
Abstract
The genus Desmodium contains ca. 450 species, distributed in Eastern Asia, Mexico, and Brazil, with 40 endemic species in Mexico, including Desmodium sumichrastii (Schinder) Standley. Randomly amplified polymorphic DNA (RAPD) variation was used to assess genetic variation within and among five populations of D. sumichrastii from west-central Mexico, constituting the first assessment in the tribe Desmodieae. Ninety percent of all bands were polymorphic for the 10 decamer RAPD primers used. Sixty-one percent of the variation was within populations, and 39% was among them. This pattern of higher variation within than among populations is unusual, but can be attributed to ethological characteristics of pollinators. The unweighted pair-group method with arithmetic averages (UPGMA) dendrogram based on Nei's genetic distances plots populations from Jalisco together, whereas populations from Aguililla in the neighboring state of Michoacan are separated and next to the San Miguel del Monte population (also in Michoacan). However, the dendrogram based on Dice's similarity coefficient calculated for all individuals separately groups the populations from Aguililla. We also found a significant correlation between genetic and geographic distances, which is in agreement with Dice's UPGMA dendrogram, where closer populations are more genetically similar. Interestingly the most diverse populations are located within a Biosphere Preserve, and the least diverse populations are located in heavily disturbed sites.
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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) | 0.000 | 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".