Patterns of genetic diversity and population structure of the threatened Houbara and Macqueen’s bustards as revealed by microsatellite markers
Bibliographic record
Abstract
The Houbara bustard (Chlamydotis undulata) is a threatened avian species that is rapidly declining throughout its range, especially in North Africa, Asia and the Canary Islands. We examined the population structure and genetic variation for the three Houbara subspecies C. undulata undulata, C. u. fuertaventurae and C. u. macqueenii. A total of 266 birds from 10 populations were genotyped using seven polymorphic microsatellite markers. The analysis of microsatellite loci generated 1821 genotypes and 55 different alleles. Estimates of observed and expected heterozygosities were relatively high and ranged from 0.371 to 0.687 and from 0.326 to 0.729, respectively. For the first time, significant phylogeographic structure among Asian Houbara populations was found using neutral nuclear markers. Analysis of molecular variance revealed 12.03% population variability among the subspecies. Population structure and assignment tests inferred using a Bayesian approach revealed two distinct clusters with more than 90% likelihood, one Asian and one North African. A positive correlation between genetic distance and geographic distance was detected among populations (r(2) = 0.302). For conservation purposes, this genetic information will help understand the current genetic status improving management strategies for Houbara bustard breeds and populations.
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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 | 0.000 | 0.000 |
| 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".