Multilocus nested haplotype networks extended with DNA fingerprints show common origin and fine‐scale, ongoing genetic divergence in a wild microbial metapopulation
Bibliographic record
Abstract
Nested haplotype networks for three loci in a haploid, fungal plant pathogen, Sclerotinia sclerotiorum, in two natural, Norwegian populations of the woodland buttercup, Ranunculus ficaria, were extended with DNA fingerprints to determine fine-scale population divergence. To preserve the cladistic structure in the network for both nonrecombinant and postrecombinant haplotypes in highly recombinant clades, recombinant events were not removed ('peeled off'), but instead were examined in alternative (marginal) networks. Fungi from both sampling locations share a common origin with subsequent genetic divergence, consistent with expectations for metapopulation structure. Evidence for divergence includes (i) lack of shared fingerprints between the two locations, (ii) evolution of new fingerprints, via transposition and recombination, within 2 years on a fine spatial scale within one sampling location, and (iii) increase in the size of the intergenic spacer (IGS) in both sampling locations. Sites of microsatellite repeat expansion and of an insertion were consistent with the boundaries of two recombination blocks in the IGS. Both alternative networks based on the recombination blocks were essential to finding all associations of DNA fingerprints with IGS size, sampling site, sampling year and mycelial compatibility group. Variation in the elongation factor 1alpha and calmodulin loci supported the topologies and the recurrent, ongoing polarity of change in fingerprints and IGS size inferred from the IGS.
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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 | 0.000 |
| 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 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".