Disentangling Reticulate Evolution in an Arctic–Alpine Polyploid Complex
Bibliographic record
Abstract
Although polyploidy plays a fundamental role in plant evolution, the elucidation of polyploid origins is fraught with methodological challenges. For example, allopolyploid species may confound phylogenetic reconstruction because commonly used methods are designed to trace divergent, rather than reticulate patterns. Recently developed techniques of phylogenetic network estimation allow for a more effective identification of incongruence among trees. However, incongruence can also be caused by incomplete lineage sorting, paralogy, concerted evolution, and recombination. Thus, initial hypotheses of hybridization need to be examined via additional sources of evidence, including the partitioning of infraspecific genetic polymorphisms, morphological characteristics, chromosome numbers, crossing experiments, and distributional patterns. Primula sect. Aleuritia subsect. Aleuritia (Aleuritia) represents an ideal case study to examine reticulation because specific hypotheses have been derived from morphology, karyology, interfertility, and distribution to explain the observed variation of ploidy levels, ranging from diploidy to 14-ploidy. Sequences from 5 chloroplast and 1 nuclear ribosomal DNA (nrDNA) markers were analyzed to generate the respective phylogenies and consensus networks. Furthermore, extensive cloning of the nrDNA marker allowed for the identification of shared nucleotides at polymorphic sites, investigation of infraspecific genetic polymorphisms via principal coordinate analyses PCoAs, and detection of recombination between putative progenitor sequences. The results suggest that most surveyed polyploids originated via hybridization and that 2 taxonomic species formed recurrently from different progenitors, findings that are congruent with the expectations of speciation via secondary contact. Overall, the study highlights the importance of using multiple experimental and analytical approaches to disentangle complex patterns of reticulation.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".