Overcoming paralogy and incomplete lineage sorting to detect a phylogeographic signal: a <i>GapC</i> study of <i>Armeria pungens</i>
Bibliographic record
Abstract
Low-copy nuclear genes have been suggested as a promising source of independent phylogeographic markers in plants. However, the available studies at the intraspecific level have revealed that extracting information from them is frequently hampered by paralogy and lack of coalescence of alleles. It is thus relevant to test their utility with plants for which solid data from other markers are available. The aims of this study are to retrieve phylogeographic useful information in a low-copy nuclear gene by examining the congruence of the genetic variation with the geography, as well as with previous nuclear ribosomal, plastid, and amplified fragment length polymorphism (AFLP) markers. Seven combinations of primers have been assayed to characterize the structure of GapC (cytosolic glyceraldehyde 3-phosphate dehydrogenase) in Armeria pungens (Link) Hoffmanns. & Link, a linearly distributed Atlantic–Mediterranean disjunct sand-dune species. A matrix of 101 direct sequences from 71 individuals was analysed with statistical parsimony. To check the reliability of direct sequencing, 216 cloned sequences were also generated. Tests of recombination have also been attempted. By comparing nucleotide and amino acid sequences, three different paralogs (1, 2, 3) were identified of which paralog 2 was sampled for phylogeographic inference. Within this paralog, 13 alleles belonging in three different sequence types (I, II, III) were detected. These types are shown to correspond with lineages from the same locus whose splitting predates the origin of A. pungens, although type III could be a recent paralog. Allelic variation within types I and II followed a clear geographic trend supporting the two main genetic lineages detected in A. pungens with previous markers. This study suggests that information on the population history of a species can be retrieved, even if some uncertainty remains on the source of variation of low-copy nuclear gene sequences, either alleles from the same locus or paralogs.
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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 | 0.001 |
| 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".