Direct link between convergent evolution at sequence level and phenotypic level of septal pore cap in Agaricomycotina
Bibliographic record
Abstract
Several homologous morphological characters, despite sharing apparently similar features, are known to have independently evolved in different lineages multiple times. However, the genetic backgrounds of such morphological convergences remain poorly understood. To detect any correlated amino acid substitutions potentially responsible for morphological convergence at the phenotypic level, we focused on the morphology of the septal pore cap (SPC), a structure involved in mycelia's complex multicellularity in fungi. SPCs are classified into 3 morphological types: perforate, imperforate, and vesiculate. To understand the evolutionary events that occurred at the sequence level during the morphological convergence of perforate SPCs in Agaricomycotina, we examined sequence differences among species with different SPC types by comparative genomic analysis using a single-copy gene dataset from 12 Agaricomycotina genomes with morphological literature of SPC. Our analysis revealed that sequences of 8 genes, including an SPC-related gene spc33, were clustered based on SPC morphology rather than species relationship. Additionally, same amino acid substitutions independently occurred in both lineages in which species with perforate SPCs emerged. These findings suggest that specific amino acid substitutions in spc33 were critical for the emergence of perforate SPCs in multiple lineages. Further, our gene search for spc33 across organisms suggests that spc33 evolved shortly before the emergence of imperforate SPC. This study represents the first step toward elucidating the genetic basis of the morphological evolution of SPC. It contributes to both clarifying the genetic basis underlying morphological convergence and advances the study of fungal evolutionary morphology.
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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 | 0.001 |
| 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".