Plant adaptive radiation mediated by polyploid plasticity in transcriptomes
Bibliographic record
Abstract
The habitats of polyploid species are generally distinct from their parental species. Stebbins described polyploids as 'general purpose genotypes', which can tolerate a wide range of environmental conditions. However, little is known about its molecular basis because of the complexity of polyploid genomes. We hypothesized that allopolyploid species might utilize the expression patterns of both parents depending on environments (polyploid plasticity hypothesis). We focused on hydrological niche segregation along fine-scale soil moisture and waterlogging gradients. Two diploid species, Cardamine amara and Cardamine hirsuta, grew best in submerged and unsubmerged conditions, respectively, consistent with their natural habitats. Interestingly, the allotetraploid Cardamine flexuosa derived from them grew similarly in fluctuating as well as submerged and unsubmerged conditions, consistent with its wide environmental tolerance. A similar pattern was found in another species trio: allotetraploid Cardamine scutata and its parents. Using the close relatedness of Cardamine and Arabidopsis, we quantified genomewide expression patterns following dry and wet treatments using an Arabidopsis microarray. Hierarchical clustering analysis revealed that the expression pattern of C. flexuosa clustered with C. hirsuta in the dry condition and with C. amara in the wet condition, supporting our hypothesis. Furthermore, the induction levels of most genes in the allopolyploid were lower than in a specialist diploid species. This reflects a disadvantage of being allopolyploid arising from fixed heterozygosity. We propose that recurrent allopolyploid speciation along soil moisture and waterlogging gradients confers niche differentiation and reproductive isolation simultaneously and serves as a model for studying the molecular basis of ecological speciation and adaptive radiation.
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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 | 0.000 | 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) | 0.001 | 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".