Investigating the role of experimental introgression in Poplar stress tolerance
Bibliographic record
Abstract
Introgression is known from many natural populations of plants for its potential for fitness effects in response to changing environments. Genomic footprints of admixture exist in Populus trichocarpa with its sister species, Populus balsamifera due to its natural hybrid zones in Alaska, northwestern Canada, and the Canadian Rockies. The relationship between admixture and phenotypic variations was investigated with experimental crosses between related species of Populus to determine whether the admixed offspring demonstrates hybrid vigor and increased stress-resistance. Additionally, the presence of candidate genes and loci was investigated for adaptive introgression, where a region associated with the trait of interest is heterozygous for P. trichocarpa and P. balsamifera alleles. Experimental offspring were generated by crossing male genotypes containing various ancestry fractions of these two species (from 0% P. balsamifera up to 7% P. balsamifera) with female genotypes of other species used in poplar breeding programs. The resulting offspring were then subjected to a factorial stress experiment of heat and drought in controlled growth chambers. The results demonstrated that a combination of these stressors significantly affected stomatal conductance in offspring from both admixed and non-admixed ancestries. Local ancestry inferences revealed the presence of genomic regions in the parent species associated with stomatal conductance and stomatal density. The study provides insights into the genetic basis of stress resilience in admixed plant populations which could be crucial to understand for conservation and management efforts in the face of climate change.
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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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".