Transgenerational role of seed mycobiome – an endosymbiotic fungal composition as a prerequisite to stress resilience and adaptive phenotypes in Triticum
Bibliographic record
Abstract
Abstract Illumina-MiSeq next-generation sequencing of ITS 5.8S rRNA gene demonstrated the transgenerational transmission of fungal seed-endophytes (mycobiome) across three consecutive wheat host generations under standard-control and drought conditions in the greenhouse. Drought-stressed plants experienced a positive shift in the seed mycobiome’s composition, moderated by the external acquisition of endophytic Penicillium (E+) at the seed level. Untreated (E−) and unstressed plants harbor a maximal fungal diversity of non-equilibrium ecological communities. While fungal composition in drought-stressed E− plants experienced important fluctuation, E+ plants maintained fungal ecological communities in phase equilibrium across generations. E+ plants hosted a relatively higher abundance of Ascomycota in the 2nd and 3rd seed generations of wheat, whereas higher abundance of Basidiomycota was detected in 1st generation seeds. The dynamic response of ecological communities to environmental stress is conducive to E+ plants’ active recruitment of endosymbiotic consortia in seeds, benefiting host stress resilience and phenotype. In contrast, E− plants showed an erratic distribution of detected OTUs with an increased occurrence of phytopathogens and diminished plant performance under stress. The present study gives insight into the understanding of the seed-mycobiome composition and dynamics with the potential to improve plant host traits in an adverse environment.
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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 | 0.000 |
| 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".