The isolation, identification and characterization of endophytes of the bioenergy crop switchgrass
Bibliographic record
Abstract
It has been established that perennial grasses harbour different types of endophytic bacteria and fungi. Switchgrass (Panicum vergatum L.) is identified as a model perennial energy crop. This study was conducted to explore fungal and bacterial endophyte communities inhabiting switchgrass cultivars of Quebec. The primary focus of this study was to isolate the endophytes, and provide taxonomic identifications based on comparative analysis of ITS rDNA gene sequences. A total of 145 endophytes isolates were recovered (52 bacteria and 93 fungi) from whole plant samples collected at early vegetative, and full reproductive stages. Five and nine different taxa of bacteria and fungi were identified, respectively. We evaluated the antagonistic activity of some endophytes against several fungal pathogens and selected candidate endophytes for future introduction into commercial switchgrass cultivars for biomass enhancement. We demonstrate the vertical transmission ability of some endophyte from one switchgrass generation to the next using species-specific primers. Artificial inoculation of young switchgrass seedlings with selected bacterial endophytes hold promise as a method of reinfection switchgrass seedlings.
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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 | 0.000 |
| 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".