Colonization of the nitrogen-fixing bacterium <i>Gluconacetobacter diazotrophicus</i> in a large number of Canadian corn plants
Bibliographic record
Abstract
Gluconacetobacter diazotrophicus is a nitrogen-fixing bacterium originally found in sugarcane. In this report, we studied colonization of this bacterium in corn (Zea mays) using 17 inbred grain corn lines and 10 sweet corn varieties. Gluconacetobacter diazotrophicus was inoculated to roots of different corn plants. Thirty days after inoculation, the presence of the bacterium in plant tissues was evaluated via polymerase chain reaction using specific primers. The research showed that it was possible to introduce G. diazotrophicus into a large number of corn genotypes. The bacterium was detected in 11 grain corn lines and 9 sweet corn varieties and the overall colonization in corn was 74.1%. The bacterium was detected in stems and leaves from the primary site of inoculation, indicating the bacterium could move to other organs and the bacterium showed a positive adaptation to the new host plant. The bacterium population size in colonized plants ranged from 200 to 3000 per fresh gram of tissues. Some grain and sweet corn genotypes were not colonized by the bacterium, indicating that genetic difference exists in corn plants which influences colonization. Sucrose content in stem tissues of sweet corn varieties was higher than that in grain plants. Analysis of all the corn genotypes showed that there was a positive correlation between plant sucrose content and colonization efficiency. The study indicates that corn can be a potential new host plant for G. diazotrophicus.Key words: Grain corn, nitrogen-fixing bacterium, sugar content, sweet corn
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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 | 0.001 | 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) | 0.000 | 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".