<i>Nilaparvata lugens</i> (Hemiptera: Delphacidae) Midgut Microbial Community Responses to Exposure to <i>Metarhizium flavoviride</i> (Sordariomycetes: Hypocreales)
Bibliographic record
Abstract
Abstract Changes to the community of symbiotic bacteria and fungi in the brown planthopper, Nilaparvata lugens Stål, were measured at different times after exposure to conidial suspensions of Metarhizium flavoviride Gams and Roszypal. Over all concentrations tested, bacterial species associated with N. lugens comprised 8 phyla, 17 classes, 22 orders, 26 families, and 31 genera of which the relative proportions of Arsenophonus, Burkholderia, Enterobacter, Pseudomonas, Stenotrophomonas, and Bacteroides were highest. The relative abundance and diversity of bacteria were highest in the carrier control (0.05% Tween-80 only). Fungi comprised 1 phyla, 5 classes, 10 orders, 13 families, and 18 genera, with Metarhizium being the dominant taxon in specimens from all treatment groups. Metarhizium spp. was greatest in the concentrations of 107 and 108 conidia/ml at 72 hours after exposure, reaching 94.82% and 93.74% of taxonomic units, respectively. We deduced that M. flavoviride competes for nutrition with midgut microorganisms; therefore, exposure to a pathogenic fungus will change the abundance and diversity of bacterial and fungal microorganisms in the midguts of hosts, and pathogens will impact the structure of bacterial communities in the host midgut with an alteration in the bacterial species composition. We observed that following the exposure of N. lugens to M. flavoviride, Metarhizium spp. dominated in the midgut of the host, the abundance and diversity of midgut fungal microorganisms decreased, and the dominant bacterial species in the midgut shifted.
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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".