Microbial community dynamics during decomposition of insect exuviae and frass in soil
Bibliographic record
Abstract
With the expected growth of insect mass rearing industry, residual streams are set to become increasingly available. However, before these residues can be used as organic amendments, more knowledge of the decomposition dynamics and the associated microbial communities is needed. This study aimed to investigate the decomposition, N-mineralization, and fungal/bacterial community composition over a 16-week incubation period of exuviae and frass from BSF, mealworm, and house cricket in pots containing arable soil. The decomposition of insect residues in litterbags was rapid, with over 50% weight loss observed within two weeks. The release of mineral nitrogen from dispersed insect materials was highest during the initial two weeks, particularly evident in soils treated with exuviae compared to their frass counterparts. Moreover, soil amendment with insect residues enriched chitinolytic soil microbial inhabitants belonging to Gammaproteobacteria, Bacilli, Actinobacteria, and Mortierellomycetes. A comparison of soil amendments with sterilized and non-sterilized mealworm exuviae indicated minimal influence of microbial propagules on the composition of bacterial decomposers, though a notable impact on the fungal community was observed. These findings suggest that amendments with insect residues show promise in enhancing natural biocontrol by stimulating microbial antagonists of plant-pathogenic fungi, thereby presenting a potential tool for integration into soil-borne disease management strategies.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".