Pyrosequencing of Chaperonin-60 (cpn60) Amplicons as a Means of Determining Microbial Community Composition
Bibliographic record
Abstract
The chaperonin-60 universal target (cpn60 UT) is generated from a set of PCR primers and provides a universally conserved, phylogenetically informative sequence signature for determining the composition of microbial communities by DNA sequencing. Pyrosequencing of cpn60 UT amplicons is emerging as a next-generation tool for providing unprecedented sequencing depth and resolution of microbial communities in individual samples. Owing to the increase in sequencing depth, the dynamic range across which the presence and abundance of individual species can be sampled experimentally also increases, significantly improving our ability to investigate microbial community richness and diversity. The flexible format of the pyrosequencing reaction setup combined with the ability to pool samples through the use of multiplexing IDs makes the generation of microbial profiles based on the cpn60 UT both feasible and cost-effective. We describe here the methods we have developed for determining microbial community profiles by pyrosequencing of cpn60 UT amplicons, from generating amplicons to sequencing and data analysis.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".