Internal Control for Nucleic Acid Testing Based on the Use of Purified <i>Bacillus atrophaeus</i> subsp. <i>globigii</i> Spores
Bibliographic record
Abstract
Commonly used internal controls (ICs) to monitor the efficiency of nucleic acid testing (NAT) assays do not allow verification of nucleic acid extraction efficiency. Since microbial cells are often difficult to lyse, it is important to ensure that nucleic acids are efficiently extracted from any target organism. For this purpose, we developed a cellular IC based on the use of nonpathogenic Bacillus spores. Purified Bacillus atrophaeus subsp. globigii (referred to hereafter as simply B. atrophaeus) spores were added to vaginal and anal samples, which were then subjected to rapid DNA extraction and subsequent PCR amplification. The proof of concept of this cellular IC was made through the use of both manual and automated DNA extraction methods, using vaginal or anal samples spiked with B. atrophaeus spores, combined with a multiplex real-time PCR assay for the specific detection of group B streptococci (GBS) and B. atrophaeus. The performance of the cellular IC was compared to that of a standard IC plasmid added to PCRs. Approximately 500 B. atrophaeus spores per PCR was found to be optimal since this did not interfere significantly with GBS detection for either DNA extraction method and yielded reproducible amplification and/or detection of B. atrophaeus genomic DNA serving as an IC template. Performance of the cellular IC was comparable to that of the standard IC. This novel IC system using nonpathogenic and hard-to-lyse B. atrophaeus spores allowed validation of both the DNA extraction procedure and the amplification and detection process. Use of a spore-based control also provides a universal control for microbial cell lysis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 teacher head, 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".