Stage 0 sporulation gene <scp>A</scp> as a molecular marker to study diversity of endospore‐forming <scp>F</scp>irmicutes
Bibliographic record
Abstract
In this study, we developed and validated a culture-independent method for diversity surveys to specifically detect endospore-forming Firmicutes. The global transcription regulator of sporulation (spo0A) was identified as a gene marker for endospore-forming Firmicutes. To enable phylogenetic classification, we designed a set of primers amplifying a 602 bp fragment of spo0A that we evaluated in pure cultures and environmental samples. The amplification was positive for 35 strains from 11 genera, yet negative for strains from Alicyclobacillus and Sulfobacillus. We also evaluated various DNA extraction methods because endospores often result in reduced yields. Our results demonstrate that procedures utilizing increased physical force improve DNA extraction. An optimized DNA extraction method on biomass pre-extracted from the environmental sample source (indirect DNA extraction) followed by amplification with the aforementioned primers for spo0A was then tested in sediments from two different sources. Specifically, we validated our culture-independent diversity survey methodology on a set of 8338 environmental spo0A sequences obtained from the sediments of Lakes Geneva (Switzerland) and Baikal (Russia). The phylogenetic affiliation of the environmental sequences revealed a substantial number of new clades within endospore-formers. This novel culture-independent approach provides a significant experimental improvement that enables exploration of the diversity of endospore-forming Firmicutes.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".