Genome comparison of<i>Bifidobacterium longum</i>strains NCC2705 and CRC-002 using suppression subtractive hybridization
Bibliographic record
Abstract
Because probiotic effects are strain dependent, genomic explanations of these differences will contribute to understanding their mechanisms of action. The genomic sequence of the Bifidobacterium longum probiotic strain NCC2705 was determined, but little is known about the genetic diversity between strains of this species. Suppression subtractive hybridization (SSH) is a powerful method for generating a set of DNA fragments differing between two closely related bacterial strains. The purpose of this study was to identify genetic differences between genomes of B. longum strains NCC2705 and CRC-002 using PCR-based SSH. Strain CRC-002 produces exopolysaccharides whereas NCC2705 is not known for reliable exopolysaccharide production. Thirty-five and 30 different sequences were obtained from the SSH libraries of strains CRC-002 and NCC2705, respectively. Specific CRC-002 genes found were predicted to be involved in the biosynthesis of exopolysaccharides and metabolism of other carbohydrates, and these genes were not present in the genome of strain NCC2705. The identification of an endo-1,4-beta-xylanase gene in the CRC-002 SSH library is an important difference because xylanase genes have previously been proposed as a defining characteristic of the NCC2705 strain. The results demonstrate that the SSH technique was useful to highlight potential genes involved in complex sugar metabolism that differ between the two probiotic strains.
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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 | 0.000 |
| 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".