Relationships between fatty acid composition and bile tolerance in lactobacillus isolates from plants and from non-plant materials
Bibliographic record
Abstract
Twenty plant-derived and 18 non-plant-derived strains of Lactobacillus casei were compared for their growth in tryptone - yeast extract - glucose broth containing 0.3% bile by measuring absorbance at a wavelength of 620 nm after 24 h of incubation at 37 °C. Bile tolerance - a fundamental probiotic property - was calculated by dividing the experimental data by control values (growth without bile). We found that bile tolerance was strain specific but that the average bile tolerance of the plant-derived strains was significantly (P < 0.05) lower than that of the non-plant-derived strains tested. All tested strains could not deconjugate sodium taurocholate, indicating that the difference in bile tolerance was not due to the ability to deconjugate bile. The fatty acid compositions of the test strains with and without exposure to 0.3% bile were investigated, and a statistical correlation analysis between these compositions and their bile tolerance was conducted. The fatty acids correlated with bile tolerance differed between plant and non-plant lactobacilli. This is the first report to show that the origin (i.e., growth environment) of lactobacilli affects their fatty acid composition, which in turn, appears to be related to their bile tolerance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".