Identification of sulfoquinovosyl diacylglycerol as a major polar lipid in<i>Marinococcus halophilus</i>and<i>Salinicoccus hispanicus</i>and substitution with phosphatidylglycerol
Bibliographic record
Abstract
The sulfonolipid sulfoquinovosyl diacylglycerol normally associated with photosynthetic membranes was identified as a major lipid in Marinococcus halophilus, Salinicoccus hispanicus ("Marinococcus hispanicus"), and Marinococcus sp. H8 (Planococcus sp. H8). Phosphatidylglycerol and 0%-10% cardiolipin accounted for the remaining polar lipids in these moderately halophilic, Gram-positive bacteria. Negative-ion fast atom bombardment mass spectrometry was used to quantify these three polar lipids from cells grown in media containing 0.03 to 4 mol NaCl/L. All strains revealed dramatic shifts in the ratio of sulfonolipid to phospholipid dependent on the salinity of the growth media, when grown in media with low phosphate content. Highest sulfonolipid content occurred during best growth in 0.5-2 mol NaCl/L, approaching 80%-90% of the total polar lipids. It was demonstrated that growth of M. halophilus in the presence of elevated phosphate and low sulfate blocked the shift to decreased phospholipids most notably during growth in 0.5-2 mol NaCl/L, without significant influence on growth. The data suggest that in low-phosphate media the influence of NaCl concentration on growth rate (and resulting demand for phosphate by competing pathways) is the primary factor responsible for exchange between phospholipid and sulfonolipid. We conclude that sulfoquinovosyl diacylglycerol, by substitution with phospholipids, contributes to the ability of these Gram-positive cocci to adapt to changing ionic environments. A comparison of 16S rRNA established a close similarity between Planococcus sp. H8 and M. halophilus.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".