Construction and analysis of a <scp> <i>Pseudomonas‐Saccharomyces</i> </scp> microbial consortium for <scp>mcl‐PHA</scp> production from xylose and octanoate
Bibliographic record
Abstract
Abstract Microbial consortia have great potential for the production of polyhydroxyalkanoates (PHAs) due to their comprehensive capability. In this study, a microbial consortium consisting of Pseudomonas putida NBRC14164 and Saccharomyces cerevisiae SyBE_Sc01020078 was constructed where xylose was converted into nutrients utilizable to P. putida by S. cerevisiae to realize the production of medium‐chain‐length polyhydroxyalkanoates (mcl‐PHAs) from xylose and octanoate, followed by a preliminary analysis of the interaction between the two strains. The optimal inoculation ratio consisted of 1% P. putida and 10% S. cerevisiae , and both strains exhibited the highest PHA production at their mid‐exponential phase. The two microorganisms were grown in a mineral salt medium with xylose and octanoate as substrates without washing and cultured at 200 rpm. The mcl‐PHA titre of this consortium was 295.7 mg/L, which was 150% higher than that of P. putida in pure culture. Metabolites analysis by gas chromatography–mass spectrometry revealed metabolic communication between P. putida and S. cerevisiae , whereby the former provided histidine, methionine, and leucine for the latter, while the latter converted xylose into lactic acid, which is a more accessible carbon source for the former.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".