Establishing a risk-assessment process for release of genetically modified wine yeast into the environment
Bibliographic record
Abstract
The use and release of genetically modified organisms (GMOs) is an issue of intense public concern and, in the case of food and beverages, products containing GMOs or products thereof carry the risk of consumer rejection. The recent commercialization of 2 GM wine yeasts in the United States and Canada has made research and development of risk assessments for GM microorganisms a priority. The purpose of this study was to take a first step in establishing a risk-assessment process for future use and potential release of GM wine yeasts into the environment. The behaviour and spread of a GM wine yeast was monitored in saturated sand columns, saturated sand flow cells, and conventional flow cells. A widely used commercial Saccharomyces cerevisiae wine yeast, VIN13, a VIN13 transgenic strain (LKA1, which carries the LKA1 alpha-amylase gene of Lipomyces kononenkoae), a soil bacterium (Dyadobacter fermentens), and a nonwine soil-borne yeast (Cryptococcus laurentii) were compared in laboratory-scale microcosm systems designed to monitor microbial mobility behaviour, survival, and attachment to surfaces. It was found that LKA1 cells survived in saturated sand columns, but showed little mobility in the porous matrix, suggesting that the cells attached with high efficiency to sand. There was no significant difference between the mobility patterns of LKA1 and VIN13. All 3 yeasts (VIN13, LKA1, and C. laurentii) were shown to form stable biofilms; the 2 S. cerevisiae strains either had no difference in biofilm density or the LKA1 biofilm was less dense than that of VIN13. When co-inoculated with C. laurentii, LKA1 had no negative influence on the breakthrough of the Cryptococcus yeast in a sand column or on its ability to form biofilms. In addition, LKA1 did not successfully integrate into a stable mixed-biofilm community, nor did it disrupt the biofilm community. Overall, it was concluded that the LKA1 transgenic yeast had the same reproductive success as VIN13 in these 3 microcosms and had no selective advantage over the untransformed parental strain.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".