Sequencing of a Dairy Isolate Unlocks <i>Kluyveromyces marxianus</i> as a Host for Lactose Valorization
Bibliographic record
Abstract
The use of genetically modified nonconventional yeast provides significant potential for the bioeconomy by diversifying the tools available for the development of sustainable and novel products. In this study, we sequenced and annotated the genome of Kluyveromyces marxianus Y-1190 to establish it as a platform for lactose valorization. The strain was chosen for rapid growth on lactose-rich dairy permeate, high transformation efficiency, and ease of culturing in bioreactors. Genomic sequencing revealed that K. marxianus Y-1190 possesses single nucleotide polymorphisms associated with efficient lactose metabolism. The strain is diploid with notable genomic heterogeneity, which appears to be critical for its robust growth and acid tolerance. To further exploit this platform strain, we developed protocols for gene and chromosome manipulation using CRISPR editing, constructed and validated a series of promoters compatible with MoClo vectors, and designed synthetically inducible promoters for K. marxianus . These tools enable precise control over gene expression, allowing for the tailored optimization of metabolic pathways and production processes. The synthetic promoters provide flexibility for dynamic expression tuning, while the CRISPR-based editing protocols facilitate targeted genetic modifications with high efficiency. Together, these advancements significantly enhance the genetic toolbox for K. marxianus, positioning it as a versatile platform for industrial biotechnology. These tools open new opportunities for the sustainable production of biobased chemicals, fuels, and high-value products, leveraging lactose-rich feedstocks to contribute to a circular economy.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".