ArticleFEMS yeast research2018
Laboratory evolution for forced glucose-xylose co-consumption enables identification of mutations that improve mixed-sugar fermentation by xylose-fermenting Saccharomyces cerevisiae.
Article in FEMS yeast research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
28 citing papers in PubMed, 59 citations in OpenAlex.
- Strategies and applications for alleviating carbon catabolite repression.Synthetic and systems biotechnology · 2027Review
- Multi-Omics Dissection and Functional Validation of Candidate Regulators Modulating Stress Tolerance and Xylose Utilization in the Natural Yeast Strain YB-2625.Journal of fungi (Basel, Switzerland) · 2026Article
- A genetic screen reveals a key role for Reg1 in 2-deoxyglucose sensing and yeast AMPK inhibition.PLoS genetics · 2025Article
- RNA Polymerase III Promoters Compatible with CRISPR Gene Regulation inACS synthetic biology · 2025Article
- Construction of an alternative NADPH regeneration pathway improves ethanol production inSynthetic and systems biotechnology · 2024Article
- Compositional and temporal division of labor modulates mixed sugar fermentation by an engineered yeast consortium.Nature communications · 2024Article
- Structural and biochemical insights of xylose MFS and SWEET transporters in microbial cell factories: challenges to lignocellulosic hydrolysates fermentation.Frontiers in microbiology · 2024Review
- Engineering co-utilization of glucose and xylose for chemical overproduction from lignocellulose.Nature chemical biology · 2023Article
- Engineering of increased L-Threonine production in bacteria by combinatorial cloning and machine learning.Metabolic engineering communications · 2023Article
- Engineering ofEngineering microbiology · 2023Review
- Estimation of Carbon Metabolism inMicroorganisms · 2022Article
- Highly efficient rDNA-mediated multicopy integration based on the dynamic balance of rDNA in Saccharomyces cerevisiae.Microbial biotechnology · 2022Article
- Physiological limitations and opportunities in microbial metabolic engineering.Nature reviews. Microbiology · 2022Review
- Identification of a glucose-insensitive variant of Gal2 from Saccharomyces cerevisiae exhibiting a high pentose transport capacity.Scientific reports · 2021Article
- Developing rapid growingMetabolic engineering communications · 2020Article
- Promoting the co-utilisation of glucose and xylose in lignocellulosic ethanol fermentations using a data-driven feed-back controller.Biotechnology for biofuels · 2020Article
- Valorisation of pectin-rich agro-industrial residues by yeasts: potential and challenges.Applied microbiology and biotechnology · 2020Review
- Construction of advanced producers of first- and second-generation ethanol in Saccharomyces cerevisiae and selected species of non-conventional yeasts (Scheffersomyces stipitis, Ogataea polymorpha).Journal of industrial microbiology & biotechnology · 2020Review
- Structure-based directed evolution improvesBiotechnology for biofuels · 2020Article
- The emergence of adaptive laboratory evolution as an efficient tool for biological discovery and industrial biotechnology.Metabolic engineering · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Simultaneous fermentation of glucose and xylose can contribute to improved productivity and robustness of yeast-based processes for bioethanol production from lignocellulosic hydrolysates. This study explores a novel laboratory evolution strategy for identifying mutations that contribute to simultaneous utilisation of these sugars in batch cultures of Saccharomyces cerevisiae. To force simultaneous utilisation of xylose and glucose, the genes encoding glucose-6-phosphate isomerase (PGI1) and ribulose-5-phosphate epimerase (RPE1) were deleted in a xylose-isomerase-based xylose-fermenting strain with a modified oxidative pentose-phosphate pathway. Laboratory evolution of this strain in serial batch cultures on glucose-xylose mixtures yielded mutants that rapidly co-consumed the two sugars. Whole-genome sequencing of evolved strains identified mutations in HXK2, RSP5 and GAL83, whose introduction into a non-evolved xylose-fermenting S. cerevisiae strain improved co-consumption of xylose and glucose under aerobic and anaerobic conditions. Combined deletion of HXK2 and introduction of a GAL83G673T allele yielded a strain with a 2.5-fold higher xylose and glucose co-consumption ratio than its xylose-fermenting parental strain. These two modifications decreased the time required for full sugar conversion in anaerobic bioreactor batch cultures, grown on 20 g L-1 glucose and 10 g L-1 xylose, by over 24 h. This study demonstrates that laboratory evolution and genome resequencing of microbial strains engineered for forced co-consumption is a powerful approach for studying and improving simultaneous conversion of mixed substrates.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.