Bioresource TechnologySynthetic BiologyPeer-reviewed journal article
Epistatic mutations in ISC metabolism synergize with cell cycle regulation and the PPP to enhance xylose fermentation and acetic acid tolerance in industrial yeast
Leandro Vieira dos SantosiD, Gisele Cristina de Lima PalermoiD, Paulo Emílio dos Santos Costa, Ludimila Dias Almeida, Marcelo Falsarella CarazzolleiD, Gonçalo Amarante Guimarães PereiraiD
Abstract
Efficient utilization of complex biomass-derived sugars and tolerance to inhibitors are key requirements for the viability of lignocellulosic-based biorefineries. In this study, a two-stage evolution of an industrial yeast strain engineered with a xylose isomerase pathway yielded strain AceY.14, which exhibited improved fermentative performance and increased tolerance to acetic acid. Whole-genome sequencing of the evolved strain identified SNPs in ZWF1, a component of the pentose phosphate pathway (PPP), and in the G1 cyclin gene CLN3, both of which were functionally validated through CRISPR and reverse engineering. The zwf1E191D mutation reduced xylitol accumulation, alleviating inhibition of xylose isomerase and enhancing flux through the non-oxidative branch of the PPP, while the frameshift cln3T556fsmutation unexpectedly improved acetic acid tolerance and xylose consumption in the evolved strain, also affecting cell size and growth. Genome sequencing of AceY.14 also revealed a significant reduction in the xylA gene copy number, likely decreasing the metabolic burden associated with high xylose isomerase expression. A synergistic effect was observed in the isu1{Delta}/zwf1{Delta} double mutant, further boosting xylose consumption rates. A diploid derivative (AceY-2n) demonstrated high productivity and robustness in fermentations using hydrolysates from various lignocellulosic feedstocks, highlighting the strains potential for industrial-scale applications. These findings reveal novel metabolic targets for strain optimization and offer valuable insights for the rational engineering of yeast platforms for sustainable biofuel and bioproduct production.
- organism: yeast
- assay: whole-genome sequencing
- research focus: variant calling
- research focus: gene regulatory network inference
- research focus: benchmarking
- approach: statistical model
- approach: experimental assay
- Citations
- 4
- FWCI
- 1.20
- Field percentile
- top 23%
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