The thermotolerant methylotrophic yeast Ogataea polymorpha has been regarded as an important organism for basic research and biotechnological applications. It is generally recognized as an efficient and safe cell factory in fermentative productions of chemicals, biofuels and other bio-products. However, it is difficult to genetically engineer for the deficiency of an efficient and versatile genome editing technology. In this study, we developed a CRISPR–Cas9-assisted multiplex genome editing (CMGE) approach including multiplex genes knock-outs, multi-locus (ML) and multi-copy (MC) integration methods in yeasts. Based on CMGE, various genome modifications, including gene deletion, integration, and precise point mutation, were performed in O. polymorpha. Using the CMGE-ML integration method, three genes TAL from Herpetosiphon aurantiacus, 4CL from Arabidopsis thaliana and STS from Vitis vinifera of resveratrol biosynthetic pathway were simultaneously integrated at three different loci, firstly achieving the biosynthesis of resveratrol in O. polymorpha. Using the CMGE-MC method, ∼ 10 copies of the fusion expression cassette PScTEF1-TAL-PScTPI1-4CL-PScTEF2-STS were integrated into the genome. Resveratrol production was increased ~ 20 fold compared to the one copy integrant and reached 97.23 ± 4.84 mg/L. Moreover, the biosynthesis of human serum albumin and cadaverine were achieved in O. polymorpha using CMGE-MC to integrate genes HSA and cadA, respectively. In addition, the CMGE-MC method was successfully developed in Saccharomyces cerevisiae. An efficient and versatile multiplex genome editing method was developed in yeasts. The method would provide an efficient toolkit for genetic engineering and synthetic biology researches of O. polymorpha and other yeast species.

Corynebacterium glutamicum is an important platform organism for industrial biotechnology to produce amino acids, organic acids, bioplastic monomers, and biofuels. The metabolic flexibility, broad substrate spectrum, and fermentative robustness of C. glutamicum make this organism an ideal cell factory to manufacture desired products. With increases in gene function, transport system, and metabolic profile information under certain conditions, developing a comprehensive genome-scale metabolic model (GEM) of C. glutamicum ATCC13032 is desired to improve prediction accuracy, elucidate cellular metabolism, and guide metabolic engineering. Here, we constructed a new GEM for ATCC13032, iCW773, consisting of 773 genes, 950 metabolites, and 1207 reactions. Compared to the previous model, iCW773 supplemented 496 gene–protein-reaction associations, refined five lumped reactions, balanced the mass and charge, and constrained the directionality of reactions. The simulated growth rates of C. glutamicum cultivated on seven different carbon sources using iCW773 were consistent with experimental values. Pearson’s correlation coefficient between the iCW773-simulated and experimental fluxes was 0.99, suggesting that iCW773 provided an accurate intracellular flux distribution of the wild-type strain growing on glucose. Furthermore, genetic interventions for overproducing l-lysine, 1,2-propanediol and isobutanol simulated using OptForceMUST were in accordance with reported experimental results, indicating the practicability of iCW773 for the design of metabolic networks to overproduce desired products. In vivo genetic modifications of iCW773-predicted targets resulted in the de novo generation of an l-proline-overproducing strain. In fed-batch culture, the engineered C. glutamicum strain produced 66.43 g/L l-proline in 60 h with a yield of 0.26 g/g (l-proline/glucose) and a productivity of 1.11 g/L/h. To our knowledge, this is the highest titer and productivity reported for l-proline production using glucose as the carbon resource in a minimal medium. Our developed iCW773 serves as a high-quality platform for model-guided strain design to produce industrial bioproducts of interest. This new GEM will be a successful multidisciplinary tool and will make valuable contributions to metabolic engineering in academia and industry.

Extensive modification of genome is an efficient manner to regulate the metabolic network for producing target metabolites or non-native products using Corynebacterium glutamicum as a cell factory. Genome editing approaches by means of homologous recombination and counter-selection markers are laborious and time consuming due to multiple round manipulations and low editing efficiencies. The current two-plasmid-based CRISPR–Cas9 editing methods generate false positives due to the potential instability of Cas9 on the plasmid, and require a high transformation efficiency for co-occurrence of two plasmids transformation. Here, we developed a RecET-assisted CRISPR–Cas9 genome editing method using a chromosome-borne Cas9–RecET and a single plasmid harboring sgRNA and repair templates. The inducible expression of chromosomal RecET promoted the frequencies of homologous recombination, and increased the efficiency for gene deletion. Due to the high transformation efficiency of a single plasmid, this method enabled 10- and 20-kb region deletion, 2.5-, 5.7- and 7.5-kb expression cassette insertion and precise site-specific mutation, suggesting a versatility of this method. Deletion of argR and farR regulators as well as site-directed mutation of argB and pgi genes generated the mutant capable of accumulating l-arginine, indicating the stability of chromosome-borne Cas9 for iterative genome editing. Using this method, the model-predicted target genes were modified to redirect metabolic flux towards 1,2-propanediol biosynthetic pathway. The final engineered strain produced 6.75 ± 0.46 g/L of 1,2-propanediol that is the highest titer reported in C. glutamicum. Furthermore, this method is available for Corynebacterium pekinense 1.563, suggesting its universal applicability in other Corynebacterium species. The RecET-assisted CRISPR–Cas9 genome editing method will facilitate engineering of metabolic networks for the synthesis of interested bio-based products from renewable biomass using Corynebacterium species as cell factories.