Simultaneously disrupt up to multiple genes in Pichia pastoris using a single-step CRISPR/Cas9 transformation for rapid strain engineering.
Streamline metabolic engineering and functional studies by eliminating multiple genes in one round of engineering, reducing timelines and clone screening effort compared to sequential knockout approaches.
We combine optimized guide RNA design with a streamlined transformation protocol to achieve simultaneous knockout of multiple genomic loci in Pichia pastoris, a methylotrophic yeast widely used for recombinant protein production. Our service leverages optimized guide RNA processing strategies to enable efficient multiplex editing in a single transformation step, reducing the number of engineering cycles compared to sequential knockout approaches. This approach is suitable for both exploratory functional studies and directed strain engineering for bioproduction.
We employ a HH-sgRNA-HDV architecture that efficiently processes multiple gRNAs from a single transcript, ensuring high multiplex editing efficiency in Pichia pastoris.
CRISPR/Cas9-induced double-strand breaks are repaired via NHEJ, leading to small insertions/deletions that disrupt the target open reading frame. Knockout is confirmed by Sanger sequencing of the edited locus.
Projects can be scoped from 2 genes to larger sets (e.g., 4–6 genes) depending on the complexity of the metabolic pathway or functional study. Detailed design consultation is provided at project initiation.
All delivered materials and data are documented to support downstream use and publication.
Each project is scoped individually based on the number of target genes and desired validation depth. Two-column table below outlines typical parameters.
| Parameter | Typical project scope |
|---|---|
| Host Strain | Pichia pastoris (Komagataella phaffii) — standard laboratory strains (e.g., GS115, X-33, KM71H) or customer-provided strain |
| Number of Target Genes | Typically 2–4 genes per project; larger sets (up to 6) evaluated during design phase |
| gRNA Design | 2–3 gRNAs per target gene; in-house algorithm with off-target prediction (Pichia genome-specific parameters) |
| Vector Construction | Multiplex CRISPR/Cas9 expression vector with HH-sgRNA-HDV processing; sequence verification by Sanger sequencing |
| Transformation & Selection | Electroporation into competent P. pastoris; selection on appropriate antibiotic or auxotrophic marker plates |
| Clone Screening | Scoped per project after consultation |
| Off-Target Analysis | In silico prediction included; targeted amplicon sequencing of predicted off-target sites available as optional add-on |
| Project Timeline | Scoped per project after consultation |
A streamlined five-step process from design to validated strain delivery.
Our scientific team reviews your target gene list and project goals. We provide recommendations on gRNA design, number of targets, and validation strategy. A detailed project proposal is prepared with deliverable specifications.
We design 2–3 guide RNAs per target gene using custom algorithms optimized for Pichia pastoris genomic features. gRNAs are cloned into a single multiplex CRISPR/Cas9 vector with optimized processing elements for simultaneous expression. The vector is verified by Sanger sequencing.
The multiplex vector is introduced into P. pastoris competent cells via electroporation. Following recovery, transformants are plated on selective medium. Individual colonies are picked after a timeline confirmed during project scoping of growth at 30°C and transferred to fresh plates for genotyping.
Genomic DNA is extracted from candidate clones. PCR is performed using primers flanking each target locus to detect size shifts indicative of indels. Amplicons are Sanger sequenced to confirm the specific disruption alleles and to assess editing efficiency at each locus.
At least two independent clones with confirmed multi-gene knockout are selected and preserved as glycerol stocks. A final project report including all raw data (PCR gels, sequencing traces, alignments) and quality control documentation is delivered along with the strains.
Disrupt competing or undesirable metabolic pathways in one step to redirect carbon flux toward a product of interest. Multiplex knockout reduces the number of engineering cycles needed to build a production strain.
Investigate functionally redundant genes or gene families by knocking out multiple members simultaneously. This approach helps uncover phenotype contributions that single knockouts cannot reveal.
Knock out protease-encoding genes or other secretion-inhibiting factors to evaluate recombinant protein yield and stability. Multiplex editing can be tailored to the specific expression system (e.g., methanol-induced or constitutive).
We address typical concerns regarding scope, process, and limitations of multiplex CRISPR engineering in Pichia pastoris.
Projects are typically scoped for 2 to 4 target genes per transformation. In some cases, up to 6 genes can be accommodated, but editing efficiency may decrease as the number of gRNAs increases. We evaluate the feasibility during the design phase and provide a recommendation based on your specific gene set and Pichia strain.
For each candidate clone, we perform PCR amplification across each target locus followed by Sanger sequencing. Disruption is confirmed when the sequencing trace shows evidence of an indel (insertion/deletion) that alters the open reading frame. We require at least two independent clones with confirmed multi-gene knockout before final delivery.
Yes. We can use your strain as the host for transformation, provided it is transformable and compatible with our selection markers. If you have a preferred expression vector backbone, we can also incorporate it into the project. Please discuss your specific requirements during the initial consultation.
Every step includes quality checks: vector construction is verified by Sanger sequencing; transformant colonies are confirmed by PCR; each edited locus is Sanger sequenced to obtain the exact allele sequence. A final project report documents all QC data. Off-target analysis (in silico) is standard; optional targeted amplicon sequencing can be added.
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