A gentle microfluidic platform that enables fluorescence-based sorting of plant protoplasts to enrich rare DNA insertion events without permanent selectable markers. Compatible with prime editing, recombinases, transposases, and HDR-based methods, the workflow preserves cell viability and regenerative capacity, supporting next-generation crop trait development.
A microfluidic cell-screening platform designed to recover rare DNA insertion events from plant-cell populations without relying on permanent selectable markers. Current DNA-insertion methods, including prime editing with extended donors, recombinases, transposases, and staged HDR–recombinase strategies, often achieve efficiencies below 5% and remain target-dependent. Conventional Agrobacterium transformation compensates through selectable markers, but this approach is poorly suited to next-generation trait development where edits could occur naturally.
This platform bridges that gap by combining protoplast transfection with microfluidic, fluorescence-based cell sorting and enrichment. Because enrichment is independent of the insertion mechanism, the platform can support a wide range of DNA-insertion technologies. The workflow preserves cell viability and regenerative capacity, avoiding the losses associated with conventional FACS.
The core microfluidic sorting and regeneration workflow has been demonstrated in commercial potato and tomato lines, with a 20% improvement in gene-editing knockout efficiency shown as proof of enrichment. Increased insertion efficiency has not yet been robustly demonstrated due to resource constraints. A planned six-month programme of repeated design-build-test cycles, each lasting approximately 10 days, will benchmark enrichment across multiple DNA-insertion methods and target loci to establish a robust proof-of-concept workflow with quantified gains in true insertion event recovery.
Founded in 2017, Phytoform is a gene-editing startup focusing on sustainable crop traits. It has received grants and seed funding in the UK and gained attention for its innovative use of AI in plant genomics, targeting improvements in yield and defense without transgenics.