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P. brasiliense is one of the most aggressive species within the Pectobacterium genus and is the causal agent of potato soft rot, blackleg, and aerial stem rot1. These diseases lead to an estimated 30% yield loss in potato, a crop ranking as the world’s third most important food source and a key component of China’s agricultural production system2. Despite its economic impact, the molecular mechanisms governing the pathogenicity of P. brasiliense remain insufficiently understood, largely due to the lack of efficient and reproducible genetic manipulation tools for this species3,4,5.
Functional genomic studies in many phytopathogenic bacteria rely on robust allelic exchange and transposon mutagenesis systems; however, comparable genetic tools for P. brasiliense remain limited or inefficient. In particular, effective counter-selection markers compatible with this species are scarce. While the sacB gene is widely utilized as a counter-selection marker for gene deletion in various bacteria, P. brasiliense could exhibit high tolerance up to 50% sucrose during the selection process5. This tolerance likely reflects a lack of sensitivity to toxins, possibly due to the enzymatic conversion of sucrose into sugar polymers. Furthermore, high sucrose concentrations may induce deleterious osmotic shock6. Additionally, efficient large-scale mutagenesis methods, such as Tn5 transposon insertion library construction, have not yet been well established for this organism.
To address these technical limitations, a toxin-based counter-selection system was developed, and a robust Tn5 mutagenesis screening workflow was established for P. brasiliense. Compared to traditional sucrose-based methods, this toxin-based approach offers distinct advantages, including enhanced selection stringency, improved specificity in identifying double-crossover events, and the elimination of confounding osmotic stress. Similar vmi480 toxin-antitoxin-based systems have been successfully implemented to overcome selection barriers in Vibrio species7. The established methodology is highly applicable to the high-throughput functional characterization of unknown genes and provides a versatile platform that can be adapted to other related soft-rot Pectobacteriaceae.