Researchers at the Helmholtz Institute for RNA-based Infection Research (HIRI), in collaboration with Julius-Maximilians-Universität Würzburg and North Carolina State University have developed an innovative approach that addresses a long-standing challenge in bacterial genetic engineering: the efficient transformation of DNA into bacterial cells.

Historically, genetically modifying bacteria has been limited by their natural defense mechanisms, particularly restriction-modification systems that destroy foreign DNA lacking specific methylation patterns.

IMPRINT (Imitating Methylation Patterns Rapidly IN TXTL) overcomes this obstacle by using a cell-free transcription-translation (TXTL) system to express a bacterium's specific DNA methyltransferases. These enzymes then methylate DNA before its introduction into the target bacterium, mimicking the cell's natural patterns and enhancing transformation efficiency.

Search Antibodies
Search Now Use our Antibody Search Tool to find the right antibody for your research. Filter
by Type, Application, Reactivity, Host, Clonality, Conjugate/Tag, and Isotype.

According to Chase Beisel, senior author of the paper published in Molecular Cell, "IMPRINT represents an entirely new use of TXTL. While TXTL is widely employed for various purposes, including producing hard-to-express proteins or as affordable diagnostic tools, it has not previously been utilized to overcome barriers to DNA transformation in bacteria."

The method offers significant advantages over existing techniques. Justin M. Vento, the study's first author, adds: "Current approaches require either laboriously purifying individual DNA methyltransferases or expressing them in E. coli, which often proves cytotoxic. These methods can take days to weeks and only reconstitute a fraction of the bacterium's methylation pattern."

IMPRINT has demonstrated success with diverse DNA methyltransferases and complex methylation patterns, enhancing DNA transformation in both pathogenic and probiotic bacteria. This breakthrough opens up new possibilities for studying and engineering a wider range of bacterial strains, including those previously resistant to genetic manipulation.

The potential applications are vast, ranging from developing new antibiotics and cell-based therapies to advancing research on virulent or antibiotic-resistant strains. As Beisel concludes, "We are hopeful that, by using IMPRINT, researchers will be able to focus on the most important bacterial strains, such as those with increased virulence or antibiotic resistance."