High efficiency CRISPR delivery to microbiomes

Combining CRISPR nucleases with conjugative plasmids yields an efficient delivery system that could modulate microbial communities
Published in Microbiology
High efficiency CRISPR delivery to microbiomes
Like

Share this post

Choose a social network to share with, or copy the URL to share elsewhere

This is a representation of how your post may appear on social media. The actual post will vary between social networks

One concept that I learned early in my education as a molecular biologist was that of cis versus trans. cis-acting factors are located on the same DNA (or RNA) molecule whereas trans-acting factors are located on different molecules. Two events conspired to make this basic concept a critical component of a fantastic research collaboration.

First, driven by talented PhD students and my colleague Greg Gloor, we developed and tested a number of gene-editing nucleases, including a modified CRISPR/Cas9 enzyme called TevCas9. Second, and around the same time, Bogumil Karas was recruited to our department as a new faculty member in the area of Synthetic Biology. One of Bogumil's contributions was to show that bacterial conjugative systems could be used to deliver very large plasmids (>100 kbps) to a variety of prokaryotic and eukaryotic microorganisms.

Putting the two technologies together seemed like a great idea. Why not use the conjugative plasmids to deliver the TevCas9 nuclease to microbial communities as a means to modulate species abundance? A quick PubMed search revealed that we were not the only group with the idea. At least one other study had combined CRISPR and conjugative plasmids. Crucially, they had tested their system using what we came to call the trans setup where the CRISPR nuclease and conjugation machinery were separated on different molecules. The trans setup was able to deliver CRISPR to target bacterial but at a frequency too low to be useful. This strategy appears to have been abandoned. Our idea evolved. What if the CRISPR and conjugation machinery were on the same DNA molecule? A cis setup.

Model of conjugative spread of cis and trans plasmids

Ureka! The idea worked. Thomas Hamilton and Gregory Pellegrino, PhD students in my group, showed that by combining TevCas9 and conjugative proteins on the same conjugative plasmid in a cis setup, conjugation frequencies reached 100% in culture conditions that mimicked biofilms. Our data support the idea that recipient bacteria who receive the cis-conjugative plasmids become subsequent donors for additional rounds of conjugation, leading to exponential spread of the cis plasmid through bacterial populations (Figure 1).

Why is this important? Molecular tools to modulate abundance of specific bacteria in microbiomes are becoming more relevant as antibiotic resistance becomes more prevalent. Conjugative plasmids have evolved to spread efficiently in biofilms and some can have very broad host ranges. These plasmids are well suited as molecular 'delivery trucks' with large cargo capacities. CRISPR is not the only molecular tool that can be delivered. Other types of nucleases, protein toxins, RNA-based regulatory systems, or even gene clusters to modulate metabolic capacity could all be delivered by conjugative systems. Conjugative plasmids offer a different strategy than the highly-specific phage-based systems that may be better suited to planktonic conditions where conjugation is less efficient. It could be that a combination of conjugative and phage-based systems would be appropriate. Who knows? Perhaps other concepts I learned as an undergraduate student will stimulate the next set of ideas to be tested.




Please sign in or register for FREE

If you are a registered user on Research Communities by Springer Nature, please sign in

Follow the Topic

Microbiology
Life Sciences > Biological Sciences > Microbiology

Related Collections

With collections, you can get published faster and increase your visibility.

Applications of Artificial Intelligence in Cancer

In this cross-journal collection between Nature Communications, npj Digital Medicine, npj Precision Oncology, Communications Medicine, Communications Biology, and Scientific Reports, we invite submissions with a focus on artificial intelligence in cancer.

Publishing Model: Open Access

Deadline: Jun 30, 2025

Biology of rare genetic disorders

This cross-journal Collection between Nature Communications, Communications Biology, npj Genomic Medicine and Scientific Reports brings together research articles that provide new insights into the biology of rare genetic disorders, also known as Mendelian or monogenic disorders.

Publishing Model: Open Access

Deadline: Apr 30, 2025