CRISPR-Cas systems are widely heralded as a new generation of genetic tools. But development of these tools requires researchers to identify the protospacer-adjacent motifs (PAMs) that unlock each system’s functionality. A new set of techniques expedites PAM identification — and early testing finds that many CRISPR-Cas systems actually have multiple PAMs of varying strength.
CRISPR-Cas systems protect bacteria from invaders such as viruses. They do this by creating small strands of RNA that match DNA sequences specific to a given invader. When those CRISPR RNAs find a match, they unleash proteins that chop up the invader’s DNA, preventing it from replicating. However, the first step in the process isn’t comparing the RNA to target DNA. The first step involves PAM recognition and binding.
PAMs are short genetic sequences adjacent to the target DNA in viruses or other invaders. When the protein in a CRISPR-Cas system identifies a PAM, that identification tells the protein to bind to that DNA and begin comparing the adjacent DNA sequence to the CRISPR RNA. If the DNA and RNA match, then the protein cleaves the target DNA.
“For researchers to make use of a CRISPR-Cas system for gene editing, gene regulation, or other techniques, you first need to identify the relevant PAM sequences that trigger that specific CRISPR-protein combination,” says Chase Beisel, an assistant professor of chemical and biomolecular engineering at NC State University and a senior author of a paper describing the work.
“For example, the CRISPR-Cas9 tool derived from Streptococcus pyogenes has a different PAM than the CRISPR-Cas9 tool derived from Staphylococcus aureus,” Beisel says. “There are thousands of potential CRISPR tools out there; to make use of them we need an efficient way to identify their PAMs. And we think we’ve developed tools to do that.”
PAM identification is tricky because it is difficult to predict which genetic sequences function as PAMs for a given CRISPR-Cas system. And the genetic sequences that function as PAMs vary widely, even between closely related CRISPR-Cas systems. For example, the PAM that triggers the Cas9 protein from S. pyogenes consists of only three nucleotides, but the PAM that triggers the Cas9 protein from S. aureus contains six nucleotides — none of which overlap with those from S. pyogenes.
“To address this challenge, we developed a tool called PAM-SCANR,” says Ryan Leenay, a graduate student in Beisel’s lab and lead author on the paper. “PAM-SCANR allows us to identify PAM sequences for any given CRISPR-protein combination.”
Here’s how PAM-SCANR works. First, researchers start with a CRISPR-Cas system they want to find the PAM for. The relevant CRISPR-protein pair is then used as the reactive agent in a high-throughput screen that exposes the CRISPR-protein pair to many different gene sequences simultaneously. The gene sequences are part of a genetic construct engineered to light up — they literally fluoresce — when the CRISPR-protein pair binds to them. And that can only happen if a functional PAM is present.
“One thing that makes this tool unique is that it could be used to screen and identify PAMs across a wide range of CRISPR-Cas systems,” Leenay says.
The researchers tested PAM-SCANR in five CRISPR-Cas systems across three of the four CRISPR types that are known to rely on PAMs to function. Different CRISPR types use different proteins and rely on different mechanisms of action.
The researchers also developed a tool called a PAM wheel that helps researchers visualize the output of PAM-SCANR screens. It also allows researchers to see if some PAMs are better than others and by how much.
This is important because, in testing PAM-SCANR, the researchers found that there can be multiple PAMs for a given CRISPR-Cas system — which was a surprise — and that some PAMs trigger a much stronger response than others.
“When we first discovered PAMs nearly a decade ago, we initially thought that only one PAM worked,” says Rodolphe Barrangou, an associate professor in NC State’s Department of Food, Bioprocessing and Nutrition Sciences and a senior author on the manuscript. “However, our tools revealed there can be multiple PAMs for a single CRISPR-Cas system, and some PAMs clearly performed better than others as part of CRISPR recognizing its target DNA.”
The researchers are already using PAM-SCANR to identify PAMs for CRISPR-Cas systems that may be the next generation of CRISPR tools. They’re also working to determine how different PAMs for a specific CRISPR-Cas system may affect that system’s effectiveness in any given application.
“For example, we want to know if the variability among PAMs has implications for genome editing and our ability to predict off-target sites — places a CRISPR-Cas system might attack other than the target DNA,” Beisel says.
The paper, “Identifying and Visualizing Functional PAM Diversity across CRISPR-Cas Systems,” was published March 31 in the journal Molecular Cell. Co-senior author of the paper is Rodolphe Barrangou, an associate professor of food science at NC State. Lead author of the paper is Ryan Leenay, a Ph.D. student at NC State. The paper was co-authored by Kenneth Maksimchuk, a former postdoctoral researcher at NC State; Rebecca Slotkowski and Roma Agrawal, undergraduates at NC State; and Ahmed Gomaa and Alexandra Briner, Ph.D. students at NC State. The work was supported by the National Science Foundation under grants CBET-1403135 and MCB-1452902; and by the National Institutes of Health under grant 5T32GM008776-15.
Note to Editors: The study abstract follows.
“Identifying and Visualizing Functional PAM Diversity across CRISPR-Cas Systems”
Authors: Ryan T. Leenay, Kenneth R. Maksimchuk, Rebecca A. Slotkowski, Roma N. Agrawal, Ahmed A. Gomaa, Alexandra E. Briner, Rodolphe Barrangou and Chase L. Beisel, North Carolina State University
Published: March 31, Molecular Cell
Abstract: CRISPR-Cas adaptive immune systems in prokaryotes boast a diversity of protein families and mechanisms of action, where most systems rely on protospacer-adjacent motifs (PAMs) for DNA target recognition. Here, we developed an in vivo, positive, and tunable screen termed PAM-SCANR (PAM screen achieved by NOT-gate repression) to elucidate functional PAMs as well as an interactive visualization scheme termed the PAM wheel to convey individual PAM sequences and their activities. PAM-SCANR and the PAM wheel identified known functional PAMs while revealing complex sequence-activity landscapes for the Bacillus halodurans I-C (Cascade), Escherichia coli I-E (Cascade), Streptococcus thermophilus II-A CRISPR1 (Cas9), and Francisella novicida V-A (Cpf1) systems. The PAM wheel was also readily applicable to existing high-throughput screens and garnered insights into SpyCas9 and SauCas9 PAM diversity. These tools offer powerful means of elucidating and visualizing functional PAMs toward accelerating our ability to understand and exploit the multitude of CRISPR-Cas systems in nature.