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Cas13-induced cellular dormancy prevents the rise of CRISPR-resistant bacteriophage.

ABSTRACT: Clustered, regularly interspaced, short palindromic repeat (CRISPR) loci in prokaryotes are composed of 30-40-base-pair repeats separated by equally short sequences of plasmid and bacteriophage origin known as spacers1-3. These loci are transcribed and processed into short CRISPR RNAs (crRNAs) that are used as guides by CRISPR-associated (Cas) nucleases to recognize and destroy complementary sequences (known as protospacers) in foreign nucleic acids4,5. In contrast to most Cas nucleases, which destroy invader DNA4-7, the type VI effector nuclease Cas13 uses RNA guides to locate complementary transcripts and catalyse both sequence-specific cis- and non-specific trans-RNA cleavage8. Although it has been hypothesized that Cas13 naturally defends against RNA phages8, type VI spacer sequences have exclusively been found to match the genomes of double-stranded DNA phages9,10, suggesting that Cas13 can provide immunity against these invaders. However, whether and how Cas13 uses its cis- and/or trans-RNA cleavage activities to defend against double-stranded DNA phages is not understood. Here we show that trans-cleavage of transcripts halts the growth of the host cell and is sufficient to abort the infectious cycle. This depletes the phage population and provides herd immunity to uninfected bacteria. Phages that harbour target mutations, which easily evade DNA-targeting CRISPR systems11-13, are also neutralized when Cas13 is activated by wild-type phages. Thus, by acting on the host rather than directly targeting the virus, type VI CRISPR systems not only provide robust defence against DNA phages but also prevent outbreaks of CRISPR-resistant phage.

SUBMITTER: Meeske AJ

PROVIDER: S-EPMC6570424 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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Cas13-induced cellular dormancy prevents the rise of CRISPR-resistant bacteriophage.

Meeske Alexander J AJ Nakandakari-Higa Sandra S Marraffini Luciano A LA

Nature 20190529 7760

Clustered, regularly interspaced, short palindromic repeat (CRISPR) loci in prokaryotes are composed of 30-40-base-pair repeats separated by equally short sequences of plasmid and bacteriophage origin known as spacers<sup>1-3</sup>. These loci are transcribed and processed into short CRISPR RNAs (crRNAs) that are used as guides by CRISPR-associated (Cas) nucleases to recognize and destroy complementary sequences (known as protospacers) in foreign nucleic acids<sup>4,5</sup>. In contrast to most ...[more]

PMID: 31142834

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Project description:BackgroundRecent discovery of the gene editing system - CRISPR (Clustered Regularly Interspersed Short Palindromic Repeats) associated proteins (Cas), has resulted in its widespread use for improved understanding of a variety of biological systems. Cas13, a lesser studied Cas protein, has been repurposed to allow for efficient and precise editing of RNA molecules. The Cas13 system utilizes base complementarity between a crRNA/sgRNA (crispr RNA or single guide RNA) and a target RNA transcript, to preferentially bind to only the target transcript. Unlike targeting the upstream regulatory regions of protein coding genes on the genome, the transcriptome is significantly more redundant, leading to many transcripts having wide stretches of identical nucleotide sequences. Transcripts also exhibit complex three-dimensional structures and interact with an array of RBPs (RNA Binding Proteins), both of which may impact the effectiveness of transcript depletion of target sequences. However, our understanding of the features and corresponding methods which can predict whether a specific sgRNA will effectively knockdown a transcript is very limited.ResultsHere we present a novel machine learning and computational tool, CASowary, to predict the efficacy of a sgRNA. We used publicly available RNA knockdown data from Cas13 characterization experiments for 555 sgRNAs targeting the transcriptome in HEK293 cells, in conjunction with transcriptome-wide protein occupancy information. Our model utilizes a Decision Tree architecture with a set of 112 sequence and target availability features, to classify sgRNA efficacy into one of four classes, based upon expected level of target transcript knockdown. After accounting for noise in the training data set, the noise-normalized accuracy exceeds 70%. Additionally, highly effective sgRNA predictions have been experimentally validated using an independent RNA targeting Cas system - CIRTS, confirming the robustness and reproducibility of our model's sgRNA predictions. Utilizing transcriptome wide protein occupancy map generated using POP-seq in HeLa cells against publicly available protein-RNA interaction map in Hek293 cells, we show that CASowary can predict high quality guides for numerous transcripts in a cell line specific manner.ConclusionsApplication of CASowary to whole transcriptomes should enable rapid deployment of CRISPR/Cas13 systems, facilitating the development of therapeutic interventions linked with aberrations in RNA regulatory processes.

Dataset Information

Cas13-induced cellular dormancy prevents the rise of CRISPR-resistant bacteriophage.

Publications

Cas13-induced cellular dormancy prevents the rise of CRISPR-resistant bacteriophage.

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