Dataset Information

Minimal PAM specificity of a highly similar SpCas9 ortholog.

ABSTRACT: RNA-guided DNA endonucleases of the CRISPR-Cas system are widely used for genome engineering and thus have numerous applications in a wide variety of fields. CRISPR endonucleases, however, require a specific protospacer adjacent motif (PAM) flanking the target site, thus constraining their targetable sequence space. In this study, we demonstrate the natural PAM plasticity of a highly similar, yet previously uncharacterized, Cas9 from Streptococcus canis (ScCas9) through rational manipulation of distinguishing motif insertions. To this end, we report affinity to minimal 5'-NNG-3' PAM sequences and demonstrate the accurate editing capabilities of the ortholog in both bacterial and human cells. Last, we build an automated bioinformatics pipeline, the Search for PAMs by ALignment Of Targets (SPAMALOT), which further explores the microbial PAM diversity of otherwise overlooked Streptococcus Cas9 orthologs. Our results establish that ScCas9 can be used both as an alternative genome editing tool and as a functional platform to discover novel Streptococcus PAM specificities.

SUBMITTER: Chatterjee P

PROVIDER: S-EPMC6200363 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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Minimal PAM specificity of a highly similar SpCas9 ortholog.

Chatterjee Pranam P Jakimo Noah N Jacobson Joseph M JM

Science advances 20181024 10

RNA-guided DNA endonucleases of the CRISPR-Cas system are widely used for genome engineering and thus have numerous applications in a wide variety of fields. CRISPR endonucleases, however, require a specific protospacer adjacent motif (PAM) flanking the target site, thus constraining their targetable sequence space. In this study, we demonstrate the natural PAM plasticity of a highly similar, yet previously uncharacterized, Cas9 from <i>Streptococcus canis</i> (ScCas9) through rational manipulat ...[more]

PMID: 30397647

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Project description:BackgroundOrthologs (genes that have diverged after a speciation event) tend to have similar function, and so their prediction has become an important component of comparative genomics and genome annotation. The gold standard phylogenetic analysis approach of comparing available organismal phylogeny to gene phylogeny is not easily automated for genome-wide analysis; therefore, ortholog prediction for large genome-scale datasets is typically performed using a reciprocal-best-BLAST-hits (RBH) approach. One problem with RBH is that it will incorrectly predict a paralog as an ortholog when incomplete genome sequences or gene loss is involved. In addition, there is an increasing interest in identifying orthologs most likely to have retained similar function.ResultsTo address these issues, we present here a high-throughput computational method named Ortholuge that further evaluates previously predicted orthologs (including those predicted using an RBH-based approach) - identifying which orthologs most closely reflect species divergence and may more likely have similar function. Ortholuge analyzes phylogenetic distance ratios involving two comparison species and an outgroup species, noting cases where relative gene divergence is atypical. It also identifies some cases of gene duplication after species divergence. Through simulations of incomplete genome data/gene loss, we show that the vast majority of genes falsely predicted as orthologs by an RBH-based method can be identified. Ortholuge was then used to estimate the number of false-positives (predominantly paralogs) in selected RBH-predicted ortholog datasets, identifying approximately 10% paralogs in a eukaryotic data set (mouse-rat comparison) and 5% in a bacterial data set (Pseudomonas putida - Pseudomonas syringae species comparison). Higher quality (more precise) datasets of orthologs, which we term "ssd-orthologs" (supporting-species-divergence-orthologs), were also constructed. These datasets, as well as Ortholuge software that may be used to characterize other species' datasets, are available at http://www.pathogenomics.ca/ortholuge/ (software under GNU General Public License).ConclusionThe Ortholuge method reported here appears to significantly improve the specificity (precision) of high-throughput ortholog prediction for both bacterial and eukaryotic species. This method, and its associated software, will aid those performing various comparative genomics-based analyses, such as the prediction of conserved regulatory elements upstream of orthologous genes.

Dataset Information

Minimal PAM specificity of a highly similar SpCas9 ortholog.

Publications

Minimal PAM specificity of a highly similar SpCas9 ortholog.

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