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      A catalogue of biochemically diverse CRISPR-Cas9 orthologs

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          Abstract

          Bacterial Cas9 nucleases from type II CRISPR-Cas antiviral defence systems have been repurposed as genome editing tools. Although these proteins are found in many microbes, only a handful of variants are used for these applications. Here, we use bioinformatic and biochemical analyses to explore this largely uncharacterized diversity. We apply cell-free biochemical screens to assess the protospacer adjacent motif (PAM) and guide RNA (gRNA) requirements of 79 Cas9 proteins, thus identifying at least 7 distinct gRNA classes and 50 different PAM sequence requirements. PAM recognition spans the entire spectrum of T-, A-, C-, and G-rich nucleotides, from single nucleotide recognition to sequence strings longer than 4 nucleotides. Characterization of a subset of Cas9 orthologs using purified components reveals additional biochemical diversity, including both narrow and broad ranges of temperature dependence, staggered-end DNA target cleavage, and a requirement for long stretches of homology between gRNA and DNA target. Our results expand the available toolset of RNA-programmable CRISPR-associated nucleases.

          Abstract

          A few bacterial Cas9 nucleases have been repurposed as genome editing tools. Here, the authors use bioinformatic and biochemical analyses to characterize 79 Cas9 proteins, revealing substantial functional diversity and thus expanding the available toolbox of RNA-programmable CRISPR-associated nucleases.

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          MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

          We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
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            Basic local alignment search tool.

            A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straightforward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.
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              MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.

              We present the latest version of the Molecular Evolutionary Genetics Analysis (Mega) software, which contains many sophisticated methods and tools for phylogenomics and phylomedicine. In this major upgrade, Mega has been optimized for use on 64-bit computing systems for analyzing larger datasets. Researchers can now explore and analyze tens of thousands of sequences in Mega The new version also provides an advanced wizard for building timetrees and includes a new functionality to automatically predict gene duplication events in gene family trees. The 64-bit Mega is made available in two interfaces: graphical and command line. The graphical user interface (GUI) is a native Microsoft Windows application that can also be used on Mac OS X. The command line Mega is available as native applications for Windows, Linux, and Mac OS X. They are intended for use in high-throughput and scripted analysis. Both versions are available from www.megasoftware.net free of charge.
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                Author and article information

                Contributors
                josh.young@corteva.com
                robb@neb.com
                siksnys@ibt.lt
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                2 November 2020
                2 November 2020
                2020
                : 11
                : 5512
                Affiliations
                [1 ]CasZyme, Vilnius, LT-10257 Lithuania
                [2 ]Department of Molecular Engineering, Corteva Agriscience™, Johnston, IA 50131 USA
                [3 ]GRID grid.6441.7, ISNI 0000 0001 2243 2806, Institute of Biotechnology, , Vilnius University, ; Vilnius, LT-10257 Lithuania
                [4 ]GRID grid.34421.30, ISNI 0000 0004 1936 7312, Department of Agricultural and Biosystems Engineering, , Iowa State University, ; Ames, IA 50011 USA
                [5 ]GRID grid.273406.4, ISNI 0000 0004 0376 1796, New England Biolabs, ; Ipswich, MA 01938 USA
                [6 ]Present Address: Inari Agriculture, West Lafayette, IN 47906 USA
                [7 ]Present Address: Genus plc, Deforest, WI 53532 USA
                Author information
                http://orcid.org/0000-0003-2509-9054
                http://orcid.org/0000-0002-6237-8020
                http://orcid.org/0000-0002-0685-2947
                http://orcid.org/0000-0001-6135-8549
                http://orcid.org/0000-0001-6370-9023
                http://orcid.org/0000-0002-6106-5356
                http://orcid.org/0000-0001-7500-9913
                http://orcid.org/0000-0003-3696-4541
                http://orcid.org/0000-0002-2382-2256
                http://orcid.org/0000-0003-1983-2096
                Article
                19344
                10.1038/s41467-020-19344-1
                7606464
                33139742
                2e14b89d-8637-42bf-bfa9-1f9f2f0e7d2e
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 26 May 2020
                : 2 October 2020
                Categories
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                © The Author(s) 2020

                Uncategorized
                hydrolases,biotechnology,bacteria,crispr-cas systems
                Uncategorized
                hydrolases, biotechnology, bacteria, crispr-cas systems

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