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      Dissection of the epoxyjanthitrem pathway in Epichloë sp. LpTG-3 strain AR37 by CRISPR gene editing

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          Abstract

          Epichloë festucae var. lolii and Epichloë sp. LpTG-3 are filamentous fungal endophytes of perennial ryegrass ( Lolium perenne) that have a substantial impact on New Zealand’s agricultural economy by conferring biotic advantages to the host grass. Overall, Epichloë endophytes contribute NZ$200 million to the economy annually, with strain AR37 estimated to contribute NZ$3.6 billion to the New Zealand economy over a 20-year period. This strain produces secondary metabolites, including epoxyjanthitrems, which are a class of indole diterpenes, associated with the observed effects of AR37 on livestock and insect pests. Until very recently, AR37 was intractable to genetic modification but this has changed with the application of CRISPR-Cas9 based gene editing techniques. In this paper, gene inactivation by CRISPR-Cas9 was used to deconvolute the genetic basis for epoxyjanthitrem biosynthesis, including creating an AR37 strain that has been edited to remove the biosynthesis of all indole diterpenes. We show that gene editing of Epichloë can be achieved without off-target events or introduction of foreign DNA (footprint-less) through an AMA1-based plasmid that simultaneously expresses the CRISPR-Cas9 system and selectable marker. Genetic modification events in these transformants were investigated through genome sequencing and in planta chemistry.

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          Most cited references56

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          The Sequence Alignment/Map format and SAMtools

          Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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            A programmable dual-RNA-guided DNA endonuclease in adaptive bacterial immunity.

            Clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated (Cas) systems provide bacteria and archaea with adaptive immunity against viruses and plasmids by using CRISPR RNAs (crRNAs) to guide the silencing of invading nucleic acids. We show here that in a subset of these systems, the mature crRNA that is base-paired to trans-activating crRNA (tracrRNA) forms a two-RNA structure that directs the CRISPR-associated protein Cas9 to introduce double-stranded (ds) breaks in target DNA. At sites complementary to the crRNA-guide sequence, the Cas9 HNH nuclease domain cleaves the complementary strand, whereas the Cas9 RuvC-like domain cleaves the noncomplementary strand. The dual-tracrRNA:crRNA, when engineered as a single RNA chimera, also directs sequence-specific Cas9 dsDNA cleavage. Our study reveals a family of endonucleases that use dual-RNAs for site-specific DNA cleavage and highlights the potential to exploit the system for RNA-programmable genome editing.
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              Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM

              Heng Li (2013)
              Summary: BWA-MEM is a new alignment algorithm for aligning sequence reads or long query sequences against a large reference genome such as human. It automatically chooses between local and end-to-end alignments, supports paired-end reads and performs chimeric alignment. The algorithm is robust to sequencing errors and applicable to a wide range of sequence lengths from 70bp to a few megabases. For mapping 100bp sequences, BWA-MEM shows better performance than several state-of-art read aligners to date. Availability and implementation: BWA-MEM is implemented as a component of BWA, which is available at http://github.com/lh3/bwa. Contact: hengli@broadinstitute.org 3 pages and 1 color figure
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                Author and article information

                Contributors
                Journal
                Front Fungal Biol
                Front Fungal Biol
                Front. Fungal Biol.
                Frontiers in Fungal Biology
                Frontiers Media S.A.
                2673-6128
                10 August 2022
                2022
                : 3
                : 944234
                Affiliations
                [1] Grasslands Research Centre, AgResearch , Palmerston North, New Zealand
                Author notes

                Edited by: Scott E. Baker, Pacific Northwest National Laboratory (DOE), United States

                Reviewed by: Jun-ichi Maruyama, The University of Tokyo, Japan; Mao Peng, Westerdijk Fungal Biodiversity Institute, Netherlands

                *Correspondence: Linda J. Johnson, Linda.Johnson@ 123456agresearch.co.nz

                †These authors have contributed equally to this work and share first authorship

                This article was submitted to Fungal Biotechnology, a section of the journal Frontiers in Fungal Biology

                Article
                10.3389/ffunb.2022.944234
                10512260
                37746172
                79156b5c-9aba-4d89-b557-2721cb71ebc3
                Copyright © 2022 Miller, Hudson, Johnson, Singh, Mace, Forester, Maclean, Voisey and Johnson

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 14 May 2022
                : 18 July 2022
                Page count
                Figures: 3, Tables: 2, Equations: 0, References: 57, Pages: 15, Words: 8533
                Funding
                Funded by: Ministry of Business, Innovation and Employment , doi 10.13039/501100003524;
                Funded by: Grasslanz Technology Limited , doi 10.13039/100012578;
                Funded by: PGG Wrightson Seeds , doi 10.13039/100012585;
                Categories
                Fungal Biology
                Original Research

                secondary metabolite,gene editing,endophyte,footprint-less,mass spectrometry,bioinformatics,off-targets,indole diterpene

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