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      VvEPFL9-1 Knock-Out via CRISPR/Cas9 Reduces Stomatal Density in Grapevine

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          Abstract

          Epidermal Patterning Factor Like 9 (EPFL9), also known as STOMAGEN, is a cysteine-rich peptide that induces stomata formation in vascular plants, acting antagonistically to other epidermal patterning factors (EPF1, EPF2). In grapevine there are two EPFL9 genes, EPFL9-1 and EPFL9-2 sharing 82% identity at protein level in the mature functional C-terminal domain. In this study, CRISPR/Cas9 system was applied to functionally characterize VvEPFL9-1 in ‘Sugraone’, a highly transformable genotype. A set of plants, regenerated after gene transfer in embryogenic calli via Agrobacterium tumefaciens, were selected for evaluation. For many lines, the editing profile in the target site displayed a range of mutations mainly causing frameshift in the coding sequence or affecting the second cysteine residue. The analysis of stomata density revealed that in edited plants the number of stomata was significantly reduced compared to control, demonstrating for the first time the role of EPFL9 in a perennial fruit crop. Three edited lines were then assessed for growth, photosynthesis, stomatal conductance, and water use efficiency in experiments carried out at different environmental conditions. Intrinsic water-use efficiency was improved in edited lines compared to control, indicating possible advantages in reducing stomatal density under future environmental drier scenarios. Our results show the potential of manipulating stomatal density for optimizing grapevine adaptation under changing climate conditions.

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          MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

          The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation of Mega to enable cross-platform use on Microsoft Windows and Linux operating systems. Mega X does not require virtualization or emulation software and provides a uniform user experience across platforms. Mega X has additionally been upgraded to use multiple computing cores for many molecular evolutionary analyses. Mega X is available in two interfaces (graphical and command line) and can be downloaded from www.megasoftware.net free of charge.
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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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              SignalP 5.0 improves signal peptide predictions using deep neural networks

              Signal peptides (SPs) are short amino acid sequences in the amino terminus of many newly synthesized proteins that target proteins into, or across, membranes. Bioinformatic tools can predict SPs from amino acid sequences, but most cannot distinguish between various types of signal peptides. We present a deep neural network-based approach that improves SP prediction across all domains of life and distinguishes between three types of prokaryotic SPs.
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                Author and article information

                Contributors
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                17 May 2022
                2022
                : 13
                : 878001
                Affiliations
                [1] 1Research and Innovation Centre, Fondazione Edmund Mach , San Michele all’Adige, Italy
                [2] 2Global Change Research Group, San Diego State University , San Diego, CA, United States
                [3] 3Department of Viticulture and Enology, University of California Davis , Davis, CA, United States
                [4] 4Department of Geography, University of Exeter , Exeter, United Kingdom
                Author notes

                Edited by: Giorgio Gambino, Institute for Sustainable Plant Protection (CNR), Italy

                Reviewed by: Claudio Lovisolo, University of Turin, Italy; Fatemeh Maghuly, University of Natural Resources and Life Sciences Vienna, Austria

                *Correspondence: Michele Faralli, michele.faralli@ 123456unitn.it

                Present address: Michele Faralli, Center Agriculture Food Environment (C3A), University of Trento, San Michele all’Adige, Italy

                This article was submitted to Plant Breeding, a section of the journal Frontiers in Plant Science

                Article
                10.3389/fpls.2022.878001
                9152544
                35656017
                8131eb70-4452-4a06-80e9-efb6682e644c
                Copyright © 2022 Clemens, Faralli, Lagreze, Bontempo, Piazza, Varotto, Malnoy, Oechel, Rizzoli and Dalla Costa.

                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
                : 17 February 2022
                : 11 April 2022
                Page count
                Figures: 7, Tables: 0, Equations: 0, References: 93, Pages: 17, Words: 12264
                Funding
                Funded by: Autonomous Province of Trento , doi 10.13039/501100009890;
                Categories
                Plant Science
                Original Research

                Plant science & Botany
                vitis vinifera,stomata,genome editing,climate change,water-use efficiency
                Plant science & Botany
                vitis vinifera, stomata, genome editing, climate change, water-use efficiency

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