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      Improved plant cytosine base editors with high editing activity, purity, and specificity

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          Summary

          Cytosine base editors (CBEs) are great additions to the expanding genome editing toolbox. To improve C‐to‐T base editing in plants, we first compared seven cytidine deaminases in the BE3‐like configuration in rice. We found A3A/Y130F‐CBE_V01 resulted in the highest C‐to‐T base editing efficiency in both rice and Arabidopsis. Furthermore, we demonstrated this A3A/Y130F cytidine deaminase could be used to improve iSpyMacCas9‐mediated C‐to‐T base editing at A‐rich PAMs. To showcase its applications, we first applied A3A/Y130F‐CBE_V01 for multiplexed editing to generate microRNA‐resistant mRNA transcripts as well as pre‐mature stop codons in multiple seed trait genes. In addition, we harnessed A3A/Y130F‐CBE_V01 for efficient artificial evolution of novel ALS and EPSPS alleles which conferred herbicide resistance in rice. To further improve C‐to‐T base editing, multiple CBE_V02, CBE_V03 and CBE_V04 systems were developed and tested in rice protoplasts. The CBE_V04 systems were found to have improved editing activity and purity with focal recruitment of more uracil DNA glycosylase inhibitors (UGIs) by the engineered single guide RNA 2.0 scaffold. Finally, we used whole‐genome sequencing (WGS) to compare six CBE_V01 systems and four CBE_V04 systems for genome‐wide off‐target effects in rice. Different levels of cytidine deaminase‐dependent and sgRNA‐independent off‐target effects were indeed revealed by WGS among edited lines by these CBE systems. We also investigated genome‐wide sgRNA‐dependent off‐target effects by different CBEs in rice. This comprehensive study compared 21 different CBE systems, and benchmarked PmCDA1‐CBE_V04 and A3A/Y130F‐CBE_V04 as next‐generation plant CBEs with high editing efficiency, purity, and specificity.

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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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            Fast and accurate short read alignment with Burrows–Wheeler transform

            Motivation: The enormous amount of short reads generated by the new DNA sequencing technologies call for the development of fast and accurate read alignment programs. A first generation of hash table-based methods has been developed, including MAQ, which is accurate, feature rich and fast enough to align short reads from a single individual. However, MAQ does not support gapped alignment for single-end reads, which makes it unsuitable for alignment of longer reads where indels may occur frequently. The speed of MAQ is also a concern when the alignment is scaled up to the resequencing of hundreds of individuals. Results: We implemented Burrows-Wheeler Alignment tool (BWA), a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps. BWA supports both base space reads, e.g. from Illumina sequencing machines, and color space reads from AB SOLiD machines. Evaluations on both simulated and real data suggest that BWA is ∼10–20× faster than MAQ, while achieving similar accuracy. In addition, BWA outputs alignment in the new standard SAM (Sequence Alignment/Map) format. Variant calling and other downstream analyses after the alignment can be achieved with the open source SAMtools software package. Availability: http://maq.sourceforge.net Contact: rd@sanger.ac.uk
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              BEDTools: a flexible suite of utilities for comparing genomic features

              Motivation: Testing for correlations between different sets of genomic features is a fundamental task in genomics research. However, searching for overlaps between features with existing web-based methods is complicated by the massive datasets that are routinely produced with current sequencing technologies. Fast and flexible tools are therefore required to ask complex questions of these data in an efficient manner. Results: This article introduces a new software suite for the comparison, manipulation and annotation of genomic features in Browser Extensible Data (BED) and General Feature Format (GFF) format. BEDTools also supports the comparison of sequence alignments in BAM format to both BED and GFF features. The tools are extremely efficient and allow the user to compare large datasets (e.g. next-generation sequencing data) with both public and custom genome annotation tracks. BEDTools can be combined with one another as well as with standard UNIX commands, thus facilitating routine genomics tasks as well as pipelines that can quickly answer intricate questions of large genomic datasets. Availability and implementation: BEDTools was written in C++. Source code and a comprehensive user manual are freely available at http://code.google.com/p/bedtools Contact: aaronquinlan@gmail.com; imh4y@virginia.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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                Author and article information

                Contributors
                zhangtao@yzu.edu.cn
                yiping@umd.edu
                zhangyong916@uestc.edu.cn
                Journal
                Plant Biotechnol J
                Plant Biotechnol J
                10.1111/(ISSN)1467-7652
                PBI
                Plant Biotechnology Journal
                John Wiley and Sons Inc. (Hoboken )
                1467-7644
                1467-7652
                07 June 2021
                October 2021
                : 19
                : 10 ( doiID: 10.1111/pbi.v19.10 )
                : 2052-2068
                Affiliations
                [ 1 ] Department of Biotechnology School of Life Science and Technology Center for Informational Biology University of Electronic Science and Technology of China Chengdu China
                [ 2 ] Department of Plant Science and Landscape Architecture University of Maryland College Park Maryland USA
                [ 3 ] Jiangsu Key Laboratory of Crop Genetics and Physiology/ Key Laboratory of Plant Functional Genomics of the Ministry of Education/ Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding Agricultural College of Yangzhou University Yangzhou China
                [ 4 ] Jiangsu Co‐Innovation Center for Modern Production Technology of Grain Crops Yangzhou University Yangzhou China
                [ 5 ] Food Crop Institute Hubei Academy of Agricultural Sciences Wuhan Hubei China
                [ 6 ] Joint International Research Laboratory of Agriculture and Agri‐Product Safety The Ministry of Education of China Yangzhou University Yangzhou China
                [ 7 ] Institute for Bioscience and Biotechnology Research University of Maryland Rockville Maryland USA
                Author notes
                [*] [* ] * Correspondence (Tel 1‐301‐405‐8682; email yiping@ 123456umd.edu (Y. Q.); Tel 086‐028‐61830670; email: zhangyong916@ 123456uestc.edu.cn (Y. Z.); Tel 086‐0514‐87977229; email: zhangtao@ 123456yzu.edu.cn (T. Z.))

                [ † ]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-3080-5104
                https://orcid.org/0000-0002-7897-0205
                https://orcid.org/0000-0002-9556-6706
                https://orcid.org/0000-0003-3704-4835
                Article
                PBI13635
                10.1111/pbi.13635
                8486236
                34042262
                4d2f75dc-8d9d-4a10-a61f-18c0ebf1fc90
                © 2021 The Authors. Plant Biotechnology Journal published by Society for Experimental Biology and The Association of Applied Biologists and John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 30 April 2021
                : 01 March 2021
                : 17 May 2021
                Page count
                Figures: 7, Tables: 1, Pages: 17, Words: 12466
                Funding
                Funded by: NSF , doi 10.13039/100000154;
                Award ID: IOS‐1758745
                Award ID: IOS‐2029889
                Funded by: USDA‐NIFA
                Award ID: 2018‐33522‐28789
                Award ID: 2020‐33522‐32274
                Funded by: National Transgenic Major Project
                Award ID: 2019ZX08010003‐001‐002
                Funded by: National Natural Science Foundation of China , doi 10.13039/501100001809;
                Award ID: 31771486
                Award ID: 31960423
                Award ID: 32072045
                Funded by: Fundamental Research Funds for the Central Universities , doi 10.13039/501100012226;
                Award ID: ZYGX2019J127
                Funded by: The State Key Laboratory of Rice Biology
                Award ID: 20200205
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                October 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.8 mode:remove_FC converted:01.10.2021

                Biotechnology
                cytosine base editors,rice,arabidopsis,multiplexed base editing,off‐target effects,whole genome sequencing

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