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      Ph2 encodes the mismatch repair protein MSH7-3D that inhibits wheat homoeologous recombination

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          Abstract

          Meiotic recombination is a critical process for plant breeding, as it creates novel allele combinations that can be exploited for crop improvement. In wheat, a complex allohexaploid that has a diploid-like behaviour, meiotic recombination between homoeologous or alien chromosomes is suppressed through the action of several loci. Here, we report positional cloning of Pairing homoeologous 2 (Ph2) and functional validation of the wheat DNA mismatch repair protein MSH7-3D as a key inhibitor of homoeologous recombination, thus solving a half-century-old question. Similar to ph2 mutant phenotype, we show that mutating MSH7-3D induces a substantial increase in homoeologous recombination (up to 5.5 fold) in wheat-wild relative hybrids, which is also associated with a reduction in homologous recombination. These data reveal a role for MSH7-3D in meiotic stabilisation of allopolyploidy and provides an opportunity to improve wheat’s genetic diversity through alien gene introgression, a major bottleneck facing crop improvement.

          Abstract

          In the allohexaploid genome of wheat, meiotic recombination between homoeologues is suppressed through the action of several loci. Here, the authors report the cloning of the long sought-after gene Ph2 and show its function in reduction of homoeologous recombination.

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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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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              STAR: ultrafast universal RNA-seq aligner.

              Accurate alignment of high-throughput RNA-seq data is a challenging and yet unsolved problem because of the non-contiguous transcript structure, relatively short read lengths and constantly increasing throughput of the sequencing technologies. Currently available RNA-seq aligners suffer from high mapping error rates, low mapping speed, read length limitation and mapping biases. To align our large (>80 billon reads) ENCODE Transcriptome RNA-seq dataset, we developed the Spliced Transcripts Alignment to a Reference (STAR) software based on a previously undescribed RNA-seq alignment algorithm that uses sequential maximum mappable seed search in uncompressed suffix arrays followed by seed clustering and stitching procedure. STAR outperforms other aligners by a factor of >50 in mapping speed, aligning to the human genome 550 million 2 × 76 bp paired-end reads per hour on a modest 12-core server, while at the same time improving alignment sensitivity and precision. In addition to unbiased de novo detection of canonical junctions, STAR can discover non-canonical splices and chimeric (fusion) transcripts, and is also capable of mapping full-length RNA sequences. Using Roche 454 sequencing of reverse transcription polymerase chain reaction amplicons, we experimentally validated 1960 novel intergenic splice junctions with an 80-90% success rate, corroborating the high precision of the STAR mapping strategy. STAR is implemented as a standalone C++ code. STAR is free open source software distributed under GPLv3 license and can be downloaded from http://code.google.com/p/rna-star/.
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                Author and article information

                Contributors
                heidi.serra@uca.fr
                pierre.sourdille@inrae.fr
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                5 February 2021
                5 February 2021
                2021
                : 12
                : 803
                Affiliations
                [1 ]GRID grid.494717.8, ISNI 0000000115480420, Genetics, Diversity and Ecophysiology of Cereals, UMR 1095, INRAE, , Université Clermont Auvergne, ; Clermont-Ferrand, France
                [2 ]GRID grid.454748.e, Institute of Experimental Botany of the Czech Academy of Sciences, , Centre of the Region Hana for Biotechnological and Agricultural Research, ; Olomouc, Czech Republic
                [3 ]GRID grid.1010.0, ISNI 0000 0004 1936 7304, School of Agriculture, Food and Wine, , University of Adelaide, Waite Campus, PMB1, ; Glen Osmond, SA Australia
                [4 ]GRID grid.464686.e, ISNI 0000 0001 1520 1671, South Australian Research and Development Institute, ; Adelaide, SA Australia
                [5 ]GRID grid.494717.8, ISNI 0000000115480420, Present Address: Genetics, Reproduction and Development, , CNRS, Inserm, Université Clermont Auvergne, ; Clermont-Ferrand, France
                Author information
                http://orcid.org/0000-0002-5457-2050
                http://orcid.org/0000-0002-6481-4076
                http://orcid.org/0000-0003-1281-598X
                http://orcid.org/0000-0003-2263-7558
                http://orcid.org/0000-0002-9059-0774
                http://orcid.org/0000-0002-4154-8895
                http://orcid.org/0000-0002-1027-2224
                Article
                21127
                10.1038/s41467-021-21127-1
                7865012
                33547285
                26a6613e-991c-4d7d-b9aa-1e6d6db6a280
                © The Author(s) 2021

                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
                : 29 July 2020
                : 13 January 2021
                Funding
                Funded by: EU-funded AgreenSkills+ fellowship ANR CROC (CE19-2014) Bettencourt-Schueller Foundation
                Funded by: Czech Science Foundation (17-05341S) ERDF project “Plants as a tool for sustainable global development” (CZ.02.1.01/0.0/0.0/16_019/0000827)
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                plant breeding,dna recombination,polyploidy in plants
                Uncategorized
                plant breeding, dna recombination, polyploidy in plants

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