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      ZW sex-chromosome evolution and contagious parthenogenesis in Artemia brine shrimp

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          Abstract

          Eurasian brine shrimp (genus Artemia) have closely related sexual and asexual lineages of parthenogenetic females, which produce rare males at low frequencies. Although they are known to have ZW chromosomes, these are not well characterized, and it is unclear whether they are shared across the clade. Furthermore, the underlying genetic architecture of the transmission of asexuality, which can occur when rare males mate with closely related sexual females, is not well understood. We produced a chromosome-level assembly for the sexual Eurasian species Artemia sinica and characterized in detail the pair of sex chromosomes of this species. We combined this new assembly with short-read genomic data for the sexual species Artemia sp. Kazakhstan and several asexual lineages of Artemia parthenogenetica, allowing us to perform an in-depth characterization of sex-chromosome evolution across the genus. We identified a small differentiated region of the ZW pair that is shared by all sexual and asexual lineages, supporting the shared ancestry of the sex chromosomes. We also inferred that recombination suppression has spread to larger sections of the chromosome independently in the American and Eurasian lineages. Finally, we took advantage of a rare male, which we backcrossed to sexual females, to explore the genetic basis of asexuality. Our results suggest that parthenogenesis is likely partly controlled by a locus on the Z chromosome, highlighting the interplay between sex determination and asexuality.

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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
                Role: Editor
                Journal
                Genetics
                Genetics
                genetics
                Genetics
                Oxford University Press
                0016-6731
                1943-2631
                October 2022
                17 August 2022
                17 August 2022
                : 222
                : 2
                : iyac123
                Affiliations
                Institute of Science and Technology Austria , Klosterneuburg 3400, Austria
                Institute of Science and Technology Austria , Klosterneuburg 3400, Austria
                Department of Chromosome Biology, Max Perutz Labs, University of Vienna , Vienna 1030, Austria
                Institute of Science and Technology Austria , Klosterneuburg 3400, Austria
                Faculty of Science and Technology, Department of Life and Environmental Sciences, Bournemouth University , Poole BH12 5BB, UK
                Institute of Science and Technology Austria , Klosterneuburg 3400, Austria
                Institute of Science and Technology Austria , Klosterneuburg 3400, Austria
                Institute of Science and Technology Austria , Klosterneuburg 3400, Austria
                Institute of Science and Technology Austria , Klosterneuburg 3400, Austria
                CNRS, Univ. Lille, UMR 8198—Evo-Eco-Paleo , 59000 Lille, France
                Institute of Science and Technology Austria , Klosterneuburg 3400, Austria
                Lewis and Clark College , Portland, OR 97219, USA
                Institute of Science and Technology Austria , Klosterneuburg 3400, Austria
                Institute of Organismic and Molecular Evolution, Johannes Gutenberg Universität Mainz , Mainz 55122, Germany
                Instituto de Acuicultura de Torre de la Sal (IATS-CSIC) , 12595 Ribera de Cabanes (Castellón), Spain
                Institute of Science and Technology Austria , Klosterneuburg 3400, Austria
                Author notes
                Corresponding author: Institute of Science and Technology Austria, Klosterneuburg 3400, Austria. Email: bvicoso@ 123456ist.ac.at

                Marwan Elkrewi and Uladzislava Khauratovich contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-5328-7231
                https://orcid.org/0000-0002-9752-7380
                https://orcid.org/0000-0001-8441-5075
                https://orcid.org/0000-0002-3239-6666
                https://orcid.org/0000-0001-8871-4961
                https://orcid.org/0000-0003-2466-1375
                https://orcid.org/0000-0002-4579-8306
                Article
                iyac123
                10.1093/genetics/iyac123
                9526061
                35977389
                de6946a0-d85c-45ba-830b-54a7ffe81fcc
                © The Author(s) 2022. Published by Oxford University Press on behalf of Genetics Society of America.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 15 April 2022
                : 18 July 2022
                : 06 September 2022
                Page count
                Pages: 14
                Funding
                Funded by: European Union’s Horizon 2020;
                Award ID: 715257
                Funded by: Austrian Science Foundation;
                Categories
                Investigation
                Population and Evolutionary Genetics
                AcademicSubjects/SCI01180
                AcademicSubjects/SCI01140
                AcademicSubjects/SCI00010
                AcademicSubjects/SCI00960

                Genetics
                sex chromosome,female heterogamety,asexuality,dosage compensation
                Genetics
                sex chromosome, female heterogamety, asexuality, dosage compensation

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