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      Annelid genomes: Enchytraeus crypticus, a soil model for the innate (and primed) immune system

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          Abstract

          Enchytraeids (Annelida) are soil invertebrates with worldwide distribution that have served as ecotoxicology models for over 20 years. We present the first high-quality reference genome of Enchytraeus crypticus, assembled from a combination of Pacific Bioscience single-molecule real-time and Illumina sequencing platforms as a 525.2 Mbp genome (910 gapless scaffolds and 18,452 genes). We highlight isopenicillin, acquired by horizontal gene transfer and conferring antibiotic function. Significant gene family expansions associated with regeneration (long interspersed nuclear elements), the innate immune system (tripartite motif-containing protein) and response to stress (cytochrome P450) were identified. The ACE (Angiotensin-converting enzyme) — a homolog of ACE2, which is involved in the coronavirus SARS-CoV-2 cell entry — is also present in E. crypticus. There is an obvious potential of using E. crypticus as a model to study interactions between regeneration, the innate immune system and aging-dependent decline.

          Abstract

          Enchytraeus crypticus is a soil-dwelling annelid worm that has been used over the past two decades as an ecotoxicology model. Here, Mónica Amorim and colleagues present the first genome for E. crypticus. The authors identify a number of expanded gene families, including several involved with innate immunity.

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          BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs.

          Genomics has revolutionized biological research, but quality assessment of the resulting assembled sequences is complicated and remains mostly limited to technical measures like N50.
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            QUAST: quality assessment tool for genome assemblies.

            Limitations of genome sequencing techniques have led to dozens of assembly algorithms, none of which is perfect. A number of methods for comparing assemblers have been developed, but none is yet a recognized benchmark. Further, most existing methods for comparing assemblies are only applicable to new assemblies of finished genomes; the problem of evaluating assemblies of previously unsequenced species has not been adequately considered. Here, we present QUAST-a quality assessment tool for evaluating and comparing genome assemblies. This tool improves on leading assembly comparison software with new ideas and quality metrics. QUAST can evaluate assemblies both with a reference genome, as well as without a reference. QUAST produces many reports, summary tables and plots to help scientists in their research and in their publications. In this study, we used QUAST to compare several genome assemblers on three datasets. QUAST tables and plots for all of them are available in the Supplementary Material, and interactive versions of these reports are on the QUAST website. http://bioinf.spbau.ru/quast . Supplementary data are available at Bioinformatics online.
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              InterProScan 5: genome-scale protein function classification

              Motivation: Robust large-scale sequence analysis is a major challenge in modern genomic science, where biologists are frequently trying to characterize many millions of sequences. Here, we describe a new Java-based architecture for the widely used protein function prediction software package InterProScan. Developments include improvements and additions to the outputs of the software and the complete reimplementation of the software framework, resulting in a flexible and stable system that is able to use both multiprocessor machines and/or conventional clusters to achieve scalable distributed data analysis. InterProScan is freely available for download from the EMBl-EBI FTP site and the open source code is hosted at Google Code. Availability and implementation: InterProScan is distributed via FTP at ftp://ftp.ebi.ac.uk/pub/software/unix/iprscan/5/ and the source code is available from http://code.google.com/p/interproscan/. Contact: http://www.ebi.ac.uk/support or interhelp@ebi.ac.uk or mitchell@ebi.ac.uk
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                Author and article information

                Contributors
                mjamorim@ua.pt
                Journal
                Lab Anim (NY)
                Lab Anim (NY)
                Lab Animal
                Nature Publishing Group US (New York )
                0093-7355
                1548-4475
                6 September 2021
                6 September 2021
                2021
                : 50
                : 10
                : 285-294
                Affiliations
                [1 ]GRID grid.7311.4, ISNI 0000000123236065, Department of Biology & CESAM, , University of Aveiro, ; Aveiro, Portugal
                [2 ]GRID grid.5342.0, ISNI 0000 0001 2069 7798, Department of Pharmaceutics, Laboratory of Pharmaceutical Biotechnology, , Ghent University, ; Ghent, Belgium
                [3 ]GRID grid.7048.b, ISNI 0000 0001 1956 2722, Department of Biosciences, , Aarhus University, ; Silkeborg, Denmark
                Author information
                http://orcid.org/0000-0001-8137-3295
                http://orcid.org/0000-0001-5018-044X
                http://orcid.org/0000-0001-8815-5485
                Article
                831
                10.1038/s41684-021-00831-x
                8460440
                34489599
                994cd9b6-7622-43f5-adb0-cc241d251f88
                © 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
                : 20 February 2021
                : 26 July 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100000780, European Commission (EC);
                Award ID: 814426
                Award ID: 814530
                Award ID: 814426
                Award ID: 760928
                Award ID: 814530
                Award Recipient :
                Funded by: Fundação para a Ciência e Tecnologia (PTDC/CTA-AMB/3970/2020) and CESAM (UIDP/50017/2020+UIDB/50017/2020).
                Funded by: Fundação para a Ciência e Tecnologia: Decree-Law 57/2016
                Categories
                Article
                Custom metadata
                © The Author(s), under exclusive licence to Springer Nature America, Inc. 2021

                genomics,environmental sciences
                genomics, environmental sciences

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