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      Dynamic Evolution of Retroviral Envelope Genes in Egg-Laying Mammalian Genomes

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          Abstract

          Independently acquired envelope ( env) genes from endogenous retroviruses have contributed to the placental trophoblast cell–cell fusion in therian mammals. Egg-laying mammals (monotremes) are an important sister clade for understanding mammalian placental evolution, but the env genes in their genomes have yet to be investigated. Here, env-derived open reading frames ( env-ORFs) encoding more than 400 amino acid lengths were searched in the genomes of two monotremes: platypus and echidna. Only two env-ORFs were present in the platypus genome, whereas 121 env-ORFs were found in the echidna genome. The echidna env-ORFs were phylogenetically classified into seven groups named env-Tac1 to -Tac7. Among them, the env-Tac1 group contained only a single gene, and its amino acid sequence showed high similarity to those of the RD114/simian type D retroviruses. Using the pseudotyped virus assay, we demonstrated that the Env-Tac1 protein utilizes echidna sodium-dependent neutral amino acid transporter type 1 and 2 (ASCT1 and ASCT2) as entry receptors. Moreover, the Env-Tac1 protein caused cell–cell fusion in human 293T cells depending on the expression of ASCT1 and ASCT2. These results illustrate that fusogenic env genes are not restricted to placental mammals, providing insights into the evolution of retroviral genes and the placenta.

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          Most cited references49

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          MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

          We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
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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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              fastp: an ultra-fast all-in-one FASTQ preprocessor

              Abstract Motivation Quality control and preprocessing of FASTQ files are essential to providing clean data for downstream analysis. Traditionally, a different tool is used for each operation, such as quality control, adapter trimming and quality filtering. These tools are often insufficiently fast as most are developed using high-level programming languages (e.g. Python and Java) and provide limited multi-threading support. Reading and loading data multiple times also renders preprocessing slow and I/O inefficient. Results We developed fastp as an ultra-fast FASTQ preprocessor with useful quality control and data-filtering features. It can perform quality control, adapter trimming, quality filtering, per-read quality pruning and many other operations with a single scan of the FASTQ data. This tool is developed in C++ and has multi-threading support. Based on our evaluation, fastp is 2–5 times faster than other FASTQ preprocessing tools such as Trimmomatic or Cutadapt despite performing far more operations than similar tools. Availability and implementation The open-source code and corresponding instructions are available at https://github.com/OpenGene/fastp.
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                Author and article information

                Contributors
                Role: Associate Editor
                Journal
                Mol Biol Evol
                Mol Biol Evol
                molbev
                Molecular Biology and Evolution
                Oxford University Press (US )
                0737-4038
                1537-1719
                May 2023
                17 April 2023
                17 April 2023
                : 40
                : 5
                : msad090
                Affiliations
                Laboratory of Virus-Host Coevolution, Institute for Frontier Life and Medical Sciences, Kyoto University , Sakyo-ku, Kyoto, Japan
                Laboratory of Virus-Host Coevolution, Institute for Frontier Life and Medical Sciences, Kyoto University , Sakyo-ku, Kyoto, Japan
                Laboratory of Virus-Host Coevolution, Institute for Frontier Life and Medical Sciences, Kyoto University , Sakyo-ku, Kyoto, Japan
                Department of Molecular Life Science, Tokai University School of Medicine , Isehara, Kanagawa, Japan
                Division of Genome Sciences, Institute of Medical Sciences, Tokai University , Isehara, Kanagawa, Japan
                Division of Interdisciplinary Merging of Health Research, Micro/Nano Technology Center, Tokai University , Hiratsuka, Kanagawa, Japan
                Author notes
                Corresponding authors: E-mails: kitao.z7deb13@ 123456gmail.com (Koichi Kitao); Present address: Laboratory of Genome and Epigenome Dynamics, Department of Animal Sciences, Graduate School of Bioagricaltural Sciences, Nagoya University, Chikusa-ku, Nagoya, Japan; so@ 123456tokai.ac.jp (So Nakagawa).
                Author information
                https://orcid.org/0000-0003-1760-3839
                Article
                msad090
                10.1093/molbev/msad090
                10152393
                37062963
                3b82b4e7-80be-47bd-99e2-5c8dd3d3da38
                © The Author(s) 2023. Published by Oxford University Press on behalf of Society for Molecular Biology and Evolution.

                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
                Page count
                Pages: 11
                Categories
                Discoveries
                AcademicSubjects/SCI01130
                AcademicSubjects/SCI01180

                Molecular biology
                genomics,transposable element,horizontal transferc
                Molecular biology
                genomics, transposable element, horizontal transferc

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