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      Genome sequence of the English grain aphid, Sitobion avenae and its endosymbiont Buchnera aphidicola

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          Abstract

          The English grain aphid, Sitobion avenae, is a major agricultural pest of wheat, barley and oats, and one of the principal vectors of barley yellow dwarf virus leading to significant reductions in grain yield, annually. Emerging resistance to and increasing regulation of insecticides has resulted in limited options for their control. Using PacBio HiFi data, we have produced a high-quality draft assembly of the S. avenae genome; generating a primary assembly with a total assembly size of 475.7 Mb, and an alternate assembly with a total assembly size of 430.8 Mb. Our primary assembly was highly contiguous with only 326 contigs and a contig N50 of 15.95 Mb. Assembly completeness was estimated at 97.7% using BUSCO analysis and 31,007 and 29,037 protein-coding genes were predicted from the primary and alternate assemblies, respectively. This assembly, which is to our knowledge the first for an insecticide resistant clonal lineage of English grain aphid, will provide novel insight into the molecular and mechanistic determinants of resistance and will facilitate future research into mechanisms of viral transmission and aphid behavior.

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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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            Prokka: rapid prokaryotic genome annotation.

            T Seemann (2014)
            The multiplex capability and high yield of current day DNA-sequencing instruments has made bacterial whole genome sequencing a routine affair. The subsequent de novo assembly of reads into contigs has been well addressed. The final step of annotating all relevant genomic features on those contigs can be achieved slowly using existing web- and email-based systems, but these are not applicable for sensitive data or integrating into computational pipelines. Here we introduce Prokka, a command line software tool to fully annotate a draft bacterial genome in about 10 min on a typical desktop computer. It produces standards-compliant output files for further analysis or viewing in genome browsers. Prokka is implemented in Perl and is freely available under an open source GPLv2 license from http://vicbioinformatics.com/. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
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              Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype

              Rapid advances in next-generation sequencing technologies have dramatically changed our ability to perform genome-scale analyses. The human reference genome used for most genomic analyses represents only a small number of individuals, limiting its usefulness for genotyping. We designed a novel method, HISAT2, for representing and searching an expanded model of the human reference genome, in which a large catalogue of known genomic variants and haplotypes is incorporated into the data structure used for searching and alignment. This strategy for representing a population of genomes, along with a fast and memory-efficient search algorithm, enables more detailed and accurate variant analyses than previous methods. We demonstrate two initial applications of HISAT2: HLA typing, a critical need in human organ transplantation, and DNA fingerprinting, widely used in forensics. These applications are part of HISAT-genotype, with performance not only surpassing earlier computational methods, but matching or exceeding the accuracy of laboratory-based assays.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                G3 (Bethesda)
                Genetics
                g3journal
                G3: Genes|Genomes|Genetics
                Oxford University Press
                2160-1836
                March 2022
                08 December 2021
                08 December 2021
                : 12
                : 3
                : jkab418
                Affiliations
                [1 ] Teagasc, Crop Science Department , Carlow R93 XE12, Ireland
                [2 ] School of Biology and Environmental Science, University College Dublin , Dublin 4, Ireland
                [3 ] Department of Biology, Maynooth University, Maynooth, Co. Kildare , W23 F2H6, Ireland
                [4 ] Teagasc, Ashtown Research Centre , Dublin D15 KN3K, Ireland
                [5 ] School of Medicine, University of St Andrews , North Haugh, KY16 9TF St Andrews, UK
                [6 ] The James Hutton Institute, Invergowrie , Dundee DD2 5DA, UK
                Author notes
                Corresponding author: Teagasc, Crop Science Department, Oak Park, Carlow R93XE12, Ireland. Email: stephen.byrne@ 123456teagasc.ie
                Author information
                https://orcid.org/0000-0002-1179-2272
                Article
                jkab418
                10.1093/g3journal/jkab418
                9210274
                34878113
                ceda1ca4-8bd3-46b0-a91c-c14f739b899f
                © The Author(s) 2021. 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
                : 06 November 2021
                : 30 November 2021
                : 17 January 2022
                Page count
                Pages: 8
                Funding
                Funded by: Teagasc Walsh Scholarship;
                Funded by: University of St Andrews Bioinformatics Unit;
                Award ID: AMD3BIOINF
                Funded by: Wellcome Trust ISSF;
                Award ID: 105621/Z/14/Z and XISF6P
                Categories
                Genome Report
                AcademicSubjects/SCI01180
                AcademicSubjects/SCI01140
                AcademicSubjects/SCI00010
                AcademicSubjects/SCI00960

                Genetics
                aphid,pacbio hifi,sitobion avenae,genome
                Genetics
                aphid, pacbio hifi, sitobion avenae, genome

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