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      Highly accurate genome assembly of an improved high-yielding silkworm strain, Nichi01

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          Abstract

          The silkworm ( Bombyx mori) is an important lepidopteran model insect and an industrial domestic animal traditionally used for silk production. Here, we report the genome assembly of an improved Japanese strain Nichi01, in which the cocoon yield is comparable to that of commercial silkworm strains. The integration of PacBio Sequel II long-read and ddRAD-seq-based high-density genetic linkage map achieved the highest quality genome assembly of silkworms to date; 22 of the 28 pseudomolecules contained telomeric repeats at both ends, and only four gaps were present in the assembly. A total of 452 Mbp of the assembly with an N50 of 16.614 Mbp covered 99.3% of the complete orthologs of the lepidopteran core genes. Although the genome sequence of Nichi01 and that of the previously reported low-yielding tropical strain p50T assured their accuracy in most regions, we corrected several regions, misassembled in p50T, in our assembly. A total of 18,397 proteins were predicted using over 95 Gb of mRNA-seq derived from 10 different organs, covering 96.9% of the complete orthologs of the lepidopteran core genes. The final assembly and annotation files are available in KAIKObase ( https://kaikobase.dna.affrc.go.jp/index.html) along with a genome browser and BLAST searching service, which would facilitate further studies and the breeding of silkworms and other insects.

          Most cited references50

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          Fast and accurate short read alignment with Burrows–Wheeler transform

          Motivation: The enormous amount of short reads generated by the new DNA sequencing technologies call for the development of fast and accurate read alignment programs. A first generation of hash table-based methods has been developed, including MAQ, which is accurate, feature rich and fast enough to align short reads from a single individual. However, MAQ does not support gapped alignment for single-end reads, which makes it unsuitable for alignment of longer reads where indels may occur frequently. The speed of MAQ is also a concern when the alignment is scaled up to the resequencing of hundreds of individuals. Results: We implemented Burrows-Wheeler Alignment tool (BWA), a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps. BWA supports both base space reads, e.g. from Illumina sequencing machines, and color space reads from AB SOLiD machines. Evaluations on both simulated and real data suggest that BWA is ∼10–20× faster than MAQ, while achieving similar accuracy. In addition, BWA outputs alignment in the new standard SAM (Sequence Alignment/Map) format. Variant calling and other downstream analyses after the alignment can be achieved with the open source SAMtools software package. Availability: http://maq.sourceforge.net Contact: rd@sanger.ac.uk
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            Basic local alignment search tool.

            A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straightforward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.
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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.

                Author and article information

                Contributors
                Role: Editor
                Journal
                G3 (Bethesda)
                Genetics
                g3journal
                G3: Genes|Genomes|Genetics
                Oxford University Press (US )
                2160-1836
                April 2023
                23 February 2023
                23 February 2023
                : 13
                : 4
                : jkad044
                Affiliations
                Silkworm Research Group, Institute of Agrobiological Sciences, National Agriculture and Food Research Organization (NARO) , 1-2 Owashi, Tsukuba, Ibaraki 305-8634, Japan
                Silkworm Research Group, Institute of Agrobiological Sciences, National Agriculture and Food Research Organization (NARO) , 1-2 Owashi, Tsukuba, Ibaraki 305-8634, Japan
                Silkworm Research Group, Institute of Agrobiological Sciences, National Agriculture and Food Research Organization (NARO) , 1-2 Owashi, Tsukuba, Ibaraki 305-8634, Japan
                Silkworm Research Group, Institute of Agrobiological Sciences, National Agriculture and Food Research Organization (NARO) , 1-2 Owashi, Tsukuba, Ibaraki 305-8634, Japan
                Silkworm Research Group, Institute of Agrobiological Sciences, National Agriculture and Food Research Organization (NARO) , 1-2 Owashi, Tsukuba, Ibaraki 305-8634, Japan
                Silkworm Research Group, Institute of Agrobiological Sciences, National Agriculture and Food Research Organization (NARO) , 1-2 Owashi, Tsukuba, Ibaraki 305-8634, Japan
                Silkworm Research Group, Institute of Agrobiological Sciences, National Agriculture and Food Research Organization (NARO) , 1-2 Owashi, Tsukuba, Ibaraki 305-8634, Japan
                Silkworm Research Group, Institute of Agrobiological Sciences, National Agriculture and Food Research Organization (NARO) , 1-2 Owashi, Tsukuba, Ibaraki 305-8634, Japan
                Author notes
                Corresponding author: Ryusei Waizumi, Silkworm Research Group, Institute of Agrobiological Sciences, National Agriculture and Food Research Organization (NARO), 1-2 Owashi, Tsukuba, Ibaraki 305-8634, Japan. Email: waizumir957@ 123456affrc.go.jp

                Conflict of interest statement The authors declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

                Article
                jkad044
                10.1093/g3journal/jkad044
                10085791
                36814357
                72c01ca7-a33a-4d67-b8e3-cd4674eea398
                © The Author(s) 2023. Published by Oxford University Press on behalf of the 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
                : 18 November 2022
                : 14 February 2023
                : 14 March 2023
                Page count
                Pages: 10
                Funding
                Funded by: Ministry of Agriculture, Forestry, and Fisheries, doi 10.13039/501100003993;
                Categories
                Genome Report
                AcademicSubjects/SCI01180
                AcademicSubjects/SCI01140

                Genetics
                bombyx mori,silkworm,nichi01,pacbio sequencing,linkage map
                Genetics
                bombyx mori, silkworm, nichi01, pacbio sequencing, linkage map

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