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Newbler v2

Manufactured by Roche
Sourced in United States, Switzerland

Newbler v2.9 is a software tool developed by Roche for the assembly and analysis of next-generation sequencing data. It provides a suite of algorithms and utilities for processing and interpreting sequencing data generated by Roche's 454 Sequencing System.

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24 protocols using newbler v2

1

Metagenomic Sequence Assembly and ORF Prediction

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Sequences were assembled using Newbler v2.9 (Roche) with default parameters. For Illumina sequences, we used MEGAHIT v1.0.3 (Li et al., 2015 (link)) with meta-sensitive preset mode and minimum contig length of 180. Open reading frames (ORFs) were predicted from both contigs and reads using Prodigal v2.6.3 (Hyatt et al., 2010 (link)) in its metagenomics mode. Predicted proteins were then filtered to keep only non-redundant sequences of at least 60 amino acids length. ORFs from publicly available sequences were then clustered using CD-HIT v4.6 (Li et al., 2001 (link)) with 60% identity, 80% coverage and the following parameters: “-g 1 -n 4 -d 0” to give rise to the HVPC database.
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2

Transcriptome Assembly and Optimization

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The raw reads were quality checked and filtered out to remove low-quality reads as well as reads containing adapter sequences. Reads shorter than 60 bp were removed before performing the assembly. The resultant high-quality filtered reads were de novo assembled using the GS de novo assembler Newbler v2.9 (Roche, IN, USA) with the assembly parameters of a minimum overlap length of 40 bp and minimum overlap identity of 90%. The remaining unassembled reads (singletons) were extracted from the Newbler-trimmed 454 reads file using Seqtk software [73 (link)]. The CLC Genomics Workbench (http://www.clcbio.com (accessed on 12 August 2022)) was used to map back singletons against Newbler assembled transcripts, and unmapped singletons were eliminated as duplicates. The remaining reads were assembled using MIRA v4.2 with the following parameters: est, accurate, de-novo, 454. To remove duplicates, the singletons that failed to assemble by MIRA v4.2 were extracted and mapped back to the MIRA assembled transcripts using CLC Genomics Workbench. Further, transcripts less than 200 bps generated by MIRA v4.2 were removed, and the remaining transcripts were merged with the transcripts generated by Newbler v2.9 to get the final transcriptome assembly. The graphical representation of the detailed methodology followed is shown in Figure 8.
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3

Metagenome Assembly and Curation

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Illumina reads that passed quality control were assembled, each sample separately, using megahit v1.1.1 (Liu et al., 2015 (link)) with the parameters (-t 20 -m 0.8 --preset meta-sensitive), whereas 454 reads were assembled using Newbler v.2.9 (Roche) using default parameters, since Newbler has better performance than other assemblers for Roche 454 reads (Kumar and Blaxter, 2010 (link)). Produced contigs were renamed according to the following pattern: freshwater_SRRAccession.contig000XXXXXX, where SRRAccession is the SRA Run accession number of the particular sample used for assembly and XXXXXX is a serial number. Metagenomes that produced no contigs longer than or equal to 1,000 bp were removed from further analysis.
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4

Whole-Genome Shotgun Sequencing and Annotation

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The whole-genome shotgun sequencing was previously performed using a Miseq system (Illumina, San Diego, CA, USA), and the obtained sequence data were assembled using the Newbler v. 2.9 (Roche Diagnostics, Basel, Switzerland) [46 ,47 ]. Gene prediction was performed with the annotation tools Prokka v. 1.13 or v. 1.14.6 [48 (link)] and BlastKOALA KEGG service v.2.2 [49 (link)]. Manual gene function prediction was performed using the NCBI blastp [50 ] and Lalign tools [51 ]. Details are described in Figure S3.
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5

Functional Annotation of BAL Virome

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A BLAST database was created from the representative ORFs of all clusters of the HVPC database. BAL ORFs were functionally annotated through alignment to the HVPC blast database using BLASTp (Altschul et al., 1990 (link)) with a threshold e-value of 1 × 10-3 and a bit-score of at least 50. For comparison, BAL ORFs were also aligned to protein coding sequences from all RefSeq and non-RefSeq complete viral genomes downloaded from NCBI (https://www.ncbi.nlm.nih.gov/ on May 10, 2017) as described by Grazziotin et al. (2017) (link). The alignment was done using BLASTp (Altschul et al., 1990 (link)) with an e-value of not more than 1 × 10-3 and a bit-score of at least 50. For functional annotation, if the best hit is a hypothetical protein or of unknown function, the next hit was used as long as it fulfills the threshold criteria.
The three BAL viromes were also compared in a reference-independent manner using crAss (Dutilh et al., 2012 (link)). All high quality reads from the three samples were cross assembled using Newbler v2.9 (Roche) and used as an input for crAss.
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6

Genome Assembly from Illumina Sequencing

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New genome data were produced by an international collaborative effort. Characteristics of genome assemblies are summarized in Table S3 in the supplemental material. For newly sequenced genomes provided by M.F. and B.V., sequences were acquired on a MiSeq machine (Illumina, Inc.). Sequences were assembled using the paired-end mode in Newbler V2.9 (Roche Diagnostics, Indianapolis, IN). A custom perl script was used to merge the resulting scaffolds and contig files in a nonredundant fashion to generate a final assembly. Newly sequenced genomes BR130 and WHTQ, provided by T.M., were sequenced using an Illumina paired-end sequencing approach at >50× depth. Short reads were assembled de novo using Velvet 1.2.10 (56 (link)), resulting in a 41.5-Mb genome for BR130 with an N50 of 44.8 kb and a 43.7-Mb genome for WHTQ with an N50 of 36.2 kb. For newly sequenced genomes provided by D.S. and N.J.T., DNA was sequenced on the Illumina HiSeq 2500 sequencer, producing 100 nucleotide paired-end reads, except in the case of VO107, which was sequenced on the Illumina Genome Analyzer II, producing 36-base-paired-end reads. Reads were filtered using fastq-mcf and assembled de novo using Velvet 1.2.10 (56 (link)).
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7

Influenza A Virus Surveillance in Brazilian Swine

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Between 2009 and 2020, nasal swabs and lung samples collected from swine showing respiratory clinical signs in the Brazilian states of Minas Gerais, Paraná, Rio Grande do Sul e Santa Catarina were sent to a private diagnostic laboratory for viral screening. IAV-positive samples were then sent to the virology laboratory at EMBRAPA Swine and Poultry for virus isolation in SPF embryonated chicken eggs and/or MDCK cells (Zhang and Gauger, 2014 (link)) and sequencing. Viral isolation was confirmed by RT-qPCR after two viral passages. Total viral RNA was extracted, and the HA and NA gene segments were amplified by RT-PCR using SuperScript III One-Step RT-PCR System with Platinum Taq DNA Polymerase (Invitrogen; Thermo Fisher Scientific®, Waltham, MA, United States) following manufacture’s guideline (PCR amplification of influenza A genomic segments for whole-genome sequencing, Ion Torrent sequencing application guide; Thermo Fisher Scientific®, Waltham, MA, United States). DNA libraries were prepared and submitted for sequencing using Ion Torrent system (Thermo Fisher Scientific®, Waltham, MA, United States). Influenza segments were assembled using Newbler v.2.9 (Roche, United States). In total, 70 H1 hemagglutinin and 55 N1 neuraminidase unique gene sequences were generated for this study.
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8

GS Junior Titanium Sequencing Protocol

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Genomic DNA (500 ng) was sheared using a GS Rapid Library Prep Nebulizer (Roche) and a library was prepared using a GS Rapid Library Rgt/Adaptors Kit (Roche), according to the manufacturer’s instructions. Sequencing was performed using a GS Junior Titanium Sequencing Kit. The software Newbler v2.5 (Roche)
[24 (link)] was employed to assemble the 454 GS Junior data with default parameters.
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9

Ion Torrent NGS DNA Library Preparation

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Genomic DNA (2 μg) was sheared using the Covaris S220 (Covaris) and a library was prepared using an Ion Fragment Library Kit (Life Technologies), according to the manufacturer’s instructions. Sequencing was performed using a 318 chip and an Ion PGM Sequencing 400 Kit (Life Technologies). The Ion PGM data were randomly sampled with the sfffile tool v2.5 (Roche) and then assembled with the software Newbler v2.5 (Roche)
[24 (link)] with default parameters.
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10

Reconstructing the A. kona Mitochondrial Genome

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A large portion of the A. kona mtDNA sequence was recovered from 454 shot-gun sequencing of total A. kona DNA (Fu C-J, Sheikh S, Baldauf SL, unpublished data). Four contigs of mtDNA sequence with size ranges from 3 to 17 kb were obtained by genomic assembly using Newbler v2.5 (Roche). These contigs were used for a baiting and iterative mapping approach using Illumina sequencing data to correct base-calling errors known to be associated with long single-nucleotide repeats in 454 reads with Mira (Hahn et al. 2013 (link)). Long range PCR was carried out using nested primers to cross gap regions using the LongAmp Taq PCR Kit (NEB) (supplementary table S1, Supplementary Material online). PCR products ranging from 2 to 7 kb were cloned using the CloneJET PCR Cloning Kit (Fermentas) (supplementary fig. S1, Supplementary Material online). Colonies containing inserts were sent for sequencing with ABI 3730 sequencer (Applied Biosystems) at Macrogen (Seoul, South Korea). Final gap closure was accomplished using a primer walking strategy.
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