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Clc genomics workbench version 7

Manufactured by Qiagen
Sourced in Denmark, United States, Germany

The CLC Genomics Workbench version 7.5 is a bioinformatics software tool designed for analyzing and visualizing genomic data. It provides a comprehensive set of tools for tasks such as sequence assembly, variant analysis, and gene expression analysis.

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45 protocols using clc genomics workbench version 7

1

Bacterial Genome Sequencing and Annotation

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DNA was extracted from a pure bacterial culture from all viable strains with a commercial kit according to the manufacturer’s instructions (MasterPure Complete DNA and RNA Purification Kit, Epicentre, distributed by Biozym Scientific, Hessisch Oldendorf, Germany) and DNA from all strains was subjected to genome sequencing. De novo assembly was performed with CLC Genomics Workbench, Version 7.5 (CLC Bio, Aarhus, Denmark). For automatic annotation we used the RAST Server: Rapid Annotations using Subsystems Technology [32 (link)]. Sequence analysis from non-published genomes and calculation of G/C contents were carried out with Geneious (v. 8.1.3; Biomatters, Auckland, NZ) [33 (link)]. Nucleotide sequences of partial 16S rRNA genes and of groEL, recA and gyrB genes were aligned by using MAFFT [34 (link)] (MAFFT v7.017, implemented in Geneious). Maximum likelihood phylogenies and trees were estimated (100 bootstrap replicates) and visualized with PhyML [35 (link)], using the HKY85 model [36 (link)].
Instead of weak DNA-DNA hybridization results for members of this genus [26 ] (data not shown) average nucleotide identity (ANI) was carried out according to the method described by Goris et al. [37 (link)] using the ezbiocloud platform (http://www.ezbiocloud.net/ezgenome/ani). According to Richter & Rosello-Mora [38 (link)] the cut-off for species boundary with this method is at 95–96%.
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2

Transcriptome Annotation and Tissue Expression

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Blastp similarity searches were carried out on the open reading frames (ORFs) of both transcriptomes against the NCBI non-redundant (nr) database (downloaded 01 October 2013) with an e-value cut-off of 1e-5 and a hit number threshold of 25. Blast2GO [140 (link)] with default parameters (hit adjusted to 25) was used for mapping and annotation of the ORFs, with InterProScan results merged with the already existing annotations. Furthermore, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway annotations were also obtained via Blast2GO. To obtain information on the transcript expression pattern across different tissues, reads of the six individual tissues were mapped back to the non-redundant strand-specific and combined reference transcriptomes, using the CLC Genomics Workbench version 7.5 (CLC Bio, USA) with default parameters except for length and similarity fraction that were set to 1.0 and 0.9, respectively. General transcript patterns across the six tissues were determined, with the tissue distribution of specific transcripts determined based on the CLC mapping information and the results presented using Microsoft Excel graphs.
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3

Whole Exome Sequencing and Variant Prioritization

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Exome enrichment was conducted following the manufacturer’s protocol for the ‘NimbleGen SeqCap EZ Human Exome v2.0’ beads (Roche NimbleGen Inc.). The kit interrogates a total of approximately 30,000 genes (~330,000 CCDS exons). Massively parallel sequencing was performed largely as described in Bentley et al. [20 (link)]. Whole exome capture and next-generation sequencing was carried out at Otogenetics Ltd. (www.otogenetics.com) on an Illumina HiSeq2000 (Illumina, San Diego, CA) platform and indexed libraries were subjected to paired-end (2×101 bp read length) sequencing-by-synthesis using fluorescent reversible terminators with a blocking group at the 3’-OH group. Three μg DNA of the affected mother E0023-I-2 was submitted for WES. Sequence reads were mapped to the human reference genome assembly (GRCh37/hg19) using CLC Genomics Workbench (version 7.5) software (CLC bio, Aarhus, Denmark). Variants were called, filtered, and prioritized according to their pathogenicity scores (>0.95) obtained from the Polyphen-2 web interface [21 (link)], MutationTaster [22 (link)], and CADD (>20) [23 (link)]. Furthermore, variants were cross-referenced with the Human Gene Mutation Database (HGMD, http://data.mch.mcgill.ca/phexdb), and genes known to be implicated in HR were intensively examined.
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4

Differential Gene Expression Analysis

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We assessed differential gene expression (DGE) between comparable stages/tissues in the EA and AE families using CLC Genomics Workbench version 7.5 (CLC Bio, Boston MA, USA) employing the Empirical Analysis of DGE option, which implements the “Exact Test” of Robinson et al. (2010) (link). Genes were considered significantly differentially expressed if the False Discovery Rate corrected p-value was less than 0.05.
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5

Comprehensive Genomic Analysis of Streptobacillus moniliformis

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Twenty-two strains of S. moniliformis were sequenced in this study, ten strains were taken from previous publications of our group and 15 strains were descended from other projects (Table 1). Genomic DNA was extracted from a 72 h bacterial culture with a commercial kit according to the manufacturer’s instructions (MasterPure™ Complete DNA and RNA Purification Kit, Epicentre, distributed by Biozym Scientific, Hessisch Oldendorf, Germany). Whole genome sequencing of the strains was performed on an Illumina MiSeq with v3 chemistry resulting in 300 bp paired end reads and a coverage of greater than 90×. Quality trimming and de novo assembly was performed with CLC Genomics Workbench, Version 7.5 (CLC Bio, Aarhus, Denmark). For automatic annotation we used the RAST Server: Rapid Annotations using Subsystems Technology [42 (link)]. Data from further relevant reference genomes from the Leptotrichiaceae were also utilized and obtained from the National Center for Biotechnology Information (NCBI) database (http://www.ncbi.nlm.nih.gov). Sequence analyses and genome calculations as well as oligonucleotide primer generation were carried out with Geneious (v. 8.1.3; Biomatters, Auckland, NZ) [43 (link)]. Table 1 depicts the set of strains and reference genomes used for this study.
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6

In silico SSR Polymorphism Screening

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In silico SSR polymorphism screening was performed by using CLC Main Workbench version 6.8.4 (CLC bio, Aarhus, Denmark) BLAST tool. HV, GLV, JLV and SLV sequences were assembled by using CLC Genomics Workbench version 7.5 (CLC bio, Aarhus, Denmark) and prepared for BLAST data base. The SSR regions (450 bp each) identified from MV sequences were used as reference sequences in a BLAST search. BLAST analyses were performed by the following parameters: BLAST program = blastn: DNA sequence and database; Target = BLAST database (HV, GLV, JLV and SLV sequences); Number of threads = 1; Choose filter = Filter low complexity; Expect = 10.0; Word size = 3; Match/mismatch cost = match 1, mismatch −3; Gap costs = Existence 5, Extension 2; and, Max number of hit sequences = 250 (Figure S1).
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7

Complete Chloroplast Genome Sequencing of Epipremnum aureum

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Fresh leaves of Epipremnum aureum were collected and total DNA was prepared following the instruction of Gentra Puregene Tissue Kit (QIAGEN Biotechnology, Germany), for constructing a shotgun library and sequencing on an Illumina Hiseq 2500 platform (Genesky Biotechnologies, Inc., Shanghai, China). The raw data (1.41 G) were filtered and trimmed by CLC Genomics Workbench version 7.5 (CLC Bio, Aarhus, Denmark). In all, 793,730 reads were assembled with MITobim version 1.7 [28 (link)] according to the complete cp genome sequence of Colocasia esculenta (KC016753). For filling the gaps, the high-quality flanking sequences (~600 bp of each end) of gaps were selected as a starting seed for the direct reconstructing process, respectively. The gaps could be fixed by aligning the new consensus sequences with the initial assembled cp genome sequence. At last, the quality checks were implemented by mapping the trimmed reads to the assembled cp genome sequence. The assembled sequence was annotated by GENEIOUS R8 (Biomatters Ltd., Auckland, New Zealand), with the complete cp genome sequence of Colocasia esculenta (KC016753) serving as the reference [29 (link)]. Statistical analyses of synonymous codon usage for all protein-coding genes and gene sequence alignments were also performed with GENEIOUS R8.
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8

HTNV Genome Sequencing and Analysis

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cDNA was amplified using HTNV-specific primer mixtures and Solg 2X Uh-Taq PCR Smart mix (Solgent; Seoul, Republic of Korea) according to the manufacturer’s instructions. The composition consisted of 12.5 μL 2× Uh pre-mix, 2.0 μL each primer mixture, 10 μL cDNA template, and 10.5 μL D.W. in 25 μL reaction mixture. The PCR cycling conditions were previously described [18 (link)]. The PCR amplicons were prepared using the TruSeq Nano DNA LT sample preparation kit (Illumina; San Diego, USA) according to the manufacturer’s instructions and previously described study [60 (link)]. NGS was performed on a MiSeq benchtop sequencer (Illumina) with 2 × 150 bp using a MiSeq reagent kit v2 (Illumina). The output files were imported and analyzed by CLC Genomics Workbench version 7.5.2 (CLC Bio; Cambridge, MA, USA). The sequences of HTNV strains were deposited in GenBank (accession numbers: MW219756- MW219773).
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9

Hantavirus Genome Sequencing Protocol

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DNA libraries were prepared using the TruSeq Nano DNA LT sample preparation kit (Illumina, San Diego, USA) according to the manufacturer’s instructions and a previously described method [18 (link)]. NGS was performed on a MiSeq benchtop sequencer platform (Illumina, San Diego, USA) with 2 × 150 bp by using a MiSeq reagent kit v2 (Illumina, San Diego, USA). Total reads were trimmed to the adaptor and index sequences, and low-quality reads were filtered using CLC Genomics Workbench version 7.5.2 (CLC Bio, Cambridge, MA, USA). The filtered reads were mapped to the tripartite genome sequence of HTNV 76-118, and consensus sequences were extracted. The uncovered genomic sequences of HTNV L, M, and S segments were determined by conventional nested RT-PCR. The genomic sequences of HTNV are described in Table S1.
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10

Extracting chloroplast genomes from NGS data

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The raw reads were imported into CLC Genomics Workbench version 7.5.1 (CLC bio, Aarhus, Denmark) for adapter and quality-based trimming. Low-quality bases were removed (quality limit = 0.03). Cleaned reads were assembled using MITObim version 1.8 (Hahn et al., 2013 (link)), guided by the complete chloroplast genome sequences of related species (Table 1). Cleaned reads were then mapped back to the MITObim-derived contig to assess the proportions of chloroplast DNA-derived reads and read depths across the genomes using CLC Genomics Workbench 7.5.1.
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