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28 protocols using clc genomics workbench v 10

1

Microbiome Profiling: Bioinformatic Workflow

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Operational taxonomic unit (OTU) clustering and taxonomic analyses were performed using CLC Genomics Workbench V.10.1.1 and CLC Microbial Genomics Module V.2.5 (Qiagen). Sequences were first trimmed to remove 13 bases at the 5′ terminal position and merged considering the alignment scores as follows: mismatch cost of 2, gap cost of 2, zero maximum unaligned end mismatches and minimum score of 30.
After merging, sequences were clustered into OTUs at 97% sequence similarity level. The most abundant sequences were selected as representative of each cluster and then assigned to a taxonomy level using default values and the Greengenes Database 2013 release. Low depth samples (less than 2000 sequences per sample) were removed from the analysis. Alpha diversity indexes (Simpson, Shannon and total OTU number) were calculated. Bray-Curtis and unweighted UniFrac metric were used to calculate intersample diversity (beta diversity).
Samples were rarefied using QIIME 1.9, and multiple comparisons and statistical analyses were performed using CLC Genomics Workbench V.10.1.1 and CLC Microbial Genomics Module V.2.5 (Qiagen). A Negative Binomial GLM model was used to obtain maximum likelihood estimates for an OTU’s log-fold change between two conditions, and the Wald test was used to determine significance. False discovery rate (FDR) was performed to correct p values.
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2

Comprehensive Viral RNA Sequencing

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For full genome sequencing, viral RNA from the DF-1 culture supernatant was used. Next-generation sequencing (NGS) was conducted by the Tri-I Biotech Company (Taipei, Taiwan). Briefly, a cDNA library was constructed using the NuGEN Trio RNA-Seq kit (Tecan, CA), and sequencing was conducted using the Illumina NovaSeq Sequencing System (2 × 151 pair-ends) (Illumina, San Diego, CA). The obtained reads were assembled by reference mapping using CLC Genomics Workbench v10 (Qiagen) and de novo assembly using SPAdes v3.14.1 (Bankevich et al., 2012 (link)).
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3

CD44 Gene Promoter Methylation Analysis

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The purified PCR products were sequenced by NGS. After barcoding PCR, the products were purified and pooling mixed. The DNA products were constructed into library by Celero DNA-Seq kit (NuGEN, USA), then sequenced by Illumina MiSeq system (Illumina, USA). After trimming the raw data by CLC Genomics Workbench v10 (Qiagen, German), the sequences were analyzed to distinguish the methylated (C) or unmethylated (T) of total 27 CpG sites of CD44 gene promoter. Each site was read over 30000 reads.
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4

Analyzing Defective HIV Proviral Sequences

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Defective proviral sequences were obtained using the HIV Proviral Sequence Database [35] . All HIV RNA primers and proviral sequences were aligned to the HXB2 reference genome using CLC genomics workbench v10 (Qiagen). Only defective proviral sequences isolated from the blood of PLWH suppressed on ART with a viral load <50 copies/mL were analyzed. 993 sequences were obtained at the time of query. Primer sequences were considered as mutated if the sequence was present but one or more base pair mutation was present. Primer sequences were considered deleted if the sequence was not present at all. Primer sequences were considered as a perfect match if the sequence was present and did not contain any mutations or deletions.
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5

Genome Sequencing and Resistome Analysis

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The genome of the isolate was sequenced with next-generation sequencing (NGS) using the Illumina MiSeq system. The sample library was prepared with the Nextera XT DNA library preparation kit (Illumina, San Diego, CA, USA). DNA sequencing was carried out with the MiSeq Reagent Kit V3 (600 cycles) and the Illumina MiSeq sequencer (2×300 paired end reads). The reads were quality filtered. De novo assembly and gene annotation was performed using the CLC Genomics Workbench v10 (Qiagen) and the RAST server (http://rast.nmpdr.org/), respectively. Characterization of the resistome was carried out using the ResFinder server (http://cge.cbs.dtu.dk/services/ResFinder-3.0).
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6

Comprehensive Genomic Analysis of Antimicrobial Resistance

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De novo assembly and read mappings were performed using CLC Genomics Workbench v10.1 (Qiagen, Les Ulis, France). The acquired antimicrobial resistance genes were identified using Resfinder server v3.1 (https://cge.cbs.dtu.dk/services/ResFinder/) and CARD database (https://card.mcmaster.ca)17 (link),18 (link). The genome was annotated using the RAST server41 (link). Detection of phage was performed using the PHASTER server (www.phaster.ca)42 (link). Genomic Island were detected using Island Viewer 4 (http://www.pathogenomics.sfu.ca/islandviewer/). Phylogenetic analysis was performed using CSIPhylogeny v1.443 (link). The parameters used were as follows: minimum distance between SNPs at 10 bp, minimum Z-score at 1.96, and minimum depth at 10X with a relative depth at 10% per position.
The copy number of blaOXA-23 was assessed to identify a potential gene duplication event as observed for blaOXA-58. The gene copy number was calculated using the ratio of the coverage of the blaOXA-23 gene and that of distantly located single copy chromosomal genes (rpoB, dnaA and mdh). Insertion sequences were identified using the ISfinder database44 (link).
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7

Genomic Characterization of Carbapenemase-Producing Isolates

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To distinguish carbapenemase producers belonging to the same sequence type, whole genome sequencing was performed using Illumina technology (Illumina, Evry, France) as previously described [11 (link)]. Total DNA was extracted from colonies using the Ultraclean Microbial DNA Isolation Kit (MO BIO Laboratories, Ozyme, Saint-Quentin, France) following the manufacturer’s instructions. De novo assembly and read mappings were performed using CLC Genomics Workbench v10.1 (Qiagen, Les Ulis, France). The acquired antimicrobial resistance genes were identified using Resfinder server v3.1 (https://cge.cbs.dtu.dk/services/ResFinder/) and CARD database (https://card.mcmaster.ca). Phylogeny was performed using CSIphylogeny v1.4 server (https://cge.cbs.dtu.dk/services/CSIPhylogeny/) and visualised using FigTree software v1.4.3 (http://tree.bio.ed.ac.uk/).
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8

Transcriptomic Profiling of Polymyxin B-Treated Strains

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Both Lab-WT and PMRHigh strains were grown to exponential phase (OD600 ~ 0.5) in LB media. For antibiotic treatment conditions, both strains were grown to the exponential phase (OD600 ~ 0.25) in 1/2 MIC (1 µg/mL or 64 µg/mL, respectively) of PMB-supplemented LB media. Total RNA was isolated from 10 mL of cells by using the RNeasy Mini Kit (QIAGEN) according to the manufacturer’s instructions. All procedures for RNA sequencing were conducted by ChunLab. The RNA was subjected to a subtractive Hyb-based rRNA removal process using the MICROBExpress Bacterial mRNA Enrichment Kit (Ambion, USA). RNA sequencing was performed with two runs of the Illumina Genome Analyzer IIx to generate single-ended 100 bp reads. Quality-filtered reads were aligned to the reference genome sequence using the CLC Genomics Workbench v.10.0.1 (QIAGEN). Mapping was based on a minimal length of 100 bp with an allowance of up to two mismatches. Relative transcript abundance was measured in RPKM. The RNA-seq data have been deposited in NCBI under Gene Expression Omnibus (GEO) accession number GSE163581.
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9

RNA-Seq Analysis of RPE Transcriptome

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Sequence reads were generated from RPE‐specific cDNA libraries on the Ion Torrent Proton. Obtained raw sequences were filtered to remove low quality reads (average per base Phred score < 28). Furthermore, the reads containing adaptor sequences and low‐quality sequences (reads presenting ambiguous bases denoted as ‘N’) were also trimmed from the raw data. The quality of analyzed data was checked using fastqc (v.0.11.5) and qualimap (v.2.2.1) software. The filtered data were then analyzed by clc genomics workbench v.10.0.1 (Qiagen Aarhus, Denmark; https://www.qiagenbioinformatics.com/products/clc-genomics-workbench/) using Homo sapiens genome hg19 and Ensembl RNA database v.74 as references. RNA‐Seq analysis was conducted using the following settings: quality trim limit = 0.01, ambiguity trim maximum value = 2. Map to annotated reference: minimum length fraction and minimum similarity fraction = 0.8, maximum number of hits/read = 2, type of organism = eukaryote, paired settings =default.
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10

Bacterial Genome Assembly and Annotation

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De novo assembly was performed using CLC Genomics Workbench v10.0.1 (Qiagen, CLC bio A/S, Aarhus, Denmark) using default settings and an optimal word-size. The assembly quality data for all isolates is available in the supplementary data table (Data Sheet S2). Annotation was performed by uploading the assembled genomes onto the RAST server version 2.0 (Aziz et al., 2008 (link)). The ST was identified by uploading the assembled genomes in fasta format to the Center for Genomic Epidemiology (CGE) MLST finder website (version 1.7) (Larsen et al., 2012 (link)). Presence of antibiotic resistant genes was determined by uploading assembled genomes in fasta format to ResFinder 2.1 (Zankari et al., 2012 (link)), the serotyping by using the SerotypeFinder tool (Joensen et al., 2015 (link)), and the fimH type by uploading the genomes to FimTyper (version 1.0) (Roer et al., 2017 (link)) all present through the CGE website.
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