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80 protocols using clc genomics workbench v7

1

Phylogenetic Analysis and Metagenomic Mapping

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Predicted domain nucleotide and amino acid sequences were aligned using MUSCLE (77 (link)). Alignments were trimmed, by removing 5′ and 3′ ends that did not align, with AliView v1.17.1 (78 (link)). Pairwise sequence similarities were calculated and neighbor-joining trees were constructed using the CLC Genomics Workbench v7.5 and MEGA7 (85 (link)). The number of inferred synonymous (S) and nonsynonymous (N) substitutions for each codon were estimated using joint maximum likelihood reconstructions of ancestral states under a Muse-Gaut model of codon substitution (86 (link)) and the Felsenstein model of nucleotide substitutions (87 (link)), using Hyphy (88 (link)) and MEGA7. One-way analysis of variance (ANOVA), Kruskal-Wallis rank sum tests, and the Conover-Iman test, with Bonferroni corrections, were performed using base R 3.2.2 and the conover.test R package (89 ).
Metagenomic reads were mapped to the six genomes using the CLC Genomics Workbench v7.5 with a stringency of identity and read overlap of 90%. Single-nucleotide variation (SNV) analysis was conducted using the quality-based variant detection tool in CLC Genomics Workbench v7.5 (minimum read count of two).
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2

Antibiotic Resistance Profiling of Metagenome

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Metagenome reads in fastq format were imported to CLC Genomics Workbench v. 7.03 (CLC Bio) and trimmed using a minimum phred score of 20, a minimum length of 50 bp, allowing no ambiguous nucleotides and trimming off Illumina Nextera sequencing adapters, if found. The trimmed metagenome reads were mapped to all antibiotic contigs using CLC Genomics Workbench v. 7.03, using a minimum of 95% similarity over the full read length. The number of reads hitting within the putative antibiotic gene were counted and further data analysis and visualization was conducted using R52 .
The trimmed metagenome reads were also mapped to the Greengenes 16S rRNA database version 13_5 using the map reads to reference function in CLC Genomics Workbench v. 7.03 requiring 70% similarity over the full read length and random assignments of reads, which mapped to two sequences equally well.
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3

Genome Assembly of Sugarcane Smut Fungus

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Given the high coverage of PacBio reads, the HGAP.2 assembler [14 (link)] was used with default parameters. The resulting assembly was composed of 59 contigs (19 Mbp) and 11 singletons (88 kbp). A final genome version was built manually with the alignment results, generating 26 final contigs (genome V0). CLC Genomics Workbench V7.01 (CLC Bio) was then used to align all Illumina reads against this assembly. The consensus of the aligned Illumina paired-end reads (parameters: global alignment, minimum of 0.9 read length with minimum 90% identity) against the V0 genome was then saved as the V1 S. scitamineum genome. This assembly was aligned against the S. reilianum genome using cross_match (www.phrap.org). The mitochondrial genome was assembled individually (CLC Genomics Workbench V7.01) by using the mitochondrial sequence of S. reilianum as reference. The DNA data of BSES15 and BSES17 was analyzed using the Blue error correcting algorithm [15 (link)] and assembled using the Velvet Optimiser algorithm of the Velvet assembler [16 (link)] at an optimal k-mer length of 77.
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4

Moraxella Genome Sequencing and Assembly

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Four Moraxella genomes were sequenced using the Illumina MiSeq platform (University of Northumbria, UK). A 2*250 bp paired-end library (Nextera XT sample prep) were utilized for each sample. The raw data was processed by trimming the library adapter sequences and quality filtering was applied using CLC genomics workbench v.7.5 (CLC Bio, Aarhus, Denmark). Quality reads below 0.05, along with reads shorter than 100 bp and with 2 or more ambiguities were removed (total values removed for strain: MC1 – 0.06%; MC5 – 16.91%, MC6 – 7.55%, MC8 – 0.05%). After trimming and filtering, the data were processed and the reads were mapped to the reference genomes. The processed reads were used for de novo assembly. A high-quality draft genome was assembled by closing the gaps between the scaffolded contigs of the reference assembly by contig stitching with de novo contigs. The four final draft genomes comprised from 3 to 5 contigs were grouped in one scaffold each. The final genome assemblies were deposited in GenBank under accession numbers CP010573, CP010900, CP010901 and CP010902. Their detailed characteristics is provided in Supplementary Table 1.
The sequence of a pseudogene SQ02_07885 in the Mc8 genome was verified by PCR analysis using the primers, F: gataagccgtataccgccattcatg, R: ctgtctgagtgttctcttgcgcccag. The obtained 1.2 kb product was resequenced (Genomed, Poland).
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5

Illumina-based Complete Chloroplast Genome Assembly

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Illumina raw reads were collected using an Illumina Hiseq 2500 platform. The quality-trim with all of the raw reads was performed using CLC Genomics Workbench v7.5 (CLC bio, Aarhus, Denmark) with the default parameter set. The programs MITObim v1.7 (University of Oslo, Oslo, Norway) [96 (link)] and MIRA v4.0.2 (DKFZ, Heidelberg, Germany) [97 (link)] were used to perform the reference-guided assembly twice, to reconstruct the CPGs with published G. pentaphyllum (KX852298) and C. melo (JF412791) as references, respectively. A few gaps, dubious bases, and low-coverage regions in the assembled CPGs were corrected by Sanger sequencing, whereby pairs of primers were designed (Table S1) using Primer 3 version 4.0.0 (Whitehead Institute for Biomedical Research, Massachusetts, USA) [98 (link)]. The software DOGMA, Dual Organellar Genome Annotator (University of Texas at Austin, Austin, TX, USA) [99 (link)], was used to annotate the complete CPGs, and corrected by comparing with the complete CPGs of the references mentioned above using GENEIOUS R8 (Biomatters Ltd., Auckland, New Zealand). The circular CPG maps were drawn using online software OGDRAW (http://ogdraw.mpimp-golm.mpg.de) (Max planck Institute of Molecular Plant Physiology, Potsdam, Germany). All of the newly generated complete CPG sequences were submitted to GenBank (Table 1).
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6

Illumina-based chloroplast genome assembly

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All genome data were sequenced using an Illumina Hiseq 2500 platform by Biomarker Technologies, Inc (Beijing, China). High-quality reads were obtained using the CLC Genomics Workbench v7.5 (CLC Bio, Aarhus, Denmark). Reference-guided assembly was then performed to reconstruct the chloroplast genomes using the program MITObim v1.7 (Christoph et al., 2013 (link)). In order to obtain accurate sequences, each species was assembled four times with the reference genomes A. cepa (KM088014), A. sativum (KY085913), A. victorialis (NC_037240), and A. obliquum (LT699701). Gaps that appeared in the assembled cp genomes were corrected by Sanger sequencing and the primers were designed using Lasergene 7.1 (DNASTAR, Madison, WI, United States). The primers and amplifications were shown in Supplementary Table S2. The program DOGMA (Wyman et al., 2004 (link)) was used to annotate the whole cp genome, and subsequently corrected within GENEIOUS R11 (Biomatters, Ltd., Auckland, New Zealand). Final plastid genome maps were drawn using OGDRAW (Lohse et al., 2013 (link)).
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7

Mapping Illumina Reads to Apple Genome

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The assembled apple ‘Golden Delicious’ genome MalDom1.0 (NCBI accession GCA_000148765.1, annotation release 100, June 2014) (Velasco et al., 2010 (link)), which comprises 17 chromosomes with a total size of 526 197 889 bp, was used as reference. Mapping of the Illumina sequencing reads onto the reference genome was conducted in the weeping and standard pools using the software CLC Genomics Workbench (v7.5, CLCBio, Cambridge, MA, USA). The mapping parameters and settings were similar to previously described (Bai et al., 2014 (link)), i.e. the minimum length fraction was 0.8 and the minimum similarity was 0.98 (Fig. 1iv; Supplementary Table 1Supplementary Table S1).
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8

Arabidopsis Transcriptome Analysis of F. microcarpa

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Paired-end reads were assembled and analyzed in CLC Genomics Workbench v. 7.5 (CLC bio, Aarhus, Denmark, now QIAGEN). Non-coding RNA contigs were removed based on a BLAST search of contigs against a reference (Rfam). Pair-end sequencing results were deposited in NCBI’s Sequence Read Archive (reference: SRP131635). An Arabidopsis database (The Arabidopsis Information Resource, TAIR) was also searched for specific annotations of expressed genes. Genes with the highest bitscore were kept when multiple F. microcarpa genes were mapped onto duplicate Arabidopsis orthologs. The DESeq2 Bioconductor package was applied to determine the differential expressed gene (DEG) [43 (link)]. An analysis of the preference of functional gene categories was performed with MapMan (v. 3.5.1, with PageMan integrated [44 (link)]) by imputing the ID of Arabidopsis orthologues. The Wilcoxon statistical test was applied with the Benjamini–Hochberg procedure.
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9

Citrus-Associated Bacterial Genomes Sequencing

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All four citrus-associated strains were procured from BCCM-LMG culture collection and were grown as per the instructions. Genomic DNA was extracted by using a ZR Fungal/Bacterial DNA MiniPrep kit (Zymo Research). DNA quality checking was carried out using a NanoDrop 1000 instrument (Thermo Fisher Scientific) and agarose gel electrophoresis. Quantitation of DNA was performed using a Qubit 2.0 fluorometer (Life Technologies). Illumina paired-end sequencing libraries (read length, 2 × 250 bp) of genomic DNA were prepared using Nextera XT sample preparation kits (Illumina, Inc., San Diego, CA, USA) with dual indexing adapters. Illumina sequencing libraries were sequenced in-house using an Illumina MiSeq platform (Illumina, Inc., San Diego, CA, USA) and company-supplied paired-end sequencing kits. Adapter trimming was performed automatically by MiSeq control software (MCS), and additional adapter contamination identified by the NCBI server was removed by manual trimming. Raw reads were assembled de novo using CLC Genomics Workbench v7.5 (CLC bio, Aarhus, Denmark) with default settings. The quality of the genomes was accessed using CheckM v1.0.13 (36 (link)). Annotation was performed using the NCBI Prokaryotic Genome Annotation Pipeline (PGAP).
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10

RNA-seq data processing and analysis

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Illumina sequencing of the pooled RNA-seq libraries yielded 24 FASTQ files of sequences (PRJNA287523/SRP062637) with a total of 327.5 million reads passed the Illumina Casava pipeline 1.8 (Supplementary Table S3). The reads were aligned to the rRNA reference sequences obtained from the SILVA rRNA database (Quast et al., 2013 (link)) with the minimum sequence similarity of 0.95 and minimum length fraction of 1.0 to remove reads derived rRNA. The rRNA depleted reads of 307.9 million were then used for mapping against the improved apple reference transcriptome (Bai et al., 2014 (link)) using CLC Genomics Workbench v7.5 (CLCBio, Cambridge, MA, USA) with the following parameters: the minimum similarity fraction of 0.98, the minimum length fraction of 0.8, and the maximum number of hits of 10. Gene expression levels were calculated and normalized by reads per kilobase of exon model per million mapped reads (RPKM) (Mortazavi et al., 2008 (link)). Genes of RPKM>1.0 were defined to be expressed. For convenience, these novel transcripts in the improved reference transcriptome will be referred to ‘gene’ and named ‘G######’ as in ‘G101234’, and ‘MDP0000’ in the original gene IDs (e.g. MDP0000123456) will be abbreviated to ‘M’ (e.g. M123456) hereafter.
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