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Smrtportal analysis platform

Manufactured by Pacific Biosciences
Sourced in Germany

The SMRTPortal analysis platform is a software tool developed by Pacific Biosciences for the analysis of sequencing data generated by their Single Molecule, Real-Time (SMRT) technology. The platform provides a comprehensive suite of analytical tools for tasks such as genome assembly, variant calling, and data visualization.

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6 protocols using smrtportal analysis platform

1

Comprehensive Bacterial Genome Sequencing

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Chromosomal DNA from B. longum subsp. longum NCIMB 8809 and B. longum subsp. longum CCUG 30698 was isolated as previously described [58 ] and purified using the PowerClean DNA Clean-Up Kit by MoBio Laboratories (Carlsbad, CA). SMRT bell library preparation was performed as previously described [59 (link), 60 (link)]. SMRT sequencing was performed on a PacBio RS instrument (executed by GATC Biotech, Germany) and assembled using the Pacific Biosciences SMRTPortal analysis platform (version 2.1.1). Illumina sequencing was performed by the commercial sequencing service providers Macrogen (Seoul, Republic of Korea) (using a paired-end library). The Illumina sequences obtained were then assembled with the SMRTPortal output using MIRA v3.9 (http://www.chevreux.org/projects_mira.html). Remaining gaps and quality issues were resolved using Sanger sequencing of PCR products.
To identify methylated positions the Pacific Biosciences SMRTPortal analysis platform (version 1.4) was adopted, this employs an in silico kinetic reference and a t-test based kinetic score detection of modified base positions.
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2

High-Resolution Mapping of Epigenomic Modifications in Helicobacter pylori

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Reads were mapped against the P12 genome and plasmid sequences (accession numbers CP001217 and CP001218, respectively). The ModH5 methylation recognition site was identified using the Pacific Biosciences’ SMRTPortal analysis platform (v. 1.3.1) as described previously54 (link), and its locations relative to genome features analysed using Artemis55 (link) and in-house scripts written in Perl and Python. Circular genome figures were created using DNAPlotter56 (link) using data derived from the Prokka annotation and SMRT methylome. Comparative analysis of tetranucleotide extremes in H. pylori genomes was performed using the Signature server (Institute of Bioinformatics, University of Georgia; http://www.cmbl.uga.edu/software/signature.html) to determine Karlin’s tau (τwxyz) values whereby values less than 0.72 or greater than 1.28 indicate significantly underrepresented or overrepresented tetranucleotide motifs, respectively. Statisitcal analysis of GACC prevalence and motility was performed using GraphPad Prism software (v6.0 h).
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3

Hybrid Genome Assembly Workflow

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Sequencing was performed utilizing a combined SMRT sequencing and Illumina approach on a Pacific Biosciences RS II sequencing platform (executed by GATC Biotech Ltd., Germany) and an Illumina MiSeq platform (executed by GenProbio s.r.l., Parma, Italy). De novo assemblies were performed on the Pacific Biosciences SMRTPortal analysis platform (version 2.3.1), utilizing the RS_HGAP_Assembly.2 protocol. Hybrid assemblies were performed utilizing the Unicycler hybrid assembly pipeline (Wick et al., 2017 (link)). Remaining low quality regions and sequencing conflicts were resolved by primer walking and Sanger sequencing of PCR products (performed by Eurofins MWG Operon, Germany). Open Reading Frame (ORF) prediction was performed with Prodigal v2.5 prediction software (Hyatt et al., 2010 (link)) and confirmed using BLASTX v2.2.26 alignments (Altschul et al., 1990 (link)). ORFs were automatically annotated using BLASTP v2.2.26 (Altschul et al., 1990 (link)) analysis against the non-redundant protein databases curated by the National Centre for Biotechnology Information (NCBI). Artemis v18 genome browser and annotation tool was used to manually curate ORFs and for the combination and inspection of ORF results. Final ORF annotations were refined where necessary using alternative databases; Pfam (Bateman et al., 2004 (link)), HHpred (Söding et al., 2005 (link)), and Uniprot/EMBL.
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4

Sequencing and Annotation of Lactobacillus brevis Genomes

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L. brevis strains were streaked on MRS agar plates and grown at 30 °C for 24 h. For each L. brevis strain, a single colony was inoculated into MRS broth and grown overnight at 30 °C. Cells were pelleted by centrifugation at 5000 rpm for 10 min. The supernatant was removed and the pelleted cells were frozen at − 20 °C prior sending for sequencing. Sequencing was performed using the PacBio SMRT next generation sequencing technology (performed by GATC Biotech, Germany). De novo genome assemblies were performed using the Pacific Biosciences SMRT Portal analysis platform. Open Reading Frame (ORF) or coding sequence (CDS) prediction was performed using Prodigal prediction software [38 (link)] and confirmed using BLASTX alignments [39 (link)]. Automatic annotations were refined using Artemis v16.0.0 where ORF predictions were manually checked, start codons adjusted and pseudogenes identified. Transfer RNA (tRNA) genes were predicted using tRNA-scan-SE v2.0 [40 (link)], while ribosomal RNA (rRNA) genes were identified using RNAmmer v1.2 [41 (link)]. The sixteen L. brevis genomes obtained from NCBI were re-annotated as described above in order to treat identically all sequenced genomes used in this study.
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5

Methylome Prediction of B. bifidum PRL2010

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To remove the restriction and modification (R/M) sites present on certain plasmids and targeted by endogenous R/M systems encoded by B. bifidum PRL2010, the methylome of B. bifidum PRL2010 was predicted by assessing the B. bifidum PRL2010 genome using the REBASE database (http://rebase.neb.com/rebase/rebase.html) and sequencing its genome using the Pacific Biosciences (PacBio) sequencing platform. For PacBio sequencing, B. bifidum PRL2010 was grown in MRS broth supplemented with 0.05% cysteine–HCl until it reached an optical density at 600 nm (OD600) of approximately 0.6. Genomic DNA was extracted from harvested PRL2010 cells using the GenElute Bacterial Genomic DNA kit and then subjected to sequencing using PacBio Sequel I technology and SMRT cells (Macrogen service). The PacBio sequencing reads were processed and mapped to the B. bifidum PRL2010 sequence. The interpulse durations were measured as previously described (Murray et al., 2012 (link)). To identify methylated positions, the PacBio SMRTPortal analysis platform was adopted, employing an in silico kinetic reference and a t‐test based kinetic score detection of modified base positions.
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6

Methylome Analysis of L. casei Zhang

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The total genomic DNA of the mutant strain, L. casei Zhang Δ2054, was extracted. SMRTbell libraries were prepared as described previously (Hui et al., 2019) (link). Sequencing was performed on a PacBio RS II platform using standard protocols for short and long insert libraries. The bacterial methylome was analyzed by the PacBio SMRT Portal analysis platform. The RS_Modification_and_Motif_Analysis.1.4 protocol was selected to identify the positions and motifs of methylation in the genome.
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