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June 1, 2021  |  

Automated, non-hybrid de novo genome assemblies and epigenomes of bacterial pathogens.

Understanding the genetic basis of infectious diseases is critical to enacting effective treatments, and several large-scale sequencing initiatives are underway to collect this information. Sequencing bacterial samples is typically performed by mapping sequence reads against genomes of known reference strains. While such resequencing informs on the spectrum of single-nucleotide differences relative to the chosen reference, it can miss numerous other forms of variation known to influence pathogenicity: structural variations (duplications, inversions), acquisition of mobile elements (phages, plasmids), homonucleotide length variation causing phase variation, and epigenetic marks (methylation, phosphorothioation) that influence gene expression to switch bacteria from non- pathogenic to pathogenic states. Therefore, sequencing methods which provide complete, de novo genome assemblies and epigenomes are necessary to fully characterize infectious disease agents in an unbiased, hypothesis-free manner. Hybrid assembly methods have been described that combine long sequence reads from SMRT DNA Sequencing with short reads (SMRT CCS (circular consensus) or second-generation reads), wherein the short reads are used to error-correct the long reads which are then used for assembly. We have developed a new paradigm for microbial de novo assemblies in which SMRT sequencing reads from a single long insert library are used exclusively to close the genome through a hierarchical genome assembly process, thereby obviating the need for a second sample preparation, sequencing run, and data set. We have applied this method to achieve closed de novo genomes with accuracies exceeding QV50 (>99.999%) for numerous disease outbreak samples, including E. coli, Salmonella, Campylobacter, Listeria, Neisseria, and H. pylori. The kinetic information from the same SMRT Sequencing reads is utilized to determine epigenomes. Approximately 70% of all methyltransferase specificities we have determined to date represent previously unknown bacterial epigenetic signatures. With relatively short sequencing run times and automated analysis pipelines, it is possible to go from an unknown DNA sample to its complete de novo genome and epigenome in about a day.

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June 1, 2021  |  

Automated, non-hybrid de novo genome assemblies and epigenomes of bacterial pathogens

Understanding the genetic basis of infectious diseases is critical to enacting effective treatments, and several large-scale sequencing initiatives are underway to collect this information. Sequencing bacterial samples is typically performed by mapping sequence reads against genomes of known reference strains. While such resequencing informs on the spectrum of single nucleotide differences relative to the chosen reference, it can miss numerous other forms of variation known to influence pathogenicity: structural variations (duplications, inversions), acquisition of mobile elements (phages, plasmids), homonucleotide length variation causing phase variation, and epigenetic marks (methylation, phosphorothioation) that influence gene expression to switch bacteria from non-pathogenic to pathogenic states. Therefore, sequencing methods which provide complete, de novo genome assemblies and epigenomes are necessary to fully characterize infectious disease agents in an unbiased, hypothesis-free manner. Hybrid assembly methods have been described that combine long sequence reads from SMRT DNA sequencing with short, high-accuracy reads (SMRT (circular consensus sequencing) CCS or second-generation reads) to generate long, highly accurate reads that are then used for assembly. We have developed a new paradigm for microbial de novo assemblies in which long SMRT sequencing reads (average readlengths >5,000 bases) are used exclusively to close the genome through a hierarchical genome assembly process, thereby obviating the need for a second sample preparation, sequencing run and data set. We have applied this method to achieve closed de novo genomes with accuracies exceeding QV50 (>99.999%) to numerous disease outbreak samples, including E. coli, Salmonella, Campylobacter, Listeria, Neisseria, and H. pylori. The kinetic information from the same SMRT sequencing reads is utilized to determine epigenomes. Approximately 70% of all methyltransferase specificities we have determined to date represent previously unknown bacterial epigenetic signatures. The process has been automated and requires less than 1 day from an unknown DNA sample to its complete de novo genome and epigenome.

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June 1, 2021  |  

SMRT Sequencing and assembly of the human microbiome project Mock Community sample – a feasibility project.

While the utility of Single Molecule, Real-Time (SMRT) Sequencing for de novo assembly and finishing of bacterial isolates is well established, this technology has not yet been widely applied to shotgun sequencing of microbial communities. In order to demonstrate the feasibility of this approach, we sequenced genomic DNA from the Microbial Mock Community B of the Human Microbiome Project

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June 1, 2021  |  

Minimization of chimera formation and substitution errors in full-length 16S PCR amplification

The constituents and intra-communal interactions of microbial populations have garnered increasing interest in areas such as water remediation, agriculture and human health. One popular, efficient method of profiling communities is to amplify and sequence the evolutionarily conserved 16S rRNA sequence. Currently, most targeted amplification focuses on short, hypervariable regions of the 16S sequence. Distinguishing information not spanned by the targeted region is lost and species-level classification is often not possible. SMRT Sequencing easily spans the entire 1.5 kb 16S gene, and in combination with highly-accurate single-molecule sequences, can improve the identification of individual species in a metapopulation. However, when amplifying a mixture of sequences with close similarities, the products may contain chimeras, or recombinant molecules, at rates as high as 20-30%. These PCR artifacts make it difficult to identify novel species, and reduce the amount of productive sequences. We investigated multiple factors that have been hypothesized to contribute to chimera formation, such as template damage, denaturing time before and during cycling, polymerase extension time, and reaction volume. Of the factors tested, we found two major related contributors to chimera formation: the amount of input template into the PCR reaction and the number of PCR cycles. Sequence errors generated during amplification and sequencing can also confound the analysis of complex populations. Circular Consensus Sequencing (CCS) can generate single-molecule reads with >99% accuracy, and the SMRT Analysis software provides filtering of these reads to >99.99% accuracies. Remaining substitution errors in these highly-filtered reads are likely dominated by mis-incorporations during amplification. Therefore, we compared the impact of several commercially-available high-fidelity PCR kits with full-length 16S amplification. We show results of our experiments and describe an optimized protocol for full-length 16S amplification for SMRT Sequencing. These optimizations have broader implications for other applications that use PCR amplification to phase variations across targeted regions and to generate highly accurate reference sequences.

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June 1, 2021  |  

Minimization of chimera formation and substitution errors in full-length 16S PCR amplification

The constituents and intra-communal interactions of microbial populations have garnered increasing interest in areas such as water remediation, agriculture and human health. Amplification and sequencing of the evolutionarily conserved 16S rRNA gene is an efficient method of profiling communities. Currently, most targeted amplification focuses on short, hypervariable regions of the 16S sequence. Distinguishing information not spanned by the targeted region is lost, and species-level classification is often not possible. PacBio SMRT Sequencing easily spans the entire 1.5 kb 16S gene in a single read, producing highly accurate single-molecule sequences that can improve the identification of individual species in a metapopulation.However, this process still relies upon PCR amplification from a mixture of similar sequences, which may result in chimeras, or recombinant molecules, at rates upwards of 20%. These PCR artifacts make it difficult to identify novel species, and reduce the amount of informative sequences. We investigated multiple factors that may contribute to chimera formation, such as template damage, denaturation time before and during thermocycling, polymerase extension time, and reaction volume. We found two related factors that contribute to chimera formation: the amount of input template into the PCR reaction, and the number of PCR cycles.A second problem that can confound analysis is sequence errors generated during amplification and sequencing. With the updated algorithm for circular consensus sequencing (CCS2), single-molecule reads can be filtered to 99.99% predicted accuracy. Substitution errors in these highly filtered reads may be dominated by mis-incorporations during amplification. Sequence differences in full-length 16S amplicons from several commercial high-fidelity PCR kits were compared.We show results of our experiments and describe our optimized protocol for full-length 16S amplification for SMRT Sequencing. These optimizations have broader implications for other applications that use PCR amplification to phase variations across targeted regions and generate highly accurate reference sequences.

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June 1, 2021  |  

Single chromosomal genome assemblies on the Sequel System with Circulomics high molecular weight DNA extraction for microbes

Background: The Nanobind technology from Circulomics provides an elegant HMW DNA extraction solution for genome sequencing of Gram-positive and -negative microbes. Nanobind is a nanostructured magnetic disk that can be used for rapid extraction of high molecular weight (HMW) DNA from diverse sample types including cultured cells, blood, plant nuclei, and bacteria. Processing can be completed in <1 hour for most sample types and can be performed manually or automated with common instruments. Methods:We have validated several critical steps for generating high-quality microbial genome assemblies in a streamlined microbial multiplexing workflow. This new workflow enables high-volume, cost-effective sequencing of up to 16 microbes totaling 30 Mb in genome size on a single SMRT Cell 1M using a target shear size of 10 kb. We also evaluated this method on a pool of four “class 3” microbes that contain >7 kb repeats. Fragment size was increased to ~14 kb, with some fragments >30 kb. Results: Here we present a demonstration of these capabilities using isolates relevant to high-throughput sequencing applications, including common foodborne pathogens (Shigella, Listeria, Salmonella), and species often seen in hospital settings (Klebsiella, Staphylococcus). For nearly all microbes, including difficult-to-assemble class III microbes, we achieved complete de novo microbial assemblies of =5 chromosomal contigs with minimum quality scores of 40 (99.99% accuracy) using data from multiplexed SMRTbell libraries. Each library was sequenced on a single SMRT Cell 1M with the PacBio Sequel System and analyzed with streamlined SMRT Analysis assembly methods. Conclusions: We achieved high-quality, closed microbial genomes using a combination of Circulomics Nanobind extraction and PacBio SMRT Sequencing, along with a newly streamlined workflow that includes automated demultiplexing and push-button assembly.

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June 1, 2021  |  

Streamlines SMRTbell library generation using addition-only, single tube strategy for all library types reduces time to results

We have streamlined the SMRTbell library generation protocols with improved workflows to deliver seamless end-to-end solutions from sample to analysis. A key improvement is the development of a single-tube reaction strategy that shortened hands-on time needed to generate each SMRTbell library, reduced time-consuming AM Pure purification steps, and minimized sample-handling induced gDNA damage to improve the integrity of long-insert SMRTbell templates for sequencing. The improved protocols support all large-insert genomic libraries, multiplexed microbial genomes, and amplicon sequencing. These advances enable completion of library preparation in less than a day (approximately 4 hours) and opens opportunities for automated library preparation for large-scale projects. Here we share data summarizing performance of the new SMRTbell Express Template Kit 2.0 representing our solutions for 10 kb and >50 kb large-insert genomic libraries, complete microbial genome assemblies, and high-throughput amplicon sequencing. The improved throughput of the Sequel System with read lengths up to 30 kb and high consensus accuracy (> 99.999% accuracy) makes sequencing with high-quality results increasingly assessible to the community.

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June 1, 2021  |  

Improving long-read assembly of microbial genomes and plasmids

Complete, high-quality microbial genomes are very valuable across a broad array of fields, from environmental studies, to human microbiome health, food pathogen surveillance, etc. Long-read sequencing enables accurate resolution of complex microbial genomes and is becoming the new standard. Here we report our novel Microbial Assembly pipeline to facilitate rapid, large-scale analysis of microbial genomes. We sequenced a 48-plex library with one SMRT Cell 8M on the Sequel II System, demultiplexed, then analyzed the data with Microbial Assembly.

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April 21, 2020  |  

Comparative Genomic Analysis of a Multidrug-Resistant Listeria monocytogenes ST477 Isolate.

Listeria monocytogenes is an opportunistic human foodborne pathogen that causes severe infections with high hospitalization and fatality rates. Clonal complex 9 (CC9) contains a large number of sequence types (STs) and is one of the predominant clones distributed worldwide. However, genetic characteristics of ST477 isolates, which also belong to CC9, have never been examined, and little is known about the detail genomic traits of this food-associated clone. In this study, we sequenced and constructed the whole-genome sequence of an ST477 isolate from a frozen food sample in China and compared it with 58 previously sequenced genomes of 25 human-associated, 5 animal, and 27 food isolates consisting of 6 CC9 and 52 other clones. Phylogenetic analysis revealed that the ST477 clustered with three Canadian ST9 isolates. All phylogeny revealed that CC9 isolates involved in this study consistently possessed the invasion-related gene vip. Mobile genetic elements (MGEs), resistance genes, and clustered regularly interspaced short palindromic repeats (CRISPR)/Cas system were elucidated among CC9 isolates. Our ST477 isolate contained a Tn554-like transposon, carrying five arsenical-resistance genes (arsA-arsD, arsR), which was exclusively identified in the CC9 background. Compared with the ST477 genome, three Canadian ST9 isolates shared nonsynonymous nucleotide substitutions in the condensin complex gene smc and cell surface protein genes ftsA and essC. Our findings preliminarily indicate that the extraordinary success of CC9 clone in colonization of different geographical regions is likely due to conserved features harboring MGEs, functional virulence and resistance genes. ST477 and three ST9 genomes are closely related and the distinct differences between them consist primarily of changes in genes involved in multiplication and invasion, which may contribute to the prevalence of ST9 isolates in food and food processing environment.

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April 21, 2020  |  

Complete genome sequence of Bacillus velezensis JT3-1, a microbial germicide isolated from yak feces

Bacillus velezensis JT3-1 is a probiotic strain isolated from feces of the domestic yak (Bos grunniens) in the Gansu province of China. It has strong antagonistic activity against Listeria monocytogenes, Staphylococcus aureus, Escherichia coli, Salmonella Typhimurium, Mannheimia haemolytica, Staphylococcus hominis, Clostridium perfringens, and Mycoplasma bovis. These properties have made the JT3-1 strain the focus of commercial interest. In this study, we describe the complete genome sequence of JT3-1, with a genome size of 3,929,799 bp, 3761 encoded genes and an average GC content of 46.50%. Whole genome sequencing of Bacillus velezensis JT3-1 will lay a good foundation for elucidation of the mechanisms of its antimicrobial activity, and for its future application.

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April 21, 2020  |  

Genomic and transcriptomic characterization of Pseudomonas aeruginosa small colony variants derived from a chronic infection model.

Phenotypic change is a hallmark of bacterial adaptation during chronic infection. In the case of chronic Pseudomonas aeruginosa lung infection in patients with cystic fibrosis, well-characterized phenotypic variants include mucoid and small colony variants (SCVs). It has previously been shown that SCVs can be reproducibly isolated from the murine lung following the establishment of chronic infection with mucoid P. aeruginosa strain NH57388A. Using a combination of single-molecule real-time (PacBio) and Illumina sequencing we identify a large genomic inversion in the SCV through recombination between homologous regions of two rRNA operons and an associated truncation of one of the 16S rRNA genes and suggest this may be the genetic switch for conversion to the SCV phenotype. This phenotypic conversion is associated with large-scale transcriptional changes distributed throughout the genome. This global rewiring of the cellular transcriptomic output results in changes to normally differentially regulated genes that modulate resistance to oxidative stress, central metabolism and virulence. These changes are of clinical relevance because the appearance of SCVs during chronic infection is associated with declining lung function.

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