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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


June 1, 2021  |  

An interactive workflow for the analysis of contigs from the metagenomic shotgun assembly of SMRT Sequencing data.

The data throughput of next-generation sequencing allows whole microbial communities to be analyzed using a shotgun sequencing approach. Because a key task in taking advantage of these data is the ability to cluster reads that belong to the same member in a community, single-molecule long reads of up to 30 kb from SMRT Sequencing provide a unique capability in identifying those relationships and pave the way towards finished assemblies of community members. Long reads become even more valuable as samples get more complex with lower intra-species variation, a larger number of closely related species, or high intra-species variation. Here we present a collection of tools tailored for PacBio data for the analysis of these fragmented metagenomic assembles, allowing improvements in the assembly results, and greater insight into the communities themselves. Supervised classification is applied to a large set of sequence characteristics, e.g., GC content, raw-read coverage, k-mer frequency, and gene prediction information, allowing the clustering of contigs from single or highly related species. A unique feature of SMRT Sequencing data is the availability of base modification / methylation information, which can be used to further analyze clustered contigs expected to be comprised of single or very closely related species. Here we show base modification information can be used to further study variation, based on differences in the methylated DNA motifs involved in the restriction modification system. Application of these techniques is demonstrated on a monkey intestinal microbiome sample and an in silico mix of real sequencing data from distinct bacterial samples.


June 1, 2021  |  

Developments in PacBio metagenome sequencing: Shotgun whole genomes and full-length 16S.

The assembly of metagenomes is dramatically improved by the long read lengths of SMRT Sequencing. This is demonstrated in an experimental design to sequence a mock community from the Human Microbiome Project, and assemble the data using the hierarchical genome assembly process (HGAP) at Pacific Biosciences. Results of this analysis are promising, and display much improved contiguity in the assembly of the mock community as compared to publicly available short-read data sets and assemblies. Additionally, the use of base modification information to make further associations between contigs provides additional data to improve assemblies, and to distinguish between members within a microbial community. The epigenetic approach is a novel validation method unique to SMRT Sequencing. In addition to whole-genome shotgun sequencing, SMRT Sequencing also offers improved classification resolution and reliability of metagenomic and microbiome samples by the full-length sequencing of 16S rRNA (~1500 bases long). Microbial communities can be detected at the species level in some cases, rather than being limited to the genus taxonomic classification as constrained by short-read technologies. The performance of SMRT Sequencing for these metagenomic samples achieved >99% predicted concordance to reference sequences in cecum, soil, water, and mock control investigations for bacterial 16S. Community samples are estimated to contain from 2.3 and up to 15 times as many species with abundance levels as low as 0.05% compared to the identification of phyla groups.


June 1, 2021  |  

Highly sensitive, non-invasive detection of colorectal cancer mutations using single molecule, third generation sequencing.

Colorectal cancer (CRC) represents one of the most prevalent and lethal malignant neoplasms and every individual of age 50 and above should undergo regular CRC screening. Currently, the most effective procedure to detect adenomas, the precursors to CRC, is colonoscopy, which reduces CRC incidence by 80%. However, it is an invasive approach that is unpleasant for the patient, expensive, and poses some risk of complications such as colon perforation. A non-invasive screening approach with detection rates comparable to those of colonoscopy has not yet been established. The current study applies Pacific Biosciences third generation, single molecule sequencing to the inspection of CRC-driving mutations. Our approach combines the screening power and the extremely high accuracy of circular consensus (CCS) third generation sequencing with the non-invasiveness of using stool DNA to detect CRC-associated mutations present at extremely low frequencies and establishes a foundation for a non-invasive, highly sensitive assay to screen the population for CRC and early stage adenomas. We performed a series of experiments using a pool of fifteen amplicons covering the genes most frequently mutated in CRC (APC, Beta Catenin, KRAS, BRAF, and TP53), ensuring a theoretical screening coverage of over 97% for both CRC and adenomas. The assay was able to detect mutations in DNA isolated from stool samples from patients diagnosed with CRC at frequencies below 0.5 % with no false positives. The mutations were then confirmed by sequencing DNA isolated from the excised tumor samples. Our assay should be sensitive enough to allow the early identification of adenomatous polyps using stool DNA as analyte. In conclusion, we have developed an assay to detect mutations in the genes associated with CRC and adenomas using Pacific Biosciences RS Single Molecule, Real Time Circular Consensus Sequencing (SMRT-CCS). With no systematic bias and a much higher raw base-calling quality (CCS) compared to other sequencing methods, the assay was able to detect mutations in stool DNA at frequencies below 0.5 % with no false positives. This level of sensitivity should be sufficient to allow the detection of most adenomatous polyps using stool DNA as analyte, a feature that would make our approach the first non-invasive assay with a sensitivity comparable to that of colonoscopy and a strong candidate for the non-invasive preventive CRC screening of the general population.


June 1, 2021  |  

A workflow for the analysis of contigs from the metagenomic shotgun assembly of SMRT Sequencing data

The throughput of SMRT Sequencing and long reads allows microbial communities to be analyzed using a shotgun sequencing approach. Key to leveraging this data is the ability to cluster sequences belonging to the same member of a community. Long reads of up to 40 kb provide a unique capability in identifying those relationships, and pave the way towards finished assemblies of community members. Long reads are highly valuable when samples are more complex and containing lower intra-species variation, such as a larger number of closely related species, or high intra-species variation. Here, we present a collection of tools tailored for the analysis of PacBio metagenomic assemblies. These tools allow for improvements in the assembly results, and greater insight into the complexity of the study communities. Supervised classification is applied to a large set of sequence characteristics (e.g. GC content, raw read coverage, k-mer frequency, and gene prediction information) and to cluster contigs from single or highly related species. Assembly in isolation of the raw data associated with these contigs is shown to improve assembly statistics. A unique feature of SMRT Sequencing is the availability to leverage simultaneously collected base modification / methylation data to aid the clustering of contigs expected to comprise a single or very closely related species. We demonstrate the added value of base modification information to distinguish and study variation within metagenomic samples based on differences in the methylated DNA motifs involved in the restriction modification system. Application of these techniques is demonstrated on a mock community and monkey intestinal microbiome sample.


June 1, 2021  |  

Complete microbial genomes, epigenomes, and transcriptomes using long-read PacBio Sequencing.

For comprehensive metabolic reconstructions and a resulting understanding of the pathways leading to natural products, it is desirable to obtain complete information about the genetic blueprint of the organisms used. Traditional Sanger and next-generation, short-read sequencing technologies have shortcomings with respect to read lengths and DNA-sequence context bias, leading to fragmented and incomplete genome information. The development of long-read, single molecule, real-time (SMRT) DNA sequencing from Pacific Biosciences, with >10,000 bp average read lengths and a lack of sequence context bias, now allows for the generation of complete genomes in a fully automated workflow. In addition to the genome sequence, DNA methylation is characterized in the process of sequencing. PacBio® sequencing has also been applied to microbial transcriptomes. Long reads enable sequencing of full-length cDNAs allowing for identification of complete gene and operon sequences without the need for transcript assembly. We will highlight several examples where these capabilities have been leveraged in the areas of industrial microbiology, including biocommodities, biofuels, bioremediation, new bacteria with potential commercial applications, antibiotic discovery, and livestock/plant microbiome interactions.


June 1, 2021  |  

Full-length HIV-1 env deep sequencing in a donor with broadly neutralizing V1/V2 antibodies.

Background: Understanding the co-evolution of HIV populations and broadly neutralizing antibodies (bNAbs) may inform vaccine design. Novel long-read, next-generation sequencing methods allow, for the first time, full-length deep sequencing of HIV env populations. Methods: We longitudinally examined HIV-1 env populations (12 time points) in a subtype A infected individual from the IAVI primary infection cohort (Protocol C) who developed bNAbs (62% ID50>50 on a diverse panel of 105 viruses) targeting the V1/V2 loop region. We developed a PacBio single molecule, real-time sequencing protocol to deeply sequence full-length env from HIV RNA. Bioinformatics tools were developed to align env sequences, infer phylogenies, and interrogate escape dynamics of key residues and glycosylation sites. PacBio env sequences were compared to env sequences generated through amplification and cloning. Env dynamics and viral escape motif evolution were interpreted in the context of the development V1/V2-targeting broadly neutralizing antibodies. Results: We collected a median of 6799 (range: 1770-14727) high quality full-length HIV env circular consensus sequences (CCS) per SMRT Cell, per time point. Using only CCS reads comprised of 6 or more passes over the HIV env insert (= 16 kb read length) ensured that our median per-base accuracy was 99.7%. A phylogeny inferred with PacBio and 100 cloned env sequences (10 time points) found the cloned sequences evenly distributed among PacBio sequences. Viral escape from the V1/V2 targeted bNAbs was evident at V2 positions 160, 166, 167, 169 and 181 (HxB2 numbering), exhibiting several distinct escape pathways by 40 months post-infection. Conclusions: Our PacBio full-length env sequencing method allowed unprecedented view and ability to characterize HIV-1 env dynamics throughout the first four years of infection. Longitudinal full-length env deep sequencing allows accurate phylogenetic inference, provides a detailed picture of escape dynamics in epitope regions, and can identify minority variants, all of which will prove critical for increasing our understanding of how env evolution drives the development of antibody breadth.


June 1, 2021  |  

Sequencing complex mixtures of HIV-1 genomes with single-base resolution.

A large number of distinct HIV-1 genomes can be present in a single clinical sample from a patient chronically infected with HIV-1. We examined samples containing complex mixtures of near-full-length HIV-1 genomes. Single molecules were sequenced as near-full-length (9.6 kb) amplicons directly from PCR products without shearing. Mathematical analysis techniques deconvolved the complex mixture of reads into estimates of distinct near-full-length viral genomes with their relative abundances. We correctly estimated the originating genomes to single-base resolution along with their relative abundances for mixtures where the truth was known exactly by independent sequencing methods. Correct estimates were made even when genomes diverged by a single base. Minor abundances of 5% were reliably detected. SMRT Sequencing data contained near-full-length continuous reads for each sample including some runs with greater than 10,000 near-full-length-genome reads in a three-hour collection time. SMRT Sequencing yields long- read sequencing results from individual DNA molecules with a rapid time-to-result. The single-molecule, full-length nature of the sequencing method allows us to estimate variant subspecies and relative abundances even from samples containing complex mixtures of genomes that differ by single bases. These results open the possibility of cost-effective full-genome sequencing of HIV-1 in mixed populations for applications such as incorporated-HIV-1 screening. In screening, genomes can differ by one to many thousands of bases and the ability to measure them can help scientifically inform treatment strategies.


June 1, 2021  |  

Full-length env deep sequencing in a donor with broadly neutralizing V1/V2 antibodies.

Background: Understanding the co-evolution of HIV populations and broadly neutralizing antibody (bNAb) lineages may inform vaccine design. Novel long-read, next-generation sequencing methods allow, for the first time, full-length deep sequencing of HIV env populations. Methods: We longitudinally examined env populations (12 time points) in a subtype A infected individual from the IAVI primary infection cohort (Protocol C) who developed bNAbs (62% ID50>50 on a diverse panel of 105 viruses) targeting the V1/V2 region. We developed a Pacific Biosciences single molecule, real-time sequencing protocol to deeply sequence full-length env from HIV RNA. Bioinformatics tools were developed to align env sequences, infer phylogenies, and interrogate escape dynamics of key residues and glycosylation sites. PacBio env sequences were compared to env sequences generated through amplification and cloning. Env dynamics were interpreted in the context of the development of a V1/V2-targeting bNAb lineage isolated from the donor. Results: We collected a median of 6799 high quality full-length env sequences per timepoint (median per-base accuracy of 99.7%). A phylogeny inferred with PacBio and 100 cloned env sequences (10 time points) found cloned env sequences evenly distributed among PacBio sequences. Phylogenetic analyses also revealed a potential transient intra-clade superinfection visible as a minority variant (~5%) at 9 months post-infection (MPI), and peaking in prevalence at 12MPI (~64%), just preceding the development of heterologous neutralization. Viral escape from the bNAb lineage was evident at V2 positions 160, 166, 167, 169 and 181 (HxB2 numbering), exhibiting several distinct escape pathways by 40MPI. Conclusions: Our PacBio full-length env sequencing method allowed unprecedented characterization of env dynamics and revealed an intra-clade superinfection that was not detected through conventional methods. The importance of superinfection in the development of this donor’s V1/V2-directed bNAb lineage is under investigation. Longitudinal full-length env deep sequencing allows accurate phylogenetic inference, provides a detailed picture of escape dynamics in epitope regions, and can identify minority variants, all of which may prove useful for understanding how env evolution can drive the development of antibody breadth.


June 1, 2021  |  

High-accuracy, single-base resolution of near-full-length HIV genomes.

Background: The HIV-1 proviral reservoir is incredibly stable, even while undergoing antiretroviral therapy, and is seen as the major barrier to HIV-1 eradication. Identifying and comprehensively characterizing this reservoir will be critical to achieving an HIV cure. Historically, this has been a tedious and labor intensive process, requiring high-replicate single-genome amplification reactions, or overlapping amplicons that are then reconstructed into full-length genomes by algorithmic imputation. Here, we present a deep sequencing and analysis method able to determine the exact identity and relative abundances of near-full-length HIV genomes from samples containing mixtures of genomes without shearing or complex bioinformatic reconstruction. Methods: We generated clonal near-full-length (~9 kb) amplicons derived from single genome amplification (SGA) of primary proviral isolates or PCR of well-documented control strains. These clonal products were mixed at various abundances and sequenced as near-full-length (~9 kb) amplicons without shearing. Each mixture yielded many near-full-length HIV-1 reads. Mathematical analysis techniques resolved the complex mixture of reads into estimates of distinct near-full-length viral genomes with their relative abundances. Results: Single Molecule, Real-Time (SMRT) Sequencing data contained near-full-length (~9 kb) continuous reads for each sample including some runs with greater than 10,000 near-full-length-genome reads in a three-hour sequencing run. Our methods correctly recapitulated exactly the originating genomes at a single-base resolution and their relative abundances in both mixtures of clonal controls and SGAs, and these results were validated using independent sequencing methods. Correct resolution was achieved even when genomes differed only by a single base. Minor abundances of 5% were reliably detected. Conclusions: SMRT Sequencing yields long-read sequencing results from individual DNA molecules, a rapid time-to-result. The single-molecule, full-length nature of this sequencing method allows us to estimate variant subspecies and relative abundances with single-nucleotide resolution. This method allows for reference-agnostic and cost-effective full-genome sequencing of HIV-1, which could both further our understanding of latent infection and develop novel and improved tools for quantifying HIV provirus, which will be critical to cure HIV.


June 1, 2021  |  

Low-input long-read sequencing for complete microbial genomes and metagenomic community analysis.

Microbial genome sequencing can be done quickly, easily, and efficiently with the PacBio sequencing instruments, resulting in complete de novo assemblies. Alternative protocols have been developed to reduce the amount of purified DNA required for SMRT Sequencing, to broaden applicability to lower-abundance samples. If 50-100 ng of microbial DNA is available, a 10-20 kb SMRTbell library can be made. A 2 kb SMRTbell library only requires a few ng of gDNA when carrier DNA is added to the library. The resulting libraries can be loaded onto multiple SMRT Cells, yielding more than enough data for complete assembly of microbial genomes using the SMRT Portal assembly program HGAP, plus base-modification analysis. The entire process can be done in less than 3 days by standard laboratory personnel. This approach is particularly important for the analysis of metagenomic communities, in which genomic DNA is often limited. From these samples, full-length 16S amplicons can be generated, prepped with the standard SMRTbell library prep protocol, and sequenced. Alternatively, a 2 kb sheared library, made from a few ng of input DNA, can also be used to elucidate the microbial composition of a community, and may provide information about biochemical pathways present in the sample. In both these cases, 1-2 kb reads with >99% accuracy can be obtained from Circular Consensus Sequencing.


June 1, 2021  |  

Metagenomes of native and electrode-enriched microbial communities from the Soudan Iron Mine.

Despite apparent carbon limitation, anoxic deep subsurface brines at the Soudan Underground Iron Mine harbor active microbial communities. To characterize these assemblages, we performed shotgun metagenomics of native and enriched samples. Following enrichment on poised electrodes and long read sequencing, we recovered from the metagenome the closed, circular genome of a novel Desulfuromonas sp. with remarkable genomic features that were not fully resolved by short read assembly alone. This organism was essentially absent in unenriched Soudan communities, indicating that electrodes are highly selective for putative metal reducers. Native community metagenomes suggest that carbon cycling is driven by methyl-C1 metabolism, in particular methylotrophic methanogenesis. Our results highlight the promising potential for long reads in metagenomic surveys of low-diversity environments.


June 1, 2021  |  

Profiling metagenomic communities using circular consensus and Single Molecule, Real-Time Sequencing.

There are many sequencing-based approaches to understanding complex metagenomic communities spanning targeted amplification to whole-sample shotgun sequencing. While targeted approaches provide valuable data at low sequencing depth, they are limited by primer design and PCR amplification. Whole-sample shotgun experiments generally use short-read, second-generation sequencing, which results in data processing difficulties. For example, reads less than 1 kb in length will likely not cover a complete gene or region of interest, and will require assembly. This not only introduces the possibility of incorrectly combining sequence from different community members, it requires a high depth of coverage. As such, rare community members may not be represented in the resulting assembly. Circular-consensus, single molecule, real-time (SMRT) Sequencing reads in the 1-2 kb range, with >99% accuracy can be efficiently generated for low amounts of input DNA. 10 ng of input DNA sequenced in 4 SMRT Cells would generate >100,000 such reads. While throughput is low compared to second-generation sequencing, the reads are a true random sampling of the underlying community, since SMRT Sequencing has been shown to have no sequence-context bias. Long read lengths mean that that it would be reasonable to expect a high number of the reads to include gene fragments useful for analysis.


June 1, 2021  |  

Analysis of full-length metagenomic 16S genes by Single Molecule, Real-Time Sequencing

High-throughput sequencing of the complete 16S rRNA gene has become a valuable tool for characterizing microbial communities. However, the short reads produced by second-generation sequencing cannot provide taxonomic classification below the genus level. In this study, we demonstrate the capability of PacBio’s Single Molecule, Real-Time (SMRT) Sequencing to generate community profiles using mock microbial community samples from BEI Resources. We also evaluate multiplexing capabilities using PacBio barcodes on pooled samples comprising heterogeneous 16S amplicon populations representing soil, fecal, and mock communities.


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