Learn how to cost-effectively level up your metagenomics research from expert bioinformaticians. PacBio HiFi sequencing is setting a new standard for quality and resolution in metagenome sequencing thanks to significant…
In this SMRT Science Journal Club talk, Mikhail Kolmogorov from the University of California Santa Cruz discusses his computational approach to the generation of lineage-resolved complete MAGs by precision phasing.
In this talk, speakers will describe the importance of high accuracy and long read length for generating closed bacterial assemblies. Speakers will also share examples of how hard-to-assemble domains and…
In this talk, speakers provide an understanding of how highly accurate long-read sequencing of extended 16S amplicons enables the identification of metagenome community members at higher taxonomic resolution than short-read…
The Sequel II and IIe Systems are powered by Single Molecule, Real-Time (SMRT) Sequencing, a technology proven to produce highly accurate long reads, known as HiFi reads, for sequencing data you and your customers can trust.
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The bacteria living on and within us can impact health, disease, and even our behavior, but there is still much to learn about the breadth of their effects. The torrent of new discoveries unleashed by high-throughput sequencing has captured the imagination of scientists and the public alike. Scientists at Second Genome are hoping to apply these insights to improve human health, leveraging their bioinformatics expertise to mine bacterial communities for potential therapeutics. Recently they teamed up with scientists at PacBio to explore how long-read sequencing might supplement their short-read-based pipeline for gene discovery, using an environmental sample as a test case. They were especially interested in identifying unique, complete, and error-free gene clusters in metagenomic assemblies.
Many scientists are using PacBio Single Molecule, Real-Time (SMRT) Sequencing to explore the genomes and transcriptomes of a wide variety of marine species and ecosystems. These studies are already adding to our understanding of how marine species adapt and evolve, contributing to conservation efforts, and informing how we can optimize food production through efficient aquaculture.
Highly accurate long reads – HiFi reads – with single-molecule resolution make Single Molecule, Real-Time (SMRT) Sequencing ideal for full-length 16S rRNA sequencing, shotgun metagenomic profiling, and metagenome assembly.
In this video Shawn Levy, Discovery Life Sciences’ Chief Scientific Officer, along with Cheryl Heiner, PacBio Principal Scientist, discuss the advantages of HudsonAlpha Discovery’s specialized sequencing services for PacBio HiFi…
In this talk, speakers provide an overview of PacBio-recommended tools for metagenome sequencing analysis, where to download example test data, the typical performance for HiFi metagenome sequencing of fecal samples,…
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
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.
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.
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.
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