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.
Interested to learn about pangenomes? Explore this guide to learn how they provide a more complete picture of the core genes of a given species and how that can provide better biological understanding.
The study of genomics has revolutionized our understanding of science, but the field of transcriptomics grew with the need to explore the functional impacts of genetic variation. While different tissues in an organism may share the same genomic DNA, they can differ greatly in what regions are transcribed into RNA and in their patterns of RNA processing. By reviewing the history of transcriptomics, we can see the advantages of RNA sequencing using a full-length transcript approach become clearer.
Explore how highly accurate long-read sequencing enabled sequencing the large and highly complex California redwood genome.
With Single Molecule, Real-Time (SMRT) Sequencing and the Sequel Systems, you can easily and affordably sequence complete transcript isoforms in genes of interest or across the entire transcriptome. The Iso-Seq method allows users to generate full-length cDNA sequences up to 10 kb in length — with no assembly required — to confidently characterize full-length transcript isoforms.
Discover the benefits of HiFi reads and learn how highly accurate long-read sequencing provides a single technology solution across a range of applications.
With PacBio single-cell RNA sequencing using the Iso-Seq method, you can now distinguish between alternative transcript isoforms at the single-cell level. The highly accurate long reads (HiFi reads) can span the entire 5′ to 3′ end of a transcript, allowing a high-resolution view of isoform diversity and revealing cell-to-cell heterogeneity without the need for assembly.
PacBio HiFi reads provide both long read lengths (up to 25 kb) and high accuracy (>99.9%) to quickly and affordably generate contiguous, complete, and correct de novo genome assemblies of even the most complex genomes.
This landmark study by members of the Telomere-to-Telomer Consortium is the first fully complete assembly to be produced 20 years after the initial drafts of the human genome.
Leaky gut, or intestinal barrier immaturity with elevated intestinal permeability, is the proximate cause of susceptibility to necrotizing enterocolitis in preterm neonates. We recently revealed intestinal barrier maturation was associated with exclusive breastfeeding, less antibiotic exposure, most importantly, altered composition of the gut microbiota. However, sequencing short regions of 16S rRNA gene amplicon failed to identify the specific bacterial groups associated with improved or aberrant intestinal permeability. In this study, we performed high-throughput amplicon sequencing of the full length 16S rRNA gene with single-nucleotide resolution for a cohort of 66 preterm neonates born at 24-33 weeks of gestation who had stool collected daily for 21 postnatal days. We assessed their intestinal permeability by measuring urine non-metabolized sugar probes lactulose and rhamnose during the first 7-10 days of life. We observed that intestinal barrier maturation was positively correlated with changes in specific amplicon sequence variants of species of Clostridiales and Bifidobacterium, while leaky gut was associated with specific strains of Escherichia coli. These results are promising in that they support the use of stool microbial biomarkers for the rapid, non-invasive, and cost-effective assessment of intestinal maturation in neonates.
Single cell RNA-seq (scRNA-seq) is an emerging field for characterizing cell heterogeneity in complex tissues. However, most scRNA-seq methodologies are limited to gene count information due to short read lengths. Here, we combine the microfluidics scRNA-seq technique, Drop-Seq, with PacBio Single Molecule, Real-Time (SMRT) Sequencing to generate full-length transcript isoforms that can be confidently assigned to individual cells. We generated single cell Iso-Seq (scIso-Seq) libraries for chimp and human cerebral organoid samples on the Dolomite Nadia platform and sequenced each library with two SMRT Cells 8M on the PacBio Sequel II System. We developed a bioinformatics pipeline to identify, classify, and filter full-length isoforms at the single-cell level. We show that scIso-Seq reveals full-length isoform information not accessible using short reads that can reveal differences between cell types and amongst different species.
Recent work comparing metagenomic sequencing methods indicates that a comprehensive picture of the taxonomic and functional diversity of complex communities will be difficult to achieve with short-read technology alone. While the lower cost of short reads has enabled greater sequencing depth, the greater contiguity of long-read assemblies and lack of GC bias in SMRT Sequencing has enabled better gene finding. However, since long-read assembly requires high coverage for error correction, the benefits of unbiased coverage have in the past been lost for low abundance species. SMRT Sequencing performance improvements and the introduction of the Sequel II System has enabled a new, high throughput data type uniquely suited to metagenome characterization: HiFi reads. HiFi reads combine high accuracy with read lengths up to 15 kb, eliminating the need for assembly for most microbiome applications, including functional profiling, gene discovery, and metabolic pathway reconstruction. Here we present the application of the HiFi data type to enable a new method of analyzing metagenomes that does not require assembly.
De novo assemblies of human genomes from accurate (85-90%), continuous long reads (CLR) now approach the human reference genome in contiguity, but the assembly base pair accuracy is typically below QV40 (99.99%), an order-of-magnitude lower than the standard for finished references. The base pair errors complicate downstream interpretation, particularly false positive indels that lead to false gene loss through frameshifts. PacBio HiFi sequence data, which are both long (>10 kb) and very accurate (>99.9%) at the individual sequence read level, enable a new paradigm in human genome assembly. Haploid human assemblies using HiFi data achieve similar contiguity to those using CLR data and are highly accurate at the base level1. Furthermore, HiFi assemblies resolve more high-identity sequences such as segmental duplications2. To enable HiFi assembly in diploid human samples, we have extended the FALCON-Unzip assembler to work directly with HiFi reads. Here we present phased human diploid genome assemblies from HiFi sequencing of HG002, HG005, and the Vertebrate Genome Project (VGP) mHomSap1 trio on the PacBio Sequel II System. The HiFi assemblies all exceed the VGP’s quality guidelines, approaching QV50 (99.999%) accuracy. For HG002, 60% of the genome was haplotype-resolved, with phase-block N50 of 143Kbp and phasing accuracy of 99.6%. The overall mean base accuracy of the assembly was QV49.7. In conclusion, HiFi data show great promise towards complete, contiguous, and accurate diploid human assemblies.
To comprehensively detect large variants in human genomes, we have extended pbsv – a structural variant caller for long reads – to call copy-number variants (CNVs) from read-clipping and read-depth signatures. In human germline benchmark samples, we detect more than 300 CNVs spanning around 10 Mb, and we call hundreds of additional events in re-arranged cancer samples. Long-read sequencing of diverse humans has revealed more than 20,000 insertion, deletion, and inversion structural variants spanning more than 12 Mb in a typical human genome. Most of these variants are too large to detect with short reads and too small for array comparative genome hybridization (aCGH). While the standard approaches to calling structural variants with long reads thrive in the 50 bp to 10 kb size range, they tend to miss exactly the large (>50 kb) copy-number variants that are called more readily with aCGH and short reads. Standard algorithms rely on reference-based mapping of reads that fully span a variant or on de novo assembly; and copy-number variants are often too large to be spanned by a single read and frequently involve segmentally duplicated sequence that is not yet included in most de novo assemblies.
Introduction: Long-read PacBio SMRT Sequencing has been applied successfully to assemble genomes and detect structural variants. However, due to high raw read error rates of 10-15%, it has remained difficult to call small variants from long reads. Recent improvements in library preparation, sequencing chemistry, and instrument yield have increased length, accuracy, and throughput of PacBio Circular Consensus (CCS) reads, resulting in 10-20 kb “HiFi” reads with mean read quality above 99%. Materials and Methods: We sequenced 11 kb size-selected libraries from the Genome in a Bottle (GIAB) human reference samples HG001, HG002, and HG005 to approximately 30-fold coverage on the Sequel II System with six SMRT Cells 8M each. The CCS algorithm was used to generate highly accurate (average 99.8%) reads of mean length 10-11 kb, which were then mapped to the hs37d5 reference with pbmm2. We detected small variants using Google DeepVariant and compared these variant calls to GIAB benchmarks. Small variants were then phased with WhatsHap. Results: With these long, highly accurate CCS reads, DeepVariant achieves high SNP and Indel accuracy against the GIAB benchmark truth set for all three reference samples. Using WhatsHap, small variants were phased into haplotype blocks with N50 from 82 to 146 kb. The improved mappability of long reads allows detection of variants in many medically relevant genes such as CYP2D6and PMS2that have proven ‘difficult-to-map’ with short reads. We show that small variant precision and recall remain high down to 15-fold coverage. Conclusions: These highly accurate long reads combine the mappability of noisy long reads with the accuracy and small variant detection utility of short reads, which will allow the detection and phasing of variants in regions that have proven recalcitrant to short read sequencing and variant detection.
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