Introduction: Long-read sequencing has been applied successfully to assemble genomes and detect structural variants. However, due to high raw-read error rates (10-15%), it has remained difficult to call small variants from long reads. Recent improvements in library preparation and sequencing chemistry have increased length, accuracy, and throughput of PacBio circular consensus sequencing (CCS) reads, resulting in 10-20kb reads with average read quality above 99%. Materials and Methods: We sequenced a 12kb library from human reference sample HG002 to 18-fold coverage on the PacBio Sequel II System with three SMRT Cells 8M. The CCS algorithm was used to generate highly-accurate (average 99.8%) 11.4kb reads, which were mapped to the hg19 reference with pbmm2. We detected small variants using Google DeepVariant with a model trained for CCS and phased the variants using WhatsHap. Structural variants were detected with pbsv. Variant calls were evaluated against Genome in a Bottle (GIAB) benchmarks. Results: With these reads, DeepVariant achieves SNP and Indel F1 scores of 99.82% and 96.70% against the GIAB truth set, and pbsv achieves 95.94% recall on structural variants longer than 50bp. Using WhatsHap, small variants were phased into haplotype blocks with 105kb N50. The improved mappability of long reads allows us to align to and detect variants in medically relevant genes such as CYP2D6 and PMS2 that have proven “difficult-to-map” with short reads. Conclusions: These highly-accurate long reads combine the mappability and ability to detect structural variants of long reads with the accuracy and ability to detect small variants of short reads.
Single cell isoform sequencing (scIso-Seq) identifies novel full-length mRNAs and cell type-specific expression
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.
Unbiased characterization of metagenome composition and function using HiFi sequencing on the PacBio Sequel II System
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.
The PacBio Iso-Seq method produces high-quality, full-length transcripts and can characterize a whole transcriptome with a single SMRT Cell 8M. We sequenced an Alzheimer whole brain sample on a single SMRT Cell 8M on the Sequel II System. Using the Iso-Seq bioinformatics pipeline followed by SQANTI2 analysis, we detected 162,290 transcripts for 17,670 genes up to 14 kb in length. More than 60% of the transcripts are novel isoforms, the vast majority of which have supporting cage peak data and polyadenylation signals, demonstrating the utility of long-read sequencing for human disease research.
HiFi reads (>99% accurate, 15-20 kb) from the PacBio Sequel II System consistently provide complete and contiguous genome assemblies. In addition to completeness and contiguity, accuracy is of critical importance, as assembly errors complicate downstream analysis, particularly by disrupting gene frames. Metrics used to assess assembly accuracy include: 1) in-frame gene count, 2) kmer consistency, and 3) concordance to a benchmark, where discordances are interpreted as assembly errors. Genome in a Bottle (GIAB) provides a benchmark for the human genome with estimated accuracy of 99.9999% (Q60). Concordance for human HiFi assemblies exceeds Q50, which provides excellent genomes for downstream analysis, but presents a challenge that any new benchmark must significantly exceed Q50 or the discordance will represent the error rate of the benchmark. To establish benchmarks for Oryza sativa and Drosophila melanogaster, we collected draft references, Illumina short reads, and PacBio HiFi reads. By species, the benchmark was defined as regions of normal coverage that are not within 5 bp of a small variant or 50 bp of a structural variant. For both species, the benchmark regions span around 60% of the genome and HiFi assemblies achieve Q50 accuracy, which is notably more accurate than assemblies with other technologies and meets typical standards for a finished, reference-grade assembly. Here we present a protocol to generate benchmarks for any sample that rival the GIAB benchmark in accuracy. These benchmarks allow the comparison and improvement of genome assemblies and highlight the superior accuracy of assemblies generated with PacBio HiFi reads.
High-quality insect genomes are essential resources to understand insect biology and to combat them as disease vectors and agricultural pests. It is desirable to sequence a single individual for a reference genome to avoid complications from multiple alleles during de novo assembly. However, the small body size of many insects poses a challenge for the use of long-read sequencing technologies which often have high DNA-input requirements. The previously described PacBio Low DNA Input Protocol starts with ~100 ng of DNA and allows for high-quality assemblies of single mosquitoes among others and represents a significant step in reducing such requirements. Here, we describe a new library protocol with a further 20-fold reduction in the DNA input quantity. Starting with just 5 ng of high molecular weight DNA, we describe the successful sequencing and de novo genome assembly of a single male sandfly (Phlebotomus papatasi, the main vector of the Old World cutaneous leishmaniasis), using HiFi data generated on the PacBio Sequel II System and assembled with FALCON. The assembly shows a high degree of completeness (>97% of BUSCO genes are complete), contiguity (contig N50 of 1 Mb), and sequence accuracy (>98% of BUSCO genes without frameshift errors). This workflow has general utility for small-bodied insects and other plant and animal species for both focused research studies or in conjunction with large-scale genome projects.
Long read mRNA sequencing methods such as PacBio’s Iso-Seq method offers high-throughput transcriptome profiling in prokaryotic and eukaryotic cells. By avoiding the transcript assembly problem and instead sequencing full-length cDNA, Iso-Seq has emerged as the most reliable technology for annotating isoforms and, in turn, improving proteome predictions in a wide variety of organisms. Improvements in library preparation, sequencing throughput, and bioinformatics has enabled the Iso-Seq method to be complete solution for transcript characterization. The Iso-Seq Express kit is a one-day library prep requiring 60-300 ng of total RNA. The PacBio Sequel II system produces 4-5 million full-length reads, sufficient to profile a whole human transcriptome. Finally, the SQANTI2 software is a powerful tool for categorizing the complex isoforms against reference annotations, while also incorporating orthogonal information such as CAGE peak data, public RNA-seq junction data, and ORF predictions.
Unbiased characterization of metagenome composition and function using HiFi sequencing on the PacBio Sequel II System
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 one sequencing 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 typically requires high coverage for error correction, these benefits have in the past been lost for low-abundance species. The introduction of the Sequel II System has enabled a new, higher throughput, assembly-optional data type that addresses these challenges: HiFi reads. HiFi reads combine QV20 accuracy with long read lengths, eliminating the need for assembly for most metagenome applications, including gene discovery and metabolic pathway reconstruction. In fact, the read lengths and accuracy of HiFi data match or outperform the quality metrics of most metagenome assemblies, enabling cost-effective recovery of intact genes and operons while omitting the resource intensive and data-inefficient assembly step. Here we present the application of HiFi sequencing to both mock and human fecal samples using full-length 16S and shotgun methods. This proof-of-concept work demonstrates the unique strengths of the HiFi method. First, the high correspondence between the expected community composition,16S and shotgun profiling data reflects low context bias. In addition, every HiFi read yields ~5-8 predicted genes, without assembly, using standard tools. If assembly is desired, excellent results can be achieved with Canu and contig binning tools. In summary, HiFi sequencing is a new, cost-effective option for high-resolution functional profiling of metagenomes which complements existing short read workflows.
HiFi sequencing on the PacBio Sequel II System enables complete microbial community profiling of complex metagenomic samples using whole genome shotgun sequences. With HiFi sequencing, highly accurate long reads overcome the challenges posed by the presence of intergenic and extragenic repeat elements in microbial genomes, thus greatly improving phylogenetic profiling and sequence assembly. Recent improvements in library construction protocols enable HiFi sequencing starting from as low as 5 ng of input DNA. Here, we demonstrate comparative analyses of a control sample of known composition and a human fecal sample from varying amounts of input genomic DNA (1 ug, 200 ng, 5 ng), and present the corresponding library preparation workflows for standard, low input, and Ultra-Low methods. We demonstrate that the metagenome assembly, taxonomic assignment, and gene finding analyses are comparable across all methods for both samples, providing access to HiFi sequencing even for DNA-limited sample types.
In this webinar, Sarah Kingan, Staff Scientist, PacBio, presents recent work on de novo genome assembly using PacBio HiFi reads. She highlights the benefits of HiFi data for base level…
User Group Meeting: Unbiased characterization of metagenome composition and function using HiFi sequencing on the PacBio Sequel II System
In this PacBio User Group Meeting presentation, PacBio scientist Meredith Ashby shared several examples of analysis — from full-length 16S sequencing to shotgun sequencing — showing how SMRT Sequencing enables…
In this PacBio User Group Meeting presentation, Shawn Trojahn of Washington State University describes transcriptome sequencing and analysis of grizzly bears focused on differential gene expression during hibernation and active…
Understanding interactions among plants and the complex communities of organisms living on, in and around them requires more than one experimental approach. A new method for de novo metagenome assembly,…
The release of the PacBio Sequel II System in 2019 brought dramatic throughput improvements and protocols for producing a new data type, highly accurate long reads or HiFi reads. PacBio…