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June 1, 2021

Comprehensive variant detection in a human genome with highly accurate long reads

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.


June 1, 2021

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.


June 1, 2021

The value of long read amplicon sequencing for clinical applications

NGS is commonly used for amplicon sequencing in clinical applications to study genetic disorders and detect disease-causing mutations. This approach can be plagued by limited ability to phase sequence variants and makes interpretation of sequence data difficult when pseudogenes are present. Long-read highly accurate amplicon sequencing can provide very accurate, efficient, high throughput (through multiplexing) sequences from single molecules, with read lengths largely limited by PCR. Data is easy to interpret; phased variants and breakpoints are present within high fidelity individual reads. Here we show SMRT Sequencing of the PMS2 and OPN1 (MW and LW) genes using the Sequel System. Homologous regions make NGS and MLPA results very difficult to interpret.


June 1, 2021

Every species can be a model: Reference-quality PacBio genomes from single insects

A high-quality reference genome is an essential resource for primary and applied research across the tree of life. Genome projects for small-bodied, non-model organisms such as insects face several unique challenges including limited DNA input quantities, high heterozygosity, and difficulty of culturing or inbreeding in the lab. Recent progress in PacBio library preparation protocols, sequencing throughput, and read accuracy address these challenges. We present several case studies including the Red Admiral (Vanessa atalanta), Monarch Butterfly (Danaus plexippus), and Anopheles malaria mosquitoes that highlight the benefits of sequencing single individuals for de novo genome assembly projects, and the ease at which these projects can be conducted by individual research labs. Sampled individuals may originate from lab colonies of interest to the research community or be sourced from the wild to better capture natural variation in a focal population. Where genomic DNA quantities are limited, the PacBio Low DNA Input Protocol requires ~100 ng of input DNA. Low DNA input samples with 500 Mb genome size or less can be multiplexed on a single SMRT Cell 8M on the Sequel II System. For samples with more abundant DNA quantity, size-selected libraries may be constructed to maximize sequencing yield. Both low DNA input and size-selected libraries can be used to generate HiFi reads, whose quality is Q20 or above (1% error or less) and lengths range from 10 – 25 kb. With HiFi reads, de novo assembly computation is greatly simplified relative to long read methods due to smaller sequence file sizes and more rapid analysis, resulting in highly accurate, contiguous, complete, and haplotype-resolved assemblies.


June 1, 2021

A high-quality PacBio insect genome from 5 ng of input DNA

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.


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.


June 1, 2021

Metagenomic analysis of type II diabetes gut microbiota using PacBio HiFi reads reveals taxonomic and functional differences

In the past decade, the human microbiome has been increasingly shown to play a major role in health. For example, imbalances in gut microbiota appear to be associated with Type II diabetes mellitus (T2DM) and cardiovascular disease. Coronary artery disease (CAD) is a major determinant of the long-term prognosis among T2DM patients, with a 2- to 4-fold increased mortality risk when present. However, the exact microbial strains or functions implicated in disease need further investigation. From a large study with 523 participants (185 healthy controls, 186 T2DM patients without CAD, and 106 T2DM patients with CAD), 3 samples from each patient group were selected for long read sequencing. Each sample was prepared and sequenced on one Sequel II System SMRT Cell, to assess whether long accurate PacBio HiFi reads could yield additional insights to those made using short reads. Each of the 9 samples was subject to metagenomic assembly and binning, taxonomic classification and functional profiling. Results from metagenomic assembly and binning show that it is possible to generate a significant number of complete MAGs (Metagenome Assembled Genomes) from each sample, with over half of the high-quality MAGs being represented by a single circular contig. We show that differences found in taxonomic and functional profiles of healthy versus diabetic patients in the small 9-sample study align with the results of the larger study, as well as with results reported in literature. For example, the abundances of beneficial short- chain fatty acid (SCFA) producers such as Phascolarctobacterium faecium and Faecalibacterium prausnitzii were decreased in T2DM gut microbiota in both studies, while the abundances of quinol and quinone biosynthesis pathways were increased as compared to healthy controls. In conclusion, metagenomic analysis of long accurate HiFi reads revealed important taxonomic and functional differences in T2DM versus healthy gut microbiota. Furthermore, metagenome assembly of long HiFi reads led to the recovery of many complete MAGs and a significant number of complete circular bacterial chromosome sequences.


June 1, 2021

Comprehensive variant detection in a human genome with highly accurate long reads

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 15-20kb reads with average read quality above 99%. Materials and Methods: We sequenced a library from human reference sample HG002 to 18-fold coverage on the PacBio Sequel II with two SMRT Cells 8M. The CCS algorithm was used to generate highly accurate (average 99.9%) 12.9kb 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 99.70% and 96.59% against the GIAB truth set, and pbsv achieves 97.72% recall on structural variants longer than 50bp. Using WhatsHap, small variants were phased into haplotype blocks with 145kb 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.


June 1, 2021

A workflow for the comprehensive detection and prioritization of variants in human genomes with PacBio HiFi reads

PacBio HiFi reads (minimum 99% accuracy, 15-25 kb read length) have emerged as a powerful data type for comprehensive variant detection in human genomes. The HiFi read length extends confident mapping and variant calling to repetitive regions of the genome that are not accessible with short reads. Read length also improves detection of structural variants (SVs), with recall exceeding that of short reads by over 30%. High read quality allows for accurate single nucleotide variant and small indel detection, with precision and recall matching that of short reads. While many tools have been developed to take advantage of these qualities of HiFi reads, there is no end-to-end workflow for the filtering and prioritization of variants uniquely detected with long reads for rare and undiagnosed disease research. We have developed a flexible, modular workflow and web portal for variant analysis from HiFi reads and applied it to a set of rare disease cases unsolved by short-read whole genome sequencing. We expect that broad application of long-read variant detection workflows will solve many more rare disease cases. We have made these tools available at https://github.com/williamrowell/pbRUGD-workflow, and we hope they serve a starting point for developing a robust analysis framework for long read variant detection for rare diseases.


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