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Asset Tag: long-read sequencing

June 1, 2021

Full-length transcriptome sequencing of melanoma cell line complements long-read assessment of genomic rearrangements

Transcriptome sequencing has proven to be an important tool for understanding the biological changes in cancer genomes including the consequences of structural rearrangements. Short read sequencing has been the method of choice, as the high throughput at low cost allows for transcript quantitation and the detection of even rare transcripts. However, the reads are generally too short to reconstruct complete isoforms. Conversely, long-read approaches can provide unambiguous full-length isoforms, but lower throughput has complicated quantitation and high RNA input requirements has made working with cancer samples challenging. Recently, the COLO 829 cell line was sequenced to 50-fold coverage with PacBio SMRT Sequencing. To validate and extend the findings from this effort, we have generated long-read transcriptome data using an updated PacBio Iso-Seq method, the results of which will be shared at the AACR 2019 General Meeting. With this complimentary transcriptome data, we demonstrate how recent innovations in the PacBio Iso-Seq method sample preparation and sequencing chemistry have made long-read sequencing of cancer transcriptomes more practical. In particular, library preparation has been simplified and throughput has increased. The improved protocol has reduced sample prep time from several days to one day while reducing the sample input requirements ten-fold. In addition, the incorporation of unique molecular identifier (UMI) tags into the workflow has improved the bioinformatics analysis. Yield has also increased, with v3 sequencing chemistry typically delivering > 30 Gb per SMRT Cell 1M. By integrating long and short read data, we demonstrate that the Iso-Seq method is a practical tool for annotating cancer genomes with high-quality transcript information.

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June 1, 2021

Structural variant detection with long read sequencing reveals driver and passenger mutations in a melanoma cell line

Past large scale cancer genome sequencing efforts, including The Cancer Genome Atlas and the International Cancer Genome Consortium, have utilized short-read sequencing, which is well-suited for detecting single nucleotide variants (SNVs) but far less reliable for detecting variants larger than 20 base pairs, including insertions, deletions, duplications, inversions and translocations. Recent same-sample comparisons of short- and long-read human reference genome data have revealed that short-read resequencing typically uncovers only ~4,000 structural variants (SVs, =50 bp) per genome and is biased towards deletions, whereas sequencing with PacBio long-reads consistently finds ~20,000 SVs, evenly balanced between insertions and deletions. This discovery has important implications for cancer research, as it is clear that SVs are both common and biologically important in many cancer subtypes, including colorectal, breast and ovarian cancer. Without confident and comprehensive detection of structural variants, it is unlikely we have a sufficiently complete picture of all the genomic changes that impact cancer development, disease progression, treatment response, drug resistance, and relapse. To begin to address this unmet need, we have sequenced the COLO829 tumor and matched normal lymphoblastoid cell lines to 49- and 51-fold coverage, respectively, with PacBio SMRT Sequencing, with the goal of developing a high-confidence structural variant call set that can be used to empirically evaluate cost-effective experimental designs for larger scale studies and develop structural variation calling software suitable for cancer genomics. Structural variant calling revealed over 21,000 deletions and 19,500 insertions larger than 20 bp, nearly four times the number of events detected with short-read sequencing. The vast majority of events are shared between the tumor and normal, with about 100 putative somatic deletions and 400 insertions, primarily in microsatellites. A further 40 rearrangements were detected, nearly exclusively in the tumor. One rearrangement is shared between the tumor and normal, t(5;X) which disrupts the mismatch repeat gene MSH3, and is likely a driver mutation. Generating high-confidence call sets that cover the entire size-spectrum of somatic variants from a range of cancer model systems is the first step in determining what will be the best approach for addressing an ongoing blind spot in our current understanding of cancer genomes. Here the application of PacBio sequencing to a melanoma cancer cell line revealed thousands of previously overlooked variants, including a mutation likely involved in tumorogenesis.

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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.

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June 1, 2021

Structural variant detection in crops using low-fold coverage long-read sequencing

Genomics studies have shown that the insertions, deletions, duplications, translocations, inversions, and tandem repeat expansions in the structural variant (SV) size range (>50 bp) contribute to the evolution of traits and often have significant associations with agronomically important phenotypes. However, most SVs are too small to detect with array comparative genomic hybridization and too large to reliably discover with short-read DNA sequencing. While de novo assembly is the most comprehensive way to identify variants in a genome, recent studies in human genomes show that PacBio SMRT Sequencing sensitively detects structural variants at low coverage. Here we present SV characterization in the major crop species Oryza sativa subsp. indica (rice) with low-fold coverage of long reads. In addition, we provide recommendations for sequencing and analysis for the application of this workflow to other important agricultural species.

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June 1, 2021

High-resolution evaluation of gut microbiota associated with intestinal maturation in early preterm neonates

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.

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June 1, 2021

Comparison of sequencing approaches applied to complex soil metagenomes to resolve proteins of interest

Background: Long-read sequencing presents several potential advantages for providing more complete gene profiling of metagenomic samples. Long reads can capture multiple genes in a single read, and longer reads typically result in assemblies with better contiguity, especially for higher abundance organisms. However, a major challenge with using long reads has been the higher cost per base, which may lead to insufficient coverage of low-abundance species. Additionally, lower single-pass accuracy can make gene discovery for low-abundance organisms difficult. Methods: To evaluate the pros and cons of long reads for metagenomics, we directly compared PacBio and Illumina sequencing on a soil-derived sample, which included spike-in controls of known concentrations of pure referenced samples. For PacBio sequencing, a 10 kb library was sequenced on the Sequel System with 3.0 chemistry. Highly accurate long reads (HiFi reads) with Q20 and higher were generated for downstream analyses using PacBio Circular Consensus Sequencing (CCS) mode. Results were assessed according to the following criteria: DNA extraction capacity, bioinformatics pipeline status, % of proteins with ambiguous AA’s, total unique error-free genes/$1000, total proteins observed in spike-ins/$1000, proteins of interest/$1000, median length of contigs with proteins, and assembly requirements. Results: Both methods had areas of superior performance. DNA extraction capacity was higher for Illumina, the bioinformatics pipeline is well-tested, and there was a lower proportion of proteins with ambiguous AA’s. On the other hand, with PacBio, twice as many unique error-free genes, twice as many total proteins from spike-ins, and ~6 times more proteins of interest were found per $1000 cost. PacBio data produced on average 5 times longer contigs capturing proteins of interest. Additionally, assembly was not required for gene or protein finding, as was the case with Illumina data. Conclusions: In this comparison of PacBio Sequel System with Illumina NextSeq on a complex microbiome, we conclude that the sequencing system of choice may vary, depending on the goals and resources for the project. PacBio sequencing requires a longer DNA extraction method, and the bioinformatics pipeline may require development. On the other hand, the Sequel System generates hundreds of thousands of long HiFi reads per SMRT Cell, producing more genes, more proteins, and longer contigs, thereby offering more information about the metagenomic samples for a lower cost.

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June 1, 2021

Microbiome profiling at the strain level using rRNA amplicons

Strain level microbiome profiling is needed for a full understanding of how microbial communities influence human health. Microbiome profiling of rRNA gene amplicons is a well-understood method that is rapid and inexpensive, but standard 16S rRNA gene methods generally cannot differentiate closely related strains. Whole genome/shotgun microbiome profiling is considered a higher-resolution alternative, but with decreased throughput and significantly increased sequencing costs and analysis burden. With both methods there are also challenges with microbial lysis, DNA preparation, and taxonomic analysis. Specialized microbiome-focused protocols were developed to achieve strain-level taxonomic differentiation using a rapid, high throughput rRNA gene assay. The protocol integrates lysis and DNA preparation improvements with a unique high information content amplicon and associated novel database to enable taxonomic differentiation of closely related microbial strains.

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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.

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June 1, 2021

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.

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June 1, 2021

Sequencing the previously unsequenceable using amplification-free targeted enrichment powered by CRISPR/Cas9

Genomic regions with extreme base composition bias and repetitive sequences have long proven challenging for targeted enrichment methods, as they rely upon some form of amplification. Similarly, most DNA sequencing technologies struggle to faithfully sequence regions of low complexity. This has especially been true for repeat expansion disorders such as Fragile X syndrome, Huntington’s disease and various Ataxias, where the repetitive elements range from several hundreds of bases to tens of kilobases. We have developed a robust, amplification-free targeted enrichment technique, called No-Amp Targeted Sequencing, that employs the CRISPR/Cas9 system. In conjunction with Single Molecule, Real-Time (SMRT) Sequencing, which delivers long reads spanning the entire repeat expansion, high consensus accuracy, and uniform coverage, these previously inaccessible regions are now accessible. This method is completely amplification-free, therefore removing any PCR errors and biases from the experiment. Furthermore, this technique also preserves native DNA molecules, allowing for direct detection and characterization of epigenetic signatures. The No-Amp method is a two-day protocol, compatible with multiplexing of multiple targets and samples in a single reaction, using as little as 1 µg of genomic DNA input per sample. We have successfully targeted a number of repeat expansion disorder loci (HTT, FMR1, ATXN10, C9orf72) with alleles as long as >2700 repeat unites (>13 kb). Using the No-Amp method we have isolated hundreds of individual on-target molecules, allowing for reliable repeat size estimation, mosaicism detection and identification of interruption sequences – all aspects of repeat expansion disorders which are important for better understanding the underlying disease mechanisms.

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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.

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June 1, 2021

TLA & long-read sequencing: Efficient targeted sequencing and phasing of the CFTR gene

Background: The sequencing and haplotype phasing of entire gene sequences improves the understanding of the genetic basis of disease and drug response. One example is cystic fibrosis (CF). Cystic fibrosis transmembrane conductance regulator (CFTR) modulator therapies have revolutionized CF treatment, but only in a minority of CF subjects. Observed heterogeneity in CFTR modulator efficacy is related to the range of CFTR mutations; revertant mutations can modify the response to CFTR modulators, and other intronic variations in the ~200 kb CFTR gene have been linked to disease severity. Heterogeneity in the CFTR gene may also be linked to differential responses to CFTR modulators. The Targeted Locus Amplification (TLA) technology from Cergentis can be used to selectively amplify, sequence and phase the entire CFTR gene. With PacBio long-read SMRT Sequencing, TLA amplicons are sequenced intact and long-range phasing information of all fragments in entire amplicons is retrieved. Experimental Design and Methods: The TLA process produces amplicons consisting of 5-10 proximity ligated DNA fragments. TLA was performed on cell line and genomic DNA from Coriell GM12878, which has few heterozygous SNVs in CFTR, and the IB3 cell line, with known haplotypes but heterozygous for the delta508 mutation. All sample types were prepared with high and low density TLA primer sets, targeting coverage of >100 kb of the CFTR gene. Conclusion: We have demonstrated the power and utility of TLA with long-read SMRT Sequencing as a valuable research tool in sequencing and phasing across very long regions of the human genome. This process can be done in an efficient manner, multiplexing multiple genes and samples per SMRT Cell in a process amenable to high-throughput sequencing.

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June 1, 2021

High-quality human genomes achieved through HiFi sequence data and FALCON-Unzip 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.

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June 1, 2021

Comprehensive structural and copy-number variant detection with long reads

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.

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June 1, 2021

Full-Length RNA-seq of Alzheimer brain on the PacBio Sequel II System

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.

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