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Asset Tag: Sequel System

June 1, 2021  |  

Amplification-free, CRISPR-Cas9 targeted enrichment and SMRT Sequencing of repeat-expansion disease causative genomic regions

Targeted sequencing has proven to be economical for obtaining sequence information for defined regions of the genome. However, most target enrichment methods are reliant upon some form of amplification which can negatively impact downstream analysis. For example, amplification removes epigenetic marks present in native DNA, including nucleotide methylation, which are hypothesized to contribute to disease mechanisms in some disorders. In addition, some genomic regions known to be causative of many genetic disorders have extreme GC content and/or repetitive sequences that tend to be recalcitrant to faithful amplification. We have developed a novel, amplification-free enrichment technique that employs the CRISPR/Cas9 system to target individual genes. This method, in conjunction with the long reads, high consensus accuracy, and uniform coverage of SMRT Sequencing, allows accurate sequence analysis of complex genomic regions that cannot be investigated with other technologies. Using this strategy, we have successfully targeted a number of repeat expansion disorder loci (HTT, FMR1, ATXN10, C9orf72).With this data, we demonstrate the ability to isolate thousands of individual on-target molecules and, using the Sequel System, accurately sequence through long repeats regardless of the extreme GC-content. The method is compatible with multiplexing of multiple target loci and multiple samples in a single reaction. Furthermore, because there is no amplification step, this technique also preserves native DNA molecules for sequencing, allowing for the direct detection and characterization of epigenetic signatures. To this end, we demonstrate the detection of 5-mC in the CGG repeat of the FMR1 gene that is responsible for Fragile X syndrome.

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June 1, 2021  |  

Single chromosomal genome assemblies on the Sequel System with Circulomics high molecular weight DNA extraction for microbes

Background: The Nanobind technology from Circulomics provides an elegant HMW DNA extraction solution for genome sequencing of Gram-positive and -negative microbes. Nanobind is a nanostructured magnetic disk that can be used for rapid extraction of high molecular weight (HMW) DNA from diverse sample types including cultured cells, blood, plant nuclei, and bacteria. Processing can be completed in <1 hour for most sample types and can be performed manually or automated with common instruments. Methods:We have validated several critical steps for generating high-quality microbial genome assemblies in a streamlined microbial multiplexing workflow. This new workflow enables high-volume, cost-effective sequencing of up to 16 microbes totaling 30 Mb in genome size on a single SMRT Cell 1M using a target shear size of 10 kb. We also evaluated this method on a pool of four “class 3” microbes that contain >7 kb repeats. Fragment size was increased to ~14 kb, with some fragments >30 kb. Results: Here we present a demonstration of these capabilities using isolates relevant to high-throughput sequencing applications, including common foodborne pathogens (Shigella, Listeria, Salmonella), and species often seen in hospital settings (Klebsiella, Staphylococcus). For nearly all microbes, including difficult-to-assemble class III microbes, we achieved complete de novo microbial assemblies of =5 chromosomal contigs with minimum quality scores of 40 (99.99% accuracy) using data from multiplexed SMRTbell libraries. Each library was sequenced on a single SMRT Cell 1M with the PacBio Sequel System and analyzed with streamlined SMRT Analysis assembly methods. Conclusions: We achieved high-quality, closed microbial genomes using a combination of Circulomics Nanobind extraction and PacBio SMRT Sequencing, along with a newly streamlined workflow that includes automated demultiplexing and push-button assembly.

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June 1, 2021  |  

Joint calling and PacBio SMRT Sequencing for indel and structural variant detection in populations

Fast and effective variant calling algorithms have been crucial to the successful application of DNA sequencing in human genetics. In particular, joint calling – in which reads from multiple individuals are pooled to increase power for shared variants – is an important tool for population surveys of variation. Joint calling was applied by the 1000 Genomes Project to identify variants across many individuals each sequenced to low coverage (about 5-fold). This approach successfully found common small variants, but broadly missed structural variants and large indels for which short-read sequencing has limited sensitivity. To support use of large variants in rare disease and common trait association studies, it is necessary to perform population-scale surveys with a technology effective at detecting indels and structural variants, such as PacBio SMRT Sequencing. For these studies, it is important to have a joint calling workflow that works with PacBio reads. We have developed pbsv, an indel and structural variant caller for PacBio reads, that provides a two-step joint calling workflow similar to that used to build the ExAC database. The first stage, discovery, is performed separately for each sample and consolidates whole genome alignments into a sparse representation of potentially variant loci. The second stage, calling, is performed on all samples together and considers only the signatures identified in the discovery stage. We applied the pbsv joint calling workflow to PacBio reads from twenty human genomes, with coverage ranging from 5-fold to 80-fold per sample for a total of 460-fold. The analysis required only 102 CPU hours, and identified over 800,000 indels and structural variants, including hundreds of inversions and translocations, many times more than discovered with short-read sequencing. The workflow is scalable to thousands of samples. The ongoing application of this workflow to thousands of samples will provide insight into the evolution and functional importance of large variants in human evolution and disease.

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June 1, 2021  |  

A simple segue from Sanger to high-throughput SMRT Sequencing with a M13 barcoding system

High-throughput NGS methods are increasingly utilized in the clinical genomics market. However, short-read sequencing data continues to remain challenged by mapping inaccuracies in low complexity regions or regions of high homology and may not provide adequate coverage within GC-rich regions of the genome. Thus, the use of Sanger sequencing remains popular in many clinical sequencing labs as the gold standard approach for orthogonal validation of variants and to interrogate missed regions poorly covered by second-generation sequencing. The use of Sanger sequencing can be less than ideal, as it can be costly for high volume assays and projects. Additionally, Sanger sequencing generates read lengths shorter than the region of interest, which limits its ability to accurately phase allelic variants. High-throughput SMRT Sequencing overcomes the challenges of both the first- and second-generation sequencing methods. PacBio’s long read capability allows sequencing of full-length amplicons

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June 1, 2021  |  

FALCON-Phase integrates PacBio and HiC data for de novo assembly, scaffolding and phasing of a diploid Puerto Rican genome (HG00733)

Haplotype-resolved genomes are important for understanding how combinations of variants impact phenotypes. The study of disease, quantitative traits, forensics, and organ donor matching are aided by phased genomes. Phase is commonly resolved using familial data, population-based imputation, or by isolating and sequencing single haplotypes using fosmids, BACs, or haploid tissues. Because these methods can be prohibitively expensive, or samples may not be available, alternative approaches are required. de novo genome assembly with PacBio Single Molecule, Real-Time (SMRT) data produces highly contiguous, accurate assemblies. For non-inbred samples, including humans, the separate resolution of haplotypes results in higher base accuracy and more contiguous assembled sequences. Two primary methods exist for phased diploid genome assembly. The first, TrioCanu requires Illumina data from parents and PacBio data from the offspring. The long reads from the child are partitioned into maternal and paternal bins using parent-specific sequences; the separate PacBio read bins are then assembled, generating two fully phased genomes. An alternative approach (FALCON-Unzip) does not require parental information and separates PacBio reads, during genome assembly, using heterozygous SNPs. The length of haplotype phase blocks in FALCON-Unzip is limited by the magnitude and distribution of heterozygosity, the length of sequence reads, and read coverage. Because of this, FALCON-Unzip contigs typically contain haplotype-switch errors between phase blocks, resulting in primary contig of mixed parental origin. We developed FALCON-Phase, which integrates Hi-C data downstream of FALCON-Unzip to resolve phase switches along contigs. We applied the method to a human (Puerto Rican, HG00733) and non-human genome assemblies and evaluated accuracy using samples with trio data. In a cattle genome, we observe >96% accuracy in phasing when compared to TrioCanu assemblies as well as parental SNPs. For a high-quality PacBio assembly (>90-fold Sequel coverage) of a Puerto Rican individual we scaffolded the FALCON-Phase contigs, and re-phased the contigs creating a de novo scaffolded, phased diploid assembly with chromosome-scale contiguity.

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June 1, 2021  |  

No-amp targeted SMRT sequencing using a CRISPR-Cas9 enrichment method

Targeted sequencing of genomic DNA requires an enrichment method to generate detectable amounts of sequencing products. Genomic regions with extreme composition bias and repetitive sequences can pose a significant enrichment challenge. Many genetic diseases caused by repeat element expansions are representative of these challenging enrichment targets. PCR amplification, used either alone or in combination with a hybridization capture method, is a common approach for target enrichment. While PCR amplification can be used successfully with genomic regions of moderate to high complexity, it is the low-complexity regions and regions containing repetitive elements sometimes of indeterminate lengths due to repeat expansions that can lead to poor or failed PCR enrichment. We have developed an enrichment method for targeted SMRT Sequencing on the PacBio Sequel System using the CRISPR-Cas9 system that requires no PCR amplification. Briefly, a preformed SMRTbell library containing the target region of interest is cleaved with Cas9 through direct interaction with a sequence-specific guide RNA. After ligation with new poly(A) hairpin adapters, the asymmetric SMRTbell templates are enriched by magnetic bead separation. This method, paired with SMRT Sequencing’s long reads, high consensus accuracy, and uniform coverage, allows sequencing of genomic regions regardless of challenging sequence context that cannot be investigated with other technologies. The method is amenable to analyzing multiple samples and/or targets in a single reaction. In addition, this method also preserves epigenetic modifications allowing for the detection and characterization of DNA methylation which has been shown to be a key factor in the disease mechanism for some repeat expansion diseases. Here we present results of our latest No-Amp Targeted Sequencing procedure applied to the characterization of CAG triplet repeat expansions in the HTT gene responsible for Huntington’s Disease.

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June 1, 2021  |  

Improving the reference with a diversity panel of sequence-resolved structural variation

Although the accuracy of the human reference genome is critical for basic and clinical research, structural variants (SVs) have been difficult to assess because data capable of resolving them have been limited. To address potential bias, we sequenced a diversity panel of nine human genomes to high depth using long-read, single-molecule, real-time sequencing data. Systematically identifying and merging SVs =50 bp in length for these nine and one public genome yielded 83,909 sequence-resolved insertions, deletions, and inversions. Among these, 2,839 (2.0 Mbp) are shared among all discovery genomes with an additional 13,349 (6.9 Mbp) present in the majority of humans, indicating minor alleles or errors in the reference, which is partially explained by an enrichment for GC-content and repetitive DNA. Genotyping 83% of these in 290 additional genomes confirms that at least one allele of the most common SVs in unique euchromatin are now sequence-resolved. We observe a 9-fold increase within 5 Mbp of chromosome telomeric ends and correlation with de novo single-nucleotide variant mutations showing that such variation is nonrandomly distributed defining potential hotspots of mutation. We identify SVs affecting coding and noncoding regulatory loci improving annotation and interpretation of functional variation. To illustrate the utility of sequence-resolved SVs in resequencing experiments, we mapped 30 diverse high-coverage Illumina-sequenced samples to GRCh38 with and without contigs containing SV insertions as alternate sequences, and we found these additional sequences recover 6.4% of unmapped reads. For reads mapped within the SV insertion, 25.7% have a better mapping quality, and 18.7% improved by 1,000-fold or more. We reveal 72,964 occurrences of 15,814 unique variants that were not discoverable with the reference sequence alone, and we note that 7% of the insertions contain an SV in at least one sample indicating that there are additional alleles in the population that remain to be discovered. These data provide the framework to construct a canonical human reference and a resource for developing advanced representations capable of capturing allelic diversity. We present a summary of our findings and discuss ideas for revealing variation that was once difficult to ascertain.

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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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