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June 1, 2021

Workflow for processing high-throughput, Single Molecule, Real-Time Sequencing data for analyzing the microbiome of patients undergoing fecal microbiota transplantation

There are many sequencing-based approaches to understanding complex metagenomic communities spanning targeted amplification to whole-sample shotgun sequencing. While targeted approaches provide valuable data at low sequencing depth, they are limited by primer design and PCR. Whole-sample shotgun experiments generally use short-read sequencing, which results in data processing difficulties. For example, reads less than 500 bp in length will rarely cover a complete gene or region of interest, and will require assembly. This not only introduces the possibility of incorrectly combining sequence from different community members, it requires a high depth of coverage. As such, rare community members may not be represented in the resulting assembly. Circular-consensus, Single Molecule, Real-Time (SMRT) Sequencing reads in the 1-3 kb range, with >99% accuracy can be generated using the previous generation PacBio RS II or, in much higher throughput, using the new Sequel System. While throughput is lower compared to short-read sequencing methods, the reads are a true random sampling of the underlying community since SMRT Sequencing has been shown to have very low sequence-context bias. With single-molecule reads >1 kb at >99% consensus accuracy, it is reasonable to expect a high percentage of reads to include genes or gene fragments useful for analysis without the need for de novo assembly. Here we present the results of circular consensus sequencing for an individual’s microbiome, before and after undergoing fecal microbiota transplantation (FMT) in order to treat a chronic Clostridium difficile infection. We show that even with relatively low sequencing depth, the long-read, assembly-free, random sampling allows us to profile low abundance community members at the species level. We also show that using shotgun sampling with long reads allows a level of functional insight not possible with classic targeted 16S, or short read sequencing, due to entire genes being covered in single reads.

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June 1, 2021

Multiplexing strategies for microbial whole genome SMRT Sequencing

As the throughput of the PacBio Systems continues to increase, so has the desire to fully utilize SMRT Cell sequencing capacity to multiplex microbes for whole genome sequencing. Multiplexing is readily achieved by incorporating a unique barcode for each microbe into the SMRTbell adapters and using a streamlined library preparation process. Incorporating barcodes without PCR amplification prevents the loss of epigenetic information and the generation of chimeric sequences, while eliminating the need to generate separate SMRTbell libraries. We multiplexed the genomes of up to 8 unique strains of H. pylori. Each genome was sheared and processed through adapter ligation in a single, addition-only reaction. The barcoded samples were pooled in equimolar quantities and a single SMRTbell library was prepared. We demonstrate successful de novo microbial assembly from all multiplexes tested (2- through 8-plex) using data generated from a single SMRTbell library, run on a single SMRT Cell with the PacBio RS II, and analyzed with standard SMRT Analysis assembly methods. This strategy was successful using both small (1.6 Mb, H. pylori) and medium (5 Mb, E. coli) genomes. This protocol facilitates the sequencing of multiple microbial genomes in a single run, greatly increasing throughput and reducing costs per genome.

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June 1, 2021

Complete telomere-to-telomere de novo assembly of the Plasmodium falciparum genome using long-read sequencing

Sequence-based estimation of genetic diversity of Plasmodium falciparum, the most lethal malarial parasite, has proved challenging due to a lack of a complete genomic assembly. The skewed AT-richness (~80.6% (A+T)) of its genome and the lack of technology to assemble highly polymorphic sub-telomeric regions that contain clonally variant, multigene virulence families (i.e. var and rifin) have confounded attempts using short-read NGS technologies. Using single molecule, real-time (SMRT) sequencing, we successfully compiled all 14 nuclear chromosomes of the P. falciparum genome from telomere-to-telomere in single contigs. Specifically, amplification-free sequencing generated reads of average length 12 kb, with =50% of the reads between 15.5 and 50 kb in length. A hierarchical genome assembly process (HGAP), was used to assemble the P. falciparum genome de novo. This assembly accurately resolved centromeres (~90-99% (A+T)) and sub-telomeric regions, and identified large insertions and duplications in the genome that added extra genes to the var and rifin virulence families, along with smaller structural variants such as homopolymer tract expansions. These regions can be used as markers for genetic diversity during comparative genome analyses. Moreover, identifying the polymorphic and repetitive sub-telomeric sequences of parasite populations from endemic areas might inform the link between structural variation and phenotypes such as virulence, drug resistance and disease transmission.

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June 1, 2021

WGS SMRT Sequencing of patient samples from a fecal microbiota transplant trial

Fecal samples were obtained from human subjects in the first blinded, placebo-controlled trial to evaluate the efficacy and safety of fecal microbiota transplant (FMT) for treatment of recurrent C. difficile infection. Samples included pre-and post-FMT transplant, post-placebo transplant, and the donor control; samples were taken at 2 and 8 week post-FMT. Sequencing was done on the PacBio Sequel System, with the goal of obtaining high quality sequences covering whole genes or gene clusters, which will be used to better understand the relationship between the composition and functional capabilities of intestinal microbiomes and patient health. Methods: Samples were randomly sheared to 2-3 kb fragments, a sufficient length to cover most genes, and SMRTbell libraries were prepared using standard protocols. Libraries were run on the Sequel System, which has a throughput of hundreds of thousands of reads per SMRT Cell, adequate yield to sample the complex microbiomes of post-transplant and donor samples.Results: Here we characterize samples, describe library prep methods and detail Sequel System operation, including run conditions. Descriptive statistics of data output (primary analysis) are presented, along with SMRT Analysis reports on circular consensus sequence (CCS) reads generated using an updated algorithm (CCS2). Final sequencing yields are filtered at various levels of predicted accuracy from 90% to 99.9%. Previous studies done using the PacBio RS II System demonstrated the ability to profile at the species level, and in some cases the strain level, and provided functional insight. Conclusions: These results demonstrate that the Sequel System is well-suited for characterization of complex microbial communities, with the ability for high-throughput generation of extremely accurate single-molecule sequences, each several kilobases in length. The entire process from shearing and library prep through sequencing and CCS analysis can be completed in less than 48 hours.

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June 1, 2021

Whole gene sequencing of KIR-3DL1 with SMRT Sequencing and the distribution of allelic variants in different ethnic groups

The killer-cell immunoglobulin-like receptor (KIR) gene family are involved in immune modulation during viral infection, autoimmune disease and in allogeneic stem cell transplantation. Most KIR gene diversity studies and their impact on the transplant outcome is performed by gene absence/presence assays. However, it is well known that KIR gene allelic variations have biological significance. Allele level typing of KIR genes has been very challenging until recently due to the homologous nature of those genes and very long intronic sequences. SMRT (Single Molecule Real-Time) Sequencing generates average long reads of 10 to 15 kb and allows us to obtain in-phase long sequence reads. We have developed a PCR assay for SMRT Sequencing on the PacBio RS II platform in our lab for 3DL1 whole gene sequencing. This approach allows us to obtain allele level typing for 3DL1 genes and could serve as a model to type other KIR genes at allelic level.

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June 1, 2021

Multiplex target enrichment using barcoded multi-kilobase fragments and probe-based capture technologies

Target enrichment capture methods allow scientists to rapidly interrogate important genomic regions of interest for variant discovery, including SNPs, gene isoforms, and structural variation. Custom targeted sequencing panels are important for characterizing heterogeneous, complex diseases and uncovering the genetic basis of inherited traits with more uniform coverage when compared to PCR-based strategies. With the increasing availability of high-quality reference genomes, customized gene panels are readily designed with high specificity to capture genomic regions of interest, thus enabling scientists to expand their research scope from a single individual to larger cohort studies or population-wide investigations. Coupled with PacBio® long-read sequencing, these technologies can capture 5 kb fragments of genomic DNA (gDNA), which are useful for interrogating intronic, exonic, and regulatory regions, characterizing complex structural variations, distinguishing between gene duplications and pseudogenes, and interpreting variant haplotyes. In addition, SMRT® Sequencing offers the lowest GC-bias and can sequence through repetitive regions. We demonstrate the additional insights possible by using in-depth long read capture sequencing for key immunology, drug metabolizing, and disease causing genes such as HLA, filaggrin, and cancer associated genes.

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June 1, 2021

Collection of major HLA allele sequences in Japanese population toward the precise NGS based HLA DNA typing at the field 4 level

We previously reported on the use of the Ion PGM next generation sequencing (NGS) platform to genotype HLA class I and class II genes by a super-high resolution, single-molecule, sequence-based typing (SS-SBT) method (Shiina et al. 2012). However, HLA alleles could not be assigned at the field 4 level at some HLA loci such as DQA1, DPA1 and DPB1 because the SNP and indel densities were too low to identify and separate both of the phases. In this regard, we have now added the single molecule, real-time (SMRT) DNA sequencer PacBio RS II method to our analysis in order to test whether it might determine the HLA allele sequences in some of the loci with which we previously had difficulties. In this study, we report on sequence-based genotyping of entire HLA gene sequences from the promoter-enhancer region to 3’UTR of the major HLA loci (A, B, C, DRB1, DRB345, DQA1, DQB1, DPA1 and DPB1) using 46 Japanese reference subjects who represented a distribution of more than 99.5% of the HLA alleles at each of the HLA loci and the PacBio RS II and Ion PGM systems.

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June 1, 2021

Analysis of 37,000 Caucasian samples reveals tight linkage between SNP RS9277534 and high resolution typing of HLA-DPB1

HLA-DPB1 mismatching between patients and unrelated donors is known to increase the risk of acute graft-versus-host-disease (GvHD) after hematopoietic stem cell transplantation. If only HLA-DPB1 mismatched donors are available, the genotype defined by the Single Nucleotide Polymorphism (SNP) rs9277534 can be used to select mismatched donors that are well-tolerated. However, since rs9277534 resides within the 3’ untranslated region (UTR), it usually is not analyzed during DPB1 routine typing.

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June 1, 2021

A method for the identification of variants in Alzheimer’s disease candidate genes and transcripts using hybridization capture combined with long-read sequencing

Alzheimer’s disease (AD) is a devastating neurodegenerative disease that is genetically complex. Although great progress has been made in identifying fully penetrant mutations in genes such as APP, PSEN1 and PSEN2 that cause early-onset AD, these still represent a very small percentage of AD cases. Large-scale, genome-wide association studies (GWAS) have identified at least 20 additional genetic risk loci for the more common form of late-onset AD. However, the identified SNPs are typically not the actual risk variants, but are in linkage disequilibrium with the presumed causative variant (Van Cauwenberghe C, et al., The genetic landscape of Alzheimer disease: clinical implications and perspectives. Genet Med 2015;18:421-430). Long-read sequencing together with hybrid-capture targeting technologies provides a powerful combination to target candidate genes/transcripts of interest. Shearing the genomic DNA to ~5 kb fragments and then capturing with probes that span the whole gene(s) of interest can provide uniform coverage across the entire region, identifying variants and allowing for phasing into two haplotypes. Furthermore, capturing full-length cDNA from the same sample using the same capture probes can also provide an understanding of isoforms that are generated and allow them to be assigned to their corresponding haplotype. Here we present a method for capturing genomic DNA and cDNA from an AD sample using a panel of probes targeting approximately 20 late-onset AD candidate genes which includes CLU, ABCA7, CD33, TREM2, TOMM40, PSEN2, APH1 and BIN1. By combining xGen® Lockdown® probes with SMRT Sequencing, we provide completely sequenced candidate genes as well as their corresponding transcripts. In addition, we are also able to evaluate structural variants that due to their size, repetitive nature, or low sequence complexity have been un-sequenceable using short-read technologies.

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June 1, 2021

Characterization of the Poly-T variants in the TOMM40 gene using PacBio long reads

Genes associated with several neurological disorders have been shown to be highly polymorphic. Targeted sequencing of these genes using NGS technologies is a powerful way to increase the cost-effectiveness of variant discovery and detection. However, for a comprehensive view of these target genes, it is necessary to have complete and uniform coverage across regions of interest. Unfortunately, short-read sequencing technologies are not ideal for these types of studies as they are prone to mis-mapping and often fail to span repetitive regions. Targeted sequencing with PacBio long reads provides the unique advantage of single-molecule observations of complex genomic regions. PacBio long reads not only provide continuous sequence data though polymorphic or repetitive regions, but also have no GC bias. Here we describe the characterization of the poly-T locus in TOMM40, a gene known to be associated with progression to Alzheimer’s, using PacBio long reads. Probes were designed to capture a 20 kb region comprising the TOMM40 and ApoE genes. Target regions were captured in multiple cell lines and sequencing libraries made using standard sample preparation methods. We will present our results on the poly-T structural variants that we observed in TOMM40 in these cell lines. We will also present our results on probe design optimization and barcoding strategies for a cost-effective solution.

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June 1, 2021

Enrichment of unamplified DNA and long-read SMRT Sequencing to unlock repeat expansion disorders

Nucleotide repeat expansions are a major cause of neurological and neuromuscular disease in humans, however, the nature of these genomic regions makes characterizing them extremely challenging. Accurate DNA sequencing of repeat expansions using short-read sequencing technologies is difficult, as short-read technologies often cannot read through regions of low sequence complexity. Additionally, these short reads do not span the entire region of interest and therefore sequence assembly is required. Lastly, most target enrichment methods are reliant upon amplification which adds the additional caveat of PCR bias. We have developed a novel, amplification-free enrichment technique that employs the CRISPR/Cas9 system for specific targeting of individual human genes. This method, in conjunction with PacBio’s long reads and uniform coverage, enables sequencing of complex genomic regions that cannot be investigated with other technologies. Using human genomic DNA samples and this strategy, we have successfully targeted the loci of Huntington’s Disease (HTT; CAG repeat), Fragile X (FMR1; CGG repeat), ALS (C9orf72; GGGGCC repeat), and Spinocerebellar ataxia type 10 (SCA10; variable ATTCT repeat) for examination. With this data, we demonstrate the ability to isolate hundreds of individual on-target molecules in a single SMRT Cell and accurately sequence through long repeat stretches, regardless of the extreme GC-content. The method is compatible with multiplexing of multiple targets and multiple samples in a single reaction. This technique also captures native DNA molecules for sequencing, allowing for the possibility of direct detection and characterization of epigenetic signatures.

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June 1, 2021

Phased human genome assemblies with Single Molecule, Real-Time Sequencing

In recent years, human genomic research has focused on comparing short-read data sets to a single human reference genome. However, it is becoming increasingly clear that significant structural variations present in individual human genomes are missed or ignored by this approach. Additionally, remapping short-read data limits the phasing of variation among individual chromosomes. This reduces the newly sequenced genome to a table of single nucleotide polymorphisms (SNPs) with little to no information as to the co-linearity (phasing) of these variants, resulting in a “mosaic” reference representing neither of the parental chromosomes. The variation between the homologous chromosomes is lost in this representation, including allelic variations, structural variations, or even genes present in only one chromosome, leading to lost information regarding allelic-specific gene expression and function. To address these limitations, we have made significant progress integrating haplotype information directly into genome assembly process with long reads. The FALCON-Unzip algorithm leverages a string graph assembly approach to facilitate identification and separation of heterozygosity during the assembly process to produce a highly contiguous assembly with phased haplotypes representing the genome in its diploid state. The outputs of the assembler are pairs of sequences (haplotigs) containing the allelic differences, including SNPs and structural variations, present in the two sets of chromosomes. The development and testing of our de-novo diploid assembler was facilitated and carefully validated using inbred reference model organisms and F1 progeny, which allowed us to ascertain the accuracy and concordance of haplotigs relative to the two inbred parental assemblies. Examination of the results confirmed that our haplotype-resolved assemblies are “Gold Level” reference genomes having a quality similar to that of Sanger-sequencing, BAC-based assembly approaches. We further sequenced and assembled two well-characterized human samples into their respective phased diploid genomes with gap-free contig N50 sizes greater than 23 Mb and haplotig N50 sizes greater than 380 kb. Results of these assemblies and a comparison between the haplotype sets are presented.

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June 1, 2021

Characterizing haplotype diversity at the immunoglobulin heavy chain locus across human populations using novel long-read sequencing and assembly approaches

The human immunoglobulin heavy chain locus (IGH) remains among the most understudied regions of the human genome. Recent efforts have shown that haplotype diversity within IGH is elevated and exhibits population specific patterns; for example, our re-sequencing of the locus from only a single chromosome uncovered >100 Kb of novel sequence, including descriptions of six novel alleles, and four previously unmapped genes. Historically, this complex locus architecture has hindered the characterization of IGH germline single nucleotide, copy number, and structural variants (SNVs; CNVs; SVs), and as a result, there remains little known about the role of IGH polymorphisms in inter-individual antibody repertoire variability and disease. To remedy this, we are taking a multi-faceted approach to improving existing genomic resources in the human IGH region. First, from whole-genome and fosmid-based datasets, we are building the largest and most ethnically diverse set of IGH reference assemblies to date, by employing PacBio long-read sequencing combined with novel algorithms for phased haplotype assembly. In total, our effort will result in the characterization of >15 phased haplotypes from individuals of Asian, African, and European descent, to be used as a representative reference set by the genomics and immunogenetics community. Second, we are utilizing this more comprehensive sequence catalogue to inform the design and analysis of novel targeted IGH genotyping assays. Standard targeted DNA enrichment methods (e.g., exome capture) are currently optimized for the capture of only very short (100’s of bp) DNA segments. Our platform uses a modified bench protocol to pair existing capture-array technologies with the enrichment of longer fragments of DNA, enabling the use of PacBio sequencing of DNA segments up to 7 Kb. This substantial increase in contiguity disambiguates many of the complex repeated structures inherent to the locus, while yielding the base pair fidelity required to call SNVs. Together these resources will establish a stronger framework for further characterizing IGH genetic diversity and facilitate IGH genomic profiling in the clinical and research settings, which will be key to fully understanding the role of IGH germline variation in antibody repertoire development and disease.

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June 1, 2021

Structural variant combining Illumina and low-coverage PacBio

Structural variant calling combining Illumina and low-coverage Pacbio Detection of large genomic variation (structural variants) has proven challenging using short-read methods. Long-read approaches which can span these large events have promise to dramatically expand the ability to accurately call structural variants. Although sequencing with Pacific Biosciences (Pacbio) long-read technology has become increasingly high throughput, generating high coverage with the technology can still be limiting and investigators often would like to know what pacbio coverages are adequate to call structural variants. Here, we present a method to identify a substantially higher fraction of structural variants in the human genome using low-coverage pacbio data by multiple strategies for ensembling data types and algorithms. Algorithmically, we combine three structural variant callers: PBHoney by Adam English, Sniffles by Fritz Sedlazeck, and Parliament by Adam English (which we have modified to improve for speed). Parliament itself uses a combination of Pacbio and Illumina data with a number of short-read callers (Breakdancer, Pindel, Crest, CNVnator, Delly, and Lumpy). We show that the outputs of these three programs are largely complementary to each other, with each able to uniquely access different sets of structural variants at different coverages. Combining them together can more than double the recall of true structural variants from a truth set relative to sequencing with Illumina alone, with substantial improvements even at low pacbio coverages (3x – 7x). This allows us to present for the first time cost-benefit tradeoffs to investigators about how much pacbio sequencing will yield what improvements in SV-calling. This work also builds upon the foundational work of Genome in a Bottle led by Justin Zook in establishing a truth set for structural variants in the Ashkenazim-Jewish trio data recently released. This work demonstrates the power of this benchmark set – one of the first of its kind for structural variation data – to help understand and refine the accuracies of calling structural variants with a number of approaches.

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June 1, 2021

Alternative splicing in FMR1 premutations carriers

Over 40% of males and ~16% of female carriers of a FMR1 premutation allele (55-200 CGG repeats) are at risk for developing Fragile X-associated Tremor/Ataxia Syndrome (FXTAS), an adult onset neurodegenerative disorder while, about 20% of female carriers will develop Fragile X-associated Primary Ovarian Insufficiency (FXPOI), in addition to a number of adult-onset clinical problems (FMR1 associated disorders). Marked elevation in FMR1 mRNA levels have been observed with premutation alleles and the resulting RNA toxicity is believed to be the leading molecular mechanism proposed for these disorders. The FMR1 gene, as many housekeeping genes, undergoes alternative splicing. Using long-read isoform sequencing (SMRT) and qRT-PCR we have recently reported that, although the relative abundance of all FMR1 mRNA isoforms is significantly increased in the premutation group compared to controls, there is a disproportionate increase, relative to the overall increase in mRNA, in the abundance of isoforms spliced at both exons 12 and 14. In total, we confirmed the existence of 16 out of 24 predicted isoforms in our samples. However, it is unknown, which isoforms, when overexpressed, may contribute to the premutation pathology. To address this question we have further defined the transcriptional FMR1 isoforms distribution pattern in different tissues, including heart, muscle, brain and testis derived from FXTAS premutation carriers and age-matched controls. Preliminary data indicates the presence of a transcriptional signature of the FMR1 gene, which clusters more by individual than by tissue type. We identified additional isoforms than the 16 reported in our previous study, including a group with particular splice patterns that were observed only in premutations but not in controls. Our findings suggest that the characterization of expression levels of the different FMR1 isoforms is fundamental for understanding the regulation of the FMR1 gene as well as for elucidating the mechanism(s) by which “toxic gain of function” of the FMR1 mRNA may play a role in FXTAS and/or in the other FMR1-associated conditions. In addition to the elevated levels of FMR1 isoforms, the altered abundance/ratio of the corresponding FMRP isomers may affect the overall function of FMRP in premutations.

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