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June 1, 2021  |  

Sequencing of expanded CGG repeats in the FMR1 gene.

Alleles of the FMR1 gene with more than 200 CGG repeats generally undergo methylation-coupled gene silencing, resulting in fragile X syndrome, the leading heritable form of cognitive impairment. Smaller expansions (55-200 CGG repeats) result in elevated levels of FMR1 mRNA, which is directly responsible for the late-onset neurodegenerative disorder, fragile X-associated tremor/ataxia syndrome (FXTAS). For mechanistic studies and genetic counseling, it is important to know with precision the number of CGG repeats; however, no existing DNA sequencing method is capable of sequencing through more than ~100 CGG repeats, thus limiting the ability to precisely characterize the disease-causing alleles. The recent development of single molecule, real-time sequencing represents a novel approach to DNA sequencing that couples the intrinsic processivity of DNA polymerase with the ability to read polymerase activity on a single-molecule basis. Further, the accuracy of the method is improved through the use of circular templates, such that each molecule can be read multiple times to produce a circular consensus sequence (CCS). We have succeeded in generating CCS reads representing multiple passes through both strands of repeat tracts exceeding 700 CGGs (>2 kb of 100 percent CG) flanked by native FMR1 sequence, with single-molecule readlengths exceeding 12 kb. This sequencing approach thus enables us to fully characterize the previously intractable CGG-repeat sequence, leading to a better understanding of the distinct associated molecular pathologies. Real-time kinetic data also provides insight into the activity of DNA polymerase inside this unique sequence. The methodology should be widely applicable for studies of the molecular pathogenesis of an increasing number of repeat expansion-associated neurodegenerative and neurodevelopmental disorders, and for the efficient identification of such disorders in the clinical setting.

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June 1, 2021  |  

SMRT Sequencing of whole mitochondrial genomes and its utility in association studies of metabolic disease.

In this study we demonstrate the utility of Single-Molecule Real Time SMRT sequencing to detect variants and to recapitulate whole mitochondrial genomes in an association study of Metabolic syndrome using samples from a well-studied cohort from Micronesia. The Micronesian island of Kosrae is a rare genetic isolate that offers significant advantages for genetic studies of human disease. Kosrae suffers from one of the highest rates of MetS (41%), obesity (52%), and diabetes (17%) globally and has a homogeneous environment making this an excellent population in which to study these significant health problems. We are conducting family-based association analyses aimed at identifying specific mitochondrial variants that contribute to obesity and other co-morbid conditions. We sequenced whole mitochondrial genomes from 10 Kosraen individuals who represent greater than 25 % of the mitochondrial genetic diversity for the entire Kosraen population. Using Pacific Biosciences C2 chemistry, SMRTbell libraries were constructed from pooled, full-length, unsheared 5 kb PCR amplicons, tiling the entire 16.6 kb mtDNA genome. Average read lengths for each sample were between 2500-3000 bp, with 5% of reads between 6,000-8,000 bases, depending on movie lengths. The data generated in this study serve as proof of principle that SMRT Sequencing data can be utilized for identification of high-quality variants and complete mitochondrial genome sequences. These data will be leveraged to identify causative variants for Metabolic syndrome and associated disorders.

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June 1, 2021  |  

Automated, non-hybrid de novo genome assemblies and epigenomes of bacterial pathogens.

Understanding the genetic basis of infectious diseases is critical to enacting effective treatments, and several large-scale sequencing initiatives are underway to collect this information. Sequencing bacterial samples is typically performed by mapping sequence reads against genomes of known reference strains. While such resequencing informs on the spectrum of single-nucleotide differences relative to the chosen reference, it can miss numerous other forms of variation known to influence pathogenicity: structural variations (duplications, inversions), acquisition of mobile elements (phages, plasmids), homonucleotide length variation causing phase variation, and epigenetic marks (methylation, phosphorothioation) that influence gene expression to switch bacteria from non- pathogenic to pathogenic states. Therefore, sequencing methods which provide complete, de novo genome assemblies and epigenomes are necessary to fully characterize infectious disease agents in an unbiased, hypothesis-free manner. Hybrid assembly methods have been described that combine long sequence reads from SMRT DNA Sequencing with short reads (SMRT CCS (circular consensus) or second-generation reads), wherein the short reads are used to error-correct the long reads which are then used for assembly. We have developed a new paradigm for microbial de novo assemblies in which SMRT sequencing reads from a single long insert library are used exclusively to close the genome through a hierarchical genome assembly process, thereby obviating the need for a second sample preparation, sequencing run, and data set. We have applied this method to achieve closed de novo genomes with accuracies exceeding QV50 (>99.999%) for numerous disease outbreak samples, including E. coli, Salmonella, Campylobacter, Listeria, Neisseria, and H. pylori. The kinetic information from the same SMRT Sequencing reads is utilized to determine epigenomes. Approximately 70% of all methyltransferase specificities we have determined to date represent previously unknown bacterial epigenetic signatures. With relatively short sequencing run times and automated analysis pipelines, it is possible to go from an unknown DNA sample to its complete de novo genome and epigenome in about a day.

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June 1, 2021  |  

Automated, non-hybrid de novo genome assemblies and epigenomes of bacterial pathogens

Understanding the genetic basis of infectious diseases is critical to enacting effective treatments, and several large-scale sequencing initiatives are underway to collect this information. Sequencing bacterial samples is typically performed by mapping sequence reads against genomes of known reference strains. While such resequencing informs on the spectrum of single nucleotide differences relative to the chosen reference, it can miss numerous other forms of variation known to influence pathogenicity: structural variations (duplications, inversions), acquisition of mobile elements (phages, plasmids), homonucleotide length variation causing phase variation, and epigenetic marks (methylation, phosphorothioation) that influence gene expression to switch bacteria from non-pathogenic to pathogenic states. Therefore, sequencing methods which provide complete, de novo genome assemblies and epigenomes are necessary to fully characterize infectious disease agents in an unbiased, hypothesis-free manner. Hybrid assembly methods have been described that combine long sequence reads from SMRT DNA sequencing with short, high-accuracy reads (SMRT (circular consensus sequencing) CCS or second-generation reads) to generate long, highly accurate reads that are then used for assembly. We have developed a new paradigm for microbial de novo assemblies in which long SMRT sequencing reads (average readlengths >5,000 bases) are used exclusively to close the genome through a hierarchical genome assembly process, thereby obviating the need for a second sample preparation, sequencing run and data set. We have applied this method to achieve closed de novo genomes with accuracies exceeding QV50 (>99.999%) to numerous disease outbreak samples, including E. coli, Salmonella, Campylobacter, Listeria, Neisseria, and H. pylori. The kinetic information from the same SMRT sequencing reads is utilized to determine epigenomes. Approximately 70% of all methyltransferase specificities we have determined to date represent previously unknown bacterial epigenetic signatures. The process has been automated and requires less than 1 day from an unknown DNA sample to its complete de novo genome and epigenome.

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June 1, 2021  |  

Rapid sequencing of HIV-1 genomes as single molecules from simple and complex samples.

Background: To better understand the relationships among HIV-1 viruses in linked transmission pairs, we sequenced several samples representing HIV transmission pairs from the Zambia Emory HIV Research Project (Lusaka, Zambia) using Single Molecule, Real-Time (SMRT) Sequencing. Methods: Single molecules were sequenced as full-length (9.6 kb) amplicons directly from PCR products without shearing. This resulted in multiple, fully-phased, complete HIV-1 genomes for each patient. We examined Single Genome Amplification (SGA) prepped samples, as well as samples containing complex mixtures of genomes. We detail mathematical techniques used in viral variant subspecies identification, including clustering distance metrics and mutual information, which were used to derive multiple de novo full-length genome sequences for each patient. Whole genome consensus estimates for each sample were made. Genome reads were clustered using a simple distance metric on aligned reads. Appropriate thresholds were chosen to yield distinct clusters of HIV-1 genomes within samples. Mutual information between columns in the genome alignments was used to measure dependence. In silico mixtures of reads from the SGA samples were made to simulate samples containing exactly controlled complex mixtures of genomes and our clustering methods were applied to these complex mixtures. Results: SMRT Sequencing data contained multiple full-length (>9 kb) continuous reads for each sample. Simple whole-genome consensus estimates easily identified transmission pairs. Clustering of genome reads showed diversity differences between samples, allowing characterization of the quasi-species diversity comprising the patient viral populations across the full genome. Mutual information identified possible dependencies of different positions across the full HIV-1 genome. The SGA consensus genomes agreed with prior Sanger sequencing. Our clustering methods correctly segregated reads to their correct originating genome for the synthetic SGA mixtures. Conclusions: SMRT Sequencing yields long-read sequencing results from individual DNA molecules with a rapid time-to-result. These attributes make it a useful tool for continuous monitoring of viral populations. The single-molecule nature of the sequencing method allows us to estimate variant subspecies and relative abundances by counting methods. The results open up the potential for reference-agnostic and cost effective full genome sequencing of HIV-1.

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June 1, 2021  |  

Allele-level sequencing and phasing of full-length HLA class I and II genes using SMRT Sequencing technology

The three classes of genes that comprise the MHC gene family are actively involved in determining donor-recipient compatibility for organ transplant, as well as susceptibility to autoimmune diseases via cross-reacting immunization. Specifically, Class I genes HLA-A, -B, -C, and class II genes HLA-DR, -DQ and -DP are considered medically important for genetic analysis to determine histocompatibility. They are highly polymorphic and have thousands of alleles implicated in disease resistance and susceptibility. The importance of full-length HLA gene sequencing for genotyping, detection of null alleles, and phasing is now widely acknowledged. While DNA-sequencing-based HLA genotyping has become routine, only 7% of the HLA genes have been characterized by allele-level sequencing, while 93% are still defined by partial sequences. The gold-standard Sanger sequencing technology is being quickly replaced by second-generation, high- throughput sequencing methods due to its inability to generate unambiguous phased reads from heterozygous alleles. However, although these short, high-throughput, clonal sequencing methods are better at heterozygous allele detection, they are inadequate at generating full-length haploid gene sequences. Thus, full-length gene sequencing from an enhancer-promoter region to a 3’UTR that includes phasing information without the need for imputation still remains a technological challenge. The best way to overcome these challenges is to sequence these genes with a technology that is clonal in nature and has the longest possible read lengths. We have employed Single Molecule Real-Time (SMRT) sequencing technology from Pacific Biosciences for sequencing full-length HLA class I and II genes.

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June 1, 2021  |  

Using whole exome sequencing and bacterial pathogen sequencing to investigate the genetic basis of pulmonary non-tuberculous mycobacterial infections.

Pulmonary non-tuberculous mycobacterial (PNTM) infections occur in patients with chronic lung disease, but also in a distinct group of elderly women without lung defects who share a common body morphology: tall and lean with scoliosis, pectus excavatum, and mitral valve prolapse. In order to characterize the human host susceptibility to PNTM, we performed whole exome sequencing (WES) of 44 individuals in extended families of patients with active PNTM as well as 55 additional unrelated individuals with PNTM. This unique collection of familial cohorts in PNTM represents an important opportunity for a high yield search for genes that regulate mucosal immunity. An average of 58 million 100bp paired-end Illumina reads per exome were generated and mapped to the hg19 reference genome. Following variant detection and classification, we identified 58,422 potentially high-impact SNPs, 97.3% of which were missense mutations. Segregating variants using the family pedigrees as well as comparisons to the unrelated individuals identified multiple potential variants associated with PNTM. Validations of these candidate variants in a larger PNTM cohort are underway. In addition to WES, we sequenced the genomes of 52 mycobacterial isolates, including 9 from these PNTM patients, to integrate host PNTM susceptibility with mycobacterial genotypes and gain insights into the key factors involved in this devastating disease. These genomes were sequenced using a combination of 454, Illumina, and PacBio platforms and assembled using multiple genome assemblers. The resulting genome sequences were used to identify mycobacterial genotypes associated with virulence, invasion, and drug resistance.

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June 1, 2021  |  

New discoveries from closing Salmonella genomes using Pacific Biosciences continuous long reads.

The newer hierarchical genome assembly process (HGAP) performs de novo assembly using data from a single PacBio long insert library. To assess the benefits of this method, DNA from several Salmonella enterica serovars was isolated from a pure culture. Genome sequencing was performed using Pacific Biosciences RS sequencing technology. The HGAP process enabled us to close sixteen Salmonella subsp. enterica genomes and their associated mobile elements: The ten serotypes include: Salmonella enterica subsp. enterica serovar Enteritidis (S. Enteritidis) S. Bareilly, S. Heidelberg, S. Cubana, S. Javiana and S. Typhimurium, S. Newport, S. Montevideo, S. Agona, and S. Tennessee. In addition, we were able to detect novel methyltransferases (MTases) by using the Pacific Biosciences kinetic score distributions showing that each serovar appears to have a novel methylation pattern. For example while all Salmonella serovars examined so far have methylase specific activity for 5’-GATC-3’/3’-CTAG-5’ and 5’-CAGAG-3’/3’-GTCTC-5’ (underlined base indicates a modification), S. Heidelberg is uniquely specific for 5’-ACCANCC-3’/3’-TGGTNGG-5’, while S. Typhimurium has uniquely methylase specific for 5′-GATCAG-3’/3′- CTAGTC-5′ sites, for the samples examined so far. We believe that this may be due to the unique environments and phages that these serotypes have been exposed to. Furthermore, our analysis identified and closed a variety of plasmids such as mobilization plasmids, antimicrobial resistance plasmids and IncX plasmids carrying a Type IV secretion system (T4SS). The VirB/D4 T4SS apparatus is important in that it assists with rapid dissemination of antibiotic resistance and virulence determinants. Presently, only limited information exists regarding the genotypic characterization of drug resistance in S. Heidelberg isolates derived from various host species. Here, we characterize two S. Heidelberg outbreak isolates from two different outbreaks. Both isolates contain the IncX plasmid of approximately 35 kb, and carried the genes virB1, virB2, virB3/4, virB5, virB6, virB7, virB8, virB9, virB10, virB11, virD2, and virD4, that are associated with the T4SS. In addition, the outbreak isolate associated with ground turkey carries a 4,473 bp mobilization plasmid and an incompatibility group (Inc) I1 antimicrobial resistance plasmid encoding resistance to gentamicin (aacC2), beta-lactam (bl2b_tem), streptomycin (aadAI) and tetracycline (tetA, tetR) while the outbreak isolate associated with chicken breast carries the IncI1 plasmid encoding resistance to gentamicin (aacC2), streptomycin (aadAI) and sulfisoxazole (sul1). Using this new technology we explored the genetic elements present in resistant pathogens which will achieve a better understanding of the evolution of Salmonella.

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June 1, 2021  |  

Long Amplicon Analysis: Highly accurate, full-length, phased, allele-resolved gene sequences from multiplexed SMRT Sequencing data.

The correct phasing of genetic variations is a key challenge for many applications of DNA sequencing. Allele-level resolution is strongly preferred for histocompatibility sequencing where recombined genes can exhibit different compatibilities than their parents. In other contexts, gene complementation can provide protection if deleterious mutations are found on only one allele of a gene. These problems are especially pronounced in immunological domains given the high levels of genetic diversity and recombination seen in regions like the Major Histocompatibility Complex. A new tool for analyzing Single Molecule, Real-Time (SMRT) Sequencing data – Long Amplicon Analysis (LAA) – can generate highly accurate, phased and full-length consensus sequences for multiple genes in a single sequencing run.

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June 1, 2021  |  

Unique haplotype structure determination in human genome using Single Molecule, Real-Time (SMRT) Sequencing of targeted full-length fosmids.

Determination of unique individual haplotypes is an essential first step toward understanding how identical genotypes having different phases lead to different biological interpretations of function, phenotype, and disease. Genome-wide methods for identifying individual genetic variation have been limited in their ability to acquire phased, extended, and complete genomic sequences that are long enough to assemble haplotypes with high confidence. We explore a recombineering approach for isolation and sequencing of a tiling of targeted fosmids to capture interesting regions from human genome. Each individual fosmid contains large genomic fragments (~35?kb) that are sequenced with long-read SMRT technology to generate contiguous long reads. These long reads can be easily de novo assembled for targeted haplotype resolution within an individual’s genomes. The P5-C3 chemistry for SMRT Sequencing generated contiguous, full-length fosmid sequences of 30 to 40 kb in a single read, allowing assembly of resolved haplotypes with minimal data processing. The phase preserved in fosmid clones spanned at least two heterozygous variant loci, providing the essential detail of precise haplotype structures. We show complete assembly of haplotypes for various targeted loci, including the complex haplotypes of the KIR locus (~150 to 200 kb) and conserved extended haplotypes (CEHs) of the MHC region. This method is easily applicable to other regions of the human genome, as well as other genomes.

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June 1, 2021  |  

Resolving the ‘dark matter’ in genomes.

Second-generation sequencing has brought about tremendous insights into the genetic underpinnings of biology. However, there are many functionally important and medically relevant regions of genomes that are currently difficult or impossible to sequence, resulting in incomplete and fragmented views of genomes. Two main causes are (i) limitations to read DNA of extreme sequence content (GC-rich or AT-rich regions, low complexity sequence contexts) and (ii) insufficient read lengths which leave various forms of structural variation unresolved and result in mapping ambiguities.

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June 1, 2021  |  

Rapid full-length Iso-Seq cDNA sequencing of rice mRNA to facilitate annotation and identify splice-site variation.

PacBio’s new Iso-Seq technology allows for rapid generation of full-length cDNA sequences without the need for assembly steps. The technology was tested on leaf mRNA from two model O. sativa ssp. indica cultivars – Minghui 63 and Zhenshan 97. Even though each transcriptome was not exhaustively sequenced, several thousand isoforms described genes over a wide size range, most of which are not present in any currently available FL cDNA collection. In addition, the lack of an assembly requirement provides direct and immediate access to complete mRNA sequences and rapid unraveling of biological novelties.

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June 1, 2021  |  

The use of PacBio and Hi-C data in de novo assembly of the goat genome.

Generating de novo reference genome assemblies for non-model organisms is a laborious task that often requires a large amount of data from several sequencing platforms and cytogenetic surveys. By using PacBio sequence data and new library creation techniques, we present a de novo, high quality reference assembly for the goat (Capra hircus) that demonstrates a primarily sequencing-based approach to efficiently create new reference assemblies for Eukaryotic species. This goat reference genome was created using 38 million PacBio P5-C3 reads generated from a San Clemente goat using the Celera Assembler PBcR pipeline with PacBio read self-correction. In order to generate the assembly, corrected and filtered reads were pre-assembled into a consensus model using PBDAGCON, and subsequently assembled using the Celera Assembly version 8.2. We generated 5,902 contigs using this method with a contig N50 size of 2.56 megabases. In order to generate chromosome-sized scaffolds, we used the LACHESIS scaffolding method to identify cis-chromosome Hi-C interactions in order to link contigs together. We then compared our new assembly to the existing goat reference assembly to identify large-scale discrepancies. In our comparison, we identified 247 disagreements between the two assemblies consisting of 123 inversions and 124 chromosome-contig relocations. The high quality of this data illustrates how this methodology can be used to efficiently generate new reference genome assemblies without the use of expensive fluorescent cytometry or large quantities of data from multiple sequencing platforms.

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June 1, 2021  |  

Progress on the reassembly and annotation of the goat genome.

The goat (Capra hircus) remains an important livestock species due to the species’ ability to forage and provide milk, meat and wool in arid environments. The current goat reference assembly and annotation borrows heavily from other loosely related livestock species, such as cattle, and may not reflect the unique structural and functional characteristics of the species. We present preliminary data from a new de novo reference assembly for goat that primarily utilizes 38 million PacBio P5-C3 reads generated from an inbred San Clemente goat. This assembly consists of only 5,902 contigs with a contig N50 size of 2.56 megabases which were grouped into scaffolds using cis-chromosome associations generated by the analysis of Hi-C sequence reads. To provide accurate functional genetic annotation, we utilized existing RNA-seq data and generated new data consisting of over 784 million reads from a combination of 27 different developmental timepoints/tissues. This dataset provides a tangible improvement over existing goat genomics resources by correcting over 247 misassemblies in the current goat reference genome and by annotating predicted gene models with actual expressed transcript data. Our goal is to provide a high quality resource to researchers to enable future genomic selection and functional prediction within the field of goat genomics.

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June 1, 2021  |  

Draft genome of horseweed illuminates expansion of gene families that might endow herbicide resistance.

Conyza canadensis (horseweed), a member of the Compositae (Asteraceae) family, was the first broadleaf weed to evolve resistance to glyphosate. Horseweed, one of the most problematic weeds in the world, is a true diploid (2n=2X=18) with the smallest genome of any known agricultural weed (335 Mb). Thus, it is an appropriate candidate to help us understand the genetic and genomic basis of weediness. We undertook a draft de novo genome assembly of horseweed by combining data from multiple sequencing platforms (454 GS-FLX, Illumina HiSeq 2000 and PacBio RS) using various libraries with different insertion sizes (~350 bp, ~600 bp, ~3 kb and ~10 kb) of a Tennessee-accessed, glyphosate-resistant horseweed biotype. From 116.3 Gb (~350× coverage) of data, the genome was assembled into 13,966 scaffolds with N50 =33,561 bp. The assembly covered 92.3% of the genome, including the complete chloroplast genome (~153 kb) and a nearly-complete mitochondrial genome (~450 kb in 120 scaffolds). The nuclear genome is comprised of 44,592 protein-coding genes. Genome re-sequencing of seven additional horseweed biotypes was performed. These sequence data were assembled and used to analyze genome variation. Simple sequence repeat and single nucleotide polymorphisms were surveyed. Genomic patterns were detected that associated with glyphosate-resistant or –susceptible biotypes. The draft genome will be useful to better understand weediness, the evolution of herbicide resistance, and to devise new management strategies. The genome will also be useful as another reference genome in the Compositae. To our knowledge, this paper represents the first published draft genome of an agricultural weed.

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