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Auto Tag: Short read

June 1, 2021  |  

Profiling metagenomic communities using circular consensus and Single Molecule, Real-Time Sequencing.

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 amplification. Whole-sample shotgun experiments generally use short-read, second-generation sequencing, which results in data processing difficulties. For example, reads less than 1 kb in length will likely not 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 1-2 kb range, with >99% accuracy can be efficiently generated for low amounts of input DNA. 10 ng of input DNA sequenced in 4 SMRT Cells would generate >100,000 such reads. While throughput is low compared to second-generation sequencing, the reads are a true random sampling of the underlying community, since SMRT Sequencing has been shown to have no sequence-context bias. Long read lengths mean that that it would be reasonable to expect a high number of the reads to include gene fragments useful for analysis.

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June 1, 2021  |  

Making the most of long reads: towards efficient assemblers for reference quality, de novo reconstructions

2015 SMRT Informatics Developers Conference Presentation Slides: Gene Myers, Ph.D., Founding Director, Systems Biology Center, Max Planck Institute delivered the keynote presentation. He talked about building efficient assemblers, the importance of random error distribution in sequencing data, and resolving tricky repeats with very long reads. He also encouraged developers to release assembly modules openly, and noted that data should be straightforward to parse since sharing data interfaces is easier than sharing software interfaces.

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June 1, 2021  |  

Phased full-length SMRT Sequencing of HLA DPB1

Aim: In contrast to exon-based HLA-typing approaches, whole gene genotyping crucially depends on full-length sequences submitted to the IMGT/HLA Database. Currently, full-length sequences are provided for only 7 out of 520 HLA-DPB1 alleles. Therefore, we developed a fully phased whole-gene sequencing approach for DPB1, to facilitate further exploration of the allelic structure at this locus. Methods: Primers were developed flanking the UTR-regions of DPB1 resulting in a 12 kb amplicon. Using a 4-primer approach, secondary primers containing barcodes were combined with the gene-specific primers to obtain barcoded full-gene amplicons in a single amplification step. Amplicons were pooled, purified, and ligated to SMRT bells (i.e. annealing points for sequencing primers) following standard protocols from Pacific Biosciences. Taking advantage of the SMRT chemistry, pools of 48 amplicons were sequenced full length in single runs on a Pacific Biosciences RSII instrument. Demultiplexing was performed using the SMRT portal. Sequence analysis was performed using the NGSengine software (GenDx). Results: We analyzed a set of 48 randomly picked samples. With 3 exceptions due to PCR failure, all genotype assignments conformed to standard genotyping results based on exons 2 and 3. Allelic proportions for heterozygous positions were evenly distributed (range 0.4 – 0.6) for all samples, suggesting unbiased amplifications. Despite the high per-read raw error rates typical for SMRT sequencing (~15%) the consensus sequence proved highly reliable. All consensus sequences for exons 2 and 3 were in full accordance with their MiSeq-derived sequences. We describe novel intronic sequence variation of the 7 so far genomically defined alleles, as well as 7 whole-length DPB1 alleles with hitherto unknown intronic regions. One of these alleles (HLA-DPB1*131:01) is classified as rare. Conclusion: Here we present a whole gene amplification and sequencing workflow for DPB1 alleles utilizing single molecule real-time (SMRT) sequencing from Pacific Biosciences. Validation of consensus sequences against known exonic sequences highlights the reliability of this technology. This workflow will facilitate amending the IMGT/HLA Database for DPB1.

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June 1, 2021  |  

HLA variant identification techniques

The Human Leukocyte Antigen (HLA) genes located on chromosome 6 are responsible for regulating immune function via antigen presentation and are one of the determining factors for stem cell and organ transplantation compatibility. Additionally various alleles within this region have been implicated in autoimmune disorders, cancer, vaccine response and both non-infectious and infectious disease risk. The HLA region is highly variable; containing repetitive regions; and co-dominantly expressed genes. This complicates short read mapping and means that assessing the effect of variation within a gene requires full phase information to resolve haplotypes.One solution to the problem of HLA identification is the use of statistical inference to suggest the most likely diploid alleles given the genotypes observed. The assumption of this approach is the availability of an extensive reference panel. Whilst there exists good population genetics data for imputing European populations, there remains a paucity of information about variation in African populations. Filling this gap is one of the aims of the Genome Diversity in Africa Project and as a first step we are performing a pilot study to identify the optimal method for determining HLA type information for large numbers of samples from African populations.To that end we have obtained samples from 125 consented African participants selected from 5 populations across Africa (Morrocan, Ashanti, Igbo, Kalenjin, and Zulu). The methods included in our pilot study are Sanger sequencing (ABI), NGS on HiSeqX Ten platform (Illumina); long-range PCR combined with single molecule real-time (SMRT) sequencing (PacBio); and for a subset of samples library preparation on GemCode Platform (10x Genomics), which delivers valuable long range contextual information, combined with Illumina NGS sequencing.Results from capillary sequencing suggests the presence of a minimum of two novel alleles. Long Range PCR have been performed initially on a subset of samples using both primers sourced from GenDX and designed as described in Shiina et al (2012). Initial results from both primer sets were promising on Promega DNA test samples but only the GenDX primers proved effective on the African samples, producing consistently PCR products of the expected size in the Igbo, Ashanti, Morrocan and Zulu samples. We will present early results from our evaluation of the different sequencing technologies

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June 1, 2021  |  

Genome in a Bottle: You’ve sequenced. How well did you do?

Purpose: Clinical laboratories, research laboratories and technology developers all need DNA samples with reliably known genotypes in order to help validate and improve their methods. The Genome in a Bottle Consortium (genomeinabottle.org) has been developing Reference Materials with high-accuracy whole genome sequences to support these efforts.Methodology: Our pilot reference material is based on Coriell sample NA12878 and was released in May 2015 as NIST RM 8398 (tinyurl.com/giabpilot). To minimize bias and improve accuracy, 11 whole-genome and 3 exome data sets produced using 5 different technologies were integrated using a systematic arbitration method [1]. The Genome in a Bottle Analysis Group is adapting these methods and developing new methods to characterize 2 families, one Asian and one Ashkenazi Jewish from the Personal Genome Project, which are consented for public release of sequencing and phenotype data. We have generated a larger and even more diverse data set on these samples, including high-depth Illumina paired-end and mate-pair, Complete Genomics, and Ion Torrent short-read data, as well as Moleculo, 10X, Oxford Nanopore, PacBio, and BioNano Genomics long-read data. We are analyzing these data to provide an accurate assessment of not just small variants but also large structural variants (SVs) in both “easy” regions of the genome and in some “hard” repetitive regions. We have also made all of the input data sources publicly available for download, analysis, and publication.Results: Our arbitration method produced a reference data set of 2,787,291 single nucleotide variants (SNVs), 365,135 indels, 2744 SVs, and 2.2 billion homozygous reference calls for our pilot genome. We found that our call set is highly sensitive and specific in comparison to independent reference data sets. We have also generated preliminary assemblies and structural variant calls for the next 2 trios from long read data and are currently integrating and validating these.Discussion: We combined the strengths of each of our input datasets to develop a comprehensive and accurate benchmark call set. In the short time it has been available, over 20 published or submitted papers have used our data. Many challenges exist in comparing to our benchmark calls, and thus we have worked with the Global Alliance for Genomics and Health to develop standardized methods, performance metrics, and software to assist in its use.[1] Zook et al, Nat Biotech. 2014.

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June 1, 2021  |  

Building a platinum human genome assembly from single haplotype human genomes generated from long molecule sequencing

The human reference sequence has provided a foundation for studies of genome structure, human variation, evolutionary biology, and disease. At the time the reference was originally completed there were some loci recalcitrant to closure; however, the degree to which structural variation and diversity affected our ability to produce a representative genome sequence at these loci was still unknown. Many of these regions in the genome are associated with large, repetitive sequences and exhibit complex allelic diversity such producing a single, haploid representation is not possible. To overcome this challenge, we have sequenced DNA from two hydatidiform moles (CHM1 and CHM13), which are essentially haploid. CHM13 was sequenced with the latest PacBio technology (P6-C5) to 52X genome coverage and assembled using Daligner and Falcon v0.2 (GCA_000983455.1, CHM13_1.1). Compared to the first mole (CHM1) PacBio assembly (GCA_001007805.1, 54X) contig N50 of 4.5Mb, the contig N50 of CHM13_1.1 is almost 13Mb, and there is a 13-fold reduction in the number of contigs. This demonstrates the improved contiguity of sequence generated with the new chemistry. We annotated 50,188 RefSeq transcripts of which only 0.63% were split transcripts, and the repetitive and segmental duplication content was within the expected range. These data all indicate an extremely high quality assembly. Additionally, we sequenced CHM13 DNA using Illumina SBS technology to 60X coverage, aligned these reads to the GRCh37, GRCh38, and CHM13_1.1 assemblies and performed variant calling using the SpeedSeq pipeline. The number of single nucleotide variants (SNV) and indels was comparable between GRCh37 and GRCh38. Regions that showed increased SNV density in GRCh38 compared to GRCh37 could be attributed to the addition of centromeric alpha satellite sequence to the reference assembly. Alternatively, regions of decreased SNV density in GRCh38 were concentrated in regions that were improved from BAC based sequencing of CHM1 such as 1p12 and 1q21 containing the SRGAP2 gene family. The alignment of PacBio reads to GRCh37 and GRCh38 assemblies allowed us to resolve complex loci such as the MHC region where the best alignment was to the DBB (A2-B57-DR7) haplotype. Finally, we will discuss how combining the two high quality mole assemblies can be used for benchmarking and novel bioinformatics tool development.

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June 1, 2021  |  

Highly accurate read mapping of third generation sequencing reads for improved structural variation analysis

Characterizing genomic structural variations (SV) is vital for understanding how genomes evolve. Furthermore, SVs are known for playing a role in a wide range of diseases including cancer, autism, and schizophrenia. Nevertheless, due to their complexity they remain harder to detect and less understood than single nucleotide variations. Recently, third-generation sequencing has proven to be an invaluable tool for detecting SVs. The markedly higher read length not only allows single reads to span a SV, it also enables reliable mapping to repetitive regions of the genome. These regions often contain SVs and are inaccessible to short-read mapping. However, current sequencing technologies like PacBio show a raw read error rate of 10% or more consisting mostly of insertions and deletions. Especially in repetitive regions the high error rate causes current mapping methods to fail finding exact borders for SVs, to split up large deletions and insertions into several small ones, or in some cases, like inversions, to fail reporting them at all. Furthermore, for complex SVs it is not possible to find one end-to-end alignment for a given read. The decision of when to split a read into two or more separate alignments without knowledge of the underlying SV poses an even bigger challenge to current read mappers. Here we present NextGenMap-LR for long single molecule PacBio reads which addresses these issues. NextGenMap-LR uses a fast k-mer search to quickly find anchor regions between parts of a read and the reference and evaluates them using a vectorized implementation of the Smith-Waterman (SW) algorithm. The resulting high-quality anchors are then used to determine whether a read spans an SV and has to be split or can be aligned contiguously. Finally, NextGenMap-LR uses a banded SW algorithm to compute the final alignment(s). In this last step, to account for both the sequencing error and real genomic variations, we employ a non-affine gap model that penalizes gap extensions for longer gaps less than for shorter ones. Based on simulated as well as verified human breast cancer SV data we show how our approach significantly improves mapping of long reads around SVs. The non-affine gap model is especially effective at more precisely identifying the position of the breakpoint, and the enhanced scoring scheme enables subsequent variation callers to identify SVs that would have been missed otherwise.

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June 1, 2021  |  

Comprehensive genome and transcriptome structural analysis of a breast cancer cell line using PacBio long read sequencing

Genomic instability is one of the hallmarks of cancer, leading to widespread copy number variations, chromosomal fusions, and other structural variations. The breast cancer cell line SK-BR-3 is an important model for HER2+ breast cancers, which are among the most aggressive forms of the disease and affect one in five cases. Through short read sequencing, copy number arrays, and other technologies, the genome of SK-BR-3 is known to be highly rearranged with many copy number variations, including an approximately twenty-fold amplification of the HER2 oncogene. However, these technologies cannot precisely characterize the nature and context of the identified genomic events and other important mutations may be missed altogether because of repeats, multi-mapping reads, and the failure to reliably anchor alignments to both sides of a variation. To address these challenges, we have sequenced SK-BR-3 using PacBio long read technology. Using the new P6-C4 chemistry, we generated more than 70X coverage of the genome with average read lengths of 9-13kb (max: 71kb). Using Lumpy for split-read alignment analysis, as well as our novel assembly-based algorithms for finding complex variants, we have developed a detailed map of structural variations in this cell line. Taking advantage of the newly identified breakpoints and combining these with copy number assignments, we have developed an algorithm to reconstruct the mutational history of this cancer genome. From this we have discovered a complex series of nested duplications and translocations between chr17 and chr8, two of the most frequent translocation partners in primary breast cancers, resulting in amplification of HER2. We have also carried out full-length transcriptome sequencing using PacBio’s Iso-Seq technology, which has revealed a number of previously unrecognized gene fusions and isoforms. Combining long-read genome and transcriptome sequencing technologies enables an in-depth analysis of how changes in the genome affect the transcriptome, including how gene fusions are created across multiple chromosomes. This analysis has established the most complete cancer reference genome available to date, and is already opening the door to applying long-read sequencing to patient samples with complex genome structures.

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June 1, 2021  |  

Cogent: Reconstructing the coding genome from full-length transcriptome sequences

For highly complex and large genomes, a well-annotated genome may be computationally challenging and costly, yet the study of alternative splicing events and gene annotations usually rely on the existence of a genome. Long-read sequencing technology provides new opportunities to sequence full-length cDNAs, avoiding computational challenges that short read transcript assembly brings. The use of single molecule, real-time sequencing from Pacific Biosciences to sequence transcriptomes (the Iso-SeqTM method), which produces de novo, high-quality, full-length transcripts, has revealed an astonishing amount of alternative splicing in eukaryotic species. With the Iso-Seq method, it is now possible to reconstruct the transcribed regions of the genome using just the transcripts themselves. We present Cogent, a tool for finding gene families and reconstructing the coding genome in the absence of a reference genome. Cogent uses k-mer similarities to first partition the transcripts into different gene families. Then, for each gene family, the transcripts are used to build a splice graph. Cogent identifies bubbles resulting from sequencing errors, minor variants, and exon skipping events, and attempts to resolve each splice graph down to the minimal set of reconstructed contigs. We apply Cogent to a Cuttlefish Iso-Seq dataset, for which there is a highly fragmented, Illumina-based draft genome assembly and little annotation. We show that Cogent successfully discovers gene families and can reconstruct the coding region of gene loci. The reconstructed contigs can then be used to visualize alternative splicing events, identify minor variants, and even be used to improve genome assemblies.

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June 1, 2021  |  

Targeted sequencing of genes from soybean using NimbleGen SeqCap EZ and PacBio SMRT Sequencing

Full-length gene capture solutions offer opportunities to screen and characterize structural variations and genetic diversity to understand key traits in plants and animals. Through a combined Roche NimbleGen probe capture and SMRT Sequencing strategy, we demonstrate the capability to resolve complex gene structures often observed in plant defense and developmental genes spanning multiple kilobases. The custom panel includes members of the WRKY plant-defense-signaling family, members of the NB-LRR disease-resistance family, and developmental genes important for flowering. The presence of repetitive structures and low-complexity regions makes short-read sequencing of these genes difficult, yet this approach allows researchers to obtain complete sequences for unambiguous resolution of gene models. This strategy has been applied to genomic DNA samples from soybean coupled with barcoding for multiplexing.

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June 1, 2021  |  

Long-read assembly of the Aedes aegypti Aag2 cell line genome resolves ancient endogenous viral elements

Transmission of arboviruses such as Dengue Virus by Aedes aegypti causes debilitating disease across the globe. Disease in humans can include severe acute symptoms such as hemorrhagic fever and organ failure, but mosquitoes tolerate high titers of virus in a persistent infection. The mechanisms responsible for this viral tolerance are unclear. Recent publications highlighted the integration of genetic material from non-retroviral RNA viruses into the genome of the host during infection that relies upon endogenous retro-transcriptase activity from transposons. These endogenous viral elements (EVEs) found in the genome are predicted to be ancient, and at least some EVEs are under purifying selection, suggesting they are beneficial to the host. To characterize EVE biogenesis in a tractable system, we sequenced the Ae. aegypti cell line, Aag2, to 58-fold coverage and present a de novo assembly of the genome. The assembly contains 1.7 Gb of genomic and 255 Mb of alternative haplotype specific sequence, consisting of contigs with a N50 of 1.4 Mb; a value that, when compared with other assemblies of the Aedes genus, is from 1-3 orders of magnitude longer. The Aag2 genome is highly repetitive (70%), most of which is classified as transposable elements (60%). We identify EVEs in the genome homologous to a range of extant viruses, many of which cluster in these regions of repetitive DNA. The contiguous assembly allows for more comprehensive identification of the transposable elements and EVEs that are most likely to be lost in assemblies lacking the read length of SMRT Sequencing.

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June 1, 2021  |  

Improving the goat long-read assembly with optical mapping and Hi-C scaffolding

Reference genome assemblies provide important context in genetics by standardizing the order of genes and providing a universal set of coordinates for individual nucleotides. Often due to the high complexity of genic regions and higher copy number of genes involved in immune function, immunity-related genes are often misassembled in current reference assemblies. This problem is particularly ubiquitous in the reference genomes of non-model organisms as they often do not receive the years of curation necessary to resolve annotation and assembly errors. In this study, we reassemble a reference genome of the goat (Capra hircus) using modern PacBio technology in tandem with BioNano Genomics Irys optical maps and Lachesis clustering in order to provide a high quality reference assembly without the need for extensive filtering. Initial PacBio assemblies using P5C4 chemistry achieved contig N50’s of 4 Megabases and a BUSCO completion score of 84.0%, which is comparable to several finished model organism reference assemblies. We used BioNano Genomics’ Irys platform to generate 336 scaffolds from this data with a scaffold N50 of 24 megabases and total genome coverage of 98%. Lachesis interaction maps were used with a clustering algorithm to associate Irys scaffolds into the expected 30 chromosome physical maps. Comparisons of the initial hybrid scaffolds generated from the long read contigs and optical map information to a previously generated RH map revealed that the entirety of the Goat autosome 20 physical map was contained within one scaffold. Additionally, the BioNano scaffolding resolved several difficult regions that contained genes related to innate immunity which were problem regions in previous reference genome assemblies.

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June 1, 2021  |  

A comprehensive study of the sugar pine (Pinus lambertiana) transcriptome implemented through diverse next-generation sequencing approaches

The assembly, annotation, and characterization of the sugar pine (Pinus lambertiana Dougl.) transcriptome represents an opportunity to study the genetic mechanisms underlying resistance to the invasive white pine blister rust (Cronartium ribicola) as well as responses to other abiotic stresses. The assembled transcripts also provide a resource to improve the genome assembly. We selected a diverse set of tissues allowing the first comprehensive evaluation of the sugar pine gene space. We have combined short read sequencing technologies (Illumina MiSeq and HiSeq) with the relatively new Pacific Biosciences Iso-Seq approach. From the 2.5 billion and 1.6 million Illumina and PacBio (46 SMRT cells) reads, 33,720 unigenes were de novo assembled. Comparison of sequencing technologies revealed improved coverage with Illumina HiSeq reads and better splice variant detection with PacBio Iso-Seq reads. The genes identified as unique to each library ranges from 199 transcripts (basket seedling) to 3,482 transcripts (female cones). In total, 10,026 transcripts were shared by all libraries. Genes differentially expressed in response to these provided insight on abiotic and biotic stress responses. To analyze orthologous sequences, we compared the translated sequences against 19 plant species, identifying 7,229 transcripts that clustered uniquely among the conifers. We have generated here a high quality transcriptome from one WPBR susceptible and one WPBR resistant sugar pine individual. Through the comprehensive tissue sampling and the depth of the sequencing achieved, detailed information on disease resistance can be further examined.

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June 1, 2021  |  

Progress Toward a Low Budget Reference Grade Genome Assembly

Reference quality de novo genome assemblies were once solely the domain of large, well-funded genome projects. While next-generation short read technology removed some of the cost barriers, accurate chromosome-scale assembly remains a real challenge. Here we present efforts to de novo assemble the goat (Capra hircus) genome. Through the combination of single-molecule technologies from Pacific Biosciences (sequencing) and BioNano Genomics (optical mapping) coupled with high-throughput chromosome conformation capture sequencing (Hi-C), an inbred San Clemente goat genome has been sequenced and assembled to a high degree of completeness at a relatively modest cost. Starting with 38 million PacBio reads, we integrated the MinHash Alignment Process (MHAP) with the Celera Assembler (CA) to produce an assembly composed of 3110 contigs with a contig N50 size of 4.7 Mb. This assembly was scaffolded with BioNano genome maps derived from a single IrysChip into 333 scaffolds with an N50 of 23.1 Mb including the complete scaffolding of chromosome 20. Finally, cis-chromosome associations were determined by Hi-C, yielding complete reconstruction of all autosomes into single scaffolds with a final N50 of 91.7 Mb. We hope to demonstrate that our methods are not only cost effective, but improve our ability to annotate challenging genomic regions such as highly repetitive immune gene clusters.

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