June 1, 2021 |
Assembling crop genomes with single molecule sequencing.
AGBT 2013 Presentation Slides: Cold Spring Harbor Laboratory’s Michael Schatz presented strategies for de novo assembly of crop genomes with PacBio technolgy.
Auto Tag: model organisms
June 1, 2021 |
SMRT Sequencing solutions for large genomes and transcriptomes.
Single Molecule, Real-Time (SMRT) Sequencing holds promise for addressing new frontiers in large genome complexities, such as long, highly repetitive, low-complexity regions and duplication events, and differentiating between transcript isoforms that are difficult to resolve with short-read technologies. We present solutions available for both reference genome improvement (>100 MB) and transcriptome research to best leverage long reads that have exceeded 20 Kb in length. Benefits for these applications are further realized with consistent use of size-selection of input sample using the BluePippin™ device from Sage Science. Highlights from our genome assembly projects using the latest P5-C3 chemistry on model organisms will be shared. Assembly contig N50 have exceeded 6 Mb and we observed longest contig exceeding 12.5 Mb with an average base quality of QV50. Additionally, the value of long, intact reads to provide a no-assembly approach to investigate transcript isoforms using our Iso-Seq Application will be presented.
June 1, 2021 |
SMRT Sequencing solutions for investigative studies to understand evolutionary processes.
Single Molecule, Real-Time (SMRT) Sequencing holds promise for addressing new frontiers to understand molecular mechanisms in evolution and gain insight into adaptive strategies. With read lengths exceeding 10 kb, we are able to sequence high-quality, closed microbial genomes with associated plasmids, and investigate large genome complexities, such as long, highly repetitive, low-complexity regions and multiple tandem-duplication events. Improved genome quality, observed at 99.9999% (QV60) consensus accuracy, and significant reduction of gap regions in reference genomes (up to and beyond 50%) allow researchers to better understand coding sequences with high confidence, investigate potential regulatory mechanisms in noncoding regions, and make inferences about evolutionary strategies that are otherwise missed by the coverage biases associated with short- read sequencing technologies. Additional benefits afforded by SMRT Sequencing include the simultaneous capability to detect epigenomic modifications and obtain full-length cDNA transcripts that obsolete the need for assembly. With direct sequencing of DNA in real-time, this has resulted in the identification of numerous base modifications and motifs, which genome-wide profiles have linked to specific methyltransferase activities. Our new offering, the Iso-Seq Application, allows for the accurate differentiation between transcript isoforms that are difficult to resolve with short-read technologies. PacBio reads easily span transcripts such that both 5’/3’ primers for cDNA library generation and the poly-A tail are observed. As such, exon configuration and intron retention events can be analyzed without ambiguity. This technological advance is useful for characterizing transcript diversity and improving gene structure annotations in reference genomes. We review solutions available with SMRT Sequencing, from targeted sequencing efforts to obtaining reference genomes (>100 Mb). This includes strategies for identifying microsatellites and conducting phylogenetic comparisons with targeted gene families. We highlight how to best leverage our long reads that have exceeded 20 kb in length for research investigations, as well as currently available bioinformatics strategies for analysis. Benefits for these applications are further realized with consistent use of size selection of input sample using the BluePippin™ device from Sage Science as demonstrated in our genome improvement projects. Using the latest P5-C3 chemistry on model organisms, these efforts have yielded an observed contig N50 of ~6 Mb, with the longest contig exceeding 12.5 Mb and an average base quality of QV50.
June 1, 2021 |
Capturing the chicken transcriptome with PacBio long read RNA-seq data OR “Chicken in awesome sauce: a recipe for new transcript identification.”
PacBio 2014 User Group Meeting Presentation Slides: Alisha Holloway of the Gladstone Institutes presented on the use of isoform sequencing (Iso-Seq) to improve the annotation of the chicken genome as a model reference for cardiovascular research.
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.
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.
June 1, 2021 |
From Sequencing to Chromosomes: New de novo assembly and scaffolding methods improve the goat reference genome
Single-molecule sequencing is now routinely used to assemble complete, high-quality microbial genomes, but these assembly methods have not scaled well to large genomes. To address this problem, we previously introduced the MinHash Alignment Process (MHAP) for overlapping single-molecule reads using probabilistic, locality-sensitive hashing. Integrating MHAP with Celera Assembler (CA) has enabled reference-grade assemblies of model organisms, revealing novel heterochromatic sequences and filling low-complexity gap sequences in the GRCh38 human reference genome. We have applied our methods to assemble the San Clemente goat genome. Combining single-molecule sequencing from Pacific Biosciences and BioNano Genomics generates and assembly that is over 150-fold more contiguous than the latest Capra hircus reference. In combination with Hi-C sequencing, the assembly surpasses reference assemblies, de novo, with minimal manual intervention. The autosomes are each assembled into a single scaffold. Our assembly provides a more complete gene reconstruction, better alignments with Goat 52k chip, and improved allosome reconstruction. In addition to providing increased continuity of sequence, our assembly achieves a higher BUSCO completion score (84%) than the existing goat reference assembly suggesting better quality annotation of gene models. Our results demonstrate that single-molecule sequencing can produce near-complete eukaryotic genomes at modest cost and minimal manual effort.
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.
June 1, 2021 |
A high-quality genome assembly of SMRT Sequences reveals long-range haplotype structure in the diploid mosquito Aedes aegypti
Aedes aegypti is a tropical and subtropical mosquito vector for Zika, yellow fever, dengue fever, chikungunya, and other diseases. The outbreak of Zika in the Americas, which can cause microcephaly in the fetus of infected women, adds urgency to the need for a high-quality reference genome in order to better understand the organism’s biology and its role in transmitting human disease. We describe the first diploid assembly of an insect genome, using SMRT sequencing and the open-source assembler FALCON-Unzip. This assembly has high contiguity (contig N50 1.3 Mb), is more complete than previous assemblies (Length 1.45 Gb with 87% BUSCO genes complete), and is high quality (mean base >QV30). Long-range haplotype structure, in some cases encompassing more than 4 Mb of extremely divergent homologous sequence, is resolved using a combination of the FALCON-Unzip assembler, genome annotation, coverage depth, and pairwise nucleotide alignments.
June 1, 2021 |
A high-quality genome assembly of SMRT sequences reveals long range haplotype structure in the diploid mosquito Aedes aegypti
Aedes aegypti is a tropical and subtropical mosquito vector for Zika, yellow fever, dengue fever, and chikungunya. We describe the first diploid assembly of an insect genome, using SMRT Sequencing and the open-source assembler FALCON-Unzip. This assembly has high contiguity (contig N50 1.3 Mb), is more complete than previous assemblies (Length 1.45 Gb with 87% BUSCO genes complete), and is high quality (mean base >QV30 after polishing). Long-range haplotype structure, in some cases encompassing more than 4 Mb of extremely divergent homologous sequence with dramatic differences in coding sequence content, is resolved using a combination of the FALCON-Unzip assembler, genome annotation, coverage depth, and pairwise nucleotide alignments.
June 1, 2021 |
From RNA to full-length transcripts: The PacBio Iso-Seq method for transcriptome analysis and genome annotation
A single gene may encode a surprising number of proteins, each with a distinct biological function. This is especially true in complex eukaryotes. Short- read RNA sequencing (RNA-seq) works by physically shearing transcript isoforms into smaller pieces and bioinformatically reassembling them, leaving opportunity for misassembly or incomplete capture of the full diversity of isoforms from genes of interest. The PacBio Isoform Sequencing (Iso-Seq™) method employs long reads to sequence transcript isoforms from the 5’ end to their poly-A tails, eliminating the need for transcript reconstruction and inference. These long reads result in complete, unambiguous information about alternatively spliced exons, transcriptional start sites, and poly- adenylation sites. This allows for the characterization of the full complement of isoforms within targeted genes, or across an entire transcriptome. Here we present improved genome annotations for two avian models of vocal learning, Anna’s hummingbird (Calypte anna) and zebra finch (Taeniopygia guttata), using the Iso-Seq method. We present graphical user interface and command line analysis workflows for the data sets. From brain total RNA, we characterize more than 15,000 isoforms in each species, 9% and 5% of which were previously unannotated in hummingbird and zebra finch, respectively. We highlight one example where capturing full-length transcripts identifies additional exons and UTRs.
June 1, 2021 |
De novo assembly and preliminary annotation of the Schizocardium californicum genome
Animals in the phylum Hemichordata have provided key understanding of the origins and development of body patterning and nervous system organization. However, efforts to sequence and assemble the genomes of highly heterozygous non-model organisms have proven to be difficult with traditional short read approaches. Long repetitive DNA structures, extensive structural variation between haplotypes in polyploid species, and large genome sizes are limiting factors to achieving highly contiguous genome assemblies. Here we present the highly contiguous de novo assembly and preliminary annotation of an indirect developing hemichordate genome, Schizocardium californicum, using SMRT Sequening long reads.
June 1, 2021 |
Every species can be a model: Reference-quality PacBio genomes from single insects
A high-quality reference genome is an essential resource for primary and applied research across the tree of life. Genome projects for small-bodied, non-model organisms such as insects face several unique challenges including limited DNA input quantities, high heterozygosity, and difficulty of culturing or inbreeding in the lab. Recent progress in PacBio library preparation protocols, sequencing throughput, and read accuracy address these challenges. We present several case studies including the Red Admiral (Vanessa atalanta), Monarch Butterfly (Danaus plexippus), and Anopheles malaria mosquitoes that highlight the benefits of sequencing single individuals for de novo genome assembly projects, and the ease at which these projects can be conducted by individual research labs. Sampled individuals may originate from lab colonies of interest to the research community or be sourced from the wild to better capture natural variation in a focal population. Where genomic DNA quantities are limited, the PacBio Low DNA Input Protocol requires ~100 ng of input DNA. Low DNA input samples with 500 Mb genome size or less can be multiplexed on a single SMRT Cell 8M on the Sequel II System. For samples with more abundant DNA quantity, size-selected libraries may be constructed to maximize sequencing yield. Both low DNA input and size-selected libraries can be used to generate HiFi reads, whose quality is Q20 or above (1% error or less) and lengths range from 10 – 25 kb. With HiFi reads, de novo assembly computation is greatly simplified relative to long read methods due to smaller sequence file sizes and more rapid analysis, resulting in highly accurate, contiguous, complete, and haplotype-resolved assemblies.
February 5, 2021 |
Webinar: SMRT Sequencing applications in plant and animal sciences: an overview
In this webinar, Emily Hatas of PacBio shares information about the applications and benefits of SMRT Sequencing in plant and animal biology, agriculture, and industrial research fields. This session contains…
April 21, 2020 |
The evaluation of RNA-Seq de novo assembly by PacBio long read sequencing
RNA-Seq de novo assembly is an important method to generate transcriptomes for non-model organisms before any downstream analysis. Given many great de novo assembly methods developed by now, one critical issue is that there is no consensus on the evaluation of de novo assembly methods yet. Therefore, to set up a benchmark for evaluating the quality of de novo assemblies is very critical. Addressing this challenge will help us deepen the insights on the properties of different de novo assemblers and their evaluation methods, and provide hints on choosing the best assembly sets as transcriptomes of non-model organisms for the further functional analysis. In this article, we generate a textquotedblleftreal timetextquotedblright transcriptome using PacBio long reads as a benchmark for evaluating five de novo assemblers and two model-based de novo assembly evaluation methods. By comparing the de novo assmblies generated by RNA-Seq short reads with the textquotedblleftreal timetextquotedblright transcriptome from the same biological sample, we find that Trinity is best at the completeness by generating more assemblies than the alternative assemblers, but less continuous and having more misassemblies; Oases is best at the continuity and specificity, but less complete; The performance of SOAPdenovo-Trans, Trans-AByss and IDBA-Tran are in between of five assemblers. For evaluation methods, DETONATE leverages multiple aspects of the assembly set and ranks the assembly set with an average performance as the best, meanwhile the contig score can serve as a good metric to select assemblies with high completeness, specificity, continuity but not sensitive to misassemblies; TransRate contig score is useful for removing misassemblies, yet often the assemblies in the optimal set is too few to be used as a transcriptome.