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April 21, 2020  |  

Long-read sequencing for rare human genetic diseases.

During the past decade, the search for pathogenic mutations in rare human genetic diseases has involved huge efforts to sequence coding regions, or the entire genome, using massively parallel short-read sequencers. However, the approximate current diagnostic rate is <50% using these approaches, and there remain many rare genetic diseases with unknown cause. There may be many reasons for this, but one plausible explanation is that the responsible mutations are in regions of the genome that are difficult to sequence using conventional technologies (e.g., tandem-repeat expansion or complex chromosomal structural aberrations). Despite the drawbacks of high cost and a shortage of standard analytical methods, several studies have analyzed pathogenic changes in the genome using long-read sequencers. The results of these studies provide hope that further application of long-read sequencers to identify the causative mutations in unsolved genetic diseases may expand our understanding of the human genome and diseases. Such approaches may also be applied to molecular diagnosis and therapeutic strategies for patients with genetic diseases in the future.


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.


April 21, 2020  |  

RNA sequencing: the teenage years.

Over the past decade, RNA sequencing (RNA-seq) has become an indispensable tool for transcriptome-wide analysis of differential gene expression and differential splicing of mRNAs. However, as next-generation sequencing technologies have developed, so too has RNA-seq. Now, RNA-seq methods are available for studying many different aspects of RNA biology, including single-cell gene expression, translation (the translatome) and RNA structure (the structurome). Exciting new applications are being explored, such as spatial transcriptomics (spatialomics). Together with new long-read and direct RNA-seq technologies and better computational tools for data analysis, innovations in RNA-seq are contributing to a fuller understanding of RNA biology, from questions such as when and where transcription occurs to the folding and intermolecular interactions that govern RNA function.


April 21, 2020  |  

Complete genome sequences of pooled genomic DNA from 10 marine bacteria using PacBio long-read sequencing.

High-quality, completed genomes are important to understand the functions of marine bacteria. PacBio sequencing technology provides a powerful way to obtain high-quality completed genomes. However individual library production is currently still costly, limiting the utility of the PacBio system for high-throughput genomics. Here we investigate how to generate high-quality genomes from pooled marine bacterial genomes.Pooled genomic DNA from 10 marine bacteria were subjected to a single library production and sequenced with eight SMRT cells on the PacBio RS II sequencing platform. In total, 7.35 Gbp of long-read data was generated, which is equivalent to an approximate 168× average coverage for the input genomes. Genome assembly showed that eight genomes with average nucleotide identities (ANI) lower than 91.4% can be assembled with high-quality and completion using standard assembly algorithms (e.g. HGAP or Canu). A reference-based reads phasing step was developed and incorporated to assemble the complete genomes of the remaining two marine bacteria that had an ANI?>?97% and whose initial assemblies were highly fragmented.Ten complete high-quality genomes of marine bacteria were generated. The findings and developments made here, including the reference-based read phasing approach for the assembly of highly similar genomes, can be used in the future to design strategies to sequence pooled genomes using long-read sequencing.Copyright © 2019. Published by Elsevier B.V.


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