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Auto Tag: SNP detection

June 1, 2021  |  

Single Molecule Real Time (SMRT) sequencing sensitively detects polyclonal and compound BCR-ABL in patients who relapse on kinase inhibitor therapy.

Secondary kinase domain (KD) mutations are the most well-recognized mechanism of resistance to tyrosine kinase inhibitors (TKIs) in chronic myeloid leukemia (CML) and other cancers. In some cases, multiple drug resistant KD mutations can coexist in an individual patient (“polyclonality”). Alternatively, more than one mutation can occur in tandem on a single allele (“compound mutations”) following response and relapse to sequentially administered TKI therapy. Distinguishing between these two scenarios can inform the clinical choice of subsequent TKI treatment. There is currently no clinically adaptable methodology that offers the ability to distinguish polyclonal from compound mutations. Due to the size of the BCR-ABL KD where TKI-resistant mutations are detected, next-generation platforms are unable to generate reads of sufficient length to determine if two mutations separated by 500 nucleotides reside on the same allele. Pacific Biosciences RS Single Molecule Real-Time (SMRT) circular consensus sequencing technology is a novel third generation deep sequencing technology capable of rapidly and reliably achieving average read lengths of ~1000 bp and frequently beyond 3000 bp, allowing sequencing of the entire ABL KD on single strand of DNA. We sought to address the ability of SMRT sequencing technology to distinguish polyclonal from compound mutations using clinical samples obtained from patients who have relapsed on BCR-ABL TKI treatment.

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June 1, 2021  |  

Sequencing and de novo assembly of the 17q21.31 disease associated region using long reads generated by Pacific Biosciences SMRT Sequencing technology.

Assessment of genome-wide variation revealed regions of the genome with complex, structurally diverse haplotypes that are insufficiently represented in the human reference genome. The 17q21.31 region is one of the most dynamic and complex regions of the human genome. Different haplotypes exist, in direct and inverted orientation, showing evidence of positive selection and predisposing to microdeletion associated with mental retardation. Sequencing of different haplotypes is extremely important to characterize the spectrum of structural variation at this locus. However, de novo assembly with second-generation sequencing reads is still problematic. Using PacBio technology we have sequenced and de novo assembled a tiling path of eight BAC clones (~1.6 Mb region) across this medically relevant region from the library of a hydatidiform mole. Complete hydatidiform moles arise from the fertilization of an enucleated egg from a single sperm and therefore carry a haploid complement of the human genome, eliminating allelic variation that may confound mapping and assembly. The PacBio RS system enables single molecule real time sequencing, featuring long reads and fast turnaround times. With deep sequencing, PacBio reads were able to generate a very uniform sequencing coverage with close to 100% coverage of most of the target interval regions covered. Due to long read lengths, the PacBio RS data could be accurately assembled.

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June 1, 2021  |  

High-throughput SMRT Sequencing of clinically relevant targets

Targeted sequencing with Sanger as well as short read based high throughput sequencing methods is standard practice in clinical genetic testing. However, many applications beyond SNP detection have remained somewhat obstructed due to technological challenges. With the advent of long reads and high consensus accuracy, SMRT Sequencing overcomes many of the technical hurdles faced by Sanger and NGS approaches, opening a broad range of untapped clinical sequencing opportunities. Flexible multiplexing options, highly adaptable sample preparation method and newly improved two well-developed analysis methods that generate highly-accurate sequencing results, make SMRT Sequencing an adept method for clinical grade targeted sequencing. The Circular Consensus Sequencing (CCS) analysis pipeline produces QV 30 data from each single intra-molecular multi-pass polymerase read, making it a reliable solution for detecting minor variant alleles with frequencies as low as 1 %. Long Amplicon Analysis (LAA) makes use of insert spanning full-length subreads originating from multiple individual copies of the target to generate highly accurate and phased consensus sequences (>QV50), offering a unique advantage for imputation free allele segregation and haplotype phasing. Here we present workflows and results for a range of SMRT Sequencing clinical applications. Specifically, we illustrate how the flexible multiplexing options, simple sample preparation methods and new developments in data analysis tools offered by PacBio in support of Sequel System 5.1 can come together in a variety of experimental designs to enable applications as diverse as high throughput HLA typing, mitochondrial DNA sequencing and viral vector integrity profiling of recombinant adeno-associated viral genomes (rAAV).

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April 21, 2020  |  

Whole-genome sequence of the oriental lung fluke Paragonimus westermani.

Foodborne infections caused by lung flukes of the genus Paragonimus are a significant and widespread public health problem in tropical areas. Approximately 50 Paragonimus species have been reported to infect animals and humans, but Paragonimus westermani is responsible for the bulk of human disease. Despite their medical and economic importance, no genome sequence for any Paragonimus species is available.We sequenced and assembled the genome of P. westermani, which is among the largest of the known pathogen genomes with an estimated size of 1.1 Gb. A 922.8 Mb genome assembly was generated from Illumina and Pacific Biosciences (PacBio) sequence data, covering 84% of the estimated genome size. The genome has a high proportion (45%) of repeat-derived DNA, particularly of the long interspersed element and long terminal repeat subtypes, and the expansion of these elements may explain some of the large size. We predicted 12,852 protein coding genes, showing a high level of conservation with related trematode species. The majority of proteins (80%) had homologs in the human liver fluke Opisthorchis viverrini, with an average sequence identity of 64.1%. Assembly of the P. westermani mitochondrial genome from long PacBio reads resulted in a single high-quality circularized 20.6 kb contig. The contig harbored a 6.9 kb region of non-coding repetitive DNA comprised of three distinct repeat units. Our results suggest that the region is highly polymorphic in P. westermani, possibly even within single worm isolates.The generated assembly represents the first Paragonimus genome sequence and will facilitate future molecular studies of this important, but neglected, parasite group.

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April 21, 2020  |  

Long-read amplicon denoising.

Long-read next-generation amplicon sequencing shows promise for studying complete genes or genomes from complex and diverse populations. Current long-read sequencing technologies have challenging error profiles, hindering data processing and incorporation into downstream analyses. Here we consider the problem of how to reconstruct, free of sequencing error, the true sequence variants and their associated frequencies from PacBio reads. Called ‘amplicon denoising’, this problem has been extensively studied for short-read sequencing technologies, but current solutions do not always successfully generalize to long reads with high indel error rates. We introduce two methods: one that runs nearly instantly and is very accurate for medium length reads and high template coverage, and another, slower method that is more robust when reads are very long or coverage is lower. On two Mock Virus Community datasets with ground truth, each sequenced on a different PacBio instrument, and on a number of simulated datasets, we compare our two approaches to each other and to existing algorithms. We outperform all tested methods in accuracy, with competitive run times even for our slower method, successfully discriminating templates that differ by a just single nucleotide. Julia implementations of Fast Amplicon Denoising (FAD) and Robust Amplicon Denoising (RAD), and a webserver interface, are freely available. © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research.

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April 21, 2020  |  

Complete Genome Sequence of Lactococcus lactis subsp. cremoris 3107, Host for the Model Lactococcal P335 Bacteriophage TP901-1.

The complete genome sequence of Lactococcus lactis subsp. cremoris 3107, a dairy starter strain and a host for the model lactococcal P335 bacteriophage TP901-1, is reported here. The circular chromosome of L. lactis subsp. cremoris 3107 is among the smallest genomes of currently sequenced lactococcal strains. L. lactis subsp. cremoris 3107 harbors a complement of six plasmids, which appears to be a reflection of its adaptation to the nutrient-rich dairy environment.

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April 21, 2020  |  

Single-Molecule Sequencing: Towards Clinical Applications.

In the past several years, single-molecule sequencing platforms, such as those by Pacific Biosciences and Oxford Nanopore Technologies, have become available to researchers and are currently being tested for clinical applications. They offer exceptionally long reads that permit direct sequencing through regions of the genome inaccessible or difficult to analyze by short-read platforms. This includes disease-causing long repetitive elements, extreme GC content regions, and complex gene loci. Similarly, these platforms enable structural variation characterization at previously unparalleled resolution and direct detection of epigenetic marks in native DNA. Here, we review how these technologies are opening up new clinical avenues that are being applied to pathogenic microorganisms and viruses, constitutional disorders, pharmacogenomics, cancer, and more.Copyright © 2018 Elsevier Ltd. All rights reserved.

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April 21, 2020  |  

A full-length transcriptome of Sepia esculenta using a combination of single-molecule long-read (SMRT) and Illumina sequencing

As an economically important cephalopods species, wild-caught Sepia esculenta fishery has suffered a server decline due to over-fishing and ocean environmental damage. To restore this seriously declining fishery resource, we should understand the genetic foundation and molecular mechanism of spawning, reproduction and mortal of golden cuttlefish. In this study, we generated the full-length transcriptome of S. esculenta based on the total RNA of tissue samples (brain, optic gland, nidamental gland, ovary and muscle at different developmental stages) using a combination of single-molecule real-time (SMRT) and Illumina RNA-seq technology. A total of 14.16 Gb SMRT sequencing data were assembled into 94,635 transcripts. Meanwhile, 35.15 Gb Illumina HiSeq data were assembled into 177,226 non-redundant transcripts. Then, we merged SMRT and Illumina assembled data to generate a more complete/full-length S. esculenta transcriptome with 177,951 high-quality transcripts. Based on the obtained transcriptome data, total 81,459 transcripts were annotated in at least one of seven functional databases and 49,189 nucleotide sequences of coding regions were identified. Additionally, 161,327 SSRs distributed in 64,933 transcripts were identified based on SSR analysis. This full-length and high-quality transcriptome of S. esculenta can provide an important foundation for future genomic research on growth and development, reproduction and mortal of cephalopod and further recovery of this recessionary fisheries resources.

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April 21, 2020  |  

Microsatellite marker set for genetic diversity assessment of primitive Chitala chitala (Hamilton, 1822) derived through SMRT sequencing technology.

In present study, single molecule-real time sequencing technology was used to obtain a validated set of microsatellite markers for application in population genetics of the primitive fish, Chitala chitala. Assembly of circular consensus sequencing reads resulted into 1164 sequences which contained 2005 repetitive motifs. A total of 100 sequences were used for primer designing and amplification yielded a set of 28 validated polymorphic markers. These loci were used to genotype n?=?72 samples from three distant riverine populations of India, namely Son, Satluj and Brahmaputra, for determining intraspecific genetic variation. The microsatellite loci exhibited high level of polymorphism with PIC values ranging from 0.281 to 0.901. The genetic parameters revealed that mean heterozygosity ranged from 0.6802 to 0.6826 and the populations were found to be genetically diverse (Fst 0.03-0.06). This indicated the potential application of these microsatellite marker set that can used for stock characterization of C. chitala, in the wild. These newly developed loci were assayed for cross transferability in another notopterid fish, Notopterus notopterus.

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April 21, 2020  |  

The red bayberry genome and genetic basis of sex determination.

Morella rubra, red bayberry, is an economically important fruit tree in south China. Here, we assembled the first high-quality genome for both a female and a male individual of red bayberry. The genome size was 313-Mb, and 90% sequences were assembled into eight pseudo chromosome molecules, with 32 493 predicted genes. By whole-genome comparison between the female and male and association analysis with sequences of bulked and individual DNA samples from female and male, a 59-Kb region determining female was identified and located on distal end of pseudochromosome 8, which contains abundant transposable element and seven putative genes, four of them are related to sex floral development. This 59-Kb female-specific region was likely to be derived from duplication and rearrangement of paralogous genes and retained non-recombinant in the female-specific region. Sex-specific molecular markers developed from candidate genes co-segregated with sex in a genetically diverse female and male germplasm. We propose sex determination follow the ZW model of female heterogamety. The genome sequence of red bayberry provides a valuable resource for plant sex chromosome evolution and also provides important insights for molecular biology, genetics and modern breeding in Myricaceae family. © 2018 The Authors. Plant Biotechnology Journal published by Society for Experimental Biology and The Association of Applied Biologists and John Wiley & Sons Ltd.

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April 21, 2020  |  

Hybrid sequencing-based personal full-length transcriptomic analysis implicates proteostatic stress in metastatic ovarian cancer.

Comprehensive molecular characterization of myriad somatic alterations and aberrant gene expressions at personal level is key to precision cancer therapy, yet limited by current short-read sequencing technology, individualized catalog of complete genomic and transcriptomic features is thus far elusive. Here, we integrated second- and third-generation sequencing platforms to generate a multidimensional dataset on a patient affected by metastatic epithelial ovarian cancer. Whole-genome and hybrid transcriptome dissection captured global genetic and transcriptional variants at previously unparalleled resolution. Particularly, single-molecule mRNA sequencing identified a vast array of unannotated transcripts, novel long noncoding RNAs and gene chimeras, permitting accurate determination of transcription start, splice, polyadenylation and fusion sites. Phylogenetic and enrichment inference of isoform-level measurements implicated early functional divergence and cytosolic proteostatic stress in shaping ovarian tumorigenesis. A complementary imaging-based high-throughput drug screen was performed and subsequently validated, which consistently pinpointed proteasome inhibitors as an effective therapeutic regime by inducing protein aggregates in ovarian cancer cells. Therefore, our study suggests that clinical application of the emerging long-read full-length analysis for improving molecular diagnostics is feasible and informative. An in-depth understanding of the tumor transcriptome complexity allowed by leveraging the hybrid sequencing approach lays the basis to reveal novel and valid therapeutic vulnerabilities in advanced ovarian malignancies.

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April 21, 2020  |  

Genome sequencing and CRISPR/Cas9 gene editing of an early flowering Mini-Citrus (Fortunella hindsii).

Hongkong kumquat (Fortunella hindsii) is a wild citrus species characterized by dwarf plant height and early flowering. Here, we identified the monoembryonic F. hindsii (designated as ‘Mini-Citrus’) for the first time and constructed its selfing lines. This germplasm constitutes an ideal model for the genetic and functional genomics studies of citrus, which have been severely hindered by the long juvenility and inherent apomixes of citrus. F. hindsii showed a very short juvenile period (~8 months) and stable monoembryonic phenotype under cultivation. We report the first de novo assembled 373.6 Mb genome sequences (Contig-N50 2.2 Mb and Scaffold-N50 5.2 Mb) for F. hindsii. In total, 32 257 protein-coding genes were annotated, 96.9% of which had homologues in other eight Citrinae species. The phylogenomic analysis revealed a close relationship of F. hindsii with cultivated citrus varieties, especially with mandarin. Furthermore, the CRISPR/Cas9 system was demonstrated to be an efficient strategy to generate target mutagenesis on F. hindsii. The modifications of target genes in the CRISPR-modified F. hindsii were predominantly 1-bp insertions or small deletions. This genetic transformation system based on F. hindsii could shorten the whole process from explant to T1 mutant to about 15 months. Overall, due to its short juvenility, monoembryony, close genetic background to cultivated citrus and applicability of CRISPR, F. hindsii shows unprecedented potentials to be used as a model species for citrus research. © 2019 The Authors. Plant Biotechnology Journal published by Society for Experimental Biology and The Association of Applied Biologists and John Wiley & Sons Ltd.

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April 21, 2020  |  

Computational aspects underlying genome to phenome analysis in plants.

Recent advances in genomics technologies have greatly accelerated the progress in both fundamental plant science and applied breeding research. Concurrently, high-throughput plant phenotyping is becoming widely adopted in the plant community, promising to alleviate the phenotypic bottleneck. While these technological breakthroughs are significantly accelerating quantitative trait locus (QTL) and causal gene identification, challenges to enable even more sophisticated analyses remain. In particular, care needs to be taken to standardize, describe and conduct experiments robustly while relying on plant physiology expertise. In this article, we review the state of the art regarding genome assembly and the future potential of pangenomics in plant research. We also describe the necessity of standardizing and describing phenotypic studies using the Minimum Information About a Plant Phenotyping Experiment (MIAPPE) standard to enable the reuse and integration of phenotypic data. In addition, we show how deep phenotypic data might yield novel trait-trait correlations and review how to link phenotypic data to genomic data. Finally, we provide perspectives on the golden future of machine learning and their potential in linking phenotypes to genomic features. © 2018 The Authors The Plant Journal published by John Wiley & Sons Ltd and Society for Experimental Biology.

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