scholarly journals Multi-Platform Assessment of DNA Sequencing Performance using Human and Bacterial Reference Genomes in the ABRF Next-Generation Sequencing Study

2020 ◽  
Author(s):  
Jonathan Foox ◽  
Scott W. Tighe ◽  
Charles M. Nicolet ◽  
Justin M. Zook ◽  
Marta Byrska-Bishop ◽  
...  

AbstractMassively parallel DNA sequencing is a critical tool for genomics research and clinical diagnostics. Here, we describe the Association of Biomolecular Resource Facilities (ABRF) Next-Generation Sequencing Phase II Study to measure quality and reproducibility of DNA sequencing. Replicates of human and bacterial reference DNA samples were generated across multiple sequencing platforms, including well-established technologies such as Illumina, ThermoFisher Ion Torrent, and Pacific Biosciences, as well as emerging technologies such as BGI, Genapsys, and Oxford Nanopore. A total of 202 datasets were generated to investigate the performance of a total of 16 sequencing platforms, including mappability of reads, coverage and error rates in difficult genomic regions, and detection of small-scale polymorphisms and large-scale structural variants. This study provides a comprehensive baseline resource for continual benchmarking as chemistries, methods, and platforms evolve for DNA sequencing.

Author(s):  
Pierre Taberlet ◽  
Aurélie Bonin ◽  
Lucie Zinger ◽  
Eric Coissac

The emergence of eDNA analysis is tightly linked to the development of next-generation sequencing. Chapter 7 “DNA sequencing” gives an overview of the characteristics and limitations of the main next-generation sequencing platforms. It focuses particularly on the Illumina platform, which is the only technology currently suitable for large-scale analysis with hundreds to thousands of samples. More specifically, Chapter 7 describes the Illumina library preparation process, the generation of sequencing clusters by bridge PCR on the flow cell, and the sequencing reaction itself, based on sequencing by synthesis. Finally, detailed information is provided on the meaning and coding of quality scores of the sequencing reads.


2009 ◽  
Vol 55 (4) ◽  
pp. 641-658 ◽  
Author(s):  
Karl V Voelkerding ◽  
Shale A Dames ◽  
Jacob D Durtschi

Abstract Background: For the past 30 years, the Sanger method has been the dominant approach and gold standard for DNA sequencing. The commercial launch of the first massively parallel pyrosequencing platform in 2005 ushered in the new era of high-throughput genomic analysis now referred to as next-generation sequencing (NGS). Content: This review describes fundamental principles of commercially available NGS platforms. Although the platforms differ in their engineering configurations and sequencing chemistries, they share a technical paradigm in that sequencing of spatially separated, clonally amplified DNA templates or single DNA molecules is performed in a flow cell in a massively parallel manner. Through iterative cycles of polymerase-mediated nucleotide extensions or, in one approach, through successive oligonucleotide ligations, sequence outputs in the range of hundreds of megabases to gigabases are now obtained routinely. Highlighted in this review are the impact of NGS on basic research, bioinformatics considerations, and translation of this technology into clinical diagnostics. Also presented is a view into future technologies, including real-time single-molecule DNA sequencing and nanopore-based sequencing. Summary: In the relatively short time frame since 2005, NGS has fundamentally altered genomics research and allowed investigators to conduct experiments that were previously not technically feasible or affordable. The various technologies that constitute this new paradigm continue to evolve, and further improvements in technology robustness and process streamlining will pave the path for translation into clinical diagnostics.


2021 ◽  
Vol 39 (9) ◽  
pp. 1129-1140
Author(s):  
Jonathan Foox ◽  
Scott W. Tighe ◽  
Charles M. Nicolet ◽  
Justin M. Zook ◽  
Marta Byrska-Bishop ◽  
...  

2020 ◽  
Author(s):  
Marie-Ming Aynaud ◽  
J. Javier Hernandez ◽  
Seda Barutcu ◽  
Ulrich Braunschweig ◽  
Kin Chan ◽  
...  

AbstractPopulation scale sweeps of viral pathogens, such as SARS-CoV-2, that incorporate large numbers of asymptomatic or mild symptom patients present unique challenges for public health agencies trying to manage both travel and local spread. Physical distancing is the current major strategy to suppress spread of the disease, but with enormous socio-economic costs. However, modelling and studies in isolated jurisdictions suggest that active population surveillance through systematic molecular diagnostics, combined with contact tracing and focused quarantining can significantly suppress disease spread1-3 and has significantly impacted disease transmission rates, the number of infected people, and prevented saturation of the healthcare system4-7. However, reliable systems allowing for parallel testing of 10-100,000’s of patients in larger urban environments have not yet been employed. Here we describe “COVID-19 screening using Systematic Parallel Analysis of RNA coupled to Sequencing” (C19-SPAR-Seq), a scalable, multiplexed, readily automated next generation sequencing (NGS) platform8 that is capable of analyzing tens of thousands of COVID-19 patient samples in a single instrument run. To address the strict requirements in clinical diagnostics for control of assay parameters and output, we employed a control-based Precision-Recall and predictive Receiver Operator Characteristics (coPR) analysis to assign run-specific quality control metrics. C19-SPAR-Seq coupled to coPR on a trial cohort of over 600 patients performed with a specificity of 100% and sensitivity of 91% on samples with low viral loads and a sensitivity of > 95% on high viral loads associated with disease onset and peak transmissibility. Our study thus establishes the feasibility of employing C19-SPAR-Seq for the large-scale monitoring of SARS-CoV-2 and other pathogens.


2020 ◽  
Author(s):  
Jeff Wrana ◽  
Marie-Ming Aynaud ◽  
J Hernandez ◽  
Seda Barutcu ◽  
Ulrich Braunschweig ◽  
...  

Abstract Population scale sweeps of viral pathogens, such as SARS-CoV-2, that incorporate large numbers of asymptomatic or mild symptom patients present unique challenges for public health agencies trying to manage both travel and local spread. Physical distancing is the current major strategy to suppress spread of the disease, but with enormous socio-economic costs. However, modelling and studies in isolated jurisdictions suggest that active population surveillance through systematic molecular diagnostics, combined with contact tracing and focused quarantining can significantly suppress disease spread and has significantly impacted disease transmission rates, the number of infected people, and prevented saturation of the healthcare system. However, reliable systems allowing for parallel testing of 10-100,000’s of patients in larger urban environments have not yet been employed. Here we describe “COVID-19 screening using Systematic Parallel Analysis of RNA coupled to Sequencing” (C19-SPAR-Seq), a scalable, multiplexed, readily automated next generation sequencing (NGS) platform that is capable of analyzing tens of thousands of COVID-19 patient samples in a single instrument run. To address the strict requirements in clinical diagnostics for control of assay parameters and output, we employed a control-based Precision-Recall and predictive Receiver Operator Characteristics (coPR) analysis to assign run-specific quality control metrics. C19-SPAR-Seq coupled to coPR on a trial cohort of over 600 patients performed with a specificity of 100% and sensitivity of 91% on samples with low viral loads and a sensitivity of > 95% on high viral loads associated with disease onset and peak transmissibility. Our study thus establishes the feasibility of employing C19-SPAR-Seq for the large-scale monitoring of SARS-CoV-2 and other pathogens.


Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 519-519
Author(s):  
Johann-Christoph Jann ◽  
Daniel Nowak ◽  
Florian Nolte ◽  
Claudia Haferlach ◽  
Marita Staller ◽  
...  

Abstract Background The underlying molecular defects in myelodysplastic syndromes (MDS), which are a heterogeneous group of malignant clonal hematologic disorders, are not well understood. Recently, next generation sequencing (NGS) based whole genome and exome sequencing highlighted the oligoclonal nature of persistent MDS clones that are present already at early disease stages. The reconstruction of mutational hierarchies in MDS clones and distinction of primary founder from subsequently acquired lesions has yet to be thoroughly interrogated and is likely to aid dissecting the molecular pathogenesis of MDS. Methods An amplicon-based NGS assay using the Roche 454 GS Junior system was established within the IRON-II framework study in order to screen for 17 commonly mutated genes in MDS. Genomic DNA from purified mononuclear bone marrow (BM) cells of 23 MDS IPSS low/int1 risk subjects was screened for somatic mutations. Called variants were compared to dbSNP and COSMIC database entries to rule out germline polymorphisms. In addition, copy number variation analysis was performed by Affymetrix SNP 6.0 array profiling. Custom pyrosequencing assays and interphase-FISH were applied for sensitive quantification of lesion burdens in FACS-sorted myeloid, erythroid, lymphoid and stem/progenitor cells. These were isolated from patients’ primary BM as well as their long-term engrafted human xenotransplants using our recently established MDS xenograft model. Results In this work, we identified 12 oligoclonal BM samples with ≥2 molecular lesions. Of note, varying frequencies of individual mutations between different sorted cell subsets from primary or human xenografted BM support the notion that distinct MDS (sub-)clones from these subjects contributed to hematopoiesis simultaneously and lead to differential engraftment between xenografts. Comparison of variable subset-specific mutation burdens allowed deciphering the individual hierarchical architecture of the mutational landscape from 9 individuals. ASXL1, SF3B1 and SRSF2 were detected as a primary lesion for 2 patients each. In contrast, large-scale genomic alterations such as del(5q), del(RUNX1) or trisomy 8 occurred as late-end lesion or even defined distinct clones which coexist with others harboring different mutations as detected for 2 subjects. Surprisingly, CD19+ and CD3+ lymphocytes from primary and/or xenografted BM displayed significant mutational burden of at least 1 mutation in 50% of the MDS cohort (5/10). Moreover, mutations were detected simultaneously in lymphocytes (hCD19+) as well as myeloid (hCD33+) and erythroid (hCD235a+) cells from three xenografted samples indicating a potent multilineage engraftment capability of MDS hematopoietic stem cells. Interestingly, one individual presented with high RUNX1 mutational frequency in the primary early progenitor fraction (CD34+CD38+), which was absent in the stem-cell enriched fraction (CD34+CD38-), whereas TET2, ZRSR2 and ASXL1 mutations were detected in both fractions and their xenografts. Intriguingly, only xenotransplantation of primary CD34+38- BM cells lead to long-term engraftment of RUNX1 wild type human BM cells in mice, while CD34+CD38+ BM cells gave rise to short term engraftment of RUNX1 mutated human BM cells indicating that mutated RUNX1might originate in a more committed progenitor fraction with limited self-renewal potential. Conclusion Molecular characterization of oligoclonal mutation patterns in primary and xenograft BM allowed the establishment of individual mutational hierarchies and indicates a relatively random order in the mutational evolution of MDS clones, although spliceosome mutations appear as rather early events. Furthermore, our analysis revealed engraftment of independent MDS clones in different mice xenografted with the same subject material, which opens the door to the in vivo study of isolated clones with respect to their pathomechanisms and response to treatment. Our data also suggests that the occurrence of large-scale genomic aberrations is frequently preceded by small-scale gene mutations, emphasizing their potential role in disease diagnosis and risk stratification. Finally, detection of MDS specific mutations in the lymphocytic compartment might be involved in facilitating impaired immune functionality and needs to be investigated prospectively. Disclosures: Haferlach: MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Staller:MLL Munich Leukemia Laboratory: Employment. Kohlmann:MLL Munich Leukemia Laboratory: Employment; Roche Diagnostics: Honoraria.


2012 ◽  
Vol 2012 ◽  
pp. 1-15 ◽  
Author(s):  
Santosh Kumar ◽  
Travis W. Banks ◽  
Sylvie Cloutier

The decreasing cost along with rapid progress in next-generation sequencing and related bioinformatics computing resources has facilitated large-scale discovery of SNPs in various model and nonmodel plant species. Large numbers and genome-wide availability of SNPs make them the marker of choice in partially or completely sequenced genomes. Although excellent reviews have been published on next-generation sequencing, its associated bioinformatics challenges, and the applications of SNPs in genetic studies, a comprehensive review connecting these three intertwined research areas is needed. This paper touches upon various aspects of SNP discovery, highlighting key points in availability and selection of appropriate sequencing platforms, bioinformatics pipelines, SNP filtering criteria, and applications of SNPs in genetic analyses. The use of next-generation sequencing methodologies in many non-model crops leading to discovery and implementation of SNPs in various genetic studies is discussed. Development and improvement of bioinformatics software that are open source and freely available have accelerated the SNP discovery while reducing the associated cost. Key considerations for SNP filtering and associated pipelines are discussed in specific topics. A list of commonly used software and their sources is compiled for easy access and reference.


2019 ◽  
Vol 25 (31) ◽  
pp. 3350-3357 ◽  
Author(s):  
Pooja Tripathi ◽  
Jyotsna Singh ◽  
Jonathan A. Lal ◽  
Vijay Tripathi

Background: With the outbreak of high throughput next-generation sequencing (NGS), the biological research of drug discovery has been directed towards the oncology and infectious disease therapeutic areas, with extensive use in biopharmaceutical development and vaccine production. Method: In this review, an effort was made to address the basic background of NGS technologies, potential applications of NGS in drug designing. Our purpose is also to provide a brief introduction of various Nextgeneration sequencing techniques. Discussions: The high-throughput methods execute Large-scale Unbiased Sequencing (LUS) which comprises of Massively Parallel Sequencing (MPS) or NGS technologies. The Next geneinvolved necessarily executes Largescale Unbiased Sequencing (LUS) which comprises of MPS or NGS technologies. These are related terms that describe a DNA sequencing technology which has revolutionized genomic research. Using NGS, an entire human genome can be sequenced within a single day. Conclusion: Analysis of NGS data unravels important clues in the quest for the treatment of various lifethreatening diseases and other related scientific problems related to human welfare.


Pathogens ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 461
Author(s):  
Madjid Morsli ◽  
Quentin Kerharo ◽  
Jeremy Delerce ◽  
Pierre-Hugues Roche ◽  
Lucas Troude ◽  
...  

Current routine real-time PCR methods used for the point-of-care diagnosis of infectious meningitis do not allow for one-shot genotyping of the pathogen, as in the case of deadly Haemophilus influenzae meningitis. Real-time PCR diagnosed H. influenzae meningitis in a 22-year-old male patient, during his hospitalisation following a more than six-metre fall. Using an Oxford Nanopore Technologies real-time sequencing run in parallel to real-time PCR, we detected the H. influenzae genome directly from the cerebrospinal fluid sample in six hours. Furthermore, BLAST analysis of the sequence encoding for a partial DUF417 domain-containing protein diagnosed a non-b serotype, non-typeable H.influenzae belonging to lineage H. influenzae 22.1-21. The Oxford Nanopore metagenomic next-generation sequencing approach could be considered for the point-of-care diagnosis of infectious meningitis, by direct identification of pathogenic genomes and their genotypes/serotypes.


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