scholarly journals Next generation sequencing of SARS-CoV-2 genomes: challenges, applications and opportunities

Author(s):  
Matteo Chiara ◽  
Anna Maria D’Erchia ◽  
Carmela Gissi ◽  
Caterina Manzari ◽  
Antonio Parisi ◽  
...  

Abstract Various next generation sequencing (NGS) based strategies have been successfully used in the recent past for tracing origins and understanding the evolution of infectious agents, investigating the spread and transmission chains of outbreaks, as well as facilitating the development of effective and rapid molecular diagnostic tests and contributing to the hunt for treatments and vaccines. The ongoing COVID-19 pandemic poses one of the greatest global threats in modern history and has already caused severe social and economic costs. The development of efficient and rapid sequencing methods to reconstruct the genomic sequence of SARS-CoV-2, the etiological agent of COVID-19, has been fundamental for the design of diagnostic molecular tests and to devise effective measures and strategies to mitigate the diffusion of the pandemic. Diverse approaches and sequencing methods can, as testified by the number of available sequences, be applied to SARS-CoV-2 genomes. However, each technology and sequencing approach has its own advantages and limitations. In the current review, we will provide a brief, but hopefully comprehensive, account of currently available platforms and methodological approaches for the sequencing of SARS-CoV-2 genomes. We also present an outline of current repositories and databases that provide access to SARS-CoV-2 genomic data and associated metadata. Finally, we offer general advice and guidelines for the appropriate sharing and deposition of SARS-CoV-2 data and metadata, and suggest that more efficient and standardized integration of current and future SARS-CoV-2-related data would greatly facilitate the struggle against this new pathogen. We hope that our ‘vademecum’ for the production and handling of SARS-CoV-2-related sequencing data, will contribute to this objective.

2019 ◽  
Vol 26 (2) ◽  
Author(s):  
S. Yip ◽  
A. Christofides ◽  
S. Banerji ◽  
M. R. Downes ◽  
I. Izevbaye ◽  
...  

Rapid advancements in next-generation sequencing (ngs) technology have created an unprecedented opportunity to decipher the molecular profile of tumours to more effectively prevent, diagnose, and treat cancer. Oncologists now have the option to order molecular tests that can guide treatment decisions. However, to date, most oncologists have received limited training in genomics, and they are now faced with the challenge of understanding how such tests and their interpretation align with patient management. Guidance on how to effectively use ngs technology is therefore needed to aid oncologists in applying the results of genomic tests. The Canadian guideline presented here describes best practices and unmet needs related to ngs-based testing for somatic variants in oncology, including clinical application, assay and sample selection, bioinformatics and interpretation of reports performed by laboratories, patient communication, and clinical trials.


2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Santosh Anand ◽  
Eleonora Mangano ◽  
Nadia Barizzone ◽  
Roberta Bordoni ◽  
Melissa Sorosina ◽  
...  

Abstract Sequencing large number of individuals, which is often needed for population genetics studies, is still economically challenging despite falling costs of Next Generation Sequencing (NGS). Pool-seq is an alternative cost- and time-effective option in which DNA from several individuals is pooled for sequencing. However, pooling of DNA creates new problems and challenges for accurate variant call and allele frequency (AF) estimation. In particular, sequencing errors confound with the alleles present at low frequency in the pools possibly giving rise to false positive variants. We sequenced 996 individuals in 83 pools (12 individuals/pool) in a targeted re-sequencing experiment. We show that Pool-seq AFs are robust and reliable by comparing them with public variant databases and in-house SNP-genotyping data of individual subjects of pools. Furthermore, we propose a simple filtering guideline for the removal of spurious variants based on the Kolmogorov-Smirnov statistical test. We experimentally validated our filters by comparing Pool-seq to individual sequencing data showing that the filters remove most of the false variants while retaining majority of true variants. The proposed guideline is fairly generic in nature and could be easily applied in other Pool-seq experiments.


2015 ◽  
Vol 61 (1) ◽  
pp. 124-135 ◽  
Author(s):  
Gavin R Oliver ◽  
Steven N Hart ◽  
Eric W Klee

Abstract BACKGROUND Next generation sequencing (NGS)-based assays continue to redefine the field of genetic testing. Owing to the complexity of the data, bioinformatics has become a necessary component in any laboratory implementing a clinical NGS test. CONTENT The computational components of an NGS-based work flow can be conceptualized as primary, secondary, and tertiary analytics. Each of these components addresses a necessary step in the transformation of raw data into clinically actionable knowledge. Understanding the basic concepts of these analysis steps is important in assessing and addressing the informatics needs of a molecular diagnostics laboratory. Equally critical is a familiarity with the regulatory requirements addressing the bioinformatics analyses. These and other topics are covered in this review article. SUMMARY Bioinformatics has become an important component in clinical laboratories generating, analyzing, maintaining, and interpreting data from molecular genetics testing. Given the rapid adoption of NGS-based clinical testing, service providers must develop informatics work flows that adhere to the rigor of clinical laboratory standards, yet are flexible to changes as the chemistry and software for analyzing sequencing data mature.


2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Lin Liu ◽  
Yinhu Li ◽  
Siliang Li ◽  
Ni Hu ◽  
Yimin He ◽  
...  

With fast development and wide applications of next-generation sequencing (NGS) technologies, genomic sequence information is within reach to aid the achievement of goals to decode life mysteries, make better crops, detect pathogens, and improve life qualities. NGS systems are typically represented by SOLiD/Ion Torrent PGM from Life Sciences, Genome Analyzer/HiSeq 2000/MiSeq from Illumina, and GS FLX Titanium/GS Junior from Roche. Beijing Genomics Institute (BGI), which possesses the world’s biggest sequencing capacity, has multiple NGS systems including 137 HiSeq 2000, 27 SOLiD, one Ion Torrent PGM, one MiSeq, and one 454 sequencer. We have accumulated extensive experience in sample handling, sequencing, and bioinformatics analysis. In this paper, technologies of these systems are reviewed, and first-hand data from extensive experience is summarized and analyzed to discuss the advantages and specifics associated with each sequencing system. At last, applications of NGS are summarized.


2021 ◽  
Author(s):  
Hyungtaek Jung ◽  
Brendan Jeon ◽  
Daniel Ortiz-Barrientos

Storing and manipulating Next Generation Sequencing (NGS) file formats is an essential but difficult task in biological data analysis. The easyfm ( easy f ile m anipulation) toolkit ( https://github.com/TaekAndBrendan/easyfm ) makes manipulating commonly used NGS files more accessible to biologists. It enables them to perform end-to-end reproducible data analyses using a free standalone desktop application (available on Windows, Mac and Linux). Unlike existing tools (e.g. Galaxy), the Graphical User Interface (GUI)-based easyfm is not dependent on any high-performance computing (HPC) system and can be operated without an internet connection. This specific benefit allow easyfm to seamlessly integrate visual and interactive representations of NGS files, supporting a wider scope of bioinformatics applications in the life sciences.


2015 ◽  
Vol 9 ◽  
pp. BBI.S12462 ◽  
Author(s):  
Anastasis Oulas ◽  
Christina Pavloudi ◽  
Paraskevi Polymenakou ◽  
Georgios A. Pavlopoulos ◽  
Nikolas Papanikolaou ◽  
...  

Advances in next-generation sequencing (NGS) have allowed significant breakthroughs in microbial ecology studies. This has led to the rapid expansion of research in the field and the establishment of “metagenomics”, often defined as the analysis of DNA from microbial communities in environmental samples without prior need for culturing. Many metagenomics statistical/computational tools and databases have been developed in order to allow the exploitation of the huge influx of data. In this review article, we provide an overview of the sequencing technologies and how they are uniquely suited to various types of metagenomic studies. We focus on the currently available bioinformatics techniques, tools, and methodologies for performing each individual step of a typical metagenomic dataset analysis. We also provide future trends in the field with respect to tools and technologies currently under development. Moreover, we discuss data management, distribution, and integration tools that are capable of performing comparative metagenomic analyses of multiple datasets using well-established databases, as well as commonly used annotation standards.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 3375-3375
Author(s):  
Eri Kawata ◽  
Anargyros Xenocostas ◽  
Cyrus C. Hsia ◽  
Uday Deotare ◽  
Lalit Saini ◽  
...  

Background: A common referral to hematology is for patients with suspected myelodysplastic syndrome (MDS) or cytopenias of undetermined origin. We recently implemented a Next Generation Sequencing (NGS) panel which covers a wide spectrum of genes related to the major myeloid disorders, including DNA based gene sequencing and RNA based gene fusion analysis, as a tier one clinical diagnostic test (Levy et al. Eur. J. Haematol 2019). We compared the diagnostic and prognostic information derived from conventional cytogenetics and NGS testing as well as the clinical impact on management in this patient group. Methods: We identified all new cases with suspected MDS or cytopenias of undetermined origin referred between January 2018 to February 2019 that had both NGS and cytogenetic testing at London Health Sciences Centre, a tertiary care centre servicing a population of approximately 2.5 million in Southwestern Ontario, Canada. From the retrospective review of electronic medical record, patient demographics, diagnosis and management were ascertained. Diagnosis was based on the 2016 WHO classification and the ICD-10.Previously reported definitions for ICUS, IDUS, CHIP, and CCUSwere also adopted (Bejar et al. Leukemia 2017). Patients not meeting these criteria were defined as either cytopenia not yet determined (NYD) or secondary to other systemic disease. The impact of NGS and cytogenetics results on diagnosis, prognosis, and management of each disease were assessed by referring to the latest National Comprehensive Cancer Network (NCCN) Clinical Practice Guidelines in Oncology. Either a bone marrow (BM) or peripheral blood (PB) sample from each patient was assessed by the Oncomine Myeloid NGS panel (Thermo-Fisher, MA, USA), which examines DNA sequence variants in 40 genes (17 full genes and 23 hotspot genes) along with an RNA-based panel of 29 fusion driver genes and their over 600 fusion partners. Patients' BM samples were also tested by the conventional cytogenetic G-banding method. Results: Of the 1100 samples assessed by NGS, 178 met the study inclusion criteria. Overall, 120 (67.4%) patients had both cytogenetics and NGS performed on their BM samples. Of those 120 patients, 41 (34.2%) had DNA mutations, 17 (14.2%) had cytogenetic abnormalities, 22 (18.3%) had both molecular and cytogenetic findings, and 40 (33.3%) had neither abnormality identified. NGS Information contributed in diagnosing 13 (10.8%) patients, while cytogenetics in 6 (5%) patients. In addition, of 38 patients who were diagnosed as MDS with good/intermediate risk cytogenetics, 24 (63.2%) harbored poor prognostic risk mutations as detected by NGS (Table), influencing the management of disease. Additionally, 22 (12.4%) of all patients had NGS testing using PB and cytogenetics using BM samples, and of these 13 (52.2%) patients had NGS abnormalities. Finally, 36 (20.2%) of all patients had only NGS testing by PB samples. Of those, 12 (33.3%) were found to harbor at least one gene mutation including ASXL1, TP53, ZRSR2, and STAG1 suggesting poor prognostic significance for diagnoses of MDS, or JAK2, SF3B1 which could support a disease specific diagnosis. Conclusion: NGS had enhanced diagnostic capabilities including classification of newly described entities such as ICUS or CCUS and more importantly yielded additional prognostic information compared to cytogenetics alone for this patient population. Cytogenetic findings were mainly aneuploidy or deletions, either clinically evident constitutional abnormalities such as Trisomy 21 and +X in Klinefelter syndrome, or loss of Y chromosome in a small proportion of cells and thus of questionable clinical significance. Based on this information consideration should be given to using the NGS panel as the primary molecular diagnostic and prognostic tool with karyotyping being reserved for subsets of patients being assessed for suspected MDS or cytopenias of undetermined origin. Disclosures Hsia: Amgen: Honoraria; Jansen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees.


Viruses ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 750
Author(s):  
Jutta Kasurinen ◽  
Cindy M. Spruit ◽  
Anu Wicklund ◽  
Maria I. Pajunen ◽  
Mikael Skurnik

Bacteriophage vB_EcoM_fHy-Eco03 (fHy-Eco03 for short) was isolated from a sewage sample based on its ability to infect an Escherichia coli clinical blood culture isolate. Altogether, 32 genes encoding hypothetical proteins of unknown function (HPUFs) were identified from the genomic sequence of fHy-Eco03. The HPUFs were screened for toxic properties (toxHPUFs) with a novel, Next Generation Sequencing (NGS)-based approach. This approach identifies toxHPUF-encoding genes through comparison of gene-specific read coverages in DNA from pooled ligation mixtures before electroporation and pooled transformants after electroporation. The performance and reliability of the NGS screening assay was compared with a plating efficiency-based method, and both methods identified the fHy-Eco03 gene g05 product as toxic. While the outcomes of the two screenings were highly similar, the NGS screening assay outperformed the plating efficiency assay in both reliability and efficiency. The NGS screening assay can be used as a high throughput method in the search for new phage-inspired antimicrobial molecules.


2015 ◽  
Vol 114 (11) ◽  
pp. 920-932 ◽  
Author(s):  
Joost C. M. Meijers ◽  
Saskia Middeldorp ◽  
Marisa L. R. Cunha

SummaryDespite knowledge of various inherited risk factors associated with venous thromboembolism (VTE), no definite cause can be found in about 50% of patients. The application of data-driven searches such as GWAS has not been able to identify genetic variants with implications for clinical care, and unexplained heritability remains. In the past years, the development of several so-called next generation sequencing (NGS) platforms is offering the possibility of generating fast, inexpensive and accurate genomic information. However, so far their application to VTE has been very limited. Here we review basic concepts of NGS data analysis and explore the application of NGS technology to VTE. We provide both computational and biological viewpoints to discuss potentials and challenges of NGS-based studies.


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