scholarly journals High Throughput Nanopore Sequencing of SARS-CoV-2 Viral Genomes from Patient Samples

2021 ◽  
Author(s):  
Adrian A. Pater ◽  
Michael S. Bosmeny ◽  
Mansi Parasrampuria ◽  
Seth B. Eddington ◽  
Katy N. Ovington ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Sequencing ◽  
Rna Extraction ◽  
Nanopore Sequencing ◽  
The Novel ◽  
Viral Genomes ◽  
Primer Sets ◽  
Novel Coronavirus ◽  
Sequencing Platforms ◽  
Effective Public Health

ABSTRACTIn late 2019, a novel coronavirus began spreading in Wuhan, China, causing a potentially lethal respiratory viral infection. By early 2020, the novel coronavirus, called SARS-CoV-2, had spread globally, causing the COVID-19 pandemic. The infection and mutation rates of SARS-CoV-2 make it amenable to tracking movement and evolution by viral genome sequencing. Efforts to develop effective public health policies, therapeutics, or vaccines to treat or prevent COVID-19 are also expected to benefit from tracking mutations of the SARS-CoV-2 virus. Here we describe a set of comprehensive working protocols, from viral RNA extraction to analysis using online visualization tools, for high throughput sequencing of SARS-CoV-2 viral genomes using a MinION instrument. This set of protocols should serve as a reliable ‘how-to’ reference for generating quality SARS-CoV-2 genome sequences with ARTIC primer sets and next-generation nanopore sequencing technology. In addition, many of the preparation, quality control, and analysis steps will be generally applicable to other sequencing platforms.

scholarly journals Improved Selection of Internal Transcribed Spacer-Specific Primers Enables Quantitative, Ultra-High-Throughput Profiling of Fungal Communities

2013 ◽  
Vol 79 (8) ◽  
pp. 2519-2526 ◽  
Author(s):  
Nicholas A. Bokulich ◽  
David A. Mills
Keyword(s):  
High Throughput ◽  
Internal Transcribed Spacer ◽  
High Throughput Sequencing ◽  
Work Flow ◽  
Fungal Communities ◽  
Amplification Bias ◽  
Sequencing Technologies ◽  
Yeast Community ◽  
Primer Sets ◽  
Sequencing Platforms

ABSTRACTUltra-high-throughput sequencing (HTS) of fungal communities has been restricted by short read lengths and primer amplification bias, slowing the adoption of newer sequencing technologies to fungal community profiling. To address these issues, we evaluated the performance of several common internal transcribed spacer (ITS) primers and designed a novel primer set and work flow for simultaneous quantification and species-level interrogation of fungal consortia. Primer comparison and validation were predictedin silicoand by sequencing a “mock community” of mixed yeast species to explore the challenges of amplicon length and amplification bias for reconstructing defined yeast community structures. The amplicon size and distribution of this primer set are smaller than for all preexisting ITS primer sets, maximizing sequencing coverage of hypervariable ITS domains by very-short-amplicon, high-throughput sequencing platforms. This feature also enables the optional integration of quantitative PCR (qPCR) directly into the HTS preparatory work flow by substituting qPCR with these primers for standard PCR, yielding quantification of individual community members. The complete work flow described here, utilizing any of the qualified primer sets evaluated, can rapidly profile mixed fungal communities and capably reconstructed well-characterized beer and wine fermentation fungal communities.

scholarly journals Standards for Sequencing Viral Genomes in the Era of High-Throughput Sequencing

mBio ◽  
2014 ◽  
Vol 5 (3) ◽  
Author(s):  
Jason T. Ladner ◽  
Brett Beitzel ◽  
Patrick S. G. Chain ◽  
Matthew G. Davenport ◽  
Eric Donaldson ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Sequencing ◽  
Cost Benefit ◽  
Genome Sequences ◽  
Common Component ◽  
Viral Genomes ◽  
Genome Finishing ◽  
Sequencing Technologies ◽  
Trade Offs ◽  
Sequencing Platforms

ABSTRACT Thanks to high-throughput sequencing technologies, genome sequencing has become a common component in nearly all aspects of viral research; thus, we are experiencing an explosion in both the number of available genome sequences and the number of institutions producing such data. However, there are currently no common standards used to convey the quality, and therefore utility, of these various genome sequences. Here, we propose five “standard” categories that encompass all stages of viral genome finishing, and we define them using simple criteria that are agnostic to the technology used for sequencing. We also provide genome finishing recommendations for various downstream applications, keeping in mind the cost-benefit trade-offs associated with different levels of finishing. Our goal is to define a common vocabulary that will allow comparison of genome quality across different research groups, sequencing platforms, and assembly techniques.

scholarly journals Reliable and accurate diagnostics from highly multiplexed sequencing assays

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
A. Sina Booeshaghi ◽  
Nathan B. Lubock ◽  
Aaron R. Cooper ◽  
Scott W. Simpkins ◽  
Joshua S. Bloom ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Sequencing ◽  
The Novel ◽  
Sequencing Data ◽  
High Throughput Sequencing Data ◽  
Secure Testing ◽  
Computational Workflow ◽  
Novel Coronavirus ◽  
Robust Statistical Methods ◽  
Memory Efficient

AbstractScalable, inexpensive, and secure testing for SARS-CoV-2 infection is crucial for control of the novel coronavirus pandemic. Recently developed highly multiplexed sequencing assays (HMSAs) that rely on high-throughput sequencing can, in principle, meet these demands, and present promising alternatives to currently used RT-qPCR-based tests. However, reliable analysis, interpretation, and clinical use of HMSAs requires overcoming several computational, statistical and engineering challenges. Using recently acquired experimental data, we present and validate a computational workflow based on kallisto and bustools, that utilizes robust statistical methods and fast, memory efficient algorithms, to quickly, accurately and reliably process high-throughput sequencing data. We show that our workflow is effective at processing data from all recently proposed SARS-CoV-2 sequencing based diagnostic tests, and is generally applicable to any diagnostic HMSA.

scholarly journals Fast and accurate diagnostics from highly multiplexed sequencing assays

2020 ◽  
Author(s):  
A. Sina Booeshaghi ◽  
Nathan B. Lubock ◽  
Aaron R. Cooper ◽  
Scott W. Simpkins ◽  
Joshua S. Bloom ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Sequencing ◽  
The Novel ◽  
Sequencing Data ◽  
High Throughput Sequencing Data ◽  
Computational Testing ◽  
Secure Testing ◽  
Novel Coronavirus ◽  
Robust Statistical Methods ◽  
Memory Efficient

Scalable, inexpensive, accurate, and secure testing for SARS-CoV-2 infection is crucial for control of the novel coronavirus pandemic. Recently developed highly multiplexed sequencing assays that rely on high-throughput sequencing (HMSAs) can, in principle, meet these demands, and present promising alternatives to currently used RT-qPCR-based tests. However, the analysis and interpretation of HMSAs requires overcoming several computational and statistical challenges. Using recently acquired experimental data, we present and validate an accurate and fast computational testing workflow based on kallisto and bustools, that utilize robust statistical methods and fast, memory efficient algorithms for processing high-throughput sequencing data. We show that our workflow is effective at processing data from all recently proposed SARS-CoV-2 sequencing based diagnostic tests, and is generally applicable to any diagnostic HMSAs.

scholarly journals Towards the validation of high-throughput sequencing (HTS) for routine plant virus diagnostics: measurement of variation linked to HTS detection of citrus viruses and viroids

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Rachelle Bester ◽  
Glynnis Cook ◽  
Johannes H. J. Breytenbach ◽  
Chanel Steyn ◽  
Rochelle De Bruyn ◽  
...  
Keyword(s):  
High Throughput ◽  
Extraction Method ◽  
Pathogen Detection ◽  
High Throughput Sequencing ◽  
Expression Profiles ◽  
Rna Extraction ◽  
Healthy Plant ◽  
Ion Torrent ◽  
Extraction Protocol ◽  
Zymo Research

Abstract Background High-throughput sequencing (HTS) has been applied successfully for virus and viroid discovery in many agricultural crops leading to the current drive to apply this technology in routine pathogen detection. The validation of HTS-based pathogen detection is therefore paramount. Methods Plant infections were established by graft inoculating a suite of viruses and viroids from established sources for further study. Four plants (one healthy plant and three infected) were sampled in triplicate and total RNA was extracted using two different methods (CTAB extraction protocol and the Zymo Research Quick-RNA Plant Miniprep Kit) and sent for Illumina HTS. One replicate sample of each plant for each RNA extraction method was also sent for HTS on an Ion Torrent platform. The data were evaluated for biological and technical variation focussing on RNA extraction method, platform used and bioinformatic analysis. Results The study evaluated the influence of different HTS protocols on the sensitivity, specificity and repeatability of HTS as a detection tool. Both extraction methods and sequencing platforms resulted in significant differences between the data sets. Using a de novo assembly approach, complemented with read mapping, the Illumina data allowed a greater proportion of the expected pathogen scaffolds to be inferred, and an accurate virome profile was constructed. The complete virome profile was also constructed using the Ion Torrent data but analyses showed that more sequencing depth is required to be comparative to the Illumina protocol and produce consistent results. The CTAB extraction protocol lowered the proportion of viroid sequences recovered with HTS, and the Zymo Research kit resulted in more variation in the read counts obtained per pathogen sequence. The expression profiles of reference genes were also investigated to assess the suitability of these genes as internal controls to allow for the comparison between samples across different protocols. Conclusions This study highlights the need to measure the level of variation that can arise from the different variables of an HTS protocol, from sample preparation to data analysis. HTS is more comprehensive than any assay previously used, but with the necessary validations and standard operating procedures, the implementation of HTS as part of routine pathogen screening practices is possible.

scholarly journals Illuminating the Plant Rhabdovirus Landscape through Metatranscriptomics Data

Viruses ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1304
Author(s):  
Nicolás Bejerman ◽  
Ralf G. Dietzgen ◽  
Humberto Debat
Keyword(s):  
Plant Species ◽  
High Throughput Sequencing ◽  
Plant Viruses ◽  
The Novel ◽  
Coding Regions ◽  
Public Data ◽  
Invaluable Tool ◽  
Sequencing Platforms ◽  
Viral Sequences ◽  
Plant Rhabdovirus

Rhabdoviruses infect a large number of plant species and cause significant crop diseases. They have a negative-sense, single-stranded unsegmented or bisegmented RNA genome. The number of plant-associated rhabdovirid sequences has grown in the last few years in concert with the extensive use of high-throughput sequencing platforms. Here, we report the discovery of 27 novel rhabdovirus genomes associated with 25 different host plant species and one insect, which were hidden in public databases. These viral sequences were identified through homology searches in more than 3000 plant and insect transcriptomes from the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) using known plant rhabdovirus sequences as the query. The identification, assembly and curation of raw SRA reads resulted in sixteen viral genome sequences with full-length coding regions and ten partial genomes. Highlights of the obtained sequences include viruses with unique and novel genome organizations among known plant rhabdoviruses. Phylogenetic analysis showed that thirteen of the novel viruses were related to cytorhabdoviruses, one to alphanucleorhabdoviruses, five to betanucleorhabdoviruses, one to dichorhaviruses and seven to varicosaviruses. These findings resulted in the most complete phylogeny of plant rhabdoviruses to date and shed new light on the phylogenetic relationships and evolutionary landscape of this group of plant viruses. Furthermore, this study provided additional evidence for the complexity and diversity of plant rhabdovirus genomes and demonstrated that analyzing SRA public data provides an invaluable tool to accelerate virus discovery, gain evolutionary insights and refine virus taxonomy.

scholarly journals Technological advancements and their importance for nematode identification

SOIL ◽  
2016 ◽  
Vol 2 (2) ◽  
pp. 257-270 ◽  
Author(s):  
Mohammed Ahmed ◽  
Melanie Sapp ◽  
Thomas Prior ◽  
Gerrit Karssen ◽  
Matthew Alan Back
Keyword(s):  
High Throughput ◽  
Crop Production ◽  
Large Scale ◽  
High Throughput Sequencing ◽  
Biological Indicators ◽  
Rapid Identification ◽  
Community Studies ◽  
Terrestrial Environments ◽  
Traditional Taxonomy ◽  
Sequencing Platforms

Abstract. Nematodes represent a species-rich and morphologically diverse group of metazoans known to inhabit both aquatic and terrestrial environments. Their role as biological indicators and as key players in nutrient cycling has been well documented. Some plant-parasitic species are also known to cause significant losses to crop production. In spite of this, there still exists a huge gap in our knowledge of their diversity due to the enormity of time and expertise often involved in characterising species using phenotypic features. Molecular methodology provides useful means of complementing the limited number of reliable diagnostic characters available for morphology-based identification. We discuss herein some of the limitations of traditional taxonomy and how molecular methodologies, especially the use of high-throughput sequencing, have assisted in carrying out large-scale nematode community studies and characterisation of phytonematodes through rapid identification of multiple taxa. We also provide brief descriptions of some the current and almost-outdated high-throughput sequencing platforms and their applications in both plant nematology and soil ecology.

scholarly journals DNA metabarcoding of insects and allies: an evaluation of primers and pipelines

2015 ◽  
Vol 105 (6) ◽  
pp. 717-727 ◽  
Author(s):  
G.-J. Brandon-Mong ◽  
H.-M. Gan ◽  
K.-W. Sing ◽  
P.-S. Lee ◽  
P.-E. Lim ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Sequencing ◽  
Illumina Miseq ◽  
Ease Of Use ◽  
Malaise Trap ◽  
Detection Rates ◽  
Operational Taxonomic Units ◽  
Arthropod Species ◽  
Primer Sets ◽  
Arthropod Biodiversity

AbstractMetabarcoding, the coupling of DNA-based species identification and high-throughput sequencing, offers enormous promise for arthropod biodiversity studies but factors such as cost, speed and ease-of-use of bioinformatic pipelines, crucial for making the leapt from demonstration studies to a real-world application, have not yet been adequately addressed. Here, four published and one newly designed primer sets were tested across a diverse set of 80 arthropod species, representing 11 orders, to establish optimal protocols for Illumina-based metabarcoding of tropical Malaise trap samples. Two primer sets which showed the highest amplification success with individual specimen polymerase chain reaction (PCR, 98%) were used for bulk PCR and Illumina MiSeq sequencing. The sequencing outputs were subjected to both manual and simple metagenomics quality control and filtering pipelines. We obtained acceptable detection rates after bulk PCR and high-throughput sequencing (80–90% of input species) but analyses were complicated by putative heteroplasmic sequences and contamination. The manual pipeline produced similar or better outputs to the simple metagenomics pipeline (1.4 compared with 0.5 expected:unexpected Operational Taxonomic Units). Our study suggests that metabarcoding is slowly becoming as cheap, fast and easy as conventional DNA barcoding, and that Malaise trap metabarcoding may soon fulfill its potential, providing a thermometer for biodiversity.

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