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2025 ◽  
Vol 77 (11) ◽  
pp. 6589-2025
Author(s):  
ALEKSANDRA GIZA ◽  
EWELINA IWAN ◽  
ARKADIUSZ BOMBA ◽  
DARIUSZ WASYL

Sequencing can provide genomic characterisation of a specific organism, as well as of a whole environmental or clinical sample. High Throughput Sequencing (HTS) makes it possible to generate an enormous amount of genomic data at gradually decreasing costs and almost in real-time. HTS is used, among others, in medicine, veterinary medicine, microbiology, virology and epidemiology. The paper presents practical aspects of the HTS technology. It describes generations of sequencing, which vary in throughput, read length, accuracy and costs ̶ and thus are used for different applications. The stages of HTS, as well as their purposes and pitfalls, are presented: extraction of the genetic material, library preparation, sequencing and data processing. For success of the whole process, all stages need to follow strict quality control measurements. Choosing the right sequencing platform, proper sample and library preparation procedures, as well as adequate bioinformatic tools are crucial for high quality results.


2022 ◽  
Author(s):  
Jason Nguyen ◽  
Rebecca Hickman ◽  
Tracy Lee ◽  
Natalie Prystajecky ◽  
John Tyson

This procedure provides instructions on how to prepare DNA libraries for whole genome sequencing on an Illumina MiSeq or NextSeq using Illumina’s DNA Prep Library Preparation Kit scaled to half reaction volumes with modifications to the post-PCR procedures; tagmentation stop buffer and associated washes are removed and libraries are pooled post PCR then a single size selection is performed. This protocol is used to sequence SARS-CoV-2 using the cDNA/PCR protocol: https://dx.doi.org/10.17504/protocols.io.b3viqn4e


2022 ◽  
Author(s):  
Jason Nguyen ◽  
Rebecca Hickman ◽  
Tracy Lee ◽  
Natalie Prystajecky ◽  
John Tyson

This procedure provides instructions on how to prepare DNA libraries for whole genome sequencing on an Illumina MiSeq or NextSeq using Illumina’s DNA Prep Library Preparation Kit scaled to half reaction volumes with modifications to the post-PCR procedures; tagmentation stop buffer and associated washes are removed and libraries are pooled post PCR then a single size selection is performed.


Author(s):  
Murat Sayan ◽  
Ayse Arikan ◽  
Murat Isbilen

Aims: This study determined SARS-CoV-2 variations by phylogenetic and virtual phenotyping analyses. Materials & methods: Strains isolated from 143 COVID-19 cases in Turkey in April 2021 were assessed. Illumina NexteraXT library preparation kits were processed for next-generation ]sequencing. Phylogenetic (neighbor-joining method) and virtual phenotyping analyses (Coronavirus Antiviral and Resistance Database [CoV-RDB] by Stanford University) were used for variant analysis. Results: B.1.1.7–1/2 (n = 103, 72%), B.1.351 (n = 5, 3%) and B.1.525 (n = 1, 1%) were identified among 109 SARS-CoV-2 variations by phylogenetic analysis and B.1.1.7 (n = 95, 66%), B.1.351 (n = 5, 4%), B.1.617 (n = 4, 3%), B.1.525 (n = 2, 1.4%), B.1.526-1 (n = 1, 0.6%) and missense mutations (n = 15, 10%) were reported by CoV-RDB. The two methods were 85% compatible and B.1.1.7 (alpha) was the most frequent SARS-CoV-2 variation in Turkey in April 2021. Conclusion: The Stanford CoV-RDB analysis method appears useful for SARS-CoV-2 lineage surveillance.


Genes ◽  
2022 ◽  
Vol 13 (1) ◽  
pp. 129
Author(s):  
Elena I. Zavala ◽  
Jacqueline Tyler Thomas ◽  
Kimberly Sturk-Andreaggi ◽  
Jennifer Daniels-Higginbotham ◽  
Kerriann K. Meyers ◽  
...  

The integration of massively parallel sequencing (MPS) technology into forensic casework has been of particular benefit to the identification of unknown military service members. However, highly degraded or chemically treated skeletal remains often fail to provide usable DNA profiles, even with sensitive mitochondrial (mt) DNA capture and MPS methods. In parallel, the ancient DNA field has developed workflows specifically for degraded DNA, resulting in the successful recovery of nuclear DNA and mtDNA from skeletal remains as well as sediment over 100,000 years old. In this study we use a set of disinterred skeletal remains from the Korean War and World War II to test if ancient DNA extraction and library preparation methods improve forensic DNA profiling. We identified an ancient DNA extraction protocol that resulted in the recovery of significantly more human mtDNA fragments than protocols previously used in casework. In addition, utilizing single-stranded rather than double-stranded library preparation resulted in increased attainment of reportable mtDNA profiles. This study emphasizes that the combination of ancient DNA extraction and library preparation methods evaluated here increases the success rate of DNA profiling, and likelihood of identifying historical remains.


2021 ◽  
Vol 5 (2) ◽  
pp. 24
Author(s):  
Dino Pećar ◽  
Ivana Čeko ◽  
Lana Salihefendić ◽  
Rijad Konjhodžić

Monitoring of the lineages SARS-CoV-2 is equally important in a fight against COVID-19 epidemics, as is regular RT - PCR testing. Ion AmpliSeq Library kit plus is a robust and validated protocol for library preparation, but certain optimizations for better sequencing results were required. Clinical SARS-CoV-2 samples were transported in three different viral transport mediums (VTM), on arrival at the testing lab, samples were stored on -20OC. Viral RNA isolation was done on an automatic extractor using a magnetic beads-based protocol. Screening for positive SARS-CoV-2 samples was performed on RT–PCR with IVD certified detection kit. This study aims to present results as follows: impact of first PCR cycle variation on library quantity, comparison of VTMs with a quantified library, maximum storage time of virus and correlation between used cDNA synthesis kit with generated target base coverage. Our results confirmed the adequacy of the three tested VTMs for SARS-CoV-2 whole-genome sequencing. Tested cDNA synthesis kits are valid for NGS library preparation and all kits give good quality cDNA uniformed in viral sequence coverage. Results of this report are useful for applicative scientists who work on SARS-CoV-2 whole-genome sequencing to compare and apply good laboratory practice for optimal preparation of the NGS library.


2021 ◽  
Author(s):  
Marketa Nykrynova ◽  
Vojtech Barton ◽  
Roman Jakubicek ◽  
Matej Bezdicek ◽  
Martina Lengerova ◽  
...  

Recently, nanopore sequencing has come to the fore as library preparation is rapid and simple, sequencing can be done almost anywhere, and longer reads are obtained than with next-generation sequencing. The main bottleneck still lies in data postprocessing which consists of basecalling, genome assembly, and localizing significant sequences, which is time consuming and computationally demanding, thus prolonging delivery of crucial results for clinical practice. Here, we present a neural network-based method capable of detecting and classifying specific genomic regions already in raw nanopore signals - squiggles. Therefore, the basecalling process can be omitted entirely as the raw signals of significant genes, or intergenic regions can be directly analysed, or if the nucleotide sequences are required, the identified squiggles can be basecalled, preferably to others. The proposed neural network could be included directly in the sequencing run, allowing real-time squiggle processing.


2021 ◽  
Author(s):  
Padmini Ramachandran ◽  
Tamara Walsky ◽  
Amanda Windsor ◽  
maria.hoffmann not provided ◽  
Chris Grim

This procedure outlines the protocol for sequencing of VarSkip Short SARS-CoV-2 cDNA amplicons using the Illumina DNA Prep library preparation kit for sequencing on an Illumina MiSeq sequencer.


2021 ◽  
Author(s):  
Padmini Ramachandran ◽  
Tamara Walsky ◽  
Amanda Windsor ◽  
maria.hoffmann not provided ◽  
Chris Grim

PURPOSE: This method was developed at the FDA’s Center for Food Safety and Applied Nutrition for GenomeTrakr’s pandemic response project, monitoring SARS-CoV-2 variants in wastewater. Protocols developed for this project cover wastewater collection, concentration, RNA extraction, RT-qPCR, library prep, genome sequencing, quality control checks, and data submission to NCBI. This modified protocol details methods for cDNA synthesis and library preparation for sequencing of wastewater samples containing SARS-CoV-2. The protocol is based primarily on the NEBNext® ARTIC SARS-CoV-2 Library Prep Kit (Illumina®), NEB #E7650S/L 24/96 reactions, with a few modifications. Primarily, VarSkip Short primers are used in place of the ARTIC V3 primers. These primers are available in the NEBNext®ARTIC SARS-CoV-2 FS Library Prep Kit (Illumina®); however, for optimal variant detection from wastewater, sequenced fragments should be as large as possible, so we discourage fragmentation prior to end prep. There are a couple of decision points in this protocol. Examining cDNA amplicon samples on an Agilent TapeStation system or similar fragment analyzer is extremely helpful in making these decisions.


2021 ◽  
Author(s):  
Hiroki Ura ◽  
Sumihito Togi ◽  
Yo Niida

Abstract Background mRNA sequencing is a powerful technique, which is used to investigate the transcriptome status of a gene of interest, such as its transcription level and splicing variants. Presently, several RNA sequencing (RNA-Seq) methods have been developed; however, the relative advantage of each method has remained unknown. Here we used three commercially available RNA-Seq library preparation kits; the traditional method (TruSeq), in addition to full-length double-stranded cDNA methods (SMARTer and TeloPrime) to investigate the advantages and disadvantages of these three approaches in transcriptome analysis. Results We observed that the number of expressed genes detected from the TeloPrime sequencing method was fewer than that obtained using the TruSeq and SMARTer. We also observed that the expression patterns between TruSeq and SMARTer correlated strongly. Alternatively, SMARTer and TeloPrime methods underestimated the expression of relatively long transcripts. Moreover, genes having low expression levels were undetected stochastically regardless of any three methods used. Furthermore, although TeloPrime detected a significantly higher proportion at the transcription start site (TSS), its coverage of the gene body was not uniform. SMARTer is proposed to be yielded for nonspecific genomic DNA amplification. In contrast, the detected splicing event number was highest in the TruSeq. The percent spliced in index (PSI) of the three methods was highly correlated. Conclusions TruSeq detected transcripts and splicing events better than the other methods and measured expression levels of genes, in addition to splicing events accurately. However, although detected transcripts and splicing events in TeloPrime were fewer, the coverage at TSS was highest. Additionally, SMARTer was better than TeloPrime among the understudied full-length double-stranded cDNA methods. In conclusion, for short-read sequencing, TruSeq has relative advantages for use in transcriptome analysis.


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