scholarly journals The First Kazakh Whole Genomes: The First Report of NGS Data

2014 ◽  
Vol 3 ◽  
Author(s):  
Ainur Akilzhanova ◽  
Ulykbek Kairov ◽  
Saule Rakhimova ◽  
Askhat Molkenov ◽  
Arang Rhie ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Pilot Study ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Reference Genome ◽  
Whole Genome ◽  
Base Pairs ◽  
Kazakh Population ◽  
Whole Genomes ◽  
Generation Sequencing

Introduction: The human genome sequence will underpin human biology and medicine in the next century, providing a single, essential reference to all genetic information. Extraordinary technological advances and decreases in the cost of DNA sequencing have made the possibility of whole genome sequencing (WGS) feasible as a highly accessible test for numerous indications. The international project “Genetic architecture of Kazakh population” is well underway to determine the complete DNA. Next generation sequencing is a powerful tool for genetic analysis, which will enable us to uncover the association of loci at specific sites in the genome associated with disease. The aim of this study was to introduce first data on WGS of 6 Kazakh individuals.Methods: This pilot study is among the first WGS performed on 6 healthy Kazakh individuals, using next generation sequencing platform HiSeq2000, Illumina by manufacturer’s protocols. All generated *.bcl files were simultaneously converted and demultiplexed using bcl2fasta application. Alignment of sequence reads performed using bwa-mem against human b19 reference genome. Sorting, removing of intermediate files, *.bam files assembling, and marking duplicates were performed using PicardTools package. GATK haplotype caller tool was used for variant calling. ClinVar, SNPedia, and Cosmic databases were processed to identify clinical genomic variants in 6 Kazakh whole genomes. Java Runtime Environment and R. Bioconductor packages were installed to perform raw data processing and run program scripts.Results: The sequence alignment and mapping procedures on reference genome hg19 of each 6 healthy Kazakh individual were completed. Between 87,308,581,400 and 107,526,741,301 total base pairs were sequenced with average coverage x29.85. Between 98.85% and 99.58% base pairs were totally mapped and on average 96.07% were properly paired. Het/Hom and Ti/Tv ratios for each whole genome ranged from 1.35 to 1.52 and from 2.07 to 2.08, respectively. We compared and analyzed each genome with on existing clinical databases ClinVar, SNPedia, Cosmic and found from 20 to 25, from 269 to 288, from 7 to 12 SNP records, respectively. The availability of a reference Kazakh genome sequences provides the basis for studying the nature of sequence variation, particularly single nucleotide polymorphisms.Conclusion: The first whole genome sequencing of Kazakhs were performed. In this pilot study, we identified SNPs associated with different conditions. Further studies of WGS on Kazakh population are needed to identify possible unique genetic variants in Kazakhs.

scholarly journals Whole genome sequencing suggests transmission of Corynebacterium diphtheriae-caused cutaneous diphtheria in two siblings, Germany, 2018

2019 ◽  
Vol 24 (2) ◽  
Author(s):  
Anja Berger ◽  
Alexandra Dangel ◽  
Tilmann Schober ◽  
Birgit Schmidbauer ◽  
Regina Konrad ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Corynebacterium Diphtheriae ◽  
Whole Genome ◽  
Next Generation ◽  
Insect Bites ◽  
Next Generation Sequencing Ngs ◽  
Ngs Data ◽  
Generation Sequencing

In September 2018, a child who had returned from Somalia to Germany presented with cutaneous diphtheria by toxigenic Corynebacterium diphtheriae biovar mitis. The child’s sibling had superinfected insect bites harbouring also toxigenic C. diphtheriae. Next generation sequencing (NGS) revealed the same strain in both patients suggesting very recent human-to-human transmission. Epidemiological and NGS data suggest that the two cutaneous diphtheria cases constitute the first outbreak by toxigenic C. diphtheriae in Germany since the 1980s.

scholarly journals Comparison of targeted next-generation sequencing for whole-genome sequencing of Hantaan orthohantavirus in Apodemus agrarius lung tissues

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Jin Sun No ◽  
Won-Keun Kim ◽  
Seungchan Cho ◽  
Seung-Ho Lee ◽  
Jeong-Ah Kim ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Clinical Samples ◽  
Whole Genome ◽  
Target Enrichment ◽  
Next Generation ◽  
Apodemus Agrarius ◽  
Target Capture ◽  
Generation Sequencing

Abstract Orthohantaviruses, negative-sense single-strand tripartite RNA viruses, are a global public health threat. In humans, orthohantavirus infection causes hemorrhagic fever with renal syndrome or hantavirus cardiopulmonary syndrome. Whole-genome sequencing of the virus helps in identification and characterization of emerging or re-emerging viruses. Next-generation sequencing (NGS) is a potent method to sequence the viral genome, using molecular enrichment methods, from clinical specimens containing low virus titers. Hence, a comparative study on the target enrichment NGS methods is required for whole-genome sequencing of orthohantavirus in clinical samples. In this study, we used the sequence-independent, single-primer amplification, target capture, and amplicon NGS for whole-genome sequencing of Hantaan orthohantavirus (HTNV) from rodent specimens. We analyzed the coverage of the HTNV genome based on the viral RNA copy number, which is quantified by real-time quantitative PCR. Target capture and amplicon NGS demonstrated a high coverage rate of HTNV in Apodemus agrarius lung tissues containing up to 103–104 copies/μL of HTNV RNA. Furthermore, the amplicon NGS showed a 10-fold (102 copies/μL) higher sensitivity than the target capture NGS. This report provides useful insights into target enrichment NGS for whole-genome sequencing of orthohantaviruses without cultivating the viruses.

scholarly journals Human whole genome sequencing in South Africa

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Brigitte Glanzmann ◽  
Tracey Jooste ◽  
Samira Ghoor ◽  
Richard Gordon ◽  
Rizwana Mia ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
South African ◽  
Genome Sequencing ◽  
Genomic Research ◽  
Whole Genome ◽  
Human Dna ◽  
Whole Genomes ◽  
World Class ◽  
Average Sequencing Depth ◽  
Generation Sequencing

AbstractThe advent and evolution of next generation sequencing has considerably impacted genomic research. Until recently, South African researchers were unable to access affordable platforms capable of human whole genome sequencing locally and DNA samples had to be exported. Here we report the whole genome sequences of the first six human DNA samples sequenced and analysed at the South African Medical Research Council’s Genomics Centre. We demonstrate that the data obtained is of high quality, with an average sequencing depth of 36.41, and that the output is comparable to data generated internationally on a similar platform. The Genomics Centre creates an environment where African researchers are able to access world class facilities, increasing local capacity to sequence whole genomes as well as store and analyse the data.

scholarly journals Human Whole Genome Sequencing in South Africa

2020 ◽  
Author(s):  
Brigitte Glanzmann ◽  
Tracey Jooste ◽  
Samira Ghoor ◽  
Richard Gordon ◽  
Rizwana Mia ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
South African ◽  
Genome Sequencing ◽  
Genomic Research ◽  
Whole Genome ◽  
Human Dna ◽  
Whole Genomes ◽  
World Class ◽  
Average Sequencing Depth ◽  
Generation Sequencing

ABSTRACTThe advent and evolution of next generation sequencing has considerably impacted genomic research. Until recently, South African researchers were unable to access affordable platforms capable of human whole genome sequencing locally and DNA samples had to be exported. Here we report the whole genome sequences of the first six human DNA samples sequenced and analysed at the South African Medical Research Council’s Genomics Centre. We demonstrate that the data obtained is of high quality, with an average sequencing depth of 36.41, and that the output is comparable to data generated internationally on a similar platform. The Genomics Centre creates an environment where African researchers are able to access world class facilities, increasing local capacity to sequence whole genomes as well as store and analyse the data.

scholarly journals Whole genome sequencing of Indonesian dengue virus isolates using next-generation sequencing

2018 ◽  
Vol 23 (2) ◽  
pp. 74
Author(s):  
Benediktus Yohan ◽  
Rama Dhenni ◽  
Rahma F Hayati ◽  
Frilasita Aisyah Yudhaputri ◽  
Dionisius Denis ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Vaccine Development ◽  
Antiviral Drug ◽  
Clinical Aspects ◽  
High Morbidity ◽  
Whole Genome ◽  
Next Generation ◽  
Generation Sequencing

Indonesia is a tropical country and hyperendemic for dengue. The disease prevalently affected Indonesian and it caused high morbidity and substantial economic burden. This vector-borne viral disease is caused by infection of dengue viruses (DENVs), which are the member of Flaviviridae family. While most of dengue studies in Indonesia focused on the epidemiology, the clinical aspects, the vectors, and to certain extent the virology, there were still gaps in the DENVs genomic aspects. Considering their high mutation rate, the DENVs were known for their high genetic diversity and it might affect the characteristics of the viruses. Comprehensive DENV genomic data were thus important for many aspects of disease management, including virus surveillance, pathogenesis, diagnostics, antiviral drug design, and vaccine development. We established in this study a method for DENV whole genome sequencing using the advanced Next-Generation Sequencing (NGS) and Nextera XT DNA library preparation kit, coupled with simplified bioinformatic analysis methods. The Indonesian DENVs from four serotypes were isolated from patients’ sera, while library was prepared from enriched templates and sequenced using Illumina NGS. Our study highlighted the potential of a robust NGS method in producing whole genome sequence of DENVs, which would be important for future dengue studies.

scholarly journals Development and Validation of a High-Throughput Next-Generation Sequencing Workflow for SARS-CoV-2 Whole Genome Sequencing: Results from Over 65,000 Clinical Cases

2021 ◽  
Author(s):  
Sun Hee Rosenthal ◽  
Anna Gerasimova ◽  
Rolando Ruiz-Vega ◽  
Kayla Livingston ◽  
Ron M. Kagan ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
High Throughput ◽  
The United States ◽  
Primer Binding Site ◽  
Whole Genome ◽  
Next Generation ◽  
Pcr Method ◽  
Generation Sequencing

Abstract Monitoring new mutations in SARS-CoV-2 provides crucial information for identifying diagnostic and therapeutic targets and important insights to achieve a more effective COVID-19 control strategy. Next generation sequencing (NGS) technologies have been widely used for whole genome sequencing of SARS-CoV-2. While various NGS methods have been reported, one chief limitation has been the complexity of the workflow, limiting the scalability. Here, we overcome this limitation by designing a workflow optimized for high-throughput studies. The workflow utilizes modified ARTIC network v3 primers for SARS-CoV-2 whole genome amplification. NGS libraries were prepared by a 2-step PCR method, similar to a previously reported tailed PCR method, with further optimizations to improve amplicon balance, to minimize amplicon dropout for viral genomes harboring primer-binding site mutation(s), and to integrate robotic liquid handlers. Validation studies demonstrated that the optimized workflow can process up to 2,688 samples in a single sequencing run without compromising sensitivity and accuracy and with fewer amplicon dropout events compared to the standard ARTIC protocol. We additionally report results for over 65,000 SARS-CoV-2 whole genome sequences from clinical specimens collected in the United States between January and September of 2021, as part of an ongoing national genomics surveillance effort.

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