Viral loads and profile of the patients infected with SARS-CoV-2 Delta, Alpha or R.1 variants in Tokyo

The rapid spread of the Delta variant of SARS-CoV-2 became a serious concern worldwide in summer 2021. We examined the copy number and variant types of all SARS-CoV-2-positive patients who visited our hospital from February to August 2021 using PCR tests. Whole genome sequencing was performed for some samples. The R.1 variant (B.1.1.316) was responsible for most infections in March, replacing the previous variant (B.1.1.214); the Alpha (B.1.1.7) variant caused most infections in April and May; and the Delta variant (B.1.617.2) was the most prevalent in July and August. There was no significant difference in copy numbers among the previous variant cases (n=29, median 3.0x104 copies/μL), R.1 variant cases (n=28, 2.1x105 copies/μL), Alpha variant cases (n=125, 4.1x105 copies/μL), and Delta variant cases (n=106, 2.4x105 copies/μL). Patients with Delta variant infection were significantly younger than those infected with R.1 and the previous variants, possibly because many elderly individuals in Tokyo were vaccinated between May and August. There was no significant difference in mortality among the four groups. Our results suggest that the increased infectivity of Delta variant may be caused by factors other than the higher viral loads. Clarifying these factors is important to control the spread of Delta variant infection.

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ACE: absolute copy number estimation from low-coverage whole-genome sequencing data

Bioinformatics ◽

10.1093/bioinformatics/bty1055 ◽

2018 ◽

Vol 35 (16) ◽

pp. 2847-2849 ◽

Cited By ~ 4

Author(s):

Jos B Poell ◽

Matias Mendeville ◽

Daoud Sie ◽

Arjen Brink ◽

Ruud H Brakenhoff ◽

...

Keyword(s):

Whole Genome Sequencing ◽

Genome Sequencing ◽

Copy Number ◽

Supplementary Information ◽

Whole Genome ◽

Copy Number Estimation ◽

Tumor Purity ◽

Absolute Copy Number ◽

Copy Numbers ◽

Low Coverage

Abstract Summary Chromosomal copy number aberrations can be efficiently detected and quantified using low-coverage whole-genome sequencing, but analysis is hampered by the lack of knowledge on absolute DNA copy numbers and tumor purity. Here, we describe an analytical tool for Absolute Copy number Estimation, ACE, which scales relative copy number signals from chromosomal segments to optimally fit absolute copy numbers, without the need for additional genetic information, such as SNP data. In doing so, ACE derives an estimate of tumor purity as well. ACE facilitates analysis of large numbers of samples, while maintaining the flexibility to customize models and generate output of single samples. Availability and implementation ACE is freely available via www.bioconductor.org and at www.github.com/tgac-vumc/ACE. Supplementary information Supplementary data are available at Bioinformatics online.

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0306 Exploring the feasibility of using copy number variants as genetic markers through large-scale whole genome sequencing experiments

Journal of Animal Science ◽

10.2527/jam2016-0306 ◽

2016 ◽

Vol 94 (suppl_5) ◽

pp. 146-146

Author(s):

D. M. Bickhart ◽

L. Xu ◽

J. L. Hutchison ◽

J. B. Cole ◽

D. J. Null ◽

...

Keyword(s):

Whole Genome Sequencing ◽

Genetic Markers ◽

Genome Sequencing ◽

Copy Number ◽

Large Scale ◽

Copy Number Variants ◽

Whole Genome

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Whole-genome sequencing from the New Zealand Saccharomyces cerevisiae population reveals the genomic impacts of novel microbial range expansion

G3 Genes|Genome|Genetics ◽

10.1093/g3journal/jkaa027 ◽

2020 ◽

Vol 11 (1) ◽

Author(s):

Peter Higgins ◽

Cooper A Grace ◽

Soon A Lee ◽

Matthew R Goddard

Keyword(s):

Saccharomyces Cerevisiae ◽

New Zealand ◽

Whole Genome Sequencing ◽

Genome Sequencing ◽

Range Expansion ◽

Copy Number ◽

Small Scale ◽

Whole Genome ◽

Copy Number Changes ◽

The Impact

Abstract Saccharomyces cerevisiae is extensively utilized for commercial fermentation, and is also an important biological model; however, its ecology has only recently begun to be understood. Through the use of whole-genome sequencing, the species has been characterized into a number of distinct subpopulations, defined by geographical ranges and industrial uses. Here, the whole-genome sequences of 104 New Zealand (NZ) S. cerevisiae strains, including 52 novel genomes, are analyzed alongside 450 published sequences derived from various global locations. The impact of S. cerevisiae novel range expansion into NZ was investigated and these analyses reveal the positioning of NZ strains as a subgroup to the predominantly European/wine clade. A number of genomic differences with the European group correlate with range expansion into NZ, including 18 highly enriched single-nucleotide polymorphism (SNPs) and novel Ty1/2 insertions. While it is not possible to categorically determine if any genetic differences are due to stochastic process or the operations of natural selection, we suggest that the observation of NZ-specific copy number increases of four sugar transporter genes in the HXT family may reasonably represent an adaptation in the NZ S. cerevisiae subpopulation, and this correlates with the observations of copy number changes during adaptation in small-scale experimental evolution studies.

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Cattle connection: molecular epidemiology of BVDV outbreaks via rapid nanopore whole-genome sequencing of clinical samples

BMC Veterinary Research ◽

10.1186/s12917-021-02945-3 ◽

2021 ◽

Vol 17 (1) ◽

Author(s):

Jacqueline King ◽

Anne Pohlmann ◽

Kamila Dziadek ◽

Martin Beer ◽

Kerstin Wernike

Keyword(s):

Whole Genome Sequencing ◽

Genome Sequencing ◽

Economic Losses ◽

Clinical Samples ◽

Bovine Viral Diarrhea ◽

Sequence Information ◽

Whole Genome ◽

Diarrhea Virus ◽

Viral Diarrhea ◽

Viral Loads

Abstract Background As a global ruminant pathogen, bovine viral diarrhea virus (BVDV) is responsible for the disease Bovine Viral Diarrhea with a variety of clinical presentations and severe economic losses worldwide. Classified within the Pestivirus genus, the species Pestivirus A and B (syn. BVDV-1, BVDV-2) are genetically differentiated into 21 BVDV-1 and four BVDV-2 subtypes. Commonly, the 5’ untranslated region and the Npro protein are utilized for subtyping. However, the genetic variability of BVDV leads to limitations in former studies analyzing genome fragments in comparison to a full-genome evaluation. Results To enable rapid and accessible whole-genome sequencing of both BVDV-1 and BVDV-2 strains, nanopore sequencing of twelve representative BVDV samples was performed on amplicons derived through a tiling PCR procedure. Covering a multitude of subtypes (1b, 1d, 1f, 2a, 2c), sample matrices (plasma, EDTA blood and ear notch), viral loads (Cq-values 19–32) and species (cattle and sheep), ten of the twelve samples produced whole genomes, with two low titre samples presenting 96 % genome coverage. Conclusions Further phylogenetic analysis of the novel sequences emphasizes the necessity of whole-genome sequencing to identify novel strains and supplement lacking sequence information in public repositories. The proposed amplicon-based sequencing protocol allows rapid, inexpensive and accessible obtainment of complete BVDV genomes.

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Multiplex PCR-Based Nanopore Sequencing and Epidemiological Surveillance of Hantaan orthohantavirus in Apodemus agrarius, Republic of Korea

Viruses ◽

10.3390/v13050847 ◽

2021 ◽

Vol 13 (5) ◽

pp. 847

Author(s):

Kyungmin Park ◽

Seung-Ho Lee ◽

Jongwoo Kim ◽

Jingyeong Lee ◽

Geum-Young Lee ◽

...

Keyword(s):

Whole Genome Sequencing ◽

Genome Sequencing ◽

Republic Of Korea ◽

Hantaan Virus ◽

Genomic Sequences ◽

Whole Genome ◽

Nanopore Sequencing ◽

Apodemus Agrarius ◽

Copy Numbers ◽

Nanopore Sequencer

Whole-genome sequencing of infectious agents enables the identification and characterization of emerging viruses. The MinION device is a portable sequencer that allows real-time sequencing in fields or hospitals. Hantaan orthohantavirus (Hantaan virus, HTNV), harbored by Apodemus agrarius, causes hemorrhagic fever with renal syndrome (HFRS) and poses a critical public health threat worldwide. In this study, we aimed to evaluate the feasibility of using nanopore sequencing for whole-genome sequencing of HTNV from samples having different viral copy numbers. Amplicon-based next-generation sequencing was performed in A. agrarius lung tissues collected from the Republic of Korea. Genomic sequences of HTNV were analyzed based on the viral RNA copy numbers. Amplicon-based nanopore sequencing provided nearly full-length genomic sequences of HTNV and showed sufficient read depth for phylogenetic analysis after 8 h of sequencing. The average identity of the HTNV genome sequences for the nanopore sequencer compared to those of generated from Illumina MiSeq revealed 99.8% (L and M segments) and 99.7% (S segment) identities, respectively. This study highlights the potential of the portable nanopore sequencer for rapid generation of accurate genomic sequences of HTNV for quicker decision making in point-of-care testing of HFRS patients during a hantavirus outbreak.

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Rare instances of non-random dropout with the monochrome multiplex qPCR assay for mitochondrial DNA copy number

10.1101/2021.10.11.463983 ◽

2021 ◽

Author(s):

Stephanie Y Yang ◽

Charles E Newcomb ◽

Stephanie L Battle ◽

Anthony YY Hsieh ◽

Hailey L Chapman ◽

...

Keyword(s):

Mitochondrial Dna ◽

Whole Genome Sequencing ◽

Genome Sequencing ◽

Copy Number ◽

Whole Genome Sequencing Data ◽

Whole Genome ◽

Dna Copy Number ◽

Loop Primer ◽

Mitochondrial Dna Copy Number ◽

D Loop

Mitochondrial DNA copy number (mtDNA-CN) is a proxy for mitochondrial function and has been of increasing interest to the mitochondrial research community. There are several ways to measure mtDNA-CN, ranging from whole genome sequencing to qPCR. A recent article from the Journal of Molecular Diagnostics described a novel method for measuring mtDNA-CN that is both inexpensive and reproducible. However, we show that certain individuals, particularly those with very low qPCR mtDNA measurements, show poor concordance between qPCR and whole genome sequencing measurements. After examining whole genome sequencing data, this seems to be due to polymorphisms within the D-loop primer region. Non-concordant mtDNA-CN was observed in all instances of polymorphisms at certain positions in the D-loop primer regions, however, not all positions are susceptible to this effect. In particular, these polymorphisms appear disproportionately in individuals with the L, T, and U mitochondrial haplogroups, indicating non-random dropout.

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Detection and characterization of copy number variants based on whole-genome sequencing by DNBSEQ platforms

10.1101/786962 ◽

2019 ◽

Author(s):

Junhua Rao ◽

Lihua Peng ◽

Fang Chen ◽

Hui Jiang ◽

Chunyu Geng ◽

...

Keyword(s):

Whole Genome Sequencing ◽

Genome Sequencing ◽

Copy Number ◽

Copy Number Variants ◽

Copy Number Variant ◽

Whole Genome ◽

Genome Wide ◽

Wide Range ◽

Distribution Sensitivity ◽

Cnv Detection

AbstractBackgroundNext-generation sequence (NGS) has rapidly developed in past years which makes whole-genome sequencing (WGS) becoming a more cost- and time-efficient choice in wide range of biological researches. We usually focus on some variant detection via WGS data, such as detection of single nucleotide polymorphism (SNP), insertion and deletion (Indel) and copy number variant (CNV), which playing an important role in many human diseases. However, the feasibility of CNV detection based on WGS by DNBSEQ™ platforms was unclear. We systematically analysed the genome-wide CNV detection power of DNBSEQ™ platforms and Illumina platforms on NA12878 with five commonly used tools, respectively.ResultsDNBSEQ™ platforms showed stable ability to detect slighter more CNVs on genome-wide (average 1.24-fold than Illumina platforms). Then, CNVs based on DNBSEQ™ platforms and Illumina platforms were evaluated with two public benchmarks of NA12878, respectively. DNBSEQ™ and Illumina platforms showed similar sensitivities and precisions on both two benchmarks. Further, the difference between tools for CNV detection was analyzed, and indicated the selection of tool for CNV detection could affected the CNV performance, such as count, distribution, sensitivity and precision.ConclusionThe major contribution of this paper is providing a comprehensive guide for CNV detection based on WGS by DNBSEQ™ platforms for the first time.

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MBRS-59. SINGLE-CELL WHOLE-GENOME SEQUENCING DISSECTS INTRA-TUMOURAL GENOMIC HETEROGENEITY AND CLONAL EVOLUTION IN CHILDHOOD MEDULLOBLASTOMA

Neuro-Oncology ◽

10.1093/neuonc/noaa222.563 ◽

2020 ◽

Vol 22 (Supplement_3) ◽

pp. iii408-iii408

Author(s):

Marina Danilenko ◽

Masood Zaka ◽

Claire Keeling ◽

Stephen Crosier ◽

Rafiqul Hussain ◽

...

Keyword(s):

Whole Genome Sequencing ◽

Single Cell ◽

Genome Sequencing ◽

Copy Number ◽

Single Cell Analysis ◽

Mutational Analysis ◽

Single Cells ◽

Clonal Evolution ◽

Whole Genome ◽

Clinically Significant

Abstract Medulloblastomas harbor clinically-significant intra-tumoral heterogeneity for key biomarkers (e.g. MYC/MYCN, β-catenin). Recent studies have characterized transcriptional heterogeneity at the single-cell level, however the underlying genomic copy number and mutational architecture remains to be resolved. We therefore sought to establish the intra-tumoural genomic heterogeneity of medulloblastoma at single-cell resolution. Copy number patterns were dissected by whole-genome sequencing in 1024 single cells isolated from multiple distinct tumour regions within 16 snap-frozen medulloblastomas, representing the major molecular subgroups (WNT, SHH, Group3, Group4) and genotypes (i.e. MYC amplification, TP53 mutation). Common copy number driver and subclonal events were identified, providing clear evidence of copy number evolution in medulloblastoma development. Moreover, subclonal whole-arm and focal copy number alterations covering important genomic loci (e.g. on chr10 of SHH patients) were detected in single tumour cells, yet undetectable at the bulk-tumor level. Spatial copy number heterogeneity was also common, with differences between clonal and subclonal events detected in distinct regions of individual tumours. Mutational analysis of the cells allowed dissection of spatial and clonal heterogeneity patterns for key medulloblastoma mutations (e.g. CTNNB1, TP53, SMARCA4, PTCH1) within our cohort. Integrated copy number and mutational analysis is underway to establish their inter-relationships and relative contributions to clonal evolution during tumourigenesis. In summary, single-cell analysis has enabled the resolution of common mutational and copy number drivers, alongside sub-clonal events and distinct patterns of clonal and spatial evolution, in medulloblastoma development. We anticipate these findings will provide a critical foundation for future improved biomarker selection, and the development of targeted therapies.

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