Yersinia canariae sp. nov., isolated from a human yersiniosis case

ABSTRACTA Gram-negative rod from the Yersinia genus was isolated from a clinical case of yersiniosis in the United Kingdom. Long read sequencing data from an Oxford Nanopore Technology (ONT) MinION in conjunction with Illumina HiSeq reads were used to generate a finished quality genome of this strain. Overall Genome Related Index (OGRI) of the strain was used to determine that it was a novel species within Yersinia, despite biochemical similarities to Yersinia enterocolitica. The 16S ribosomal RNA gene accessions are MN434982-MN434987 and the accession number for the complete and closed chromosome is CP043727. The type strain is CFS3336T (=NCTC 14382T/ =LMG Accession under process).

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Yersinia canariae sp. nov., isolated from a human yersiniosis case

INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY ◽

10.1099/ijsem.0.004047 ◽

2020 ◽

Vol 70 (4) ◽

pp. 2382-2387 ◽

Cited By ~ 7

Author(s):

Scott V. Nguyen ◽

David R. Greig ◽

Daniel Hurley ◽

Orla Donoghue ◽

Yu Cao ◽

...

Keyword(s):

Ribosomal Rna ◽

Novel Species ◽

Sequencing Data ◽

Illumina Hiseq ◽

Content Type ◽

Link Type ◽

The United Kingdom ◽

Oxford Nanopore ◽

Long Read ◽

Oxford Nanopore Technologies

A Gram-negative rod from the Yersinia genus was isolated from a clinical case of yersiniosis in the United Kingdom. Long read sequencing data from an Oxford Nanopore Technologies (ONT) MinION in conjunction with Illumina HiSeq reads were used to generate a finished quality genome of this strain. Overall Genome Related Index (OGRI) of the strain was used to determine that it was a novel species within Yersinia , despite biochemical similarities to Yersinia enterocolitica . The 16S ribosomal RNA gene accessions are MN434982-MN434987 and the accession number for the complete and closed chromosome is CP043727. The type strain is SRR7544370T (=NCTC 14382T/=LMG 31573T).

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NanoPack: visualizing and processing long read sequencing data

10.1101/237180 ◽

2017 ◽

Cited By ~ 2

Author(s):

Wouter De Coster ◽

Svenn D’Hert ◽

Darrin T. Schultz ◽

Marc Cruts ◽

Christine Van Broeckhoven

Keyword(s):

Web Service ◽

Graphical User Interface ◽

Source Code ◽

Supplementary Information ◽

Command Line ◽

Sequencing Data ◽

Link Type ◽

Oxford Nanopore ◽

Long Read ◽

Oxford Nanopore Technologies

AbstractSummary: Here we describe NanoPack, a set of tools developed for visualization and processing of long read sequencing data from Oxford Nanopore Technologies and Pacific Biosciences.Availability and Implementation: The NanoPack tools are written in Python3 and released under the GNU GPL3.0 Licence. The source code can be found at https://github.com/wdecoster/nanopack, together with links to separate scripts and their documentation. The scripts are compatible with Linux, Mac OS and the MS Windows 10 subsystem for linux and are available as a graphical user interface, a web service at http://nanoplot.bioinf.be and command line tools.Contact:[email protected] information: Supplementary tables and figures are available at Bioinformatics online.

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Chromosome-scale assembly of the Sparassis latifolia genome obtained using long-read and Hi-C sequencing

10.1101/2021.01.08.426014 ◽

2021 ◽

Author(s):

Chi yang ◽

Lu Ma ◽

Donglai Xiao ◽

Xiaoyu Liu ◽

Xiaoling Jiang ◽

...

Keyword(s):

Repetitive Sequences ◽

Draft Genome ◽

Edible Mushroom ◽

Illumina Hiseq ◽

Protein Coding ◽

Long Reads ◽

Oxford Nanopore ◽

Genome Features ◽

Long Read ◽

Genomic Studies

Sparassis latifolia is a valuable edible mushroom cultivated in China. In 2018, our research group reported an incomplete and low quality genome of S. latifolia was obtained by Illumina HiSeq 2500 sequencing. These limitations in the available genome have constrained genetic and genomic studies in this mushroom resource. Herein, an updated draft genome sequence of S. latifolia was generated by Oxford Nanopore sequencing and the Hi-C technique. A total of 8.24 Gb of Oxford Nanopore long reads representing ~198.08X coverage of the S. latifolia genome were generated. Subsequently, a high-quality genome of 41.41 Mb, with scaffold and contig N50 sizes of 3.31 Mb and 1.51 Mb, respectively, was assembled. Hi-C scaffolding of the genome resulted in 12 pseudochromosomes containing 93.56% of the bases in the assembled genome. Genome annotation further revealed that 17.47% of the genome was composed of repetitive sequences. In addition, 13,103 protein-coding genes were predicted, among which 98.72% were functionally annotated. BUSCO assay results further revealed that there were 92.07% complete BUSCOs. The improved chromosome-scale assembly and genome features described here will aid further molecular elucidation of various traits, breeding of S. latifolia, and evolutionary studies with related taxa.

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TagSeqTools: a flexible and comprehensive analysis pipeline for NAD tagSeq data

10.1101/2020.03.09.982934 ◽

2020 ◽

Cited By ~ 1

Author(s):

Huan Zhong ◽

Zongwei Cai ◽

Zhu Yang ◽

Yiji Xia

Keyword(s):

Rna Sequencing ◽

Comprehensive Analysis ◽

Enzymatic Reactions ◽

Computational Tool ◽

Sequencing Data ◽

Analysis Pipeline ◽

Oxford Nanopore ◽

Long Read ◽

Identification And Characterization

AbstractNAD tagSeq has recently been developed for the identification and characterization of NAD+-capped RNAs (NAD-RNAs). This method adopts a strategy of chemo-enzymatic reactions to label the NAD-RNAs with a synthetic RNA tag before subjecting to the Oxford Nanopore direct RNA sequencing. A computational tool designed for analyzing the sequencing data of tagged RNA will facilitate the broader application of this method. Hence, we introduce TagSeqTools as a flexible, general pipeline for the identification and quantification of tagged RNAs (i.e., NAD+-capped RNAs) using long-read transcriptome sequencing data generated by NAD tagSeq method. TagSeqTools comprises two major modules, TagSeek for differentiating tagged and untagged reads, and TagSeqQuant for the quantitative and further characterization analysis of genes and isoforms. Besides, the pipeline also integrates some advanced functions to identify antisense or splicing, and supports the data reformation for visualization. Therefore, TagSeqTools provides a convenient and comprehensive workflow for researchers to analyze the data produced by the NAD tagSeq method or other tagging-based experiments using Oxford nanopore direct RNA sequencing. The pipeline is available at https://github.com/dorothyzh/TagSeqTools, under Apache License 2.0.

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1202. Multimodal Sequencing of a Clonal Case Cluster of Carbapenem-Resistant Citrobacter Reveals Unexpectedly Rapid Dynamics of KPC3-Containing Plasmids

Open Forum Infectious Diseases ◽

10.1093/ofid/ofy210.1035 ◽

2018 ◽

Vol 5 (suppl_1) ◽

pp. S364-S364

Author(s):

Roby Bhattacharyya ◽

Alejandro Pironti ◽

Bruce J Walker ◽

Abigail Manson ◽

Virginia Pierce ◽

...

Keyword(s):

Point Mutations ◽

Illumina Miseq ◽

Nucleotide Polymorphisms ◽

Sequencing Data ◽

Single Nucleotide ◽

Carbapenem Resistant ◽

Oxford Nanopore ◽

Close Relationship ◽

Long Read ◽

Carbapenem Resistant Enterobacteriaceae

Abstract Background Carbapenem-resistant Enterobacteriaceae (CRE) are a major public health threat. We report four clonally related Citrobacter freundii isolates harboring the blaKPC-3 carbapenemase in April–May 2017 that are nearly identical to a strain from 2014 at the same institution. Despite differing by ≤5 single nucleotide polymorphisms (SNPs), these isolates exhibited dramatic differences in carbapenemase plasmid architecture. Methods We sequenced four carbapenem-resistant C. freundii isolates from 2017 and compared them with an ongoing CRE surveillance project at our institution. SNPs were identified from Illumina MiSeq data aligned to a reference genome using the variant caller Pilon. Plasmids were assembled from Illumina and Oxford Nanopore sequencing data using Unicycler. Results The four 2017 isolates differed from one another by 0–5 chromosomal SNPs; two were identical. With one exception, these isolates differed by >38,000 SNPs from 25 C. freundii isolates sequenced from 2013 to 2017 at the same institution for CRE surveillance. The exception was a 2014 isolate that differed by 13–16 SNPs from each 2017 isolate, with 13 SNPs common to all four. Each C. freundii isolate harbored wild-type blaKPC-3. Despite the close relationship among the 2017 cluster, the plasmids harboring the blaKPC-3 genes differed dramatically: the carbapenemase occurred in one of the two different plasmids, with rearrangements between these plasmids across isolates. The related 2014 isolate harbored both plasmids, each with a separate copy of blaKPC-3. No transmission chains were found between any of the affected patients. Conclusion WGS confirmed clonality among four contemporaneous blaKPC-3-containing C. freundii isolates, and marked similarity with a 2014 isolate, within an institution. That only 13–16 SNPs varied between the 2014 and 2017 isolates suggests durable persistence of the blaKPC-3 gene within this lineage in a hospital ecosystem. The plasmids harboring these carbapenemase genes proved remarkably plastic, with plasmid loss and rearrangements occurring on the same time scale as two to three chromosomal point mutations. Combining short and long-read sequencing in a case cluster uniquely revealed unexpectedly rapid dynamics of carbapenemase plasmids, providing critical insight into their manner of spread. Disclosures M. J. Ferraro, SeLux Diagnostics: Scientific Advisor and Shareholder, Consulting fee. D. C. Hooper, SeLux Diagnostics: Scientific Advisor, Consulting fee.

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Complete Genome Sequence of Rubrobacter xylanophilus Strain AA3-22, Isolated from Arima Onsen in Japan

Microbiology Resource Announcements ◽

10.1128/mra.00818-19 ◽

2019 ◽

Vol 8 (34) ◽

Cited By ~ 1

Author(s):

Natsuki Tomariguchi ◽

Kentaro Miyazaki

Keyword(s):

Genome Sequence ◽

Complete Genome Sequence ◽

Complete Genome ◽

Hot Spring ◽

Sequencing Data ◽

Short Read ◽

Content Type ◽

Short Read Sequencing ◽

Oxford Nanopore ◽

Long Read

Rubrobacter xylanophilus strain AA3-22, belonging to the phylum Actinobacteria, was isolated from nonvolcanic Arima Onsen (hot spring) in Japan. Here, we report the complete genome sequence of this organism, which was obtained by combining Oxford Nanopore long-read and Illumina short-read sequencing data.

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Whole-Genome Sequencing of a Human Clinical Isolate of the Novel Species Klebsiella quasivariicola sp. nov

Genome Announcements ◽

10.1128/genomea.01057-17 ◽

2017 ◽

Vol 5 (42) ◽

Cited By ~ 15

Author(s):

S. Wesley Long ◽

Sarah E. Linson ◽

Matthew Ojeda Saavedra ◽

Concepcion Cantu ◽

James J. Davis ◽

...

Keyword(s):

Whole Genome Sequencing ◽

Clinical Isolate ◽

Genome Sequencing ◽

Novel Species ◽

Whole Genome ◽

The Novel ◽

Short Read ◽

Oxford Nanopore ◽

Long Read

ABSTRACT In a study of 1,777 Klebsiella strains, we discovered KPN1705, which was distinct from all recognized Klebsiella spp. We closed the genome of strain KPN1705 using a hybrid of Illumina short-read and Oxford Nanopore long-read technologies. For this novel species, we propose the name Klebsiella quasivariicola sp. nov.

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Evaluation of Germline Structural Variant Calling Methods for Nanopore Sequencing Data

Frontiers in Genetics ◽

10.3389/fgene.2021.761791 ◽

2021 ◽

Vol 12 ◽

Author(s):

Davide Bolognini ◽

Alberto Magi

Keyword(s):

Variant Calling ◽

Research Report ◽

Nanopore Sequencing ◽

Sequencing Data ◽

Factors Affecting ◽

Sequencing Technologies ◽

Long Reads ◽

Oxford Nanopore ◽

Sequencing Studies ◽

Long Read

Structural variants (SVs) are genomic rearrangements that involve at least 50 nucleotides and are known to have a serious impact on human health. While prior short-read sequencing technologies have often proved inadequate for a comprehensive assessment of structural variation, more recent long reads from Oxford Nanopore Technologies have already been proven invaluable for the discovery of large SVs and hold the potential to facilitate the resolution of the full SV spectrum. With many long-read sequencing studies to follow, it is crucial to assess factors affecting current SV calling pipelines for nanopore sequencing data. In this brief research report, we evaluate and compare the performances of five long-read SV callers across four long-read aligners using both real and synthetic nanopore datasets. In particular, we focus on the effects of read alignment, sequencing coverage, and variant allele depth on the detection and genotyping of SVs of different types and size ranges and provide insights into precision and recall of SV callsets generated by integrating the various long-read aligners and SV callers. The computational pipeline we propose is publicly available at https://github.com/davidebolo1993/EViNCe and can be adjusted to further evaluate future nanopore sequencing datasets.

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A Computational Toolset for Rapid Identification of SARS-CoV-2, other Viruses, and Microorganisms from Sequencing Data

10.1101/2020.05.12.092163 ◽

2020 ◽

Cited By ~ 2

Author(s):

Shifu Chen ◽

Changshou He ◽

Yingqiang Li ◽

Zhicheng Li ◽

Charles E Melançon

Keyword(s):

Rapid Identification ◽

Experimental Results ◽

Large Set ◽

Sequencing Data ◽

Short Read ◽

Microbial Genomes ◽

Extension Method ◽

Link Type ◽

Long Read ◽

Adapter Trimming

ABSTRACTIn this paper, we present a toolset and related resources for rapid identification of viruses and microorganisms from short-read or long-read sequencing data. We present fastv as an ultra-fast tool to detect microbial sequences present in sequencing data, identify target microorganisms, and visualize coverage of microbial genomes. This tool is based on the k-mer mapping and extension method. K-mer sets are generated by UniqueKMER, another tool provided in this toolset. UniqueKMER can generate complete sets of unique k-mers for each genome within a large set of viral or microbial genomes. For convenience, unique k-mers for microorganisms and common viruses that afflict humans have been generated and are provided with the tools. As a lightweight tool, fastv accepts FASTQ data as input, and directly outputs the results in both HTML and JSON formats. Prior to the k-mer analysis, fastv automatically performs adapter trimming, quality pruning, base correction, and other pre-processing to ensure the accuracy of k-mer analysis. Specifically, fastv provides built-in support for rapid SARS-CoV-2 identification and typing. Experimental results showed that fastv achieved 100% sensitivity and 100% specificity for detecting SARS-CoV-2 from sequencing data; and can distinguish SARS-CoV-2 from SARS, MERS, and other coronaviruses. This toolset is available at: https://github.com/OpenGene/fastv.

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Draft genome assemblies using sequencing reads from Oxford Nanopore Technology and Illumina platforms for four species of North American Fundulus killifish

GigaScience ◽

10.1093/gigascience/giaa067 ◽

2020 ◽

Vol 9 (6) ◽

Cited By ~ 3

Author(s):

Lisa K Johnson ◽

Ruta Sahasrabudhe ◽

James Anthony Gill ◽

Jennifer L Roach ◽

Lutz Froenicke ◽

...

Keyword(s):

North American ◽

De Novo ◽

Draft Genome ◽

Whole Genome Sequencing Data ◽

Sequencing Data ◽

Sequence Coverage ◽

Short Read ◽

Oxford Nanopore ◽

Long Read ◽

Genome Assemblies

Abstract Background Whole-genome sequencing data from wild-caught individuals of closely related North American killifish species (Fundulus xenicus, Fundulus catenatus, Fundulus nottii, and Fundulus olivaceus) were obtained using long-read Oxford Nanopore Technology (ONT) PromethION and short-read Illumina platforms. Findings Draft de novo reference genome assemblies were generated using a combination of long and short sequencing reads. For each species, the PromethION platform was used to generate 30–45× sequence coverage, and the Illumina platform was used to generate 50–160× sequence coverage. Illumina-only assemblies were fragmented with high numbers of contigs, while ONT-only assemblies were error prone with low BUSCO scores. The highest N50 values, ranging from 0.4 to 2.7 Mb, were from assemblies generated using a combination of short- and long-read data. BUSCO scores were consistently >90% complete using the Eukaryota database. Conclusions High-quality genomes can be obtained from a combination of using short-read Illumina data to polish assemblies generated with long-read ONT data. Draft assemblies and raw sequencing data are available for public use. We encourage use and reuse of these data for assembly benchmarking and other analyses.

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