scholarly journals Comparison of different technologies for the decipherment of the whole genome sequence of Campylobacter jejuni BfR-CA-14430

Gut Pathogens ◽  
2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Lennard Epping ◽  
Julia C. Golz ◽  
Marie-Theres Knüver ◽  
Charlotte Huber ◽  
Andrea Thürmer ◽  
...  
Keyword(s):  
Campylobacter Jejuni ◽  
Genome Sequence ◽  
Bacterial Species ◽  
Illumina Miseq ◽  
Chicken Meat ◽  
Whole Genome ◽  
Short Read ◽  
Plasmid Sequence ◽  
Depth Analysis ◽  
Long Read

Abstract Background Campylobacter jejuni is a zoonotic pathogen that infects the human gut through the food chain mainly by consumption of undercooked chicken meat, raw chicken cross-contaminated ready-to-eat food or by raw milk. In the last decades, C. jejuni has increasingly become the most common bacterial cause for food-born infections in high income countries, costing public health systems billions of euros each year. Currently, different whole genome sequencing techniques such as short-read bridge amplification and long-read single molecule real-time sequencing techniques are applied for in-depth analysis of bacterial species, in particular, Illumina MiSeq, PacBio and MinION. Results In this study, we analyzed a recently isolated C. jejuni strain from chicken meat by short- and long-read data from Illumina, PacBio and MinION sequencing technologies. For comparability, this strain is used in the German PAC-CAMPY research consortium in several studies, including phenotypic analysis of biofilm formation, natural transformation and in vivo colonization models. The complete assembled genome sequence most likely consists of a chromosome of 1,645,980 bp covering 1665 coding sequences as well as a plasmid sequence with 41,772 bp that encodes for 46 genes. Multilocus sequence typing revealed that the strain belongs to the clonal complex CC-21 (ST-44) which is known to be involved in C. jejuni human infections, including outbreaks. Furthermore, we discovered resistance determinants and a point mutation in the DNA gyrase (gyrA) that render the bacterium resistant against ampicillin, tetracycline and (fluoro-)quinolones. Conclusion The comparison of Illumina MiSeq, PacBio and MinION sequencing and analyses with different assembly tools enabled us to reconstruct a complete chromosome as well as a circular plasmid sequence of the C. jejuni strain BfR-CA-14430. Illumina short-read sequencing in combination with either PacBio or MinION can substantially improve the quality of the complete chromosome and epichromosomal elements on the level of mismatches and insertions/deletions, depending on the assembly program used.

scholarly journals Comprehensive identification of transposable element insertions using multiple sequencing technologies

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Chong Chu ◽  
Rebeca Borges-Monroy ◽  
Vinayak V. Viswanadham ◽  
Soohyun Lee ◽  
Heng Li ◽  
...  
Keyword(s):  
Transposable Element ◽  
Structure And Function ◽  
Endogenous Retroviruses ◽  
Whole Genome Sequencing Data ◽  
Whole Genome ◽  
Sequencing Data ◽  
Short Read ◽  
Sequencing Technologies ◽  
Long Read ◽  
And Function

AbstractTransposable elements (TEs) help shape the structure and function of the human genome. When inserted into some locations, TEs may disrupt gene regulation and cause diseases. Here, we present xTea (x-Transposable element analyzer), a tool for identifying TE insertions in whole-genome sequencing data. Whereas existing methods are mostly designed for short-read data, xTea can be applied to both short-read and long-read data. Our analysis shows that xTea outperforms other short read-based methods for both germline and somatic TE insertion discovery. With long-read data, we created a catalogue of polymorphic insertions with full assembly and annotation of insertional sequences for various types of retroelements, including pseudogenes and endogenous retroviruses. Notably, we find that individual genomes have an average of nine groups of full-length L1s in centromeres, suggesting that centromeres and other highly repetitive regions such as telomeres are a significant yet unexplored source of active L1s. xTea is available at https://github.com/parklab/xTea.

scholarly journals Towards a better understanding of the low recall of insertion variants with short-read based variant callers

2020 ◽  
Author(s):  
Wesley Delage ◽  
Julien Thevenon ◽  
Claire Lemaitre
Keyword(s):  
Gold Standard ◽  
Insertion Site ◽  
Structural Variants ◽  
Genomic Context ◽  
Breakpoint Junction ◽  
Short Read ◽  
Depth Analysis ◽  
Long Read ◽  
The Impact

AbstractSince 2009, numerous tools have been developed to detect structural variants (SVs) using short read technologies. Insertions >50 bp are one of the hardest type to discover and are drastically underrepresented in gold standard variant callsets. The advent of long read technologies has completely changed the situation. In 2019, two independent cross technologies studies have published the most complete variant callsets with sequence resolved insertions in human individuals. Among the reported insertions, only 17 to 37% could be discovered with short-read based tools. In this work, we performed an in-depth analysis of these unprecedented insertion callsets in order to investigate the causes of such failures. We have first established a precise classification of insertion variants according to four layers of characterization: the nature and size of the inserted sequence, the genomic context of the insertion site and the breakpoint junction complexity. Because these levels are intertwined, we then used simulations to characterize the impact of each complexity factor on the recall of several SV callers. Simulations showed that the most impacting factor was the insertion type rather than the genomic context, with various difficulties being handled differently among the tested SV callers, and they highlighted the lack of sequence resolution for most insertion calls. Our results explain the low recall by pointing out several difficulty factors among the observed insertion features and provide avenues for improving SV caller algorithms and their [email protected]

scholarly journals Full Genome Sequence of a Methanomassiliicoccales Representative Enriched from Peat Soil

2021 ◽  
Vol 10 (48) ◽  
Author(s):  
Micha Weil ◽  
Katharina J. Hoff ◽  
Walter Meißner ◽  
Fabian Schäfer ◽  
Andrea Söllinger ◽  
...  
Keyword(s):  
Genome Sequence ◽  
Electron Acceptor ◽  
Peat Soil ◽  
Full Genome Sequence ◽  
Full Genome ◽  
Short Read ◽  
Enrichment Cultures ◽  
Circular Genome ◽  
Long Read ◽  
Metagenomic Assembly

The full genome of a Methanomassiliicoccales strain, U3.2.1, was obtained from enrichment cultures of percolation fen peat soil under methanogenic conditions, with methanol and hydrogen as the electron acceptor and donor, respectively. Metagenomic assembly of combined long-read and short-read sequences resulted in a 1.51-Mbp circular genome.

scholarly journals Closed Genome Sequence of Salmonella enterica Serovar Richmond Strain CFSAN000191, Obtained with Nanopore Sequencing

2018 ◽  
Vol 7 (23) ◽  
Author(s):  
Narjol González-Escalona ◽  
Kuan Yao ◽  
Maria Hoffmann
Keyword(s):  
Genome Sequence ◽  
Salmonella Enterica ◽  
Nanopore Sequencing ◽  
Short Read ◽  
Content Type ◽  
Short Read Sequencing ◽  
Long Read

Here we report the genome sequence of Salmonella enterica serovar Richmond strain CFSAN000191, isolated from tilapia from Thailand in 2005. The genome was determined by a combination of long-read and short-read sequencing.

scholarly journals Genome Sequence of a Persistent Campylobacter jejuni Strain, 2016-IZSVE-19-111250

2020 ◽  
Vol 9 (41) ◽  
Author(s):  
Arianna Peruzzo ◽  
Barbara Salerno ◽  
Alessia Tiengo ◽  
Sara Petrin ◽  
Lisa Barco ◽  
...  
Keyword(s):  
Campylobacter Jejuni ◽  
Genome Sequence ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Poultry Farm ◽  
Content Type

ABSTRACT In this report, we present the whole-genome sequence of a Campylobacter jejuni strain isolated recursively for the last 3 years from an Italian poultry farm.

scholarly journals Spill-Over from Public Health? First Detection of an OXA-48-Producing Escherichia coli in a German Pig Farm

2020 ◽  
Vol 8 (6) ◽  
pp. 855 ◽  
Author(s):  
Alexandra Irrgang ◽  
Natalie Pauly ◽  
Bernd-Alois Tenhagen ◽  
Mirjam Grobbel ◽  
Annemarie Kaesbohrer ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Bacterial Species ◽  
Multidrug Resistant ◽  
Meat Production ◽  
Whole Genome ◽  
Phenotypic Resistance ◽  
Long Read ◽  
Pig Farm ◽  
Human Infections

Resistance to carbapenems is a severe threat to human health. These last resort antimicrobials are indispensable for the treatment of severe human infections with multidrug-resistant Gram-negative bacteria. In accordance with their increasing medical impact, carbapenemase-producing Enterobacteriaceae (CPE) might be disseminated from colonized humans to non-human reservoirs (i.e., environment, animals, food). In Germany, the occurrence of CPE in livestock and food has been systematically monitored since 2016. In the 2019 monitoring, an OXA-48-producing E. coli (19-AB01443) was recovered from a fecal sample of a fattening pig. Phenotypic resistance was confirmed by broth microdilution and further characterized by PFGE, conjugation, and combined short-/long-read whole genome sequencing. This is the first detection of this resistance determinant in samples from German meat production. Molecular characterization and whole-genome sequencing revealed that the blaOXA-48 gene was located on a common pOXA-48 plasmid-prototype. This plasmid-type seems to be globally distributed among various bacterial species, but it was frequently associated with clinical Klebsiella spp. isolates. Currently, the route of introduction of this plasmid/isolate combination into the German pig production is unknown. We speculate that due to its strong correlation with human isolates a transmission from humans to livestock has occurred.

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

2019 ◽  
Vol 8 (34) ◽  
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.

scholarly journals Antimicrobial resistance genetic factor identification from whole-genome sequence data using deep feature selection

2019 ◽  
Vol 20 (S15) ◽  
Author(s):  
Jinhong Shi ◽  
Yan Yan ◽  
Matthew G. Links ◽  
Longhai Li ◽  
Jo-Anne R. Dillon ◽  
...  
Keyword(s):  
Feature Selection ◽  
Antimicrobial Resistance ◽  
Genome Sequence ◽  
Sequence Data ◽  
Bacterial Species ◽  
Clinical Diagnostics ◽  
New Drugs ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Genome Sequence Data

Abstract Background Antimicrobial resistance (AMR) is a major threat to global public health because it makes standard treatments ineffective and contributes to the spread of infections. It is important to understand AMR’s biological mechanisms for the development of new drugs and more rapid and accurate clinical diagnostics. The increasing availability of whole-genome SNP (single nucleotide polymorphism) information, obtained from whole-genome sequence data, along with AMR profiles provides an opportunity to use feature selection in machine learning to find AMR-associated mutations. This work describes the use of a supervised feature selection approach using deep neural networks to detect AMR-associated genetic factors from whole-genome SNP data. Results The proposed method, DNP-AAP (deep neural pursuit – average activation potential), was tested on a Neisseria gonorrhoeae dataset with paired whole-genome sequence data and resistance profiles to five commonly used antibiotics including penicillin, tetracycline, azithromycin, ciprofloxacin, and cefixime. The results show that DNP-AAP can effectively identify known AMR-associated genes in N. gonorrhoeae, and also provide a list of candidate genomic features (SNPs) that might lead to the discovery of novel AMR determinants. Logistic regression classifiers were built with the identified SNPs and the prediction AUCs (area under the curve) for penicillin, tetracycline, azithromycin, ciprofloxacin, and cefixime were 0.974, 0.969, 0.949, 0.994, and 0.976, respectively. Conclusions DNP-AAP can effectively identify known AMR-associated genes in N. gonorrhoeae. It also provides a list of candidate genes and intergenic regions that might lead to novel AMR factor discovery. More generally, DNP-AAP can be applied to AMR analysis of any bacterial species with genomic variants and phenotype data. It can serve as a useful screening tool for microbiologists to generate genetic candidates for further lab experiments.

scholarly journals Whole-Genome Sequencing of a Campylobacter jejuni Strain Isolated from Retail Chicken Meat Reveals the Presence of a Megaplasmid with Mu-Like Prophage and Multidrug Resistance Genes

2016 ◽  
Vol 4 (3) ◽  
Author(s):  
Daya Marasini ◽  
Mohamed K. Fakhr
Keyword(s):  
Multidrug Resistance ◽  
Whole Genome Sequencing ◽  
Campylobacter Jejuni ◽  
Genome Sequencing ◽  
Resistance Genes ◽  
Chicken Meat ◽  
Whole Genome ◽  
Retail Chicken Meat ◽  
Multidrug Resistance Genes

Genome sequencing of Campylobacter jejuni strain T1-21 isolated from retail chicken meat revealed the presence of a chromosome of 1,565,978 bp and a megaplasmid of 82,732 bp that contains Mu-like prophage and multidrug resistance genes. This is the first reported sequence of a Campylobacter megaplasmid >55 kb.

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

2017 ◽  
Vol 5 (42) ◽  
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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