scholarly journals A Snapshot of the Genetic Diversity of Salmonella Enteritidis Population Involved in Human Infections in Romania Taken in the European Epidemiological Context

Pathogens ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1490
Author(s):  
Codruta-Romanita Usein ◽  
Mihaela Oprea ◽  
Adriana Simona Ciontea ◽  
Sorin Dinu ◽  
Daniela Cristea ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Salmonella Enteritidis ◽  
Tandem Repeats ◽  
High Throughput Sequencing ◽  
Minimum Spanning Tree ◽  
Public Health Practice ◽  
National Level ◽  
Variable Number ◽  
Integrative Approach ◽  
Sequencing Data

In the absence of consistent national molecular typing data to enhance the surveillance of Salmonella Enteritidis, it was considered useful to collect baseline information on the genetic diversity and antibiotic susceptibility of strains isolated in Romania between January 2016 and April 2020 and compare them to strains described in major international outbreaks of the same period. A collection of 245 clinical isolates were genotyped by a standardised multiple-locus variable-number of tandem repeats analysis (MLVA) 5-loci protocol and screened for antimicrobial resistance against 15 compounds. Twenty strains were further subjected to whole genome sequencing (WGS) and compared to epidemiologically relevant high-throughput sequencing data available in European databases. Twenty-seven MLVA genotypes were identified, of which three, commonly reported in Europe between 2016–2020, covered 72% of the collection. Antibiotic resistance was detected in 30% of the strains, with resistance to nalidixic acid and ciprofloxacin as the most common phenotype, and also associated with two prevalent MLVA clones. WGS-derived multilocus sequence typing (MLST) revealed a single sequence type (ST11) further resolved into 10 core-genome MLST complex types. The minimum spanning tree constructed from the cgMLST data clustered Romanian and international strains, which shared more than 95% of the core genes, revealing links with a contemporaneous multi-country outbreak. This study could be regarded as a forerunner to the advent of using this integrative approach in the public health practice at a national level and thus contribute to the concerted actions at a European level to stop outbreaks.

scholarly journals Multi-country outbreak of Salmonella enteritidis infection linked to the international ice hockey tournament

2017 ◽  
Vol 145 (11) ◽  
pp. 2221-2230 ◽  
Author(s):  
T. PÄRN ◽  
V. DAHL ◽  
T. LIENEMANN ◽  
J. PEREVOSČIKOVS ◽  
B. DE JONG
Keyword(s):  
Information Exchange ◽  
Salmonella Enteritidis ◽  
Tandem Repeats ◽  
Relevant Information ◽  
Variable Number ◽  
Ice Hockey ◽  
Waterborne Diseases ◽  
Trace Back ◽  
Epidemic Intelligence ◽  
Public Health Authorities

SUMMARYIn April 2015, Finnish public health authorities alerted European Union member states of a possible multi-country Salmonella enteritidis outbreak linked to an international youth ice-hockey tournament in Latvia. The European Centre for Disease Prevention and Control (ECDC), Finnish and Latvian authorities initiated an outbreak investigation to identify the source. The investigation included a description of the outbreak, retrospective cohort study, microbiological investigation and trace-back. We identified 154 suspected and 96 confirmed cases from seven countries. Consuming Bolognese sauce and salad at a specific event arena significantly increased the risk of illness. Isolates from Finnish, Swedish and Norwegian cases had an identical multiple-locus variable-number of tandem repeats analysis-profile (3-10-6-4-1). Breaches in hygiene and food storing practices in the specific arena's kitchen allowing for cross-contamination were identified. Riga Cup participants were recommended to follow good hand hygiene and consume only freshly cooked foods. This investigation demonstrated that the use of ECDC's Epidemic Intelligence Information System for Food- and Waterborne Diseases and Zoonoses platform was essential to progress the investigation by facilitating information exchange between countries. Cross-border data sharing to perform whole genome sequencing gave relevant information regarding the source of the outbreak.

scholarly journals Ligation-anchored PCR unveils immune repertoire of TCR-beta from whole blood

2014 ◽  
Author(s):  
Fan Gao ◽  
Kai Wang
Keyword(s):  
High Throughput Sequencing ◽  
Read Length ◽  
Integrative Approach ◽  
Sequencing Data ◽  
Immune Repertoire ◽  
Universal Primer ◽  
Illumina Hiseq ◽  
Variable Regions ◽  
Anchored Pcr ◽  
Pcr Method

Background As one of the genetic mechanisms for adaptive immunity, V(D)J recombination generates an enormous repertoire of T-cell receptors (TCRs). With the development of high-throughput sequencing techniques, systematic exploration of V(D)J recombination becomes possible. Multiplex PCR method has been previously developed to assay immune repertoire, however the usage of primer pools has inherent bias in target amplification. In our study, we developed a ligation-anchored PCR method to unbiasedly amplify the repertoire. Results By utilizing a universal primer paired with a single primer targeting the conserved constant region, we amplified TCR-beta (TRB) variable regions from total RNA extracted from blood. Next-generation sequencing libraries were then prepared for Illumina HiSeq 2500 sequencer, which provided 151 bp read length to cover the entire V(D)J recombination region. We evaluated this approach on blood samples from patients with malignant and benign meningiomas. Mapping of sequencing data showed 64% to 91% of mapped TCRV-containing reads belong to TRB subtype. An increased usage of TRBV29-1 was observed in malignant meningiomas. Also distinct signatures were identified from CDR3 sequence logos, with predominant subset as 42 nt for benign and 45 nt for malignant samples, respectively. Conclusions In summary, we report an integrative approach to monitor immune repertoire in a systematic manner.

scholarly journals Uneven Distribution of Mating Types among Genotypes of Candida glabrata Isolates from Clinical Samples

2009 ◽  
Vol 8 (3) ◽  
pp. 287-295 ◽  
Author(s):  
Sylvain Brisse ◽  
Christine Pannier ◽  
Adela Angoulvant ◽  
Thierry de Meeus ◽  
Laure Diancourt ◽  
...  
Keyword(s):  
Mating Type ◽  
Candida Glabrata ◽  
Tandem Repeats ◽  
Minimum Spanning Tree ◽  
Variable Number ◽  
Clinical Samples ◽  
Population Genetic Analysis ◽  
Pathogenic Yeast ◽  
Diploid Genotype ◽  
Mating Type Switching

ABSTRACT In order to shed light on its basic biology, we initiated a population genetic analysis of Candida glabrata, an emerging pathogenic yeast with no sexual stage yet recognized. A worldwide collection of clinical strains was subjected to analysis using variable number of tandem repeats (VNTR) at nine loci. The clustering of strains obtained with this method was congruent with that obtained using sequence polymorphism of the NMT1 gene, a locus previously proposed for lineage assignment. Linkage disequilibrium supported the hypothesis of a mainly clonal reproduction. No heterozygous diploid genotype was found. Minimum-spanning tree analysis of VNTR data revealed clonal expansions and associated genotypic diversification. Mating type analysis revealed that 80% of the strains examined are MAT a and 20% MATα and that the two alleles are not evenly distributed. The MAT a genotype dominated within large clonal groups that contained only one or a few MATα types. In contrast, two groups were dominated by MATα strains. Our data are consistent with rare independent mating type switching events occurring preferentially from type a to α, although the alternative possibility of selection favoring type a isolates cannot be excluded.

scholarly journals Population-level genome-wide STR typing in Plasmodium species reveals higher resolution population structure and genetic diversity relative to SNP typing

2021 ◽  
Author(s):  
Jiru Han ◽  
Jacob E Munro ◽  
Anthony Kocoski ◽  
Alyssa E Barry ◽  
Melanie Bahlo
Keyword(s):  
Genetic Diversity ◽  
Large Scale ◽  
Tandem Repeats ◽  
Plasmodium Species ◽  
Whole Genome Sequence ◽  
Whole Genome Sequencing Data ◽  
Whole Genome ◽  
Sequencing Data ◽  
Genome Wide ◽  
Field Samples

Short tandem repeats (STRs) are highly informative genetic markers that have been used extensively in population genetics analysis. They are an important source of genetic diversity and can also have functional impact. Despite the availability of bioinformatic methods that permit large-scale genome-wide genotyping of STRs from whole genome sequencing data, they have not previously been applied to sequencing data from large collections of malaria parasite field samples. Here, we have genotyped STRs using HipSTR in more than 3,000 Plasmodium falciparum and 174 Plasmodium vivax published whole-genome sequence data from samples collected across the globe. High levels of noise and variability in the resultant callset necessitated the development of a novel method for quality control of STR genotype calls. A set of high-quality STR loci (6,768 from P. falciparum and 3,496 from P. vivax) were used to study Plasmodium genetic diversity, population structures and genomic signatures of selection and these were compared to genome-wide single nucleotide polymorphism (SNP) genotyping data. In addition, the genome-wide information about genetic variation and other characteristics of STRs in P. falciparum and P. vivax have been made available in an interactive web-based R Shiny application PlasmoSTR (https://github.com/bahlolab/PlasmoSTR).

scholarly journals NGSEP3: accurate variant calling across species and sequencing protocols

2019 ◽  
Vol 35 (22) ◽  
pp. 4716-4723 ◽  
Author(s):  
Daniel Tello ◽  
Juanita Gil ◽  
Cristian D Loaiza ◽  
John J Riascos ◽  
Nicolás Cardozo ◽  
...  
Keyword(s):  
Short Tandem Repeats ◽  
Tandem Repeats ◽  
High Throughput Sequencing ◽  
Variant Calling ◽  
Real Data ◽  
Supplementary Information ◽  
Sequencing Data ◽  
Comparative Accuracy ◽  
Downstream Analysis ◽  
Short Tandem

Abstract Motivation Accurate detection, genotyping and downstream analysis of genomic variants from high-throughput sequencing data are fundamental features in modern production pipelines for genetic-based diagnosis in medicine or genomic selection in plant and animal breeding. Our research group maintains the Next-Generation Sequencing Experience Platform (NGSEP) as a precise, efficient and easy-to-use software solution for these features. Results Understanding that incorrect alignments around short tandem repeats are an important source of genotyping errors, we implemented in NGSEP new algorithms for realignment and haplotype clustering of reads spanning indels and short tandem repeats. We performed extensive benchmark experiments comparing NGSEP to state-of-the-art software using real data from three sequencing protocols and four species with different distributions of repetitive elements. NGSEP consistently shows comparative accuracy and better efficiency compared to the existing solutions. We expect that this work will contribute to the continuous improvement of quality in variant calling needed for modern applications in medicine and agriculture. Availability and implementation NGSEP is available as open source software at http://ngsep.sf.net. Supplementary information Supplementary data are available at Bioinformatics online.

Investigation of Cyprinid herpesvirus-3 genetic diversity by a multi-locus variable number of tandem repeats analysis

2011 ◽  
Vol 173 (2) ◽  
pp. 320-327 ◽  
Author(s):  
Jean-Christophe Avarre ◽  
Jean-Paul Madeira ◽  
Ayi Santika ◽  
Zakki Zainun ◽  
Marine Baud ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Tandem Repeats ◽  
Variable Number ◽  
Cyprinid Herpesvirus 3

scholarly journals Genetic Diversity in Mycobacterium ulcerans Isolates from Ghana Revealed by a Newly Identified Locus Containing a Variable Number of Tandem Repeats

2006 ◽  
Vol 188 (4) ◽  
pp. 1462-1465 ◽  
Author(s):  
Markus Hilty ◽  
Dorothy Yeboah-Manu ◽  
Daniel Boakye ◽  
Ernestina Mensah-Quainoo ◽  
Simona Rondini ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Tandem Repeats ◽  
Polymorphic Locus ◽  
Variable Number ◽  
Mycobacterium Ulcerans ◽  
Apparent Lack ◽  
Variant Genotype ◽  
Typing Methods ◽  
Genotype C ◽  
Clonal Population Structure

ABSTRACT The molecular typing methods used so far for Mycobacterium ulcerans isolates have not been able to identify genetic differences among isolates from Africa. This apparent lack of genetic diversity among M. ulcerans isolates is indicative of a clonal population structure. We analyzed the genetic diversity of 72 African isolates, including 57 strains from Ghana, by variable number of tandem repeat (VNTR) typing based on a newly identified polymorphic locus designated ST1 and the previously described locus MIRU 1. Three different genotypes were found in Ghana, demonstrating for the first time the genetic diversity of M. ulcerans in an African country. While the ST1/MIRU 1 allele combination BD/BAA seems to dominate in Africa, it was only rarely found in isolates from Ghana, where the combination BD/B was dominant and observed in all districts studied. A third variant genotype (C/BAA) was found only in the Amansie-West district. The results indicate that new genetic variants of M. ulcerans emerged and spread within Ghana and support the potential of VNTR-based typing for genotyping of M. ulcerans.

scholarly journals STRipy: a graphical application for enhanced genotyping of pathogenic short tandem repeats in sequencing data

2021 ◽  
Author(s):  
Andreas Halman ◽  
Egor Dolzhenko ◽  
Alicia Oshlack
Keyword(s):  
Genome Sequencing ◽  
Fragment Length ◽  
Short Tandem Repeats ◽  
Tandem Repeats ◽  
High Throughput Sequencing ◽  
Causal Variant ◽  
Sequencing Data ◽  
Pathogenic Variants ◽  
Set Up ◽  
Short Tandem

AbstractShort tandem repeats (STRs) are highly polymorphic with high mutation rates and expansions of STRs have been implicated as the causal variant in diseases. The application of genome sequencing in patients has recently allowed many new discoveries with over 50 disease causing loci known to date. There are several tools which allow genotyping of STRs from high-throughput sequencing (HTS) data. However, running these tools out of the box only allow around half of the known disease-causing loci to be genotyped, with lengths often limited to either read or fragment length which is less than the pathogenic cut-off for some diseases. While analysis tools can be customised to genotype extra loci, this requires proficiency in bioinformatics to set up, use, and analyse the resulting data, limiting their widespread usage by other researchers and clinicians.To address these issues, we have created a new software called STRipy that has an intuitive graphical interface and requires no specific skills for usage, thus significantly simplifying detection of STRs expansions from human HTS data. STRipy is able to target all known disease-causing STRs with genotyping performed with an established tool, ExpansionHunter, that is incorporated into the software. We have created additional functionality into STRipy to work with long alleles exceeding the fragment length.STRipy was validated using over 60 thousand simulated samples and was shown to work on whole genome sequencing of biological samples with pathogenic variants. Finally, we have used STRipy to acquire genotypes of pathogenic loci for thousands of samples from various populations which are provided to the user along with the data from the literature to assist with results interpretation. We believe the simplicity and breadth of STRipy will increase the testing of STR diseases in current datasets resulting in further diagnoses of rare diseases caused by STRs expansions.

scholarly journals Genome-wide profiling of heritable and de novo STR variations

2016 ◽  
Author(s):  
Thomas Willems ◽  
Dina Zielinski ◽  
Assaf Gordon ◽  
Melissa Gymrek ◽  
Yaniv Erlich
Keyword(s):  
Tandem Repeats ◽  
High Throughput Sequencing ◽  
De Novo ◽  
Genetic Diseases ◽  
Whole Genome Sequencing Data ◽  
Sequencing Data ◽  
High Throughput Sequencing Data ◽  
Genome Wide ◽  
A Genome ◽  
Short Tandem

AbstractShort tandem repeats (STRs) are highly variable elements that play a pivotal role in multiple genetic diseases, population genetics applications, and forensic casework. However, STRs have proven problematic to genotype from high-throughput sequencing data. Here, we describe HipSTR, a novel haplotype-based method for robustly genotyping, haplotyping, and phasing STRs from whole genome sequencing data and report a genome-wide analysis and validation of de novo STR mutations.

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