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Journal ArticleDOI

In Silico Detection and Typing of Plasmids using PlasmidFinder and Plasmid Multilocus Sequence Typing

TL;DR: Two easy-to-use Web tools for in silico detection and characterization of whole-genome sequence (WGS) and whole-plasmid sequence data from members of the family Enterobacteriaceae are designed and developed.
Abstract: In the work presented here, we designed and developed two easy-to-use Web tools for in silico detection and characterization of whole-genome sequence (WGS) and whole-plasmid sequence data from members of the family Enterobacteriaceae. These tools will facilitate bacterial typing based on draft genomes of multidrug-resistant Enterobacteriaceae species by the rapid detection of known plasmid types. Replicon sequences from 559 fully sequenced plasmids associated with the family Enterobacteriaceae in the NCBI nucleotide database were collected to build a consensus database for integration into a Web tool called PlasmidFinder that can be used for replicon sequence analysis of raw, contig group, or completely assembled and closed plasmid sequencing data. The PlasmidFinder database currently consists of 116 replicon sequences that match with at least at 80% nucleotide identity all replicon sequences identified in the 559 fully sequenced plasmids. For plasmid multilocus sequence typing (pMLST) analysis, a database that is updated weekly was generated from www.pubmlst.org and integrated into a Web tool called pMLST. Both databases were evaluated using draft genomes from a collection of Salmonella enterica serovar Typhimurium isolates. PlasmidFinder identified a total of 103 replicons and between zero and five different plasmid replicons within each of 49 S . Typhimurium draft genomes tested. The pMLST Web tool was able to subtype genomic sequencing data of plasmids, revealing both known plasmid sequence types (STs) and new alleles and ST variants. In conclusion, testing of the two Web tools using both fully assembled plasmid sequences and WGS-generated draft genomes showed them to be able to detect a broad variety of plasmids that are often associated with antimicrobial resistance in clinically relevant bacterial pathogens.

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Journal ArticleDOI
TL;DR: The aim of this review is to provide an update on the plasmids mediating DHA-1 cephalosporinase in Klebsiella pneumoniae.
Abstract: The aim of this review is to provide an update on the plasmids mediating DHA-1 cephalosporinase in Klebsiella pneumoniae. These plasmids have been mainly found in this bacterium but not only. The first was isolated from Salmonella sp. in France in the early 1990s. They are currently reported worldwide. BlaDHA-1 beta-lactamase gene is usually co-expressed with many other antibiotic resistance genes such as extended-spectrum β-lactamases (blaCTX-M-, bla SHV -types), oxacillinases (blaOXA-1, blaOXA-30), penicillinases (bla TEM -type), carbapenemases (bla OXA48 , blaKPC-2), aminoglycosides (aacA, aadA, armA), fluoroquinolones (qnrB4, aac6'-1b-cr), and sulfonamide (sul1) resistance genes. Plasmids carrying DHA-1 cephalosporinase have different sizes (22 to 313 kb), belong to diverse groups of incompatibility (R, L/M, FII(k), FIB, A/C2, HI2, HIB), and are self-transferable or not. The multidrug resistance region consists of a mosaic structure composed of resistance genes, insertion sequences, composite transposon, and integrons.

18 citations

Journal ArticleDOI
TL;DR: Variation within clonal lineages could indicate different acquisition events for both ESBL and carbapenemase traits.
Abstract: The aim of this study was to characterize the population structure of 56 OXA-48-like-producing Klebsiella pneumoniae isolates, as well as extended-spectrum β-lactamase (ESBL) and carbapenemase genes, recovered in 2014 and 2015 from 16 hospitals in southern Spain. XbaI pulsed-field gel electrophoresis and multilocus sequence typing were performed to assess clonal relatedness. Representative isolates belonging to OXA-48-like-producing and CTX-M-15-coproducing pulsotypes were selected for characterization of blaOXA-48-like- and blaCTX-M-15-carrying plasmids by PCR-based replicon typing, IncF subtyping, whole-genome sequencing analysis, and typing of Tn1999 structures. Forty-three OXA-48-producing isolates (77%) were recovered from clinical samples and 13 from rectal swabs. All isolates showed ertapenem MIC values of ≥1 mg/liter, although 70% remained susceptible to imipenem and meropenem. Forty-nine isolates (88%) produced OXA-48, 5 produced OXA-245, and 2 produced OXA-181. Twenty-eight different pulsotypes (5 detected in more than 1 hospital) and 16 sequence types (STs) were found. The most prevalent clones were ST15 (29 isolates [52%]) and ST11 (7 isolates [13%]). Forty-five (80%) isolates were also blaCTX-M-15 carriers. The blaCTX-M-15 gene was mostly (82%) located on IncR plasmids, although ST15 and ST11 isolates also carried this gene on IncF plasmids. The composite transposon variant Tn1999.2-like was the most frequent. Among ST15 and ST11 isolates, different transposon variants were observed. The blaOXA-48 gene was mainly located on IncL plasmids, although IncM plasmids were also observed. The spread of OXA-48-like-producing K. pneumoniae in southern Spain is mainly due to ST15 and ST11 clones. Variation within clonal lineages could indicate different acquisition events for both ESBL and carbapenemase traits.

18 citations


Additional excerpts

  • ...dk/services/PlasmidFinder), using a 95% identity threshold (40)....

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Journal ArticleDOI
TL;DR: This study reports for the first time an oxacillin-susceptible mecA-positive Staphylococcus aureus (OS-MRSA) associated with a processed food product in Europe and highlights the potential role of food as a neglected route of dissemination of emerging MRSA variants.

18 citations

Journal ArticleDOI
TL;DR: Next generation sequencing (NGS) offers the unprecedented advantage of providing genetic information at the whole genome level, thus making it ideal for uncovering all possible genetic determinants of antimicrobial resistance in a single microbial genome.
Abstract: The discovery of antibiotics is one of the major achievements in biomedical research. Regrettably, the abuse of antibiotics has caused the emergence of multidrug-resistant pathogens. Since then, infections and mortality caused by multidrugresistant pathogens have increased globally [1]. To date, antimicrobial resistance is a global threat in public health and clinical medicine. It is estimated that the deaths caused by antibiotic-resistant bacteria in the European Union and United States of America amount to 131 cases per day, a rate that will certainly pose a serious socioeconomic burden [1]. Antimicrobial resistance can be caused by genetic mutations that gives rise to, for example, (i) the production of a protein or enzyme that inactivates, modifies or degrades the antimicrobial agent; (ii) the presence of an alternative enzyme that is not inhibited by the antimicrobial agent; (iii) mutationmediated target modification; (iv) posttranscriptional and/or posttranslational modification of the target which may or may not be caused by mutation [2]; (v) reduced uptake of the antimicrobial agent [3]; (vi) drug-specific and multidrug efflux pumps [3]; and (vii) excessive production of the target. It is also possible that bacteria acquire antimicrobial resistance via horizontally-acquired resistance, for example plasmids, transposons and integron systems mediating antimicrobial resistance [4]; It is also possible that antimicrobial resistance may be caused by hitherto unknown mechanisms [5]. Mutation is a common cause of antimicrobial resistance, or change of susceptibility to a specific drug but multiple mutations are often observed for strong resistance towards a drug candidate [6]. This issue is further complicated by the presence of a large number of genes which influence drug resistance and this may include many genes that are not directly involved in the antimicrobial resistance phenotype [7]. This complex link between antimicrobial resistance and genetic events remains enigmatic [6]. The accurate and rapid determination of antimicrobial resistance is crucial not only for the treatment of infections but also for minimizing the risk of antibiotic abuse. Antimicrobial resistance detection methods can be broadly divided into nucleic acid-based and phenotype-based. It is generally accepted that nucleic acid-based techniques are more accurate. These techniques allow the detection of mutations down to the single gene level. Consequently, nucleic acid-based techniques became widely used in diagnostic and research laboratories worldwide. More recently, however, advances in next generation sequencing (NGS) created a breakthrough in the study of antimicrobial resistance. Depending on the type of information needed, NGS can include DNA and RNA (in the form of cDNA) as sequencing material. DNA NGS can reveal, for example, the presence of antimicrobial genes while RNA NGS (or RNA-sequencing) detects global gene expression, including the expression of antimicrobial resistance genes. Coupled with appropriate bioinformatics pipelines such as the ResFinder tool for the identification of acquired antimicrobial resistance genes [8], NGS offers the unprecedented advantage of providing genetic information at the whole genome level, thus making it ideal for uncovering all possible genetic determinants of antimicrobial resistance in a single microbial genome. Recent studies involving large NGS studies of pathogen genomes have identified at least 70 genes that might be involved in the drug resistance of Mycobacterium tuberculosis [9], which are likely to be missed by most routine molecular techniques. Of note, high throughout NGS instruments such as the HiSeq series from Illumina Inc. (CA, USA) are capable of sequencing hundreds of whole bacterial genomes simultaneously. This has accelerated the generation of sequence data and enhanced the study of phylogenomes of large numbers of clinical isolates to enable the discovery of novel antimicrobial resistance genes [8,10–12]. Much work has been done on bacterial pathogens such as Escherichia coli, Klebsiella pneumoniae, Salmonella spp. and Neisseria meningitidis [13]. Furthermore, NGS has been used to study the rate of emergence of antibiotic resistance in M. tuberculosis [12] as well as to detect mega plasmids and multiple plasmids using bioinformatics tools such as the PlasmidFinder [14–17]. Another application of NGS is metagenome analysis, either de novo or with the use of 16S rRNA gene sequencing [11,18]. Samples such as blood, sputum and stool, and even waste water [18] can be subjected to metagenomic analysis that allows the study of all members in a bacterial community. This ‘landscape genome’ will allow the detection of pathogens which are typical in particular diseases or environments. To

18 citations

Journal ArticleDOI
TL;DR: In this paper, the authors compared Escherichia coli from chickens and humans with varying levels of exposure to chicken meat in a low-income community in the southern outskirts of Lima, Peru and found that E. coli strains from market chickens are a potential source of ARGs that can be transmitted to human commensals.
Abstract: The widespread and poorly regulated use of antibiotics in animal production in low- and middle-income countries (LMICs) is increasingly associated with the emergence and dissemination of antibiotic resistance genes (ARGs) in retail animal products. Here, we compared Escherichia coli from chickens and humans with varying levels of exposure to chicken meat in a low-income community in the southern outskirts of Lima, Peru. We hypothesize that current practices in local poultry production result in highly resistant commensal bacteria in chickens that can potentially colonize the human gut. E. coli was isolated from cloacal swabs of non-organic (n = 41) and organic chickens (n = 20), as well as from stools of market chicken vendors (n = 23), non-vendors (n = 48), and babies (n = 60). 315 E. coli isolates from humans (n = 150) and chickens (n = 165) were identified, with chickens showing higher rates of multidrug-resistant and extended-spectrum beta-lactamase phenotypes. Non-organic chicken isolates were more resistant to most antibiotics tested than human isolates, while organic chicken isolates were susceptible to most antibiotics. Whole-genome sequencing of 118 isolates identified shared phylogroups between human and animal populations and 604 ARG hits across genomes. Resistance to florfenicol (an antibiotic commonly used as a growth promoter in poultry but not approved for human use) was higher in chicken vendors compared to other human groups. Isolates from non-organic chickens contained genes conferring resistance to clinically relevant antibiotics, including mcr-1 for colistin resistance, blaCTX-M ESBLs, and blaKPC-3 carbapenemase. Our findings suggest that E. coli strains from market chickens are a potential source of ARGs that can be transmitted to human commensals.

18 citations

References
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Journal ArticleDOI
TL;DR: A web server providing a convenient way of identifying acquired antimicrobial resistance genes in completely sequenced isolates was created, and the method was evaluated on WGS chromosomes and plasmids of 30 isolates.
Abstract: Objectives Identification of antimicrobial resistance genes is important for understanding the underlying mechanisms and the epidemiology of antimicrobial resistance. As the costs of whole-genome sequencing (WGS) continue to decline, it becomes increasingly available in routine diagnostic laboratories and is anticipated to substitute traditional methods for resistance gene identification. Thus, the current challenge is to extract the relevant information from the large amount of generated data.

3,956 citations


"In Silico Detection and Typing of P..." refers methods in this paper

  • ...To extract the relevant information from the large amount of data generated, a Web-based tool, ResFinder, for the identification of acquired or intrinsically present antimicrobial resistance genes in whole-genome data was recently developed (15)....

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Journal ArticleDOI
TL;DR: NCBI’s Conserved Domain Database (CDD) is a resource for the annotation of protein sequences with the location of conserved domain footprints, and functional sites inferred from these footprints.
Abstract: NCBI's Conserved Domain Database (CDD) is a resource for the annotation of protein sequences with the location of conserved domain footprints, and functional sites inferred from these footprints. CDD includes manually curated domain models that make use of protein 3D structure to refine domain models and provide insights into sequence/structure/function relationships. Manually curated models are organized hierarchically if they describe domain families that are clearly related by common descent. As CDD also imports domain family models from a variety of external sources, it is a partially redundant collection. To simplify protein annotation, redundant models and models describing homologous families are clustered into superfamilies. By default, domain footprints are annotated with the corresponding superfamily designation, on top of which specific annotation may indicate high-confidence assignment of family membership. Pre-computed domain annotation is available for proteins in the Entrez/Protein dataset, and a novel interface, Batch CD-Search, allows the computation and download of annotation for large sets of protein queries. CDD can be accessed via http://www.ncbi.nlm.nih.gov/Structure/cdd/cdd.shtml.

2,934 citations


"In Silico Detection and Typing of P..." refers background in this paper

  • ...In particular, the replicase proteins showing the pfam02387 or pfam01051 conserved domains were assigned to the FII and FIB groups, respectively (31)....

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Journal ArticleDOI
TL;DR: Results indicated that the inc/rep PCR method demonstrates high specificity and sensitivity in detecting replicons on reference plasmids and also revealed the presence of recurrent and common plasmid in epidemiologically unrelated Salmonella isolates of different serotypes.

2,163 citations


"In Silico Detection and Typing of P..." refers methods in this paper

  • ...A collection of 24 previously characterized and fully FIG 1 Numbers of fully sequenced plasmids (y axis) classified into incompatibility groups occurring in the different bacterial species of the Enterobacteriaceae family....

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  • ...Since 2005, a PCR-based replicon typing (PBRT) scheme has been available that targets in multiplex PCRs the replicons of the major plasmid families occurring in members of the family Enterobacteriaceae (2)....

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  • ...Here, we present two free, easy-to-use Web tools, PlasmidFinder and pMLST, to analyze and classify plasmids from bacterial species of the family Enterobacteriaceae....

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  • ...Here, we describe the design of two new easy-to-use Web tools useful for the rapid identification of plasmids in Enterobacteriaceae species that are of interest for epidemiological and clinical microbiology investigations of the plasmid-associated spread of antimicrobial resistance....

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  • ...This method was initially developed to detect the replicons of plasmids belonging to the 18 major incompatibility (Inc) groups of Enterobacteriaceae species (3)....

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Journal ArticleDOI
TL;DR: The Bacterial Isolate Genome Sequence Database (BIGSDB) represents a freely available resource that will assist the broader community in the elucidation of the structure and function of bacteria by means of a population genomics approach.
Abstract: The opportunities for bacterial population genomics that are being realised by the application of parallel nucleotide sequencing require novel bioinformatics platforms These must be capable of the storage, retrieval, and analysis of linked phenotypic and genotypic information in an accessible, scalable and computationally efficient manner The Bacterial Isolate Genome Sequence Database (BIGSDB) is a scalable, open source, web-accessible database system that meets these needs, enabling phenotype and sequence data, which can range from a single sequence read to whole genome data, to be efficiently linked for a limitless number of bacterial specimens The system builds on the widely used mlstdbNet software, developed for the storage and distribution of multilocus sequence typing (MLST) data, and incorporates the capacity to define and identify any number of loci and genetic variants at those loci within the stored nucleotide sequences These loci can be further organised into 'schemes' for isolate characterisation or for evolutionary or functional analyses Isolates and loci can be indexed by multiple names and any number of alternative schemes can be accommodated, enabling cross-referencing of different studies and approaches LIMS functionality of the software enables linkage to and organisation of laboratory samples The data are easily linked to external databases and fine-grained authentication of access permits multiple users to participate in community annotation by setting up or contributing to different schemes within the database Some of the applications of BIGSDB are illustrated with the genera Neisseria and Streptococcus The BIGSDB source code and documentation are available at http://pubmlstorg/software/database/bigsdb/ Genomic data can be used to characterise bacterial isolates in many different ways but it can also be efficiently exploited for evolutionary or functional studies BIGSDB represents a freely available resource that will assist the broader community in the elucidation of the structure and function of bacteria by means of a population genomics approach

1,943 citations

Journal ArticleDOI
TL;DR: A Web-based method for MLST of 66 bacterial species based on whole-genome sequencing data that enables investigators to determine the sequence types of their isolates on the basis of WGS data.
Abstract: Accurate strain identification is essential for anyone working with bacteria. For many species, multilocus sequence typing (MLST) is considered the “gold standard” of typing, but it is traditionally performed in an expensive and time-consuming manner. As the costs of whole-genome sequencing (WGS) continue to decline, it becomes increasingly available to scientists and routine diagnostic laboratories. Currently, the cost is below that of traditional MLST. The new challenges will be how to extract the relevant information from the large amount of data so as to allow for comparison over time and between laboratories. Ideally, this information should also allow for comparison to historical data. We developed a Web-based method for MLST of 66 bacterial species based on WGS data. As input, the method uses short sequence reads from four sequencing platforms or preassembled genomes. Updates from the MLST databases are downloaded monthly, and the best-matching MLST alleles of the specified MLST scheme are found using a BLAST-based ranking method. The sequence type is then determined by the combination of alleles identified. The method was tested on preassembled genomes from 336 isolates covering 56 MLST schemes, on short sequence reads from 387 isolates covering 10 schemes, and on a small test set of short sequence reads from 29 isolates for which the sequence type had been determined by traditional methods. The method presented here enables investigators to determine the sequence types of their isolates on the basis of WGS data. This method is publicly available at www.cbs.dtu.dk/services/MLST.

1,620 citations


"In Silico Detection and Typing of P..." refers methods in this paper

  • ...If raw sequence reads are uploaded, they are first assembled (after the sequencing platform is given by the user) as described previously (16)....

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