scholarly journals Outcome of Different Sequencing and Assembly Approaches on the Detection of Plasmids and Localization of Antimicrobial Resistance Genes in Commensal Escherichia coli

2021 ◽  
Vol 9 (3) ◽  
pp. 598
Author(s):  
Katharina Juraschek ◽  
Maria Borowiak ◽  
Simon H. Tausch ◽  
Burkhard Malorny ◽  
Annemarie Käsbohrer ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Antimicrobial Resistance ◽  
Mobile Genetic Elements ◽  
Hybrid Assembly ◽  
Small Plasmid ◽  
Short Read ◽  
Short Read Sequencing ◽  
Genetic Elements ◽  
Antimicrobial Resistance Genes ◽  
Long Read

Antimicrobial resistance (AMR) is a major threat to public health worldwide. Currently, AMR typing changes from phenotypic testing to whole-genome sequence (WGS)-based detection of resistance determinants for a better understanding of the isolate diversity and elements involved in gene transmission (e.g., plasmids, bacteriophages, transposons). However, the use of WGS data in monitoring purposes requires suitable techniques, standardized parameters and approved guidelines for reliable AMR gene detection and prediction of their association with mobile genetic elements (plasmids). In this study, different sequencing and assembly strategies were tested for their suitability in AMR monitoring in Escherichia coli in the routines of the German National Reference Laboratory for Antimicrobial Resistances. To assess the outcomes of the different approaches, results from in silico predictions were compared with conventional phenotypic- and genotypic-typing data. With the focus on (fluoro)quinolone-resistant E.coli, five qnrS-positive isolates with multiple extrachromosomal elements were subjected to WGS with NextSeq (Illumina), PacBio (Pacific BioSciences) and ONT (Oxford Nanopore) for in depth characterization of the qnrS1-carrying plasmids. Raw reads from short- and long-read sequencing were assembled individually by Unicycler or Flye or a combination of both (hybrid assembly). The generated contigs were subjected to bioinformatics analysis. Based on the generated data, assembly of long-read sequences are error prone and can yield in a loss of small plasmid genomes. In contrast, short-read sequencing was shown to be insufficient for the prediction of a linkage of AMR genes (e.g., qnrS1) to specific plasmid sequences. Furthermore, short-read sequencing failed to detect certain duplications and was unsuitable for genome finishing. Overall, the hybrid assembly led to the most comprehensive typing results, especially in predicting associations of AMR genes and mobile genetic elements. Thus, the use of different sequencing technologies and hybrid assemblies currently represents the best approach for reliable AMR typing and risk assessment.

scholarly journals Genomic evolution of antimicrobial resistance in Escherichia coli

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Pimlapas Leekitcharoenphon ◽  
Markus Hans Kristofer Johansson ◽  
Patrick Munk ◽  
Burkhard Malorny ◽  
Magdalena Skarżyńska ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Antimicrobial Resistance ◽  
Virulence Genes ◽  
Mobile Genetic Elements ◽  
Whole Genome ◽  
Sequencing Analysis ◽  
Metagenomic Sequencing ◽  
Fecal Samples ◽  
E Coli ◽  
Genetic Elements

AbstractThe emergence of antimicrobial resistance (AMR) is one of the biggest health threats globally. In addition, the use of antimicrobial drugs in humans and livestock is considered an important driver of antimicrobial resistance. The commensal microbiota, and especially the intestinal microbiota, has been shown to have an important role in the emergence of AMR. Mobile genetic elements (MGEs) also play a central role in facilitating the acquisition and spread of AMR genes. We isolated Escherichia coli (n = 627) from fecal samples in respectively 25 poultry, 28 swine, and 15 veal calf herds from 6 European countries to investigate the phylogeny of E. coli at country, animal host and farm levels. Furthermore, we examine the evolution of AMR in E. coli genomes including an association with virulence genes, plasmids and MGEs. We compared the abundance metrics retrieved from metagenomic sequencing and whole genome sequenced of E. coli isolates from the same fecal samples and farms. The E. coli isolates in this study indicated no clonality or clustering based on country of origin and genetic markers; AMR, and MGEs. Nonetheless, mobile genetic elements play a role in the acquisition of AMR and virulence genes. Additionally, an abundance of AMR was agreeable between metagenomic and whole genome sequencing analysis for several AMR classes in poultry fecal samples suggesting that metagenomics could be used as an indicator for surveillance of AMR in E. coli isolates and vice versa.

scholarly journals Evolutionary History of the Global Emergence of the Escherichia coli Epidemic Clone ST131

mBio ◽  
2016 ◽  
Vol 7 (2) ◽  
Author(s):  
Nicole Stoesser ◽  
Anna E. Sheppard ◽  
Louise Pankhurst ◽  
Nicola De Maio ◽  
Catrin E. Moore ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Antimicrobial Resistance ◽  
Evolutionary History ◽  
Mobile Genetic Elements ◽  
The United States ◽  
Sequence Type ◽  
E Coli ◽  
Genetic Elements ◽  
Extended Spectrum ◽  
History Of

ABSTRACT Escherichia coli sequence type 131 (ST131) has emerged globally as the most predominant extraintestinal pathogenic lineage within this clinically important species, and its association with fluoroquinolone and extended-spectrum cephalosporin resistance impacts significantly on treatment. The evolutionary histories of this lineage, and of important antimicrobial resistance elements within it, remain unclearly defined. This study of the largest worldwide collection ( n = 215) of sequenced ST131 E. coli isolates to date demonstrates that the clonal expansion of two previously recognized antimicrobial-resistant clades, C1/ H 30R and C2/ H 30Rx, started around 25 years ago, consistent with the widespread introduction of fluoroquinolones and extended-spectrum cephalosporins in clinical medicine. These two clades appear to have emerged in the United States, with the expansion of the C2/ H 30Rx clade driven by the acquisition of a bla CTX-M-15 -containing IncFII-like plasmid that has subsequently undergone extensive rearrangement. Several other evolutionary processes influencing the trajectory of this drug-resistant lineage are described, including sporadic acquisitions of CTX-M resistance plasmids and chromosomal integration of bla CTX-M within subclusters followed by vertical evolution. These processes are also occurring for another family of CTX-M gene variants more recently observed among ST131, the bla CTX-M-14/14-like group. The complexity of the evolutionary history of ST131 has important implications for antimicrobial resistance surveillance, epidemiological analysis, and control of emerging clinical lineages of E. coli . These data also highlight the global imperative to reduce specific antibiotic selection pressures and demonstrate the important and varied roles played by plasmids and other mobile genetic elements in the perpetuation of antimicrobial resistance within lineages. IMPORTANCE Escherichia coli , perennially a major bacterial pathogen, is becoming increasingly difficult to manage due to emerging resistance to all preferred antimicrobials. Resistance is concentrated within specific E. coli lineages, such as sequence type 131 (ST131). Clarification of the genetic basis for clonally associated resistance is key to devising intervention strategies. We used high-resolution genomic analysis of a large global collection of ST131 isolates to define the evolutionary history of extended-spectrum beta-lactamase production in ST131. We documented diverse contributory genetic processes, including stable chromosomal integrations of resistance genes, persistence and evolution of mobile resistance elements within sublineages, and sporadic acquisition of different resistance elements. Both global distribution and regional segregation were evident. The diversity of resistance element acquisition and propagation within ST131 indicates a need for control and surveillance strategies that target both bacterial strains and mobile genetic elements.

scholarly journals Non-human primates in the Gambia harbour human-associated pathogenic Escherichia coli strains

2020 ◽  
Vol 2 (7A) ◽  
Author(s):  
Ebenezer Foster-Nyarko ◽  
Nabil-Fareed Alikhan ◽  
Anuradha Ravi ◽  
Gaëtan Thilliez ◽  
Nicholas Thomson ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Antimicrobial Resistance ◽  
Resistance Genes ◽  
The Gambia ◽  
Public Health Importance ◽  
Software Environment ◽  
E Coli ◽  
Antimicrobial Resistance Genes ◽  
Long Read ◽  
Sequence Types

Increasing contact between humans and non-human primates provides an opportunity for the transfer of potential pathogens or antimicrobial resistance between different host species. We have investigated genetic diversity and antimicrobial resistance in Escherichia coli isolates from a range of non-human primates dispersed across the Gambia: patas monkey (n=1), western colobus monkey (n=6), green monkey (n=14) and guinea baboon (n=22). From 43 stools, we recovered 99 isolates. We performed Illumina whole-genome shotgun sequencing on all isolates and nanopore long-read sequencing on isolates with antimicrobial resistance genes. We inferred the evolution of E. coli in this population using the EnteroBase software environment. We identified 43 sequence types (ten of them novel), spanning five of the eight known phylogroups of E. coli. Many of the observed sequence types and phylotypes from non-human primates have been associated with human extra-intestinal infection and carry virulence characteristics associated with disease in humans, particularly ST73, ST217 and ST681. However, we found a low prevalence of antimicrobial resistance genes in isolates from non-human primates. Hierarchical clustering showed that ST442 and ST349 from non-human primates are closely related to isolates from human infections, suggesting recent exchange of bacteria between humans and monkeys. Our results are of public health importance, considering the increasing contact between humans and wild primates.

scholarly journals Novel canine high-quality metagenome-assembled genomes, prophages, and host-associated plasmids by long-read metagenomics together with Hi-C proximity ligation

2021 ◽  
Author(s):  
Anna Cusco ◽  
Daniel Perez ◽  
Joaquim Vines ◽  
Norma Fabregas ◽  
Olga Francino
Keyword(s):  
Mobile Genetic Elements ◽  
Bacterial Host ◽  
High Quality ◽  
Short Read ◽  
Genetic Elements ◽  
Proximity Ligation ◽  
Long Read ◽  
Ribosomal Operons ◽  
Species Specific ◽  
Public Datasets

Long-read metagenomics facilitates the assembly of high-quality metagenome-assembled genomes (HQ MAGs) out of complex microbiomes. It provides highly contiguous assemblies by spanning repetitive regions, complete ribosomal genes, and mobile genetic elements. Hi-C proximity ligation data bins the long contigs and their associated extra-chromosomal elements to their bacterial host. Here, we characterized a canine fecal sample combining a long-read metagenomics assembly with Hi-C data, and further correcting frameshift errors. We retrieved 27 HQ MAGs and seven medium-quality (MQ) MAGs considering MIMAG criteria. All the long-read canine MAGs improved previous short-read MAGs from public datasets regarding contiguity of the assembly, presence, and completeness of the ribosomal operons, and presence of canonical tRNAs. This trend was also observed when comparing to representative genomes from a pure culture (short-read assemblies). Moreover, Hi-C data linked six potential plasmids to their bacterial hosts. Finally, we identified 51 bacteriophages integrated into their bacterial host, providing novel host information for eight viral clusters that included Gut Phage Database viral genomes. Even though three viral clusters were species-specific, most of them presented a broader host range. In conclusion, long-read metagenomics retrieved long contigs harboring complete assembled ribosomal operons, prophages, and other mobile genetic elements. Hi-C binned together the long contigs into HQ and MQ MAGs, some of them representing closely related species. Long-read metagenomics and Hi-C proximity ligation are likely to become a comprehensive approach to HQ MAGs discovery and assignment of extra-chromosomal elements to their bacterial host.

scholarly journals Hybrid Assembly Provides Improved Resolution of Plasmids, Antimicrobial Resistance Genes, and Virulence Factors in Escherichia coli and Klebsiella pneumoniae Clinical Isolates

2021 ◽  
Vol 9 (12) ◽  
pp. 2560
Author(s):  
Abdolrahman Khezri ◽  
Ekaterina Avershina ◽  
Rafi Ahmad
Keyword(s):  
Escherichia Coli ◽  
Antimicrobial Resistance ◽  
Blood Culture ◽  
Klebsiella Pneumoniae ◽  
Virulence Factors ◽  
Whole Genome Sequence ◽  
Clinical Samples ◽  
Hybrid Assembly ◽  
Antimicrobial Resistance Genes ◽  
Quality Checks

Emerging new sequencing technologies have provided researchers with a unique opportunity to study factors related to microbial pathogenicity, such as antimicrobial resistance (AMR) genes and virulence factors. However, the use of whole-genome sequence (WGS) data requires good knowledge of the bioinformatics involved, as well as the necessary techniques. In this study, a total of nine Escherichia coli and Klebsiella pneumoniae isolates from Norwegian clinical samples were sequenced using both MinION and Illumina platforms. Three out of nine samples were sequenced directly from blood culture, and one sample was sequenced from a mixed-blood culture. For genome assembly, several long-read, (Canu, Flye, Unicycler, and Miniasm), short-read (ABySS, Unicycler and SPAdes) and hybrid assemblers (Unicycler, hybridSPAdes, and MaSurCa) were tested. Assembled genomes from the best-performing assemblers (according to quality checks using QUAST and BUSCO) were subjected to downstream analyses. Flye and Unicycler assemblers performed best for the assembly of long and short reads, respectively. For hybrid assembly, Unicycler was the top-performing assembler and produced more circularized and complete genome assemblies. Hybrid assembled genomes performed substantially better in downstream analyses to predict putative plasmids, AMR genes and β-lactamase gene variants, compared to MinION and Illumina assemblies. Thus, hybrid assembly has the potential to reveal factors related to microbial pathogenicity in clinical and mixed samples.

Identification of a mecA/mecC-positive MRSA ST1-t127 isolate from a racehorse in Japan

2019 ◽  
Author(s):  
Tsuyoshi Sekizuka ◽  
Hidekazu Niwa ◽  
Yuta Kinoshita ◽  
Eri Uchida-Fujii ◽  
Yuba Inamine ◽  
...  
Keyword(s):  
Genome Sequence ◽  
Complete Genome Sequence ◽  
Complete Genome ◽  
Core Genome ◽  
Hybrid Assembly ◽  
Pairwise Sequence Alignment ◽  
Community Based ◽  
Short Read Sequencing ◽  
Antimicrobial Resistance Genes ◽  
Long Read

Abstract Objectives MRSA is a known pathogen that affects horses. We investigated an equine MRSA isolate for potential antimicrobial resistance genes, classified the staphylococcal cassette chromosome mec (SCCmec) and identified the strain-specific dissemination in the horse community based on WGS. Methods WGS, using short-read sequencing, and subsequent long-read sequencing by hybrid assembly, was conducted to obtain a complete genome sequence. Pairwise sequence alignment of relative SCCmec sequences and core-genome phylogenetic analysis were performed to highlight transmission routes of the SCCmec and MRSA strain-specific lineages. Results In 2018, we isolated the MRSA JRA307 strain from the pus of a wound on a racehorse and the complete genome sequence suggests that it is a clinically relevant pvl-negative ST1-t127 MRSA that harbours both mecA and mecC on SCCmec-307. SCCmec-307 exhibited marked sequence identity to the previously reported SCCmec–mecC in the Staphylococcus sciuri GVGS2 strain isolated from cattle. The JRA307 mecC gene was classified as a mecC allotype of S. sciuri rather than that of Staphylococcus aureus. Conclusions We demonstrated the complete genome sequence of equine isolate JRA307, which is a clinically relevant MRSA harbouring mecA and mecC on SCCmec-307. The finding of mecC MRSA suggests a possible SCCmec transmission between distinct staphylococcal species. To the best of our knowledge, this is the first report of mecC detection in Japan.

scholarly journals Assignment of virus and antimicrobial resistance genes to microbial hosts in a complex microbial community by combined long-read assembly and proximity ligation

2018 ◽  
Author(s):  
Derek M. Bickhart ◽  
Mick Watson ◽  
Sergey Koren ◽  
Kevin Panke-Buisse ◽  
Laura M. Cersosimo ◽  
...  
Keyword(s):  
Microbial Community ◽  
Antimicrobial Resistance ◽  
Resistance Genes ◽  
Open Reading Frames ◽  
Short Read ◽  
Proximity Ligation ◽  
Antimicrobial Resistance Genes ◽  
Long Read ◽  
Assembly Algorithms

AbstractThe characterization of microbial communities by metagenomic approaches has been enhanced by recent improvements in short-read sequencing efficiency and assembly algorithms. We describe the results of adding long-read sequencing to the mix of technologies used to assemble a highly complex cattle rumen microbial community, and compare the assembly to current short read-based methods applied to the same sample. Contigs in the long-read assembly were 7-fold longer on average, and contained 7-fold more complete open reading frames (ORF), than the short read assembly, despite having three-fold lower sequence depth. The linkages between long-read contigs, provided by proximity ligation data, supported identification of 188 novel viral-host associations in the rumen microbial community that suggest cross-species infectivity of specific viral strains. The improved contiguity of the long-read assembly also identified 94 antimicrobial resistance genes, compared to only seven alleles identified in the short-read assembly. Overall, we demonstrate a combination of experimental and computational methods that work synergistically to improve characterization of biological features in a highly complex rumen microbial community.

scholarly journals Detection of mobile genetic elements associated with antibiotic resistance in Salmonella enterica using a newly developed web tool: MobileElementFinder

2020 ◽  
Vol 76 (1) ◽  
pp. 101-109 ◽  
Author(s):  
Markus H K Johansson ◽  
Valeria Bortolaia ◽  
Supathep Tansirichaiya ◽  
Frank M Aarestrup ◽  
Adam P Roberts ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Resistance Genes ◽  
Salmonella Enterica ◽  
Sequence Data ◽  
Sequence Similarity ◽  
Mobile Genetic Elements ◽  
Metal Resistance ◽  
Animal Origin ◽  
Genetic Elements ◽  
Antimicrobial Resistance Genes

Abstract Objectives Antimicrobial resistance (AMR) in clinically relevant bacteria is a growing threat to public health globally. In these bacteria, antimicrobial resistance genes are often associated with mobile genetic elements (MGEs), which promote their mobility, enabling them to rapidly spread throughout a bacterial community. Methods The tool MobileElementFinder was developed to enable rapid detection of MGEs and their genetic context in assembled sequence data. MGEs are detected based on sequence similarity to a database of 4452 known elements augmented with annotation of resistance genes, virulence factors and detection of plasmids. Results MobileElementFinder was applied to analyse the mobilome of 1725 sequenced Salmonella enterica isolates of animal origin from Denmark, Germany and the USA. We found that the MGEs were seemingly conserved according to multilocus ST and not restricted to either the host or the country of origin. Moreover, we identified putative translocatable units for specific aminoglycoside, sulphonamide and tetracycline genes. Several putative composite transposons were predicted that could mobilize, among others, AMR, metal resistance and phosphodiesterase genes associated with macrophage survivability. This is, to our knowledge, the first time the phosphodiesterase-like pdeL has been found to be potentially mobilized into S. enterica. Conclusions MobileElementFinder is a powerful tool to study the epidemiology of MGEs in a large number of genome sequences and to determine the potential for genomic plasticity of bacteria. This web service provides a convenient method of detecting MGEs in assembled sequence data. MobileElementFinder can be accessed at https://cge.cbs.dtu.dk/services/MobileElementFinder/.

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