Multi-locus variable-number tandem-repeat analysis of the fish-pathogenic bacterium Yersinia ruckeri by multiplex PCR and capillary electrophoresis

Under embargo until 17.06.2021.Yersinia ruckeri is an important pathogen of farmed salmonids worldwide, but simple tools suitable for epizootiological investigations (infection tracing, etc.) of this bacterium have been lacking. A Multi-Locus Variable-number tandem-repeat Analysis (MLVA) assay was therefore developed as an easily accessible and unambiguous tool for high-resolution genotyping of recovered isolates. For the MLVA assay presented here, DNA is extracted from cultured Y. ruckeri samples by boiling bacterial cells in water, followed by use of supernatant as template for PCR. Primer-pairs targeting ten Variable-number tandem-repeat (VNTR) loci, interspersed throughout the Y. ruckeri genome, are distributed equally amongst two five-plex PCR reactions running under identical cycling conditions. Forward primers are labelled with either of three fluorescent dyes. Following amplicon confirmation by gel electrophoresis, PCR products are diluted and subjected to capillary electrophoresis. From the resulting electropherogram profiles, peaks representing each of the VNTR loci are size-called and employed for calculating VNTR repeat counts in silico. Resulting ten-digit MLVA profiles are then used to generate Minimum spanning trees enabling epizootiological evaluation by cluster analysis. The highly portable output data, in the form of numerical MLVA profiles, can rapidly be compared across labs and placed in a spatiotemporal context. The entire procedure from cultured colony to epizootiological evaluation may be completed for up to 48 Y. ruckeri isolates within a single working day. The video component of this article can be found at https://www.jove.com/video/59455/.publishedVersio

Development of Multi-Locus Variable Number Tandem Repeat Analysis for Outbreak Detection of Neisseria meningitidis

Neisseria meningitidis is a major cause of septicemia and meningitis worldwide. Traditional typing methods like pulsed-field gel electrophoresis (PFGE) for identifying outbreaks are subjective and time consuming. Multi-locus variable number tandem repeats analysis (MLVA) is an objective typing method amenable to automation that has been used to type other bacterial pathogens. This report describes the development of MLVA for outbreak detection of N. meningitidis. Tandem Repeats Finder software was used to identify variable number tandem repeats (VNTRs) from 3 sequenced N. meningitidis genomes. PCR amplification of identified VNTRs was performed on DNA from 7 serogroup representative isolates. PCR products were sequenced and repeats were manually counted. VNTR loci identified by this screen were evaluated on a collection of 46 outbreak and sporadic serogroup C isolates. Alleles at each locus were concatenated to define the MLVA type for each isolate. Minimum spanning tree (MST) analysis was performed to determine the genetic relationships among the isolates. The genetic distance was defined as the summed tandem repeat difference (STRD) between isolates MLVA types. Outbreak clusters were defined by a STRD less than or equal to 3. These data was compared to PFGE data to determine the utility of MLVA for outbreak detection. Twenty-one VNTR loci with variable copy numbers among the sequenced genomes were identified that met the established criteria of short repeat length and consensus sequence > 85%. Seven VNTR loci were reliably amplified among the 7 serogroups tested. These loci had repeat lengths between 4 and 20 nucleotides and exhibited between 10 and 26 alleles among 61 isolates belonging to 7 different serogroups. MST analysis with 7 loci differentiated serogroups, discriminated sporadic isolates and identified 7 out of 8 serogroup C outbreaks. In summary, MLVA with 5 VNTR loci distinguished N. meningitidis isolates from 7 different serogroups and sporadic isolates within each serogroup. In addition, MLVA identified 88% of PFGE-defined serogroup C outbreaks. Further investigation of these and other outbreak-associated isolates is necessary to define the optimal combination of VNTR loci and to evaluate MST analysis criteria in order to determine the utility of MLVA for N. meningitidis outbreak detection

Multi-locus variable-number tandem repeat analysis for outbreak studies of Salmonella enterica serotype Enteritidis

<p>Abstract</p> <p>Background</p> <p><it>Salmonella enterica </it>subsp. <it>enterica </it>serotype Enteritidis is known as an important and pathogenic clonal group which continues to cause worldwide sporadic cases and outbreaks in humans. Here a new multiple-locus variable-number tandem repeat analysis (MLVA) method is reported for highly-discriminative subtyping of <it>Salmonella </it>Enteritidis. Emphasis was given on the most predominant phage types PT4 and PT8. The method comprises multiplex PCR specifically amplifying repeated sequences from nine different loci followed by an automatic fragment size analysis using a multicolor capillary electrophoresis instrument. A total of 240 human, animal, food and environmental isolates of <it>S</it>. Enteritidis including 23 definite phage types were used for development and validation. Furthermore, the MLVA types were compared to the phage types of several isolates from two recent outbreaks to determine the concordance between both methods and to estimate their in vivo stability. The in vitro stability of the two MLVA types specifically for PT4 and PT8 strains were determined by multiple freeze-thaw cycles.</p> <p>Results</p> <p>Seventy-nine different MLVA types were identified in 240 <it>S</it>. Enteritidis strains. The Simpson's diversity index for the MLVA method was 0.919 and Nei diversity values for the nine VNTR loci ranged from 0.07 to 0.65. Twenty-four MLVA types could be assigned to 62 PT4 strains and 21 types to 81 PT8 strains. All outbreak isolates had an indistinguishable outbreak specific MLVA type. The in vitro stability experiments showed no changes of the MLVA type compared to the original isolate.</p> <p>Conclusion</p> <p>This MLVA method is useful to discriminate <it>S</it>. Enteritidis strains even within a single phage type. It is easy in use, fast, and cheap compared to other high-resolution molecular methods and therefore an important tool for surveillance and outbreak studies for <it>S</it>. Enteritidis.</p

Molecular characterization of Salmonella Enteritidis : comparison of an optimized multi-locus variable-number of tandem repeat analysis (MLVA) and pulsed-field gel electrophoresis

Salmonella Enteritidis (SE) is a genetically homogenous serovar, which makes optimal subtype discrimination crucial for epidemiological research. This study describes the development and evaluation of an optimized multiple-locus variable number tandem-repeat assay (MLVA) for characterization of SE. The typeability and discriminatory power of this MLVA was determined on a selected collection of 60 SE isolates and compared with pulsed-field gel electrophoresis (PFGE) using restriction enzymes XbaI, NotI, or SfiI. In addition, the estimated Wallace coefficient (W) was calculated to assess the congruence of the typing methods. Selection of epidemiologically unrelated isolates and more related isolates (originating from layer farms) was also based on the given phage type (PT). When targeting six loci, MLVA generated 16 profiles, while PFGE produced 10, 9, and 16 pulsotypes using XbaI, NotI, and SfiI, respectively, for the entire strain collection. For the epidemiologically unrelated isolates, MLVA had the highest discriminatory power and showed good discrimination between isolates from different layer farms and among isolates from the same layer farm. MLVA performed together with PT showed higher discriminatory power compared to PFGE using one restriction enzyme together with PT. Results showed that combining PT with the optimized MLVA presented here provides a rapid typing tool with good discriminatory power for characterizing SE isolates of various origins and isolates originating from the same layer farm

Multi-Locus Variable-Number Tandem Repeat Profiling of Salmonella enterica Serovar Typhi Isolates from Blood Cultures and Gallbladder Specimens from Makassar, South-Sulawesi, Indonesia

Multi-locus variable-number tandem repeat analysis differentiated 297 Salmonella enterica serovar Typhi blood culture isolates from Makassar in 76 genotypes and a single unique S. Typhi genotype was isolated from the cholecystectomy specimens of four patients with cholelithiasis. The high diversity in S. Typhi genotypes circulating in Makassar indicates that the number of carriers could be very large, which may complicate disease prevention and control

A new multi locus variable number of tandem repeat analysis scheme for epidemiological surveillance of Xanthomonas vasicola pv. musacearum, the plant pathogen causing bacterial wilt on banana and enset

Xanthomonas vasicola pv. musacearum (Xvm) which causes Xanthomonas wilt (XW) on banana (Musa accuminata x balbisiana) and enset (Ensete ventricosum), is closely related to the species Xanthomonas vasicola that contains the pathovars vasculorum (Xvv) and holcicola (Xvh), respectively pathogenic to sugarcane and sorghum. Xvm is considered a monomorphic bacterium whose intra-pathovar diversity remains poorly understood. With the sudden emergence of Xvm within east and central Africa coupled with the unknown origin of one of the two sublineages suggested for Xvm, attention has shifted to adapting technologies that focus on identifying the origin and distribution of the genetic diversity within this pathogen. Although microbiological and conventional molecular diagnostics have been useful in pathogen identification. Recent advances have ushered in an era of genomic epidemiology that aids in characterizing monomorphic pathogens. To unravel the origin and pathways of the recent emergence of XW in Eastern and Central Africa, there was a need for a genotyping tool adapted for molecular epidemiology. Multi-Locus Variable Number of Tandem Repeat Analysis (MLVA) is able to resolve the evolutionary patterns and invasion routes of a pathogen. In this study, we identified microsatellite loci from nine published Xvm genome sequences. Of the 36 detected microsatellite loci, 21 were selected for primer design and 19 determined to be highly typeable, specific, reproducible and polymorphic with two- to four- alleles per locus on a sub-collection. The 19 markers were multiplexed and applied to genotype 335 Xvm strains isolated from seven countries over several years. The microsatellite markers grouped the Xvm collection into three clusters; with two similar to the SNP-based sublineages 1 and 2 and a new cluster 3, revealing an unknown diversity in Ethiopia. Five of the 19 markers had alleles present in both Xvm and Xanthomonas vasicola pathovars holcicola and vasculorum, supporting the phylogenetic closeliness of these three pathovars. Thank to the public availability of the haplotypes on the MLVABank database, this highly reliable and polymorphic genotyping tool can be further used in a transnational surveillance network to monitor the spread and evolution of XW throughout Africa.. It will inform and guide management of Xvm both in banana-based and enset-based cropping systems. Due to the suitability of MLVA-19 markers for population genetic analyses, this genotyping tool will also be used in future microevolution studies

Whole-genome sequencing for national surveillance of Shiga toxin–producing Escherichia coli O157

Background. National surveillance of gastrointestinal pathogens, such as Shiga toxin–producing Escherichia coli O157 (STEC O157), is key to rapidly identifying linked cases in the distributed food network to facilitate public health interventions. In this study, we used whole-genome sequencing (WGS) as a tool to inform national surveillance of STEC O157 in terms of identifying linked cases and clusters and guiding epidemiological investigation. Methods. We retrospectively analyzed 334 isolates randomly sampled from 1002 strains of STEC O157 received by the Gastrointestinal Bacteria Reference Unit at Public Health England, Colindale, in 2012. The genetic distance between each isolate, as estimated by WGS, was calculated and phylogenetic methods were used to place strains in an evolutionary context. Results. Estimates of linked clusters representing STEC O157 outbreaks in England and Wales increased by 2-fold when WGS was used instead of traditional typing techniques. The previously unidentified clusters were often widely geographically distributed and small in size. Phylogenetic analysis facilitated identification of temporally distinct cases sharing common exposures and delineating those that shared epidemiological and temporal links. Comparison with multi locus variable number tandem repeat analysis (MLVA) showed that although MLVA is as sensitive as WGS, WGS provides a more timely resolution to outbreak clustering. Conclusions. WGS has come of age as a molecular typing tool to inform national surveillance of STEC O157; it can be used in real time to provide the highest strain-level resolution for outbreak investigation. WGS allows linked cases to be identified with unprecedented specificity and sensitivity that will facilitate targeted and appropriate public health investigations

Whole genome sequencing of Salmonella Typhimurium illuminates distinct outbreaks caused by an endemic multi-locus variable number tandem repeat analysis type in Australia, 2014

Phylogeny of the outbreak A and M strains in the context of national and international STM isolates. Genome data analysed in Octavia et al. representing five STM outbreaks in Australia [25]; Kingsley et al. representing ST313 outbreak in Malawi [30]; Leekitcharoenphon et al. representing six STM outbreaks in Denmark [15] and Hawkey et al. representing STM DT135a outbreak in Australia [21] were also included as comparisons and marked as the corresponding study/outbreak. Other branches that are not labelled are background isolates from the above studies; draft genomes from Pang et al. [29] which include five diverse Australian STM isolates; Fu et al. representing Salmonella reference collection A; [28] and other fully sequenced STM genomes available from GenBank including LT2 (Accession No. NC003197), 798 (Accession No. CP003386), DT2 (Accession No. HG326213), DT104 (Accession No. HF937208), 14028S (Accession No. CP001363), SL1344 (Accession No. FQ312003), UK-1 (Accession No. CP002614), T000240 (Accession No. AP011957), U288 (Accession No. CP003836) and ST4/74 (Accession No. CP002487). Bootstrap values if greater than 50 %, are presented on the internal branches. (PPTX 74 kb