BACKGROUND: Salmonella spp. is a major foodborne pathogen with a wide variety of serovars associated with human cases and food sources. Nevertheless, in Europe a panel of ten serovars is responsible for up to 80% of confirmed human cases. Clustering studies by single nucleotide polymorphism (SNP) core-genome phylogenetic analysis of outbreaks due to these major serovars are simplified by the availability of many complete genomes in the free access databases. This is not the case for outbreaks due to less common serovars, such as Welikade, for which no reference genomes are available. In this study, we propose a method to solve this problem. We propose to perform a core genome MLST (cgMLST) analysis based on hierarchical clustering using the free-access EnteroBase to select the most suitable genome to use as a reference for SNP phylogenetic analysis. In this study, we applied this protocol to a retrospective analysis of a Salmonella enterica serovar Welikade (S. Welikade) foodborne outbreak that occurred in France in 2016. Finally, we compared the cgMLST and SNP analyses. SNP phylogenetic reconstruction was carried out considering the effect of recombination events identified by the ClonalFrameML tool. The accessory genome was also explored by phage content and virulome analyses.
RESULTS: Our findings revealed high clustering concordance using cgMLST and SNP analyses. Nevertheless, SNP analysis allowed for better assessment of the genetic distance among strains. The results revealed epidemic clones of S. Welikade circulating within the poultry and dairy sectors in France, responsible for sporadic and non-sporadic human cases between 2012 and 2019.
CONCLUSIONS: This study increases knowledge on this poorly described serovar and enriches public genome databases with 42 genomes from human and non-human S. Welikade strains, including the isolate collected in 1956 in Sri Lanka, which gave the name to this serovar. This is the first genomic analysis of an outbreak due to S. Welikade described to date.

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Hybridization and introgression can impact the evolution of natural populations. Several wild canid species hybridize in nature, sometimes originating new taxa. However, hybridization with free-ranging dogs is threatening the genetic integrity of grey wolf populations (Canis lupus), or even the survival of endangered species (e.g., the Ethiopian wolf C. simensis). Efficient molecular tools to assess hybridization rates are essential in wolf conservation strategies. We evaluated the power of biparental and uniparental markers (39 autosomal and 4 Y-linked microsatellites, a melanistic deletion at the β-defensin CBD103 gene, the hypervariable domain of the mtDNA control-region) to identify the multilocus admixture patterns in wolf x dog hybrids. We used empirical data from 2 hybrid groups with different histories: 30 presumptive natural hybrids from Italy and 73 Czechoslovakian wolfdogs of known hybrid origin, as well as simulated data. We assessed the efficiency of various marker combinations and reference samples in admixture analyses using 69 dogs of different breeds and 99 wolves from Italy, Balkans and Carpathian Mountains. Results confirmed the occurrence of hybrids in Italy, some of them showing anomalous phenotypic traits and exogenous mtDNA or Y-chromosome introgression. Hybridization was mostly attributable to village dogs and not strictly patrilineal. The melanistic β-defensin deletion was found only in Italian dogs and in putative hybrids. The 24 most divergent microsatellites (largest wolf-dog FST values) were equally or more informative than the entire panel of 39 loci. A smaller panel of 12 microsatellites increased risks to identify false admixed individuals. The frequency of F1 and F2 was lower than backcrosses or introgressed individuals, suggesting hybridization already occurred some generations in the past, during early phases of wolf expansion from their historical core areas. Empirical and simulated data indicated the identification of the past generation backcrosses is always uncertain, and a larger number of ancestry-informative markers is needed.

Multilocus sequence typing (MLST) is a widely used approach for differentiating microbial isolates presenting many advantages such as easy access through online databases and straightforward interpretation. For the Fusarium solani species complex (FSSC), three gene regions have been widely used to investigate phylogenetic relationships at the interspecific level (ITS-nuLSU, EF1a, RPB2) and a nomenclature system has been proposed for the different known haplotypes. More recently, a MLST scheme was proposed for this species complex based on the polymorphisms of five housekeeping genes (ACC, ICL, GDP, MDP, SOD). Here, we compare the phylogenetic resolution and sequence discriminatory powers of these two sets of loci on 50 epidemiologically unrelated FSSC strains. Although the widely used gene set offers better phylogenetic resolution, the newly developed gene set is slightly better at discriminating isolates using a MLST method. A consensus scheme of eight loci is proposed for typing FSSC strains combining the advantages of the two previous gene sets and offering the best typing efficiency.

Chlamydia is one of the most common sexually transmitted infections worldwide and can cause ectopic pregnancies and infertility. It is therefore important to have adequate genotyping tools for investigating the spread of Chlamydia trachomatis among the population. Here, we describe a high-resolution multilocus sequence typing (MLST) system able to differentiate closely related clinical strains, which makes it ideal for short-term epidemiology and outbreak investigations. It is based on five highly variable but stable target regions which are PCR amplified and DNA sequenced.

The interpretation of multilocus STR profiling is a complex task that requires a high degree of expertise due to the high number of variables that can affect a biological and analytical process like this.The purpose of this chapter is to provide guidelines to categorize the mixtures using a discrete system and select those in the white area to produce a profile for reporting and/or comparing.

Low template (LT) DNA testing is a more sensitive method of PCR DNA typing which tests lower quantities of DNA compared to traditional PCR DNA protocols. Methods applied in this testing involve amplification or postamplification efforts to increase detection sensitivity. Establishing the interpretation rules of the results obtained is condition sine qua non for successful incorporation of this valuable technique into forensic casework. Here we describe a successfully optimized and validated approach to interpretation of LT-DNA samples.