RESUMO
Leptospirosis is a zoonotic disease which global burden is increasing often related to climatic change. Hundreds of whole genome sequences from worldwide isolates of Leptospira spp. are available nowadays, together with online tools that permit to assign MLST sequence types (STs) directly from raw sequence data. In this work we have applied R7L-MLST to near 500 genomes and strains collection globally distributed. All 10 pathogenic species as well as intermediate were typed using this MLST scheme. The correlation observed between STs and serogroups in our previous work, is still satisfied with this higher dataset sustaining the implementation of MLST to assist serological classification as a complementary approach. Bayesian phylogenetic analysis of concatenated sequences from R7-MLST loci allowed us to resolve taxonomic inconsistencies but also showed that events such as recombination, gene conversion or lateral gene transfer played an important role in the evolution of Leptospira genus. Whole genome sequencing allows us to contribute with suitable epidemiologic information useful to apply in the design of control strategies and also in diagnostic methods for this illness.
Assuntos
Leptospira/classificação , Leptospira/genética , Tipagem de Sequências Multilocus/métodos , Teorema de Bayes , Evolução Molecular , Genoma Bacteriano , Filogenia , Sequenciamento Completo do GenomaRESUMO
Strongyloides stercoralis is a nematode that causes severe infections in immunocompromised patients. The low parasitic burden of chronically infected patients makes diagnosis difficult to achieve by conventional methods. Here, an in-house (IH) method for the isolation of parasite DNA from stools and a PCR assay for the molecular diagnosis of S. stercoralis were optimized. DNA yield and purity improved with the IH method which included a step of incubation of stool samples with a glycine-SDS buffer and mechanical disruption prior to DNA extraction. For the PCR assay, the addition of bovine serum albumin was required to neutralize inhibitors present in stool. The analytical sensitivity of the PCR using DNA as template, isolated with the IH method, was superior to the commercial one. This study demonstrates that a combined method that adds the step of glycine-SDS buffer incubation plus mechanical disruption prior to DNA isolation with the commercial kit increased PCR sensitivity to levels of the IH method. Finally, our assay was tested on 17 clinical samples. With the IH method for DNA isolation, a S. stercoralis specific band was detected by PCR in the first stool sample in all patients (17/17), while with the commercial kit, our S. stercoralis-specific band was only observed in 7 samples. The superior efficiency of the IH and combined methods over the commercial kit was demonstrated when applied to clinical samples with low parasitic burden. These results show that the DNA extraction procedure is a key to increase sensitivity of the S. stercoralis PCR assay in stool samples. The method developed here could help to improve the molecular diagnosis of S. stercoralis.