ReviewLeptospira spp., a genus in the stage of diversity and genomic data expansion
Introduction
Leptospirosis is a widespread global zoonotic bacterial disease with a noteworthy human-animal-ecosystem interface (Petrakovsky et al., 2014). The disease is caused by pathogenic spirochetes of the genus Leptospira that has recently been redefined as composed by 66 different species that include more than 300 serovars (Guglielmini et al., 2019; Thibeaux et al., 2018a, Thibeaux et al., 2018b; Vincent et al., 2019). Leptospirosis occurred in all continents except Antarctica and its incidence is increasing predominantly in impoverished populations inhabiting developing countries with tropical climates (Adler and de la Peña Moctezuma, 2010) Recently, the global leptospirosis burden was estimated to cause more than 1 million severe cases and approximately 60,000 deaths per year, suggesting that the burden of leptospirosis is comparable or even higher than some other important neglected tropical diseases, including visceral leishmaniasis, severe dengue, echinococcosis, and cysticercosis (Costa et al., 2015; Picardeau, 2015). However, the disease burden is even today underestimated, due to the low warning in medical services, poor quality of surveillance data, the difficulty of diagnosis, and the poor sensitivity of the standard diagnostic tests (Cerqueira and Picardeau, 2009).
The disease can be acquired through direct contact with infected animals or indirectly through contact with urine-contaminated environments, where the main route of transmission is water. All mammals can be carriers of pathogenic leptospires, including pinnipeds and bats, but the presence of leptospires has also been described in other classes such as birds, amphibians, reptiles and possibly fish (Dietrich et al., 2015; Ellis, 2015; Jobbins and Alexander, 2015; Mgode et al., 2015). Asymptomatic reservoir animals, mainly rodents, maintained pathogenic leptospires in their renal tubules excreting the bacteria through the urine, contaminating the environment, where they can survive for months. For this reason, the three main tracks presenting transmission risk were summarized as water-based, rodent-borne and livestock/pet-borne infection (Levett, 2015). Climatic conditions strongly influence the transmission of leptospires, which require warm, humid conditions for survival. The bacteria persist for weeks to months following their excretion into water or moist soil (Haake and Levett, 2015).
Humans are considered a dead-end host and are highly susceptible to infection with many serovars (Mwachui et al., 2015). The disease may range from a very mild and self-limited illness to severe multisystem illness that includes high fever, renal failure, jaundice, and aseptic meningitis as well as a plethora of other signs and symptoms. Weil's syndrome, a severe leptospirosis manifestation, is characterized by renal failure, jaundice, and splenomegaly. However, since 1980s, the incidence of severe pulmonary hemorrhage leptospirosis (SPHL) has increased, carrying in many settings a mortality rate over 50%, and does not always coincide with the classic manifestations of severe leptospirosis. The reasons behind the emergence of SPHL are not yet known, but the emergence of new bacterial strains or the acquisition of virulence traits by strains in the endemic regions are among the main possibilities (Truong and Coburn, 2012).
Vaccines based on killed-whole leptospires from the most prevalent serovars circulating in a determined setting are available, both for animals and humans, but many of them present side effects or a short duration of efficacy and incomplete cross-protection (Picardeau, 2015).
For the above-mentioned reasons, the characterization and correct classification of Leptospira isolates is essential for a better understanding of the epidemiological properties of the disease. In the past ten years many molecular typing tools have been developed and applied to this field, such as Multilocus Sequence Typing (MLST) together with the availability of hundreds of new whole genome sequences that are shaping the understanding and structure of the entire genus.
The purpose of this review was to describe classic (serotyping), and post-genomic typing methods and the advances made in the application of new sequencing technologies. We also discuss themes of genomic structure and evolution of this important human pathogen.
Section snippets
Early taxonomic classification
Leptospira was first observed in a kidney tissue section from a patient by Stimson in 1907, who used Levaditi silver deposition staining technique to observe spirochetes in kidney tissue sections of a patient described as having died of yellow fever. The bacteria identified was called Spirochaeta interrogans due to its question mark appearance (Stimson, 1907). Years later, the first isolation and description of saprophytic and pathogenic Leptospira was provided by Wolbach and Binger and by
Molecular typing approaches
The goal of molecular epidemiology is not only to identify pathogens at different levels (species, genetic variants, subspecies, strains, clones) by means of molecular biology techniques but also to link this information with a relevant dataset that may include geographic distribution, clinical presentation, virulence, transmission scenarios, and treatment outcome, among others.
Trying to fit Leptospira spp. molecular epidemiology studies into this definition represents a true challenge since
Repetitive elements-based typing schemes
Like most bacteria, Leptospira genomes presents a substantial number of short repetitive DNA sequences with a structure of tandem repeats with polymorphisms existing in at least a fraction of them (Vergnaud and Pourcel, 2009). These structures enable a simple and rapid method based on a repeat-spanning PCR amplification followed by low-cost electrophoresis analysis of the length of PCR product.
The validation of the method on clinical isolates, serum or urine from patients and samples from
Multilocus sequence typing schemes
Every mentioned technique have been developed to identify isolates and localize disease outbreaks, but their lack of reproducibility and portability usually hindered pathogen epidemiology (Maiden, 2006). To overcome this problem, molecular microbiology took advantage of existing knowledge on bacterial evolution and population genetics, easy access and low cost of high-throughput Sanger sequencing, and internet databasing resources, to propose the nucleotide sequence-based approach of multilocus
Phylogenetic and molecular epidemiology analysis
Phylogenetic structure of monophyletic phylum spirochetes has been studied from 16S rRNA to genomic sequences (Gupta et al., 2013; Paster et al., 1991). Analysis of Leptospira genus by highly conserved 16S rRNA locus, single and multilocus typing revealed that this genus is highly diverse and was organized into three major clusters also consistent with pathogenicity (pathogenic, intermediate and saprophytic species) and in vitro growth characteristics. The first cluster includes 14 pathogenic
SNP typing
Single nucleotide polymorphisms (SNPs) typing has arisen taking advantage from whole-genome sequences. Unlike MLST that uses a single reference genome or core genes from a set of selected genomes, SNP typing is based on a high number of genomes to identify polymorphic sites between those genomes. These sites can serve as molecular markers for specific species and/or strains within species. Furthermore, SNPs can be used as string of SNPs. Those strings may lead to obtain evolutionary relatedness
Whole genome sequence typing approaches/analysis
Whole genome sequencing has already established as a robust typing method due to costs decline through new technologies and improved software and analysis tools. The clear main advantage of whole genome sequence typing (WGST) is the highest resolution of genealogical data that can help resolve complex evolutionary problems. However, large datasets can enhance systematic errors leading to statistically well-supported incorrect estimates (Pérez-Losada et al., 2013). Nowadays there are around 704
Conclusion and future perspectives
Leptospira genus is currently facing an exponential growth of new information regarding its diversity and genomics. This has led to a better understanding in many aspects such as the distribution of species linked to different hosts, environmental context or geographic spreading. The generation of this big data creates an unexplored scenario where it will be most interesting to ascertain whether different genetic variants are associated with different clinical manifestations and outcomes (Fig. 2
Declaration of Competing Interest
None.
Acknowledgements
We thank Dr. Angel Cataldi and Dr. Andrea Gioffré for their support, encouragement and critical reading of this manuscript.
This work was benefited from grants from the Fondo para la Investigación Científica y Tecnológica (FONCYT) (PICT 2012-0369) and from the Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) (PIP 11220090100666). K.C. and P.R. are CONICET fellows.
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