Campylobacter est responsable de la zoonose bactérienne d’origine alimentaire la plus fréquemment reportée en Europe. Cette bactérie étant ubiquitaire, les sources et voies d’infection de l’Homme sont nombreuses. Cependant, afin de diminuer l’incidence de la maladie, il est nécessaire d’identifier les principaux réservoirs impliqués dans les infections humaines. Pour cela, nous avons dans un premier temps investigué la présence de Campylobacter dans trois réservoirs animaux (volaille, bovin, animaux de compagnie), ainsi que la diversité génétique des isolats de C. jejuni, en comparaison à celle d’isolats cliniques, à l’aide des techniques MLST (Multilocus sequence typing) et CGF (Comparative Genomic Fingerprinting). Afin d’identifier l’origine des campylobactérioses avec précision et de compenser notamment les limites techniques de la MLST, 15 marqueurs génétiques ont été sélectionnés comme marqueurs potentiellement indicateurs de l’hôte, après analyse de plus de 800 génomes de C. jejuni. Par la suite, la capacité de la MLST, la CGF40 et des 15 marqueurs à identifier l’origine des campylobactérioses a été étudiée. Ainsi, les 15 marqueurs se sont révélés être particulièrement performants pour l’attribution de sources des campylobactérioses, suivis ensuite par la MLST, tandis que la CGF40 est apparue comme étant peu adaptée. A partir des données MLST et des 15 marqueurs génétiques, une implication majoritaire des volailles et des bovins a été mis en évidence en France, tandis que les animaux de compagnie et l’environnement (comprenant eau et oiseaux sauvages) étaient faiblement impliqués. Ceci permet ainsi de renforcer les efforts de recherche relatifs aux moyens de lutte contre Campylobacter menés dans ces réservoirs. Ce travail a également permis de mettre en évidence de potentielles spécificités nationales dans la dynamique de transmission de C. jejuni à l’Homme. / Campylobacter is the causal agent of the main bacterial foodborne gastroenteritis in Europe. Since Campylobacter is frequently found in animal reservoirs, sources of human infection and transmission routes are various. However, to decrease the human burden of campylobacteriosis, it is essential to quantify the relative importance of the several reservoirs in human infections. For this purpose, we assessed the contamination of chicken, cattle and pets by Campylobacter spp., and further characterized C. jejuni isolates using MLST (Multilocus Sequence Typing) and CGF (Comparative Genomic Fingerprinting) in comparison with French clinical isolates. Then, in order to identify the most likely origin of campylobacteriosis cases in France and overcome MLST limitations in source attribution, about 800 C. jejuni genomes were analyzed which resulted in the identification of 15 genes as promising host segregating markers for source attribution. Subsequently, we assessed the ability of MLST, CGF40 and the 15 host-segregating markers to identify the most likely origin of campylobacteriosis. The 15 host-segregating markers were the most powerful in source attribution, followed by MLST, while CGF40 appeared to be not suitable for source attribution in our study. Based on MLST and the 15 markers, assignments of clinical cases emphasize the significant implication of chicken and ruminant in human infection by Campylobacter, while pets and the environment (including water and wild birds) were slightly involved, reinforcing the interest to focus control strategies on livestock. Finally this work highlights potential national variations in the transmission dynamics of C. jejuni to human.

<p>Humans have altered natural landscape since the agricultural revolution, but it has been most destructive since human globalization and rampant industrialization in the last two centuries. These activities deteriorate and fragments natural habitat of many wild species that creates small isolated populations that lose genetic diversity over time. Loss of genetic diversity reduces the adaptive capacity of a population to respond to future environmental change and increases their extinction risks. Implementing strategies for wildlife conservation is a challenge primarily because of our lack of understanding of the biology of many wild species, the risks they are currently facing, and their evolutionary histories. With the advent of genomic and computational techniques, it is now possible to address these concerns. In my research, I used genomics to study the evolutionary history of the Montezuma Quail (<i>Cyrtonyx montezumae</i>) and created monitoring tools that can be readily applied by wildlife managers for its conservation. Montezuma Quail is a small gamebird found mostly in Mexico with peripheral populations existing in Arizona, New Mexico, and Texas. Montezuma Quail are going through species wide decline in the United States and are listed as vulnerable in the state of Texas due to their small population sizes and geographic isolation from rest of the range. My results show that Texas quail are genetically distinct and significantly less diverse than Arizona quail. Analysis of whole genome sequences from multiple individuals show that due to small population sizes and isolation, Texas quail are significantly more inbred and genetic drift is the major contributor for loss of genetic diversity we see today. Inbreeding is negatively impacting Texas quail as they carry more deleterious alleles within their genome that reduce fitness of the individuals. Demographic models predict that both Arizona and Texas populations were formed via founding bottlenecks around 20,000 years ago. Texas populations have maintained small population sizes since its split from the ancestral populations and are less efficient in purging new deleterious mutations that arise post-bottleneck. The inferences from my research not only carries direct implications for Montezuma Quail conservationists, but also illustrate the power of evolutionary genomics in implementing targeted management strategies for any species that face existential threats in today’s waning world. </p>

A compound-heterozygous variant occurs when a child inherits a variant from each parent, with these variants occurring at a different position within the same gene and on opposite homologous chromosomes. These inherited variants may result in two nonfunctional versions of the same gene. Compound-heterozygous variants cannot be identified unless a patients' DNA sequence data is phased. Phasing is a computationally demanding process that requires the use of multiple software tools in order to determine which nucleotide was inherited from which parent. First, in Chapter 1, we review the literature to better understand what research has been conducted on the role of compound-heterozygous variants in pediatric cancers and what methods are being used to identify them. In Chapter 2, we develop a pipeline to make it easier for us and other researchers to phase and identify compound-heterozygous variants using VCF files from trios or individuals. We then use this pipeline in Chapter 3 to survey the prevalence of compound-heterozygous variants across 7 pediatric disease types. We show the importance of identifying compound heterozygous and what information would be missed if this variant type was not included in study design. In Chapter 4, we develop a software tool to phase trio data using a combination of Mendelian inheritance logic and an existing phasing software program. We show that our software tool increases the total number of variants that can be phased. Finally, in Chapter 5, we use phased data of three nuclear families, each family having one child with pediatric cancer, to evaluate the potential to use inherited genomic variants to inform diagnostic decisions. The work contained within this dissertation shows the importance of not overlooking compound-heterozygous variants when trying to identify potentially causal genes in pediatric disease. In addition, this work provides software tools that are openly available for other researchers to use; these tools make it easier to phase patient DNA sequence data and to identify compound-heterozygous variants.

No description available.

Understanding the transmission dynamics of infectious diseases is important to well-informed public health policy, responsive infection control and individual patient management. The on-going revolution in whole-genome sequencing provides unprecedented resolution for detecting evidence of recent transmission and characterising population-level transmission dynamics. In this thesis, I develop and apply evolutionary approaches to investigating transmission, focusing on three globally important pathogens. Hepatitis C virus (HCV) is a major cause of liver disease affecting 150 million people and killing 350,000 annually. I conducted a meta-analysis of twentieth-century HCV epidemics, finding that the age of the epidemic can be predicted by genetic diversity. Using the coalescent, I fitted classic susceptible-infected (SI), susceptible-infected-susceptible (SIS) and susceptible-infected-recovered (SIR) epidemiological models. Most epidemics showed signatures of SI dynamics, but three, from Argentina, Hong Kong and Thailand, revealed complex SIR dynamics. Norovirus is the leading viral cause of diarrhoea, estimated to cost the NHS around £115 million annually. I analysed whole norovirus genomes via a stochastic transmission model, finding that up to 86% of hospital infection was attributable to transmission from another patient in the hospital. In contrast, the rate of new introductions to hospital by infected patients was extremely low (<0.0001%), underlining the importance of ward management during outbreaks. Campylobacter is the most commonly identified cause of bacterial gastroenteritis worldwide. I developed a zoonotic transmission model based on phylogeography approaches to test whether three strains previously associated with multiple host species were in fact aggregates of strongly host-restricted sub-strains, or genuine generalists. Members of the same strain isolated from different host species were often more closely related than those isolated from the same host species. I estimated 419, 389 and 31 zoonotic transmissions in ST-21, ST-45 and ST-828 respectively, strongly supporting the hypothesis that these strains are adapted to a generalist lifestyle.

La leptospirose est une zoonose d’importance médicale majeure dans les îles du Sud-Ouest de l’Océan Indien (SOOI) dont certaines enregistrent des incidences parmi les plus élevées au monde. Durant la dernière décennie, les données épidémiologiques moléculaires obtenues avec une approche « One Health » ont mis en évidence une grande diversité de lignées de leptospires ainsi que différentes chaines de transmission sur les différentes îles de la région. Les données moléculaires montrent la présence de leptospires pathogènes et de réservoirs animaux introduits ou endémiques de cette région. La distribution de ces différentes lignées de leptospires est associée à (i) un contraste épidémiologique incluant des différences dans la sévérité des cas humains et (ii) des niveaux de spécificité d’hôtes différents selon les leptospires considérés. Plus particulièrement, les leptospires endémiques du SOOI semblent être moins pathogènes chez les humains et montrent une plus forte affinité pour leur réservoir que les leptospires cosmopolites. Pour compléter nos connaissances sur l’histoire évolutive des leptospires du SOOI, nous avons produit des données provenant de chauves-souris de l’Afrique de l’Est. Ces données confirment la spécificité de certaines lignées de leptospires envers leurs hôtes chiroptères et suggèrent que les chauves-souris d’Afrique ont colonisé Madagascar tout en étant infectées par leurs leptospires. Afin de mieux comprendre le rôle des différents leptospires dans l’épidémiologie régionale de la leptospirose, nous avons mesuré la pathogénicité de trois souches de leptospires retrouvées dans cette région à l’aide d’un modèle hamster. Des souches de Leptospira mayottensis et Leptospira borgpetersenii ont été isolés respectivement de Tenrec ecaudatus (tenrec) et Triaenops menamena (chauve-souris), deux mammifères endémiques du SOOI. Une souche de Leptospira interrogans, dont le génotype est retrouvé dans la majorité des cas humains graves à la Réunion, a été isolée de Rattus rattus (rat). En cohérence avec les données épidémiologiques humaines de Mayotte et de La Réunion, les leptospires endémiques se sont révélées être significativement moins pathogènes que la souche L. interrogans. La spécificité d’hôte des deux souches isolées de mammifères endémiques a été mise à l’épreuve par des infections expérimentales de Rattus norvegicus, connu comme un réservoir important de leptospires. Les rats ont été infectés avec les trois isolats précédemment utilisés. Les rats infectés par les souches endémiques n’ont pas développé d’infection rénale chronique contrairement à la souche cosmopolite. Ces résultats montrent que la spécificité d’hôte des leptospires endémiques observée in natura est probablement due à des facteurs génétiques plutôt qu’à des facteurs écologiques, comme un manque de contacts physiques entre les réservoirs animaux endémiques et introduits. Enfin, le séquençage complet de souches de leptospires du SOOI a été réalisé afin d’identifier des caractéristiques génétiques pouvant être associées à la pathogénicité et la spécificité d’hôte des leptospires pathogènes. Une classification précise de souches de leptospires du SOOI a pu être réalisée sur la base des génomes complets. La comparaison de ces génomes a permis d’identifier des gènes spécifiques à un groupe ou une espèce de leptospires. Cependant des modifications génomiques complexes rendent difficiles l’identification de caractéristiques génomiques responsables d’un phénotype particulier tel que la virulence ou la spécificité d’hôte. / Leptospirosis is a zoonosis of main medical concern on several islands of southwestern Indian Ocean (SWIO), some of which recording among the highest human incidence worldwide. Over the last decade, molecular epidemiology investigations carried out under a One Health framework have revealed a wide variety of Leptospira lineages and distinct transmission chains throughout the islands of the region. These islands are home to pathogenic Leptospira lineages and animal reservoirs that are either introduced or endemic to the SWIO region. Interestingly, the regional distribution of Leptospira diversity is associated with (i) a contrasted severity of human cases and (ii) distinct levels of specificity of Leptospira towards their mammalian hosts. Specifically, endemic Leptospira appear less pathogenic in humans and display higher specificity towards their animal reservoirs than their cosmopolitan counterparts. To complete the dataset of Leptospira diversity in the SWIO region, we produced data from bats of eastern Africa. Results support the previously observed pattern of host specificity of Leptospira towards their bats hosts and, overlaid upon the biogeographic history of Malagasy bats, suggest that these volant mammals have colonized Madagascar from continental Africa while hosting pathogenic Leptospira. To better understand the role of distinct Leptospira lineages in the contrasted epidemiology observed in the SWIO, we investigated the pathogenicity of three Leptospira isolates from this region using a hamster model. Leptospira mayottensis and Leptospira borgpetersenii isolates were obtained from Tenrec ecaudatus (tenrec) on Mayotte and Triaenops menamena (bat) in Madagascar, respectively, both mammals endemic to the SWIO region. A Leptospira interrogans strain, which genotype has been reported in the majority of human acute cases on La Réunion, was isolated from the introduced Rattus rattus (rat). In keeping with a distinct severity of the disease on Mayotte and La Réunion, endemic bat-borne and tenrec-borne Leptospira were significantly less pathogenic than the control cosmopolitan rat-borne isolate. The host specificity of the isolates obtained from endemic hosts was addressed using experimental infection of Rattus norvegicus, a known reservoir of pathogenic Leptospira. This animal model was challenged with all three isolates and mostly failed in supporting chronic infection with bat-borne and tenrec-borne Leptospira. Hence, the strong host-specificity of endemic Leptospira toward their hosts observed in the wild likely results from genetic determinants shaped by long-term co-evolutionary processes rather than from ecological constraints such as a lack of physical contact between introduced and endemic animal reservoirs. Finally, we undertook full genome sequencing of regional strains in order to highlight genomic features that may be associated with virulence and host specificity. Whole genome sequencing allowed the accurate classification of Leptospira isolates obtained on SWIO islands. Comparative genomics allowed to identify genes specific to a group or species of Leptospira but complex changes in Leptospira genome make difficult the identification of genomic elements responsible for specific traits such as virulence and host specificity.

Next-generation sequencing technology provides high-resolution data for epidemiological surveillance of bacterial pathogens on local and global scales. This approach has been used for many species including Methicillin Resistant Staphylococcus aureus (MRSA). In this thesis I demonstrate the utility of these data for understanding the spread of the globally disseminated clone MRSA ST239. I focus both on local and national-level epidemiology through sequence data of 71 isolates recovered from four hospitals representing three cities in Turkey; Istanbul (x2). Ankara and Izmir. I analyse whole genome sequence data from a further 33 ST239 isolates from global sources. These data were combined with previously published data for phylogenetic analysis based only on the core genome. I demonstrate how transmission events can be inferred from this approach on multiple levels; within hospital, between hospitals and between countries. The data pointed to a European origin of ST239, and independent introductions from Europe to Turkey, South America and East Asia. I also demonstrate how whole genome sequence data can be used to develop bespoke PCR assays, based on phage variation, for rapid local epidemiology. Finally, I consider how the sequence data might be used to explain variation in virulence potential, and describe the distribution and transfer of an important phage-borne virulence determinant, sasX, within Europe. Finally, I identified a single isolate with very strong biofilm forming ability likely due to the over-expression of the important adhesion SasG.

Découverte il y a plus d’un siècle, Salmonella n’a cessé d’intriguer les chercheurs. Sa capacité à résister à de nombreux antibiotiques est de plus en plus préoccupante. La surveillance de ce pathogène repose sur un typage rapide et discriminant de façon à identifier le plus précocement possible les sources alimentaires contaminées. Les méthodes classiques sont longues, lourdes et non automatisables. Comprendre l’émergence et l’évolution des Salmonella est la clé pour éradiquer ce pathogène resté l’une des premières causes de diarrhées bactériennes d’origine alimentaire dans le monde. Au cours des dernières décennies, des progrès spectaculaires ont été menés dans le monde de la microbiologie avec l’arrivée des séquenceurs de paillasse, passant du traitement d’une dizaine à des centaines de millions de séquences. L’accès facilité aux séquences génomiques et aux outils qui leurs sont dédiés sont devenus une nécessité. Les outils actuellement disponibles ne sont pas assez discriminants pour sous-typer S. enterica sérotype Typhimurium (STM), sérotype prédominant de Salmonella. Nous avons voulu lors de ce travail, montrer l’intérêt du séquençage entier du génome, pour l’étude génomique de Salmonella. (1) Après avoir séquencé plus de 300 génomes de STM, nous avons mis au point un outil de sous-typage in silico de ce sérotype, basé sur le polymorphisme des CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats). La surveillance à haut débit des salmonelloses a été validée en routine sur plus de 800 génomes. L’étude de la coévolution entre le chromosome (SNPs) et les régions CRISPR ont permis d’établir une nomenclature définissant les différentes populations de STM. (2) L’analyse génomique de 280 souches historiques de STM a montré que les gènes de bêta-lactamase conférant une résistance à l’ampicilline et portés par des plasmides étaient répandus chez STM à la fin des années 1950, bien avant l’utilisation de cet antibiotique. La présence de la pénicilline G dans le milieu agricole où ces composés ont été utilisés en tant que promoteurs de croissance ont pu conduire à la sélection des premières souches résistantes à l’ampicilline. (3) L’étude phylogénétique d’un génome issu du cadavre d’une femme décédée il y a plus de 800 ans, probablement à cause de la fièvre entérique et de 219 génomes historiques et récents des sérotypes Paratyphi C, Choleraesuis et Typhisuis ont montré que leurs génomes étaient très similaires au cours des 4000 dernières années. Ainsi, la combinaison des approches génotypique et phylogénétique ont accru nos connaissances sur l’évolution de ce pathogène.Mots clés : Séquençage entier du génome, surveillance épidémiologique, CRISPR, SNP, résistance antibiotique, phylogénie, évolution / Over a century has passed since the discovery of Salmonella and yet, this pathogen still intrigues researchers. Its ability to withstand many antibiotics is of increasing concern. The monitoring of this pathogen is based on a rapid and discriminatory typing to identify the sources of contaminated food as early as possible. The conventional methods are long, heavy and non-automatable. Understanding the emergence and evolution of Salmonella is the key to eradicate this pathogen, which has remained one of the leading causes of foodborne bacterial diarrhea in the world. During the last decades, spectacular progress has been made in the world of microbiology with the arrival of workbench sequencers, passing from a dozen to hundreds of millions of sequences processed. Facilitated access to numerous genome sequences and dedicated tools are mandatory. Tools currently available are not sufficiently discriminating for the subtype of S. enterica serotype Typhimurium, a predominant serotype of Salmonella. Throughout this study, we showed the interest of whole genome sequencing, a multidisciplinary tool, for the genomic study of Salmonella. (1) After sequencing over 300 S. enterica serotype Typhimurium genomes, we have developed an in silico subtyping tool for this serotype, based on the CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) polymorphism. High-throughput microbiological monitoring of salmonellosis has been routinely validated on over 800 genomes. The study of coevolution between the chromosome (SNPs of the core genome) and the two CRISPR regions made it possible to establish a nomenclature defining the different populations of this serotype. (2) Genomic analysis of 280 historical strains of S. enterica serotype Typhimurium showed that plasmids carrying beta-lactamase genes, which confer resistance to ampicillin, were widespread within this serotype in the late 1950s, years before ampicillin was first used for clinical purposes. The presence of penicillin G in the farming environment where these compounds were used as growth promoters, may have led to the selection of the first ampicillin-resistant strains. (3) The phylogenetic study of a genome from the corpse of a young woman who died over 800 years ago, probably due to enteric fever, and 219 historical and recent genomes of the serotypes Paratyphi C, Choleraesuis and Typhisuis have shown, despite the differences in host specificity, that their genomes were very similar over the past 4000 years. Thus, the combination of genotypic and phylogenetic approaches has increased our knowledge of the evolution of this pathogen.Key words: Whole genome sequencing, epidemiological monitoring, CRISPR, SNP, antibiotic resistance, phylogeny, evolution

Leishmaniasis is a human and animal disease caused by digenetic parasites of the genus Leishmania, which is now divided into 4 subgenera - L. (Leishmania), L. (Viannia), L. (Sauroleishmania) and L. (Mundinia). Subgenus Mundinia was established in 2016 and consists of 5 species - L. enriettii and L. macropodum are parasites of wild mammals and L. martiniquensis, L. orientalis and unnamed L. sp. from Ghana are infectious to humans. Mundinia are geographically widely dispersed, their distribution covers all continents, except of Antarctica. Despite phlebotomine sand flies (Diptera: Psychodidae) also biting midges (Diptera: Ceratopogonidae) are supposed to be involved in transmission of these species, which is a unique feature for this subgenus. But there is little to no current information on natural reservoir hosts and vector species for any Mundinia species. In this thesis we tested possible vectors and potential model organisms (Guinea-pigs) and reservoir hosts of Mundinia species by experimental infections. We used 3 sand fly species sharing geographical distribution with respective Mundinia species and available in our laboratory for experimental infections. Sand flies from Australia had never been colonised so we used the permissive vector Lu. migonei for testing development of L. macropodum....

The soybean crop is one of the main agricultural crops, with high global economic relevance. The large area under soybean cultivation in Brazil, including the incorporation of new areas in the northern and midwestern regions, mostly under monoculture and non-tillage system, has been affected the prevalence and the intensity of diseases. Among these, one of most prominent is anthracnose, mainly associated with the fungal species Colletotrichum truncatum. Knowledge of the genetic structure of plant pathogen populations can be used to infer their life histories and the evolutionary processes that shape populations in the agroecosystems, which can help to implement effective disease management strategies. However, the genetic structure of C. truncatum populations associated with soybean remains unknown. We collected C. truncatum isolates from 10 sites representing two of main areas of soybean producing in Brazil and used microsatellite markers and whole-genome sequencing to investigate the population biology and evolutionary history of this important pathogen. The multilocus microsatellite typing of 237 isolates revealed high gene and haplotypic diversity within populations, as well low genetic differentiation and sharing of multilocus haplotypes among populations and regions. In addition, three distinct genetic clusters were detected, coexisting in syntopy in the soybean fields, without evidence of admixture between them. Such finding suggesting that Brazilian C. truncatum populations resulted from at least three founder events, which led to three genetic lineages that spread throughout the country. However, the genetic makeup of these lineages remains unknow, and their extreme geographic proximity raises the question of the maintenance of their genetic integrity in the face of admixture. In order to gain insights into the evolutionary history of C. truncatum lineages and to investigate in more details the possibility of a lack of genetic exchanges between them, we employed a population genomic approach. For that, we produced a draft genome sequence of a typical strain of the species associated with soybean anthracnose, which was used as the reference genome. Eighteen representative C. truncatum isolates from the three lineages were submitted to whole genome sequencing, aligned against the reference genome, and variants were identified. Our population genomic analyzes revealed that the genetic structure of C. truncatum pathogen causing soybean anthracnose is formed by three deeply divergent lineages with levels of genetic diversity consistent with repeated introduction events for each lineage. We also found evidence for sexual recombination within and between lineages, with multiples isolates displaying signatures of admixture. Our findings support a scenario in which the three lineages initially diverged in allopatry before experiencing hybridization following secondary contact. Monitoring of the pathogen\'s diversity over time is needed to reveal whether these lineages maintain or fuse, which can impact the disease control methods currently employed. / A soja é uma das principais culturas agrícolas, com alta relevância econômica global. A grande área sob cultivo de soja no Brasil, incluindo a incorporação de novas áreas nas regiões norte e centro-oeste, principalmente sob monocultura e plantio direto, tem afetado a prevalência e a intensidade das doenças. Entre elas, uma das mais proeminentes é a antracnose, principalmente associada à espécie fúngica Colletotrichum truncatum. O conhecimento da estrutura genética das populações de patógenos de plantas pode ser usado para inferir suas histórias de vida e os processos evolutivos que moldam as populações nos agroecossistemas, o que pode ajudar a implementar estratégias eficazes de manejo da doença. No entanto, a estrutura genética das populações de C. truncatum associadas à soja permanece desconhecida. Coletamos isolados de C. truncatum em 10 áreas, representando duas principais regiões produtoras de soja no Brasil. Utilizamos marcadores microssatélites e sequenciamento do genoma completo para investigar a biologia populacional e a história evolutiva desse importante patógeno. A tipagem de microssatélites multilocus de 237 isolados revelou alta diversidade genética e haplotípica nas populações, bem como baixa diferenciação genética e compartilhamento de haplótipos entre populações e regiões. Além disso, foram detectados três grupos genéticos distintos, coexistindo nas mesmas áreas, sem evidência de mistura entre eles. Isto sugere que as populações C. truncatum no Brasil resultaram de pelo menos três eventos fundadores, o que levou á formação das três linhagens genéticas que se espalharam pelo país. No entanto, a composição genética dessas linhagens permanece desconhecida, e sua extrema proximidade geográfica levanta a questão sobre a manutenção de sua integridade genética em face a mistura entre elas. A fim de analisar a história evolutiva das linhagens de C. truncatum e investigar a possibilidade de ausência de trocas genéticas entre elas, empregamos uma abordagem genômica populacional. Para isso, produzimos uma versão preliminar do genoma completo de um isolado típico da espécie, o qual foi utilizado como genoma de referência. Dezoito isolados representativos das três linhagens foram submetidos ao sequenciamento completo, alinhados ao genoma de referência, e variantes foram identificados. Nossas análises genômicas populacionais revelaram que a estrutura genética do patógeno é formada por três linhagens profundamente divergentes, com níveis de diversidade consistentes com repetidos eventos de introdução para cada linhagem. Também encontramos evidências de recombinação sexual dentro e entre linhagens, com múltiplos isolados apresentando assinaturas de mistura. Nossas descobertas sugerem um cenário no qual as três linhagens divergiram inicialmente em alopatria antes de experimentar hibridação, após contato secundário. O monitoramento da diversidade do patógeno ao longo do tempo é necessário para revelar se essas linhagens se mantêm geneticamente separadas ou se fundem, o que pode afetar os métodos de controle da doença atualmente empregados.