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Gene da putativa indolpiruvato descarboxilase de Phytomonas: caracterização, arranjo genômico, marcador molecular e origem filogenética. / Gene of the putative indolepyruvate decarboxylase of Phytomonas: characterization, genomic arrangement, molecular marker and phylogenetic origin.Susan Ienne da Silva 09 January 2008 (has links)
O gênero Phytomonas está associado a enfermidades devastadoras em plantações de interesse econômico, enquanto que outros vegetais parasitados não apresentam nenhum dano aparente. A seqüência-consenso de um agrupamento de ESTs de P. serpens determinado anteriormente apresentou alta similaridade com indolpiruvato descarboxilases (IPDCs) de fitobactérias e putativas piruvato/indolpiruvato descarboxilases de Leishmania spp. A enzima IPDC está na via de biossíntese do ácido 3-indolil acético, um dos hormônios vegetais mais importantes. Verificamos que o gene IPDC está presente em diversos isolados de Phytomonas, em múltiplas cópias (cerca de 104 cópias em P. serpens e 200 cópias em P. françai), contíguas e concentradas em uma banda cromossômica. Análises filogenéticas e amplificações por PCR com oligonucleotídeos degenerados apontam o clado Phytomonas-Leishmania como grupo-irmão de IPDCs de fitobactérias, sugerindo um processo de transferência horizontal anterior à separação dos tripanossomatídeos do clado que também inclui Leptomonas, Herpetomonas e Crithidia. / The genus Phytomonas is associated to devastating diseases in commercially important crops, whereas in other plant species no apparent damage is observed. The consensus sequence of one group of ESTs of P. serpens previously determined showed high similarity with indolepyruvate decarboxylases (IPDCs) from phytobacteria and putative pyruvate/indolepyruvate decarboxylases of Leishmania spp. The enzyme ipdC participates in the biosynthetic pathway of the indole-3-acetic acid, one of the most important plant hormones. We found that the IPDC gene is present in several Phytomonas isolates, in multiple copies (about 104 copies in P. serpens and 200 copies in P. françai, in tandem and concentrated in one chromosomal band. The phylogenetic analyses and data of PCR amplifications with degenerated primers point the clade Phytomonas-Leishmania as a sister group of IPDCs of phytobacteria, suggesting a process of horizontal gene transfer prior to the separation of the trypanosomatid clade that also includes Leptomonas, Phytomonas, Herpetomonas, Leishmania and Crithidia.
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Évolution génomique au sein d'une population naturelle de Streptomyces / Genomic evolution within a natural population of StreptomycesTidjani, Abdoul-Razak 03 December 2019 (has links)
Les Streptomyces sont des bactéries de la rhizosphère qui contribuent à la fertilité des sols (recyclage de la matière organique), et à la croissance et la santé des plantes. Elles possèdent parmi les plus grands génomes bactériens (12 Mb) et présentent une variabilité génétique importante. Cette variabilité connue au niveau interspécifique n’a jamais été abordée à l’échelle de la population, c’est-à-dire entre individus sympatriques appartenant à la même espèce (souches sœurs) au sein de la même niche écologique. L’objectif de ce travail est de rechercher cette diversité dans les populations de l’écosystème sol forestier, d’approcher sa dynamique et son rôle fonctionnel. Après séquençage et comparaison des génomes complets, nous avons observé une grande diversité génomique en termes de taille, de présence/absence d’éléments extrachromosomiques, mais également en terme de présence/absence de gènes le long du chromosome. Un grand nombre d’événements d’insertions et délétions (indels) comprenant de 1 à 241 gènes différencient les individus de la population. Au vu des liens phylogénétiques étroits entre les individus, l’ancêtre commun de la population est récent, aussi la diversité génomique résulterait d’un flux massif et rapide de gènes. La forte prévalence d’éléments conjugatifs intégrés dans la population suggère que la conjugaison est le moteur prépondérant de cette diversité génomique. La production différentielle de métabolites spécialisés (antibiotiques) a également été utilisée pour estimer l’impact de la diversité génétique sur le fonctionnement de la population. Nous avons pu montrer que cette production était liée à des gènes spécifiques de souches et qu’elle pouvait constituer un bien commun pour la population. Nous proposons que l’évolution rapide du génome participe au maintien des mécanismes de cohésion sociale chez ces bactéries du sol. / Streptomyces are rhizospheric bacteria that contribute to soil fertility (recycling of organic matter), plant growth and health. They have among the largest bacterial genomes (12 Mb) with a high genetic variability. The genome variability, observed at the interspecific level has never been addressed within a population, i.e. between sympatric individuals belonging to the same species (Conspecific strains) within the same ecological niche. The objective of this work was to investigate this diversity in the forest soil ecosystem, to estimate its dynamics and its potential functional roles. After sequencing and comparison of the complete genomes, we observed a wide genomic diversity in terms of size, presence/absence of extrachromosomal elements, but also in terms of presence/absence of genes along the chromosome. A large number of insertion and deletion events (indels) from 1 to 241 genes differentiate individuals in the population. Given the close phylogenetic relationship of these strains, the common ancestor of the population is recent, hence the genomic diversity would result from a massive and rapid gene flux. The high prevalence of integrative and conjugative elements in the population suggests that conjugation could act as a driving force of this diversity. Differential production of specialized metabolites (antibiotics) was also used to estimate the impact of genetic diversity on population’s ecology. We were able to show that this production was linked to strain specific genes and that it may constitute a « public good » for the population. We propose that the rapid evolution of the genome contributes to the maintenance of social cohesion mechanisms within these soil bacteria.
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Modelling the spread of plasmid-encoded antibiotic resistance in aquatic environments considering evolutionary modifications, individual heterogeneity and complex biotic interactionsZwanzig, Martin 21 February 2020 (has links)
Plasmids providing antibiotic resistance to their host bacteria pose a major threat to society, as antibiotics are often the only way to treat infectious diseases. Here the existence conditions of plasmids are investigated in an ecological framework with mathematical methods such as ordinary differential equations and individual-based models. It is shown how (i) the arise of different kinds of compensatory mutation, (ii) intra- and intercellular interactions of plasmids representing opposing plasmid lifestyles as well as (iii) a diverse plasmid community affect plasmid dynamics, community composition and persistence. The results indicate that evolutionary modifications and interactions between plasmids broaden the existence conditions of plasmids in a way that has not been recognized before, but explains their occurrence in nature. This includes that biotic interactions could maintain costly plasmid-encoded antibiotic resistance despite the absence of abiotic selection. These findings open a way to study remaining research questions related to the complexity of natural environments.:1. Introduction
2. Article I (published) – Mobile compensatory mutations promote plasmid survival
3. Article II (published) – Conjugative plasmids enable the maintenance of low cost non-transmissible plasmids
4. Article III (submitted) – The autopoiesis of plasmid diversity
5. Supervised Master thesis I – The propagation of antibiotic resistances considering migration between microhabitats
6. Supervised Master thesis II – Estimation of the pB10 conjugation rate in Escherichia coli combining laboratory experiments and modelling
7. Supervised research internship – Plasmid population dynamics considering individual plasmid copy numbers
8. Discussion / Plasmide, die Antibiotikaresistenzen an ihre Wirtsbakterien vermitteln, stellen eine große Bedrohung füur die Gesellschaft dar, weil Antibiotika oft die einzige Möglichkeit sind Infektionskrankheiten zu behandeln. In dieser Arbeit werden die Existenzbedingungen von Plasmiden aus einer ökologischen Perspektive mit mathematischen Methoden wie gewöhnlichen Differentialgleichungen und Individuen-basierten Modellen untersucht. Es wird gezeigt, wie (i) das Aufkommen verschiedener Kosten-kompensierender Mutationen, (ii) intra- und interzelluläre Wechselwirkungen von Plasmiden, die gegensätzliche Plasmidlebensstile repräsentieren, sowie (iii) eine vielfältige Plasmidgemeinschaft einen Einfluss auf die Dynamik, Gemeinschaftszusammensetzung und Persistenz von Plasmiden ausüben. Die Ergebnisse deuten darauf hin, dass evolutionäre Modifikationen und Wechselwirkungen zwischen Plasmiden die Existenzbedingungen von Plasmiden in einer Weise erweitern, die bisher nicht erkannt wurde, aber ihr Auftreten in der Natur erklärt. Dazu gehört auch, dass biotische Wechselwirkungen trotz fehlender abiotischer Selektion eine kostspielige Plasmid-vermittelte Antibiotikaresistenz aufrechterhalten könnten. Die Erkentnisse dieser Arbeit können dazu genutzt werden verbleibende Forschungsfragen anzugehen, die im Zusammenhang mit der Komplexität der natürlichen Umwelt stehen.:1. Introduction
2. Article I (published) – Mobile compensatory mutations promote plasmid survival
3. Article II (published) – Conjugative plasmids enable the maintenance of low cost non-transmissible plasmids
4. Article III (submitted) – The autopoiesis of plasmid diversity
5. Supervised Master thesis I – The propagation of antibiotic resistances considering migration between microhabitats
6. Supervised Master thesis II – Estimation of the pB10 conjugation rate in Escherichia coli combining laboratory experiments and modelling
7. Supervised research internship – Plasmid population dynamics considering individual plasmid copy numbers
8. Discussion
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The Importance of Bacterial Replichore BalanceCerit, Ender Efe January 2021 (has links)
In most bacterial pathogens, the genome is comprised within a single circular chromosome which is typically organized by the origin-to-terminus axis that divides the chromosome into equally-sized arms of replication (replichores). This similarity in length is presumed to be required for the synchronization of the two replication forks to meet at the terminus for efficient chromosome segregation. Transfer of genes between organisms, different from the route of parent to offspring, is called horizontal gene transfer (HGT). Acquiring foreign DNA through HGT is an important factor for the evolution of virulence in bacteria since it provides access to new features such as new toxins and antibiotic resistance genes. Chromosomes of many pathogenic bacteria such as Salmonella spp. carry such horizontally-transferred DNA fragments called pathogenicity islands. However, after such HGT events, the existing organization of chromosome can be disrupted and an imbalance between the two halves of the circular chromosome might occur. The predicted outcome of a replichore imbalance is the retardation of growth which in turn might result in the out-competition by other faster-growing bacteria in the environment. For that reason, we have investigated the association of the fitness cost and the replichore imbalance with isogenic strains with varying degrees of inter-replichore inversions. Our results showed that there is a correlation between the magnitude of replichore imbalance and fitness cost, for example 2.49-fold imbalance (one replichore 2.49-fold longer than the other) resulted in 11% reduction of fitness in comparison with balanced replichores. Therefore, our data suggest that the replichore imbalance could be utilized to predict the fitness cost of HGT events.
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Diversity of β-Lactamase Genes in Gram-Negative Soil Bacteria from Northwest OhioAlbaaj, Mohammed 26 November 2019 (has links)
No description available.
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AsymmeTree: A Flexible Python Package for the Simulation of Complex Gene Family HistoriesSchaller, David, Hellmuth, Marc, Stadler, Peter F. 15 January 2024 (has links)
AsymmeTree is a flexible and easy-to-use Python package for the simulation of gene family
histories. It simulates species trees and considers the joint action of gene duplication, loss, conversion,
and horizontal transfer to evolve gene families along the species tree. To generate realistic scenarios,
evolution rate heterogeneity from various sources is modeled. Finally, nucleotide or amino acid
sequences (optionally with indels, among-site rate heterogeneity, and invariant sites) can be simulated
along the gene phylogenies. For all steps, users can choose from a spectrum of alternative methods
and parameters. These choices include most options that are commonly used in comparable tools but
also some that are usually not found, such as the innovation model for species evolution. While output
files for each individual step can be generated, AsymmeTree is primarily intended to be integrated in
complex Python pipelines designed to assess the performance of data analysis methods. It allows the
user to interact with, analyze, and possibly manipulate the simulated scenarios. AsymmeTree is freely
available on GitHub.
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Host recognition strategies and evolution in phages infecting the marine bacterium Alteromonas sp.Gonzalez-Serrano, Rafael 22 March 2021 (has links)
Viruses constitute the vast majority of all biological entities in the biosphere and represent one of the biggest reservoirs of undetected genetic diversity on Earth. Of all the viral particles inhabiting the ocean, phages are the most abundant and can affect the overall microbial composition of marine ecosystems and the dynamics of global biogeochemical cycles. The interaction between prokaryotic cells and their phages is among the oldest and most intertwined host-parasite relationships on the planet. It has been extensively studied by culture, molecular biology, and experimental evolution. However, due to the difficulties of culture with environmental samples, only a few studies have analyzed the mechanisms of phage-host interaction in the marine environment. Here, we have studied the genes involved in viral host recognition and their evolutionary dynamics by focusing on two species of the marine copiotrophic bacterium Alteromonas and several phages infecting them. We described the genomic and morphological characterization of the first Alteromonas phage belonging to the Myoviridae family (Alteromonas myovirus V22) that was isolated in coastal waters of the Mediterranean Sea, and we identified its receptor-binding protein (RBP) used for host recognition by combining fluorescence microscopy and spectrometry. In addition, using size-exclusion chromatography, we showed how this protein required co-expression with a downstream protein to be functional, which later was identified as a new type of intermolecular chaperone crucial for RBP maturation. We also identified a conserved host recognition module in V22 and other unrelated alterophages belonging to different viral families and with completely different morphologies, suggesting horizontal gene transfer between the ancestors of these phages. Furthermore, we described the first coevolution study of a host-parasite system performed with Alteromonas using a metagenomics-like approach. Finally, we analyzed the micro- and macrodiversity of an alterophage population that was able to survive over a long period of time and showed remarkable genomic stability, indicating stable interactions over time between phage-host recognition structures. Overall, this study has contributed to extend the knowledge of known phage-host recognition mechanisms present in the marine ecosystem and has provided a first glimpse of the evolutionary dynamics in phages infecting Alteromonas.
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Two Problems in Computational GenomicsBelal, Nahla Ahmed 22 March 2011 (has links)
This work addresses two novel problems in the field of computational genomics. The first is whole genome alignment and the second is inferring horizontal gene transfer using posets. We define these two problems and present algorithmic approaches for solving them. For the whole genome alignment, we define alignment graphs for representing different evolutionary events, and define a scoring function for those graphs. The problem defined is proven to be NP-complete. Two heuristics are presented to solve the problem, one is a dynamic programming approach that is optimal for a class of sequences that we define in this work as breakable arrangements. And, the other is a greedy approach that is not necessarily optimal, however, unlike the dynamic programming approach, it allows for reversals. For inferring horizontal gene transfer, we define partial order sets among species, with respect to different genes, and infer genes involved in horizontal gene transfer by comparing posets for different genes. The posets are used to construct a tree for each gene. Those trees are then compared and tested for contradiction, where contradictory trees correspond to genes that are candidates of horizontal gene transfer. / Ph. D.
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Bacteriophages in the honey bee gut and amphibian skin microbiomes: investigating the interactions between phages and their bacterial hostsBueren, Emma Kathryn Rose 14 June 2024 (has links)
The bacteria in host-associated microbial communities influence host health through various mechanisms, such as immune stimulation or the release of metabolites. However, viruses that target bacteria, called bacteriophages (phages), may also shape the animal microbiome. Most phage lifecycles can be classified as either lytic or temperate. Lytic phages infect and directly kill bacterial hosts and can directly regulate bacterial population size. Temperate phages, in contrast, have the potential to undergo either a lytic cycle or integrate into the bacterial genome as a prophage. As a prophage, the phage may alter bacterial host phenotypes by carrying novel genes associated with auxiliary metabolic functions, virulence-enhancing toxins, or resistance to other phage infections. Lytic phages may also carry certain auxiliary metabolic genes, which are instead used to takeover bacterial host functions to better accommodate the lytic lifecycle. In either case, the ability to alter bacterial phenotypes may have important ramifications on host-associated communities. This dissertation focused on the genetic contributions that phages, and particularly prophages, provide to the bacterial members of two separate host-associated communities: the honey bee (Apis mellifera) gut microbiome and the amphibian skin microbiome. My second chapter surveyed publicly available whole genome sequences of common honey bee gut bacterial species for prophages. It revealed that prophage distribution varied by bacterial host, and that the most common auxiliary metabolic genes were associated with carbohydrate metabolism. In chapter three, this bioinformatic pipeline was applied to the amphibian skin microbiome. Prophages were identified in whole genome bacterial sequences of bacteria isolated from the skin of American bullfrogs (Lithobates catesbeianus), eastern newts (Notophthalmus viridescens), Spring peepers (Pseudacris crucifer) and American toads (Anaxyrus americanus). Prophages were additionally identified in publicly available genomes of non-amphibian isolates of Janthinobacterium lividum, a bacteria found both on amphibian skin and broadly in the environment. In addition to a diverse set of predicted prophages across amphibian bacterial isolates, several Janthinobacterium lividum prophages from both amphibian and environmental isolates appear to encode a chitinase-like gene undergoing strong purifying selection within the bacterial host. While identifying the specific function of this gene would require in vitro isolation and testing, its high homology to chitinase and endolysins suggest it may be involved in the breakdown of either fungal or bacterial cellular wall components. Finally, my fourth chapter revisits the honey bee gut system by investigating the role of geographic distance in bacteriophage community similarity. A total of 12 apiaries across a transect of the United States, from Virginia to Washington, were sampled and honey bee viromes were sequenced, focusing on the lytic and actively lysing temperate community of phages. Although each apiary possessed many unique bacteriophages, apiaries that were closer together did have more similar communities. Each bacteriophage community also carried auxiliary carbohydrate genes, especially those associated with sucrose degradation, and antimicrobial resistance genes. Combined, the results of these three studies suggest that bacteriophages, and particularly prophages, may be contributing to the genetic diversity of the bacterial community through nuanced relationships with their bacterial hosts. / Doctor of Philosophy / The microbial communities of animals, called "microbiomes", play important roles in the health of animals. The bacteria in these microbiomes can help strengthen the immune system, provide resistance to dangerous pathogens, and break down nutrients. However, bacteria are not alone in the microbiome; viruses are also present. Surprisingly, the vast majority of the world's viruses, even those living inside animals, infect bacteria. These viruses, called "bacteriophages" or "phages", can impact the bacterial communities in a microbiome. Phages can be grouped in to two broad categories based on lifecycle. Lytic phages kill the bacterial host directly after infection. Temperate phages, on the other hand, can either immediately kill the host like lytic phages or alternatively, become a part of the bacterial genome and live as prophages. Phages with both lifecycles can sometimes carry genes that, although not essential to the phage, may change the traits of the bacteria during infection. For example, some phages carry toxin genes, which bacteria use to cause disease in animals. Other phages might carry genes that provide antibiotic resistance or alter the metabolism of the infected bacteria. If a phage gene benefits the infected bacteria, the bacteria may begin interacting with its environment in a new way or may even become more abundant. Alternatively, phages that directly kill infected bacteria may have a negative effect on bacterial population sizes. To begin unraveling how phages influence bacterial species in microbiomes, I investigated two different animal systems: the Western honey bee (Apis mellifera) gut microbiome and the amphibian skin microbiome. I first identified prophages of several common bacterial species that reside in the honey bee gut (Chapter 2). Prophages were more common in certain bacterial species than others, and some possessed genes associated with the breakdown of sugars or pollen, suggesting they help honey bees process their food. Using similar techniques, I then identified prophages in bacteria isolated from the skin microbiomes of several amphibian species common in the eastern United States (American bullfrogs, Eastern newts, Spring peepers, and American toads) (Chapter 3). Most notably, the bacteria Janthinobacterium lividum may benefit from prophages that carry genes for potentially antifungal chitinase enzymes that destroy the fungal cell wall. Finally, I returned to the honey bee gut microbiome system by investigating how honey bee bacteriophage communities change over large geographic distances (Chapter 4). This study, which examined honey bees from 12 apiaries sampled from the east to west coast of the United States, looks primarily at lytic phage and temperate phage that are not integrated as prophage, but are instead seeking a bacterial host to infect. I found that nearby apiaries tended to have more similar communities of bacteriophages, compared to apiaries far away. Additionally, most bacteriophage communities carry genes associated with the breakdown of sugars like sucrose. Overall, these three studies show that phages, and especially prophages, contribute to the genetic landscape of the microbiome by broadly providing bacterial hosts with access to a diverse set of genes.
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Phylogénomique des ArchéesGrenier, Jean-Christophe 07 1900 (has links)
Les transferts horizontaux de gènes (THG) ont été démontrés pour jouer un rôle important dans l'évolution des procaryotes. Leur impact a été le sujet de débats intenses, ceux-ci allant même jusqu'à l'abandon de l'arbre des espèces. Selon certaines études, un signal historique dominant est présent chez les procaryotes, puisque les transmissions horizontales stables et fonctionnelles semblent beaucoup plus rares que les transmissions verticales (des dizaines contre des milliards). Cependant, l'effet cumulatif des THG est non-négligeable et peut potentiellement affecter l'inférence phylogénétique. Conséquemment, la plupart des chercheurs basent leurs inférences phylogénétiques sur un faible nombre de gènes rarement transférés, comme les protéines ribosomales. Ceux-ci n'accordent cependant pas autant d'importance au modèle d'évolution utilisé, même s'il a été démontré que celui-ci est important lorsqu'il est question de résoudre certaines divergences entre ancêtres d'espèces, comme pour les animaux par exemple.
Dans ce mémoire, nous avons utilisé des simulations et analyser des jeux de données d'Archées afin d'étudier l'impact relatif des THG ainsi que l'impact des modèles d'évolution sur la précision phylogénétique. Nos simulations prouvent que (1) les THG ont un impact limité sur les phylogénies, considérant un taux de transferts réaliste et que (2) l'approche super-matrice est plus précise que l'approche super-arbre. Nous avons également observé que les modèles complexes expliquent non seulement mieux les données que les modèles standards, mais peuvent avoir un impact direct sur différents groupes phylogénétiques et sur la robustesse de l'arbre obtenu. Nos résultats contredisent une publication récente proposant que les Thaumarchaeota apparaissent à la base de l'arbre des Archées. / Horizontal gene transfer (HGT) had been demonstrated to play an important role in the evolution of prokaryotes. Their impact on phylogeny was the subject of a heated debate, with some proposing that the concept of a species tree should be abandoned. The phylogeny of prokaryotes does contain a major part of the historical signal, because stable and functional horizontal transmissions appear to be by far rarer than vertical transmissions (tens versus billions). However, the cumulative effect of HGT is non-negligible and can potentially affect phylogenetic inference. Therefore, most researchers base their phylogenetic inference on a low number of rarely transferred genes such as ribosomal proteins, but they assume the selection of the model of evolution as less important, this despite the fact that it has been shown of prime importance for much less deep divergences, e.g. like animals.
Here, we used a combination of simulations and of real data from Archaea to study the relative impact of HGT and of the inference methods on the phylogenetic accuracy. Our simulations prove that (1) HGTs have a limited impact on phylogeny, assuming a realistic rate and (2) the supermatrix is much more accurate than the supertree approach. We also observed that more complex models of evolution not only have a better fit to the data, but can also have a direct impact on different phylogenetic groups and on the robustness of the tree. Our results are in contradiction to a recent publication proposing that the Thaumarchaeota are at the base of the Archaeal tree.
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