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Asymptomatische Bakteriurie (ABU) stellt eine bakterielle Infektion der Harnblase über einen langen Zeitraum dar, die häufig von Escherichia coli hervorgerufen wird, ohne dass typische Symptome einer Harnwegsinfektion auftreten. Um die Charakteristika von ABU E. coli Isolaten genauer zu untersuchen, wurden die Geno- und Phänotypen von 11 ABU-Isolaten verglichen. Außerdem wurden in mehreren aufeinanderfolgenden in vivo-Reisolaten des Modell-ABU Stammes 83972 die Veränderungen im Transkriptom, Proteom und Genom während einer langfristigen Persistenz in der menschlichen Blase charakterisiert. Schließlich wurde der Effekt des menschlichen Wirtes auf die bakterielle Adaptation durch einen Vergleich von in vitro- mit in vivo-kultivierten Stämmen abgeschätzt. ABU-Isolate stellt eine heterogene Gruppe von Organismen dar. Diese können den vier phylogenetischen Hauptgruppen von E. coli sowie unterschiedlichen klonalen Gruppen zugeordnet werden. Dementsprechend unterscheiden sie sich erheblich bezüglich der Zusammensetzung des Genomes, der Genomgröße und auch der Ausstattung mit UPEC-typischen Virulenz-assoziierten Genen. Multi-Lokus-Sequenz-Typisierung legt nahe, dass bestimmte ABU Stämme sich durch Genomreduktion aus UPEC Stämmen entwickelt haben, die eine Harnwegsinfektion mit charakteristischen Symptomen auslösen konnten. Folglich erlaubt die hohe Genomplastizität von E. coli keine generalisierte Betrachtung einzelner Isolate eines Klons. Genomreduktion über Punktmutationen, Genom-Reorganisation und Deletionen resultierte in der Inaktivierung einiger Gene, die für einige UPEC Virulenz-Faktoren kodieren. Dies stützt die Vorstellung, dass eine verminderte bakterielle Aktivierung der Entzündung der Wirtsschleimhaut den Lebensstil von ABU (bei diesen E. coli-)Isolaten fördert. Genregulation und genetische Diversität sind Strategien, die es Bakterien ermöglichen unter sich fortlaufend ändernden Bedingungen zu leben bzw. zu überleben. Um die anpassungsbedingten Veränderungen bei einem langfristigen Wachstum in der Blase zu untersuchen, wurden aufeinanderfolgende Reisolate, denen eine langfristige in vivo-Kolonisierung im menschlichen Wirt beziehungsweise eine in vitro-Kultivierung vorausgegangen ist, im Hinblick auf Veränderungen Genexpression und Genomorganisation analysiert. In diesem Zusammenhang konnte gezeigt werden, dass E. coli in der Lage ist, seine metabolischen Netzwerke verschiedenen Wachstumsbedingungen anzupassen und individuelle bakterielle Kolonisierungsstrategien entwickeln kann. Transkriptom- und Proteom-Analysen zeigten verschiedene metabolische Strategien zur Nährstoffbeschaffung und Energieproduktion bei untersuchten in vivo-Reisolaten vom Stamm 83972, die es ihnen ermöglichen, den Wirt zu kolonisieren. Das Zurückgreifen auf D-Serin, Deoxy- und Ribonucleoside sowie die bidirektionale Umwandlung zwischen Pentose und Glucuronat waren hoch-regulierte Stoffwechselwege, die die in vivo-Reisolate mit zusätzlicher Energie für ein effizientes Wachstum in der Blase versorgen. Zudem wurden in dieser Studie die Netzwerke für eine Reaktion auf Abwehrmechanismen des Wirtes erforscht: Erstmals wurde hier die Rolle der Klasse-III-Alkoholdehydrogenase AdhC, bekannt durch ihre Bedeutung bei der Entgiftung von Stickstoffmonoxid, bei der Wirtsantwort während einer asymptomatischen Bakteriurie gezeigt. Aufeinanderfolgende in vivo- und in vitro-Reisolate vom Stamm 83972 wurden ebenfalls bezüglich ihrer Genomstruktur analysiert. Einige Veränderungen in der Genomstruktur der aufeinanderfolgenden Reisolate, die von einer humanen Kolonisierungsstudie stammen, implizieren die Bedeutung einer Interaktion der Bakterien mit dem Wirt bei der Mikroevolution der Bakterien. Dagegen war die Genomstruktur von Reisolaten eines langfristigen in vitro-Kultivierungsexperiments, bei dem sich der Stamm 83972 ohne Wirtskontakt vermehrt hat, nicht von Veränderungen betroffen. Das legt nahe, dass die Immunantwort eine Genomplastizität fördert und somit eine treibende Kraft für den ABU Lebensstil und die Evolution im Harnwegstrakt ist.
In our analysis I was interested in the gene duplications, with focus on in-paralogs. In-paralogs are gene duplicates which arose after species split. Here I analysed the in-paralogs quantitatively, as well as qualitatively. For quantitative analysis genomes of 21 species were taken. Most of them have vastly different lifestyles with maximum evolutionary distance between them 1100 million years. Species included mammals, fish, insects and worm, plus some other chordates. All the species were pairwised analysed by the Inparanoid software, and in-paralogs matrix were built representing number of in-paralogs in all vs. all manner. Based on the in-paralogs matrix I tried to reconstruct the evolutionary tree using in-paralog numbers as evolutionary distance. If all 21 species were used the resulting tree was very far from real one: a lot of species were misplaced. However if the number was reduced to 12, all of the species were placed correctly with only difference being wrong insect and fish clusters switched. Then to in-paralogs matrix the neighbour-net algorithm was applied. The resulting "net" tree showed the species with fast or slow duplications rates compared to the others. We could identify species with very high or very low duplications frequencies and it correlates with known occurrences of the whole genome duplications. As the next step I built the graphs for every single species showing the correlation between their in-paralogs number and evolutionary distance. As we have 21 species, graph for every species is built using 20 points. Coordinates of the points are set using the evolutionary distance to that particular species and in-paralogs number. In mammals with increasing the distance from speciation the in-paralogs number also increased, however not in linear fashion. In fish and insects the graph close to zero is just the same in mammals' case. However, after reaching the evolutionary distances more than 800 million years the number of inparalogs is beginning to decrease. We also made a simulation of gene duplications for all 21 species and all the splits according to the fossil and molecular clock data from literature. In our simulation duplication frequency was minimal closer to the past and maximum in the near-present time. Resulting curves had the same shape the experimental data ones. In case of fish and insect for simulation the duplication rate coefficient even had to be set negative in order to repeat experimental curve shape. To the duplication rate coefficient in our simulation contribute 2 criteria: gene duplications and gene losses. As gene duplication is stochastical process it should always be a constant. So the changing in the coefficient should be solely explained by the increasing gene loss of old genes. The processes are explained by the evolution model with high gene duplication and loss ratio. The drop in number of in-paralogs is probably due to the BLAST algorithm. It is observed in comparing highly divergent species and BLAST cannot find the orthologs so precisely anymore. In the second part of my work I concentrated more on the specific function of inparalogs. Because such analysis is time-consuming it could be done on the limited number species. Here I used three insects: Drosophila melanogaster (fruit y), Anopheles gambiae (mosquito) and Apis mellifera (honeybee). After Inparnoid analyses and I listed the cluster of orthologs. Functional analyses of all listed genes were done using GO annotations and also KEGG PATHWAY database. We found, that the gene duplication pattern is unique for each species and that this uniqueness is rejected through the differences in functional classes of duplicated genes. The preferences for some classes reject the evolutionary trends of the last 350 million years and allow assumptions on the role of those genes duplications in the lifestyle of species. Furthermore, the observed gene duplications allowed me to find connections between genomic changes and their phenotypic manifestations. For example I found duplications within carbohydrate metabolism rejecting feed pattern adaptation, within photo- and olfactory-receptors indicating sensing adaptation and within troponin indicating adaptations in the development. Despite these species specific differences, found high correlations between the independently duplicated genes between the species. This might hint for a "pool" of genes preferentially duplicated. Taken together, the observed duplication patterns reject the adaptational process and provide us another link to the field of genomic zoology.
Bees have had an intimate relationship with humans for millennia, as pollinators of fruit, vegetable and other crops and suppliers of honey, wax and other products. This relationship has led to an extensive understanding of their ecology and behavior. One of the most comprehensively understood species is the Western honeybee, Apis mellifera. Our understanding of sex-specific investment in other bees, however, has remained superficial. Signals and cues employed in bee foraging and mating behavior are reasonably well understood in only a handful of species and functional adaptations are described in some species. I explored the variety of sensory adaptations in three model systems within the bees. Females share a similar ecology and similar functional morphologies are to be expected. Males, engage mainly in mating behavior. A variety of male mating strategies has been described which differ in their spatiotemporal features and in the signals and cues involved, and thus selection pressures. As a consequence, males’ sensory systems are more diverse than those of females. In the first part I studied adaptations of the visual system in honeybees. I compared sex and caste-specific eye morphology among 5 species (Apis andreniformis, A. cerana, A. dorsata, A. florea, A. mellifera). I found a strong correlation between body size and eye size in both female castes. Queens have a relatively reduced visual system which is in line with the reduced role of visual perception in their life history. Workers differed in eye size and functional morphology, which corresponds to known foraging differences among species. In males, the eyes are conspicuously enlarged in all species, but a disproportionate enlargement was found in two species (A. dorsata, A. florea). I further demonstrate a correlation between male visual parameters and mating flight time, and propose that light intensities play an important role in the species-specific timing of mating flights. In the second study I investigated eye morphology differences among two phenotypes of drones in the Western honeybee. Besides normal-sized drones, smaller drones are reared in the colony, and suffer from reduced reproductive success. My results suggest that the smaller phenotype does not differ in spatial resolution of its visual system, but suffers from reduced light and contrast sensitivity which may exacerbate the reduction in reproductive success caused by other factors. In the third study I investigated the morphology of the visual system in bumblebees. I explored the association between male eye size and mating behavior and investigated the diversity of compound eye morphology among workers, queens and males in 11 species. I identified adaptations of workers that correlate with distinct foraging differences among species. Bumblebee queens must, in contrast to honeybees, fulfill similar tasks as workers in the first part of their life, and correspondingly visual parameters are similar among both female castes. Enlarged male eyes are found in several subgenera and have evolved several times independently within the genus, which I demonstrate using phylogenetic informed statistics. Males of these species engage in visually guided mating behavior. I find similarities in the functional eye morphology among large-eyed males in four subgenera, suggesting convergent evolution as adaptation to similar visual tasks. In the remaining species, males do not differ significantly from workers in their eye morphology. In the fourth study I investigated the sexual dimorphism of the visual system in a solitary bee species. Males of Eucera berlandi patrol nesting sites and compete for first access to virgin females. Males have enlarged eyes and better spatial resolution in their frontal eye region. In a behavioral study, I tested the effect of target size and speed on male mate catching success. 3-D reconstructions of the chasing flights revealed that angular target size is an important parameter in male chasing behavior. I discuss similarities to other insects that face similar problems in visual target detection. In the fifth study I examined the olfactory system of E. berlandi. Males have extremely long antennae. To investigate the anatomical grounds of this elongation I studied antennal morphology in detail in the periphery and follow the sexual dimorphism into the brain. Functional adaptations were found in males (e.g. longer antennae, a multiplication of olfactory sensilla and receptor neurons, hypertrophied macroglomeruli, a numerical reduction of glomeruli in males and sexually dimorphic investment in higher order processing regions in the brain), which were similar to those observed in honeybee drones. The similarities and differences are discussed in the context of solitary vs. eusocial lifestyle and the corresponding consequences for selection acting on males.
Potential evolutionary responses to landscape heterogeneity and systematic environmental trends
(2020)
Over the course of the last century, humans have witnessed drastic levels of global environmental change that endangered both, the survival of single species as well as biodiversity itself. This includes climate change, in both environmental means and in variance and subsequently frequent extreme weather events, as well as land use change that species have to cope with.
With increasing urbanization, increasing agricultural area and increasing intensification, natural habitat is not only lost, but also changes its shape and distribution in the landscape. Both aspects can heavily influence an individual's fitness and therefore act as a selective force promoting evolutionary change.
This way climate change influences individuals' niches and dispersal. Local adaptation and dispersal are not independent of each other. Dispersal can have two opposite effects on local adaptation. It can oppose local adaptation, by promoting the immigration of maladapted indi-
viduals or favor local adaptation by introducing better adapted genotypes. Which of those effects of dispersal on local adaptation emerges in a population depends on the dispersal strategies and the spatial structure of the landscape. In principle an adaptive response can include adjustment of the niche optimum as well as habitat tolerance (niche width) or (instead) ecological tracking of adequate conditions by dispersal and range shifting. So
far, there has been no extensive modeling study of the evolution of the environmental niche optimum and tolerance along with dispersal probability in complex landscapes. Either only dispersal or (part of ) the environmental niche can evolve or the landscapes used are not realistic but rather a very abstract representation of spatial structures.
I want to try and disentangle those different effects of both local adaptation and dispersal during global change, as well as their interaction, especially considering the separation between the effects of increasing mean and increasing variance. For this, I implemented an individual based model (IBM), with escalating complexity.
I showed that both on a temporal as well as on a spatial scale, variation can be more influential then mean conditions.
Indeed, the actual spatial configuration of this heterogeneity and the relationship between spatial and temporal heterogeneity affect the evolution of the niche and of dispersal probability more than temporal or spatial mean conditions. I could show that in isolated populations, an increase of an environmental attribute's mean or variance can lead to extinction, under certain conditions. In particular, increasing variance cannot be tracked forever, since increasing tolerance has distinct limits of feasibility. Increasing mean conditions can also occur too fast to be tracked, especially from generalist individuals. When expanding the model to the metapopulation level without a temporal environmental trend, the degree of spatial vs.temporal heterogeneity influenced the evolution of random dispersal heavily. With increasing spatial heterogeneity, individuals from extreme and rare patches
evolve from being philopatric to dispersive, while individuals from average patches switch in the opposite direction.
With the last expansion to a different set of landscapes with varying degrees of edge density, I could show that edge effects are strong in pseudo-agricultural landscapes, while
in pseudo-natural habitats they were hardly found, regardless of emigration strategy. Sharp edges select against dispersal in the edge patches and could potentially further isolate populations in agricultural landscapes.
The work I present here can also be expanded further and I present several suggestions on what to do next. These expansions could help the realism of the model and eventually shed light on its bearing on ecological global change predictions. For example species distribution models or extinction risk models would be more precise, if they included both spatial and temporal variation. The current modeling practices might not be suffcient to
describe the possible outcomes of global change, because spatio-temporal heterogeneity and its influence on species' niches is too important to be ignored for longer.
Background:
A substantial amount of data has been accumulated supporting the important role of genomic islands (GEIs) - including pathogenicity islands (PAIs) - in bacterial genome plasticity and the evolution of bacterial pathogens. Their instability and the high level sequence similarity of different (partial) islands suggest an exchange of PAIs between strains of the same or even different bacterial species by horizontal gene transfer (HGT). Transfer events of archetypal large genomic islands of enterobacteria which often lack genes required for mobilisation or transfer have been rarely investigated so far.
Results:
To study mobilisation of such large genomic regions in prototypic uropathogenic E. coli (UPEC) strain 536, PAI II(536) was supplemented with the mob(RP4) region, an origin of replication (oriV(R6K)), an origin of transfer (oriT(RP4)) and a chloramphenicol resistance selection marker. In the presence of helper plasmid RP4, conjugative transfer of the 107-kb PAI II(536) construct occured from strain 536 into an E. coli K-12 recipient. In transconjugants, PAI II(536) existed either as a cytoplasmic circular intermediate (CI) or integrated site-specifically into the recipient's chromosome at the leuX tRNA gene. This locus is the chromosomal integration site of PAI II(536) in UPEC strain 536. From the E. coli K-12 recipient, the chromosomal PAI II(536) construct as well as the CIs could be successfully remobilised and inserted into leuX in a PAI II(536) deletion mutant of E. coli 536.
Conclusions:
Our results corroborate that mobilisation and conjugal transfer may contribute to evolution of bacterial pathogens through horizontal transfer of large chromosomal regions such as PAIs. Stabilisation of these mobile genetic elements in the bacterial chromosome result from selective loss of mobilisation and transfer functions of genomic islands.
Safer without Sex?
(1999)
Highly eusocial insect societies, such as all known ants, are typically characterized by a reproductive division of labor between queens, who are inseminated and reproduce, and virgin workers, who engage in foraging, nest maintenance and brood care. In most species workers have little reproductive options left: They usually produce haploid males by arrhenotokous parthenogenesis, both in the queenright and queenless condition. In the phylogenetically primitive subfamily Ponerinae reproductive caste dimorphism is much less pronounced: Ovarian morphology is rather similar in queens and workers, which additionally retain a spermatheca. In many ponerine species workers mate and may have completely replaced the queen caste. This similarity in reproductive potential provides for the evolution of diverse reproductive systems. In addition, it increases the opportunity for reproductive conflicts among nestmates substantially. Only in a handful of ant species, including Platythyrea punctata, workers are also able to rear diploid female offspring from unfertilized eggs by thelytokous parthenogenesis. The small ponerine ant P. punctata (Smith) is the only New World member of the genus reaching as far north as the southern USA, with its center of distribution in Central America and the West Indies. P. punctata occurs in a range of forest habitats including subtropical hardwood forests as well as tropical rain forests. In addition to queens, gamergates and thelytokous workers co-occur in the same species. This remarkable complexity of reproductive strategies makes P. punctata unique within ants and provides an ideal model system for the investigation of reproductive conflicts within the female caste. Colonies are usually found in rotten branches on the forest floor but may also be present in higher strata. Colonies contained on average 60 workers, with a maximum colony size of 148 workers. Queens were present in only ten percent of the colonies collected from Florida, but completely absent both from the populations studied in Barbados and Puerto Rico. Males were generally rare. In addition, morphological intermediates between workers and queens (so-called intercastes) were found in 16 colonies collected in Florida. Their thorax morphology varied from an almost worker-like to an almost queen-like thorax structure. Queen and intercaste size, however, did not differ from those of workers. Although workers taken from colonies directly after collection from the field engaged in aggressive interactions, nestmate discrimination ceased in the laboratory suggesting that recognition cues used are derived from the environment. Only one of six queens dissected was found to be inseminated but not fertile. Instead, in most queenless colonies, a single uninseminated worker monopolized reproduction by means of thelytokous parthenogenesis. A single mated, reproductive worker (gamergate) was found dominating reproduction in the presence of an inseminated alate queen only in one of the Florida colonies. The regulation of reproduction was closely examined in ten experimental groups of virgin laboratory-reared workers, in which one worker typically dominated reproduction by thelytoky despite the presence of several individuals with elongated, developing ovaries. In each group only one worker was observed to oviposit. Conflict over reproduction was intense consisting of ritualized physical aggression between some nestmates including antennal boxing, biting, dragging, leap and immobilization behaviors. The average frequency of interactions was low. Aggressive interactions allowed to construct non-linear matrices of social rank. On average, only five workers were responsible for 90 percent of total agonistic interactions. In 80 percent of the groups the rate of agonistic interactions increased after the experimental removal of the reproductive worker. While antennal boxing and biting were the most frequent forms of agonistic behaviors both before and after the removal, biting and dragging increased significantly after the removal indicating that agonistic interactions increased in intensity. Once a worker obtains a high social status it is maintained without the need for physical aggression. The replacement of reproductives by another worker did however not closely correlate with the new reproductive's prior social status. Age, however, had a profound influence on the individual rate of agonistic interactions that workers initiated. Especially younger adults (up to two month of age) and callows were responsible for the increase in observed aggression after the supersedure of the old reproductive. These individuals have a higher chance to become reproductive since older, foraging workers may not be able to develop their ovaries. Aggressions among older workers ceased with increasing age. Workers that already started to develop their ovaries should pose the greatest threat to any reproductive individual. Indeed, dissection of all experimental group revealed that aggression was significantly more often directed towards both individuals with undeveloped and developing ovaries as compared to workers that had degenerated ovaries. In all experimental groups reproductive dominance was achieved by callows or younger workers not older than four month. Age is a better predictor of reproductive dominance than social status as inferred from physical interactions. Since no overt conflict between genetical identical individuals is expected, in P. punctata the function of agonistic interactions in all-worker colonies, given the predominance of thelytokous parthenogenesis, remains unclear. Physical aggression could alternatively function to facilitate a smooth division of non-reproductive labor thereby increasing overall colony efficiency. Asexuality is often thought to constitute an evolutionary dead end as compared with sexual reproduction because genetic recombination is limited or nonexistent in parthenogenetic populations. Microsatellite markers were developed to investigate the consequences of thelytokous reproduction on the genetic structure of four natural populations of P. punctata. In the analysis of 314 workers taken from 51 colonies, low intraspecific levels of variation at all loci, expressed both as the number of alleles detected and heterozygosities observed, was detected. Surprisingly, there was almost no differentiation within populations. Populations rather had a clonal structure, with all individuals from all colonies usually sharing the same genotype. This low level of genotypic diversity reflects the predominance of thelytoky under natural conditions in four populations of P. punctata. In addition, the specificity of ten dinucleotide microsatellite loci developed for P. punctata was investigated in 29 ant species comprising four different subfamilies by cross-species amplification. Positive amplification was only obtained in a limited number of species indicating that sequences flanking the hypervariable region are often not sufficiently conserved to allow amplification, even within the same genus. The karyotype of P. punctata (2n = 84) is one of the highest chromosome numbers reported in ants so far. A first investigation did not show any indication of polyploidy, a phenomenon which has been reported to be associated with the occurrence of parthenogenesis. Thelytokous parthenogenesis does not appear to be a very common phenomenon in the Hymenoptera. It is patchily distributed and restricted to taxa at the distant tips of phylogenies. Within the Formicidae, thelytoky has been demonstrated only in four phylogenetically very distant species, including P. punctata. Despite its advantages, severe costs and constraints may have restricted its rapid evolution and persistence over time. The mechanisms of thelytokous parthenogenesis and its ecological correlates are reviewed for the known cases in the Hymenoptera. Investigating the occurrence of sexual reproduction in asexual lineages indicates that thelytokous parthenogenesis may not be irreversible. In P. punctata the occasional production of sexuals in some of the colonies may provide opportunity for outbreeding and genetic recombination. Thelytoky can thus function as a conditional reproductive strategy. Thelytoky in P. punctata possibly evolved as an adaptation to the risk of colony orphanage or the foundation of new colonies by fission. The current adaptive value of physical aggression and the production of sexuals in clonal populations, where relatedness asymmetries are virtually absent, however is less clear. Quite contrary, thelytoky could thereby serve as the stepping stone for the subsequent loss of the queen caste in P. punctata. Although P. punctata clearly fulfills all three conditions of eusociality, the evolution of thelytoky is interpreted as a first step in a secondary reverse social evolution towards a social system more primitive than eusociality.
Many polymorphisms are linked to alternative reproductive strategies. In animals, this is particularly common in males. Ant queens are an important exception. The case of ant queen size dimorphisms has not been studied in sufficient detail, and thus this thesis aimed at elucidating causes and consequences of the different size of small (microgynous) and large (macrogynous)ant queens using the North American ant species Leptothorax rugatulus as a model system. Employing neutral genetic markers, no evidence for a taxonomically relevant separation of the gene pools of macrogynes and microgynes was found. Queens in polygynous colonies were highly related to each other, supporting the hypothesis that colonies with more than one queen commonly arise by secondary polygyny, i.e. by the adoption of daughter queens into their natal colonies. These results and conclusions are also true for the newly discovered queen size polymorphism in Leptothorax cf. andrei. Several lines of evidence favor the view that macrogynes predominantly found their colonies independently, while microgynes are specialized for dependent colony founding by readoption. Under natural conditions, mother and daughter size are highly correlated and this is also true for laboratory colonies. However, the size of developing queens is influenced by queens present in the colony. Comparing populations across the distribution range, it turns out that queen morphology (head width and ovariole number) is more differentiated among populations than worker morphology (coloration, multivariate size and shape), colony characteristics (queen and worker number per colony) or neutral genetic variation. Northern and southern populations differed consistently which indicates the possibility of two different species. The queen size dimorphism in L. rugatulus did neither influence the sex ratio produced by a colony, nor its ratio of workers to gynes. However, the sex ratio covaried strongly across populations with the average number of queens per colony in accordance with sex ratio theory. At the colony level, sex ratio could not be explained by current theory and a hypothesis at the colony-level was suggested. Furthermore, queen body size has no significant influence on the amount of reproductive skew among queens. Generally, the skew in L. rugatulus is low, and supports incomplete control models, rather than the classic skew models. In eight of fourteen mixed or microgynous colonies, the relative contributions of individual queens to workers, gynes and males were significantly different. This was mainly due to the fact that relative body size was negatively correlated with the ratio of gynes to workers produced. This supports the kin conflict over caste determination hypothesis which views microgyny as a selfish reproductive tactic.
Evolution of antifungal drug resistance of the human-pathogenic fungus \(Candida\) \(albicans\)
(2021)
Infections with the opportunistic yeast Candida albicans are frequently treated with the first-line drug fluconazole, which inhibits ergosterol biosynthesis. An alarming problem in clinics is the development of resistances against this azole, especially during long-term treatment of patients. Well-known resistance mechanisms include mutations in the zinc cluster transcription factors (ZnTFs) Mrr1 and Tac1, which cause an overexpression of efflux pump genes, and Upc2, which results in an overexpression of the drug target. C. albicans strains with such gain-of-function mutations (GOF) have an increased drug resistance conferring a selective advantage in the presence of the drug. It was previously shown that this advantage comes with a fitness defect in the absence of the drug. This was observed in different conditions and is presumably caused by a deregulated gene expression.
One aim of the present study was to examine whether C. albicans can overcome the costs of drug resistance by further evolution. Therefore, the relative fitness of clinical isolates with one or a combination of different resistance mutations in Mrr1, Tac1 and/or Upc2 was analyzed in competition with the matched fluconazole-susceptible partner. Most fluconazole-resistant isolates had a decreased fitness in competition with their susceptible partner in vitro in rich medium. In contrast, three fluconazole-resistant strains with Mrr1 resistance mutations did not show a fitness defect in competition with their susceptible partner. In addition, the fitness of four selected clinical isolate pairs was examined in vivo in mouse models of gastrointestinal colonization (GI) and disseminated infection (IV). In the GI model all four fluconazole-resistant strains were outcompeted by their respective susceptible partner. In contrast, in the IV model only one out of four fluconazole-resistant isolates did show a slight fitness defect in competition with its susceptible partner during infection of the kidneys. It can be stated, that in the present work the in vitro fitness did not reflect the in vivo fitness and that the overall fitness was dependent on the tested conditions. In conclusion, C. albicans cannot easily overcome the costs of drug resistance caused by a deregulated gene expression.
In addition to GOFs in Mrr1, Tac1 and Upc2, resistance mutations in the drug target Erg11 are a further key fluconazole resistance mechanism of C. albicans. Clinical isolates often harbor several resistance mechanisms, as the fluconazole resistance level is further increased in strains with a combination of different resistance mutations. In this regard, the question arises of how strains with multiple resistance mechanisms evolve. One possibility is that strains acquire mutations successively. In the present study it was examined whether highly drug-resistant C. albicans strains with multiple resistance mechanisms can evolve by parasexual recombination as another possibility. In a clonal population, cells with individually acquired resistance mutations could combine these advantageous traits by mating. Thereupon selection could act on the mating progeny resulting in even better adapted derivatives.
Therefore, strains heterozygous for a resistance mutation and the mating type locus (MTL) were grown in the presence of fluconazole. Derivatives were isolated, which had become homozygous for the resistance mutation and at the same time for the MTL. This loss of heterozygosity was accompanied by increased drug resistance. In general, strains which are homozygous for one of both MTL configurations (MTLa and MTLα) can switch to the opaque phenotype, which is the mating-competent form of the yeast, and mate with cells of the opposite MTL. In the following, MTLa and MTLα homozygous strains in the opaque phenotype were mated in all possible combinations. The resulting mating products with combined genetic material from both parents did not show an increased drug resistance. Selected products of each mating cross were passaged with stepwise increasing concentrations of fluconazole. The isolated progeny showed high levels of drug resistance and loss of wild-type alleles of resistance-associated genes. In conclusion, selective pressure caused by fluconazole exposure selects for resistance mutations and at the same time induces genomic rearrangements, resulting in mating competence. Therefore, in a clonal population, cells with individually acquired resistance mutations can mate with each other and generate mating products with combined genetic backgrounds. Selection can act on these mating products and highly drug-resistant und thus highly adapted derivatives can evolve as a result.
In summary, the present study contributes to the current understanding of the evolution of antifungal drug resistance by elucidating the effect of resistance mutations on the fitness of the strains in the absence of the drug selection pressure and investigates how highly drug-resistant strains could evolve within a mammalian host.
We present the results of individual-based simulation experiments on the evolution of dispersal rates of organisms living in metapopulations. We find conflicting results regarding the relationship between local extinction rate and evolutionarily stable (ES) dispersal rate depending on which principal mechanism causes extinction: if extinction is caused by environmental catastrophes eradicating local populations, we observe a positive correlation between extinction and ES dispersal rate; if extinction is a consequence of stochastic local dynamics and environmental fluctuations, the correlation becomes ambiguous; and in cases where extinction is caused by dispersal mortality, a negative correlation between local extinction rate and ES dispersal rate emerges. We conclude that extinction rate, which both affects and is affected by dispersal rates, is not an ideal predictor for optimal dispersal rates.
The human genome has been sequenced since 2001. Most proteins have been characterized now and with everyday more bioinformatical predictions are experimentally verified. A project is underway to sequence thousand humans. But still, little is known about the evolution of the human proteome itself. Domains and their combinations are analysed in detail but not all of the human domain architectures at once. Like no one before, we have large datasets of high quality human protein-protein-protein interactions and complexes available which allow us to characterize the human proteome with unmatched accuracy. Advanced clustering algorithms and computing power enable us to gain new information about protein interactions without touching a pipette. In this work, the human proteome is analysed at three different levels. First, the origin of the different types of proteins was analysed based on their domain architectures. The second part focuses on the protein-protein interactions. Finally, in the third part, proteins are clustered based on their interactions and non-interactions. Most proteins are built of domains and their function is the sum of their domain functions. Proteins that share the same domain architecture, the linear order of domains are homologues and should have originated from one common ancestral protein. This ancestor was calculated for roughly 750 000 proteins from 1313 species. The relations between the species are based on the NCBI Taxonomy and additional molecular data. The resulting data set of 5817 domains and 32868 domain architectures was used to estimate the origin of these proteins based on their architectures. It could be observed, that new domain architectures are only in a small fraction composed of domains arisen at the same taxon. It was also found that domain architectures increase in length and complexity in the course of evolution and that different organisms like worm, and human share nearly the same amount of proteins but differ in their number of distinct domain architectures. The second part of this thesis focuses on protein-protein interactions. This chapter addresses the question how new evolved proteins form connections within the existing network. The network built of protein-protein interactions was shown to be scale free. Scale free networks, like the internet, consist of few hubs with many connections and many nodes with few connections. They are thought to arise by two mechanisms. First, newly emerged proteins interact with proteins of the network. Second, according to the theory of preferential attachment, new proteins have a higher chance to interact with already interaction rich proteins. The Human Protein Reference Database provides an on in-vivo interaction data based network for human. With the data obtained from chapter one, proteins were marked with their taxon of origin based on their domain architectures. The interaction ratio of proteins of the same taxa compared to all interactions was calculated and higher values than the random model showed for nearly every taxa. On the other hand, there was no enrichment of proteins originated at the taxon of cellular organisms for the node degree found. The node degree is the number of links for this node. According to the theorie of preferential attachment the oldest nodes should have the most interactions and newly arisen proteins should be preferably attached to them not together. Both could not be shown in this analysis, preferential attachment could therefore not be the only explanation for the forming of the human protein interaction network. Finally in part three, proteins and all their interactions in the network are analysed. Protein networks can be divided into smaller highly interacting parts carrying out specific functions. This can be done with high statistical significance but still, it does not reflect the biological significance. Proteins were clustered based on their interactions and non-interactions with other proteins. A version with eleven clusters showed high gene ontology based ratings and clusters related to specific cell parts. One cluster consists of proteins having very few interactions together but many to proteins of two other clusters. This first cluster is significantly enriched with transport proteins and the two others are enriched with extracellular and cytoplasm/membrane located proteins. The algorithm seems therefore well suited to reflect the biological importance behind functional modules. Although we are still far from understanding the origin of species, this work has significantly contributed to a better understanding of evolution at the protein level and has, in particular, shown the relation of protein domains and protein architectures and their preferences for binding partners within interaction networks.