Graduate School of Life Sciences
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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.
Comparative analysis of insect circadian clocks: a behavioural, anatomical, and molecular study
(2020)
Biological clocks are endogenous oscillators that give organisms the sense of time. Insects, as the largest taxonomic group, offer fascinating models to study the evolution of clocks and their adaptation to various environments. Although the laboratory fruit fly, Drosophila melanogaster, led the role in the field of circadian biology as it provides a powerful genetic experimental tool, new model insect species need to be established to understand photoperiodic responses and to enable comparative studies. This work reports the behavioural, anatomical, and molecular characterization of the circadian clock of five insect species. The malt fly Chymomyza costata carries a D. melanogaster-like clock network, which supports circadian rhythms under rhythmic environment but cannot self-sustain when isolated from external time cues. The olive fly Bactrocera oleae is the major pest of olive plantations and the characterization of its circadian clock will improve future pest management strategies. The linden bug Pyrrhocoris apterus, a well suited model for investigating circadian and photoperiodic timing interactions, shows high degree of homology of the clock network with D. melanogaster. The scuttle flies Megaselia scalaris and Megaselia abdita represent new fascinating models to study how the clock network controls circadian behaviour. Overall, this work highlights high degree of homology between different circadian clock systems, but at the same time also dramatic differences in terms of circadian behaviour and neuro-anatomical expression of clock components. These have been mainly discussed in regards to the evolution of clocks in Diptera, and the adaptation of clocks to high latitudes.
Analyse der Genexpression verschiedener Kandidatengene und der Methylierung im Xiphophorus Melanom
(2020)
Das Melanom ist eine der aggressivsten Formen von malignen Tumoren beim Menschen. Bei Fischen der Gattung Xiphophorus kommt es zur spontanen Tumorformation, welche auch durch zwischenartliche Kreuzung herbeiführbar ist. Hybride mit angeborenem Melanom stellen ein nützliches Tiermodell zur Untersuchung der genetischen Grundlage der Tumorentwicklung dar. Ihre Tumorigenese hängt mit der pigmentzellspezifischen Überexpression der durch eine Mutation aktivierten Rezeptortyrosinkinase Xmrk zusammen. In reinrassigen Fischen wird die onkogene Funktion des xmrk durch den Genlocus R, welcher molekular noch nicht identifiziert wurde, unterdrückt. Zusammen mit der Überexpression von xmrk konnten mittels einer RNA-Seq Analyse weitere Gene gefunden werden, welche differenziell in den Proben von malignen und benignen Geweben des Xiphophorus exprimiert werden. Des Weiteren ist bekannt, dass die Methylierung des xmrk Promotors Einfluss auf die Expression des Genes hat.
Um die Daten der durch RNA-Seq gefundenen Kandidatengene zu validieren, wurde deren Expression in malignen und benignen Geweben der Flossen und des Rumpfes mittels qPCR quantifiziert. Zusätzlich dazu wurde die Expression einiger humaner Orthologe dieser Gene in Proben aus humanen Melanomzelllinien gemessen. Mir war es möglich zu zeigen, dass mit Ausnahme von cdkn2ab, mitfb und xirp2b alle Kandidatengene signifikant unterschiedlich in mindestens einem Vergleich von benignem und malignem Gewebe exprimiert waren. Das mit xmrk verglichen gegensätzliche Expressionsmuster von pdcd4a macht es zu einem vielversprechenden Kandidaten als vom R-Locus codierten Tumorsuppressorgen. In den humanen Melanomzelllinien konnte ausschließlich von PDGFRB keine erhöhte Expression in irgendeiner Probe nachgewiesen werden. Während die Expression von PDCD4, C-MYC und MITF in mindestens drei der vier Zelllinien mittelstark erhöht war, ließ sich bei KIT eine enorm gesteigerte Überexpression in Zellen der Linie Hermes3a nachweisen. Da drei der fünf analysierten Gene und ihre Orthologen ähnliche Expressionsmuster in Proben des Xiphophorus und der humanen Melanomzelllinien zeigen, deuten diese Ergebnisse auf die Nützlichkeit des Tiermodells zur Identifizierung entscheidender Gene und Signalwege im malignen Melanom hin. Ein zweites Ziel der Arbeit war das Erlangen tieferer Einblicke in die Methylierung des Xiphophorus Melanoms auf einer globalen und promotor- spezifischen Ebene. Um die Hypothese einer Reduzierung der globalen Methylierung zu testen, führte ich eine kolorimetrische Quantifizierung der 5-mC DNA in Kontroll- und Tumorgeweben aus. Diese Vorgehensweise zeigte zum ersten Mal eine signifikante Verminderung der methylierten globalen DNA in den benignen Läsionen und malignen Melanomen der Flossen verglichen mit dem Kontrollgewebe. Um herauszufinden, on diese Demethylierung direkt mit der Überexpression des xmrk verbunden ist, analysierte ich als nächstes die Methylierung eines CpG Dinukleotids des xmrk Promotors mithilfe von methylierungssensitiven Restriktionsendonukleasen. Obwohl nur in den Proben des exophytischen Tumorwachstums als Krebsgewebe eine verringerte Methylierung des CpG Dinukleotids verglichen mit den Kontrollen nachgewiesen werden konnte, zeigte sich die Stelle in Zellen der Xiphophorus Melanomzelllinie PSM komplett unmethyliert. Diese Ergebnisse deuten stark daraufhin, dass eine differenzierte Methylierung das onkogene Potential dieser Zellen bewirkt. Um die Effekte veränderter globaler und promotor-spezifischer Methylierung auf die Tumorigenese besser zu verstehen, sind weitere Untersuchungen nötig.
Chlamydia trachomatis (Ct) is an obligate intracellular human pathogen. It causes blinding trachoma and sexually transmitted disease such as chlamydia, pelvic inflammatory disease and lymphogranuloma venereum. Ct has a unique biphasic development cycle and replicates in an intracellular vacuole called inclusion. Normally it has two forms: the infectious form, elementary body (EB); and the non-infectious form, reticulate body (RB). Ct is not easily amenable to genetic manipulation. Hence, to understand the infection process, it is crucial to study how the metabolic activity of Ct exactly evolves in the host cell and what roles of EB and RB play differentially in Ct metabolism during infection. In addition, Ct was found regularly coinfected with other pathogens in patients who got sexually transmitted diseases (STDs). A lack of powerful methods to culture Ct outside of the host cell makes the detailed molecular mechanisms of coinfection difficult to study.
In this work, a genome-scale metabolic model with 321 metabolites and 277 reactions was first reconstructed by me to study Ct metabolic adaptation in the host cell during infection. This model was calculated to yield 84 extreme pathways, and metabolic flux strength was then modelled regarding 20hpi, 40hpi and later based on a published proteomics dataset. Activities of key enzymes involved in target pathways were further validated by RT-qPCR in both HeLa229 and HUVEC cell lines. This study suggests that Ct's major active pathways involve glycolysis, gluconeogenesis, glycerolphospholipid biosynthesis and pentose phosphate pathway, while Ct's incomplete tricarboxylic acid cycle and fatty acid biosynthesis are less active. EB is more activated in almost all these carbohydrate pathways than RB. Result suggests the survival of Ct generally requires a lot of acetyl-CoA from the host. Besides, both EB and RB can utilize folate biosynthesis to generate NAD(P)H but may use different pathways depending on the demands of ATP. When more ATP is available from both host cell and Ct itself, RB is more activated by utilizing energy providing chemicals generated by enzymes associated in the nucleic acid metabolism. The forming of folate also suggests large glutamate consumption, which is supposed to be converted from glutamine by the glutamine-fructose-6-phosphate transaminase (glmS) and CTP synthase (pyrG).
Then, RNA sequencing (RNA-seq) data analysis was performed by me in a coinfection study. Metatranscriptome from patient RNA-seq data provides a realistic overview. Thirteen patient samples were collected and sequenced by our collaborators. Six male samples were obtained by urethral swab, and seven female samples were collected by cervicovaginal lavage. All the samples were Neisseria gonorrhoeae (GC) positive, and half of them had coinfection with Ct. HISAT2 and Stringtie were used for transcriptomic mapping and assembly respectively, and differential expression analysis by DESeq2, Ballgown and Cuffdiff2 are parallelly processed for comparison. Although the measured transcripts were not sufficient to assemble Ct's transcriptome, the differential expression of genes in both the host and GC were analyzed by comparing Ct positive group (Ct+) against Ct-uninfected group. The results show that in the Ct+ group, the host MHC class II immune response was highly induced. Ct infection is associated with the regulation of DNA methylation, DNA double-strand damage and ubiquitination. The analysis also shows Ct infection enhances host fatty acid beta oxidation, thereby inducing mROS, and the host responds to reduce ceramide production and glycolysis. The coinfection upregulates GC's own ion transporters and amino acid uptake, while it downregulates GC's restriction and modification systems. Meanwhile, GC has the nitrosative and oxidative stress response and also increases the ability for ferric uptake especially in the Ct+ group compared to Ct-uninfected group.
In conclusion, methods in bioinformatics were used here in analyzing the metabolism of Ct itself, and the responses of the host and GC respectively in a coinfection study with and without Ct. These methods provide metabolic and metatranscriptomic details to study Ct metabolism during infection and Ct associated coinfection in the human microbiota.