@phdthesis{Fichtner2020,
  author    = {Fichtner, Alina Suzann},
  title     = {Alpaca, armadillo and cotton rat as new animal models for nonconventional T cells: Identification of cell populations and analysis of antigen receptors and ligands},
  doi       = {10.25972/OPUS-16910},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-169108},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2020},
  abstract  = {In this thesis, three species were investigated for the conservation of two non-conventional T cell systems, the CD1d/ iNKT cell system and the BTN3/ Vγ9Vδ2 T cell system. Non-conventional T cells are αβ or γδ T cells that do not fit into the classical mode of antigen recognition and adaptive responses. These T cells recognize antigens different from classical peptide antigens and are not restricted to the polymorphic MHC molecules but rather to non-polymorphic antigen-presenting molecules. The iNKT cell subset is restricted by the lipid antigen-presenting molecule CD1d and carries out immunomodulatory functions by rapid cytokine secretion. The molecular basis of this system, the semi-invariant iNKT TCR chains and CD1d were proven to be expressed and compared to homologs in human and rodents. Cotton rats possess multiple members of the AV14 and BV8 family and only one isoform of CD1d which is comparable to findings in the rat. Moreover, the reactivity of primary cells to glycolipid antigens could be shown, and an iNKT cell-like population was detected in primary cells using newly developed cotton rat CD1d oligomers. These were also applied to test the capacity of CD1d to present typical glycolipid antigens to iNKT TCR transductants. In addition, expression of cotton rat iNKT TCR α and β chains in TCR-negative cell lines was used to show successful pairing and detection of glycolipids in the context of CD1d. In summary, the conservation of a functional CD1d/iNKT cell system in the cotton rat could be shown, and tools were developed to study this cell subset in the course of infectious diseases. The Vγ9Vδ2 T cell subset is the major γδ T cell subset in human peripheral blood and has the unique ability to contribute to immune surveillance by detecting pyrophosphorylated metabolites of isoprenoid synthesis that indicate cell stress, transformation or infection. Up to this date, phosphoantigen-reactive γδ T cells have only been shown in primate species. However, evidence for the existence and functional conservation of the genes implied in the BTN3/Vγ9Vδ2 T cell system was found in several placental mammal species, and two candidate species were chosen for further investigation. The nine-banded armadillo, a valuable model for leprosy research, was shown to possess homologous genes to TRGV9, TRDV2 and BTN3. In this study, the expression of productive rearrangements of TRDV2 gene segments could be shown in peripheral blood samples, but no evidence was found for the expression of a functional TRGV9 rearrangement or BTN3 molecules. Moreover, determinants of phosphoantigen-reactive Vγ9Vδ2 T cells and functional BTN3 molecules were found to still be prevalent in armadillo genes. This makes the armadillo an interesting model to study the structural determinants that allow phosphoantigen recognition by a functional Vγ9Vδ2 T cell subset although this species is merely a witness for a functional system in a placental mammal ancestor. In contrast, alpacas were shown to express functional Vγ9Vδ2 T cells which conserved many features of the human counterpart. Expression of Vγ9Vδ2 pairings could be shown by single-cell PCR and functional phosphoantigenreactive pairings were observed. This phosphoantigen reactivity was also shown in PBMC cultures with a newly developed antibody specific for alpaca Vδ2Jδ4 chains. Moreover, a more detailed study of the alpaca TCR repertoire showed similarities to "γδ high" species like camelids and cattle which possess an extended family of TRDV genes. The γ and δ loci of alpaca TCR genes were drafted based on genomic information and cDNA studies and provide an overview for more detailed studies. Conservation of phosphoantigen recognition by the single BTN3 molecule of alpacas was shown in 293T knock out cell lines, and BTN3 detection on PBMCs was investigated with a newly developed alpaca BTN3-specific antibody. These findings prove the existence of a functional BTN3-dependent phosphoantigen-reactive Vγ9Vδ2 T cell subset and provide a basis for the future study of this cell system in a non-primate species. Moreover, as the first non-primate candidate species with the BTN3/Vγ9Vδ2 T cell system the alpaca is an important outgroup for research in this field. The use of a single BTN3 variant in contrast to three human isoforms that work together renders the alpaca a unique and to this date indispensable model for Vγ9Vδ2 T cells. In conclusion, this study provides an overview of the applicability of new animal models in the study of the non-conventional T cell subsets iNKT cells and Vγ9Vδ2 T cells and leads the way for a better understanding of structural and functional relationships.},
  subject      = {T-Lymphozyt},
  language  = {en}
}
@phdthesis{Sieger2020,
  author    = {Sieger, Charlotte Sophie},
  title     = {Potential evolutionary responses to landscape heterogeneity and systematic environmental trends},
  doi       = {10.25972/OPUS-21669},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-216690},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2020},
  abstract  = {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.},
  language  = {en}
}