Biologische Hochschulschriften (Goethe-Universität)
Refine
Year of publication
- 2009 (26) (remove)
Document Type
- Doctoral Thesis (26)
Language
- English (26) (remove)
Has Fulltext
- yes (26)
Is part of the Bibliography
- no (26)
Keywords
- Molekulardesign (2)
- Wirkstoff-Rezeptor-Bindung (2)
- Yarrowia lipolytica (2)
- virtual screening (2)
- Ameisen (1)
- Ameisenpflanzen (1)
- Bayes-Lernen (1)
- Biodiversität (1)
- Caspase-8 (1)
- Chemische Verschiebung (1)
Institute
1. Fab co-complexes of proton pumping NADH:ubiquinone oxidoreductase (complex I) Fab fragments suitable for co-crystallization with complex I were generated using an immobilized papainbased protocol. The binding of the antibody fragments to complex I was verified using Surface Plasmon Resonance and size exclusion chromatography. The binding constants of the antibodies and their respective Fab fragments were found to be in the nanomolar range. This work presents the first report on successful crystallization of complex I (proton pumping NADH:ubiquinone oxidoreductase) from Yarrowia lipolytica with proteolytic Fab fragments. The quality of the crystals was significantly improved when compared to the initial experiments and the best crystals diffracted X-rays to a resolution of ~7 Å. The activity of complex I remained uninfluenced by antibody fragment binding. The initial diffraction data suggest that the complex I/Fab co-complex crystals represent a space group different to the one observed for the native protein. Ongoing experiments are aimed at further enhancements of the diffraction quality of the crystals. Providing a different space group the CI/Fab co-complexes may become a very useful approach for structure determination of the enzyme. Moreover, the bound Fab offers an additional possibility to generate phase information. The antibody-mediated crystallization represents a valuable tool in structural characterization of the NADH:oxidoreductase subcomplexes or even single subunits. 2. UDP-glucose pyrophosphorylase UDP-glucose pyrophosphorylase from Yarrowia lipolytica displays affinity towards Ni2+ NTA and was first detected in a contaminated sample of complex I. Following, separation from complex I, Ugp1p was purified using anion exchange chromatography. Sequence similarity studies revealed high identity to other known pyrophosphorylases. As indicated by laser-based mass spectrometry method (LILBID) Ugp1p from Y. lipolytica builds octamers similarly to the enzyme from Saccharomyces cerevisiae. The initial crystals grew as thin needles favorably in sitting drop setups. The size of the crystals was increased by employment of a micro batch technique. The improved crystals diffracted X-rays to a resolution of 3.2 Å at the synchrotron beamline. Structural characterization is under way using a molecular replacement approach based on the published structure of baker’s yeast UGPase.
Epidermal growth factor (EGF) receptor belongs to the broad family of enzymatic receptors called receptor tyrosine kinases (RTKs). Generally, the binding of a ligand to these receptors leads to activation of their intracellular kinase activity that sets in motion a cascade of signaling events. In order to ensure appropriate responses to physiological stimuli, the cell is endowed with the ability to regulate signal transduction via numerous mechanisms such as dephosphorylation of the RTK and its substrates as well as downregulation of the RTK. Activation of EGFR is a potent mitogenic (proliferative) and motogenic (cell motility) signal that plays crucial roles during embryonic development and maintenance of adult tissue. EGFR signaling is primarily regulated by ligand-induced receptor internalization with subsequent degradation in lysosomes. While the complex of proteins that are recruited to EGFR after its activation is well understood, proteins that interact with the receptor in the absence of ligand binding are still not systematically studied. With the goal of identifying novel binding partners of non-activated EGFR, a membrane based yeast-two hybrid screen (MYTH) was conducted. MYTH is based on the principle of in vivo reconstitution of the N-terminus (Nub) and C-terminus (Cub) halves of ubiquitin once brought into close proximity. A chimeric protein consisting of EGFR fused to Cub and a transcription factor was used as a bait to screen Nub-tagged cDNA library. Analysis of resultant yeast transformants revealed a total of 87 proteins to interact with EGFR. Of these only 11 were previously shown to bind to EGFR. A majority of the other proteins were shown to interact with the receptor by yeast retransformation. Fifteen were confirmed to bind to EGFR by coimmunoprecipitation assays in mammalian cells. One of the novel EGFR interactors identified in the screen was histone deacetylase 6 (HDAC6). This deacetylase is localized in the cytoplasm and known to deacetylate alpha-tubulin, HSP90 and cortactin. The juxtamembrane region of EGFR binds to the Cterminus of HDAC6. Functionally, overexpression of wild type HDAC6 stabilized ligand-induced degradation of the receptor. On the other hand, deacetylase deficient or EGFR binding compromised mutants of HDAC6 were able to stabilize EGFR only partially. Downmodulation of HDAC6 expression by RNAi markedly accelerated degradation of the receptor. Taken together, HDAC6 is a negative regulator of EGFR downregulation that is dependent on its deacetylase activity and ability to bind to the receptor. Imaging studies revealed that HDAC6 does not affect internalization of EGFR from the plasma membrane but rather influences the post-endocytic trafficking of the receptor-ligand complex to lysosomes. Pulse-chase experiments using fluorophoretagged EGF showed that EGFR is transported faster towards the peri-nuclear region and delivered to late endosomes rapidly in HDAC6 depleted cells. HDAC6 is demonstrated to act, at least partly, by regulating the acetylation of alpha-tubulin. Upon EGFR activation, acetylation of alpha-tubulin on lysine 40 is progressively increased as shown by mass spectrometry and immunoblotting. Forced expression of a dominant negative mutant of alpha-tubulin, but not wild type alpha-tubulin, led to reduced speed and processive movement of early endosomes in GFP-Rab5 expressing cells. In a surprising twist, EGFR is able to phosphorylate HDAC6 on Tyr570. Phosphorylation of Tyr570 and Ser568 leads to inactivation of the deacetylase function of HDAC6 as shown by in vivo and in vitro assays. In summary, HDAC6 diminishes EGFR downregulation by slowing the transport of intracellular vesicles. The inhibitory effect is removed once HDAC6 is phosphorylated on key residues. In line with these findings, two recent reports have shown that hyper-acetylation of alpha-tubulin induced by inhibition of HDAC6 increases the transport of brain derived neurotrophic factor and JNK interacting protein-1 in different cell systems. Acetylated microtubules are more efficient in recruiting motor proteins like kinesin-1 and dynein. These findings indicate that HDAC6 plays an important regulatory role in intracellular trafficking pathways. However, several outstanding issues still remain unresolved. How does acetylation of microtubules influence vesicular trafficking? In this regard, the temporal and spatial dynamics of alpha-tubulin acetylation following EGFR activation should be studied. Furthermore, whether HDAC6 affects the trafficking of other endocytic cargos and additional organelles is an interesting question to address.
Through the use of information about the biological target structure, the optimization of potential drugs can be improved. In this work I have developed a procedure that uses the quantitative change in the chemical perturbations (CSP) in the protein from NMR experiments for driving protein-ligand docking. The approach is based on a hybrid scoring function (QCSPScore) which combines traditional DrugScore potentials, which describe the interaction between protein and ligand, with Kendall’s rank correlation coefficient, which evaluates docking poses in terms of their agreement with experimental CSP. Prediction of the CSP for a specific ligand pose is done efficiently with an empirical model, taking into account only ring current effects. QCSPScore has been implemented in the AutoDock software package. Compared to previous methods, this approach shows that the use of rank correlation coefficient is robust to outliers. In addition, the prediction of native-like complex geometries improved because the CSP are already being used during the docking process, and not only in a post-filtering setting for generated docking poses. Since the experimental information is guaranteed to be quantitatively used, CSP effectively contribute to align the ligand in the binding pocket. The first step in the development of QCSPScore was the analysis of 70 protein-ligand complexes for which reference CSP were computed. The success rate in the docking increased from 71% without involvement of CSP to 100% if CSP were considered at the highest weighting scheme. In a second step QCSPScore was used in re-docking three test cases, for which reference experimental CSP data was available. Without CSP, i.e. in the use of conventional DrugScore potentials, none of the three test cases could be successfully re-docked. The integration of CSP with the same weighting factor as described above resulted in all three cases successfully re-docked. For two of the three complexes, native-like solutions were only produced if CSP were considered.Conformational changes in the binding pockets of up to 2 Å RMSD did not affect the success of the docking. QCSPScore will be particularly interesting in difficult protein-ligand complexes. They are in particular those cases in which the shape of the binding pocket does not provide sufficient steric restraints such as in flat protein-protein interfaces and in the virtual screening of small chemical fragments.
This thesis presents a 5.9 Å map of yeast FAS obtained by cryo-electron microscopy using single particle analysis (SPA). The EM-map has been analyzed both by quantitative and qualitative analysis to aid in understanding of the structure and dynamics of yeast FAS. This study approaches the factors limiting the resolution in EM (>20 Å) and further discusses the possibilities of achieving higher-resolutions (<10 Å) in cryo-EM by single particle analysis. Here, SPA is highlighted as a powerful tool for understanding the structure and dynamics of macro-molecular complexes at near native conditions. Though SPA has been used over the last four decades, the low-resolution range (20-30 Å) of the method has limited its use in structural biology. Over the last decade, sub nanometer resolution (<10 Å) structures solved by SPA have been reported --both in studies involving symmetric particles, such as GroEL (D7) and asymmetric particles, such as ribosomes (C1). Recently, near-atomic resolution in the range of 3.8-4.2 Å has been achieved in cases of highly symmetric icosahedral viral capsid structures as well. The yeast FAS structure (D3) presented here is one of two low symmetry structures submitted to the EM-database in a resolution range of 5-6 Å; the other being GroEL (D7). Fatty acid synthase (FAS) is the key enzyme for the biosynthesis of fatty acids in living organisms. There are two types of FAS, namely the type II FAS system in prokaryotes, consisting of a set of individual enzymes, and type I FAS found in eukaryotes as a multienzyme complex. Yeast fatty acid synthase (FAS) is a 2.6 MDa barrel-shaped multienzyme complex, which carries out cyclic synthesis of fatty acids. By electron cryomicroscopy of single particles we obtained a 3D map of yeast FAS at 5.9 Å resolution. Compared to the crystal structures of fungal FAS, the EM map reveals major differences and new features that indicate a considerably different arrangement of the complex in solution, as well as a high degree of variance inside the barrel. Distinct density regions in the reaction chambers next to each of the catalytic domains fit well with the substratebinding acyl carrier protein (ACP) domain. In each case, this resulted in the expected distance of ~18 Å from the ACP substrate binding site to the active site of the catalytic domains. The multiple, partially occupied positions of the ACP within the reaction chamber provide direct insight into the proposed substrate-shuttling mechanism of fatty acid synthesis in this large cellular machine.
The transporter associated with antigen processing-like (TAPL) acts as a lysosomal ATP-dependent polypeptide transporter with broad length selectivity. To characterize in detail its substrate specificity, a procedure for solubilization, purification and functional reconstitution of human TAPL was developed. TAPL was expressed in Sf9 insect cells with the baculovirus expression system and solubilized from crude membranes. By intensive screening of detergents, the mild non-ionic detergents digitonin and dodecylmaltoside were found to be ideal for solubilization with respect to efficiency, long term stability, and functionality of TAPL. TAPL was isolated in a two-step procedure with a yield of 500 micro g/L cell culture and, subsequently, reconstituted into proteoliposomes. The KM(pep) for the peptide RRYCfKSTEL (f refers to fluorescence label) and KM(ATP) were determined to be 10.5 ± 2.3 micro M and 97.6 ± 27.5 micro M, respectively, which are in the same range as the Michaelis-Menten constants determined in the membranes. The peptide transport activity of the reconstituted TAPL strongly depends on the lipid composition. Interestingly, the E. coli lipids are prefered over other tested natural lipids extracts. Moreover, phosphatidylcholine, the most abundant phospholipid in eukaryotic cells influenced TAPL activity in a dose dependent manner. In addition, some negatively charged lipids like DOPA and DOPS increased peptide transport activity with preference for DOPS. However, DOPE or egg PG which are also negatively charged had no effect. It seems not only the charge but also the specific head group of phospholipids that has impact on the function of TAPL. With the help of combinatorial peptide libraries containing D-amino acid residues at defined positions as well as bulky fluorescein labeled peptides, the key positions of the peptides were localized to the N- and C-terminal residues with respect to peptide transport. The C-terminal position has the strongest selectivity since modification at this position shows strongest impact on peptide transport. Additionally, positions 2 and 3 of the peptide also have weak influence on peptide selectivity. Subsequently, the residue preferences at the key positions were systematically investigated by combinatorial peptide libraries with defined residues at certain positions. At both ends, TAPL favors positively charged, aromatic, or hydrophobic residues and disfavors negatively charged residues as well as asparagine and methionine. The residue preferences at the key positions are valid for peptide substrates with different length, indicating a general rule for TAPL selectivity. Besides specific interactions of both terminal residues, electrostatic interactions are important, since peptides with positive net charge are more efficiently transported than negatively charged ones. By size exclusion chromatography (SEC) and blue native PAGE, TAPL purified in the presence of digitonin or dodecylmaltoside had an apparent molecular weight of 200 kDa which is close to the theoretical molecular mass of the TAPL homodimer (172 kDa). The purified and reconstituted TAPL showed specific ATP hydrolysis activity which can be inhibited by orthovanadate. TAPL in proteoliposomes showed 6-fold higher ATP hydrolysis than digitonin solubilized protein, indicating the phospholipids impact on TAPL function. However, no peptide substrate stimulated ATPase activity was observed. For site-specific labeling of TAPL, eight cysteines in each half transporter were replaced by alanine or valine. The TAPL cys-less mutant showed the same peptide transport activity as TAPL wt. Based on the functional TAPL cys-less mutant, seven single cysteine mutants were introduced into strategic positions. All single cysteine mutants in the TMD did not influence peptide transport, whereas the mutant L701C, which is close to the conserved H-loop motif, displayed impaired transport. TAPL orthologs Haf-4 and Haf-9 from Caenorhabditis elegans possess around 40% sequence identities with TAPL and 50% with each other. Both proteins are putative half transporters and reported to be involved in the intestinal granule formation (Bauer, 2006; Kawai et al., 2009). To further understand the physiological functions of these two proteins, they were expressed in Sf9 insect cells. Haf-4 and Haf-9 showed weak but specific ATP- and peptide-dependent peptide transport activity for the given peptide RRYCfKSTEL. Therefore, it was proposed that the physiological roles for Haf-4 and Haf-9 might be related to their peptide transport activity. Besides forming functional homodimeric complex as estimated by the peptide transport activities, both half transporter could also form heteromers which was confirmed by coimmunoprecipitation. However, the heteromers showed decreased transport activity.
Very little is known about the occlusal wear pattern in the Neanderthal posterior dentition. Usually dental wear is closely related to the physical properties of the ingested food, and consequently can be used to obtain information about diet. Neanderthal dietary reconstructions have been mostly based on the analysis of accompanying faunal remains and isotopic signatures of bones and tooth enamel, suggesting that they exploited larger portions of animal proteins from large and medium-sized herbivores. Probably these studies may do not reflect the bulk diet, tending to underestimate plant consumption and to overestimate meat consumption. In the present work the occlusal wear pattern of maxillary molars of Homo neanderthalensis (N=19) and early Homo sapiens (N=12)have been analyzed, applying non-destructive methods based on virtual three-dimensional polygonal models generated from surface scanning of dental casts. The sample groups occupied different geographical areas at different chronological times. The 3D digital tooth models were analyzed using the “Occlusal Fingerprint Analysis” (OFA) method (Kullmer et al. 2009), describing and quantifying the occlusal wear pattern derived from two wear facet angles (dip and dip direction), wear facet area and occlusal relief index (ORI). The OFA method provides information about the dynamics of the occlusal relationships and their function, permitting the reconstruction of the mandibular movements responsible for the contacts created during the chewing cycle. Since jaw movements and diet are closely related, the results obtained, can be used to interpret the diet of the two Pleistocene hominin species. In order to evaluate how dietary differences influence the occlusal wear pattern, upper molars of modern hunter-gatherers (N=42) with known diet and different dietary habits, have been included in the sample and compared with those of Neanderthals and early Homo sapiens. Results show that within the modern hunter-gatherers sample, the occlusal wear pattern of carnivorous populations differs from those who relied on a mixed-diet. In particular, the study of relative facet areas clearly distinguish meat-eaters from mixed-diet hunter-gatherers, while ORI results and wear facet inclinations (dip angle) seem to reflect directly the abrasiveness of the diet, including the influence of exogenous materials during food preparation. The Neanderthal occlusal wear pattern is characterized by an ecogeographic variation, suggesting the exploitation of different food resources. In particular Neanderthals who inhabited relatively warm environments of southern Europe and the Near East exhibit an occlusal wear pattern different from those of meat-eaters hunter-gatherers from tempered and cooler regions, displaying some features similar to those of Bushmen. These results suggest the exploitation of a broad variety of food sources. The analysis of the occlusal wear pattern in Neanderthals and early Homo sapiens who inhabited Europe during the cooler Oxygen Isotope Stage 3 (OIS3) shows many similarities between the two hominid species. These results indicate the exploitation of similar and low-diversified food sources, based mostly on the consumption of animal proteins, as suggested through the clear similarities with the wear patterns found in modern meat-eaters hunter-gatherers. In both studied groups, Neanderthals and early Homo sapiens the occlusal wear pattern is characterized by high ORI and dip angle values, suggesting the intake of a low-abrasive diet, probably due to the absence of sophisticated food preparation techniques introducing external silica grains, e.g. from soil (grinding of seeds) or plant cells, as those, seen in modern hunter-gatherer populations. The analysis of the occlusal fingerprints in Neanderthal and early European Homo sapiens upper molars suggests that both species followed very similar adaptive dietary strategies, based on a distinctive versatility and flexibility in the daily diet, depending on availability of resources according to environmental circumstances.
We investigate the utility of modern kernel-based machine learning methods for ligand-based virtual screening. In particular, we introduce a new graph kernel based on iterative graph similarity and optimal assignments, apply kernel principle component analysis to projection error-based novelty detection, and discover a new selective agonist of the peroxisome proliferator-activated receptor gamma using Gaussian process regression. Virtual screening, the computational ranking of compounds with respect to a predicted property, is a cheminformatics problem relevant to the hit generation phase of drug development. Its ligand-based variant relies on the similarity principle, which states that (structurally) similar compounds tend to have similar properties. We describe the kernel-based machine learning approach to ligand-based virtual screening; in this, we stress the role of molecular representations, including the (dis)similarity measures defined on them, investigate effects in high-dimensional chemical descriptor spaces and their consequences for similarity-based approaches, review literature recommendations on retrospective virtual screening, and present an example workflow. Graph kernels are formal similarity measures that are defined directly on graphs, such as the annotated molecular structure graph, and correspond to inner products. We review graph kernels, in particular those based on random walks, subgraphs, and optimal vertex assignments. Combining the latter with an iterative graph similarity scheme, we develop the iterative similarity optimal assignment graph kernel, give an iterative algorithm for its computation, prove convergence of the algorithm and the uniqueness of the solution, and provide an upper bound on the number of iterations necessary to achieve a desired precision. In a retrospective virtual screening study, our kernel consistently improved performance over chemical descriptors as well as other optimal assignment graph kernels. Chemical data sets often lie on manifolds of lower dimensionality than the embedding chemical descriptor space. Dimensionality reduction methods try to identify these manifolds, effectively providing descriptive models of the data. For spectral methods based on kernel principle component analysis, the projection error is a quantitative measure of how well new samples are described by such models. This can be used for the identification of compounds structurally dissimilar to the training samples, leading to projection error-based novelty detection for virtual screening using only positive samples. We provide proof of principle by using principle component analysis to learn the concept of fatty acids. The peroxisome proliferator-activated receptor (PPAR) is a nuclear transcription factor that regulates lipid and glucose metabolism, playing a crucial role in the development of type 2 diabetes and dyslipidemia. We establish a Gaussian process regression model for PPAR gamma agonists using a combination of chemical descriptors and the iterative similarity optimal assignment kernel via multiple kernel learning. Screening of a vendor library and subsequent testing of 15 selected compounds in a cell-based transactivation assay resulted in 4 active compounds. One compound, a natural product with cyclobutane scaffold, is a full selective PPAR gamma agonist (EC50 = 10 +/- 0.2 muM, inactive on PPAR alpha and PPAR beta/delta at 10 muM). The study delivered a novel PPAR gamma agonist, de-orphanized a natural bioactive product, and, hints at the natural product origins of pharmacophore patterns in synthetic ligands.
Plant parasitic species of Asterinaceae and Microthyriaceae (Dothideomycetes, Ascomycota, Fungi) are inconspicuous foliicolous fungi with a mainly tropical distribution. They form black colonies on the surface of living leaves. Members of Asterinaceae and Microthyriaceae are characterized by shield-shaped, flat ascomata (thyriothecia) which grow completely superficially on the leaf cuticle. Microthyriaceae, Asterinaceae and other families of thyriothecia-forming ascomycetes belong to the class Dothideomycetes due to the presence of bitunicate asci. However, until today no consistent taxonomic concept nor molecular phylogenetic studies exist for the families of thyriothecioid ascomycetes. In the present thesis, 42 species belonging to 13 different anamorphic and teleomorphic genera of Asterinaceae, Microthyriaceae and ‘Pycnothyriales’ recently collected in Western Panama, are identified, described in detail and illustrated with drawings, transmission and scanning electron microscopical photographs. Among the 42 species, 37 species belong to the Asterinaceae, four species to the Microthyriaceae and one species to the from group ‘Pycnothyriales’. Two species of Asterinaceae are new to sience: Asterina gaiadendricola with an Asterostomella anamorph and Asterina schlegeliae with a Mahanteshamyces anamorph. Among the remaining species of Asterinaceae, 28 species represent new records for Panama: Asterina cestricola, A. ciferriana, A. consobrina, A. corallopoda, A. davillae with anamorph, A. diplocarpa, A. diplopoda, A. ekmanii, A. fuchsiae, A. manihotis, A. phenacis, A. radiofissilis with anamorph, A. siphocampyli, A. sponiae, A. stipitipodia with anamorph, A. styracina, A. tonduzii with anamorph, A. weinmanniae, A. zanthoxyli, Asterostomella dilleniicola, Asterolibertia licaniicola, Asterolibertia nodulosa, Cirsosia splendida with its Homalopeltis chrysobalani anamorph and Prillieuxina winteriana with its Leprieurina winteriana anamorph. The remaining 11 species of Asterinaceae probably respresent new species: Asterina spp. 1-8, Asterolibertia sp., Halbanina sp. and Mahanteshamyces sp. The four species of Microthyriaceae are new records for Panama: Maublanica uleana, Platypeltella irregularis, Platypeltella smilacis and Xenostomella tovarensis. The species Hemisphaeropsis magnoliae in the form group ‘Pycnothyriales’ is a new record for Panama. During this study, voucher material of 44 additional species of plant parasitic thyriothecioid ascomycetes was examined. Thereby, the number of species of Asterinaceae known for Panama since 2006 raises from four to 30, for Microthyriaceae respectively from zero to four and for ‘Pycnothyriales’ from zero to one. 21 of the presented species are new records for Central America and two species are new records for the American Continent. The presented 42 species parasitize 47 host plant species in 39 genera belonging to 28 plant families. For 23 fungal species, new host plant species are discovered. From those, seven belong to host plant genera not reported before to be parasitized by a member of Asterinaceae and Microthyriaceae: Burmeistera (Campanulaceae), Curatella and Davilla (Dilleniaceae), Greigia (Bromeliaceae), Hirtella (Chrysobalanaceae), Oxandra and Xylopia (Annonaceae). In this study, the first molecular phylogenetic approach in Asterinaceae is provided. For the first time, DNA was isolated from fresh material of Asterina spp. and their respective anamorphic stages on leaves in Panama. The hypothesis derived from SSU and LSU rDNA neighbour-joining analysis supports the monophyly of the Asterinaceae and suggests a close relationship to Venturiaceae within the class Dothideomycetes. The data obtained from the ppMP project (plant parasitic microfungi of Panama) indicate a constant but low abundance of plant parasitic thyriothecioid ascomycetes in natural plant communities in Panama, with Asterinaceae as the most species-rich and diverse family. Further collection activities in tropical regions worldwide will certainly increase our knowledge about species diversity and ecology of tropical plant parasitic thyriothecioid ascomycetes.
In over 100 genera of tropical angiosperms, one or more species possess specialised structures for housing ants. The longevity and intimacy of these associations has often facilitated an increasing specialisation of both the ants and the plants, leading to a number of highly specific and obligate symbioses. Early literature contained only few anecdotal reports of the ant genus Cladomyrma WHEELER inhabiting (unidentified) plants. This work presents the new findings on Cladomyrma and its host plants that accumulated over the last two decades. My studies of Cladomyrma reveal that there is a largely overlooked community of south-east Asian plant-ants and their associated plants. Currently the genus consists of at least 12 species. Cladomyrma has been thought to be restricted to the ever-wet part of the West Malesian floristic region, comprising the Malay Peninsula, Borneo, and Sumatra, but recent collections from Thailand and Vietnam indicate that species of the genus penetrate the seasonal tropical forests of Continental Asia. Cladomyrma inhabits 24 plant species belonging to a surprisingly extensive range of plant taxa: Callerya, Saraca, Spatholobus (Fabaceae), Crypteronia (Crypteroniaceae), Drypetes (Putranjivaceae), Ryparosa (Achariaceae), Strychnos (Loganiaceae), Neonauclea (Rubiaceae), Luvunga (Rutaceae) and Sphenodesme (Verbenaceae). In terms of taxonomic diversity on the genus and family level the range of hosts utilised by Cladomyrma is one of the broadest ever recorded for any live stem-nesting plant-ant lineage worldwide. This work provides a species-level overview of all Cladomyrma host plants known from Borneo, the Malay Peninsula and Sumatra, including descriptions of ant-housing structures (domatia), ant inhabitant identity, onset of colonisation during plant ontogeny, nest structure, occupancy rate, and considerations of results obtained from herbarium specimens. Both the regularity of ant association and the degree of morphological specialisation toward myrmecophytism are assessed. The behavioural traits of Cladomyrma are compatible with traits exhibited by other protective plant-ants. This work demonstrates that all species of Cladomyrma investigated (dianeae, maschwitzi, yongi, petalae) confer antiherbivore protection to young leaves of its host. The ants also attack and repell or kill herbivorous insect larvae encountered on young foliage. Cleaning behaviour appears to be a trait shared by all members of the genus, and the two species tested (maschwitzi, petalae) successfully removed termite eggs experimentally placed onto young leaves. Another trait common to all known species of the genus is that the ants preferentially patrol young shoots and leaves ('neophily'). These behavioural traits of Cladomyrma likely reduce stem damage and pathogenic infection of their host. The ants prune encroaching vegetation (tested in dianeae maschwitzi, petalae, yongi, observed in crypteroniae) and attack paper tape used to mark host plants (observed in andrei, dianeae, hobbyi, nudidorsalis, maschwitzi, yongi, petalae). If these traits combined translate into a better reproductive success of the hosts has yet to be verified. Evidence for lifetime fitness benefits is particularly difficult to quantify for the long-lived woody host plants of Cladomyrma. The predominant food source of Cladomyrma appears to be the honeydew of scale insects (Coccidae and Pseudococcidae) which the ants tend inside their nest cavities. Observations on scale insect acquisition by Cladomyrma foundress queens show that hemipteran trophobionts are not transported by the queens on their nuptial flight but they nevertheless arrive on the host plant independently of the ants. Entry into nest chambers is facilitated by small holes kept open by the foundress queen. Most Cladomyrma species have been recorded from only one or two (three) host plant species (andrei, crypteroniae, hobbyi, maschwitzi, nudidorsalis, scopulosa, yongi), but two species, Cladomyrma petalae and C. dianeae, are more catholic in their host usage; the first being a 'generalist' plant-ant colonising hosts across a broad taxonomic range, the second inhabiting several members of the genus Neonauclea. First results of host-choice experiments with C. petalae are presented and the potential mechanisms promoting host specificity are discussed. My studies of the Cladomyrma/plant associations indicate that codiversification and host shifts or host expansions, rather than cospeciation, shape the pattern of species interactions in this system. Finally, I propose a scenario in which three key traits of Cladomyrma –access to live stems, utilisation of indirect food rewards via trophobionts and 'neophily'– are hypothesised to favour niche differentiation and the acquisition of new hosts over evolutionary time.
Specific functions of biological systems often require conformational transitions of macromolecules. Thus, being able to describe and predict conformational changes of biological macromolecules is not only important for understanding their impact on biological function, but will also have implications for the modelling of (macro)molecular complex formation and in structure-based drug design approaches. The “conformational selection model” provides the foundation for computational investigations of conformational fluctuations of the unbound protein state. These fluctuations may reveal conformational states adopted by the bound proteins. The aim of this work is to incorporate directional information in a geometry-based approach, in order to sample biologically relevant conformational space extensively. Interestingly, coarse-grained normal mode (CGNM) approaches, e.g., the elastic network model (ENM) and rigid cluster normal mode analysis (RCNMA), have emerged recently and provide directions of intrinsic motions in terms of harmonic modes (also called normal modes). In my previous work and in other studies it has been shown that conformational changes upon ligand binding occur along a few low-energy modes of unbound proteins and can be efficiently calculated by CGNM approaches. In order to explore the validity and the applicability of CGNM approaches, a large-scale comparison of essential dynamics (ED) modes from molecular dynamics (MD) simulations and normal modes from CGNM was performed over a dataset of 335 proteins. Despite high coarse-graining, low frequency normal modes from CGNM correlate very well with ED modes in terms of directions of motions (average maximal overlap is 0.65) and relative amplitudes of motions (average maximal overlap is 0.73). In order to exploit the potential of CGNM approaches, I have developed a three-step approach for efficient exploration of intrinsic motions of proteins. The first two steps are based on recent developments in rigidity and elastic network theory. Initially, static properties of the protein are determined by decomposing the protein into rigid clusters using the graph-theoretical approach FIRST at an all-atom representation of the protein. In a second step, dynamic properties of the molecule are revealed by the rotations-translations of blocks approach (RTB) using an elastic network model representation of the coarse-grained protein. In the final step, the recently introduced idea of constrained geometric simulations of diffusive motions in proteins is extended for efficient sampling of conformational space. Here, the low-energy (frequency) normal modes provided by the RCNMA approach are used to guide the backbone motions. The NMSim approach was validated on hen egg white lysozyme by comparing it to previously mentioned simulation methods in terms of residue fluctuations, conformational space explorations, essential dynamics, sampling of side-chain rotamers, and structural quality. Residue fluctuations in NMSim generated ensemble is found to be in good agreement with MD fluctuations with a correlation coefficient of around 0.79. A comparison of different geometry-based simulation approaches shows that FRODA is restricted in sampling the backbone conformational space. CONCOORD is restricted in sampling the side-chain conformational space. NMSim sufficiently samples both the backbone and the side-chain conformations taking experimental structures and conformations from the state of the art MD simulation as reference. The NMSim approach is also applied to a dataset of proteins where conformational changes have been observed experimentally, either in domain or functionally important loop regions. The NMSim simulations starting from the unbound structures are able to reach conformations similar to ligand bound conformations (RMSD < 2.4 Å) in 4 out of 5 cases of domain moving proteins. In these four cases, good correlation coefficients (R > 0.7) between the RMS fluctuations derived from NMSim generated structures and two experimental structures are observed. Furthermore, intrinsic fluctuations in NMSim simulation correlate with the region of loop conformational changes observed upon ligand binding in 2 out of 3 cases. The NMSim generated pathway of conformational change from the unbound structure to the ligand bound structure of adenylate kinase is validated by a comparison to experimental structures reflecting different states of the pathway as proposed by previous studies. Interestingly, the generated pathway confirms that the LID domain closure precedes the closing of the NMPbind domain, even if no target conformation is provided in NMSim. Hence, the results in this study show that, incorporating directional information in the geometry-based approach NMSim improves the sampling of biologically relevant conformational space and provides a computationally efficient alternative to state of the art MD simulations.