Institut für Ökologie, Evolution und Diversität
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In the light of emerging resistances against common drugs, new drug leads are required. In the past natural sources have been more yielding in this respect than synthetic strategies. Fungi synthesize many natural products with biological activities and pharmacological relevance. However, only a fraction of the estimated fungal diversity has been evaluated for biological activity, and much of the Fungi’s natural chemical diversity awaits discovery. Especially promising in this context are lichenized fungi. Lichens are well known for their particularly rich and characteristic secondary chemistry which allows them to withstand intense UV radiation, protects them against herbivory, and prevents them from being overgrown. The slow growth rates of lichens and difficulties and infeasibility of large scale cultivations in the laboratory render lichens inaccessible for applied purposes. These experimental challenges have led to a poor understanding of the molecular mechanisms underlying the biosynthesis of characteristic lichen secondary metabolites. The recent development of improved sequencing techniques has enabled new strategies to address multi-species assemblages directly through metagenome sequencing and survey their biosynthetic potential through genome mining. However, whole genome sequencing of entire lichen thalli to metagenomically assess the lichen-forming fungus without the need of cultivation has not been evaluated for lichens before. This approach will enable the reconstruction of fungal genomes from mixed DNA from lichen thalli and allow the exploration of biosynthetic gene content.
My thesis was conducted in two parts: a methodological evaluation of a metagenomic strategy to reconstruct genomes and gene sets of lichen-forming fungi, and the exploration of biosynthetic gene content with the help of comparative genomics and phylogenetics. For the first part, I evaluated the quality of metagenome-derived genome assemblies and gene sets by direct comparison to culture-derived reference assemblies and gene sets of the same species. I showed that metagenome-derived fungal assemblies are comparable to culture-derived references genomes and have a similar total genome size and fungal genome completeness. The quality of assemblies was affected strongly by the choice of assembler, but not by the method of taxonomic assignment or inference of non-mycobiont DNA sequences. The fungal gene space is well covered in metagenome-derived and culture-derived fungal gene sets and overlaps to 88-90 %. Finally, the metagenome-derived assemblies reliably recover gene families of secondary metabolism. This shows the suitability of metagenomically derived genomes for mining biosynthetic genes, and potentially also other gene families. Overall, the method validation showed a high similarity between metagenome- and culture-derived genome assemblies.
For the second part of my thesis, I explored the biosynthetic gene content in two different systems: Between two sister-species with different ecological requirements but similar chemical profile, and between two species which are metabolite-rich and economically relevant in the perfume industry. I compared the diversity of biosynthetic gene clusters between the species and in the broader context of other lichenized and non-lichenized fungi. Overall, the whole genome mining revealed a large number of uncharacterised secondary metabolite gene clusters in fifteen genomes of lichen-forming fungi compared to other fungal classes. Their number highly outweighs the number of known synthesized metabolites and highlights the hidden biosynthetic potential in lichen-forming fungi. Many biosynthetic gene clusters in the ecological distinct sister-species showed a high homology in accordance with the high synteny in gene content and order in both genomes. These clusters represent ideal candidates for secondary metabolites synthesized by both species, while the remaining clusters may encode for metabolites relevant for the different ecological requirements of both species. The metabolite-rich species used in the perfume industry showed a particularly high number of biosynthetic gene clusters. An in-depth characterization of architecture and gene content of homologous gene clusters together with hints from phylogenetic relatedness to functional characterized metabolites provides promising insights into the biosynthetic gene content of these lichen-forming fungi.
In conclusion, I showed that metagenome sequencing of natural lichen thalli is a feasible approach to reconstruct the fungal mycobiont genome of lichens and circumvent time-consuming and in some cases impossible cultivation of individuals. The genome mining for secondary metabolite gene clusters in lichen-forming fungi revealed a high biosynthetic potential for the discovery of new natural products. One of the focal species, Evernia prunastri, contained the highest ever reported number (80) of biosynthetic clusters in lichenized fungi. The comprehensive cluster characterizations through annotation, comparative mapping and phylogenetics provide first valuable hints for linking metabolites to genes in these lichen-forming fungi. My results pave the way for biotechnological strategies to unlock the vast richness of natural products from lichens for applied purposes.
Antagonistic and mutualistic species interactions provide important ecosystem functions affecting plant population dynamics and distribution. Many of these functions are important for the regeneration of plants, either by limiting or facilitating successful transition between life stages. Interactions can occur across the whole geographical range of a species and thereby encompass different environmental gradients, such as changes in temperature or water availability. Understanding the joint effects of species interactions and environmental factors on the regeneration of plants is key for understanding plant population dynamics under global change and could provide important recommendations for managing and conservation efforts.
My thesis aimed at advancing the knowledge of how species interactions depend on environmental conditions and jointly affect plant recruitment along the elevational distribution of plants. This thesis includes three chapters in which I studied the effects of animal seed deposition, seed predation, mycorrhizal and pathogenic fungi occurrences as well as abiotic and biotic environmental factors on the recruitment of Swiss stone pine (Pinus cembra). I conducted fieldwork in the Swiss Alps across the entire elevational distribution of the pine (1850 – 2250 m a.s.l). Over a period of three years, I recorded animal seed deposition by spotted nutcrackers (Nucifraga caryocatactes) and conducted seed translocation experiments. Further, I assessed fungal communities using DNA metabarcoding. I measured abiotic environmental factors such as temperature, water and light availability, pH, as well as biotic environmental factors such as distance to conspecific adults and ground vegetation cover. In my thesis, I used a broad range of community ecology approaches, from seed dispersal ecology to experimental plant ecology and microbial ecology.
First, I investigated the effects of environmental factors on four recruitment processes (i.e. seed deposition, seed predation, seed germination, seedling survival) of Swiss stone pine. Further, I aimed at identifying the most important recruitment processes potentially limiting pine regeneration across its elevational range. To investigate pine recruitment, I firstly tested how seed deposition, seed predation, seed germination and seedling survival were affected by the microhabitat characteristics ultimately determining where a seed arrives in the environment (i.e. canopy cover & ground vegetation cover). Secondly, I applied a sensitivity analysis to investigate which of the four recruitment processes poses limitation to the pines’ regeneration across its range. My results reveal that the importance of particular recruitment processes varies along the pines’ elevational range. I found that at the lower range margin and the distribution centre seed germination and seedling survival were the main limiting factors, whereas animal-mediated seed dispersal became especially important at the upper range margin. My study contributes to the field with a new approach for disentangling the relative importance of recruitment processes across environmental gradients and thereby could help to project how plant recruitment might respond to future changes in environmental conditions.
The second aim of my study was to investigate how abiotic and biotic environmental factors affect the occurrence of Swiss stone pine-associated pathogenic and mutualistic fungi by combining field measurements of environmental factors with a DNA metabarcoding approach. I identified potentially important fungal interaction partners of the pine and determined drivers shaping their occurrences. My results reveal that generalist fungi were not affected by abiotic and biotic environmental factors. However, specialist pathogens showed patterns according to the Janzen-Connell framework (i.e. accumulation of pathogen close to adult plants). Interestingly, I found evidence for an “inverse” Janzen-Connell effect, i.e. high abundance of a specialist mutualist close to adult plants, potentially mitigating effects of soil pathogens close to parent trees. Further, I found that pine-associated fungi are distributed widely within and beyond the range of their host plant, adding knowledge on how mutualisms and antagonisms might be affected when plants move their distributional range upwards.
Finally, I investigated how known and unknown plant-associated fungi affect the regeneration of Swiss stone pine in an environmental context. My results suggest that seedling establishment was most strongly affected by abiotic environmental factors, such as light availability and maximum summer temperature. Further, the results indicate that seedling survival was affected by biotic environmental factors, i.e. fungal agents, with high abundances of a known fungal pathogen co-occurring with low seedling survival rates. My results also reveal that known mycorrhizal partners as well as a large number of unknown fungal operational taxonomic units (OTUs) were associated with the survival of seedlings. My findings highlight the importance of plant-fungal interactions for plant recruitment and offer a feasible approach for the identification of hidden plant-fungal associations in highly complex DNA metabarcoding datasets. This approach offers a valuable tool for investigating plant-microbe interactions, ultimately helping to understand plant population dynamics.
My dissertation adds to a deeper understanding on the linkage between plant regeneration and species interactions, especially on how plant-animal and plant-fungal interactions in concert with environmental factors shape plant recruitment. My study reveals the importance of animal-mediated seed dispersal and fungal pathogens in plant recruitment with consequences for potential range shifts of plant species. My thesis has important implications for conservation and management efforts by informing on key species interactions under environmental change.
Im Rahmen dieser Dissertation wurden unterschiedliche Aspekte der Verbreitung der Vertreter des Pseudoterranova decipiens Komplexes betrachtet und Fragestellungen zur Ökologie und Humanpathogenität der Parasiten bearbeitet. Sie basiert auf drei (ISI-) Fachartikeln, in denen die Nutzung von Fischparasitengemeinschaften als ökologische Indikatoren für entlegene Ökosysteme des Südpolarmeeres (I), die Modellierung geeigneter Verbreitungsgebiete für Arten mit geringen Vorkommensdaten am Beispiel des P. decipiens Komplexes (II) und das Vorkommen potentiell humanpathogener P. bulbosa in unterschiedlichen Mikrohabitaten in Atlantischem Kabeljau (III) thematisiert wurde.
Die Parasitengemeinschaften der in Studie I untersuchten, nahverwandten Antarktisdorsche (Nototheniinae) Nototheniops larseni (n=40), N. nudifrons (n=40) und Lepidonotothen squamifrons (n=49) unterschieden sich hauptsächlich hinsichtlich seltener Parasitenarten. Pseudoterranova decipiens E zählte zu den häufigsten Parasiten der drei betrachteten Wirtsarten. Die Analyse der Wirtsspektren der auf Artebene bestimmten Parasiten zeigte eine geringe Spezifität antarktischer Fischparasiten im Larven- (z.B. Pseudoterranova decipiens E) und Adultstadium (z.B. Elytrophalloides oatesi). Für eine Nutzung als Bioindikatoren ergibt sich die Empfehlung, nicht auf einzelne Parasitenarten, sondern die Zusammensetzung von Parasitenfaunen zurückzugreifen und Parameter wie Abundanz oder Intensität zu berücksichtigen. Vergleiche mit Literaturdaten legten nahe, dass ein Studiendesign, das den periodischen Vergleich der Parasitierungsmuster von Nototheniinae ermöglichen soll, Standorteffekte berücksichtigen sollte. Da es sich bei der Probennahme demersaler Fische um ein aufwändiges und einschneidendes Verfahren handelt, sollten alternative Samplingmethoden vorangetrieben und eine Datenbasis dafür geschaffen werden.
Um die Belastung von Speisefischen mit potentiell humanpathogenen Parasiten in bestimmten Fanggebieten abzuschätzen, kann anhand von Vorkommens- und Umweltdaten mittels statistischer Modelle die Habitateignung für den Parasiten bestimmt werden. Eine Voraussetzung für eine verlässliche Modellierung bilden die Wahl eines geeigneten Algorithmus und die Qualität der Eingangsdaten. Für die Modellierung geeigneter Verbreitungsgebiete für die sechs Arten des P. decipiens Komplexes wurde im Rahmen von Studie II erstmalig ein biotischer Deskriptor herangezogen. Dem Ansatz lag die Annahme zugrunde, dass das Vorkommen geeigneter Endwirte der entscheidende, limitierende Faktor für die Verbreitung eines Parasiten ist, da nur so der Lebenszyklus geschlossen werden kann. Als Hypothesentest dienten Vergleiche der ökologischen Nischen von Parasiten und ihren spezifischen Endwirten im Nischenraum. Anhand der Endwirtdistanz wurde eine Verbesserung der Modellierungsergebnisse mit MaxEnt, gegenüber der ausschließlich auf abiotischen Prädiktoren basierenden Modellierung, für alle Pseudoterranova Arten, insbesondere jene mit einer geringen Anzahl Fundpunkte, erzielt. Grundsätzlich ist der Ansatz auf marine Parasitenarten, deren spezifische Endwirte verlässliche Vorkommensdaten aufweisen, übertragbar. Die Methode stellt jedoch keinen Ersatz für die Erhebung von Vorkommensdaten dar, weshalb die genetische Bestimmung schwer zu identifizierender Taxa sowie die Angabe von Metadaten in jeder parasitologischen Studie obligatorisch sein sollten.
Die Verteilung potentiell humanpathogener Parasitenstadien in für den menschlichen Verzehr vorgesehenen Fischen kann ein entscheidender Faktor für die Übertragung sein. Im Rahmen von Studie III wurde mit dem Referenztranskriptom von P. bulbosa das erste Transkriptom für eine Art den P. decipiens Komplexes erstellt. Anhand einer differentiellen Genexpressionsanalyse wurde untersucht, was die Verteilung der Parasiten auf unterschiedliche Mikrohabitate beeinflusst haben könnte. Dabei wurden siebzig differentiell exprimierte Gene identifiziert, die in aus Leber (32 Gene) und Viscera (38 Gene) von Atlantischem Kabeljau (Gadus morhua) isolierten Proben von P. bulbosa hochreguliert waren. Eine Erklärung für diesen subtilen Unterschied könnte ein Dauerstadium der P. bulbosa Larven zum Zeitpunkt der Probennahmen sein. Ob sich bestimmte Mikrohabitate innerhalb des Wirtes begünstigend auf den Parasiten auswirken, muss mit Hilfe experimenteller Studien gezeigt werden. Erste in Studie III erhobene Daten zum allergenen Potential von P. bulbosa sollten in serologischen Studien getestet werden. Als Grundlage für die Bewertung des pathogenen Potentials von P. bulbosa, sowie der weiteren Arten des P. decipiens Komplexes, sollten in experimentellen Studien NGS-Daten erhoben werden.
Im Rahmen dieser Dissertation wurde in drei methodisch unterschiedlichen Studien ein Bedarf besserer Referenzdaten aufgezeigt. Bestreben diese Datenlücken zu schließen, um das Potential der Methoden besser ausschöpfen zu können, müssen zukünftig noch weiter verstärkt werden.
Methods using environmental DNA to explore and analyze biodiversity from previously unexplored habitats and ecosystems have become increasingly popular in recent years. This is particularly due to the potential reduction in necessary taxonomic expertise, the opportunity to assess microorganismal communities, and decreased time investments required to cover large spatial extents. In forests, the surface of tree bark is an important habitat for epiphytic diversity. Because of the large surface area rich in micro-niches, the seasonal stability of the substrate, and the longevity of trees, tree bark surfaces provide an ideal habitat for many species. Yet, we lack a comprehensive understanding of their communities and the environmental drivers behind the community assembly. These missing links hinder the exploration of the forest microbiome as a whole and limits our understanding of functions of a large forest habitat and its connections to other forest microbiomes. With a holistic eDNA metabarcoding approach, encompassing samples of three major taxonomic groups (e.g. bacteria, fungi, and green algae), as well as simultaneous collections from multiple forest habitats we can contribute to closing these gaps and increase our knowledge of the forest microbiome.
My dissertation is set within the framework of the Biodiversity Exploratories and was conducted in four parts: I. the establishment of an eDNA metabarcoding workflow to reveal the local diversity of the bark surface microbiome; II. the upscaling of the method to large geographic and environmental gradients to uncover the drivers of the microbiome; III. the integration of soil and bark samples to investigate compositional differences in two important forest habitats; IV. the evaluation of eDNA metabarcoding as a tool for biodiversity assessments of lichen diversity in forests.
In the first part, I developed a simple, cost-effective and fast sampling strategy to acquire eDNA samples from the bark of trees in forest ecosystems. Using readily available medical-specimen-collection swabs I sampled bark surfaces of individual trees in Central German forests and used metabarcoding to amplify marker genes of green algae, fungi and bacteria. From the sequencing reads I calculated the first diversity estimates of the major organismal groups of bark surface microbiomes from Central European forests. Overall the methodology produced reliable results, allowing for an expanded sampling in the second part.
In the second part of the dissertation, I expanded the sampling based on the results of part one. I collected bark surface samples from the three regions of the Biodiversity Exploratories covering large spatial and environmental gradients representative for Central European forests. The collection included composite samples from 150 plots and over 750 trees. Utilizing measurements of climatic and forest structure variables provided by the Biodiversity Exploratories, as well as my own community data, I identified the biotic and abiotic drivers behind alpha and beta diversity of the bark surface microbiome.
In the third part, I studied the differences between the bark surface as an unexplored and the soil as an example of a well characterized forest microbiome. Using only the fungal part of the large sampling campaign and soil samples obtained from the same plots at the same time, I assessed the commonalities and differences of the micro-communities of these distinct forest niches. Furthermore, I included two coniferous and one deciduous tree species to examine, if the effect of tree species, previously shown for soil microbiomes, also holds true for the bark surface.
In the last part of my dissertation, I used eDNA in a more applied way as a tool in biodiversity assessments of lichenized fungi. I compared the results from eDNA metabarcoding to an expert floristic mapping conducted in the same plots in 2007/2008. I assigned functional guilds to the fungal taxa obtained in the large sampling campaign and used a subset that was assigned as lichenized fungi.
In conclusion, I showed that eDNA metabarcoding is a valuable tool to reveal the unknown diversity of microorganisms in forest ecosystems. In particular, my results advance our understanding of the bark surface microbiome, an underexplored habitat within forests. The tightly linked interactions of the three major microbial groups underline that studies need to take holistic approaches across multiple taxonomic groups to deepen our understanding of processes governing the assembly of microbiomes. Results from my dissertation may serve as a foundation to inform hypotheses addressing the functions of forest microbiomes. The massive diversity data collected may also contribute to closing the gap in our understanding of macro-organisms and micro-organisms with respect to diversity distributions and patterns of richness, and serve as a baseline for predictions of biodiversity responses under future anthropogenic change.