The biosphere harbors a large quantity and diversity of microbial organisms that can thrive in all environments. Estimates of the total number of microbial species reach up to 1012, of which less than 15,000 have been characterized to date. It has been challenging to delineate phenotypically, evolutionary and ecologically meaningful lineages such as for example, species, subspecies and strains. Even within recognized species, gene content can vary considerably between sublineages (for example strains), a problem that can be addressed by analyzing pangenomes, defined as the non-redundant set of genes within a phylogenetic clade, as evolutionary units. Species considered to be ecologically and evolutionary coherent units, however to date it is still not fully understood what are primary habitats and ecological niches of many prokaryotic species and how environmental preferences drive their genomic diversity. Majority of comparative genomics studies focused on a single prokaryotic species in context of clinical relevance and ecology. With accumulation of sequencing data due to genomics and metagenomics, it is now possible to investigate trends across many species, which will facilitate understanding of pangenome evolution, species and subspecies delineation. The major aims of this thesis were 1) to annotate habitat preferences of prokaryotic species and strains; 2) investigate to what extent these environmental preferences drive genomic diversity of prokaryotes and to what extent phylogenetic constraints limit this diversification; 3) explore natural nucleotide identity thresholds to delineate species in bacteria in metagenomics gene catalogs; 4) explore species delineation for applications in subspecies and strain delineation in metagenomics. The first part of the thesis describes methods to infer environmental preferences of microbial species. This data is a prerequisite for the analyses performed in the second part of the thesis which explores how the structure of bacterial pangenomes is predetermined by past evolutionary history and how is it linked to environmental preferences of the species. The main finding in this subchapter that habitat preferences explained up to 49% of the variance for pangenome structure, compared to 18% by phylogenetic inertia. In general, this trend indicates that phylogenetic inertia does not limit evolution of pangenome size and diversity, but that convergent evolution may overcome phylogenetic constraints. In this project we show that core genome size is associated with higher environmental ubiquity of species. It is likely this is due to the fact that species need to have more versatile genomes and most necessary genes need to be present in majority of genomes of that species to be highly prevalent. Taken together these findings may be useful for future predictive analyses of ecological niches in newly discovered species. The third part of the thesis explores data-driven, operational species boundaries. I show that homologous genes from the same species from different genomes tend to share at least 95% of nucleotide identity, while different species within the same genus have lower nucleotide identity. This is in line with other studies showing that genome-wide natural species boundary might be in range of 90-95% of nucleotide identity. Finally, the fourth part of the thesis discusses how challenges in species delineation are relevant for the identification of meaningful within-species groups, followed by a discussion on how advancements in species delineation can be applied for classification of within-species genomic diversity in the age of metagenomics. / Die Biosphäre beherbergt eine große Zahl verschiedener Mikroorganismen, die fast alle bekannten Lebensräume besiedeln können. Die Gesamtzahl mikrobieller Spezies liegt Schätzungen zu Folge bei bis zu 1012, von denen jedoch bis heute erst 15.000 beschrieben worden sind. Die Beschreibung von phänotypisch, evolutionsbiologisch und ökologisch kohärenten Spezies, Sub-Spezies oder Stämmen stellt Forscher vor konzeptionelle Herausforderungen. Selbst innerhalb anerkannter Spezies kann die Kombination einzelner Gene oft stark variieren. Diese Beobachtung ist die Grundlage der Analyse von Pan-Genomen. also der Konstellation originärer Gene innerhalb einer Abstammunsglinie, als evolutionsbiologische Einheiten. Spezies entsprechen prinzipiell ökologisch und evolutionär kohärenten Einheiten, jedoch sind die primären Habitate und ökologischen Nischen vieler prokaryotischer Spezies bis heute nur unzureichend beschrieben, insbesondere mit Blick auf den Einfluss ökologischer Präferenzen auf die Evolution von Genomen. Die Mehrheit vergleichender genomischer Studien untersucht einzelne prokaryotische Spezies mit Bezug auf deren klinische oder ökologische Relevanz. Aufgrund der wachsenden Verfügbarkeit genomischer Daten ist es nun jedoch möglich, vergleichende Studien über Speziesgrenzen hinweg durchzuführen, um allgemeine Prinzipien der Evolution von Pan-Genomen, Spezies und Sub-Spezies zu untersuchen. Die wesentlichen Ziele der vorliegenden Arbeit waren 1) die Annotation von Habitatpräferenzen prokaryotischer Spezies und Stämme; 2) die Quantifizierung des Einflusses von Umwelt und Evolutionsgeschichte (Phylogenie) auf die genomische Diversität von Prokaryoten; 3) die Bestimmung natürlicher Schwellenwerte der Genomsequenzähnlichkeit zwischen Spezies, auch anhand von Genkatalogen; 4) die Untersuchung der Abgrenzung zwischen Spezies, Sub-Spezies und Stämmen mithilfe metagenomischer Daten. Im ersten Teil der Arbeit werden Methoden zur Bestimmung ökologischer Präferenzen mikrobieller Spezies beschrieben. Die so gewonnenen Daten dienen in der Folge als Grundlage für die Quantifizierung von Umwelt- und evolutionsgeschichtlichen Einflüssen auf die Struktur und Evolution bakterieller Pan-Genome im zweiten Teil der Arbeit. Ein zentrales Ergebnis dieser Untersuchung war, dass bis zu 49% der strukturellen Varianz in Pan-Genomen durch Habitatpräferenzen erklärt werden kann, im Gegensatz zu lediglich 18% durch phylogenetische Trägheitseffekte. Dies zeigt, dass die Größe und Diversität von Pan-Genomen nicht phylogenetisch limitiert ist, insbesondere in Fällen von konvergenter Evolution. Große Kern-Genome sind ferner mit einer weiten ökologischen Verbreitung von Spezies assoziiert; eine mögliche Erklärung ist, dass weit verbreitete Spezies vielseitigere Genome mit mehr notwendigen Genen besitzen, die ein Überleben in vielfältigen Umgebungen ermöglichen. Die vorgelegte Arbeit kann weiterhin einen Beitrag zur Vorhersage ökologischer Profile neu beschriebener Spezies leisten. Im dritten Teil der Arbeit werden datenbezogene, operationelle Definition von Spezies-Grenzen untersucht. Es konnte gezeigt werden, dass Gene verschiedener Genome innerhalb derselben Spezies normalerweise mindestens 95% Ähnlichkeit der Nukleotidsequenz aufweisen, während die Ähnlichkeit zwischen Spezies desselben Genus geringer ausfällt. Dieser Wert liegt im Rahmen früherer Schätzungen. Der vierte Teil der Arbeit beschreibt abschließend die Herausforderungen bei der Bestimmung von evolutionären Linien innerhalb von Spezies und diskutiert anschließend, wie konzeptionelle Entwicklungen in dieser Frage für die Klassifizierung und Quantifizierung von Diversität anhand metagenomischer Daten genutzt werden kann.

Terrestrial environments are highly complex and dynamic. It consists of various types of soils which are constantly exposed to fluctuating conditions affecting their physical and biological properties. Moreover, soils are delivering several ecosystem services with high relevance for the human well-being such as water purification, nutrient cycling, or biodegradation. For many of those ecosystem services, microorganisms are the main drivers. In consequence, it is important to understand the functional response of microbial ecosystems to disturbances. Thus, identifying key factors for the functional stability of microbial ecosystems in terrestrial environments is of high interest. A powerful tool for analysing dynamics and underlying mechanisms of ecosystems are computational simulation models. Within this doctoral thesis, a spatiotemporally explicit bacterial simulation model was developed for assessing dynamics of biodegradation as a typical microbial ecosystem function under the influence of disturbances. Disturbances were introduced as lethal events for the bacteria within a certain, randomly picked disturbance area. The disturbance characteristics vary in the spatial configuration and frequency of the disturbance events. Functional stability was analysed in terms of the ability to recover the function after a single disturbance event, i.e. functional resilience, and the ability to maintain the function during recurrent disturbance events, i.e. functional resistance. Key factors for functional stability were assessed by systematically varying properties and processes of the microbial ecosystem and characteristics of the disturbance regime. Simulation results show a high influence of the disturbance characteristics, especially its spatial distribution pattern, on the stability of biodegradation. Functional resistance and resilience increase with fragmentation of the spatial pattern of the disturbances. The frequency of recurrent disturbance events proved also essential for the functional resistance: if the disturbances occur too often, the emergence of a functional collapse may not be preventable. However, if the fragmentation of the applied disturbance patterns increases, the function is also maintained under more frequent disturbances without a functional collapse. Ecological processes such as bacterial dispersal and growth are shown to enhance the biodegradation performance, but only under specific disturbance regimes, again depending on frequency and fragmentation of the disturbances. Dispersal networks are shown to increase the functional stability in many scenarios and, thus, may serve as a buffer mechanism against disturbances. Therefore, strategies facilitating these ecological processes, for instance stimulating fungi that act as dispersal networks for bacteria, or modulating the physical soil structure to alter the spatial configuration of disturbances are proposed to increase the functional stability of microbial ecosystems.

1. Microbial ecology According to Caumette et al. (2015) the term ecology is derived from the Greek words “oikos” (the house and its operation) and “logos” (the word, knowledge or discourse) and can, therefore, be defined as the scientific field engaged in the “knowledge of the laws governing the house”. This, in extension, results in the simple conclusion that microbial ecology represents the study of the relationship between microorganisms, their co-occurring biota and the prevailing environmental conditions (Caumette et al. 2015). The term microbial ecology has been in use since the early 1960s (Caumette et al. 2015) and microbial ecologists have made astonishing discoveries since. Microbial life at extremes such as in the hydrothermal vents (see Dubilier et al. 2008 and references therein) or the abundance of picophytoplankton (Waterbury et al. 1979; Chisholm et al. 1988) in the deep and surface waters of the oceans, respectively, are only a few of many highlights. Nevertheless, a microbial ecologist who, after leaving the field early in their career, now intends to return would hardly recognise again their former scientific field. The main reason for this hypothesis is to be found in the advances made to the methodologies employed in the field. Most of these were developed for biomedical research and were subsequently hijacked, sometimes followed by minor modifications, by microbial ecologists. The Author presents in this thesis scientific findings which, although spanning only a fraction of the era of research into microbial ecology, have been obtained using various modern tools of the trade. These studies were undertaken by the Author during his employment as postdoctoral scientist at Warwick University (UK), as member of staff at Plymouth Marine Laboratory (UK) and as scientist at the TU Bergakademie Freiberg. Although the scientific issues and the environmental habitats investigated by the Author changed due to funding constraints or due to change of work place (i.e. from the marine to the mining environment) the research shared, by and large, a common aim: to further the existing understanding of microbial communities. The methodological approach chosen to achieve this aim employed both isolation followed by the characterisation of microorganisms and culture independent techniques. Both of these strategies utilised again a variety of methods, but techniques in molecular biology represent a common theme. In particular, the polymerase chain reaction (PCR) formed the work horse for much of the research since it has been routinely used for the amplification of a marker gene for strain identification or analysis of the microbial diversity. To achieve this, the amplicons were either directly sequenced by the Sanger approach or analysed via the application of genetic fingerprint techniques or through Sanger sequencing of individual amplicons cloned into a heterologous host. However, the Author did not remain at idle while with these ‘classical’ approaches for the analysis of microbial communities, but utilised the advances made in the development of nucleotide sequence analysis. In particular, the highly parallelised sequencing techniques (e.g. 454 pyrosequencing, Illumina sequencing) offered the chance to obtain both high genetic resolution of the microbial diversity present in a sample and identification of many individuals through sequence comparison with appropriate sequence repositories. Moreover, these next generation sequencing (NGS) techniques also provided a cost-effective opportunity to extent the characterisation of microbial strains to non-clonal cultures and to even complex microbial assemblages (metagenomics). The work involving the high throughput sequencing techniques has been undertaken in collaboration with Dr Jack Gilbert (PML, lateron at Argonne National Laboratory, USA) and, since at Freiberg, with Dr Anja Poehlein (Goettingen University). These colleagues are thanked for their support with sequence data handling and analyses.

1. Microbial ecology According to Caumette et al. (2015) the term ecology is derived from the Greek words “oikos” (the house and its operation) and “logos” (the word, knowledge or discourse) and can, therefore, be defined as the scientific field engaged in the “knowledge of the laws governing the house”. This, in extension, results in the simple conclusion that microbial ecology represents the study of the relationship between microorganisms, their co-occurring biota and the prevailing environmental conditions (Caumette et al. 2015). The term microbial ecology has been in use since the early 1960s (Caumette et al. 2015) and microbial ecologists have made astonishing discoveries since. Microbial life at extremes such as in the hydrothermal vents (see Dubilier et al. 2008 and references therein) or the abundance of picophytoplankton (Waterbury et al. 1979; Chisholm et al. 1988) in the deep and surface waters of the oceans, respectively, are only a few of many highlights. Nevertheless, a microbial ecologist who, after leaving the field early in their career, now intends to return would hardly recognise again their former scientific field. The main reason for this hypothesis is to be found in the advances made to the methodologies employed in the field. Most of these were developed for biomedical research and were subsequently hijacked, sometimes followed by minor modifications, by microbial ecologists. The Author presents in this thesis scientific findings which, although spanning only a fraction of the era of research into microbial ecology, have been obtained using various modern tools of the trade. These studies were undertaken by the Author during his employment as postdoctoral scientist at Warwick University (UK), as member of staff at Plymouth Marine Laboratory (UK) and as scientist at the TU Bergakademie Freiberg. Although the scientific issues and the environmental habitats investigated by the Author changed due to funding constraints or due to change of work place (i.e. from the marine to the mining environment) the research shared, by and large, a common aim: to further the existing understanding of microbial communities. The methodological approach chosen to achieve this aim employed both isolation followed by the characterisation of microorganisms and culture independent techniques. Both of these strategies utilised again a variety of methods, but techniques in molecular biology represent a common theme. In particular, the polymerase chain reaction (PCR) formed the work horse for much of the research since it has been routinely used for the amplification of a marker gene for strain identification or analysis of the microbial diversity. To achieve this, the amplicons were either directly sequenced by the Sanger approach or analysed via the application of genetic fingerprint techniques or through Sanger sequencing of individual amplicons cloned into a heterologous host. However, the Author did not remain at idle while with these ‘classical’ approaches for the analysis of microbial communities, but utilised the advances made in the development of nucleotide sequence analysis. In particular, the highly parallelised sequencing techniques (e.g. 454 pyrosequencing, Illumina sequencing) offered the chance to obtain both high genetic resolution of the microbial diversity present in a sample and identification of many individuals through sequence comparison with appropriate sequence repositories. Moreover, these next generation sequencing (NGS) techniques also provided a cost-effective opportunity to extent the characterisation of microbial strains to non-clonal cultures and to even complex microbial assemblages (metagenomics). The work involving the high throughput sequencing techniques has been undertaken in collaboration with Dr Jack Gilbert (PML, lateron at Argonne National Laboratory, USA) and, since at Freiberg, with Dr Anja Poehlein (Goettingen University). These colleagues are thanked for their support with sequence data handling and analyses.