TY - JOUR A1 - Biscotti, Maria Assunta A1 - Gerdol, Marco A1 - Canapa, Adriana A1 - Forconi, Mariko A1 - Olmo, Ettore A1 - Pallavicini, Alberto A1 - Barucca, Marco A1 - Schartl, Manfred T1 - The Lungfish Transcriptome: A Glimpse into Molecular Evolution Events at the Transition from Water to Land JF - Scientific Reports N2 - Lungfish and coelacanths are the only living sarcopterygian fish. The phylogenetic relationship of lungfish to the last common ancestor of tetrapods and their close morphological similarity to their fossil ancestors make this species uniquely interesting. However their genome size, the largest among vertebrates, is hampering the generation of a whole genome sequence. To provide a partial solution to the problem, a high-coverage lungfish reference transcriptome was generated and assembled. The present findings indicate that lungfish, not coelacanths, are the closest relatives to land-adapted vertebrates. Whereas protein-coding genes evolve at a very slow rate, possibly reflecting a “living fossil” status, transposable elements appear to be active and show high diversity, suggesting a role for them in the remarkable expansion of the lungfish genome. Analyses of single genes and gene families documented changes connected to the water to land transition and demonstrated the value of the lungfish reference transcriptome for comparative studies of vertebrate evolution. KW - lungfish KW - transcriptome KW - genome KW - sarcopterygian fish Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-167753 VL - 6 IS - 21571 ER - TY - THES A1 - Blättner, Sebastian T1 - The role of the non-ribosomal peptide synthetase AusAB and its product phevalin in intracellular virulence of Staphylococcus aureus T1 - Die Rolle der nicht-ribosomalen Peptidsynthetase AusAB und ihres Produktes Phevalin in der intrazellulären Virulenz von Staphylococcus aureus N2 - Staphylococcus aureus is a prevalent commensal bacterium which represents one of the leading causes in health care-associated bacterial infections worldwide and can cause a variety of different diseases ranging from simple abscesses to severe and life threatening infections including pneumonia, osteomyelitis and sepsis. In recent times multi-resistant strains have emerged, causing severe problems in nosocomial as well as community-acquired (CA) infection settings, especially in the United States (USA). Therefore S. aureus has been termed as a superbug by the WHO, underlining the severe health risk originating from it. Today, infections in the USA are dominated by S. aureus genotypes which are classified as USA300 and USA400, respectively. Strains of genotype USA300 are responsible for about 70% of the CA infections. The molecular mechanisms which render S. aureus such an effective pathogen are still not understood in its entirety. For decades S. aureus was thought to be a strictly extracellular pathogen relying on pore-forming toxins like α-hemolysin to damage human cells and tissue. Only recently it has been shown that S. aureus can enter non-professional phagocytes, using adhesins like the fibronectin-binding proteins which mediate an endocytotic uptake into the host cells. The bacteria are consequently localized to endosomes, where the degradation of enclosed bacterial cells through phagosome maturation would eventually occur. S. aureus can avoid degradation, and translocate to the cellular cytoplasm, where it can replicate. The ability to cause this so-called phagosomal escape has mainly been attributed to a family of amphiphilic peptides called phenol soluble modulins (PSMs), but as studies have shown, they are not sufficient. In this work I used a transposon mutant library in combination with automated fluorescence microscopy to screen for genes involved in the phagosomal escape process and intracellular survival of S. aureus. I thereby identified a number of genes, including a non-ribosomal peptide synthetase (NRPS). The NRPS, encoded by the genes ausA and ausB, produces two types of small peptides, phevalin and tyrvalin. Mutations in the ausAB genes lead to a drastic decrease in phagosomal escape rates in epithelial cells, which were readily restored by genetic complementation in trans as well as by supplementation of synthetic phevalin. In leukocytes, phevalin interferes with calcium fluxes and activation of neutrophils and promotes cytotoxicity of intracellular bacteria in both, macrophages and neutrophils. Further ausAB is involved in survival and virulence of the bacterium during mouse lung pneumoniae. The here presented data demonstrates the contribution of the bacterial cyclic dipeptide phevalin to S. aureus virulence and suggests, that phevalin directly acts on a host cell target to promote cytotoxicity of intracellular bacteria. N2 - Staphylococcus aureus ist ein weit verbreitetes kommensales Bakterium, welches zugleich einer der häufigsten Verursacher von Krankenhausinfektionen ist, und eine Reihe verschiedener Krankheiten, angefangen bei simplen Abszessen, bis hin zu schweren Erkrankungen wie Lungenentzündung, Osteomylitis und Sepsis verursachen kann. Das Risiko durch nosokomiale sowie epidemische S. aureus Infektionen ist in den vergangenen Jahren weiter gestiegen. Dazu beigetragen hat das Auftreten multiresistenter und hoch cytotoxischer Stämme, vor allem in den USA. Als Konsequenz hat die WHO S. aureus inzwischen als „Superbug“ tituliert und als globales Gesundheitsrisiko eingestuft. Bei CA-Infektionen dominieren die Isolate der Klassifizierung USA300 und USA400, wobei den Erstgenannten bis zu 70% aller in den USA registrierten CA-MRSA Infektionen der letzten Jahre zugesprochen werden. Lange Zeit wurde angenommen, dass S. aureus strikt extrazellulär im Infektionsbereich vorliegt und die cytotoxische Wirkung von z.B. α-Toxin für Wirtszelltod und Gewebeschädigungen verantwortlich ist. Erst vor kurzem wurde festgestellt, dass S. aureus auch durch fakultativ phagozytotische Zellen, wie Epithel- oder Endothelzellen, mittels zahlreicher Adhäsine aufgenommen wird. Die Aufnahme in die Zelle erfolgt zunächst in ein Phagoendosom, in dem die Pathogene durch antimikrobielle Mechanismen abgebaut würden. Um dies zu verhindern, verfügt S. aureus über Virulenzfaktoren, welche die endosomale Membran schädigen. Die Bakterien gelangen so in das Zellzytoplasma, wo sie sich vervielfältigen können, bevor die Wirtszelle schließlich getötet wird. Eine wichtige Funktion in diesem Vorgang konnte bereits in mehreren Studien den Phenol löslichen Modulinen (PSM) zugesprochen werden, Arbeiten unserer Gruppe deuten jedoch darauf hin, dass diese nicht alleine für den phagosomalen Ausbruch von S. aureus verantwortlich sind. In dieser Arbeit verwendete ich eine Transposon Mutantenbibliothek des S. aureus Stammes JE2 (USA300) in Verbindung mit automatisierter Fluoreszenzmikroskopie, um Gene zu identifizieren, die den phagosomalen Ausbruch von S. aureus beeinflussen. Unter den Mutanten, welche eine Minderung der Ausbruchsraten zeigten, fanden sich auch Mutanten in beiden Genen eines Operons, welches für die nicht-ribosomale Peptidsynthetase AusA/B codiert, die die beiden Dipeptide Phevalin und Tyrvalin produziert. Verminderte Ausbruchsraten konnten sowohl durch genetische Komplementation als auch mittels des Zusatzes synthetischen Phevalins wiederhergestellt werden. In Leukozyten verhindert Phevalin effizienten Calcium-Flux und die Aktivierung von Neutrophilen. Zudem fördert Phevalin die Cytotoxizität intrazellulärer Bakterien sowohl in Makrophagen, als auch Neutrophilen. Darüber hinaus konnten wir zeigen, dass die NRPS AusAB und ihre Produkte eine Rolle beim Überleben der Bakterien während einer Infektion im Tiermodell einnehmen. Die hier präsentierten Daten hinsichtlich des Einflusses von Phevalin auf Virulenz und der Interaktion zwischen Wirt und Pathogen lassen den Schluss zu, dass Phevalin direkt auf einen Wirtszellfaktor wirkt, um die Cytotoxicität intrazellulärer Bakterien zu stärken. KW - Staphylococcus aureus KW - MRSA KW - Virulenz KW - Intracellular virulence KW - Non-ribosomal peptide synthetase KW - USA300 Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-146662 ER - TY - JOUR A1 - Blättner, Sebastian A1 - Das, Sudip A1 - Paprotka, Kerstin A1 - Eilers, Ursula A1 - Krischke, Markus A1 - Kretschmer, Dorothee A1 - Remmele, Christian W. A1 - Dittrich, Marcus A1 - Müller, Tobias A1 - Schuelein-Voelk, Christina A1 - Hertlein, Tobias A1 - Mueller, Martin J. A1 - Huettel, Bruno A1 - Reinhardt, Richard A1 - Ohlsen, Knut A1 - Rudel, Thomas A1 - Fraunholz, Martin J. T1 - Staphylococcus aureus Exploits a Non-ribosomal Cyclic Dipeptide to Modulate Survival within Epithelial Cells and Phagocytes JF - PLoS Pathogens N2 - Community-acquired (CA) Staphylococcus aureus cause various diseases even in healthy individuals. Enhanced virulence of CA-strains is partly attributed to increased production of toxins such as phenol-soluble modulins (PSM). The pathogen is internalized efficiently by mammalian host cells and intracellular S. aureus has recently been shown to contribute to disease. Upon internalization, cytotoxic S. aureus strains can disrupt phagosomal membranes and kill host cells in a PSM-dependent manner. However, PSM are not sufficient for these processes. Here we screened for factors required for intracellular S. aureus virulence. We infected escape reporter host cells with strains from an established transposon mutant library and detected phagosomal escape rates using automated microscopy. We thereby, among other factors, identified a non-ribosomal peptide synthetase (NRPS) to be required for efficient phagosomal escape and intracellular survival of S. aureus as well as induction of host cell death. By genetic complementation as well as supplementation with the synthetic NRPS product, the cyclic dipeptide phevalin, wild-type phenotypes were restored. We further demonstrate that the NRPS is contributing to virulence in a mouse pneumonia model. Together, our data illustrate a hitherto unrecognized function of the S. aureus NRPS and its dipeptide product during S. aureus infection. KW - cell death KW - cytotoxicity KW - Staphylococcus aureus KW - host cells KW - neutrophils KW - macrophages KW - transposable elements KW - epithelial cells Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-180380 VL - 12 IS - 9 ER - TY - JOUR A1 - Brunet, Frédéric G. A1 - Volff, Jean-Nicolas A1 - Schartl, Manfred T1 - Whole Genome Duplications Shaped the Receptor Tyrosine Kinase Repertoire of Jawed Vertebrates JF - Genome Biology Evolution N2 - The receptor tyrosine kinase (RTK) gene family, involved primarily in cell growth and differentiation, comprises proteins with a common enzymatic tyrosine kinase intracellular domain adjacent to a transmembrane region. The amino-terminal portion of RTKs is extracellular and made of different domains, the combination of which characterizes each of the 20 RTK subfamilies among mammals. We analyzed a total of 7,376 RTK sequences among 143 vertebrate species to provide here the first comprehensive census of the jawed vertebrate repertoire. We ascertained the 58 genes previously described in the human and mouse genomes and established their phylogenetic relationships. We also identified five additional RTKs amounting to a total of 63 genes in jawed vertebrates. We found that the vertebrate RTK gene family has been shaped by the two successive rounds of whole genome duplications (WGD) called 1R and 2R (1R/2R) that occurred at the base of the vertebrates. In addition, the Vegfr and Ephrin receptor subfamilies were expanded by single gene duplications. In teleost fish, 23 additional RTK genes have been retained after another expansion through the fish-specific third round (3R) of WGD. Several lineage-specific gene losses were observed. For instance, birds have lost three RTKs, and different genes are missing in several fish sublineages. The RTK gene family presents an unusual high gene retention rate from the vertebrate WGDs (58.75% after 1R/2R, 64.4% after 3R), resulting in an expansion that might be correlated with the evolution of complexity of vertebrate cellular communication and intracellular signaling. KW - receptor tyrosine kinase KW - vertebrates KW - deuterostomes KW - whole genome duplications Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-146988 VL - 8 IS - 15 ER - TY - JOUR A1 - Chagtai, Tasnim A1 - Zill, Christina A1 - Dainese, Linda A1 - Wegert, Jenny A1 - Savola, Suvi A1 - Popov, Sergey A1 - Mifsud, William A1 - Vujanic, Gordan A1 - Sebire, Neil A1 - Le Bouc, Yves A1 - Ambros, Peter F. A1 - Kager, Leo A1 - O`Sullivan, Maureen J. A1 - Blaise, Annick A1 - Bergeron, Christophe A1 - Holmquist Mengelbier, Linda A1 - Gisselsson, David A1 - Kool, Marcel A1 - Tytgat, Godelieve A.M. A1 - van den Heuvel-Eibrink, Marry M. A1 - Graf, Norbert A1 - van Tinteren, Harm A1 - Coulomb, Aurore A1 - Gessler, Manfred A1 - Williams, Richard Dafydd A1 - Pritchard-Jones, Kathy T1 - Gain of 1q As a Prognostic Biomarker in Wilms Tumors (WTs) Treated With Preoperative Chemotherapy in the International Society of Paediatric Oncology (SIOP) WT 2001 Trial: a SIOP Renal Tumours Biology Consortium Study JF - Journal of Clinical Oncology N2 - Purpose Wilms tumor (WT) is the most common pediatric renal tumor. Treatment planning under International Society of Paediatric Oncology (SIOP) protocols is based on staging and histologic assessment of response to preoperative chemotherapy. Despite high overall survival (OS), many relapses occur in patients without specific risk factors, and many successfully treated patients are exposed to treatments with significant risks of late effects. To investigate whether molecular biomarkers could improve risk stratification, we assessed 1q status and other potential copy number biomarkers in a large WT series. Materials and Methods WT nephrectomy samples from 586 SIOP WT 2001 patients were analyzed using a multiplex ligation-dependent probe amplification (MLPA) assay that measured the copy number of 1q and other regions of interest. Results One hundred sixty-seven (28%) of 586 WTs had 1q gain. Five-year event-free survival (EFS) was 75.0% in patients with 1q gain (95% CI, 68.5% to 82.0%) and 88.2% in patients without gain (95% CI, 85.0% to 91.4%). OS was 88.4% with gain (95% CI, 83.5% to 93.6%) and 94.4% without gain (95% CI, 92.1% to 96.7%). In univariable analysis, 1q gain was associated with poorer EFS (P<.001; hazard ratio, 2.33) and OS (P=.01; hazard ratio, 2.16). The association of 1q gain with poorer EFS retained significance in multivariable analysis adjusted for 1p and 16q loss, sex, stage, age, and histologic risk group. Gain of 1q remained associated with poorer EFS in tumor subsets limited to either intermediate-risk localized disease or nonanaplastic localized disease. Other notable aberrations associated with poorer EFS included MYCN gain and TP53 loss. Conclusion Gain of 1q is a potentially valuable prognostic biomarker in WT, in addition to histologic response to preoperative chemotherapy and tumor stage. KW - Poor-prognosis KW - Mutations KW - Gene KW - Drosha KW - MYCN KW - Mechanisms KW - Reveals KW - Event KW - Relapse KW - Locus Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-187478 VL - 34 IS - 26 ER - TY - JOUR A1 - Chen, Jiangtian A1 - Reiher, Wencke A1 - Hermann-Luibl, Christiane A1 - Sellami, Azza A1 - Cognigni, Paola A1 - Kondo, Shu A1 - Helfrich-Förster, Charlotte A1 - Veenstra, Jan A. A1 - Wegener, Christian T1 - Allatostatin A Signalling in Drosophila Regulates Feeding and Sleep and Is Modulated by PDF JF - PLoS Genetics N2 - Feeding and sleep are fundamental behaviours with significant interconnections and cross-modulations. The circadian system and peptidergic signals are important components of this modulation, but still little is known about the mechanisms and networks by which they interact to regulate feeding and sleep. We show that specific thermogenetic activation of peptidergic Allatostatin A (AstA)-expressing PLP neurons and enteroendocrine cells reduces feeding and promotes sleep in the fruit fly Drosophila. The effects of AstA cell activation are mediated by AstA peptides with receptors homolog to galanin receptors subserving similar and apparently conserved functions in vertebrates. We further identify the PLP neurons as a downstream target of the neuropeptide pigment-dispersing factor (PDF), an output factor of the circadian clock. PLP neurons are contacted by PDF-expressing clock neurons, and express a functional PDF receptor demonstrated by cAMP imaging. Silencing of AstA signalling and continuous input to AstA cells by tethered PDF changes the sleep/activity ratio in opposite directions but does not affect rhythmicity. Taken together, our results suggest that pleiotropic AstA signalling by a distinct neuronal and enteroendocrine AstA cell subset adapts the fly to a digestive energy-saving state which can be modulated by PDF. KW - neurons KW - neuroimaging KW - circadian rhythms KW - food consumption KW - sleep KW - biological locomotion KW - Drosophila melanogaster KW - signal peptides Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-178170 VL - 12 IS - 9 ER - TY - THES A1 - Cicova, Zdenka T1 - Characterization of a novel putative factor involved in host adaptation in Trypanosoma brucei T1 - Charakterisierung einer neuen Komponente für die Wirtsanpassung in Trypanosoma brucei N2 - Trypanosomes are masters of adaptation to different host environments during their complex life cycle. Large-scale proteomic approaches provide information on changes at the cellular level in a systematic way. However, a detailed work on single components is necessary to understand the adaptation mechanisms on a molecular level. Here we have performed a detailed characterization of a bloodstream form (BSF) stage-specific putative flagellar host adaptation factor (Tb927.11.2400) identified previously in a SILAC-based comparative proteome study. Tb927.11.2400 shares 38% amino acid identity with TbFlabarin (Tb927.11.2410), a procyclic form (PCF) stage specific flagellar BAR domain protein. We named Tb927.11.2400 TbFlabarin like (TbFlabarinL) and demonstrate that it is a result of a gene duplication event, which occurred in African trypanosomes. TbFlabarinL is not essential for growth of the parasites under cell culture conditions and it is dispensable for developmental differentiation from BSF to the PCF in vitro. We generated a TbFlabarinL-specific antibody and showed that it localizes in the flagellum. The co-immunoprecipitation experiment together with a biochemical cell fractionation indicated a dual association of TbFlabarinL with the flagellar membrane and the components of the paraflagellar rod. N2 - Trypansomen zeigen sich im Laufe ihres komplexen Lebeszyklus als Meister der Adaption an verschiedene Umweltbedingungen ihrer Wirte. Umfangreiche proteomische Analysen geben systematisch Auskunft über Änderungen auf zellulärer Ebene. Detailierte Arbeit an einzelnen Komponenten ist jedoch nötig, um die Adaptionsmechanismen auf molekularer Ebene zu verstehen. Wir haben im Rahmen dieser Arbeit eine detaillierte Charakterisierung eines stadienspezifischen mutmaßlich flagellaren Wirtsadaptionsfaktors der Blutstromform (BSF) durchgeführt (Tb927.11.2400), der zuvor in einer SILAC-basierten vergleichenden Proteomstudie idendifiziert wurde. Tb927.11.2400 teilt 38% der mit TbFlabarin (Tb927.11.2410), eines stadienspezifischen flagellaren BAR- domänen Proteins der prozyklischen Form (PCF). Wir haben Tb927.11.2400 TbFlabarin like (TbFlabarinL) genannt und zeigen, dass es das Ergebnis eines Genduplikations-Ereignisses darstellt, das in afrikanischen Trypanosomen aufgetreten ist. TbFlabarinL ist nicht essentiell für das Wachstum der Parasiten unter Zellkultur-Bedingungen und entbehrlich für den Differenzierungprozess von BSF zu PCF in vitro. Wir haben einen TbFlabarinL-spezifischen Antikörper entwickelt und zeigen, dass er in der Flagelle lokalisiert. Das Co-immunoprezipitations-Experiment deutet zusammen mit einer biochemischen Zellfraktionierung darauf hin, dass TbFlabarinL mit der flagellaren Membran und Komponenten der paraflagellaren Stab binär assoziiert ist. KW - Trypanosoma brucei KW - Wirt KW - Anpassung KW - stage specific regulation KW - Geißel KW - flagellum KW - Flabarin Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-142462 ER - TY - THES A1 - Costea, Paul Igor T1 - Stratification and variation of the human gut microbiota T1 - Stratifikation und Variation des menschlichen Darmmikrobioms N2 - The microbial communities that live inside the human gastrointestinal tract -the human gut microbiome- are important for host health and wellbeing. Characterizing this new “organ”, made up of as many cells as the human body itself, has recently become possible through technological advances. Metagenomics, the high-throughput sequencing of DNA directly from microbial communities, enables us to take genomic snapshots of thousands of microbes living together in this complex ecosystem, without the need for isolating and growing them. Quantifying the composition of the human gut microbiome allows us to investigate its properties and connect it to host physiology and disease. The wealth of such connections was unexpected and is probably still underestimated. Due to the fact that most of our dietary as well as medicinal intake affects the microbiome and that the microbiome itself interacts with our immune system through a multitude of pathways, many mechanisms have been proposed to explain the observed correlations, though most have yet to be understood in depth. An obvious prerequisite to characterizing the microbiome and its interactions with the host is the accurate quantification of its composition, i.e. determining which microbes are present and in what numbers they occur. Historically, standard practices have existed for sample handling, DNA extraction and data analysis for many years. However, these were generally developed for single microbe cultures and it is not always feasible to implement them in large scale metagenomic studies. Partly because of this and partly because of the excitement that new technology brings about, the first metagenomic studies each took the liberty to define their own approach and protocols. From early meta-analysis of these studies it became clear that the differences in sample handling, as well as differences in computational approaches, made comparisons across studies very difficult. This restricts our ability to cross-validate findings of individual studies and to pool samples from larger cohorts. To address the pressing need for standardization, we undertook an extensive comparison of 21 different DNA extraction methods as well as a series of other sample manipulations that affect quantification. We developed a number of criteria for determining the measurement quality in the absence of a mock community and used these to propose best practices for sampling, DNA extraction and library preparation. If these were to be accepted as standards in the field, it would greatly improve comparability across studies, which would dramatically increase the power of our inferences and our ability to draw general conclusions about the microbiome. Most metagenomics studies involve comparisons between microbial communities, for example between fecal samples from cases and controls. A multitude of approaches have been proposed to calculate community dissimilarities (beta diversity) and they are often combined with various preprocessing techniques. Direct metagenomics quantification usually counts sequencing reads mapped to specific taxonomic units, which can be species, genera, etc. Due to technology-inherent differences in sampling depth, normalizing counts is necessary, for instance by dividing each count by the sum of all counts in a sample (i.e. total sum scaling), or by subsampling. To derive a single value for community (dis-)similarity, multiple distance measures have been proposed. Although it is theoretically difficult to benchmark these approaches, we developed a biologically motivated framework in which distance measures can be evaluated. This highlights the importance of data transformations and their impact on the measured distances. Building on our experience with accurate abundance estimation and data preprocessing techniques, we can now try and understand some of the basic properties of microbial communities. In 2011, it was proposed that the space of genus level variation of the human gut microbial community is structured into three basic types, termed enterotypes. These were described in a multi-country cohort, so as to be independent of geography, age and other host properties. Operationally defined through a clustering approach, they are “densely populated areas in a multidimensional space of community composition”(source) and were proposed as a general stratifier for the human population. Later studies that applied this concept to other datasets raised concerns about the optimum number of clusters and robustness of the clustering approach. This heralded a long standing debate about the existence of structure and the best ways to determine and capture it. Here, we reconsider the concept of enterotypes, in the context of the vastly increased amounts of available data. We propose a refined framework in which the different types should be thought of as weak attractors in compositional space and we try to implement an approach to determining which attractor a sample is closest to. To this end, we train a classifier on a reference dataset to assign membership to new samples. This way, enterotypes assignment is no longer dataset dependent and effects due to biased sampling are minimized. Using a model in which we assume the existence of three enterotypes characterized by the same driver genera, as originally postulated, we show the relevance of this stratification and propose it to be used in a clinical setting as a potential marker for disease development. Moreover, we believe that these attractors underline different rules of community assembly and we recommend they be accounted for when analyzing gut microbiome samples. While enterotypes describe structure in the community at genus level, metagenomic sequencing can in principle achieve single-nucleotide resolution, allowing us to identify single nucleotide polymorphisms (SNPs) and other genomic variants in the gut microbiome. Analysis methodology for this level of resolution has only recently been developed and little exploration has been done to date. Assessing SNPs in a large, multinational cohort, we discovered that the landscape of genomic variation seems highly structured even beyond species resolution, indicating that clearly distinguishable subspecies are prevalent among gut microbes. In several cases, these subspecies exhibit geo-stratification, with some subspecies only found in the Chinese population. Generally however, they present only minor dispersion limitations and are seen across most of our study populations. Within one individual, one subspecies is commonly found to dominate and only rarely are several subspecies observed to co-occur in the same ecosystem. Analysis of longitudinal data indicates that the dominant subspecies remains stable over periods of more than three years. When interrogating their functional properties we find many differences, with specific ones appearing relevant to the host. For example, we identify a subspecies of E. rectale that is lacking the flagellum operon and find its presence to be significantly associated with lower body mass index and lower insulin resistance of their hosts; it also correlates with higher microbial community diversity. These associations could not be seen at the species level (where multiple subspecies are convoluted), which illustrates the importance of this increased resolution for a more comprehensive understanding of microbial interactions within the microbiome and with the host. Taken together, our results provide a rigorous basis for performing comparative metagenomics of the human gut, encompassing recommendations for both experimental sample processing and computational analysis. We furthermore refine the concept of community stratification into enterotypes, develop a reference-based approach for enterotype assignment and provide compelling evidence for their relevance. Lastly, by harnessing the full resolution of metagenomics, we discover a highly structured genomic variation landscape below the microbial species level and identify common subspecies of the human gut microbiome. By developing these high-precision metagenomics analysis tools, we thus hope to contribute to a greatly improved understanding of the properties and dynamics of the human gut microbiome. N2 - Die mikrobiellen Gemeinschaften innerhalb des menschlichen Darmtrakts – das menschliche Darm-Mikrobiom - sind wichtig für das Wohlbefinden und die Gesundheit des Wirts. Die Charakterisierung dieses neuen “Organs”, welches aus ähnlich vielen Zellen besteht wie der menschliche Körper, ist in jüngster Zeit durch technologische Fortschritte möglich geworden. Die Metagenomik, die direkte Hochdurchsatz-Sequenzierung mikrobieller DNA, ermöglicht die Aufnahme “genomischer Schnappschüsse” tausender verschiedener, in einem komplexen Ökosystem zusammenlebender Bakterien, ohne dafür auf deren Isolierung und Wachstum angewiesen zu sein. Die Quantifizierung des menschlichen Mikrobioms erlaubt es uns, seine Eigenschaften zu untersuchen und Verbindungen zu Wirtsphysiologie und -krankheiten zu knüpfen. Der Reichtum dieser Informationen ist unerwartet hoch und wahrscheinlich noch immer unterbewertet. Aufgrund der Tatsache, dass der Großteil unserer Ernährung und unseres Medikamentenkonsums unser Mikrobiom, welches wiederum selbst über verschiedene Arten mit unserem Immunsystem interagiert, beeinflusst, wurden viele Mechanismen vorgeschlagen, um die beobachteten Korrelationen zu erklären. Die meisten davon sind jedoch noch nicht vollständig verstanden. Eine offensichtliche Komponente zur Charakterisierung des Mikrobioms und dessen Interaktionen mit dem Wirt ist eine akkurate Quantifizierung seiner genauen Zusammensetzung, womit sowohl die Anwesenheit von bestimmten Bakterien als auch deren Anzahl gemeint ist. Obwohl etablierte Standardprozeduren zur Probenbehandlung, DNA- Extrahierung und Datenanalyse existieren, sind sie nicht immer für metagenomische Studien anwendbar, da sie für isolierte Bakterienkulturen entwickelt worden. Deswegen und auch wegen der Begeisterung, die neuartige Technologien mit sich bringen, nahmen sich die ersten metagenomischen Studien jeweils die Freiheit, ihre eigenen Protokolle und Herangehensweisen zu definieren. Die Metaanalyse dieser Studien zeigte, dass Unterschiede sowohl in der Probenbehandlung als auch in der statistischen Auswertung den Vergleich zwischen Studien sehr schwierig machen. Das wiederum beschneidet unsere Fähigkeit, Entdeckungen zu bestätigen und Daten über Studien hinweg zu kombinieren. Um die zwingend notwendige Standardisierung voranzutreiben haben wir einen umfassenden Vergleich von 21 verschiedenen DNA-Extraktionsmethoden sowie verschiedener weiterer Probenbehandlungen, welche Quantifizierungen beeinflussen, vorgenommen. Wir haben eine Reihe von Kriterien entwickelt, um die Messqualität in Abwesenheit von Mock-Kontrollen zu bestimmen und schlagen anhand dieser Methoden für Probenbeschaffung, DNA-Extraktion und Library- Generierung optimale Verfahren vor. Wenn diese als Standard akzeptiert werden, würde das eine stark verbesserte Vergleichbarkeit zwischen Studien ermöglichen und damit sowohl einen extremen Zuwachs an statistischer Power als auch unserer Fähigkeit, generelle Schlüsse über das Mikrobiom zu ziehen, zur Folge haben. Die meisten metagenomischen Studien teilen ihre Datensätze auf um Vergleiche anzustellen, z.B. zwischen Stuhlproben gesunder und erkrankter Menschen. Eine Vielzahl verschiedener Ansätze, welche wiederum oft mit verschiedenen Datenvorbehandlungen kombiniert werden, wurden vorgeschlagen, um Dissimilarität zwischen Gemeinschaften (Beta-Diversität) zu berechnen. Um metagenomische Daten auf Spezies-, Genus- und höheren Ebenen zu quantifizieren werden üblicherweise reads auf Referenzgenome bestimmter taxonomischer Einheiten aligniert und gezählt. Aufgrund technologieabhängiger Unterschiede in Sequenziertiefe müssen reads normalisiert werden, z.B. indem man alle counts durch die Gesamtanzahl der counts einer Sequenzierung teilt (total sum scaling), oder durch subsampling. Für die Messung der Gemeinschafts(dis)similarität wurden viele Distanzmaße vorgeschlagen. Da es schwierig ist diese Ansätze theoretisch zu vergleichen, haben wir ein biologisch motiviertes Konzept entwickelt, mit dem man Distanzmaße evaluieren kann. Dies unterstreicht die Wichtigkeit der Datentransformation und dessen Einwirkung auf Distanzmaße. Aufbauend auf unserer Erfahrung mit Häufigkeitsabschätzungen und Techniken zur Datenvorbehandlung können wir nun versuchen, grundlegende Eigenschaften mikrobieller Gemeinschaften zu verstehen. 2011 wurde vorgeschlagen, dass sich die Variation auf Genusebene im menschlichen Darm auf drei grundlegende Typen beschränkt, welche Enterotypen getauft wurden. Diese wurden in Datensätzen verschiedener Länder als unabhängig von Herkunft, Alter und anderer Wirtseigenschaften beschrieben. Die Enterotypen sind durch einen Cluster-Ansatz als „dicht besiedelte Bereiche in einem multidimensionalen Raum der Gemeinschaftszusammensetzung“ definiert und wurden als grundlegende Stratifikatoren für die menschlichen Population vorgeschlagen. Spätere Studien, welche dieses Konzept auf andere Datensätze anwandten, erhoben Zweifel bezüglich der optimalen Anzahl an Clustern und an der generellen Robustheit des Ansatzes. Dies leitete erneut eine langanhaltende Debate über die Existenz von Strukturen und die besten Wege, diese zu bestimmen und einzufangen, ein. Hier überdenken wir, in Anbetracht der stark gestiegenen Anzahl an verfügbaren Daten, das Enterotypen-Konzept. Wir schlagen ein überarbeitetes Konzept vor, in welchem die verschiedenen Enterotypen als schwache Attraktoren im multidimensionalen Raum verstanden werden und implementieren einen Ansatz zur Berechnung des Attraktors, der dem Datensatz am ähnlichsten ist. Dafür trainieren wir einen Klassifizierer auf einen Referenz- Datensatz, um neue Datensätze zuzuordnen. Damit ist Enterotypisierung nicht mehr datensatzabhängig und der Effekt von sampling bias ist minimiert. Indem wir ein Modell nutzen für das wir die Existenz dreier Enterotypen (definiert durch die selben Genera wie ursprünglich postuliert) annehmen, zeigen wir die Relevanz dieser Stratifikation und schlagen es in einem klinischen Zusammenhang als potentiellen Marker für Krankheitsfortschritt vor. Außerdem glauben wir, dass diese Attraktoren verschiedene Regeln mikrobieller Zusammensetzung widerspiegeln und schlagen vor, sie bei der Analyse von mikrobiellen Daten zu berücksichtigen. Während Enterotypen Struktur in der Gemeinschaft auf Genusebene beschreiben, kann metagenomische Sequenzierung prinzipiell Auflösung auf Nukleotidebene erreichen, womit single nucleotide polymorphisms (SNPs) und andere genomische Variationen im Darm- Mikrobiom identifiziert werden können. Analysemethoden für dieses Auflösungsniveau wurden erst kürzlich entwickelt und bis heute wurden diese erst wenig erforscht. Wir zeigen, dass die Landschaft an genomischer Variation von SNPs in einer großen, multinationalen Kohorte sogar über die Speziesebene hinaus geht und hochgradig strukturiert ist, was das Vorkommen klar abgrenzbarer Subspezies unter Darmmikroben suggeriert. In mehreren Fällen zeigen diese Subspezies geographische Stratifikation, wobei einige Subspezies nur in chinesischen Populationen vorkommen. Im Allgemein zeigen Sie jedoch nur eine geringfügige Beschränkung der Dispersion und sind in der Mehrzahl der Populationen vorhanden. Innerhalb eines Individuums dominiert häufig eine bestimmte Subspezies, nur selten dominieren verschieden gemeinsam im gleichen Ökosystem. Eine Analyse von Zeitreihenexperimenten deutet darauf hin, dass die dominante Subspezies über Zeiträume von mehr als drei Jahren stabil bleibt. Wenn man ihre funktionalen Eigenschaften untersucht findet man viele Unterschiede, von denen bestimmte relevant für den Wirt erscheinen. Zum Beispiel identifizieren wir eine Subspezies von E. rectale, welcher das Flagellum-Operon fehlt, die signifikant assoziiert ist mit geringerem BMI und geringerer Insulinresistenz ihres Wirts; sie korreliert zudem mit höherer mikrobieller Diversität. Diese Assoziationen konnten auf Speziesebene nicht gesehen werden (auf der mehrere Subspezies überlagert sind), was die Wichtigkeit dieser erhöhten Auflösung für ein umfassenderes Verständnis mikrobieller Interaktionen innerhalb des Mikrobioms und mit dem Wirt illustriert. Zusammenfassend bieten unsere Ergebnisse eine präzise Grundlage für vergleichende Metagenomik des menschlichen Darms, einschließlich Empfehlungen über experimentelles Sampling und statistische Analysen. Weiterhin verfeinern wir das Konzept der Enterotypen- Stratifikation in Gemeinschaften, entwickeln referenzbasierte Ansätze für Enterotypen- Zuordnung und bieten überzeugende Beweise für ihre Relevanz. Indem wir die volle Auflösung metagenomischer Sequenzierungen nutzen entdecken wir eine Landschaft hochgradig strukturierter genomischer Variation unterhalb der Speziesebene und identifizieren gemeinsame Subspezies des menschlichen Darm-Mikrobioms. Durch die Entwicklung dieser hochpräzisen metagenomischen Untersuchungsansätze tragen wir zu einem verbesserten KW - metagenomics KW - microbiology KW - Mensch KW - Darmflora KW - Metagenom Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-139649 ER - TY - JOUR A1 - da Cruz, Irene A1 - Rodríguez-Casuriaga, Rosana A1 - Santiñaque, Frederico F. A1 - Farías, Joaquina A1 - Curti, Gianni A1 - Capoano, Carlos A. A1 - Folle, Gustavo A. A1 - Benavente, Ricardo A1 - Sotelo-Silveira, José Roberto A1 - Geisinger, Adriana T1 - Transcriptome analysis of highly purified mouse spermatogenic cell populations: gene expression signatures switch from meiotic-to postmeiotic-related processes at pachytene stage JF - BMC Genomics N2 - Background Spermatogenesis is a complex differentiation process that involves the successive and simultaneous execution of three different gene expression programs: mitotic proliferation of spermatogonia, meiosis, and spermiogenesis. Testicular cell heterogeneity has hindered its molecular analyses. Moreover, the characterization of short, poorly represented cell stages such as initial meiotic prophase ones (leptotene and zygotene) has remained elusive, despite their crucial importance for understanding the fundamentals of meiosis. Results We have developed a flow cytometry-based approach for obtaining highly pure stage-specific spermatogenic cell populations, including early meiotic prophase. Here we combined this methodology with next generation sequencing, which enabled the analysis of meiotic and postmeiotic gene expression signatures in mouse with unprecedented reliability. Interestingly, we found that a considerable number of genes involved in early as well as late meiotic processes are already on at early meiotic prophase, with a high proportion of them being expressed only for the short time lapse of lepto-zygotene stages. Besides, we observed a massive change in gene expression patterns during medium meiotic prophase (pachytene) when mostly genes related to spermiogenesis and sperm function are already turned on. This indicates that the transcriptional switch from meiosis to post-meiosis takes place very early, during meiotic prophase, thus disclosing a higher incidence of post-transcriptional regulation in spermatogenesis than previously reported. Moreover, we found that a good proportion of the differential gene expression in spermiogenesis corresponds to up-regulation of genes whose expression starts earlier, at pachytene stage; this includes transition protein-and protamine-coding genes, which have long been claimed to switch on during spermiogenesis. In addition, our results afford new insights concerning X chromosome meiotic inactivation and reactivation. Conclusions This work provides for the first time an overview of the time course for the massive onset and turning off of the meiotic and spermiogenic genetic programs. Importantly, our data represent a highly reliable information set about gene expression in pure testicular cell populations including early meiotic prophase, for further data mining towards the elucidation of the molecular bases of male reproduction in mammals. KW - Spermatogenesis KW - Transcriptome KW - RNAseq KW - Flow cytometry Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-164574 VL - 17 ER - TY - JOUR A1 - De Palma, Adriana A1 - Abrahamczyk, Stefan A1 - Aizen, Marcelo A. A1 - Albrecht, Matthias A1 - Basset, Yves A1 - Bates, Adam A1 - Blake, Robin J. A1 - Boutin, Céline A1 - Bugter, Rob A1 - Connop, Stuart A1 - Cruz-López, Leopoldo A1 - Cunningham, Saul A. A1 - Darvill, Ben A1 - Diekötter, Tim A1 - Dorn, Silvia A1 - Downing, Nicola A1 - Entling, Martin H. A1 - Farwig, Nina A1 - Felicioli, Antonio A1 - Fonte, Steven J. A1 - Fowler, Robert A1 - Franzen, Markus Franzén A1 - Goulson, Dave A1 - Grass, Ingo A1 - Hanley, Mick E. A1 - Hendrix, Stephen D. A1 - Herrmann, Farina A1 - Herzog, Felix A1 - Holzschuh, Andrea A1 - Jauker, Birgit A1 - Kessler, Michael A1 - Knight, M. E. A1 - Kruess, Andreas A1 - Lavelle, Patrick A1 - Le Féon, Violette A1 - Lentini, Pia A1 - Malone, Louise A. A1 - Marshall, Jon A1 - Martínez Pachón, Eliana A1 - McFrederick, Quinn S. A1 - Morales, Carolina L. A1 - Mudri-Stojnic, Sonja A1 - Nates-Parra, Guiomar A1 - Nilsson, Sven G. A1 - Öckinger, Erik A1 - Osgathorpe, Lynne A1 - Parra-H, Alejandro A1 - Peres, Carlos A. A1 - Persson, Anna S. A1 - Petanidou, Theodora A1 - Poveda, Katja A1 - Power, Eileen F. A1 - Quaranta, Marino A1 - Quintero, Carolina A1 - Rader, Romina A1 - Richards, Miriam H. A1 - Roulston, T’ai A1 - Rousseau, Laurent A1 - Sadler, Jonathan P. A1 - Samnegård, Ulrika A1 - Schellhorn, Nancy A. A1 - Schüepp, Christof A1 - Schweiger, Oliver A1 - Smith-Pardo, Allan H. A1 - Steffan-Dewenter, Ingolf A1 - Stout, Jane C. A1 - Tonietto, Rebecca K. A1 - Tscharntke, Teja A1 - Tylianakis, Jason M. A1 - Verboven, Hans A. F. A1 - Vergara, Carlos H. A1 - Verhulst, Jort A1 - Westphal, Catrin A1 - Yoon, Hyung Joo A1 - Purvis, Andy T1 - Predicting bee community responses to land-use changes: Effects of geographic and taxonomic biases JF - Scientific Reports N2 - Land-use change and intensification threaten bee populations worldwide, imperilling pollination services. Global models are needed to better characterise, project, and mitigate bees' responses to these human impacts. The available data are, however, geographically and taxonomically unrepresentative; most data are from North America and Western Europe, overrepresenting bumblebees and raising concerns that model results may not be generalizable to other regions and taxa. To assess whether the geographic and taxonomic biases of data could undermine effectiveness of models for conservation policy, we have collated from the published literature a global dataset of bee diversity at sites facing land-use change and intensification, and assess whether bee responses to these pressures vary across 11 regions (Western, Northern, Eastern and Southern Europe; North, Central and South America; Australia and New Zealand; South East Asia; Middle and Southern Africa) and between bumblebees and other bees. Our analyses highlight strong regionally-based responses of total abundance, species richness and Simpson's diversity to land use, caused by variation in the sensitivity of species and potentially in the nature of threats. These results suggest that global extrapolation of models based on geographically and taxonomically restricted data may underestimate the true uncertainty, increasing the risk of ecological surprises. KW - bee community KW - land-use change KW - intensification KW - geographic biases KW - taxonomic biases KW - global dataset Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-167642 VL - 6 ER -