Institutes
Refine
Year of publication
- 2019 (35) (remove)
Document Type
- Doctoral Thesis (20)
- Article (10)
- Preprint (5)
Has Fulltext
- yes (35)
Is part of the Bibliography
- no (35)
Keywords
- Schülerlabor (2)
- prefrontal cortex (2)
- 2030 Agenda (1)
- ADAM15 (1)
- Aichi targets (1)
- Aphanomyces astaci (1)
- Apoptosis (1)
- Biodiversity tools and pipelines (1)
- Biogeography (1)
- Calmodulin (1)
Institute
- Biowissenschaften (35) (remove)
Die Neurowissenschaften sind in Forschungsarbeiten für Schüler und Studierende immer wieder als eines der schwierigsten Teilgebiete der Biologie angeführt. Die Inhalte werden überwiegend nicht verstanden. Als mögliche Ursache gelten die seltenen praktischen Zugänge für die Lernenden aufgrund limitierter Ressourcen. Diese Ursache konnte in der vorliegenden Arbeit durch eine Befragung der Lehrkräfte zu ihren Praxisumsetzungen bestätigt werden. 70 % der Lehrkräfte gaben an, dass sie keine Experimente in der Schule zum Thema Nervenzellen anbieten. Experimente zur Verhaltensbiologie führen 65 % der Lehrkräfte nicht durch.
Um Schülern die Möglichkeit zu geben, sich experimentell mit den Themenfeldern der Neuro- und Verhaltensbiologie auseinanderzusetzen, wurden im Rahmen der vorliegenden Arbeit Schülerlabortage auf dem Feld der Neurowissenschaften konzipiert. Die Konzepte wurden schülerorientiert umgesetzt und neurowissenschaftliche Forschung durch den eigenen Umgang mit modernen Forschungsapparaturen erfahrbar gemacht. Die drei Labortage für die Sekundarstufe II wurden wissenschaftlich begleitet: 1) Verhaltensbiologie, 2) systemische Ebene der Elektrophysiologie, 3) elektrophysiologische Forschungsmethoden. Um die Qualität und Wirksamkeit der Labortage beurteilen zu können, wurden sie mit Feedbackerhebungen begleitet. Die drei Labortage wurden sowohl von den Lehrkräften als auch von den Schülern bezüglich ihrer Qualität positiv bewertet. Für die Schüler konnte gezeigt werden, dass die Beurteilung weitgehend unabhängig von einem zugrunde liegenden Interesse an Biologie und Forschung ausfällt. Anhand einer retrospektiven Erhebung wird außerdem gezeigt, dass alle drei Labortage eine höchst signifikante, selbsteingeschätzte Steigerung des „Wissens“, der „Anwendungszuversicht“ und des „Interesses“ bewirken. Schüler mit niedrigen Ausgangswerten zeigen einen besonders hohen Anstieg. Für das Interesse kann weiter gezeigt werden, dass auch Schüler mit hohem Ausgangswert eine große Interessenssteigerung durch den Labortag aufweisen. Das Interesse für den verhaltensbiologischen Labortag liegt etwas niedriger – die Labortage mit elektrophysiologischen Inhalten zeigen dagegen für die Anwendungszuversicht etwas niedrigere Werte.
Der Fokus der fachdidaktischen Forschung lag auf der Betrachtung des experimentellen Zugangs zur Elektrophysiologie über ein entwickeltes „EPhys-Setup“. Dabei handelt es sich um einen quasi-realen Messaufbau. Die Umsetzung kombiniert dazu Komponenten eines realen Elektrophysiologie-Setups (Hands-on Komponenten) mit einer speziell entwickelten schülerfreundlichen Software (Neurosimulation) und einem virtuellen Nervensystem in Form einer Platine. Als Modellnervensystem werden für diese Umsetzung Ganglien von Hirudo medicinalis verwendet – der Neurosimulation liegen originale elektrophysiologische Messspuren des Ganglions zugrunde. Experimentelle Vermittlungsansätze für die Elektrophysiologie finden sich kaum für den Schulbereich. Dem Bedarf einer entsprechenden Beforschung wurde mit verschiedenen Testinstrumenten nachgegangen, um den Vermittlungsansatz mit dem EPhys-Setup bewerten zu können. Dafür fand eine Wirksamkeitsanalyse über die Erhebung der Motivation der Schüler statt (Lab Motivation Scale; Dohn et al. 2016). Von Bedeutung war auch, inwiefern gegenüber der Umsetzung eine Technologieakzeptanz vorliegt (Technology Acceptance Model; Davis 1989), die im Schulkontext ausgehend von der steigenden Einbindung von Technologien einen entsprechenden Forschungsbedarf aufweist. Weiter wurde untersucht, ob sich die Bewertung des EPhys-Setups von der Bewertung einer Kontrollgruppe unterscheidet. Für die Kontrollgruppe wurde die Neurosimulation von den Hands-on Komponenten gelöst und die Schüler arbeiteten ausschließlich PC-basiert. Die Ergebnisse zeigen, dass beide Umsetzungen die Motivation förderten und eine Technologieakzeptanz bei den Schülern aufwiesen. Der Unterschied der Untersuchungsgruppen fällt gering aus. Die Abhängigkeiten, die für die verwendete Simulationsumsetzung gefunden wurden, beziehen sich ausschließlich auf Komponenten der „Freude“. Somit wird der intrinsische Bereich von den Schülern die am EPhys-Setup gearbeitet haben höher bewertet. Zur weiteren Analyse der Testinstrumente wurde auch eine Abhängigkeit der Bewertung vom zugrunde liegenden Biologieinteresse sowie von den Computerfähigkeiten vergleichend betrachtet. Der Einfluss auf die Bewertungen der drei Testskalen ist in vielen Fällen höher als der Einfluss der verwendeten Simulation. Vom individuellen Biologieinteresse der Schüler zeigen alle untersuchten Komponenten eine Abhängigkeit. Die größeren Effekte beziehen sich auf die Komponenten der „Lernwirksamkeit“ oder der „Freude“. Von den individuellen Computerfähigkeiten der Schüler zeigen Komponenten zur „Zuversicht bezüglich der Methoden und der Inhalte“ eine Abhängigkeit.
Die Differenzierung zwischen Teilpopulationen hin zu unterschiedlichen Arten kann nur erfolgen, wenn zwischen diesen Teilpopulationen reproduktive Isolation besteht. Wie die unterschiedlichen Arten von reproduktiver Isolation zusammenwirken und welche Voraussetzungen bestehen müssen, um neue Arten zu bilden, muss in jedem Studiensystem untersucht werden. Ein idealer Ansatzpunkt sind Arten, die sich mehrfach an anspruchsvolle Habitate angepasst haben, deren Artbildung also von ökologischen Habitatparametern bestimmt wird. Dieser Vorgang wird als Ökologische Artbildung bezeichnet. Im Artkomplex Poecilia spec., der im Süden Mexikos mehrere schwefelangepasste Ökotypen ausgebildet hat, wurden erste Hinweise auf eine Korrelation zwischen der Selektionsstärke von natürlicher und sexueller Selektion gefunden, deren Einfluss zusammen die bestehenden reproduktiven Barrieren zwischen Klarwasser- und Schwefelökotyp formen. Wie diese Reproduktionsbarrieren beschaffen sind und wie die Umweltvariable Schwefel auf die Morphologie und das Verhalten der Poeciliiden Einfluss nimmt, wurde in der vorliegenden Arbeit anhand von fünf Fragestellungen untersucht. (1) Die Körperfärbung kann ein aussagekräftiges Signal für die Qualität des potentiellen Partners bei der Fortpflanzung sein. Wie beeinflusst die extreme Umweltvariable Schwefel die Ausbildung von Färbung? (2) Sind die gefundenen Anpassungen der Färbung erblich oder werden sie plastisch entsprechend des Nahrungsangebots ausgebildet? (3) In einem der untersuchten Flusssysteme konnte unvollständige reproduktive Isolation zwischen der Klarwasser- und Schwefelpopulation nachgewiesen werden. Sind in den Mischzonen zwischen diesen beiden Habitaten Hybriden genetisch nachweisbar und bilden diese die Färbungsanpassungen der Klarwasser-, der Schwefelpopulation oder eine intermediäre Form aus? (4) Die Gelbfärbung der Flossen bei Männchen scheint ein geeignetes Merkmal für die Anzeige der Qualität zu sein, da es möglicherweise unabhängig vom Nahrungsangebot ausgebildet wird. Besteht eine weibliche Präferenz für dieses Merkmal? (5) Auch die weibliche Partnerwahlpräferenz wird vom Habitat und dem eigenen Zustand beeinflusst. Wie verändert sich die Präferenz für Männchen mit gutem Ernährungszustand bei Weibchen, die hungrig sind?
Um diese Fragen zu beantworten, wurden in mehreren Jahren Männchen und Weibchen der Arten Poecilia mexicana und Poecilia sulphuraria aus sieben Populationen im Studiengebiet in Südmexiko gefangen und auf ihre Färbung untersucht sowie Laborpopulationen getestet. Es konnten generelle Anpassungen der Färbung an die Umweltvariable Schwefel nachgewiesen werden. Dazu gehören die Aufhellung der Körperregionen, die durch Tarnung (konkret: countershading und background matching) vor Entdeckung durch Prädatoren schützen, und die Reduktion von Gelb- und Rottönen. Diese Anpassung ist vermutlich auf das geringe Angebot an Karotinoiden in den schwefelbelasteten Extremhabitaten zurückzuführen. Außerdem konnten zahlreiche flusssystem¬spezifische Anpassungen beschrieben werden, deren Ursachen in den Unterschieden zwischen den Schwefelhabitaten untereinander begründet sind. Das Flusssystem des Río Tacotalpa stellt hier eine Besonderheit dar, da Männchen eine besonders starke Gelbfärbung der Flossen aufweisen. Wildgefangene und laborgeborene Männchen dieses Flusssystems wurden verglichen, um einen Hinweis auf den Einfluss des Nahrungsangebots auf dieses Merkmal zu untersuchen. Tatsächlich ist die Ausprägung dieses Merkmals, die Gelbfärbung der Flossen, unabhängig vom Angebot an Karotinoiden. Während die hier verwendeten genetischen Analysen nicht geeignet waren, Hybriden aus den Mischzonen zwischen Schwefel- und Klarwasserhabitat nachzuweisen, ergaben die Untersuchungen von Individuen aus den Mischzonen keine eindeutigen Ergebnisse über eine etwaige intermediäre Ausbildung der Färbung. Die Präsentation von Männchen, deren Gelbintensität an den Flossenspitzen künstlich verändert wurde, konnte bei Weibchen keine eindeutige Präferenz für stärker gefärbte Männchen aufzeigen. Vielmehr weist dieses Ergebnis auf eine starke Korrelation zwischen mehreren Merkmalen (z. B. weitere morphologische Merkmale, Verhalten) hin, die für die Beurteilung der männlichen Qualität herangezogen werden. Die weibliche Präferenz für konditionsabhängige Merkmale wird bei schwefelangepassten Weibchen leicht verstärkt, wenn diese hungrig sind. Eine solche flexible Präferenz sollte gerade in Habitaten mit starken Fluktuationen im Nährstoffangebot existieren. Dabei waren Weibchen, denen Videoaufnahmen präsentiert wurden, eher in der Lage, das qualitativ hochwertigere Männchen zu identifizieren, als Weibchen, denen animierte Bilder präsentiert wurden. Auch hier wird davon ausgegangen, dass die Reduktion auf eines oder wenige Merkmale, die für die Partnerwahl zur Verfügung stehen, keine ausreichend starke Reaktion auslösen können. Vielmehr ist der Zugriff auf alle Aspekte der männlichen Erscheinung wichtig, um die Qualität des potentiellen Partners zu beurteilen.
Färbung ist also generell geeignet, den Ökotyp eines Individuums zu bestimmen und ein solches Merkmal kann der Artbestimmung im ersten Schritt der Partnerwahl dienen. Dasjenige männliche Färbungsmerkmal, das über mehrere Generationen gleichbleibend ausgeprägt wurde – die Gelbfärbung der Flossen – reicht jedoch nicht aus, um bei der weiblichen Partnerwahl eine Reaktion auszulösen. Vielmehr deuten die Ergebnisse auf eine enge Korrelation der Färbung mit weiteren Merkmalen in Morphologie und Verhalten eines Individuums hin, die vom wählenden Weibchen stets gemeinsam entsprechend der Multiple-message-Theorie betrachtet werden. Auch der Vergleich zwischen Videoaufnahmen und animierten Fotografien als Stimuli bei der Partnerwahl ergab, dass der Aspekt Verhalten (nur verfügbar mit Videoaufnahmen) für eine Partnerwahlentscheidung von Bedeutung ist.
Meine Arbeit konnte den bestehenden Wissensschatz um die bestehenden reproduktiven Barrieren im Studiensystem um den Aspekt der Färbung erweitern. Meine Ergebnisse zeigen weitere spannende Fragestellungen auf. Je größer das Verständnis der vorliegenden Selektionskräfte und Mechanismen reproduktiver Isolation ist, desto besser kann die Wissenschaft verstehen, welche Umgebungsvariablen welchen Einfluss auf den Prozess der Artbildung haben.
Biodiversity is threatened worldwide because of ongoing habitat loss and fragmentation, overexploitation, pollution, biological invasions and a changing global climate. Due to the major importance of biological diversity for modern human living, efficient conservation and management strategies are required to protect endangered habitats and species. For this purpose, ambitious multilateral agreements on regional and global scale were declared to prevent biodiversity loss.
Efficient biomonitoring methods are required to adequately implement these biodiversity conventions. Species monitoring as a core activity in biodiversity research is an effective tool to assess the status of species and trends within habitats. Data collection can be obtained with visual, electronic or genetic surveys. Still, these monitoring programs can be expensive, laborious and inefficient for accurate species assessments. New techniques based on environmental DNA (eDNA) allows for the detection of DNA traces in environmental samples (soil, sediment, water and air samples) and open up new possibilities for species monitoring. The eDNA methodology enables detection of single species in a qualitative (presence/absence) or (semi-) quantitative way. eDNA metabarcoding approaches can be an effective community structure assessment method.
This thesis, located at the interface between experimental and applied research, illustrates the suitability of the eDNA methodology in applied biomonitoring using the example of the water-borne crayfish plague pathogen Aphanomyces astaci (Schikora 1906). The obtained results provide new insights into A. astaci sporulation dynamics in natural water courses. A. astaci sporulation is influenced by seasonal variation of water temperatures and life history traits (molting, activity, mating) of infected crayfish. The results also imply a high transmission risk of A. astaci spores during the complete year. This thesis compares two eDNA methods, which are successfully and consistently detecting A. astaci spores. Each approach is suitable for different biomonitoring tasks due to the method-specific requirements. The obtained results also reveal spatial variation in A. astaci occurance in the tested water bodies. A. astaci spore estimates are positively correlated with population density and pathogen loads of captured A. astaci- positive crayfish. eDNA results show a downstream zoospore transport of up to three kilometres distance from a distribution hot spot area of A. astaci-infected crayfish. The eDNA methodology is helpful in gaining reliable information on A. astaci occurrence in large water bodies. This information is urgently needed to initiate efficient management decisions for the conservation of European crayfish species.
eDNA-based methods such as for A. astaci detection are a useful complement for conventional monitoring and should have a strong impact on conservation policy. eDNA methodology will be helpful for the practical implementation of the main aims of key conservation agreements and thus will make important contributions to biodiversity protection.
The ability to vocalize is ubiquitous in vertebrates, but neural networks leading to vocalization production remain poorly understood. Here we performed simultaneous, large scale, neuronal recordings in the frontal cortex and dorsal striatum (caudate nucleus) during the production of echolocation and non-echolocation calls in bats. This approach allows to assess the general aspects underlying vocalization production in mammals and the unique evolutionary adaptations of bat echolocation. Our findings show that distinct intra-areal brain rhythms in the beta (12-30 Hz) and gamma (30-80 Hz) bands of the local field potential can be used to predict the bats’ vocal output and that phase locking between spikes and field potentials occurs prior vocalization production. Moreover, the fronto-striatal network is differentially coupled in the theta-band during the production of echolocation and non-echolocation calls. Overall, our results present evidence for fronto-striatal network oscillations in motor action prediction in mammals.
Durch natürliche Selektion werden Funktionen, die dem Überleben und dem Fortpflanzungserfolg eines Organismus dienen, optimiert. Da die Struktur eines Organs dessen Funktion und umgekehrt die Funktion eines Organs dessen Struktur bestimmt, kann durch das Studium der Morphologie die Funktionsweise von Organen verstanden werden. Trotz des umfangreichen Wissens über die Struktur von Nervensystemen sowohl auf mikro- als auch auf makroskopischer Ebene, ist es weiterhin unklar, wie Bewusstsein und ein kohärentes Abbild der Umwelt im Gehirn erzeugt werden. Der Grund hierfür ist vor allem die gewaltige Komplexität neuronaler Netzwerke, die unmöglich geistig erfasst werden können. Eine Möglichkeit, das Gehirn ohne das detaillierte Wissen über all seine Bestandteile zu verstehen, bietet das Studium von Optimierungsprinzipien und deren Anwendung in theoretischen Modellen. So wie eingangs erwähnt die Funktion von Organen durch natürliche Selektion optimiert wird, sollte auch die Funktion neuronaler Netzwerke optimiert werden und neuronale Netzwerke sollten entsprechend solcher Optimierungsprinzipien aufgebaut sein. Ein wichtiges Prinzip, das essenziell für die Effizienz neuronaler Netzwerke ist, ist die Minimierung der Verbindungslänge zwischen Neuronen. Basierend auf diesem Prinzip wurde im Rahmen dieser Dissertation eine algorithmische Methode etabliert, die es ermöglicht Vorhersagen der relativen Position von Neuronen anhand ihrer Verbindungen zu treffen. Diese neuronale Platzierungsmethode beruht darauf, dass Neuronen mit ähnlicher Verbindungsnachbarschaft näher zueinander platziert werden als zu Neuronen mit weniger ähnlichen Verbindungsnachbarn, wodurch die durchschnittliche Verbindungslänge minimiert wird. Nach der Etablierung dieser Methode, wurde diese benutzt um Modelle zu erstellen, die es ermöglichen die Entstehung neuronaler Karten und kortikaler Faltungen im Zusammenhang mit der Konnektivität und der Anzahl der Neuronen zu untersuchen.
Neuronale Karten sind geordnete Muster auf der Oberfläche des Kortex, die durch die präferierte Aktivität einzelner Neuronen in Antwort auf Stimuli einer Modalität beobachtet werden können. Im visuellen Kortex existieren sogar mehrere Karten, je nachdem welche Qualität visueller Stimuli man betrachtet. Abhängig von der Präferenz für einen Sehwinkel, ein stimuliertes Auge oder der Orientierung eines Balken-Stimulus, können retinotopische Karten, Karten mit streifenartigen Mustern oder Karten mit sogenannten „Pinwheel“-Strukturen beobachtet werden. Pinwheels sind periodische Strukturen, die sichtbar werden indem man die Orientierungspräferenz von Neuronen für die spezifische Orientierung eines Balken-Stimulus mit der entsprechenden Farbe des Farbkreises visualisiert. Da diese Strukturen eine Ähnlichkeit mit bunten Windrädern haben, werde sie als Pinwheels bezeichnet. Die in dieser Dissertation erstellten Modelle sagen vorher, dass die Entstehung strukturierter neuronaler Karten im Allgemeinen von der Anzahl der Neuronen abhängt. In der Tat könnte diese Abhängigkeit auch für neuronale Karten im Kortex gelten. Während strukturierte Karten im visuellen Kortex in verschiedenen Säugerordnungen wie Primaten, Karnivoren und Huftieren existieren, sind sie in kleinen Nagern mit weniger Neuronen nicht vorhanden, trotz ähnlicher Verbindungsspezifizität. Folglich müssen Unterschiede in der Struktur neuronaler Karten im Kortex nicht zwangsläufig mit einer unterschiedlichen Funktionsweise zusammenhängen, sondern könnten auch durch allgemeine Optimierungsprinzipien beim Aufbau neuronaler Netzwerke bedingt werden. Eine weitere Gemeinsamkeit zwischen verschiedenen Säugetierordnungen ist, dass die relative Dichte der Pinwheels ziemlich genau bei der Zahl Pi liegt. Entsprechend der Ergebnisse dieser Dissertation könnte dies dadurch erklärt werden, dass für neuronale Karten ähnlicher Struktur die Anzahl der Neuronen pro Pinwheel relativ konstant ist. Unterschiede in der räumlichen Dichte der Pinwheels könnten dann einfach durch Unterschiede in der Dichte der Neuronen erklärt werden.
Neben den Modellen für neuronale Karten wurde im Rahmen dieser Dissertation auch ein Modell kortikaler Faltungen mit derselben neuronalen Platzierungsmethode erstellt. Die Existenz kortikaler Faltungen wird gemeinhin damit erklärt, dass der Kortex ohne Faltungen wegen seiner verhältnismäßig großen Oberfläche nicht in den Schädel gepackt werden könnte. Allerdings haben Experimente gezeigt, dass die Faltungen nicht durch eine Restriktion des wachsenden Kortex an der Schädeloberfläche entstehen, da auch mit mehr Platz für die Expansion des Kortex die gleichen Faltungsmuster exprimiert werden. Interessanterweise entstehen die kortikalen Faltungen erst, wenn die Proliferation der Neuronen während der Entwicklung größtenteils abgeschlossen ist und die Neuronen anfangen ihre Verbindungen auszubilden. Um kortikale Faltungen basierend auf der Konnektivität zwischen Neuronen im Modell vorherzusagen, genügt es das allgemeine Muster einer starken lokalen, aber schwachen globalen Konnektivität zwischen Neuronen nachzubilden. Abhängig von Variationen dieser Konnektivität, der Anzahl der kortikalen Kolumnen und der Neuronenanzahl innerhalb dieser Kolumnen, können im Modell viele Eigenschaften kortikaler Faltungsmuster in Säugetieren vorhergesagt werden. Ähnlich wie in Säugetieren ist der Faltungsgrad der vom Modell vorhergesagt wird von dem Verhältnis zwischen Parametern, die die Größe und Dicke des Kortex beschreiben, abhängig. Dementsprechend werden mehr und mehr Faltungen mit steigender Anzahl der Kolumnen, aber gleicher Anzahl von Neuronen pro Kolumne vorhergesagt. Wie in Säugetieren entstehen dabei auch die größeren primären Faltungen zuerst bevor es innerhalb der größeren Faltungen zu kleineren Faltungen höherer Ordnung kommt. Neben der Abhängigkeit des Faltungsgrads von der Größe des Kortex können Variationen in der Konnektivität erklären, wie es einerseits zu stereotypischen Faltungsmustern kommen kann, aber andererseits auch warum der Faltungsgrad zwischen verschiedenen Säugerordnungen unterschiedlich mit der Größe des Kortex skaliert. Letztlich könnten pathologische Veränderungen der Konnektivität zu den entsprechenden Änderungen im Faltungsmuster führen.
Insgesamt wurde in dieser Arbeit gezeigt, dass mittels einfacher Prinzipien, die die Verbindung zwischen Neuronen und deren relative Position zueinander beschreiben, komplexe neuroanatomische Strukturen vorhergesagt werden können. Da mit derselben Methode zur neuronalen Platzierung sowohl neuronale Karten als auch kortikalen Faltungen, also sehr unterschiedliche Strukturen vorhergesagt werden konnten, stellt sich die Frage, ob diese Strukturen durch einen gemeinsamen biologischen Mechanismus entstehen. Neuronale Zugkräfte sind ein möglicher Mechanismus, der die Entstehung kortikaler Faltungen erklären könnte. Auch wenn es eher unwahrscheinlich ist, dass die Entstehung neuronaler Karten von Zugkräften zwischen Neuronen abhängt, kann es nicht vollständig ausgeschlossen werden. Ob solche Kräfte an der Selbstorganisation neuronaler Netzwerke beteiligt sein könnten, ist eine interessante Fragestellung für zukünftige empirische Studien.
Cardiovascular diseases are still regarded as the main cause of death in the modern world. However, the generic term "cardiovascular diseases" is not uniformly defined. It essentially describes diseases of the cardiovascular system and includes diseases such as hypertension, arteriosclerosis, myocardial infarctions, heart failure, coronary heart diseases, rheumatic heart diseases and heart valve defects. In addition to the well-known risk factors such as obesity, smoking, hypercholesterolemia and lack of exercise, age is a further risk factor that plays an important role in the development of cardiovascular diseases. As the modern societies age; this becomes an increasing problem.
But why does the prevalence of cardiovascular diseases increase with age? In gen-eral, age-dependent changes at the cellular level are assumed to be responsible for the pathological changes in the cardiac and vascular tissues. Important mechanisms such as autophagy, oxidative stress, mitochondrial dysfunctions, genomic instability, cellular senescence and disturbances in signaling pathways of growth factors play a decisive role. In old age, myocardial hypertrophy occurs, which results in cardiac wall thickening and an altered geometry of the ventricle. Chronic inflammations, paracrine and age-dependent cell-intrinsic factors further lead to activation of cardiac fibro-blasts with increase cell proliferation, collagen secretion and matrix cross-linking. The consequences are interstitial and perivascular fibrosis, which stiffen the heart and blood vessels. Oxidative stress and inflammations additionally attack the blood ves-sels and impair endothelial function, which is further aggravated by possible pre-existing conditions such as diabetes mellitus and hypertension.
In the past decades, the main focus has therefore been on researching these age-dependent changes in the hope of better understanding cardiovascular ageing and developing possible regenerative interventions. By studying the repair mechanisms of other organs such as the lungs and the bone marrow, the endothelium in particular showed a high regenerative capacity, which influences the proliferation and cell func-tion of the surrounding cells.
For a long time, the general opinion was that the endothelium is only the internal lin-ing of blood and lymphatic vessels, as well as the heart chambers, which as a single-layer barrier guarantees the integrity of the blood vessels. However, endothelial cells are very heterogeneous, depending on the type of blood vessel and the type of tis-sue they serve. In addition to their barrier function, endothelial cells also regulate the exchange of substances between blood and tissue, stimulate the formation of new blood vessels and re-model existing vascular networks. They are also able to re-structure the extracellular matrix that surrounds them. They release not only matrix proteins, but also cytokines and growth factors into the extracellular space. On de-mand, these factors are then released and stimulate angiogenesis or cell prolifera-tion. In addition, the secretion of various matrix proteins not only stabilizes the cellu-lar neighborhood, but also regulates various cell functions.
By modelling the endothelial environment - the so-called vascular niche - endothelial cells are able to communicate with the surrounding cells. As a result, a regenerative effect of the vascular niche has already been described in various organs. In the liv-er, for example, it has been shown that increased concentrations of endothelial Ang2 and decreased endothelial activin A after partial hepatectomy stimulate the prolifera-tion of hepatocytes and thus liver regeneration. In the bone marrow, endothelial cells mobilize stem cells via nitric oxide and in the lungs, endothelial MMP14 releases growth factors from the extracellular matrix, which stimulate epithelial cell prolifera-tion after partial pneumectomy. Whether such a regenerative effect of the vascular niche also plays a role in the heart is largely unknown.
Since both the regenerative capacity of the heart and endothelial function decrease with age, the aim of this dissertation was to investigate the role of the vascular niche and endothelial cell communication in the aged heart. Human cell lines as well as mouse and artificial rat models were used for these investigations. Since this thesis is a cumulative dissertation with partially published papers, it is divided into three parts.
In the first part of this thesis, the transcriptional signature of secretory genes in the aged cardiac endothelium was studied. Perfused endothelial cells from hearts of young (12-week-old animals) and old mice (20-month-old animals) were isolated and used for bulk RNA sequencing. The two matrix proteins laminin β1 and β2 were among the top-regulated genes. While laminin β2 was particularly expressed in the young cardiac endothelium, laminin β1 was predominantly found in the old endotheli-um. This change in laminin expression was confirmed histologically at protein level and its autocrine function was investigated in vitro. To mimic the in vivo situation in vitro, cell culture dishes were coated with human recombinant laminin 421 or laminin 411 and sutured with human endothelial cells from the umbilical vein (HUVEC). Di-verse functional investigations showed that endothelial cells migrated and adhered poorly in the presence of laminin 411, while in Matrigel tube formation assays HU-VEC formed reduced endothelial networks when cultured on LM 411.
...
Investigating the influence of truffle´s microbiome and genotype on the aroma of truffle fungi
(2019)
Truffles (Tuber spp.) are belowground forming fungi that develop in association with roots of various host trees and shrubs. Their fruiting bodies are renowned for their enticing aromas which vary considerably, even within truffles of the same species. This aroma variability might be attributed to factors such as geographical origin, degree of fruiting body maturation, truffle genotype and microbiome (microbial communities that colonise truffle fruiting bodies) which often co-vary. Although the influence of specific factors is highlighted by several studies, discerning the contribution of each factor remains a challenge since it requires an appropriate experimental design. The primary purpose of this thesis was to gain insight into the influence of truffle’s genotype and microbiome on truffle aroma.
This doctoral thesis is comprised of four chapters. Chapter1 (Vahdatzadeh et al., 2018) aimed to exclusively elucidate the influence of truffle genotype on truffle aroma by investigating the aroma of nine mycelial strains of the white truffle Tuber borchii. We also assessed whether strain selection could be employed to improve the human- perceived truffle aroma. Quantitative differences in aroma profiles among strains could be observed upon feeding of amino acids. Considerable aroma variabilities among strains were attributed to important truffle volatiles, many of which might be derived from amino acid catabolism through the Ehrlich pathway. 13 C-labelling experiments confirmed the existence of the Ehrlich pathway in truffles for leucine, isoleucine, methionine, and phenylalanine. Sensory analyses further demonstrated that the human nose can differentiate among strains. Our results illustrated the influence of truffle genotype on truffle aroma and showed how strain selection could be used to improve the human-perceived truffle aroma.
In chapter 2 the existing knowledge on the composition of bacterial community of four truffle species was compiled using meta-analysis approach (Vahdatzadeh et al., 2015). We highlighted the endemic microbiome of truffle as well as similarities and differences in the composition of microbial community within species at various phases of their life cycle. Furthermore, the potential contribution of truffle microbiome in the formation of truffle odorants was studied. Our findings showed that truffle fruiting bodies harbour complex microbial community composed of bacteria, yeasts, filamentous fungi, and viruses with bacteria being the dominant group. Regardless of truffle species, the composition of endemic microbiome of fruiting bodies appeared very similar and was dominated by α-Proteobacteria class. However, striking differences were observed in the bacterial community composition at various stages of the life cycle of truffle.Our analyses further suggested that odorants common to many truffle species might be produced by both truffle fungi and microbes, whereas specific truffle odorants might be derived from microbes only. Nevertheless, disentangling the origin of truffle odorants is very challenging, since acquiring microbe-free fruiting bodies are currently not possible.
Chapter 3 (Splivallo et al., 2019) further characterises truffle-associated bacterial communities of fruiting bodies of the black truffle T. aestivum from two different orchards. It aimed at defining the native microbiome in this truffle species, evaluating the variability of their microbiome across orchards, and assessing factors that shape assemblages of the bacterial communities. The dominant bacterial communities in T. aestivum revealed to be similar in both orchards: although a large portion of fruiting bodies were dominated by the α-Proteobacteria class (Bradyrhizobium genus) similar to other so far-assessed truffle species, in few cases β-Proteobacteria (Polaromonas genus), or Sphingobacteria (Pedobacter genus) were found to be predominant classes. Moreover, factors shaping bacterial communities influenced the two orchards differently, with spatial location within the orchard being the main driver in Swiss orchard and collection season in the French one. Surprisingly, in contrast to other fungi, truffle genotype and the degree of fruiting body maturity seemed not to contribute in shaping the assembly of truffle microbiome. Altogether, our data highlighted the existence of heterogeneous bacterial communities in T. aestivum fruiting bodies which are dominated by either of the three bacterial classes and mainly by the α-Proteobacteria class, irrespective of geographical origin. They further illustrated that determinants driving the assembly of various bacterial communities within truffle fruiting bodies are site-specific. Truffles are highly perishable delicacies with a short shelf life (1-2 weeks), and their aroma changes profoundly upon storage. Since truffle aroma might be at least partially produced by the truffle microbiome, chapter 4 (Vahdatzadeh et al., 2019) focuses on assessing the influence of the truffle microbiome on aroma deterioration of T.aestivum during post harvest storage. Specifically, volatile profile and bacterial communities of fruiting bodies collected from four different regions (three in France and one in Switzerland) were studied over nine days of storage. Our findings demonstrated the gradual replacement of dominant bacterial classes in fresh truffles (α-Proteobacteria, β-Proteobacteria, and Sphingobacteria) by food spoilage bacteria (members of γ- Proteobacteria and Bacilli classes), regardless of the initial diversity of the bacterial classes. This shift in the bacterial community also correlated with changes in volatile profiles, and markers for truffle freshness and spoilage could be identified. Ultimately, network analysis illustrated possible links among those volatile markers and specific bacterial classes. Our data showed that storage deeply influenced the composition of bacterial community as well as aroma of truffle fruiting bodies. They also illustrated the correlation between the shift in truffle microbiome, from commensal to detrimental, and the change of aroma profile, possibly leading to the loss of fresh truffle aroma. Overall, the work undertaken in this thesis demonstrated that truffle genotype and microbiome had a stronger influence on truffle aroma than previously believed.
Acetogenic bacteria are a group of strictly anaerobic bacteria that may have been first life forms on Earth since they employ an ancient pathway for CO2 fixation into acetyl-CoA that is coupled to the synthesis of ATP, the Wood–Ljungdahl pathway. Electrons for CO2 reduction are derived from oxidation of H2 or CO and thus, these bacteria can grow lithotrophically on gases present on early Earth. Among the organic molecules present on early Earth is acetaldehyde, a highly volatile C2 compound. Here, we demonstrate that the acetogenic model bacterium Acetobacterium woodii grows on acetaldehyde. Acetaldehyde is dismutated to ethanol and acetyl-CoA, most likely by the bifunctional alcohol dehydrogenase AdhE. Acetyl-CoA is converted to acetate by two subsequent enzymes, phosphotransacetylase and acetate kinase, accompanied by the synthesis of ATP by substrate-level phosphorylation. Apparently, growth on acetaldehyde does not employ the Wood–Ljungdahl pathway. Our finding opens the possibility of a simple and ancient metabolic pathway with only three enzymes that allows for biomass (acetyl-CoA) and ATP formation on early Earth.
Bacteria of the genera Photorhabdus and Xenorhabdus produce a plethora of natural products to support their similar symbiotic lifecycles. For many of these compounds, the specific bioactivities are unknown. One common challenge in natural product research when trying to prioritize research efforts is the rediscovery of identical (or highly similar) compounds from different strains. Linking genome sequence to metabolite production can help in overcoming this problem. However, sequences are typically not available for entire collections of organisms. Here we perform a comprehensive metabolic screening using HPLC-MS data associated with a 114-strain collection (58 Photorhabdus and 56 Xenorhabdus) from across Thailand and explore the metabolic variation among the strains, matched with several abiotic factors. We utilize machine learning in order to rank the importance of individual metabolites in determining all given metadata. With this approach, we were able to prioritize metabolites in the context of natural product investigations, leading to the identification of previously unknown compounds. The top three highest-ranking features were associated with Xenorhabdus and attributed to the same chemical entity, cyclo(tetrahydroxybutyrate). This work addresses the need for prioritization in high-throughput metabolomic studies and demonstrates the viability of such an approach in future research.
Alternative splicing (AS) is a co- or post-transcriptional process by which one gene gives rise to multiple isoforms. This ‘split and combine’ step multiplies eukaryotic proteome diversity several fold and is implicated in several diseases given its pervasive impact. Control of alternative splicing is brought about by cis-regulatory elements, such as RNA sequence and structure, which recruit trans-acting RNA-binding proteins (RBPs). Although several of these interactions are already described in detail, we lack a comprehensive understanding of the regulatory code that underlies a splicing decision.
Here, we have established a high-throughput screen to comprehensively identify and characterise cis-regulatory elements that control a specific splicing decision. A cancer-relevant splicing event in proto-oncogene RON was picked as a minigene prototype for initialising the screening approach. Then, we transfected a library of thousands of randomly mutagenised minigene variants as a pool into human cells, and subsequently quantified the spliced isoforms by RNA sequencing. Importantly, we used a barcode sequence to tag the minigene variants and thereby linked mutations to their corresponding spliced products. By using a linear regression-based modelling approach, we were able to determine the effects of single mutations on RON AS. In total, more than 700 mutations were found to significantly affect the splicing regulation of the RON alternative exon. In addition, mutation effects quantified from the screening approach correlate with RON alternative splicing in cancer patients. We discovered numerous previously unknown cis-regulatory elements in both introns and exons, and found that the RBP heterogeneous nuclear ribonucleoprotein H (HNRNPH) extensively regulates RON AS at multiple levels in both cell lines and cancer. Furthermore, the large number of RBPs involved in the process, point to a complex splicing regulatory network involved in the control of RON splicing. iCLIP and synergy analysis between mutations and HNRNPH knockdown data pinpointed the most relevant HNRNPH binding sites across RON. Finally, cooperative HNRNPH binding was shown to mediate a splicing switch of RON alternative exon. In summary, our results provide an unprecedented view on the complexity of splicing regulation of an alternative exon. The novel screening approach introduces a tool to study the relationship of RNA sequence variants along with trans-acting regulators to their impact on the splicing outcome, offering insights on alternative splicing regulation and the relevance of mutations in human disease.
The UN 2030 Agenda for Sustainable Development stresses the fundamental role science should play in implementing the 17 Sustainable Development Goals endorsed by the global community. But how can and should researchers respond to this societal demand on science? We argue that answering this question requires systematic engagement with the fundamental normative dimensions of the 2030 Agenda and those of the scientific community—and with the implications these dimensions have for research and practice. We suggest that the production of knowledge relevant to sustainable development entails analytic engagement with norms and values through four tasks. First, to unravel and critically reflect on the ethical values involved in sustainability, values should increasingly become an empirical and theoretical object of sustainability research. Second, to ensure that research on social–ecological systems is related to sustainability values, researchers should reflect on and spell out what sustainability values guide their research, taking into account possible interdependencies, synergies, and trade-offs. Third, to find common ground on what sustainability means for specific situations, scientists should engage in deliberative learning processes with societal actors, with a view to jointly reflecting on existing development visions and creating new, contextualized ones. Fourth, this implies that researchers and scientific disciplines must clarify their own ethical and epistemic values, as this defines accountability and shapes identification of problems, research questions, and results. We believe that ignoring these tasks, whether one is in favor or critical of the 2030 Agenda, will undermine the credibility and relevance of scientific contributions for sustainable development.
Understanding global biodiversity patterns is one of the main objectives of ecology. Spatial variation in species richness can be explained by several environmental factors. The relationships between species richness and environmental factors have been associated with latitudinal, longitudinal and elevational gradients. The number of species is determined by birth, death and migration rates of species in a given area. These rates are affected by abiotic and biotic factors acting at local and regional scales. Climatic seasonal variation may also influence biodiversity, directly through physiological limitations and indirectly through biotic interactions, vegetation structure and food availability. Climate and land use change are the main factors for landscape simplification and biotic homogenization. Thus, the study of community patterns across environmental gradients may help to predict the effect of projected environmental change.
I investigated how abiotic and biotic factors influence different facets of bird diversity across an elevational gradient. My study was conducted along an elevational gradient spanning 2000 m within and around Podocarpus National Park and San Francisco reserve on the southeastern slope of the Andes in Ecuador. The climate is humid tropical montane with a bimodal rain regime. The region is characterized by evergreen premontane forest at low elevations, evergreen lower montane forest at mid elevations and upper montane forest at high elevations. The elevational gradient has natural continuous forests within the protected reserves and fragmented forests surrounding the reserves in a matrix of cattle pastures. To monitor bird diversity, I placed nine 20-m radius point counts within 18 one-hectare plots, in continuous and fragmented forest at 1000, 2000 and 3000 m a.s.l. I recorded and identified all birds for 10 minutes within each point count. Bird communities were sampled eight times per plot, in the most humid season and in the least humid season of 2014 and 2015. To estimate flower and fruit availability, I recorded all plants with open flowers and ripe fruits within each point count. To obtain the relative invertebrate availability, I assessed understory invertebrate fresh biomass using a standardized sweep-netting design along 100-metre borders of each plot. Vertical vegetation heterogeneity was estimated at eight layers above the ground within each point count. Temperature for each plot was obtained using an air temperature regionalization tool and precipitation through remote sensing techniques and meteorological data.
In the first chapter of this thesis, I explored the effects of elevation, climate and vegetation structure on overall bird communities as well as on frugivorous and insectivorous birds. I found that elevation was mostly indirectly associated with bird diversity, jointly mediated via temperature, precipitation and vegetation structure. Additionally, elevation was directly and positively associated with both the overall bird community and with insectivores, but not with frugivores. My findings indicate a reduction of bird diversity due to climatic factors and vegetation structure with increasing elevation. However, the direct, positive effect of elevation suggests that bird diversity was higher than expected towards high elevations, probably due to spatial, biotic and evolutionary settings.
In the second chapter, I analysed the influence of climate and resource availability on temporal variation of bird communities. I found a higher bird diversity in the least humid season than in the most humid season. The seasonality of the bird communities was mainly driven by temperature and precipitation. While temperature had a significant positive effect at high elevations, precipitation had a significant negative effect at low elevations. Resource availability had no significant effect. My findings suggest that the temporal fluctuations in bird communities likely occur due to climate
constraints rather than due to resource limitations.
In the third chapter, I studied the effect of forest fragmentation on taxonomic and functional bird diversity. I found that taxonomic diversity was higher in fragmented compared to continuous forests, while functional diversity was negatively affected by fragmentation, but only at low elevations. The increase of taxonomic diversity in disturbed habitats suggests an increase of habitat generalists, which may compensate the loss of forest specialists. My findings suggest that taxonomic diversity can be uncoupled from functional diversity in diverse communities at low elevations.
My results show the effects of environmental factors on the spatio-temporal patterns of bird communities and the potentially uncoupled responses of taxonomic and functional diversity to forest fragmentation. My findings highlight that bird communities respond differently to abiotic and biotic factors across elevational gradients. Overall, my study helps to better understand the mechanisms that drive species communities in response to complex environmental conditions, which could be an essential contribution for the conservation of bird communities in the tropical Andes.
In 2010, the Conference of the Parties of the Convention on Biological Diversity agreedon the Strategic Plan for Biodiversity 2011–2020 in Aichi Prefecture, Japan. As this planapproaches its end, we discussed whether marine biodiversity and prediction studieswere nearing the Aichi Targets during the 4th World Conference on Marine Biodiversityheld in Montreal, Canada in June 2018. This article summarises the outcome of a five-day group discussion on how global marine biodiversity studies should be focusedfurther to better understand the patterns of biodiversity. We discussed and reviewedseven fundamental biodiversity priorities related to nine Aichi Targets focusing onglobal biodiversity discovery and predictions to improve and enhance biodiversitydata standards (quantity and quality), tools and techniques, spatial and temporal scaleframing, and stewardship and dissemination. We discuss how identifying biodiversityknowledge gaps and promoting efforts have and will reduce such gaps, including via theuse of new databases, tools and technology, and how these resources could be improvedin the future. The group recognised significant progress toward Target 19 in relationto scientific knowledge, but negligible progress with regard to Targets 6 to 13 whichaimed to safeguard and reduce human impacts on biodiversity.
The existence of all living organisms depends on their multidimensional adjustment to the conditions of the environment in which they live. Organisms must constantly deal with not only abiotic stress factors (such as water availability or extreme temperatures), but also with various biotic interactions (the competition between different organisms, both intraspecific and interspecies). When there is a consensus between an organism and the environment it means that this organism is well adjusted and increases its probability of survival.
Symbiotic organisms possess the ability to establish an intimate interaction with another species (symbiont) that provides benefits for survival. Organisms that are involved in obligate symbiosis may adapt to a new environment by switching to another symbiotic partner that is locally better adapted; or by reshuffling symbiont communities present in the holobiont. This ability potentially gives them the opportunity to flexibly react to changing environmental conditions.
In this thesis I studied the genetic diversity and geographic distribution of symbiont lineages in a lichen symbiosis to better understand environmental adaptation in symbiotic systems. Lichens are symbiotic associations of photobionts (one or several green-algal species or cyanobacteria), filamentous mycobionts (lichen-forming fungi) and co-inhabiting symbiotic microorganisms (lichen-associated bacteria, endolichenic fungi, and basidiomycete yeast). The coccoid green algae of the genus Trebouxia are the most common and the most studied lichen photobionts. However, the lack of formal Trebouxia taxonomy impedes our understanding of this photobiont diversity.
Different species of mycobionts may share the same photobionts and a single species of mycobiont may associate with multiple, genetically different photobionts. Interactions among symbionts are not random and are constrained by evolutionary and environmental processes. The ability to associate with specific symbiotic partner is considered as a lichen strategy to facilitate adaptation to the constantly changing environments.
The objectives of this thesis were to 1. Elucidate the intraspecific diversity of fungal and algal symbionts in the lichen Umbilicaria pustulata, given a range-wide (Europe-wide) sampling; 2. Evaluate species delimitation in trebouxioid photobionts based on molecular data, and 3. Quantify the climatic niches of photobiont lineages within U. pustulata, to establish whether the association with particular photobionts may modify the range and ecological niche of this lichen.
The main findings of this thesis are:
1. The genetic diversity within trebouxoid photobiont of U. pustulata is higher than within the mycobiont. The most variable photobiont loci are nrITS rDNA, psbJ-L, and COX2. RbcL is the least variable photobiont locus. The most variable mycobiont loci are MCM7 and TSR1. This study shows a lack of genetic variability in the mycobiont loci EF1, nrITS rDNA, RPB1, and RPB2.
2. U. pustulata shows a low level of selectivity and is associated with numerous (most likely six) putative algal species. All photobiont haplotypes found in U. pustulata are shared between other lichen-forming fungi species, showing different patterns of species-to-species and species-to-community interactions.
3. The geographic distribution of U. pustulata symbionts associations is strongly connected to changes in the climatic niches. The mycobiont-photobiont interactions change along latitudinal temperature gradients (cold-adapted hotspot) and in Mediterranean climate zones (warm-adapted hotspot). U. pustulata broadens its distribution range by switching between photobionts that posses specific environmental preferences.
Overall, this thesis contributes to the understanding of the symbiont diversity, fungal-algal association patterns and local adaptation linked to symbiont-mediated niche expansion in lichens. While identifying intraspecific diversity of both lichen symbionts is a key predisposition to understand symbiont interactions, population dynamics or co-evolution, my comparative study of the sequence-based molecular markers is relevant to reveal cryptic diversity in other lichen-forming fungi and their photobionts.
The determination of species boundaries in lichen symbionts is essential for the study of selectivity and specificity, co-distribution, and co-evolution. Whereas the phylogenetic relationships of Trebouxiophyceae are poorly understood, the application of a novel multifaceted approach based on phylogenetic relationships, coalescence methods and morphological traits presented in this thesis is a promising tool to address species boundaries within this heterogeneous genus.
This thesis provides evidence for symbiont-mediated niche expansion in lichens and highlights the preferential photobiont association from a niche-modeling perspective. My results shed light on symbiont polymorphism and partner switching as potential mechanisms of environmental adaptation in the lichen symbiosis. The spatial genetic pattern found in U. pustulata symbionts supports the concept of ecological fitting and is consistent with patterns found in other lichen studies. Results presented here relate also to findings in different symbiotic systems, like reef-building corals, where different latitudinal patterns and symbiont switching has been reported as an adaptive response to severe bleaching events. Furthermore, this study is timely in light of global warming, because the identification of interaction hotspots among symbionts helps to understand how lichens or other symbiotic organisms adjust to the ongoing climate change. This knowledge will, in turn, facilitate the proper conservation of the most vulnerable lichen populations. My doctoral thesis provides a conceptual framework for analyzing symbiont diversity, interaction patterns, and symbiont-mediated niche expansion that could be applied to other types of lichen species as well as other organisms involved in facultative or obligate symbiosis.
Soil degradation can have an impact on the soil microbiota, but its specific effects on soil fungal communities are poorly understood. In this work, we studied the impact of soil degradation on the richness and diversity of communities of soil fungi, including three different degrees of degradation in Germany and Panama. Soil fungi were isolated monthly using the soil-sprinkling method for 8 months in Germany and 3 months in Panama, and characterized by morphological and molecular data. Soil physico-chemical properties were measured and correlated with the observed values of fungal diversity. We isolated a total of 71 fungal species, 47 from Germany, and 32 from Panama. Soil properties were not associated with fungal richness, diversity, or composition in soils, with the exception of soil compaction in Germany. The geographic location was a strong determinant of the soil fungal species composition although in both countries there was dominance by members of the orders Eurotiales and Hypocreales. In conclusion, the results of this work do not show any evident influence of soil degradation on communities of soil fungi in Germany or Panama.
Humans and other primates are highly visual animals. Our daily visual activities such as recognizing familiar faces, interacting with objects, or reading, are supported by an extensive system of interacting brain areas. The interactions between the many individual nerve cells both within and between brain areas need to be coordinated. One possible solution to achieve flexible coordination between cells in the network is rhythmic activity, or oscillations. The focus of the thesis will be activity in the largest visual area, V1, in non-human primates. In V1, high-frequency activity, so-called gamma-band activity (“gamma”, ca. 30-90 Hz) can be frequently observed and has been suggested to play a role in coordinating activity in the visual system. In Chapter 1, the coordination problem, the primate visual system and gamma-band oscillations are introduced in detail. The following chapters explore the dependence of gamma on contextual influences. Does V1 use contextual information to optimize co-ordination? In the first part, the short-term consequences of repeated encounters with visual stimuli on V1 responses are explored (Chapters 2 and 3). Inspired by results from colored, naturalistic images in the first part, the second part tests the dependence of gamma on spatial and chromatic stimulus aspects (Chapters 4 and 5).
Stimulus repetition is a simple yet powerful way to tap into our brains’ ability to learn and adapt to our environment. Repeated presentation of a visual stimulus tends to decrease responses to this stimulus. Is this accompanied by changes in the coordination of brain activity? In Chapter 2, the stimulus-specificity of repetition effects on gamma was tested using naturalistic stimuli. V1 is most typically studied using black-and-white, artificial stimuli that are very familiar to the animals. Here, colored natural images were repeatedly presented that were initially novel to the animals, to provide a wider and more naturalistic range of stimulation. Both multi-unit spiking activity (MUA) and gamma showed stimulus-specific repetition effects. MUA responses de-creased most strongly for initial repetitions and less for later repetitions. In contrast, gamma could increase or decrease for initial repetitions, but tended to increase for later repetitions. This points to the operation of multiple plasticity mechanisms. One process may rapidly decrease MUA and gamma and be related to initial novelty or adaptation. The other increases gamma, is active for more repetitions, and could constitute a form of refinement of coordination over time. Moreover, based on the spacing of stimulus repetitions, stimulus memory in V1 persisted for tens of seconds.
In the following Chapter 3, the stimulus location specificity and persistence of the repetition effects for longer timescales were tested. To this end, the observation that the increase in gamma with repetition was strongest for the first tens of repetitions was used to test for location specificity and memory. Using simple artificial stimuli that were repeated many times at two alternating locations, both location specificity and memory on the order of minutes was observed. Due to the structure of the primate visual system, location specificity suggests that the repetition effects involve early to mid-level visual areas such as V1. Memory for previous stimulus presentations on the order of minutes has not been previously reported for V1 gamma. Taken together, these experiments demonstrate short-term plasticity of gamma that is stimulus- and location specific and persists on the timescale of minutes.
In Chapter 2, the average gamma-band response to the large, naturalistic stimuli was highly stimulus dependent. Relative increases in gamma-band activity scaled between tens and thousands of percent change depending on the stimulus. Particularly the color of the stimuli appeared to play a strong role, although the stimulus set was too limited and uncontrolled to draw strong conclusions. In Chapters 4 and 5, underlying mechanisms for the stimulus specificity of gamma were explored using more well-controlled, artificial stimuli that varied in color and spatial structure.
Much of vision relies on the analysis of spatial structure. Each nerve cell in V1 only responds to visual stimuli in a particular, small part of the visual field, its so-called “receptive field” (RF). Compared to isolated RF stimulation, nearby cells that are stimulated by a similar structure from different parts of visual space can show response decreases, commonly known as “surround suppression”, and may show coordinated activity in the gamma band. In Chapter 3, responses to large, uniformly colored disks are contrasted with responses to black or white (achromatic) disks. A first experiment showed that gamma-band responses were stronger for colored than achromatic stimuli, whereas MUA responses could decrease below baseline for colored stimuli. To test whether these phenomena were related to surround suppression, stimulus size was manipulated in a second experiment. When stimuli were of sufficient size to induce surround suppression, clear gamma-band responses emerged. Surround suppression and gamma were stronger for chromatic stimuli. However, the change of stimulus size could have changed not only surround suppression but also stimulus saliency. Therefore, in a third experiment, the overall size of the stimulus was kept constant, and the spatial structure of the stimulus was manipulated. In comparison to uniform, predictable stimulus structure, mismatches between the center of the stimulus and the surrounding visual space led to strong increases in MUA responses and strong de-creases in gamma-band activity. These effects were restricted to the recording sites with RFs at the mismatch location. These experiments underpin the strong role of both spatial structure and color for gamma in V1.
In Chapter 4, responses to different color hues are studied in more detail. Gamma response strength depended on hue, being strongest for red compared to blue and green stimuli when measured with a gray background. To better understand the underlying mechanisms of the differential responses, the spatio-temporal context in the form of the background color was manipulated. Background color had a strong influence on gamma strength. Using differently colored backgrounds, different parts of the color signaling pathways could be adapted. Response differences to different color hues could be explained well with a model that incorporates differences in adaptation between pathways involving long- compared to medium-wavelength cone signals.
Taken together, these experiments indicate a strong role of both spatial context (stimulus size and structure) and temporal context and drive (repetition, adaptation) for the generation of gamma-band activity in V1. Functional implications of these dependencies are considered in the final Chapter 6, and a role for gamma-band syn-chronization in a coding regime for visual inputs that generate strong drive and high predictability is suggested.
Autophagy, meaning “self-eating”, is an important cellular waste disposal mechanism. Thereby, damaged proteins, lipids and organelles are enclosed by autophagosomes and subsequently transported to the lysosomes for degradation into basic, cellular building blocks. Under basal conditions autophagy prevents the accumulation of defective and harmful material and generally promotes cell survival. However, several studies reported that hyperactivated autophagy, e.g. during developmental processes in lower eukaryotes, or during chemotherapeutic treatment of cancer cells, can also trigger cell death.
In recent years, autophagic cell death (ACD) has been considered as an alternative cell death pathway for tumor therapy, especially for solid tumors with high apoptosis resistance such as glioblastoma. Glioblastoma (GBM) is a very aggressive, malignant primary brain tumor with a median survival of ~ 15 months despite surgery and chemoradiotherapy. Accordingly, there is a great interest in improving GBM therapy through alternative cell death mechanisms. Interestingly, it has been shown that various substances, e.g. AT 101, cannabinoids and the combination of imipramine and ticlopidine (IM+TIC), induce ACD in GBM cells.
The aim of this project was to identify the underlying mechanisms of stress- and drug-induced ACD and its therapeutic potential for glioblastoma treatment. For detailed investigation of ACD, a CRISPR/Cas9-based approach was used to generate ATG5 and ATG7 knockouts as genetic models of autophagy deficiency. In a previous study of our lab it was demonstrated that administration of AT 101 triggers ACD in glioblastoma cells, which was associated with early mitochondrial fragmentation but no signs of apoptosis. Since mitochondrial fragmentation often precedes mitophagy, the first part of this thesis explored the potential role of mitophagy in AT 101-induced cell death.
ATG5-depleted cells confirmed that AT 101 induces ACD. In addition, treatment with AT 101 resulted in a pronounced mitochondrial depolarization, which was at least partly caused by the opening of the mitochondrial permeability pore. Global proteome analysis of AT 101-treated GBM cells revealed a robust decrease in mitochondrial protein clusters as well as a strong increase in the enzyme heme oxygenase-1 (HMOX1). Subsequent experiments for detailed investigation of mitophagy following AT 101 treatment (western blot, flow cytometric MTG and mt-mKeima, qRT-PCR of mitochondrial vs nuclear DNA) consistently indicated strong mitophagy induction by AT 101, which could be reduced by genetic or pharmacological inhibition of autophagy. Furthermore, siRNA-mediated knockdown experiments revealed that the selective mitophagy receptors BNIP3 and BNIP3L and the HMOX1 enzyme play an essential role in AT 101-induced mitophagy and subsequent cell death. Taken together, these data demonstrate that AT 101-induced mitochondrial dysfunction and HMOX1 induction synergize to promote excessive mitophagy with a lethal outcome in glioma cells.
The second part of this thesis focused on the identification of new substances that cause ACD and the investigation of the underlying cell death pathways. Using a cell death screen of the ENZO Screen-Well™ autophagy library in MZ-54 wild-type vs ATG5 and ATG7-depleted cells, loperamide, pimozide, and STF-62247 were identified as ACD-inducing agents. The increase of the autophagic flux and the induction of ACD by these substances was confirmed by using different ATG5 and ATG7 knockout cell lines and the already established positive control IM+TIC.
In contrast to AT 101, IM+TIC, STF-62247, loperamide and pimozide produced neither mitochondrial dysfunction nor mitophagy. Interestingly, it has been described that imipramine, loperamide and pimozide inhibit the lysosomal enzyme acid sphingomyelinase, which is associated with impaired lipid transport. Global proteome analysis and cholesterol staining confirmed that all four substances, but especially loperamide and pimozide, inhibit cellular lipid transport, leading to massive lipid accumulation in the lysosomes. In the further course of the experiments, the connection between defective lipid transport and autophagy was investigated in more detail. On the one hand, the defective lipid transport contributed to the induction of autophagy, on the other hand the massive accumulation of lipids led to lysosomal membrane damage, inhibition of lysosomal degradation at later time points and finally to a lysosomal cell death. Remarkably, it has been shown that hyperactivated autophagy by IM+TIC, loperamide and pimozide massively promotes lysosomal membrane damage. This result highlights the difficulties of a clear distinction between autophagic and lysosomal cell death.
In summary, two new signaling pathways that induce autophagic cell death in GBM cells and may be relevant for glioblastoma therapy were investigated in this study.
1. Plant-fungal interactions are important for plant community assembly, but quantifying these relationships remains challenging. High throughput sequencing of fungal communities allows us to identify plant-fungal associations at a high level of resolution, but often fails to provide information on taxonomic and functional assignment of fungi. 2. We transplanted seeds of Pinus cembra across an elevational gradient (1850–2250 m a.s.l.) and identified environmental factors and known fungal associates important for seedling establishment and survival. We then applied null model tests to identify taxonomically unassigned fungi associated with pine recruitment. 3. Early seedling establishment was determined by abiotic environmental factors, while seedling survival was predominantly affected by biotic environmental factors (i.e., the abundance of a fungal pathogen known from literature and the distance to adult trees). Null model tests identified known mycorrhizal partners and a large number of unknown operational taxonomic units (OTUs) associated with seedling survival, including saprotrophic and pathogenic species. These results highlight that unknown fungal OTUs, which are usually discarded from analyses, could play a crucial role for plant survival. 4. Synthesis. We conclude that high throughput metabarcoding paired with null model tests, is a valuable approach for identifying hidden plant-fungal associations within large and complex DNA metabarcoding datasets. Such an approach can be an important tool in illuminating the black box of plant-microbe interactions, and thus understanding ecosystem dynamics.
Frontal areas of the mammalian cortex are thought to be important for cognitive control and complex behaviour. These areas have been studied mostly in humans, non-human primates and rodents. In this article, we present a quantitative characterization of response properties of a frontal auditory area responsive to sound in the brain of Carollia perspicillata, the frontal auditory field (FAF). Bats are highly vocal animals, and they constitute an important experimental model for studying the auditory system. We combined electrophysiology experiments and computational simulations to compare the response properties of auditory neurons found in the bat FAF and auditory cortex (AC) to simple sounds (pure tones). Anatomical studies have shown that the latter provides feedforward inputs to the former. Our results show that bat FAF neurons are responsive to sounds, and however, when compared to AC neurons, they presented sparser, less precise spiking and longer-lasting responses. Based on the results of an integrate-and-fire neuronal model, we suggest that slow, subthreshold, synaptic dynamics can account for the activity pattern of neurons in the FAF. These properties reflect the general function of the frontal cortex and likely result from its connections with multiple brain regions, including cortico-cortical projections from the AC to the FAF.
Frontal areas of the mammalian cortex are thought to be important for cognitive control and complex behaviour. These areas have been studied mostly in humans, non-human primates and rodents. In this article, we present a quantitative characterization of response properties of a frontal auditory area responsive to sound in the bat brain, the frontal auditory field (FAF). Bats are highly vocal animals and they constitute an important experimental model for studying the auditory system. At present, little is known about neuronal sound processing in the bat FAF. We combined electrophysiology experiments and computational simulations to compare the response properties of auditory neurons found in the bat FAF and auditory cortex (AC) to simple sounds (pure tones). Anatomical studies have shown that the latter provide feedforward inputs to the former. Our results show that bat FAF neurons are responsive to sounds, however, when compared to AC neurons, they presented sparser, less precise spiking and longer-lasting responses. Based on the results of an integrate-and-fire neuronal model, we speculate that slow, low-threshold, synaptic dynamics could contribute to the changes in activity pattern that occur as information travels through cortico-cortical projections from the AC to the FAF.