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Im Rahmen dieser Dissertation wurden unterschiedliche Aspekte der Verbreitung der Vertreter des Pseudoterranova decipiens Komplexes betrachtet und Fragestellungen zur Ökologie und Humanpathogenität der Parasiten bearbeitet. Sie basiert auf drei (ISI-) Fachartikeln, in denen die Nutzung von Fischparasitengemeinschaften als ökologische Indikatoren für entlegene Ökosysteme des Südpolarmeeres (I), die Modellierung geeigneter Verbreitungsgebiete für Arten mit geringen Vorkommensdaten am Beispiel des P. decipiens Komplexes (II) und das Vorkommen potentiell humanpathogener P. bulbosa in unterschiedlichen Mikrohabitaten in Atlantischem Kabeljau (III) thematisiert wurde.
Die Parasitengemeinschaften der in Studie I untersuchten, nahverwandten Antarktisdorsche (Nototheniinae) Nototheniops larseni (n=40), N. nudifrons (n=40) und Lepidonotothen squamifrons (n=49) unterschieden sich hauptsächlich hinsichtlich seltener Parasitenarten. Pseudoterranova decipiens E zählte zu den häufigsten Parasiten der drei betrachteten Wirtsarten. Die Analyse der Wirtsspektren der auf Artebene bestimmten Parasiten zeigte eine geringe Spezifität antarktischer Fischparasiten im Larven- (z.B. Pseudoterranova decipiens E) und Adultstadium (z.B. Elytrophalloides oatesi). Für eine Nutzung als Bioindikatoren ergibt sich die Empfehlung, nicht auf einzelne Parasitenarten, sondern die Zusammensetzung von Parasitenfaunen zurückzugreifen und Parameter wie Abundanz oder Intensität zu berücksichtigen. Vergleiche mit Literaturdaten legten nahe, dass ein Studiendesign, das den periodischen Vergleich der Parasitierungsmuster von Nototheniinae ermöglichen soll, Standorteffekte berücksichtigen sollte. Da es sich bei der Probennahme demersaler Fische um ein aufwändiges und einschneidendes Verfahren handelt, sollten alternative Samplingmethoden vorangetrieben und eine Datenbasis dafür geschaffen werden.
Um die Belastung von Speisefischen mit potentiell humanpathogenen Parasiten in bestimmten Fanggebieten abzuschätzen, kann anhand von Vorkommens- und Umweltdaten mittels statistischer Modelle die Habitateignung für den Parasiten bestimmt werden. Eine Voraussetzung für eine verlässliche Modellierung bilden die Wahl eines geeigneten Algorithmus und die Qualität der Eingangsdaten. Für die Modellierung geeigneter Verbreitungsgebiete für die sechs Arten des P. decipiens Komplexes wurde im Rahmen von Studie II erstmalig ein biotischer Deskriptor herangezogen. Dem Ansatz lag die Annahme zugrunde, dass das Vorkommen geeigneter Endwirte der entscheidende, limitierende Faktor für die Verbreitung eines Parasiten ist, da nur so der Lebenszyklus geschlossen werden kann. Als Hypothesentest dienten Vergleiche der ökologischen Nischen von Parasiten und ihren spezifischen Endwirten im Nischenraum. Anhand der Endwirtdistanz wurde eine Verbesserung der Modellierungsergebnisse mit MaxEnt, gegenüber der ausschließlich auf abiotischen Prädiktoren basierenden Modellierung, für alle Pseudoterranova Arten, insbesondere jene mit einer geringen Anzahl Fundpunkte, erzielt. Grundsätzlich ist der Ansatz auf marine Parasitenarten, deren spezifische Endwirte verlässliche Vorkommensdaten aufweisen, übertragbar. Die Methode stellt jedoch keinen Ersatz für die Erhebung von Vorkommensdaten dar, weshalb die genetische Bestimmung schwer zu identifizierender Taxa sowie die Angabe von Metadaten in jeder parasitologischen Studie obligatorisch sein sollten.
Die Verteilung potentiell humanpathogener Parasitenstadien in für den menschlichen Verzehr vorgesehenen Fischen kann ein entscheidender Faktor für die Übertragung sein. Im Rahmen von Studie III wurde mit dem Referenztranskriptom von P. bulbosa das erste Transkriptom für eine Art den P. decipiens Komplexes erstellt. Anhand einer differentiellen Genexpressionsanalyse wurde untersucht, was die Verteilung der Parasiten auf unterschiedliche Mikrohabitate beeinflusst haben könnte. Dabei wurden siebzig differentiell exprimierte Gene identifiziert, die in aus Leber (32 Gene) und Viscera (38 Gene) von Atlantischem Kabeljau (Gadus morhua) isolierten Proben von P. bulbosa hochreguliert waren. Eine Erklärung für diesen subtilen Unterschied könnte ein Dauerstadium der P. bulbosa Larven zum Zeitpunkt der Probennahmen sein. Ob sich bestimmte Mikrohabitate innerhalb des Wirtes begünstigend auf den Parasiten auswirken, muss mit Hilfe experimenteller Studien gezeigt werden. Erste in Studie III erhobene Daten zum allergenen Potential von P. bulbosa sollten in serologischen Studien getestet werden. Als Grundlage für die Bewertung des pathogenen Potentials von P. bulbosa, sowie der weiteren Arten des P. decipiens Komplexes, sollten in experimentellen Studien NGS-Daten erhoben werden.
Im Rahmen dieser Dissertation wurde in drei methodisch unterschiedlichen Studien ein Bedarf besserer Referenzdaten aufgezeigt. Bestreben diese Datenlücken zu schließen, um das Potential der Methoden besser ausschöpfen zu können, müssen zukünftig noch weiter verstärkt werden.
Background: Studies of parasite communities and patterns in the Antarctic are an important knowledge base with the potential to track shifts in ecological relations and study the effects of climate change on host–parasite systems. Endemic Nototheniinae is the dominant fish group found in Antarctic marine habitats. Through their intermediate position within the food web, Nototheniinae link lower to higher trophic levels and thereby also form an important component of parasite life cycles. The study was set out to gain insight into the parasite fauna of Nototheniops larseni, N. nudifrons and Lepidonotothen squamifrons (Nototheniinae) from Elephant Island (Antarctica).
Methods: Sampling was conducted at three locations around Elephant Island during the ANT-XXVIII/4 expedition of the research vessel Polarstern. The parasite fauna of three Nototheniine species was analysed, and findings were compared to previous parasitological and ecological research collated from a literature review.
Results: All host species shared the parasites Neolebouria antarctica (Digenea), Corynosoma bullosum (Acanthocephala) and Pseudoterranova decipiens E (Nematoda). Other parasite taxa were exclusive to one host species in this study. Nototheniops nudifrons was infected by Ascarophis nototheniae (Nematoda), occasional infections of N. larseni with Echinorhynchus petrotschenkoi (Acanthocephala) and L. squamifrons with Elytrophalloides oatesi (Digenea) and larval tetraphyllidean Cestoda were detected.
Conclusion: All examined fish species’ parasites were predominantly euryxenous regarding their fish hosts. The infection of Lepidonotothen squamifrons with Lepidapedon garrardi (Digenea) and Nototheniops larseni with Echinorhynchus petrotschenkoi represent new host records. Despite the challenges and limited opportunities for fishing in remote areas, future studies should continue sampling on a more regular basis and include a larger number of fish species and sampling sites within different habitats.
Biodiversity is a cornerstone of human health and well-being. However, while evidence of the contributions of nature to human health is rapidly building, research into how biodiversity relates to human health remains limited in important respects. In particular, a better mechanistic understanding of the range of pathways through which biodiversity can influence human health is needed. These pathways relate to both psychological and social processes as well as biophysical processes. Building on evidence from across the natural, social and health sciences, we present a conceptual framework organizing the pathways linking biodiversity to human health. Four domains of pathways—both beneficial as well as harmful—link biodiversity with human health: (i) reducing harm (e.g. provision of medicines, decreasing exposure to air and noise pollution); (ii) restoring capacities (e.g. attention restoration, stress reduction); (iii) building capacities (e.g. promoting physical activity, transcendent experiences); and (iv) causing harm (e.g. dangerous wildlife, zoonotic diseases, allergens). We discuss how to test components of the biodiversity-health framework with available analytical approaches and existing datasets. In a world with accelerating declines in biodiversity, profound land-use change, and an increase in non-communicable and zoonotic diseases globally, greater understanding of these pathways can reinforce biodiversity conservation as a strategy for the promotion of health for both people and nature. We conclude by identifying research avenues and recommendations for policy and practice to foster biodiversity-focused public health actions.
Cancer-associated fibroblasts (CAFs) in the tumor microenvironment contribute to all stages of tumorigenesis and are usually considered to be tumor-promoting cells. CAFs show a remarkable degree of heterogeneity, which is attributed to developmental origin or to local environmental niches, resulting in distinct CAF subsets within individual tumors. While CAF heterogeneity is frequently investigated in late-stage tumors, data on longitudinal CAF development in tumors are lacking. To this end, we used the transgenic polyoma middle T oncogene-induced mouse mammary carcinoma model and performed whole transcriptome analysis in FACS-sorted fibroblasts from early- and late-stage tumors. We observed a shift in fibroblast populations over time towards a subset previously shown to negatively correlate with patient survival, which was confirmed by multispectral immunofluorescence analysis. Moreover, we identified a transcriptomic signature distinguishing CAFs from early- and late-stage tumors. Importantly, the signature of early-stage CAFs correlated well with tumor stage and survival in human mammary carcinoma patients. A random forest analysis suggested predictive value of the complete set of differentially expressed genes between early- and late-stage CAFs on bulk tumor patient samples, supporting the clinical relevance of our findings. In conclusion, our data show transcriptome alterations in CAFs during tumorigenesis in the mammary gland, which suggest that CAFs are educated by the tumor over time to promote tumor development. Moreover, we show that murine CAF gene signatures can harbor predictive value for human cancer.
Blow flies are the first insect group to colonize on a dead body and thus correct species identification is a crucial step in forensic investigations for estimating the minimum postmortem interval, as developmental times are species-specific. Due to the difficulty of traditional morphology-based identification such as the morphological similarity of closely related species and uncovered taxonomic keys for all developmental stages, DNA-based identification has been increasing in interest, especially in high biodiversity areas such as Thailand. In this study, the effectiveness of long mitochondrial cytochrome c oxidase subunit I and II (COI and COII) sequences (1247 and 635 bp, respectively) in identifying 16 species of forensically relevant blow flies in Thailand (Chrysomya bezziana, Chrysomya chani, Chrysomya megacephala, Chrysomya nigripes, Chrysomya pinguis, Chrysomya rufifacies, Chrysomya thanomthini, Chrysomya villeneuvi, Lucilia cuprina, Lucilia papuensis, Lucilia porphyrina, Lucilia sinensis, Hemipyrellia ligurriens, Hemipyrellia pulchra, Hypopygiopsis infumata, and Hypopygiopsis tumrasvini) was assessed using distance-based (Kimura two-parameter distances based on Best Match, Best Close Match, and All Species Barcodes criteria) and tree-based (grouping taxa by sequence similarity in the neighbor-joining tree) methods. Analyses of the obtained sequence data demonstrated that COI and COII genes were effective markers for accurate species identification of the Thai blow flies. This study has not only demonstrated the genetic diversity of Thai blow flies, but also provided a reliable DNA reference database for further use in forensic entomology within the country and other regions where these species exist.
Background: Worldwide, the number of recorded human hantavirus infections as well as the number of affected countries is on the rise. In Europe, most human hantavirus infections are caused by the Puumala virus (PUUV), with bank voles (Myodes glareolus) as reservoir hosts. Generally, infection outbreaks have been related to environmental conditions, particularly climatic conditions, food supply for the reservoir species and land use. However, although attempts have been made, the insufficient availability of environmental data is often hampering accurate temporal and spatially explicit models of human hantavirus infections.
Methods: In the present study, dynamics of human PUUV infections between 2001 and 2015 were explored using ArcGIS in order to identify spatio-temporal patterns.
Results: Percentage cover of forest area was identified as an important factor for the spatial pattern, whereas beech mast was found explaining temporal patterns of human PUUV infections in Germany. High numbers of infections were recorded in 2007, 2010 and 2012 and areas with highest records were located in Baden-Wuerttemberg (southwest Germany) and North Rhine-Westphalia (western Germany).
Conclusion: More reliable data on reservoir host distribution, pathogen verification as well as an increased awareness of physicians are some of the factors that should improve future human infection risk assessments in Germany.
Background: The Asian tiger mosquito Aedes albopictus is an extremely invasive, globally distributed and medically important vector of various human and veterinary pathogens. In Germany, where this species was recently introduced, its establishment may become modulated by interspecific competition from autochthonous mosquito species, especially Culex pipiens (s.l.). While competitive superiority of Ae. albopictus to Cx. pipiens (s.l.) has been described elsewhere, it has not been assessed in the epidemiological conditions of Germany. The present study aimed to determine if such superiority exists under the physicochemical and microclimatic conditions typical for container habitats in Germany.
Methods: In a replacement series experiment, the larval and pupal responses of Ae. albopictus and Cx. pipiens (s.l.) (mortality, development time, growth) to interspecific interaction (five larval ratios) at (sub-)optimal temperatures (15, 20 and 25 °C) and differing food supply (3 and 6 mg animal-based food larva-1) were investigated using a randomized split-plot design. In addition to physicochemical measurements of the test media, natural physicochemical conditions were determined for comparative analyses in mosquito breeding sites across the Rhine-Main metropolitan region of Germany.
Results: Under the physicochemical and microclimatic conditions similar to the breeding sites of the Rhine-Main region, competitive superiority of Cx. pipiens (s.l.) to Ae. albopictus in terms of larval survival was more frequently observed than balanced coexistence. Food regime and multifactorial interactions, but not temperature alone, were controlling factors for interspecific competition. Larval food regime and the larval ratio of Ae. albopictus influenced the physicochemistry and algal growth at 15 °C, with increased Ae. albopictus mortality linked to a decreasing number of Scenedesmus, Oocystis and Anabaena algae.
Conclusions: Under the present environmental conditions, the spread of Ae. albopictus from isolated foci in Germany may generally be slowed by biotic interactions with the ubiquitous Cx. pipiens (s.l.) (and potentially other container-breeding mosquito species) and by limnic microalgae in microhabitats with high resource levels. Detailed knowledge of the context dependency in temperate mosquito ecology, and interrelations of physicochemistry and phycology may help to achieve a better understanding of the upcoming Ae. albopictus colonization processes in central and northern Europe.
The bluebottle blow fly Calliphora vicina is a common species distributed throughout Europe that can play an important role as forensic evidence in crime investigations. Developmental rates of C. vicina from distinct populations from Germany and England were compared under different temperature regimes to explore the use of growth data from different geographical regions for local case work. Wing morphometrics and molecular analysis between these populations were also studied as indicators for biological differences. One colony each of German and English C. vicina were cultured at the Institute of Legal Medicine in Frankfurt, Germany. Three different temperature regimes were applied, two constant (16°C & 25°C) and one variable (17–26°C, room temperature = RT). At seven time points (600, 850, 1200, 1450, 1800, 2050, and 2400 accumulated degree hours), larval lengths were measured; additionally, the durations of the post feeding stage and intrapuparial metamorphosis were recorded. For the morphometric and molecular study, 184 females and 133 males from each C. vicina population (Germany n = 3, England n = 4) were sampled. Right wings were measured based on 19 landmarks and analyzed using canonical variates analysis and discriminant function analysis. DNA was isolated from three legs per specimen (n = 61) using 5% chelex. A 784 bp long fragment of the mitochondrial cytochrome b gene was sequenced; sequences were aligned and phylogenetically analyzed. Similar larval growth rates of C. vicina were found from different geographic populations at different temperatures during the major part of development. Nevertheless, because minor differences were found a wider range of temperatures and sampling more time points should be analyzed to obtain more information relevant for forensic case work. Wing shape variation showed a difference between the German and English populations (P<0.0001). However, separation between the seven German and English populations at the smaller geographic scale remained ambiguous. Molecular phylogenetic analysis by maximum likelihood method could not unambiguously separate the different geographic populations at a national (Germany vs England) or local level.
Determining the age of juvenile blow flies is one of the key tasks of forensic entomology when providing evidence for the minimum post mortem interval. While the age determination of blow fly larvae is well established using morphological parameters, the current study focuses on molecular methods for estimating the age of blow flies during the metamorphosis in the pupal stage, which lasts about half the total juvenile development. It has already been demonstrated in several studies that the intraspecific variance in expression of so far used genes in blow flies is often too high to assign a certain expression level to a distinct age, leading to an inaccurate prediction. To overcome this problem, we previously identified new markers, which show a very sharp age dependent expression course during pupal development of the forensically-important blow fly Calliphora vicina Robineau–Desvoidy 1830 (Diptera: Calliphoridae) by analyzing massive parallel sequencing (MPS) generated transcriptome data. We initially designed and validated two quantitative polymerase chain reaction (qPCR) assays for each of 15 defined pupal ages representing a daily progress during the total pupal development if grown at 17 °C. We also investigated whether the performance of these assays is affected by the ambient temperature, when rearing pupae of C. vicina at three different constant temperatures—namely 17 °C, 20 °C and 25 °C. A temperature dependency of the performance could not be observed, except for one marker. Hence, for each of the defined development landmarks, we can present gene expression profiles of one to two markers defining the mentioned progress in development.
Background: Correct species identification of blow flies is a crucial step for understanding their biology, which can be used not only for designing fly control programs, but also to determine the minimum time since death. Identification techniques are usually based on morphological and molecular characters. However, the use of classical morphology requires experienced entomologists for correct identification; while molecular techniques rely on a sound laboratory expertise and remain ambiguous for certain taxa. Landmark-based geometric morphometric analysis of insect wings has been extensively applied in species identification. However, few wing morphometric analyses of blow fly species have been published.
Methods: We applied a landmark-based geometric morphometric analysis of wings for species identification of 12 medically and forensically important blow fly species of Thailand. Nineteen landmarks of each right wing of 372 specimens were digitised. Variation in wing size and wing shape was analysed and evaluated for allometric effects. The latter confirmed the influence of size on the shape differences between species and sexes. Wing shape variation among genera and species were analysed using canonical variates analysis followed by a cross-validation test.
Results: Wing size was not suitable for species discrimination, whereas wing shape can be a useful tool to separate taxa on both, genus and species level depending on the analysed taxa. It appeared to be highly reliable, especially for classifying Chrysomya species, but less robust for a species discrimination in the genera Lucilia and Hemipyrellia. Allometry did not affect species separation but had an impact on sexual shape dimorphism.
Conclusions: A landmark-based geometric morphometric analysis of wings is a useful additional method for species discrimination. It is a simple, reliable and inexpensive method, but it can be time-consuming locating the landmarks for a large scale study and requires non-damaged wings for analysis.