TY - JOUR A1 - Balkenhol, Johannes A1 - Kaltdorf, Kristin V. A1 - Mammadova-Bach, Elmina A1 - Braun, Attila A1 - Nieswandt, Bernhard A1 - Dittrich, Marcus A1 - Dandekar, Thomas T1 - Comparison of the central human and mouse platelet signaling cascade by systems biological analysis JF - BMC Genomics N2 - Background Understanding the molecular mechanisms of platelet activation and aggregation is of high interest for basic and clinical hemostasis and thrombosis research. The central platelet protein interaction network is involved in major responses to exogenous factors. This is defined by systemsbiological pathway analysis as the central regulating signaling cascade of platelets (CC). Results The CC is systematically compared here between mouse and human and major differences were found. Genetic differences were analysed comparing orthologous human and mouse genes. We next analyzed different expression levels of mRNAs. Considering 4 mouse and 7 human high-quality proteome data sets, we identified then those major mRNA expression differences (81%) which were supported by proteome data. CC is conserved regarding genetic completeness, but we observed major differences in mRNA and protein levels between both species. Looking at central interactors, human PLCB2, MMP9, BDNF, ITPR3 and SLC25A6 (always Entrez notation) show absence in all murine datasets. CC interactors GNG12, PRKCE and ADCY9 occur only in mice. Looking at the common proteins, TLN1, CALM3, PRKCB, APP, SOD2 and TIMP1 are higher abundant in human, whereas RASGRP2, ITGB2, MYL9, EIF4EBP1, ADAM17, ARRB2, CD9 and ZYX are higher abundant in mouse. Pivotal kinase SRC shows different regulation on mRNA and protein level as well as ADP receptor P2RY12. Conclusions Our results highlight species-specific differences in platelet signaling and points of specific fine-tuning in human platelets as well as murine-specific signaling differences. KW - interspecies comparison KW - transcriptome KW - proteome KW - platelet KW - network KW - signaling KW - mouse KW - human KW - interactome KW - cascade Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-230377 VL - 21 ER - TY - THES A1 - Bemm, Felix Mathias T1 - Genetic foundation of unrivaled survival strategies - Of water bears and carnivorous plants - T1 - Genetische Grundlagen einzigartiger Überlebensstrategien - Über Bärtierchen und fleischfressende Pflanzen - N2 - All living organisms leverage mechanisms and response systems to optimize reproduction, defense, survival, and competitiveness within their natural habitat. Evolutionary theories such as the universal adaptive strategy theory (UAST) developed by John Philip Grime (1979) attempt to describe how these systems are limited by the trade-off between growth, maintenance and regeneration; known as the universal three-way trade-off. Grime introduced three adaptive strategies that enable organisms to coop with either high or low intensities of stress (e.g., nutrient deficiency) and environmental disturbance (e.g., seasons). The competitor is able to outcompete other organisms by efficiently tapping available resources in environments of low intensity stress and disturbance (e.g., rapid growers). A ruderal specism is able to rapidly complete the life cycle especially during high intensity disturbance and low intensity stress (e.g., annual colonizers). The stress tolerator is able to respond to high intensity stress with physiological variability but is limited to low intensity disturbance environments. Carnivorous plants like D. muscipula and tardigrades like M. tardigradum are two extreme examples for such stress tolerators. D. muscipula traps insects in its native habitat (green swamps in North and South Carolina) with specialized leaves and thereby is able to tolerate nutrient deficient soils. M. tardigradum on the other side, is able to escape desiccation of its terrestrial habitat like mosses and lichens which are usually covered by a water film but regularly fall completely dry. The stress tolerance of the two species is the central study object of this thesis. In both cases, high througput sequencing data and methods were used to test for transcriptomic (D. muscipula) or genomic adaptations (M. tardigradum) which underly the stress tolerance. A new hardware resource including computing cluster and high availability storage system was implemented in the first months of the thesis work to effectively analyze the vast amounts of data generated for both projects. Side-by-side, the data management resource TBro [14] was established together with students to intuitively approach complex biological questions and enhance collaboration between researchers of several different disciplines. Thereafter, the unique trapping abilities of D. muscipula were studied using a whole transcriptome approach. Prey-dependent changes of the transcriptional landscape as well as individual tissue-specific aspects of the whole plant were studied. The analysis revealed that non-stimulated traps of D. muscipula exhibit the expected hallmarks of any typical leaf but operates evolutionary conserved stress-related pathways including defense-associated responses when digesting prey. An integrative approach, combining proteome and transcriptome data further enabled the detailed description of the digestive cocktail and the potential nutrient uptake machinery of the plant. The published work [25] as well as a accompanying video material (https://www.eurekalert.org/pub_releases/ 2016-05/cshl-fgr042816.php; Video credit: Sönke Scherzer) gained global press coverage and successfully underlined the advantages of D. muscipula as experimental system to understand the carnivorous syndrome. The analysis of the peculiar stress tolerance of M. tardigradum during cryptobiosis was carried out using a genomic approach. First, the genome size of M. tardigradum was estimated, the genome sequenced, assembled and annotated. The first draft of M. tardigradum and the workflow used to established its genome draft helped scrutinizing the first ever released tardigrade genome (Hypsibius dujardini) and demonstrated how (bacterial) contamination can influence whole genome analysis efforts [27]. Finally, the M. tardigradum genome was compared to two other tardigrades and all species present in the current release of the Ensembl Metazoa database. The analysis revealed that tardigrade genomes are not that different from those of other Ecdysozoa. The availability of the three genomes allowed the delineation of their phylogenetic position within the Ecdysozoa and placed them as sister taxa to the nematodes. Thereby, the comparative analysis helped to identify evolutionary trends within this metazoan lineage. Surprisingly, the analysis did not reveal general mechanisms (shared by all available tardigrade genomes) behind the arguably most peculiar feature of tardigrades; their enormous stress tolerance. The lack of molecular evidence for individual tardigrade species (e.g., gene expression data for M. tardigradum) and the non-existence of a universal experimental framework which enables hypothesis testing withing the whole phylum Tardigrada, made it nearly impossible to link footprints of genomic adaptations to the unusual physiological capabilities. Nevertheless, the (comparative) genomic framework established during this project will help to understand how evolution tinkered, rewired and modified existing molecular systems to shape the remarkable phenotypic features of tardigrades. N2 - Alle lebenden Organismen verwenden Mechanismen und Rückkopplungssysteme um Reproduktion, Überlebenswahrscheinlichkeit, Abwehreffizienz und Konkurrenzfähigkeit in ihrem natürlichen Habitat zu optimieren. Evolutionäre Theorien, wie die von John Philip Grime (1979) entwickelte „universal adaptive strategy theory“ (UAST), versuchen zu beschreiben wie diese Systeme durch eine Balance zwischen Wachstum, Erhaltung und Regeneration, auch gemeinhin bekannt als universeller Dreiwege-Ausgleich, des jeweiligen Organismus limitiert sind. Grime führte dazu drei adaptive Strategien ein, die es Organismen ermöglicht sich an hohe oder niedrige Stress-Intensitäten (z.B. Nahrungsknappheit) oder umweltbedingte Beeinträchtigung (z.B. Jahreszeiten) anzupassen. Der Wettkämpfer ist in der Lage seine Konkurrenz durch eine effiziente Ressourcengewinnung zu überflügeln und ist vor allem bei niedrigem Stresslevel und minimalen umweltbedingten Beeinträchtigungen effizient (z. B. schnelles Wachstum). Ruderale Organismen hingegen durchlaufen den Leben- szyklus in kurzer Zeit und sind damit perfekt an starke umweltbedingte Beeinträchtigungen, wie zum Beispiel Jahreszeiten, angepasst. Allerdings können auch sie nur bei niedrigen Stresslevel effizient wachsen. Die letzte Gruppe von Organismen, die Stresstoleranten sind in der Lage sich an hohen Stressintensitäten mithilfe extremer physiologischer Variabilität anzupassen, können das allerdings nur in Umgebungen mit niedrigen umweltbedingten Beeinträchtigungen. Fleischfressende Pflanzen wie die Venusfliegenfalle (D. muscipula) oder Bärtierchen (M. tardigradum) sind zwei herausragende Beispiele für stresstolerante Organismen. Die Venusfliegenfalle ist in der Lage Insekten mit spezialisierten Blätter, welche eine einzigartige Falle bilden, zu fangen. Die Pflanze kompensiert so die stark verminderte Mengen an wichtigen Makronährstoffen (z.B. Stickstoff) in den Sümpfen von Nord- und Süd-Carolina. Bärtierchen dagegen sind in der Lage in schnell austrocknenden Habitaten wie Moosen oder Flechten, die normalerweise mit einem Wasserfilm überzogen sind, durch eine gesteuerte Entwässerung ihres Körpers zu überleben. Die Stresstoleranz beider Spezies ist zentraler Forschungsschwerpunkt dieser Dissertation. In beiden Fällen wer- den Hochdurchsatz-Methoden zur Sequenzierung verwendet um genomische (Bärtierchen) sowie transkriptomische (Venusfliegenfalle) Anpassungen zu identifizieren, die der enorem Stresstoleranz zugrunde liegen. Um den erhöhten technischen Anforderungen der Datenanal- ysen beider Projekte Rechnung zu tragen wurde in den ersten Monaten der Dissertation eine neue zentrale Rechenumgebung und ein dazugehöriges Speichersystem etabliert. Parallel wurde die Datenmanagementplattform TBro [14] zusammen mit Studenten aufgesetzt, um komplexe biologische Fragestellung mit einem fachübergreifendem Kollegium zu bearbeiten. Danach wurden die einzigartigen Fangfähigkeiten der Venusfliegenfalle mittels einem tran- skriptomischen Ansatz untersucht. Vor allem wurden transkriptionelle Änderungen infolge eines Beutefangs sowie gewebespezifische Aspekte der ruhenden Pflanzen untersucht. Die Analyse zeigte deutlich, dass die Fallen der fleischfressenden Pflanze immer noch Merkmale von typischen „grünen“ Blättern aufweisen. Während des Beutefangs und -verdauens jedoch wird eine Vielzahl an evolutionär konservierten Systemen aktiviert, die bisher nur mit Stres- santworten und zellulärer Verteidigung in Verbindung gebracht worden sind. Die Integration von proteomischen und transkriptomischen Hochdurchsatzdaten ermöglichte es zudem den Verdauungssaft der Venusfliegenfalle genaustens zu beschreiben und wichtige Komponenten der Aufnahmemaschinerie zu identifizieren. Die wissenschaftliche Arbeit [25] und das beglei- tende Videomaterial (https://www.eurekalert.org/pub_releases/2016-05/cshl-fgr042816.php; Video credit: Sönke Scherzer) erfreute sich einer breiten Berichterstattung in den Medien und unterstreicht die Vorteile der Venusfliegenfalle als experimentelles System um fleis- chfressende Pflanzen besser zu verstehen. Die genomische Analyse des Bärtierchen (M. tardigradum) zielte auf die außerordentliche Stresstoleranz, vor allem auf die Kryptobiose, einen Zustand in dem Stoffwechselvorgänge extrem reduziert sind, ab. Dazu wurden das komplette genetische Erbgut (Genom) entschlüsselt. Die Größe des Genomes wurde bes- timmt und das Erbgut mittels Sequenzierung entschlüsselt. Die gewonnenen Daten wurden zu einer kontinuierlichen Sequenz zusammengesetzt und Gene identifiziert. Der dabei etablierte Arbeitsablauf wurde verwendet um ein weiteres Bärtierchengenom genau zu überprüfen. Im Rahmen dieser Analyse stellte sich heraus, dass eine große Anzahl an Kontaminationen im Genom von H. dujardini vorhanden sind [27]. Das neu etablierte Genom von M. tardigradum wurde im folgenden verwendet um einen speziesübergreifenden Vergleich dreier Bärtierchen und aller Spezies aus der Metazoadatenbank von Ensembl durchzuführen. Die Analyse zeigte, dass Bärtierchengenome sehr viel Ähnlichkeit zu den bereits veröffentlichten Genomen aus dem Überstamm der Urmünder (Protostomia) aufweisen. Die erstmalige Verfügbarkeit aller Bärtierchengenome ermöglichte es zudem, das Phylum der Bärtierchen als Schwester der Nematoden mittels einer phylogenomische Analyse zu platzieren. Die vergleichende Anal- yse identifizierte außerdem zentrale evolutionäre Trends, vor allem einen enormen Verlust an Genen in dieser Linie der Metazoa. Die Analyse ermöglichte es aber nicht, generelle Mechanismen, die zur enormen Stresstoleranz in Bärtierchen führen, artübergreifend zu identifizieren. Vor allem das Fehlen von weiteren molekularen Daten für einzelne Bärtierchen- spezies (z.B. transkriptionelle Daten für M. tardigradum) machten es unmöglich die wenigen genomische Adaptionen mit den physiologischen Besonderheiten der Bärtierchen in Deckung zu bringen. Nichtsdestotrotz konnten die vergleichenden Analysen zeigen, dass Evolution auch innerhalb der Bärtierchen verschiedenste Systeme neu zusammensetzt, neue Funktionen erschafft oder bestehenden Systeme modifiziert und damit die außerordentliche phänotypis- che Variabilität ermöglicht. KW - transcriptome KW - venus KW - flytrap KW - defense KW - secretion KW - jasmonate KW - Bärtierchen KW - Genom KW - Stressresistenz KW - Venusfliegenfalle KW - Proteom KW - Transkriptom Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-157109 ER - TY - JOUR A1 - Biscotti, Maria Assunta A1 - Gerdol, Marco A1 - Canapa, Adriana A1 - Forconi, Mariko A1 - Olmo, Ettore A1 - Pallavicini, Alberto A1 - Barucca, Marco A1 - Schartl, Manfred T1 - The Lungfish Transcriptome: A Glimpse into Molecular Evolution Events at the Transition from Water to Land JF - Scientific Reports N2 - Lungfish and coelacanths are the only living sarcopterygian fish. The phylogenetic relationship of lungfish to the last common ancestor of tetrapods and their close morphological similarity to their fossil ancestors make this species uniquely interesting. However their genome size, the largest among vertebrates, is hampering the generation of a whole genome sequence. To provide a partial solution to the problem, a high-coverage lungfish reference transcriptome was generated and assembled. The present findings indicate that lungfish, not coelacanths, are the closest relatives to land-adapted vertebrates. Whereas protein-coding genes evolve at a very slow rate, possibly reflecting a “living fossil” status, transposable elements appear to be active and show high diversity, suggesting a role for them in the remarkable expansion of the lungfish genome. Analyses of single genes and gene families documented changes connected to the water to land transition and demonstrated the value of the lungfish reference transcriptome for comparative studies of vertebrate evolution. KW - lungfish KW - transcriptome KW - genome KW - sarcopterygian fish Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-167753 VL - 6 IS - 21571 ER - TY - JOUR A1 - Dedukh, Dmitrij A1 - Da Cruz, Irene A1 - Kneitz, Susanne A1 - Marta, Anatolie A1 - Ormanns, Jenny A1 - Tichopád, Tomáš A1 - Lu, Yuan A1 - Alsheimer, Manfred A1 - Janko, Karel A1 - Schartl, Manfred T1 - Achiasmatic meiosis in the unisexual Amazon molly, Poecilia formosa JF - Chromosome Research N2 - Unisexual reproduction, which generates clonal offspring, is an alternative strategy to sexual breeding and occurs even in vertebrates. A wide range of non-sexual reproductive modes have been described, and one of the least understood questions is how such pathways emerged and how they mechanistically proceed. The Amazon molly, Poecilia formosa, needs sperm from males of related species to trigger the parthenogenetic development of diploid eggs. However, the mechanism, of how the unreduced female gametes are produced, remains unclear. Cytological analyses revealed that the chromosomes of primary oocytes initiate pachytene but do not proceed to bivalent formation and meiotic crossovers. Comparing ovary transcriptomes of P. formosa and its sexual parental species revealed expression levels of meiosis-specific genes deviating from P. mexicana but not from P. latipinna. Furthermore, several meiosis genes show biased expression towards one of the two alleles from the parental genomes. We infer from our data that in the Amazon molly diploid oocytes are generated by apomixis due to a failure in the synapsis of homologous chromosomes. The fact that this failure is not reflected in the differential expression of known meiosis genes suggests the underlying molecular mechanism may be dysregulation on the protein level or misexpression of a so far unknown meiosis gene, and/or hybrid dysgenesis because of compromised interaction of proteins from diverged genomes. KW - meiosis KW - parthenogenesis KW - synaptonemal complex KW - recombination KW - crossing-over KW - achiasmatic KW - transcriptome KW - oogenesis Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-325128 VL - 30 IS - 4 ER - TY - JOUR A1 - Förster, Frank A1 - Beisser, Daniela A1 - Grohme, Markus A. A1 - Liang, Chunguang A1 - Mali, Brahim A1 - Siegl, Alexander Matthias A1 - Engelmann, Julia C. A1 - Shkumatov, Alexander V. A1 - Schokraie, Elham A1 - Müller, Tobias A1 - Schnölzer, Martina A1 - Schill, Ralph O. A1 - Frohme, Marcus A1 - Dandekar, Thomas T1 - Transcriptome analysis in tardigrade species reveals specific molecular pathways for stress adaptations JF - Bioinformatics and biology insights N2 - Tardigrades have unique stress-adaptations that allow them to survive extremes of cold, heat, radiation and vacuum. To study this, encoded protein clusters and pathways from an ongoing transcriptome study on the tardigrade \(Milnesium\) \(tardigradum\) were analyzed using bioinformatics tools and compared to expressed sequence tags (ESTs) from \(Hypsibius\) \(dujardini\), revealing major pathways involved in resistance against extreme environmental conditions. ESTs are available on the Tardigrade Workbench along with software and databank updates. Our analysis reveals that RNA stability motifs for \(M.\) \(tardigradum\) are different from typical motifs known from higher animals. \(M.\) \(tardigradum\) and \(H.\) \(dujardini\) protein clusters and conserved domains imply metabolic storage pathways for glycogen, glycolipids and specific secondary metabolism as well as stress response pathways (including heat shock proteins, bmh2, and specific repair pathways). Redox-, DNA-, stress- and protein protection pathways complement specific repair capabilities to achieve the strong robustness of \(M.\) \(tardigradum\). These pathways are partly conserved in other animals and their manipulation could boost stress adaptation even in human cells. However, the unique combination of resistance and repair pathways make tardigrades and \(M.\) \(tardigradum\) in particular so highly stress resistant. KW - RNA KW - expressed sequence tag KW - cluster KW - protein familiy KW - adaption KW - tardigrada KW - transcriptome Y1 - 2012 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-123089 N1 - This is an open access article. Unrestricted non-commercial use is permitted provided the original work is properly cited. VL - 6 ER - TY - JOUR A1 - Gupta, Shishir K. A1 - Kupper, Maria A1 - Ratzka, Carolin A1 - Feldhaar, Heike A1 - Vilcinskas, Andreas A1 - Gross, Roy A1 - Dandekar, Thomas A1 - Förster, Frank T1 - Scrutinizing the immune defence inventory of Camponotus floridanus applying total transcriptome sequencing JF - BMC Genomics N2 - Background Defence mechanisms of organisms are shaped by their lifestyle, environment and pathogen pressure. Carpenter ants are social insects which live in huge colonies comprising genetically closely related individuals in high densities within nests. This lifestyle potentially facilitates the rapid spread of pathogens between individuals. In concert with their innate immune system, social insects may apply external immune defences to manipulate the microbial community among individuals and within nests. Additionally, carpenter ants carry a mutualistic intracellular and obligate endosymbiotic bacterium, possibly maintained and regulated by the innate immune system. Thus, different selective forces could shape internal immune defences of Camponotus floridanus. Results The immune gene repertoire of C. floridanus was investigated by re-evaluating its genome sequence combined with a full transcriptome analysis of immune challenged and control animals using Illumina sequencing. The genome was re-annotated by mapping transcriptome reads and masking repeats. A total of 978 protein sequences were characterised further by annotating functional domains, leading to a change in their original annotation regarding function and domain composition in about 8 % of all proteins. Based on homology analysis with key components of major immune pathways of insects, the C. floridanus immune-related genes were compared to those of Drosophila melanogaster, Apis mellifera, and other hymenoptera. This analysis revealed that overall the immune system of carpenter ants comprises many components found in these insects. In addition, several C. floridanus specific genes of yet unknown functions but which are strongly induced after immune challenge were discovered. In contrast to solitary insects like Drosophila or the hymenopteran Nasonia vitripennis, the number of genes encoding pattern recognition receptors specific for bacterial peptidoglycan (PGN) and a variety of known antimicrobial peptide (AMP) genes is lower in C. floridanus. The comparative analysis of gene expression post immune-challenge in different developmental stages of C. floridanus suggests a stronger induction of immune gene expression in larvae in comparison to adults. Conclusions The comparison of the immune system of C. floridanus with that of other insects revealed the presence of a broad immune repertoire. However, the relatively low number of PGN recognition proteins and AMPs, the identification of Camponotus specific putative immune genes, and stage specific differences in immune gene regulation reflects Camponotus specific evolution including adaptations to its lifestyle. KW - immune system KW - transcriptome KW - carpenter ant KW - camponotus floridanus KW - re-annotation Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-125279 VL - 16 IS - 540 ER - TY - JOUR A1 - Liu, Han A1 - Chen, Chunhai A1 - Gao, Zexia A1 - Min, Jiumeng A1 - Gu, Yongming A1 - Jian, Jianbo A1 - Jiang, Xiewu A1 - Cai, Huimin A1 - Ebersberger, Ingo A1 - Xu, Meng A1 - Zhang, Xinhui A1 - Chen, Jianwei A1 - Luo, Wei A1 - Chen, Boxiang A1 - Chen, Junhui A1 - Liu, Hong A1 - Li, Jiang A1 - Lai, Ruifang A1 - Bai, Mingzhou A1 - Wei, Jin A1 - Yi, Shaokui A1 - Wang, Huanling A1 - Cao, Xiaojuan A1 - Zhou, Xiaoyun A1 - Zhao, Yuhua A1 - Wei, Kaijian A1 - Yang, Ruibin A1 - Liu, Bingnan A1 - Zhao, Shancen A1 - Fang, Xiaodong A1 - Schartl, Manfred A1 - Qian, Xueqiao A1 - Wang, Weimin T1 - The draft genome of blunt snout bream (Megalobrama amblycephala) reveals the development of intermuscular bone and adaptation to herbivorous diet JF - GigaScience N2 - The blunt snout bream Megalobrama amblycephala is the economically most important cyprinid fish species. As an herbivore, it can be grown by eco-friendly and resource-conserving aquaculture. However, the large number of intermuscular bones in the trunk musculature is adverse to fish meat processing and consumption. As a first towards optimizing this aquatic livestock, we present a 1.116-Gb draft genome of M. amblycephala, with 779.54 Mb anchored on 24 linkage groups. Integrating spatiotemporal transcriptome analyses, we show that intermuscular bone is formed in the more basal teleosts by intramembranous ossification and may be involved in muscle contractibility and coordinating cellular events. Comparative analysis revealed that olfactory receptor genes, especially of the beta type, underwent an extensive expansion in herbivorous cyprinids, whereas the gene for the umami receptor T1R1 was specifically lost in M. amblycephala. The composition of gut microflora, which contributes to the herbivorous adaptation of M. amblycephala, was found to be similar to that of other herbivores. As a valuable resource for the improvement of M. amblycephala livestock, the draft genome sequence offers new insights into the development of intermuscular bone and herbivorous adaptation. KW - Megalobrama amblycephala KW - whole genome KW - herbivorous diet KW - intermuscular bone KW - transcriptome KW - gut microflora Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-170844 VL - 6 IS - 7 ER - TY - JOUR A1 - Ngwa, Che Julius A1 - Scheuermayer, Matthias A1 - Mair, Gunnar Rudolf A1 - Kern, Selina A1 - Brügl, Thomas A1 - Wirth, Christine Clara A1 - Aminake, Makoah Nigel A1 - Wiesner, Jochen A1 - Fischer, Rainer A1 - Vilcinskas, Andreas A1 - Pradel, Gabriele T1 - Changes in the transcriptome of the malaria parasite Plasmodium falciparum during the initial phase of transmission from the human to the mosquito JF - BMC Genomics N2 - Background: The transmission of the malaria parasite Plasmodium falciparum from the human to the mosquito is mediated by dormant sexual precursor cells, the gametocytes, which become activated in the mosquito midgut. Because gametocytes are the only parasite stages able to establish an infection in the mosquito, they play a crucial role in spreading the tropical disease. The human-to-mosquito transmission triggers important molecular changes in the gametocytes, which initiate gametogenesis and prepare the parasite for life-cycle progression in the insect vector. Results: To better understand gene regulations during the initial phase of malaria parasite transmission, we focused on the transcriptome changes that occur within the first half hour of parasite development in the mosquito. Comparison of mRNA levels of P. falciparum gametocytes before and 30 min following activation using suppression subtractive hybridization (SSH) identified 126 genes, which changed in expression during gametogenesis. Among these, 17.5% had putative functions in signaling, 14.3% were assigned to cell cycle and gene expression, 8.7% were linked to the cytoskeleton or inner membrane complex, 7.9% were involved in proteostasis and 6.4% in metabolism, 12.7% were cell surface-associated proteins, 11.9% were assigned to other functions, and 20.6% represented genes of unknown function. For 40% of the identified genes there has as yet not been any protein evidence. For a subset of 27 genes, transcript changes during gametogenesis were studied in detail by real-time RT-PCR. Of these, 22 genes were expressed in gametocytes, and for 15 genes transcript expression in gametocytes was increased compared to asexual blood stage parasites. Transcript levels of seven genes were particularly high in activated gametocytes, pointing at functions downstream of gametocyte transmission to the mosquito. For selected genes, a regulated expression during gametogenesis was confirmed on the protein level, using quantitative confocal microscopy. Conclusions: The obtained transcriptome data demonstrate the regulations of gene expression immediately following malaria parasite transmission to the mosquito. Our findings support the identification of proteins important for sexual reproduction and further development of the mosquito midgut stages and provide insights into the genetic basis of the rapid adaption of Plasmodium to the insect vector. KW - parasitophorous vacuole KW - sexual development KW - gametocyte KW - transcriptome KW - signal peptide peptidase KW - host cell interface KW - alpha-tubulin-II KW - life-cycle KW - protein kinases KW - in-vitro KW - erythroyte invation KW - blocking antibodies KW - malaria KW - plasmodium falciparum KW - gametogenesis KW - mosquito KW - transmission Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-121905 SN - 1471-2164 VL - 14 IS - 256 ER - TY - THES A1 - Pahlavan, Pirasteh T1 - Integrated Systems Biology Analysis; Exemplified on Potyvirus and Geminivirus interaction with \(Nicotiana\) \(benthamiana\) T1 - Integrierte Systeme Biologie Analyse, Beispiel für Potyvirus und Geminivirus Interaktion mit \(Nicotiana\) \(benthamiana\) N2 - Viral infections induce a significant impact on various functional categories of biological processes in the host. The understanding of this complex modification of the infected host immune system requires a global and detailed overview on the infection process. Therefore it is essential to apply a powerful approach which identifies the involved components conferring the capacity to recognize and respond to specific pathogens, which in general are defeated in so-called compatible virus-plant infections. Comparative and integrated systems biology of plant-virus interaction progression may open a novel framework for a systemic picture on the modulation of plant immunity during different infections and understanding pathogenesis mechanisms. In this thesis these approaches were applied to study plant-virus infections during two main viral pathogens of cassava: Cassava brown streak virus and African cassava mosaic virus. Here, the infection process was reconstructed by a combination of omics data-based analyses and metabolic network modelling, to understand the major metabolic pathways and elements underlying viral infection responses in different time series, as well as the flux activity distribution to gain more insights into the metabolic flow and mechanism of regulation; this resulted in simultaneous investigations on a broad spectrum of changes in several levels including the gene expression, primary metabolites, and enzymatic flux associated with the characteristic disease development process induced in Nicotiana benthamiana plants due to infection with CBSV or ACMV. Firstly, the transcriptome dynamics of the infected plant was analysed by using mRNA-sequencing, in order to investigate the differential expression profile according the symptom developmental stage. The spreading pattern and different levels of biological functions of these genes were analysed associated with the infection stage and virus entity. A next step was the Real-Time expression modification of selected key pathway genes followed by their linear regression model. Subsequently, the functional loss of regulatory genes which trigger R-mediated resistance was observed. Substantial differences were observed between infected mutants/transgenic lines and wild-types and characterized in detail. In addition, we detected a massive localized accumulation of ROS and quantified the scavenging genes expression in the infected wild-type plants relative to mock infected controls. Moreover, we found coordinated regulated metabolites in response to viral infection measured by using LC-MS/MS and HPLC-UV-MS. This includes the profile of the phytohormones, carbohydrates, amino acids, and phenolics at different time points of infection with the RNA and DNA viruses. This was influenced by differentially regulated enzymatic activities along the salicylate, jasmonate, and chorismate biosynthesis, glycolysis, tricarboxylic acid cycle, and pentose phosphate pathways, as well as photosynthesis, photorespiration, transporting, amino acid and fatty acid biosynthesis. We calculated the flux redistribution considering a gradient of modulation for enzymes along different infection stages, ranging from pre-symptoms towards infection stability. Collectively, our reverse-engineering study consisting of the generation of experimental data and modelling supports the general insight with comparative and integrated systems biology into a model plant-virus interaction system. We refine the cross talk between transcriptome modification, metabolites modulation and enzymatic flux redistribution during compatible infection progression. The results highlight the global alteration in a susceptible host, correlation between symptoms severity and the alteration level. In addition we identify the detailed corresponding general and specific responses to RNA and DNA viruses at different stages of infection. To sum up, all the findings in this study strengthen the necessity of considering the timing of treatment, which greatly affects plant defence against viral infection, and might result in more efficient or combined targeting of a wider range of plant pathogens. N2 - Virale Infektionen haben einen signifikanten Einfluss auf verschiedene funktionelle Eigenschaften und biologische Prozesse im Wirt. Das Verständnis dieser komplexen Modifikation des infizierten Wirtsimmunsystems benötigt eine globale und detaillierte Einsicht in den Infektionsprozess. Diese erfordert einen leistungsfähigen Ansatz zur Identifizierung der beteiligten Komponenten, welche eine Pathogen-Erkennung und Antwort vermitteln bzw. eine kompatible Virus-Pflanze-Infektion voraussetzen. Die Anwendung der vergleichenden und integrierten Systembiologie zur Untersuchung dieser Pflanzen-Virus-Interaktionen im Infektionsverlauf kann eine neue Grundlage zum systematischen Verständnis der Modulation des Immunsystems der Pflanze und der Pathogen-Mechanismen während verschiedener Infektionen eröffnen. In dieser Arbeit wenden wir diese Ansätze an, um Pflanzen-Virus-Infektionen der zwei häufigsten viralen Pathogenen von Maniok zu untersuchen, den Cassava brown streak virus (CBSV) und den African cassava mosaic virus (ACMV). Dazu rekonstruieren wir den Infektionsprozess durch die Kombination von „omics“ basierten Datenanalysen und metabolischen Netzwerkmodellen um die wichtigen Elemente des viralen Infektionsprozesses zu verschieden Zeitpunkten aufzuklären. Metabolische Flussanalysen geben Einblick in metabolische Umsätze und deren Regulierung. Diese simultanen Untersuchungen erfassen ein breites Spektrum der Virus-vermittelten Veränderungen im Wirt über mehrere „omics“ Ebenen, einschließlich Geneexpression, Primärmetabolite und enzymatischer Aktivitäten, die mit dem charakteristischen Krankheitsentwicklungsprozess assoziiert sind, der in Nicotiana benthamiana Pflanzen aufgrund einer Infektion mit CBSV oder ACMV induziert wurde. Zuerst wurde die Dynamik des Transkriptoms infizierter Pflanzen mittels mRNA-Sequenzierung analysiert um das differentielle Expressionsprofil nach dem Symptomentwicklungsstadium zu untersuchen. Die Expressionsmuster und die biologischen Funktionen dieser Gene wurden im Hinblick auf die Infektionsstufe und den Virus Einheiten aufgelöst. Ein nächster Schritt war die Echtzeit-Expressionsmodifikation ausgewählter Schlüsselprozess-Gene, gefolgt von der Umsetzung im linearen Regressionsmodell. Anschließend wurde der funktionelle Verlust von regulatorischen Genen ermittelt, welche eine R-vermittelte Resistenz auslösen können. Es wurden erhebliche Unterschiede zwischen infizierten Mutanten / transgenen Linien und Wild-typen beobachtet und im Detail charakterisiert. Darüber hinaus entdeckten wir eine massive lokalisierte Akkumulation von reaktiven Sauerstoffspezies und quantifizierten die Expression von Abbauproteinen in den infizierten Wildtyp-Pflanzen relativ zu Mock-infizierten Kontrollen. Darüber hinaus fanden wir koordinierte regulierte Metaboliten als Reaktion auf eine virale Infektion, gemessen unter Verwendung von LC-MS / MS und HPLC-UV-MS Techniken. Dazu gehören die Analyse der Profile von Phytohormonen, Kohlenhydraten, Aminosäuren, und Phenolika zu verschiedenen Zeitpunkten der Infektion mit den RNA und DNA-Viren. Diese wurden beeinflusst durch die differentielle regulierten enzymatischen Aktivitäten entlang der Salicylat-, Jasmonat- und Chorismat-Biosynthese, der Glykolyse, Tricarbonsäure und Pentose-Phosphat-Umsetzung, der Photosynthese und Photorespiration, des Transportes und der Aminosäure sowie Fettsäure-Biosynthese. Wir berechneten die Umverteilung des metabolischen Flusses unter Berücksichtigung einer ansteigenden Beeinflussung von Enzymen in den verschiedeneren Infektionsstadien, die von Prä-Symptomen zur Infektionsstabilität reichen. Zusammengefasst beinhaltet unsere Reverse-Engineering-Studie die Generierung von experimentellen Daten und deren Modellierung mittels vergleichender und integrierter Systembiologie zum Einblick in das Modell-Pflanzen-Virus-Interaktionssystem. Wir lösten die Interaktion zwischen Transkriptom-Modifikation, Metabolitenmodulation und die Umverteilung des metabolischen Flusses während des kompatiblen Infektionsprozesses auf. Das Ergebnis zeigt die globalen Veränderungen in einem anfälligen Wirt auf, sowie die Korrelation zwischen Symptomschwere und der Stärke dieser Veränderungen. Darüber hinaus identifizieren wir im Detail die entsprechenden allgemeinen und spezifischen Reaktionen auf RNA und DNA-Viren in den verschiedenen Stadien der Infektion. Zusammenfassend lässt sich feststellen, dass die Erkenntnisse aus dieser Studie die Notwendigkeit aufzeigen, den zeitlichen Ablauf bei einer Pflanzenschutzbehandlung zu berücksichtigen, welche die pflanzliche Abwehr gegen eine Virusinfektion stark beeinflusst; und insgesamt zu einer effizienteren oder kombinierten Anwendung gegen ein breiteres Spektrum von Pflanzenpathogenen führen könnte. KW - RNA-seq KW - virus KW - next generation sequencing KW - transcriptome KW - fluxosome KW - metabolite profiling Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-153412 N1 - I also provided some supplementary data in digital version, which are available on-request from the dean's office. ER - TY - JOUR A1 - Peixoto, Joana A1 - Janaki-Raman, Sudha A1 - Schlicker, Lisa A1 - Schmitz, Werner A1 - Walz, Susanne A1 - Winkelkotte, Alina M. A1 - Herold-Mende, Christel A1 - Soares, Paula A1 - Schulze, Almut A1 - Lima, Jorge T1 - Integrated metabolomics and transcriptomics analysis of monolayer and neurospheres from established glioblastoma cell lines JF - Cancers N2 - Altered metabolic processes contribute to carcinogenesis by modulating proliferation, survival and differentiation. Tumours are composed of different cell populations, with cancer stem-like cells being one of the most prominent examples. This specific pool of cells is thought to be responsible for cancer growth and recurrence and plays a particularly relevant role in glioblastoma (GBM), the most lethal form of primary brain tumours. Here, we have analysed the transcriptome and metabolome of an established GBM cell line (U87) and a patient-derived GBM stem-like cell line (NCH644) exposed to neurosphere or monolayer culture conditions. By integrating transcriptome and metabolome data, we identified key metabolic pathways and gene signatures that are associated with stem-like and differentiated states in GBM cells, and demonstrated that neurospheres and monolayer cells differ substantially in their metabolism and gene regulation. Furthermore, arginine biosynthesis was identified as the most significantly regulated pathway in neurospheres, although individual nodes of this pathway were distinctly regulated in the two cellular systems. Neurosphere conditions, as opposed to monolayer conditions, cause a transcriptomic and metabolic rewiring that may be crucial for the regulation of stem-like features, where arginine biosynthesis may be a key metabolic pathway. Additionally, TCGA data from GBM patients showed significant regulation of specific components of the arginine biosynthesis pathway, providing further evidence for the importance of this metabolic pathway in GBM. KW - glioblastoma KW - neurospheres KW - monolayer KW - metabolome KW - transcriptome KW - arginine metabolism Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-234110 SN - 2072-6694 VL - 13 IS - 6 ER - TY - THES A1 - Schwarz, Roland T1 - Modellierung von Metabolismus, Transkriptom und Zellentwicklung bei Arabidopsis, Listerien und anderen Organismen T1 - Modeling of metabolism, transcriptome and cell development in Arabidopsis, Listeria and other organisms N2 - Im gleichen Maße wie informatisches Wissen mehr und mehr in den wissenschaftlichen Alltag aller Lebenswissenschaften Einzug gehalten hat, hat sich der Schwerpunkt bioinformatischer Forschung in stärker mathematisch und informatisch-orientierte Themengebiete verschoben. Bioinformatik heute ist mehr als die computergestützte Verarbeitung großer Mengen an biologischen Daten, sondern hat einen entscheidenden Fokus auf der Modellierung komplexer biologischer Systeme. Zur Anwendung kommen hierbei insbesondere Theorien aus dem Bereich der Stochastik und Statistik, des maschinellen Lernens und der theoretischen Informatik. In der vorliegenden Dissertation beschreibe ich in Fallstudien die systematische Modellierung biologischer Systeme aus einem informatisch - mathematischen Standpunkt unter Anwendung von Verfahren aus den genannten Teilbereichen und auf unterschiedlichen Ebenen biologischer Abstraktion. Ausgehend von der Sequenzinformation über Transkriptom, Metabolom und deren regulatorischer Interaktion hin zur Modellierung von Populationseffekten werden hierbei aktuelle biologische Fragestellungen mit mathematisch - informatischen Modellen und einer Vielzahl experimenteller Daten kombiniert. Ein besonderer Augenmerk liegt dabei auf dem Vorgang der Modellierung und des Modellbegriffs als solchem im Rahmen moderner bioinformatischer Forschung. Im Detail umfassen die Projekte (mehrere Publikationen) die Entwicklung eines neuen Ansatzes zur Einbettung und Visualisierung von Multiplen Sequenz- und Sequenz-Strukturalignments, illustriert am Beispiel eines Hemagglutininalignments unterschiedlicher H5N1 Varianten, sowie die Modellierung des Transkriptoms von A. thaliana, bei welchem mit Hilfe einer kernelisierten nicht-parametrischen Metaanalyse neue, an der Infektionsabwehr beteiligten, Gene ausfindig gemacht werden konnten. Desweiteren ist uns mit Hilfe unserer Software YANAsquare eine detaillierte Untersuchung des Metabolismus von L. monocytogenes unter Aktivierung des Transkriptionsfaktors prfA gelungen, dessen Vorhersagen durch experimentelle 13C Isotopologstudien belegt werden konnten. In einem Anschlußprojekt war der Zusammenhang zwischen Regulation des Metabolismus durch Regulation der Genexpression und der Fluxverteilung des metabolischen Steady- State-Netzwerks das Ziel. Die Modellierung eines komplexen organismischen Phänotyps, der Zellgrößenentwicklung der Diatomee Pseudo-nitzschia delicatissima, schließt die Untersuchungen ab. N2 - In the same way that informatical knowledge has made its way into almost all areas of research in the Life Sciences, the focus of bioinformatical research has shifted towards topics originating more in the fields of mathematics and theoretical computer science. Bioinformatics today is more than the computer-driven processing of huge amounts of biological data, but it has a special focus on the emphmodelling of complex biological systems. Of special importance hereby are theories from stochastics and statistics, from the field of machine learning and theoretical computer science. In the following dissertation, I describe the systematic modelling of biological systems from an informatical-mathematical point of view in a case studies approach, applying methods from the aforementioned areas of research and on different levels of biological abstraction. Beginning with the sequence information itself, followed by the transcriptome, metabolome and the interaction of both and finally population effects I show how current biological questions can be tackled with mathematical models and combined with a variety of different experimental datasets. A special focus lies hereby on the procedure of modelling and the concept and notion of a model as such in the framework of bioinformatical research. In more detail, the projects contained the development of a new approach for embedding and visualizing Multiple Sequence and Structure Alignments, which was illustrated using a hemagglutinin alignment from different H5N1 variants as an example. Furthermore we investigated the A. thaliana transcriptome by means of a kernelized non-parametric meta-analysis, thus being able to annotate several new genes as pathogen-defense related. Another major part of this work was the modelling of the metabolic network of L. monocytogenes under activation of the transcription factor prfA, establishing predictions which were later verified by experimental 13C isotopologue studies. Following this project we investigated the relationship between the regulation of metabolism by changes in the cellular genexpression patterns and the flux distributions of the metabolic steady-state network. Modelling of a complex organismal property, the cell size development of the planktonic diatom Pseudo-nitzschia delicatissima concludes this work. KW - Bioinformatik KW - Würzburg / Universität / Lehrstuhl für Bioinformatik KW - Modellierung KW - Metabolismus KW - Stoffwechsel KW - Transkriptom KW - Transkriptomanalyse KW - bioinformatics KW - metabolome KW - transcriptome KW - modeling KW - steady-state Y1 - 2008 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-27622 ER -