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The Venus flytrap, \textit{Dionaea muscipula}, with its carnivorous life-style and its highly
specialized snap-traps has fascinated biologist since the days of Charles Darwin. The
goal of the \textit{D. muscipula} genome project is to gain comprehensive insights into the
genomic landscape of this remarkable plant.
The genome of the diploid Venus flytrap with an estimated size between 2.6 Gbp to
3.0 Gbp is comparatively large and comprises more than 70 % of repetitive regions.
Sequencing and assembly of genomes of this scale are even with state-of-the-art
technology and software challenging. Initial sequencing and assembly of the genome
was performed by the BGI (Beijing Genomics Institute) in 2011 resulting in a 3.7 Gbp
draft assembly. I started my work with thorough assessment of the delivered assembly
and data. My analysis showed that the BGI assembly is highly fragmented and
at the same time artificially inflated due to overassembly of repetitive sequences.
Furthermore, it only comprises about on third of the expected genes in full-length,
rendering it inadequate for downstream analysis.
In the following I sought to optimize the sequencing and assembly strategy to obtain
an assembly of higher completeness and contiguity by improving data quality and
assembly procedure and by developing tailored bioinformatics tools. Issues with
technical biases and high levels of heterogeneity in the original data set were solved
by sequencing additional short read libraries from high quality non-polymorphic DNA
samples. To address contiguity and heterozygosity I examined numerous alternative
assembly software packages and strategies and eventually identified ALLPATHS-LG
as the most suited program for assembling the data at hand. Moreover, by utilizing
digital normalization to reduce repetitive reads, I was able to substantially reduce
computational demands while at the same time significantly increasing contiguity of
the assembly.
To improve repeat resolution and scaffolding, I started to explore the novel PacBio
long read sequencing technology. Raw PacBio reads exhibit high error rates of 15 %
impeding their use for assembly. To overcome this issue, I developed the PacBio
hybrid correction pipeline proovread (Hackl et al., 2014). proovread uses high
coverage Illumina read data in an iterative mapping-based consensus procedure to
identify and remove errors present in raw PacBio reads. In terms of sensitivity and
accuracy, proovread outperforms existing software. In contrast to other correction
programs, which are incapable of handling data sets of the size of D. muscipula
project, proovread’s flexible design allows for the efficient distribution of work load on high-performance computing clusters, thus enabling the correction of the Venus
flytrap PacBio data set.
Next to the assembly process itself, also the assessment of the large de novo draft
assemblies, particularly with respect to coverage by available sequencing data, is
difficult. While typical evaluation procedures rely on computationally extensive
mapping approaches, I developed and implemented a set of tools that utilize k-mer
coverage and derived values to efficiently compute coverage landscapes of large-scale
assemblies and in addition allow for automated visualization of the of the obtained
information in comprehensive plots.
Using the developed tools to analyze preliminary assemblies and by combining my
findings regarding optimizations of the assembly process, I was ultimately able to
generate a high quality draft assembly for D. muscipula. I further refined the assembly
by removal of redundant contigs resulting from separate assembly of heterozygous
regions and additional scaffolding and gapclosing using corrected PacBio data. The
final draft assembly comprises 86 × 10 3 scaffolds and has a total size of 1.45 Gbp.
The difference to the estimated genomes size is well explained by collapsed repeats.
At the same time, the assembly exhibits high fractions full-length gene models,
corroborating the interpretation that the obtained draft assembly provides a complete
and comprehensive reference for further exploration of the fascinating biology of the
Venus flytrap.
Chronobiological studies of individual activity rhythms in social insects can be constrained by the artificial isolation of individuals from their social context. We present a new experimental set-up that simultaneously measures the temperature rhythm in a queen-less but brood raising mini colony and the walking activity rhythms of singly kept honey bees that have indirect social contact with it. Our approach enables monitoring of individual bees in the social context of a mini colony under controlled laboratory conditions. In a pilot experiment, we show that social contact with the mini colony improves the survival of monitored young individuals and affects locomotor activity patterns of young and old bees. When exposed to conflicting Zeitgebers consisting of a light-dark (LD) cycle that is phase-delayed with respect to the mini colony rhythm, rhythms of young and old bees are socially synchronized with the mini colony rhythm, whereas isolated bees synchronize to the LD cycle. We conclude that the social environment is a stronger Zeitgeber than the LD cycle and that our new experimental set-up is well suited for studying the mechanisms of social entrainment in honey bees.
Attraction to ethanol is common in both flies and humans, but the neuromodulatory mechanisms underlying this innate attraction are not well understood. Here, we dissect the function of the key regulator of serotonin signaling—the serotonin transporter–in innate olfactory attraction to ethanol in Drosophila melanogaster. We generated a mutated version of the serotonin transporter that prolongs serotonin signaling in the synaptic cleft and is targeted via the Gal4 system to different sets of serotonergic neurons. We identified four serotonergic neurons that inhibit the olfactory attraction to ethanol and two additional neurons that counteract this inhibition by strengthening olfactory information. Our results reveal that compensation can occur on the circuit level and that serotonin has a bidirectional function in modulating the innate attraction to ethanol. Given the evolutionarily conserved nature of the serotonin transporter and serotonin, the bidirectional serotonergic mechanisms delineate a basic principle for how random behavior is switched into targeted approach behavior.
Background
Enteric glial cells (EGCs) are the main constituent of the enteric nervous system and share similarities with astrocytes from the central nervous system including their reactivity to an inflammatory microenvironment. Previous studies on EGC pathophysiology have specifically focused on mucosal glia activation and its contribution to mucosal inflammatory processes observed in the gut of inflammatory bowel disease (IBD) patients. In contrast knowledge is scarce on intestinal inflammation not locally restricted to the mucosa but systemically affecting the intestine and its effect on the overall EGC network.
Methods and Results
In this study, we analyzed the biological effects of a systemic LPS-induced hyperinflammatory insult on overall EGCs in a rat model in vivo, mimicking the clinical situation of systemic inflammation response syndrome (SIRS). Tissues from small and large intestine were removed 4 hours after systemic LPS-injection and analyzed on transcript and protein level. Laser capture microdissection was performed to study plexus-specific gene expression alterations. Upon systemic LPS-injection in vivo we observed a rapid and dramatic activation of Glial Fibrillary Acidic Protein (GFAP)-expressing glia on mRNA level, locally restricted to the myenteric plexus. To study the specific role of the GFAP subpopulation, we established flow cytometry-purified primary glial cell cultures from GFAP promotor-driven EGFP reporter mice. After LPS stimulation, we analyzed cytokine secretion and global gene expression profiles, which were finally implemented in a bioinformatic comparative transcriptome analysis. Enriched GFAP+ glial cells cultured as gliospheres secreted increased levels of prominent inflammatory cytokines upon LPS stimulation. Additionally, a shift in myenteric glial gene expression profile was induced that predominantly affected genes associated with immune response.
Conclusion and Significance
Our findings identify the myenteric GFAP-expressing glial subpopulation as particularly susceptible and responsive to acute systemic inflammation of the gut wall and complement knowledge on glial involvement in mucosal inflammation of the intestine.
Age‐dependent transcriptional and epigenomic responses to light exposure in the honey bee brain
(2016)
Light is a powerful environmental stimulus of special importance in social honey bees that undergo a behavioral transition from in-hive to outdoor foraging duties. Our previous work has shown that light exposure induces structural neuronal plasticity in the mushroom bodies (MBs), a brain center implicated in processing inputs from sensory modalities. Here, we extended these analyses to the molecular level to unravel light-induced transcriptomic and epigenomic changes in the honey bee brain. We have compared gene expression in brain compartments of 1- and 7-day-old light-exposed honey bees with age-matched dark-kept individuals. We have found a number of differentially expressed genes (DEGs), both novel and conserved, including several genes with reported roles in neuronal plasticity. Most of the DEGs show age-related changes in the amplitude of light-induced expression and are likely to be both developmentally and environmentally regulated. Some of the DEGs are either known to be methylated or are implicated in epigenetic processes suggesting that responses to light exposure are at least partly regulated at the epigenome level. Consistent with this idea light alters the DNA methylation pattern of bgm, one of the DEGs affected by light exposure, and the expression of microRNA miR-932. This confirms the usefulness of our approach to identify candidate genes for neuronal plasticity and provides evidence for the role of epigenetic processes in driving the molecular responses to visual stimulation.
Feeding and sleep are fundamental behaviours with significant interconnections and cross-modulations. The circadian system and peptidergic signals are important components of this modulation, but still little is known about the mechanisms and networks by which they interact to regulate feeding and sleep. We show that specific thermogenetic activation of peptidergic Allatostatin A (AstA)-expressing PLP neurons and enteroendocrine cells reduces feeding and promotes sleep in the fruit fly Drosophila. The effects of AstA cell activation are mediated by AstA peptides with receptors homolog to galanin receptors subserving similar and apparently conserved functions in vertebrates. We further identify the PLP neurons as a downstream target of the neuropeptide pigment-dispersing factor (PDF), an output factor of the circadian clock. PLP neurons are contacted by PDF-expressing clock neurons, and express a functional PDF receptor demonstrated by cAMP imaging. Silencing of AstA signalling and continuous input to AstA cells by tethered PDF changes the sleep/activity ratio in opposite directions but does not affect rhythmicity. Taken together, our results suggest that pleiotropic AstA signalling by a distinct neuronal and enteroendocrine AstA cell subset adapts the fly to a digestive energy-saving state which can be modulated by PDF.
Die postovulatorische Alterung sowie die ovarielle Alterung konnten bei der Anwendung assistierter Reproduktionstechniken (ARTs) als entscheidende Faktoren identifiziert werden, die den Reproduktionserfolg nachhaltig beeinträchtigen. Die postovulatorische Alterung tritt ein, sobald die reife Eizelle nicht mehr innerhalb ihres physiologischen Zeitfensters befruchtet wird. Die ovarielle Alterung beschreibt hingegen die Abnahme des Follikel-Vorrats mit zunehmendem Alter des weiblichen Individuums bzw. des Ovars. Sowohl die postovulatorische Alterung als auch die ovarielle Alterung führen u.a. zu einer reduzierten Oozytenqualität und einer geringeren Blastozystenrate. Die Zielsetzung dieser Arbeit bestand darin, den Einfluss der postovulatorischen Alterung und der ovariellen Alterung im Holstein-Rind (Bos taurus) auf die DNA-Methylierung entwicklungsrelevanter Gene in Eizellen und Embryonen zu untersuchen. Aus Schlachthof-Ovarien wurden Antralfollikeln unterschiedlicher Größe (<2 mm, 3-5 mm und >6 mm) isoliert. Eizellen aus Follikeln der Größe 3-5 mm wurden für 24h (physiologisch) und 48h (gealtert) in vitro gereift (IVM). Die gereiften Oozyten wurden anschließend in vitro fertilisiert und Embryonen im 4-6 Zellstadium generiert. Sowohl in den unreifen Eizellen aus Antralfollikeln unterschiedlicher Größe als auch in den gereiften Oozyten und den Embryonen wurde die Promotormethylierung der Gene bH19, bSNRPN, bZAR1, bDNMT3A, bOCT4, bDNMT3Lo und bDNMT3Ls analysiert. Zur Untersuchung der ovariellen Alterung wurden mittelgroßen Antralfollikel aus Ovarien lebender Rinder (in vivo) unterschiedlichen Alters (9-12 Monate, 3-7 Jahre und 8-11 Jahre) gewonnen. In den daraus isolierten unreifen Eizellen wurde die DNA-Methylierung der Promotorregionen der Gene bTERF2, bREC8, bBCL-XL, bPISD, bBUB1, bDNMT3Lo, bH19 und bSNRPN bestimmt. Als Methode zur Analyse der Promotormethylierung wurde die Limiting Dilution Bisulfit-Sequenzierung angewendet.
In unreifen Eizellen aus Antralfollikeln unterschiedlicher Größe (<2 mm, 3-5 mm und >6 mm) konnte ein erhöhtes Auftreten abnormal methylierter Allele in den geprägten Genen bH19 und bSNRPN von Eizellen kleiner Follikel (<2 mm) identifiziert werden. Dieses Ergebnis könnte eine mögliche Ursache einer bereits bekannten und mehrfach beschriebenen geringeren Entwicklungskompetenz von Eizellen kleiner Follikel (<2 mm) auf epigenetischer Ebene darstellen.
Die verlängerte Reifungsdauer der IVM-Eizellen hatte eine signifikante Hypermethylierung in der Promotorregion des Gens DNMT3Lo von 48h-gereiften Eizellen zur Folge. Beim Übergang von 48h-gereiften Eizellen zum Embryo konnte eine signifikante Hypomethylierung von CpG7 des stammzellspezifischen Transkripts DNMT3Ls beobachtet werden. Diese CpG-Stelle wies ebenfalls einen signifikanten Anstieg von CpGs mit nicht-eindeutigem Methylierungszustand in unreifen Eizellen mit steigender Follikelgröße auf. Da sich die CpG-Position innerhalb eines Sequenz-Motivs einer Bindungsstelle des Transkriptionsfaktors CREB befindet, könnten die Methylierungsdaten auf eine Interaktion zwischen dem Transkriptionsfaktor CREB und der DNA-Methylierung während der Entwicklung und Reifung der Eizelle sowie der Transition von der Eizelle zum Embryo hindeuten.
Die DNA-Methylierungsprofile der untersuchten Gene in unreifen Eizellen aus Kühen unterschiedlichen Alters (9-12 Monate, 3-7 Jahre und 8-11 Jahre) wiesen keine signifikanten Unterschiede zwischen den Altersgruppen auf. Die ovarielle Alterung bei Rindern zwischen 9 Monaten und 11 Jahren zeigte damit keinen Effekt auf die DNA-Methylierung der untersuchten Promotorregionen der Gene bTERF2, bREC8, bBCL-XL, bPISD, bBUB1, bDNMT3Lo, bH19 und bSNRPN.
Nach einer simulierten postovulatorischen Alterung durch eine in vitro Reifung für 48h konnte eine Veränderung der DNA-Methylierung der Oozyten-spezifischen (DNMT3Lo) und Stammzell-spezifischen (DNMT3Ls) Promotoren des katalytisch inaktiven Cofaktors von DNMT3A, DNMT3L, beobachtet werden. Die veränderte DNA-Methylierung von DNMT3Ls tritt dabei erst im frühen Embryo in Erscheinung und interagiert vermutlich mit dem Transkriptionsfaktor CREB. Die Veränderungen von DNMT3Lo in Eizellen und DNMT3Ls in den daraus generierten Embryonen lässt vermuten, dass es sich hierbei um eine dynamische Anpassung des Embryos auf äußere Umweltbedingungen der Eizelle über die Methylierung der DNA handelt.
Sequence Logos and its variants are the most commonly used method for visualization of multiple sequence alignments (MSAs) and sequence motifs. They provide consensus-based summaries of the sequences in the alignment. Consequently, individual sequences cannot be identified in the visualization and covariant sites are not easily discernible. We recently proposed Sequence Bundles, a motif visualization technique that maintains a one-to-one relationship between sequences and their graphical representation and visualizes covariant sites. We here present Alvis, an open-source platform for the joint explorative analysis of MSAs and phylogenetic trees, employing Sequence Bundles as its main visualization method. Alvis combines the power of the visualization method with an interactive toolkit allowing detection of covariant sites, annotation of trees with synapomorphies and homoplasies, and motif detection. It also offers numerical analysis functionality, such as dimension reduction and classification. Alvis is user-friendly, highly customizable and can export results in publication-quality figures. It is available as a full-featured standalone version (http://www.bitbucket.org/rfs/alvis) and its Sequence Bundles visualization module is further available as a web application (http://science-practice.com/projects/sequence-bundles).
Background
Fermented wheat germ extract (FWGE) sold under the trade name Avemar exhibits anticancer activity in vitro and in vivo. Its mechanisms of action are divided into antiproliferative and antimetabolic effects. Its influcence on cancer cell metabolism needs further investigation. One objective of this study, therefore, was to further elucidate the antimetabolic action of FWGE. The anticancer compound 2,6-dimethoxy-1,4-benzoquinone (DMBQ) is the major bioactive compound in FWGE and is probably responsible for its anticancer activity. The second objective of this study was to compare the antiproliferative properties in vitro of FWGE and the DMBQ compound.
Methods
The IC\(_{50}\) values of FWGE were determined for nine human cancer cell lines after 24 h of culture. The DMBQ compound was used at a concentration of 24 μmol/l, which is equal to the molar concentration of DMBQ in FWGE. Cell viability, cell cycle, cellular redox state, glucose consumption, lactic acid production, cellular ATP levels, and the NADH/NAD\(^+\) ratio were measured.
Results
The mean IC\(_{50}\) value of FWGE for the nine human cancer cell lines tested was 10 mg/ml. Both FWGE (10 mg/ml) and the DMBQ compound (24 μmol/l) induced massive cell damage within 24 h after starting treatment, with changes in the cellular redox state secondary to formation of intracellular reactive oxygen species. Unlike the DMBQ compound, which was only cytotoxic, FWGE exhibited cytostatic and growth delay effects in addition to cytotoxicity. Both cytostatic and growth delay effects were linked to impaired glucose utilization which influenced the cell cycle, cellular ATP levels, and the NADH/NAD\(^+\) ratio. The growth delay effect in response to FWGE treatment led to induction of autophagy.
Conclusions
FWGE and the DMBQ compound both induced oxidative stress-promoted cytotoxicity. In addition, FWGE exhibited cytostatic and growth delay effects associated with impaired glucose utilization which led to autophagy, a possible previously unknown mechanism behind the influence of FWGE on cancer cell metabolism.
Natural genetic variation makes it possible to discover evolutionary changes that have been maintained in a population because they are advantageous. To understand genotype–phenotype relationships and to investigate trait architecture, the existence of both high-resolution genotypic and phenotypic data is necessary. Arabidopsis thaliana is a prime model for these purposes. This herb naturally occurs across much of the Eurasian continent and North America. Thus, it is exposed to a wide range of environmental factors and has been subject to natural selection under distinct conditions. Full genome sequencing data for more than 1000 different natural inbred lines are available, and this has encouraged the distributed generation of many types of phenotypic data. To leverage these data for meta analyses, AraPheno (https://arapheno.1001genomes.org) provide a central repository of population-scale phenotypes for A. thaliana inbred lines. AraPheno includes various features to easily access, download and visualize the phenotypic data. This will facilitate a comparative analysis of the many different types of phenotypic data, which is the base to further enhance our understanding of the genotype–phenotype map.