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Dive into the research topics where Timo Saumweber is active.

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Featured researches published by Timo Saumweber.


Nature | 2017

The complete connectome of a learning and memory centre in an insect brain

Katharina Eichler; Feng Li; Ashok Litwin-Kumar; Youngser Park; Ingrid Andrade; Casey M Schneider-Mizell; Timo Saumweber; Annina Huser; Claire Eschbach; Bertram Gerber; Richard D. Fetter; James W. Truman; Carey E. Priebe; L. F. Abbott; Andreas S. Thum; Marta Zlatic; Albert Cardona

Associating stimuli with positive or negative reinforcement is essential for survival, but a complete wiring diagram of a higher-order circuit supporting associative memory has not been previously available. Here we reconstruct one such circuit at synaptic resolution, the Drosophila larval mushroom body. We find that most Kenyon cells integrate random combinations of inputs but that a subset receives stereotyped inputs from single projection neurons. This organization maximizes performance of a model output neuron on a stimulus discrimination task. We also report a novel canonical circuit in each mushroom body compartment with previously unidentified connections: reciprocal Kenyon cell to modulatory neuron connections, modulatory neuron to output neuron connections, and a surprisingly high number of recurrent connections between Kenyon cells. Stereotyped connections found between output neurons could enhance the selection of learned behaviours. The complete circuit map of the mushroom body should guide future functional studies of this learning and memory centre.


Chemical Senses | 2008

Salt Processing in Larval Drosophila: Choice, Feeding, and Learning Shift from Appetitive to Aversive in a Concentration-Dependent Way

Thomas Niewalda; Nidhi Singhal; André Fiala; Timo Saumweber; Stephanie Wegener; Bertram Gerber

Sodium and chloride need to be ingested and cannot be stored. Therefore, choice of habitat and diet as related to NaCl needs to be tightly regulated. We thus expect that the behavioral effects of salt are organized according to its concentration. Here, we comparatively “fingerprint” the reflex releasing (in choice and feeding experiments) versus the reinforcing effects of sodium chloride (“salt”) in terms of their concentration dependencies, using larval Drosophila. Qualitatively, we find that the behavioral effects of salt in all 3 assays are similar: choice, feeding, and reinforcing effect all change from appetitive to aversive as concentration is increased. Quantitatively, however, the appetitive effects for choice and feeding share their optimum at around 0.02 M, whereas the dose–response curve for the reinforcing effect is shifted by more than one order of magnitude toward higher concentrations. Interestingly, a similar shift between these 2 kinds of behavioral effect is also found for sugars (Schipanski et al. 2008). Thus, for salt and for sugar, the sensory-to-motor system is more sensitive regarding immediate, reflexive behavior than regarding reinforcement. We speculate that this may partially be due to a dissociation of the sensory pathways signaling toward either reflexive behavior or internal reinforcement.


Chemical Senses | 2011

Innate attractiveness and associative learnability of odors can be dissociated in larval Drosophila.

Timo Saumweber; Jana Husse; Bertram Gerber

We investigate olfactory associative learning in larval Drosophila. A reciprocal training design is used, such that one group of animals receives a reward in the presence of odor X but not in the presence of odor Y (Train: X+ // Y), whereas another group is trained reciprocally (Train: X // Y+). After training, differences in odor preference between these reciprocally trained groups in a choice test (Test: X -- Y) reflect associative learning. The current study, after showing which odor pairs can be used for such learning experiments, 1) introduces a one-odor version of such reciprocal paradigm that allows estimating the learnability of single odors. Regarding this reciprocal one-odor paradigm, we show that 2) paired presentations of an odor with a reward increase odor preference above baseline, whereas unpaired presentations of odor and reward decrease odor preference below baseline; this suggests that odors can become predictive either of reward or of reward absence. Furthermore, we show that 3) innate attractiveness and associative learnability can be dissociated. These data deepen our understanding of odor-reward learning in larval Drosophila on the behavioral level, and thus foster its neurogenetic analysis.


Journal of Neurogenetics | 2009

Genetic Distortion of the Balance between Punishment and Relief Learning in Drosophila

Ayse Yarali; Markus Krischke; Birgit Michels; Timo Saumweber; Martin J. Mueller; Bertram Gerber

Abstract: An experience with electric shock can support two opposing kinds of behavioral effects: Stimuli that precede shock during training are subsequently avoided as predictors for punishment, whereas stimuli that follow shock during training are later on approached, as they predict relief. We show here, for the fruit fly Drosophila, that upon the loss of white-function, the balance between these two kinds of learning is distorted in favor of punishment learning: white1118 mutants show stronger punishment learning and weaker relief learning, as compared to wild type flies. Thus, white1118 mutants establish, overall, more “negative” memories for the shock experience. This only concerns the mnemonic effects of the shock; the immediate, reflexive responsiveness to shock remains unaltered. Also, learning about reward is apparently unaffected, both in adult and larval Drosophila. Prompted by the proposed function of the White protein as the transporter for biogenic amine precursors, we probed the brains of white1118 mutants for the amounts of biogenic amines (octopamine, tyramine, dopamine, and serotonin) by using high-perssure liquid chromatography coupled to mass spectrometry. Using this method, we found, however, no difference between white1118 and wild type files for any of the probed amines. In any event, analyses of how the white1118 mutation affects the balance between punishment and relief learning should provide a study case of how heritable distortions of such balance can come about. Finally, the effects of the white1118 mutation should be considered as a source of confound when using white as the “marker gene” in behavior-genetic analyses of any sort.


The Journal of Neuroscience | 2011

Behavioral and Synaptic Plasticity Are Impaired upon Lack of the Synaptic Protein SAP47

Timo Saumweber; Annika Weyhersmüller; Stefan Hallermann; Sören Diegelmann; Birgit Michels; Daniel Bucher; Natalja Funk; Dietmar Reisch; Georg Krohne; Stephanie Wegener; Erich Buchner; Bertram Gerber

The synapse-associated protein of 47 kDa (SAP47) is a member of a phylogenetically conserved gene family of hitherto unknown function. In Drosophila, SAP47 is encoded by a single gene (Sap47) and is expressed throughout all synaptic regions of the wild-type larval brain; specifically, electron microscopy reveals anti-SAP47 immunogold labeling within 30 nm of presynaptic vesicles. To analyze SAP47 function, we used the viable and fertile deletion mutant Sap47156, which suffers from a 1.7 kb deletion in the regulatory region and the first exon. SAP47 cannot be detected by either immunoblotting or immunohistochemistry in Sap47156 mutants. These mutants exhibit normal sensory detection of odorants and tastants as well as normal motor performance and basic neurotransmission at the neuromuscular junction. However, short-term plasticity at this synapse is distorted. Interestingly, Sap47156 mutant larvae also show a 50% reduction in odorant–tastant associative learning ability; a similar associative impairment is observed in a second deletion allele (Sap47201) and upon reduction of SAP47 levels using RNA interference. In turn, transgenically restoring SAP47 in Sap47156 mutant larvae rescues the defect in associative function. This report thus is the first to suggest a function for SAP47. It specifically argues that SAP47 is required for proper behavioral and synaptic plasticity in flies—and prompts the question whether its homologs are required for proper behavioral and synaptic plasticity in other species as well.


Handbook of Behavioral Neuroscience | 2013

Chapter 5 – ‘Decision Making’ in Larval Drosophila

Michael Schleyer; Sören Diegelmann; Birgit Michels; Timo Saumweber; Bertram Gerber

The brain is the organ of behavior organization. It structures the solution to the problem of what to do. This is complicated because usually we cannot be certain which behavior would be relatively the best. These processes, taking place between the moment when an uncertainty between behavioral options is recognized and the actual expression of behavior, we regard as ‘taking a decision.’ Such decision making needs to integrate (1) sensory input, (2) the current status reflecting evolutionary and individual history, (3) the available behavioral options, and (4) their expected outcomes. We focus on the decision to behaviorally express an associative memory trace—or not. After sketching the architecture of the chemobehavioral system in larval Drosophila, we present a working hypothesis of odor–taste associative memory trace formation and then discuss whether outcome expectations contribute to the organization of conditioned behavior. We argue that indeed conditioned olfactory behavior is organized according to its expected outcome, namely toward finding reward or escaping punishment, respectively. Conditioned olfactory behaviors are thus not responsive in nature but, rather, are actions expressed for the sake of the sought-for reward and the attempted relief. In addition to the organization of such outcome expectations, we discuss parametric features (‘axes’) of behavioral tasks that we believe bear upon the decision character of the underlying process and discuss whether these features can be found, or may reasonably be sought for, in larval Drosophila. It is argued that rather than trying to draw a line between behavioral processes that reflect decisions and those that are not, it is more useful to ask how strong the decision character of a given behavioral faculty is?


Learning & Memory | 2016

Synapsin is required to “boost” memory strength for highly salient events

Jörg Kleber; Yi-chun Chen; Birgit Michels; Timo Saumweber; Michael Schleyer; Thilo Kähne; Erich Buchner; Bertram Gerber

Synapsin is an evolutionarily conserved presynaptic phosphoprotein. It is encoded by only one gene in the Drosophila genome and is expressed throughout the nervous system. It regulates the balance between reserve and releasable vesicles, is required to maintain transmission upon heavy demand, and is essential for proper memory function at the behavioral level. Task-relevant sensorimotor functions, however, remain intact in the absence of Synapsin. Using an odor-sugar reward associative learning paradigm in larval Drosophila, we show that memory scores in mutants lacking Synapsin (syn(97)) are lower than in wild-type animals only when more salient, higher concentrations of odor or of the sugar reward are used. Furthermore, we show that Synapsin is selectively required for larval short-term memory. Thus, without Synapsin Drosophila larvae can learn and remember, but Synapsin is required to form memories that match in strength to event salience-in particular to a high saliency of odors, of rewards, or the salient recency of an event. We further show that the residual memory scores upon a lack of Synapsin are not further decreased by an additional lack of the Sap47 protein. In combination with mass spectrometry data showing an up-regulated phosphorylation of Synapsin in the larval nervous system upon a lack of Sap47, this is suggestive of a functional interdependence of Synapsin and Sap47.


The Journal of Experimental Biology | 2017

The Ol1mpiad: concordance of behavioural faculties of stage 1 and stage 3 Drosophila larvae.

Maria J. Almeida-Carvalho; Dimitri Berh; Andreas Braun; Yi-chun Chen; Katharina Eichler; Claire Eschbach; Pauline Mj Fritsch; Bertram Gerber; Nina Hoyer; Xiaoyi Jiang; Jörg Kleber; Christian Klämbt; Christian König; Matthieu Louis; Birgit Michels; Anton Miroschnikow; Christen K. Mirth; Daisuke Miura; Thomas Niewalda; Nils Otto; Emmanouil Paisios; Michael J. Pankratz; Meike Petersen; Noel Ramsperger; Nadine Randel; Benjamin Risse; Timo Saumweber; Philipp Schlegel; Michael Schleyer; Peter Soba

ABSTRACT Mapping brain function to brain structure is a fundamental task for neuroscience. For such an endeavour, the Drosophila larva is simple enough to be tractable, yet complex enough to be interesting. It features about 10,000 neurons and is capable of various taxes, kineses and Pavlovian conditioning. All its neurons are currently being mapped into a light-microscopical atlas, and Gal4 strains are being generated to experimentally access neurons one at a time. In addition, an electron microscopic reconstruction of its nervous system seems within reach. Notably, this electron microscope-based connectome is being drafted for a stage 1 larva – because stage 1 larvae are much smaller than stage 3 larvae. However, most behaviour analyses have been performed for stage 3 larvae because their larger size makes them easier to handle and observe. It is therefore warranted to either redo the electron microscopic reconstruction for a stage 3 larva or to survey the behavioural faculties of stage 1 larvae. We provide the latter. In a community-based approach we called the Ol1mpiad, we probed stage 1 Drosophila larvae for free locomotion, feeding, responsiveness to substrate vibration, gentle and nociceptive touch, burrowing, olfactory preference and thermotaxis, light avoidance, gustatory choice of various tastants plus odour–taste associative learning, as well as light/dark–electric shock associative learning. Quantitatively, stage 1 larvae show lower scores in most tasks, arguably because of their smaller size and lower speed. Qualitatively, however, stage 1 larvae perform strikingly similar to stage 3 larvae in almost all cases. These results bolster confidence in mapping brain structure and behaviour across developmental stages. Summary: A community-based survey of the behavioural faculties of stage 1 Drosophila larvae, providing a resource for relating these behavioural faculties to the upcoming connectome of their nervous system.


Frontiers in Behavioral Neuroscience | 2017

Pavlovian conditioning of larval drosophila: an illustrated, multilingual, hands-on manual for odor-taste associative learning in maggots

Birgit Michels; Timo Saumweber; Roland Biernacki; Jeanette Thum; Rupert D. V. Glasgow; Michael Schleyer; Yi-chun Chen; Claire Eschbach; Reinhard F. Stocker; Naoko Toshima; Teiichi Tanimura; Matthieu Louis; Gonzalo Arias-Gil; Manuela Marescotti; Fabio Benfenati; Bertram Gerber

Larval Drosophila offer a study case for behavioral neurogenetics that is simple enough to be experimentally tractable, yet complex enough to be worth the effort. We provide a detailed, hands-on manual for Pavlovian odor-reward learning in these animals. Given the versatility of Drosophila for genetic analyses, combined with the evolutionarily shared genetic heritage with humans, the paradigm has utility not only in behavioral neurogenetics and experimental psychology, but for translational biomedicine as well. Together with the upcoming total synaptic connectome of the Drosophila nervous system and the possibilities of single-cell-specific transgene expression, it offers enticing opportunities for research. Indeed, the paradigm has already been adopted by a number of labs and is robust enough to be used for teaching in classroom settings. This has given rise to a demand for a detailed, hands-on manual directed at newcomers and/or at laboratory novices, and this is what we here provide. The paradigm and the present manual have a unique set of features: The paradigm is cheap, easy, and robust; The manual is detailed enough for newcomers or laboratory novices; It briefly covers the essential scientific context; It includes sheets for scoring, data analysis, and display; It is multilingual: in addition to an English version we provide German, French, Japanese, Spanish and Italian language versions as well. The present manual can thus foster science education at an earlier age and enable research by a broader community than has been the case to date.


Nature Communications | 2018

Functional architecture of reward learning in mushroom body extrinsic neurons of larval Drosophila

Timo Saumweber; Astrid Rohwedder; Michael Schleyer; Katharina Eichler; Yi-chun Chen; Yoshinori Aso; Albert Cardona; Claire Eschbach; Oliver Kobler; Anne Voigt; Archana Durairaja; Nino Mancini; Marta Zlatic; James W. Truman; Andreas S. Thum; Bertram Gerber

The brain adaptively integrates present sensory input, past experience, and options for future action. The insect mushroom body exemplifies how a central brain structure brings about such integration. Here we use a combination of systematic single-cell labeling, connectomics, transgenic silencing, and activation experiments to study the mushroom body at single-cell resolution, focusing on the behavioral architecture of its input and output neurons (MBINs and MBONs), and of the mushroom body intrinsic APL neuron. Our results reveal the identity and morphology of almost all of these 44 neurons in stage 3 Drosophila larvae. Upon an initial screen, functional analyses focusing on the mushroom body medial lobe uncover sparse and specific functions of its dopaminergic MBINs, its MBONs, and of the GABAergic APL neuron across three behavioral tasks, namely odor preference, taste preference, and associative learning between odor and taste. Our results thus provide a cellular-resolution study case of how brains organize behavior.The mushroom body of Drosophila integrates sensory information with past experience to guide behaviour. Here, the authors provide an atlas of the input and output neurons of the stage 3 larval mushroom body at the single-cell level, and analyse their function in learned and innate behaviours.

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Bertram Gerber

Otto-von-Guericke University Magdeburg

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Michael Schleyer

Leibniz Institute for Neurobiology

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Yi-chun Chen

Leibniz Institute for Neurobiology

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Claire Eschbach

Howard Hughes Medical Institute

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Emmanouil Paisios

Leibniz Institute for Neurobiology

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Jörg Kleber

Leibniz Institute for Neurobiology

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