570 Biowissenschaften; Biologie
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- Biowissenschaften (1649)
- Biochemie und Chemie (806)
- Medizin (488)
- Biochemie, Chemie und Pharmazie (416)
- Institut für Ökologie, Evolution und Diversität (187)
- Senckenbergische Naturforschende Gesellschaft (170)
- MPI für Biophysik (148)
- Biodiversität und Klima Forschungszentrum (BiK-F) (135)
- Physik (131)
- Exzellenzcluster Makromolekulare Komplexe (121)
Schülerlabor Künstliche Intelligenz – Verhaltensforschung im Biologieunterricht mit neuen Methoden
(2023)
Die Verhaltensbiologie ist ein wichtiger Inhalt im Biologieunterricht. Das zielgerichtete, forschende Beobachten bereitet den Schüler/-innen jedoch häufg Schwierigkeiten und sollte vor allem praktisch eingeübt werden. Das Schülerlabor KILab bietet dafür eine innovative Möglichkeit.
Manipulation of neuronal or muscular activity by optogenetics or other stimuli can be directly linked to the analysis of Caenorhabditis elegans (C. elegans) body length. Thus, WormRuler was developed as an open-source video analysis toolbox that offers video processing and data analysis in one application. Utilizing this novel tool, the super red-shifted channelrhodopsin variant, ChrimsonSA, was characterized in C. elegans. Expression and activation of ChrimsonSA in GABAergic motor neurons results in their depolarization and therefore elongation of body length, the extent of which providing information about the strength of neuronal transmission.
Cone photoreceptor cells are wavelength-sensitive neurons in the retinas of vertebrate eyes and are responsible for color vision. The spatial distribution of these nerve cells is commonly referred to as the cone photoreceptor mosaic. By applying the principle of maximum entropy, we demonstrate the universality of retinal cone mosaics in vertebrate eyes by examining various species, namely, rodent, dog, monkey, human, fish, and bird. We introduce a parameter called retinal temperature, which is conserved across the retinas of vertebrates. The virial equation of state for two-dimensional cellular networks, known as Lemaître’s law, is also obtained as a special case of our formalism. We investigate the behavior of several artificially generated networks and the natural one of the retina concerning this universal, topological law.
Terpene bilden mit mehr als 81.000 Verbindungen die größte Klasse der Naturstoffe. Nichtsdestotrotz wird ihre strukturelle Vielfalt durch die Isoprenregel begrenzt. Diese besagt, dass alle primären Terpensynthaseprodukte aus Bausteinen mit fünf Kohlenstoffatomen hervorgehen. Ihre Produkte sind somit kanonisch, da sie durch ein Vielfaches von fünf Kohlenstoffatomen dargestellt sind. In dieser kumulativen Arbeit wird die mikrobielle Produktion einer Vielzahl neuartiger nicht-kanonischer Terpene beschrieben und somit der chemische Strukturraum von Terpenoiden über die Grenzen der Isoprenregel hinaus erweitert. Um dies zu erreichen, wurden in verschiedenen Ansätzen die Gene des Mevalonatwege, einschließlich einer IPP-Isomerase gemeinsam mit verschiedenen Prenylpyrosphosphat-Methyltransferasen und Terpensynthasen in E. coli exprimiert und die Produktspektren der Biosynthesewege detailliert untersucht.
Ein breites Spektrum neuer C11-Terpene wurde als Nebenprodukt der bakteriellen 2-Methylisoborneol- oder 2-Methylenbornansynthasen entdeckt. Neben elf bekannten konnten 24 neuartige C11-Terpene nachgewiesen werden, die bisher noch nicht als Terpensynthase-Produkte beschrieben wurden. Vier davon, 3,4-Dimethylcumol, 2-Methylborneol und die beiden Diastereomere von 2-Methylcitronellol, konnten identifiziert werden. Außerdem wurde das C16-Terpen 6-Methylfarnesol als Produkt identifiziert.
Die Produktselektivität einer C11-Terpensynthasen, die 2 Methylenbornansynthase aus Pseudomonas fluorescens, wurde durch einen semirationalen Protein-Engineering-Ansatz verändert. Aminosäuren des aktiven Zentrums mit Einfluss auf die Produktselektivität wurden identifiziert. Entsprechende Varianten des Enzyms führen zu gänzlich veränderten Produktspektren. So wurden neue Einblicke in die Struktur-Funktions-Beziehung für C11-Terpensynthasen gewonnen und bisher unzugängliche nicht-kanonische Terpene produziert.
Eine IPP-Methyltranferase wurde identifiziert und charakterisiert, die den C5-Baustein der Terpenbiosynthese in eine Vielzahl von C6- und C7-Prenylpyrophosphate umwandelt. Die heterologe Expression in E. coli gemeinsam mit anderen Genen der Terpenbiosynthese erweitert das potenzielle Terpensynthase-Substratspektrum außerdem um C11-, C12-, C16- und C17 Prenylpyrosphopshate. Darüber hinaus konnten polymethylierte C41-, C42-und C43-Carotinoide synthetisiert werden. So wurde die Terpenbiosynthese durch die Modifikation ihrer Bausteine erweitert und neue ungewöhnliche Terpene produziert.
Biological drug substance (DS) is typically stored frozen to increase stability. However, freezing and thawing (F/T) of DS can impact product quality and therefore F/T processes need to be controlled. Because active F/T systems for DS bottles are lacking, freezing is often performed uncontrolled in conventional freezers, and thawing at ambient temperature or using water baths.
In this study, we evaluated a novel device for F/T of DS in bottles, which can be operated in conventional freezers, generating a directed air stream around bottles. We characterized the F/T geometry and process performance in comparison to passive F/T using temperature mapping and analysis of concentration gradients. The device was able to better control the F/T process by inducing directional bottom-up F/T. As a result, it reduced cryo-concentration during freezing as well as ice mound formation. However, freezing with the device was dependent on freezer performance, i.e. prolonged process times in a highly loaded freezer were accompanied by increased cryo-concentrations. Thawing was faster compared to without the device, but had no impact on concentration gradients and was slower compared to thawing in a water bath.
High-performance freezers might be required to fully exploit the potential of directional freezing with this device and allow F/T process harmonization and scaling across sites.
Highlights
• Northern and eastern grassland-savanna boundary defined by minimum temperature.
• Dynamics of fire, frost and growing season temperatures combine to produce this limit.
• Western limit is related to moisture availability.
• Modern, high-resolution climate data enables refinement of bioclimatic limits.
• Reparameterisation improves global model performance at regional scale.
Abstract
Understanding the controls of biome distributions is crucial for assessing terrestrial ecosystem functioning and its response to climate change. We analysed to what extent differences in climate factors (minimum temperatures, water availability, and growing season temperatures (degree days above 5 °C (GDD5)) might explain the poorly understood borders between grasslands, savannas and shrublands in eastern South Africa. The results were used to improve bioclimatic limits in the dynamic global vegetation model (DGVM) LPJ-GUESS. The vegetation model was also used to explore the role of fire in the biome borders. Results show no clear differences between the adjacent biomes in water availability. Treeless grasslands primarily occur in areas with minimum temperatures and GDD5 values below that of savannas. The standard fire module in LPJ-GUESS is not able to reproduce observed burned area patterns in the study region, but simulations with prescribed fire return intervals show that a combination of low temperatures and fire can explain the treeless state of the grassland biome. These results confirm earlier hypotheses that a combination of low winter temperatures, causing frost damage to trees, and low growing season temperatures that impede tree sapling growth and recruitment, particularly under re-occurring fires, drive the grassland-savanna border. With these insights implemented, the LPJ-GUESS simulation results substantially improved grass distribution in the grassland biome, but challenges remain concerning the grassland-shrubland boundary, tree-grass competition and prognostic fire modelling.
Magnetoencephalography (MEG) and Electroencephalography (EEG) provide direct electrophysiological measures at an excellent temporal resolution, but the spatial resolution of source-reconstructed current activity is limited to several millimetres. Here we show, using simulations of MEG signals and Bayesian model comparison, that non-invasive myelin estimates from high-resolution quantitative magnetic resonance imaging (MRI) can enhance MEG/EEG source reconstruction. Our approach assumes that MEG/EEG signals primarily arise from the synchronised activity of pyramidal cells, and since most of the myelin in the cortical sheet originates from these cells, myelin density can predict the strength of cortical sources measured by MEG/EEG. Leveraging recent advances in quantitative MRI, we exploit this structure-function relationship and scale the leadfields of the forward model according to the local myelin density estimates from in vivo quantitative MRI to inform MEG/EEG source reconstruction. Using Bayesian model comparison and dipole localisation errors (DLEs), we demonstrate that adapting local forward fields to reflect increased local myelination at the site of a simulated source explains the simulated data better than models without such leadfield scaling. Our model comparison framework proves sensitive to myelin changes in simulations with exact coregistration and moderate-to-high sensor-level signal-to-noise ratios (≥10 dB) for the multiple sparse priors (MSP) and empirical Bayesian beamformer (EBB) approaches. Furthermore, we sought to infer the microstructure giving rise to specific functional activation patterns by comparing the myelin-informed model which was used to generate the activation with a set of test forward models incorporating different myelination patterns. We found that the direction of myelin changes, however not their magnitude, can be inferred by Bayesian model comparison. Finally, we apply myelin-informed forward models to MEG data from a visuo-motor experiment. We demonstrate improved source reconstruction accuracy using myelin estimates from a quantitative longitudinal relaxation (R1) map and discuss the limitations of our approach.
Highlights
We use quantitative MRI to implement myelin-informed forward models for M/EEG
Local myelin density was modelled by adapting the local leadfields
Myelin-informed forward models can improve source reconstruction accuracy
We can infer the directionality of myelination patterns, but not their strength
We apply our approach to MEG data from a visuo-motor experiment
The success of the increasing use of technology in education is highly dependent on learner acceptance. Although the Technology Acceptance Model (TAM) is dominant in research for surveying acceptance of technology, it does not allow the prediction of a successful first time use of technology. The successful first time use can be determined with the survey of technology affinity, as it corresponds to the expression of certain personality traits of users and is thus detached from the specific technology. Since there are no measurement instruments for the educational sector so far and existing instruments for measuring technology affinity do not meet the specific requirements for use in the educational context (e.g., limited time for questioning), we present the single item Inclusion of Technology Affinity in Self-Scale (ITAS). In study 1 we provide evidence of convergent and discriminant validity within the general population so that a generalization of its applicability is possible. In study 2 we subsequently tested ITAS in the actual target group, the educational sector. The high correlations of the ITAS with the ATI and the control instrument TA-EG (ranging from rs = 0.679 to rs = 0.440) show that ITAS is suitable for use in research. Furthermore, the newly developed instrument convinces with its low complexity, the graphical component, which requires little text understanding and the high time saving. This research thus can contribute to the investigation of technology affinity in the educational sector helping educators to conduct technical activities with their learning group, to predict possible difficulties and adjust their planning accordingly.
During the co-translational assembly of protein complexes, a fully synthesized subunit engages with the nascent chain of a newly synthesized interaction partner. Such events are thought to contribute to productive assembly, but their exact physiological relevance remains underexplored. Here, we examine structural motifs contained in nucleoporins for their potential to facilitate co-translational assembly. We experimentally test candidate structural motifs and identify several previously unknown co-translational interactions. We demonstrate by selective ribosome profiling that domain invasion motifs of beta-propellers, coiled-coils, and short linear motifs may act as co-translational assembly domains. Such motifs are often contained in proteins that are members of multiple complexes (moonlighters) and engage with closely related paralogs. Surprisingly, moonlighters and paralogs assemble co-translationally in only some but not all of the relevant biogenesis pathways. Our results highlight the regulatory complexity of assembly pathways.
Protection against pathogens is a major function of the gut microbiota. Although bacterial natural products have emerged as crucial components of host-microbiota interactions, their exact role in microbiota-mediated protection is largely unexplored. We addressed this knowledge gap with the nematode Caenorhabditis elegans and its microbiota isolate Pseudomonas fluorescens MYb115 that is known to protect against Bacillus thuringiensis (Bt) infection. We find that MYb115-mediated protection depends on sphingolipids that are derived from an iterative type I polyketide synthase (PKS), thereby describing a noncanonical pathway of bacterial sphingolipid production. We provide evidence that MYb115-derived sphingolipids affect C. elegans tolerance to Bt infection by altering host sphingolipid metabolism. This work establishes sphingolipids as structural outputs of bacterial PKS and highlights the role of microbiota-derived sphingolipids in host protection against pathogens.
Phosphatidylinositol 3-kinase type 2α (PI3KC2α) is an essential member of the structurally unresolved class II PI3K family with crucial functions in lipid signaling, endocytosis, angiogenesis, viral replication, platelet formation and a role in mitosis. The molecular basis of these activities of PI3KC2α is poorly understood. Here, we report high-resolution crystal structures as well as a 4.4-Å cryogenic-electron microscopic (cryo-EM) structure of PI3KC2α in active and inactive conformations. We unravel a coincident mechanism of lipid-induced activation of PI3KC2α at membranes that involves large-scale repositioning of its Ras-binding and lipid-binding distal Phox-homology and C-C2 domains, and can serve as a model for the entire class II PI3K family. Moreover, we describe a PI3KC2α-specific helical bundle domain that underlies its scaffolding function at the mitotic spindle. Our results advance our understanding of PI3K biology and pave the way for the development of specific inhibitors of class II PI3K function with wide applications in biomedicine.
Microplastics are small plastic fragments that are widely distributed in marine and terrestrial environments. While the soil ecosystem represents a large reservoir for plastic, research so far has focused mainly on the impact on aquatic ecosystems and there is a lack of information on the potentially adverse effects of microplastics on soil biota. Earthworms are key organisms of the soil ecosystem and are due to their crucial role in soil quality and fertility a suitable and popular model organism in soil ecotoxicology.
Therefore, the aim of this study was to gain insight into the effects of environmentally relevant concentrations of microplastics on the earthworm Eisenia andrei on multiple levels of biological organization after different exposure periods. Earthworms were exposed to two types of microplastics: (1) polystyrene-HBCD and (2) car tire abrasion in natural soil for 2, 7, 14 and 28 d. Acute and chronic toxicity and all subcellular investigations were conducted for all exposure times, avoidance behavior assessed after 48 h and reproduction after 28 d. Subcellular endpoints included enzymatic biomarker responses, namely, carboxylesterase, glutathione peroxidase, acetylcholinesterase, glutathione reductase, glutathione S-transferase and catalase activities, as well as fluorescence-based measurements of oxidative stress-related markers and multixenobiotic resistance activity. Multiple biomarkers showed significant changes in activity, but a recovery of most enzymatic activities could be observed after 28 d. Overall, only minor effects could be observed on a subcellular level, showing that in this exposure scenario with environmentally relevant concentrations based on German pollution levels the threat to soil biota is minimal. However, in areas with higher concentrations of microplastics in the environment, these results can be interpreted as an early warning signal for more adverse effects. In conclusion, these findings provide new insights regarding the ecotoxicological effects of environmentally relevant concentrations of microplastics on soil organisms.
Holocarpic oomycetes infecting freshwater diatoms are obligate endobiotic parasites reported from a wide range of habitats. So far, the taxonomy of and phylogeny of most species remains unresolved, since most have not been reported throughout the past decades and sequence data are available for only the four species, Aphanomycopsis bacillariacearum, Diatomophthora gillii, Ectrogella bacillariacearum, and the recently-discovered species Miracula moenusica. In the current study, a new freshwater diatom parasite resembling Ectrogella bacillariacearum in the sense of Scherffel was discovered from pennate diatoms (Ulnaria acus, Ulnaria ulna) collected from the small stream Einbúalækur on Víkurskarð, North Iceland and investigated for its life cycle and phylogenetic placement. In contrast to the original description, Scherffel reports an achlya-like spore discharge for Ectrogella bacillariacearum. The phylogenetic reconstruction and morphological characterisation in this study revealed that Scherffel’s E. bacillariacearum is largely unrelated to the epitype of the species and is a member of the early-diverging genus Miracula. Consequently, the new species is described as M. einbuarlaekurica in the present study. This adds a second freshwater member to the genus, demonstrating the high ecological adaptability of the genus, which thrives in both freshwater and marine ecosystems.
Despite islands contributing only 6.7% of land surface area, they harbor ~20% of the Earth's biodiversity, but unfortunately also ~50% of the threatened species and 75% of the known extinctions since the European expansion around the globe. Due to their geological and geographic history and characteristics, islands act simultaneously as cradles of evolutionary diversity and museums of formerly widespread lineages—elements that permit islands to achieve an outstanding endemicity. Nevertheless, the majority of these endemic species are inherently vulnerable due to genetic and demographic factors linked with the way islands are colonized. Here, we stress the great variation of islands in their physical geography (area, isolation, altitude, latitude) and history (age, human colonization, human density). We provide examples of some of the most species rich and iconic insular radiations. Next, we analyze the natural vulnerability of the insular biota, linked to genetic and demographic factors as a result of founder events as well as the typically small population sizes of many island species. We note that, whereas evolution toward island syndromes (including size shifts, derived insular woodiness, altered dispersal ability, loss of defense traits, reduction in clutch size) might have improved the ability of species to thrive under natural conditions on islands, it has simultaneously made island biota disproportionately vulnerable to anthropogenic pressures such as habitat loss, overexploitation, invasive species, and climate change. This has led to the documented extinction of at least 800 insular species in the past 500 years, in addition to the many that had already gone extinct following the arrival of first human colonists on islands in prehistoric times. Finally, we summarize current scientific knowledge on the ongoing biodiversity loss on islands worldwide and express our serious concern that the current trajectory will continue to decimate the unique and irreplaceable natural heritage of the world's islands. We conclude that drastic actions are urgently needed to bend the curve of the alarming rates of island biodiversity loss.
Spatial genome organization is tightly controlled by several regulatory mechanisms and is essential for gene expression control. Nuclear receptors are ligand-activated transcription factors that modulate physiological and pathophysiological processes and are primary pharmacological targets. DNA binding of the important loop-forming insulator protein CCCTC-binding factor (CTCF) was modulated by 1α,25-dihydroxyvitamin D3 (1,25(OH)2D3). We performed CTCF HiChIP assays to produce the first genome-wide dataset of CTCF long-range interactions in 1,25(OH)2D3-treated cells, and to determine whether dynamic changes of spatial chromatin interactions are essential for fine-tuning of nuclear receptor signaling. We detected changes in 3D chromatin organization upon vitamin D receptor (VDR) activation at 3.1% of all observed CTCF interactions. VDR binding was enriched at both differential loop anchors and within differential loops. Differential loops were observed in several putative functional roles including TAD border formation, promoter-enhancer looping, and establishment of VDR-responsive insulated neighborhoods. Vitamin D target genes were enriched in differential loops and at their anchors. Secondary vitamin D effects related to dynamic chromatin domain changes were linked to location of downstream transcription factors in differential loops. CRISPR interference and loop anchor deletion experiments confirmed the functional relevance of nuclear receptor ligand-induced adjustments of the chromatin 3D structure for gene expression regulation.
Aim
How species respond to climate change is influenced by their sensitivity to climatic conditions (i.e. their climatic niche) and aspects of their adaptive capacity (e.g. their dispersal ability and ecological niche). To date, it is largely unknown whether and how species’ sensitivity to climate change and their adaptive capacity covary. However, understanding this relationship is important to predict the potential consequences of a changing climate for species assemblages. Here, we test how species’ sensitivity to climate change and trait-based measures of their ecological adaptive capacity (i) vary along a broad elevational gradient and (ii) covary across a large number of bird species.
Location
A Neotropical elevational gradient (300–3600 m.a.s.l.) in the Manú Biosphere Reserve, south-east Peru.
Methods
We focus on 215 frugivorous bird species along a Neotropical elevational gradient. We approximate species’ sensitivity to climate change by their climatic niche breadth, based on species occurrences across South America and bioclimatic variables. In addition, we use a trait-based approach to estimate the dispersal ability of species (approximated by their wing pointedness), their dietary niche breadth (approximated by bill width) and their habitat niche breadth (the number of used habitat classes).
Results
We found that (i) species’ climatic niche breadth increased with elevation, while their trait-based dispersal ability and dietary niche breadth decreased with elevation, and (ii) sensitivity to climate change and trait-based adaptive capacity were not related across species.
Main conclusions
These results suggest different mechanisms of how species in lowland and highland assemblages might respond to climate change. The independent variation of species’ sensitivity to climate change and their trait-based adaptive capacity suggests that accounting for both dimensions will improve assessments of species’ susceptibility to climate change and potential impacts of climate change on diverse species assemblages.
Exploration of macrofungi in the Jammu and Kashmir regions, India, led to the discovery of two novel species, described herein as Lactarius indohirtipes sp. nov. and L. sharmai sp. nov. This paper presents detailed morphological descriptions and illustrations, as well as a phylogenetic analysis based on nrITS sequences. A comparative analysis with related species is also included.
The evolution of cell-free protein synthesis (CFPS) over recent decades has made it a widely used system for expressing membrane proteins (MPs). Unlike traditional methods, CFPS allows direct and translocon-independent expression of MPs within lipid membranes, such as liposomes or nanodiscs (NDs), without the need for detergent solubilization. This open nature of CF systems enables customization of the experimental environment, including expression conditions, choice of nanoparticles (NPs), lipid composition, and addition of stabilizing molecules.
Membrane scaffold protein (MSP)-based NDs emerged as a gold standard for cotranslational solubilization of MPs using the CF-system. This approach allowed not only biochemical characterization, but also structural studies of MPs and even GPCRs. However, to solubilize MPs inside nanoparticles via the traditional reconstitution route, apart from MSPs other scaffolds were successfully implemented, e.g. the saposin A (commercially known as Salipro) scaffold system or the synthetic styrene maleic acid lipid particles (SMALPs). In this study the potential of saposin A-based nanoparticles (SapNPs) was explored for cotranslational MP solubilization.
Three strategies for applying SapNPs in CF systems were investigated: preassembly, (i) coassembly (ii), and coexpression (iii). (i) Preassembly involved forming SapNPs before CF expression and adding them to the CF reaction. In coassembly mode SapA and lipids were mixed in the CF reaction for spontaneous assembly with the synthesized MP. In coexpression mode lipids were added to the CF reaction while coexpressing SapA with the MP target. Proteorhodopsin (PR) served as a model protein to evaluate these strategies due to its ability to oligomerize and straightforward quantification using the cofactor retinal. Preassembled SapNPs provided homogeneous, aggregate-free particles yielding up to 200 µM solubilized PR inside in the CF reaction. Coassembly was also successfully applied to produce PR/SapNP complexes at slightly lower yields, however the system was prone to produce soluble aggregates at too high PR template concentrations and overall needed more adjustments. Coexpression resulted in PR yields below 20 µM and was not considered viable for MP production. Finally, the preassembled SapNPs were used to produce functional G-protein coupled receptor probes. Despite lower overall performance compared to MSP-based systems, SapNPs showed potential as an alternative in CF systems for specific MPs.
The second optimization approach was directed at the CF lysate itself. CF synthesis for NMR analysis benefits from selective labeling schemes enabled by truncated amino acid (AA) metabolic pathways in lysates, reducing spectral ambiguity. However, residual enzymatic AA conversions persist, leading to label dilution and ambiguous NMR spectra. This study aimed to eliminate these residual activities in the E. coli A19 strain, generating optimized CF lysates for NMR applications.
The approach involved cumulative gene deletions of the most problematic scrambling enzymes. The new strain, “Stablelabel,” included deletions and modifications in genes asnA, ansA, ansB, glnA, aspC, and ilvE, effectively eliminating background activities of L-Asn, L-Asp, and conversions of L-Glu to L-Asp and L-Gln. However, residual conversion of L-Gln to L-Glu persisted due to glutaminase activity of several glutaminases using the inhibitor 6 diazo-5-oxo-L-norleucine (DON). Stablelabel showed a slightly slower growth than A19, and an overall good performance with 2.7 mg/mL GFP expressed in the reaction mixture (RM) compared to the parental A19 strain with 3.5 mg/mL. Furthermore, the strain was successfully applied to demonstrate methyl group labeling of MPs using preconverted L-val and L-leu from their respective precursors 2-ketoisovalerate and 4-methyl-2-oxovalerate.
In this study, lipid nanoparticle particle-and strain engineering vividly demonstrated the potential of CFPS systems and their versatility. While the SapNP system requires further engineering to potentially reach the efficiency of the well-studied MSP NDs, this study provides an example of nanoparticle characterization allowing new insights into NP behavior in CF systems. Furthermore, it was shown that strain engineering is a straightforward solution to tailor CF lysates to the individual requirements. After this thesis was submitted, Stablelabel in fact was successfully applied for backbone assignment of casein kinase 1, thereby demonstrating its suitability to express complex targets for NMR studies.
Understanding how epigenetic variation in non-coding regions is involved in distal gene-expression regulation is an important problem. Regulatory regions can be associated to genes using large-scale datasets of epigenetic and expression data. However, for regions of complex epigenomic signals and enhancers that regulate many genes, it is difficult to understand these associations. We present StitchIt, an approach to dissect epigenetic variation in a gene-specific manner for the detection of regulatory elements (REMs) without relying on peak calls in individual samples. StitchIt segments epigenetic signal tracks over many samples to generate the location and the target genes of a REM simultaneously. We show that this approach leads to a more accurate and refined REM detection compared to standard methods even on heterogeneous datasets, which are challenging to model. Also, StitchIt REMs are highly enriched in experimentally determined chromatin interactions and expression quantitative trait loci. We validated several newly predicted REMs using CRISPR-Cas9 experiments, thereby demonstrating the reliability of StitchIt. StitchIt is able to dissect regulation in superenhancers and predicts thousands of putative REMs that go unnoticed using peak-based approaches suggesting that a large part of the regulome might be uncharted water.