Biology subjects

Wunderlich, Z.

Publications and source records attributed to Wunderlich, Z..

15 recordsLinked to original sources

bioRxiv2026

Genome architecture shapes the evolutionary origins of redundant enhancers in fly and mouse

Shadow enhancers are groups of DNA regulatory elements that control the same target gene and drive overlapping expression patterns. Large-scale surveys have found shadow enhancers control most developmental genes in animal genomes. The way in which shadow enhancers arise and how they subsequently evolve may further illuminate their regulatory logic and mechanisms of action. To investigate the evolutionary origins of shadow enhancers, we searched for sequence signatures of three birth mechanisms: duplication of existing enhancers, transposable element (TE) co-option, and TE-mediated splitting of ancestral regulatory elements in the Drosophila melanogaster and mouse genomes. Using 420 fly shadow enhancer sets and 9,051 mouse shadow enhancer sets, we found detectable duplication evidence in 18.3% of fly shadow enhancer sets and 33.9% of mouse sets. Duplication signatures were more frequent in larger shadow sets, suggesting that repeated duplication can expand regulatory landscapes. TE-derived enhancers were present in both species but were not enriched in shadow enhancers relative to single enhancers, suggesting that TE co-option contributes to enhancer evolution generally rather than preferentially generating redundant enhancer architectures. Finally, TE-mediated enhancer splitting was rare in both genomes. These results indicate that shadow enhancer birth is mechanistically heterogeneous, reflecting a mixture of duplication, TE co-option, and other mechanisms, whose contributions are shaped by genome architecture and evolutionary time. Therefore, we find that overlapping regulatory functions can arise through multiple evolutionary routes and that birth mechanisms can influence, but do not strictly determine, the regulatory logic of the resulting enhancer set.

genetics↗

bioRxiv2026

Novel Drosophila cis-regulatory elements can be uncovered by footprinting transcription factor binding sites in ATAC-seq data

Developmental processes depend on carefully coordinated gene expression. Expression is modulated by the binding of transcription factors (TFs) to cis-regulatory elements (CREs), like enhancers and promoters. Many computational and experimental approaches have been developed to find CREs, particularly enhancers, in the genome, each with strengths and caveats. Given the increasing availability of ATAC-seq data and methods to find TF binding therein, we hypothesized that we could use TF footprinting tools to find clusters of TF binding events within accessible chromatin that may act as CREs. Using Drosophila anterior-posterior patterning network as a test bed, we used a digital genomic footprinting tool (DGT), TOBIAS, on previously published early embryo ATAC-seq data to characterize the TF footprint landscape of 16 TFs essential for embryonic patterning. Even in this system, with its extensive enhancer annotation, most footprinted TF binding sites lie outside of known enhancers, with intergenic and intronic regions hosting the highest TF footprint count, albeit at low density. To find potential novel enhancers, we identified high-density TF footprint clusters that are highly conserved and overlap with active enhancer histone mark signals. Five high confidence candidates were selected for reporter assay validation and all five were found to drive spatially patterned expression in the embryo. This study shows that even in a highly characterized system, the analysis of footprinted TF binding sites in ATAC-seq data can uncover new regulatory regions and suggests this approach may be helpful in using existing ATAC-seq data to find novel CREs. ARTICLE SUMMARYGiven the increasing availability of ATAC-seq datasets, workflows to exploit the data to uncover new cis-regulatory elements (CREs), including enhancers, are valuable. Using early anterior-posterior patterning in the Drosophila embryo as a test case, we find that previously published transcription factor footprinting tools and ATAC-seq data can be analyzed to yield new candidate CREs. Experimental validation confirms the activity of selected candidate CREs, suggesting that existing data can be analyzed to find novel regulatory elements.

genomics↗

bioRxiv2025

A genome-wide survey reveals a diverse array of enhancers coordinate the Drosophila innate immune response

To defend against microbes, animals regulate a complex immune response. The Drosophila innate immune system deploys a large transcriptional induction of signaling proteins, anti-microbial effectors, and other critical immune factors. This transcriptional response is encoded in enhancers, cis-regulatory sequences that modulate gene expression by binding transcription factors (TFs). While enhancers and transcription factor binding sites (TFBS) have been identified for several immune responsive genes in Drosophila, most enhancers that regulate immune-induced genes are unknown. By identifying enhancers, we can understand how their composition controls expression and contributes to infection outcome. We employed STARR-seq (Self Transcribing Active Regulatory-Region sequencing) in a hemocyte-like cell line to identify immune-specific enhancers across the D. melanogaster genome and performed ATAC-seq in hemocytes extracted from adult flies to assess the chromatin state of these enhancers before and after immune stimulus. We identified thousands of enhancers responsive to IMD stimulation, one of the two primary immune signaling pathways in Drosophila. As expected, immune enhancers are enriched for motifs of Relish, an NF-{kappa}B factor, and Kay/Jra, a bZip heterodimer pair, involved in the Imd and JNK pathways respectively, compared to enhancers active in unstimulated cells. However, when grouping enhancers by their target genes expression timing or functional role or by the enhancers chromatin accessibility pre- or post-stimulus, different groups of TFBS motifs are enriched, suggesting distinct regulatory logic for different parts of the immune response. Identification and characterization of the diverse array of enhancers that regulate the innate immune response expands our understanding of how animals fight infections.

genomics↗

bioRxiv2025

Heterogeneous NF-κB activation and enhancer features shape transcription in Drosophila immunity

Conserved NF-{kappa}B signaling pathways shape immune responses in animals. In mammals, NF-{kappa}B activation patterns and downstream transcription vary with stimulus, cell type, and stochastic differences among identically treated cells. Whether animals without adaptive immunity exhibit similar heterogeneity or rely on distinct immune strategies remains unknown. We engineered Drosophila melanogaster S2* reporter cells as an immune-responsive model to monitor the dynamics of an NF-{kappa}B transcription factor, Relish, and downstream transcription in single, living cells. Following immune stimulation, Relish exhibits diverse nuclear localization dynamics that fall into distinct categories, with both the fraction of responsive cells and their activation speed rising with stimulus dose. Pre-stimulus features, including Relish nuclear fraction, predict a cells responsiveness to stimulation. Simultaneous measurement of Relish and downstream transcription revealed that the probability of transcriptional bursts from immune-responsive enhancers correlates with Relish nuclear fraction. The number of NF-{kappa}B binding sites tunes transcriptional activity among immune enhancers. Our study uncovers heterogeneity in NF-{kappa}B activation and target gene expression within Drosophila, illustrating how dynamic NF-{kappa}B behavior and enhancer architecture tune gene regulation.

molecular biology↗

bioRxiv2025

Comparison of Activities of Transcription Factor NF-κB from Two Jellyfish Models

Herein, transcription factor Nuclear Factor-kappaB (NF-{kappa}B) is characterized as the downstream effector of putative innate immune signaling pathways from two model jellyfish, Aurelia aurita (Aa) and Clytia hemisphaerica (Ch). Both jellyfish NF-{kappa}B proteins consist primarily of the N-terminal DNA-binding/dimerization domain, and they lack the C-terminal ankyrin repeat inhibitory domain found in vertebrate NF-{kappa}B proteins. Both jellyfish NF-{kappa}B proteins bind to a consensus mammalian NF-{kappa}B binding site, and their AlphaFold3-predicted structures on DNA are similar to that of mouse NF-{kappa}B p50. Neither Aa- nor Ch-NF-{kappa}B activated transcription of an NF-{kappa}B-site reporter gene in human cells; however, Aa-NF-{kappa}B did activate transcription from a GAL4-site reporter gene in yeast, whereas Ch-NF-{kappa}B did not. Aa- and Ch-NF-{kappa}B were both constitutively located in the nucleus when expressed in vertebrate cells. Homologs of I{kappa}B-like proteins from both species interacted with their corresponding NF-{kappa}B proteins in co-immunoprecipitation assays in HEK 293T cells. These I{kappa}B-like proteins influenced the subcellular localization of their cognate NF-{kappa}B proteins in vertebrate cells, and their ankyrin repeat domains were predicted to interact with Ch-NF-{kappa}B in a manner similar to mammalian I{kappa}B and NF-{kappa}B. RNA-sequencing data from Ch animals indicate that Ch-NF-{kappa}B is expressed at high levels in early developmental stages, when Ch-I{kappa}B expression is low, suggesting that active Ch-NF-{kappa}B controls an early developmental process. In contrast, in adult animals the expression of Ch-I{kappa}B is high, suggesting that Ch-NF-{kappa}B requires a signal in order to become active. Overall, these results provide comparative information on the structure, activity, and mRNA expression of jellyfish NF-{kappa}B pathway proteins among jellyfish, and they suggest roles for NF-{kappa}B in developing and adult jellyfish.

molecular biology↗

bioRxiv2022

Drosophila immune priming to Enterococcus faecalis relies on immune tolerance rather than resistance

Most multicellular organisms, including fruit flies, possess an innate immune response, but lack an adaptive immune response. Even without adaptive immunity, "immune priming" allows organisms to survive a second infection more effectively after an initial, non-lethal infection. We used Drosophila melanogaster to study the transcriptional program that underlies priming. Using an insect-derived strain of Gram-positive Enterococcus faecalis, we found a low dose infection enhances survival of a subsequent high dose infection. The enhanced survival in primed animals does not correlate with a decreased bacterial load, implying that the organisms tolerate, rather than resist the infection. We measured the transcriptome associated with immune priming in the fly immune organs: the fat body and hemocytes. We found many genes that were only upregulated in re-infected flies. In contrast, there are very few genes that either remained transcriptionally active throughout the experiment or more efficiently re-activated upon reinfection. Measurements of priming in immune deficient mutants revealed IMD signaling is largely dispensable for responding to a single infection, but needed to fully prime; while Toll signaling is required to respond to a single infection, but dispensable for priming. Overall, we found a primed immune response to E. faecalis relies on immune tolerance rather than bacterial resistance and drives a unique transcriptional response.

immunology↗

bioRxiv2021

Longitudinal monitoring of individual infection progression in Drosophila melanogaster

The innate immune system is critical for host survival of infection. Infection models in organisms like Drosophila melanogaster are key for understanding evolution and dynamics of innate immunity. However, current toolsets for fly infection studies are limited in their throughput and their ability to generate longitudinal measurements of infection progression in single animals. Here we report a novel bioluminescent imaging strategy enabling non-invasive characterization of pathogen load over time. We demonstrate that photon flux from autobioluminescent reporter bacteria can be used to monitor relative pathogen loads in individual animals. Escherichia coli expressing the ilux operon were imaged in whole, living flies at relevant concentrations for immune study. Because animal sacrifice was not necessary to estimate pathogen load, stochastic responses to infection were characterized in individuals over time for the first time. The high temporal resolution of bioluminescence imaging also enabled visualization of the fine dynamics of microbial clearance on the hours time-scale. Overall, this non-invasive imaging strategy provides a simple and scalable platform to observe changes in pathogen load in vivo over time.

immunology↗

bioRxiv2021

Mechanistic Gene Networks Inferred from Single-Cell Data are Better Predictors than Neural Networks.

AO_SCPLOWBSTRACTC_SCPLOWWith advances in single-cell techniques, measuring gene dynamics at cellular resolution has become practicable. In contrast, the increased complexity of data has made it more challenging computationally to unravel underlying biological mechanisms. Thus, it is critical to develop novel computational methods capable of dealing with such complexity and of providing predictive deductions from such data. Many methods have been developed to address such challenges, each with its own advantages and limitations. We present an iterative regression algorithm for inferring a mechanistic gene network from single-cell data. Using this regression, we infer a developmental model for the gene dynamics in Drosophila melanogaster blastoderm embryo. Our results show that the predictive power of the inferred model is higher than that of other models inferred with least squares and ridge regressions. Furthermore, model predictions of the gene dynamics are more accurate than predictions made with neural networks. This holds true even in the limit of small sample sizes. We compare predictions for various gene knockouts with published experimental results, finding substantial agreement. We also make predictions for gene dynamics under various gene network perturbations, impossible in non-mechanistic models.

systems biology↗

bioRxiv2021

Molecular competition can shape enhancer activity in the Drosophila embryo

Transgenic reporters allow the measurement of regulatory DNA activity in vivo and consequently have long been useful tools in the study of enhancers. Despite the utility of transgenic reporters, few studies have investigated the potential effects these reporters have on the expression of other transgenic reporters or endogenous genes. A full understanding of the impacts transgenic reporters have on expression is required for accurate interpretation of transgenic reporter data and characterization of gene regulatory mechanisms. Here, we investigate the impact transgenic reporters have on the expression of other transgenic reporters and endogenous genes. By measuring the expression of Kruppel (Kr) enhancer reporters in live Drosophila embryos that contain either one or two copies of identical reporters, we find reporters have an inhibitory effect on one anothers expression. Further, expression of a nearby endogenous gene is decreased in the presence of a Kr enhancer reporter. Through the use of competitor binding site arrays, we present evidence that reporters, and potentially endogenous genes, are competing for transcription factors (TFs). Increasing the number of competitor Bcd binding sites decreases the peak levels and spatial extent of Bcd-regulated enhancer reporters expression. To understand how small numbers of added TF binding sites could impact gene expression to the extent we observe, we develop a simple thermodynamic model of our system. Our model predicts competition of the measured magnitude specifically if TF binding is restricted to distinct nuclear subregions, underlining the importance of the non-homogenous nature of the nucleus in regulating gene expression.

systems biology↗

bioRxiv2021

Two promoters integrate multiple enhancer inputs to drive wild-type knirps expression in the D. melanogaster embryo

Proper development depends on precise spatiotemporal gene expression patterns. Most genes are regulated by multiple enhancers and often by multiple core promoters that generate similar transcripts. We hypothesize that these multiple promoters may be required either because enhancers prefer a specific promoter or because multiple promoters serve as a redundancy mechanism. To test these hypotheses, we studied the expression of the knirps locus in the early Drosophila melanogaster embryo, which is mediated by multiple enhancers and core promoters. We found that one of these promoters resembles a typical "sharp" developmental promoter, while the other resembles a "broad" promoter usually associated with housekeeping genes. Using synthetic reporter constructs, we found that some, but not all, enhancers in the locus show a preference for one promoter. By analyzing the dynamics of these reporters, we identified specific burst properties during the transcription process, namely burst size and frequency, that are most strongly tuned by the specific combination of promoter and enhancer. Using locus-sized reporters, we discovered that even enhancers that show no promoter preference in a synthetic setting have a preference in the locus context. Our results suggest that the presence of multiple promoters in a locus is both due to enhancer preference and a need for redundancy and that "broad" promoters with dispersed transcription start sites are common among developmental genes. Our results also imply that it can be difficult to extrapolate expression measurements from synthetic reporters to the locus context, where many variables shape a genes overall expression pattern.

developmental biology↗

bioRxiv2020

The mode of expression divergence in Drosophila fat body is infection-specific

Transcription is controlled by the interactions of cis-acting DNA elements with diffusible trans-acting factors. Changes in cis or trans factors can drive expression divergence within and between species, and the relative prevalence of each can reveal the evolutionary history and pressures that drive expression variation. Previous work delineating the mode of expression divergence in animals has largely used whole body expression measurements in a single condition. Since cis-acting elements often drive expression in a subset of cell types or conditions, these measurements may not capture the complete contribution of cis-acting changes. Here, we quantify the mode of expression divergence in the Drosophila fat body, the primary immune organ, in several conditions. We performed allele-specific expression analysis using two geographically distinct lines of D. melanogaster and their F1 hybrids. We measured expression in the absence of infection and in separate infections with Gram-negative S. marcescens or Gram-positive E. faecalis bacteria, which trigger the two primary signaling pathways in the Drosophila innate immune response. The mode of expression divergence strongly depends on the condition, with trans-acting effects dominating in response to Gram-positive infection and cis-acting effects dominating in Gram-negative and pre-infection conditions. Expression divergence in several receptor proteins may underlie the infection-specific trans effects. Before infection, when the fat body has a metabolic role, there are many compensatory effects, changes in cis and trans that counteract each other to maintain expression levels. This work demonstrates that within a single tissue, the mode of expression divergence varies between conditions and suggests that these differences reflect the diverse evolutionary histories of host-pathogen interactions.

genomics↗

bioRxiv2020

A mutation in the Drosophila melanogaster eve stripe 2 minimal enhancer is buffered by flanking sequences

Enhancers are DNA sequences composed of transcription factor binding sites that drive complex patterns of gene expression in space and time. Until recently, studying enhancers in their genomic context was technically challenging. Therefore, minimal enhancers, the shortest pieces of DNA that can drive an expression pattern that resembles a genes endogenous pattern, are often used to study features of enhancer function. However, evidence suggests that some enhancers require sequences outside the minimal enhancer to maintain function under environmental perturbations. We hypothesized that these additional sequences also prevent misexpression caused by a transcription factor binding site mutation within a minimal enhancer. Using the Drosophila melanogaster even-skipped stripe 2 enhancer as a case study, we tested the effect of a Giant binding site mutation (gt-2) on the expression patterns driven by minimal and extended enhancer reporter constructs. We found that, in contrast to the misexpression caused by the gt-2 binding site mutation in the minimal enhancer, the same gt-2 binding site mutation in the extended enhancer did not have an effect on expression. The buffering of expression levels, but not expression pattern, is partially explained by an additional Giant binding site outside the minimal enhancer. Mutating the gt-2 binding site in the endogenous locus had no significant effect on stripe 2 expression. Our results indicate that rules derived from mutating enhancer reporter constructs may not represent what occurs in the endogenous context.

genetics↗

bioRxiv2019

Shadow enhancers suppress input transcription factor noise through distinct regulatory logic

Shadow enhancers, groups of seemingly redundant enhancers, are found in a wide range of organisms and are critical for robust developmental patterning. However, their mechanism of action is unknown. We hypothesized that shadow enhancers drive consistent expression levels by buffering upstream noise through a separation of transcription factor (TF) inputs at the individual enhancers. By measuring transcriptional dynamics of several Kruppel shadow enhancer configurations in live Drosophila embryos, we showed individual member enhancers act largely independently. We found that TF fluctuations are an appreciable source of noise that the shadow enhancer pair can better buffer than duplicated enhancers. The shadow enhancer pair is uniquely able to maintain low levels of expression noise across a wide range of temperatures. A stochastic model demonstrated the separation of TF inputs is sufficient to explain these findings. Our results suggest the widespread use of shadow enhancers is partially due to their noise suppressing ability.

systems biology↗

bioRxiv2018

Quantitative comparison of the anterior-posterior patterning system in the embryos of five Drosophila species

Complex spatiotemporal gene expression patterns direct the development of the fertilized egg into an adult animal. Comparisons across species show that, in spite of changes in the underlying regulatory DNA sequence, developmental programs can be maintained across millions of years of evolution. Reciprocally, changes in gene expression can be used to generate morphological novelty. Distinguishing between changes in regulatory DNA that lead to changes in gene expression and those that do not is therefore a central goal of evolutionary developmental biology. Quantitative, spatially-resolved measurements of developmental gene expression patterns play a crucial role in this goal, enabling the detection of subtle phenotypic differences between species and the development of computations models that link the sequence of regulatory DNA to expression patterns. Here we report the generation of two atlases of cellular resolution gene expression measurements for the primary anterior-posterior patterning genes in Drosophila simulans and Drosophila virilis. By combining these data sets with existing atlases for three other Drosophila species, we detect subtle differences in the gene expression patterns and dynamics driving the highly conserved axis patterning system and delineate inter-species differences in the embryonic morphology. These data sets will be a resource for future modeling studies of the evolution of developmental gene regulatory networks.

systems biology↗

bioRxiv2017

Caudal counter-represses Hunchback to regulate even-skipped stripe 2 expression in Drosophila embryos

Hunchback is a bifunctional transcription factor that can activate and repress gene expression in Drosophila development. We investigated the regulatory DNA sequence features that control Hunchback function by perturbing enhancers for one of its target genes, even-skipped. While Hunchback directly represses the eve stripe 3+7 enhancer, we found that in the eve stripe 2+7 enhancer, Hunchback repression is prevented by Caudal binding--this relationship is called counter-repression. We found evidence that this relationship is conserved by comparing predicted binding sites for Hunchback and Caudal across orthologous eve stripe 2 enhancers. These results alter the textbook view of eve stripe 2 regulation wherein Hb is depicted as a direct activator. Instead, to generate stripe 2, Hunchback repression must be counteracted by Caudal binding. We discuss the implications of this interaction for eve stripe 2 regulation and evolution.

genetics↗