Biology subjects

Ruegg, J.

Publications and source records attributed to Ruegg, J..

5 recordsLinked to original sources

bioRxiv2026

Germline genomic and methylomic dynamics following three generations of early-life metabolic challenges

Environmental and dietary factors can exert multigenerational effects on health and development. In this study, we investigated whether early-life metabolic challenge affects the germline genome and epigenome across three generations. Using a murine model of early life obesity via litter size reduction (overnutrition group, ON) and a control group (CT), we followed the paternal lineage focusing on germline genomic and methylation changes employing Genotyping-by-Sequencing (GBS) coupled with methyl-immunoprecipitation (GBS-MeDIP). We found that unrelated ON families clustered together based on identified Single-Nucleotide Polymorphism (SNP), suggesting that the treatment may have genomic impact. Copy number variations (CNVs) events were identified in ON individuals, being enriched in Long Interspersed Nuclear Elements (LINEs) and Long Terminal Repeats (LTRs). While Principal Component Analysis (PCA) of the methylome showed no clear treatment effect, pathway enrichment and regional analyses revealed methylation changes associated with transposable elements and developmental genes. Notably, the ON group exhibited a disruption in the methylation of Repetitive Elements (RE), which was significant in the same type of RE that were also enriched in the observed CNVs. The ON also showed reduced emergence of novel SNPs in offspring compared to the CT group. These findings suggest that multigenerational metabolic challenge can constrain genetic variability and induce genome instability, potentially mediated by transposable element activity rather than widespread changes in DNA methylation. This work highlights the importance of studying both genome and epigenome dynamics under realistic, multigenerational exposure scenarios and suggests that early metabolic challenges can have long-lasting impacts on genomic architecture and evolutionary potential.

genomics↗

bioRxiv2026

Epigenetic changes induced by developmental PFAS exposure in zebrafish associate with behavioral alterations in unexposed offspring

Per- and polyfluoroalkyl substances (PFAS) are widespread environmental contaminants with documented toxic effects, yet their multi- and transgenerational impacts on neurodevelopment and underlying mechanisms remain poorly understood. Here, we present a comprehensive study delineating the effects of developmental exposure to environmentally relevant concentrations of PFOS and PFBS on behavior, transcriptome, and genome-wide DNA methylation patterns in the directly exposed generation (F0) and their unexposed offspring (F1 and F2) in zebrafish. Both PFOS and PFBS altered larval behavior, linked to transcriptomic and DNA methylation changes in neuro-related pathways, even in the unexposed offspring. Importantly, specific DNA methylation changes in F0 were associated with behavioral outcomes in F2 animals, suggesting that these alterations could underlie transgenerational effects. Pathways associated with differentially methylated genes were prominently enriched for response to light and circadian regulation. Our findings demonstrate that developmental exposure to PFAS causes transgenerational behavioral effects in zebrafish and suggest that epigenetic changes induced by direct exposure may serve as markers for predicting outcomes in subsequent, unexposed generations. TEASERPFAS induce circadian-related epigenetic changes in zebrafish associated with behavioral impacts in unexposed offspring.

molecular biology↗

bioRxiv2025

Temporal structure of chemical stress controls single-cell inhibition and recovery in photosynthetic microorganisms

Although fluctuating conditions are a hallmark of microbial habitats, how the timing of chemical stress influences single-cell inhibition and recovery is not well resolved. Using a microfluidic platform, we continuously tracked photosynthetic performance in thousands of individual cells of a coral-associated microalga (Symbiodiniaceae sp.) exposed to identical cumulative doses of the photosystem II inhibitor diuron delivered either as constant or fluctuating profiles. Fluctuating exposure produced stronger early inhibition than constant exposure, but as concentrations declined it enabled partial recovery that did not occur under time-averaged constant conditions. These dynamics revealed distinct response subpopulations that differed in both the magnitude and timing of inhibition, including groups that regained activity exclusively under fluctuating stress. Quantifying per-cell decline kinetics showed that fluctuating exposure synchronizes the onset of inhibition across cells, creating a narrow temporal window in which a subset of cells can recover once stress levels fall, whereas constant exposure yields more heterogeneous but uniformly declining trajectories. These results demonstrate that stress timing, not cumulative dose alone, governs whether photosynthetic inhibition is reversible at the single-cell level. More broadly, our findings illustrate how temporal variability and intrinsic phenotypic heterogeneity jointly govern cellular function, highlighting stress timing as an important and often overlooked axis shaping microbial performance in dynamic environments. Significance statementEnvironmental stress in nature is rarely constant; instead, it fluctuates over minutes to days. Yet most laboratory assays rely on static exposures, leaving the role of stress timing poorly understood. Using microfluidics, we imposed precisely timed chemical stress on individual cells of a coral-associated microalga and monitored their photosynthetic performance continuously. Fluctuating exposure caused strong initial inhibition but later allowed partial recovery in a subset of cells, revealing functional heterogeneity that constant stress concealed. These results show that when stress occurs, its temporal structure can be as important as how much stress is delivered. By uncovering mechanisms that govern reversibility and heterogeneity in a key coral symbiont, this work provides a mechanistic basis for understanding microbial responses in dynamic environments.

ecology↗

bioRxiv2025

A mixture of endocrine disrupting chemicals linked to lower birth weight induces adipogenesis and transcriptional changes related to birth weight alterations and diabetes

There is increasing evidence that endocrine disrupting chemicals (EDCs) are contributing to the rise in metabolic disorders and obesity. Humans are constantly exposed to numerous EDCs, thus human exposure entails complex EDC mixtures. In this study, we examined the effects of an EDC mixture, mixture G, composed of four phthalate esters, triclosan, and three poly- och perfluorinated alkyl substances. Mixture G had previously been defined based on its association with lower birth weight in a pregnancy cohort, where low birth weight is an early risk factor for metabolic morbidities later in life. Here, we studied its effects on adipogenesis and uncovered their underlying transcriptional changes. Human mesenchymal stem cells (hMSCs) were exposed to mixture G in concentrations and mixing ratios that reflect those measured in human serum. Mixture G induced adipogenesis in hMSCs, as evidenced by a dose-dependent increase in lipid droplet accumulation after 14-21 days. Notably, significant adipogenic effects were observed at concentrations comparable to those detected in humans. RNA-sequencing upon exposure for 48 h revealed dose-dependent transcriptional changes in over 1000 genes. Mixture G-induced differentially expressed genes (DEGs) showed significant overlap with genes involved in osteogenesis, with glucocorticoid-regulated genes, and with genes associated with birth weight alterations and diabetes type II. These results indicate that exposure to an environmentally relevant EDC mixture induces adipogenesis and leads to transcriptional alterations that might change the balance between adipogenic and osteogenic differentiation as well as the functionality of MSCs, possibly via interference with glucocorticoid signalling. Thus our findings underscore the role of EDCs as metabolic disruptors and shed light on the molecular mechanisms underlying their potential contribution to the development of metabolic disorders. HighlightsO_LIAn endocrine disruptor mixture linked to lower birth weight increases adipogenesis C_LIO_LIThe mixture induced transcriptomic changes at low doses C_LIO_LIAffected genes are associated with birth weight and diabetes type II C_LI Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=78 SRC="FIGDIR/small/638050v1_ufig1.gif" ALT="Figure 1"> View larger version (17K): org.highwire.dtl.DTLVardef@12428bforg.highwire.dtl.DTLVardef@ef28b3org.highwire.dtl.DTLVardef@159024corg.highwire.dtl.DTLVardef@a605b7_HPS_FORMAT_FIGEXP M_FIG C_FIG

pharmacology and toxicology↗

bioRxiv2017

From Cohorts to Molecules: Adverse Impacts of Endocrine Disrupting Mixtures

Convergent evidence associates endocrine disrupting chemicals (EDCs) with major, increasingly-prevalent human disorders. Regulation requires elucidation of EDC-triggered molecular events causally linked to adverse health outcomes, but two factors limit their identification. First, experiments frequently use individual chemicals, whereas real life entails simultaneous exposure to multiple EDCs. Second, population-based and experimental studies are seldom integrated. This drawback was exacerbated until recently by lack of physiopathologically meaningful human experimental systems that link epidemiological data with results from model organisms.\n\nWe developed a novel approach, integrating epidemiological with experimental evidence. Starting from 1,874 mother-child pairs we identified mixtures of chemicals, measured during early pregnancy, associated with language delay or low-birth weight in offspring. These mixtures were then tested on multiple complementary in vitro and in vivo models. We demonstrate that each EDC mixture, at levels found in pregnant women, disrupts hormone-regulated and disease-relevant gene regulatory networks at both the cellular and organismal scale.

molecular biology↗