Biology subjects

Wiese, J.

Publications and source records attributed to Wiese, J..

10 recordsLinked to original sources

bioRxiv2026

Fertilization offsets the maternal age effect on mouse oocytes provided the oviduct is not itself aged

Advanced maternal age compromises oocyte quality, and it is widely assumed that these deficits are transmitted to embryos. However, because most studies rely on in vivo conception, it has been difficult to separate the effects of oocyte aging from those of an aged fertilization environment. In aging mice, we observed that the fraction of ovulated oocytes forming implantation sites after in vivo conception fell ~3.7-fold, raising the question of whether this was due to reduced fertilization, reduced embryo quality or reduced support from the aged reproductive tract. Therefore we fertilized oocytes of aged and young mice in vitro with a shared young-donor sperm preparation, holding the fertilization environment constant and removing paternal variability. Hallmarks of maternal age were largely offset following fertilization in vitro: aged oocytes produced blastocysts at rates comparable to young controls, with altered - but not deficient - cell-lineage composition and no detectable impairment in development to term (E18.5) after transfer to young oviducts. Proteomic analysis revealed that, unlike the transcriptomic signature, the proteomic age signature of oocytes was not faithfully propagated to the blastocyst: for a subset of proteins, particularly those depleted in aged oocytes, the direction of the age effect reversed between oocyte and blastocyst. Comparison with parthenogenetically activated oocytes showed this divergence to be fertilization-dependent, implicating fertilization - rather than mere embryonic cleavage - as the driver of proteomic change. Stable-isotope labelling in live embryos showed that blastocysts from aged, fertilized oocytes both synthesized more new protein and retained less maternal protein than young counterparts; neither effect was detectable after parthenogenesis. Puromycin labelling, by contrast, showed a maternal-age-associated rise in bulk synthesis regardless of route. Together, these results indicate that the maternal-age effect on the oocyte proteome is labile rather than fixed and can be offset by fertilization itself, provided the maternal environment is not itself aged.

developmental biology↗

bioRxiv2026

Putative Herbicolin A, an antifungal lipopeptide produced by Pantoea agglomerans APC 4211 is a promising biocontrol agent against food spoilage fungi

Fungal contamination of food with yeast and moulds is associated with major economic losses due to spoilage and also poses health risks in the form of mycotoxin production. The strain Pantoea agglomerans APC 4211 isolated from leaves of Ilex aquifolium (holly tree) has broad spectrum antifungal activity against a variety of food spoilage fungi. Genomic analysis of the strain confirmed the presence of biosynthetic gene clusters potentially encoding for the enzymatic machinery required for the production of the antifungal lipopeptide herbicolin A. Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) analysis of the cell-free supernatant (CFS) confirmed the presence of molecular masses corresponding to herbicolin A (1300.8 Da), and herbicolin B (1138 Da). Purified herbicolin A has desirable properties for biotechnological applications, including potent antifungal activity against a range of spoilage fungi, thermal stability and resistance to proteases. Herbicolin A has low cytotoxicity against epithelial cell lines and has minimum inhibitory concentrations (MICs) lower than those of some commercial antifungal drugs (0.2 - 2.5 {micro}g/ml). In a model dairy system (10% skim milk), herbicolin A demonstrated excellent solubility and stability, effectively eliminating Aspergillus niger and Penicillium notatum at a concentration of 5 {micro}g/mL. In conclusion, herbicolin A is a potent, naturally occurring antifungal agent with the potential to be applied as a biopreservative in food systems, providing a safe, clean-label, and efficient compound for synthetic preservatives replacement. HighlightsO_LIHerbicolin A has a strong potential as a natural preservative for food protection C_LIO_LIHerbicolin A shows lower MICs than several antifungal agents C_LIO_LIHerbicolin A is stable under heat and resistant to proteolytic degradation C_LIO_LIHerbicolin A has strong solubility and stability in a model dairy system C_LIO_LIHerbicolin A indicates low cytotoxicity against epithelial cell lines C_LI Data summaryThe authors confirm all supporting data, code and protocols have been provided within the article or through supplementary data files.

microbiology↗

bioRxiv2026

Cave evolution on repeat: reuse of the same genomic regions across lineages but not across traits in Astyanax mexicanus

Similar traits repeatedly evolve across independent populations in response to similar environmental conditions. For many repeatedly evolved traits it is unknown if populations evolve similar traits through the same or different genetic mechanisms. To address this question, we leveraged the Mexican tetra fish, Astyanax mexicanus, which has evolved repeatedly through altering many traits including reduced sleep duration, eye degeneration, and metabolic shifts to accommodate limited nutrient availability. We defined whether shared or independent genetic architecture govern the repeated evolution of sleep loss, increased food consumption, early onset adipose deposition, and eye loss in different evolutionary origins of the cavefish phenotype by using Quantitative Trait Locus (QTL) mapping across three cave x surface F2 mapping populations. We found that, among the traits evaluated, eye loss exhibits the most genetic repeatability, with [~]43% of QTL shared across lineages. Sleep loss and metabolic traits (i.e., feeding, adiposity) were genetically less repeatable, with only [~]25-33% of QTL shared across lineages. Next, we explored whether QTL for metabolism, eye loss, and sleep traits in cavefish co-localize in the cavefish genome and could be inherited together to facilitate potential cavefish adaptation. Although these traits have repeatedly co-evolved in cave populations, we did not find evidence for extensive genetic linkage among them. Overall, we found that genetic repeatability is a common feature in the repeated evolution of cave traits, the extent of genetic repeatability varies across cave traits, and that there is little evidence for widespread co-localization of sleep, eye loss, and metabolic traits within the genome. SummaryIndependent populations that evolve similar traits in response to similar environmental conditions provide us with natural replicates for studying what constrains evolutionary change. Iconic examples of repeated trait evolution often involve repeated mutations in the same genes, suggesting there are limits on the type of genes and mutations that can contribute to phenotypic evolution. Here we conduct a multi-trait, multi-population QTL analysis for similar eye loss, sleep loss and metabolic shifts across two lineages of Astyanax mexicanus. Genetic repeatability is present for most traits, but its extent is highly trait dependent and occurs at the level of genomic regions rather than specific genes, highlighting the mosaic of constraint and flexibility involved in genetic repeatability.

evolutionary biology↗

bioRxiv2025

Accurate Prediction of ecDNA in Interphase Cancer Cells using Deep Neural Networks

Oncogene amplification is a key driver of cancer pathogenesis and is often mediated by extrachromosomal DNA (ecDNA). EcDNA amplifications are associated with increased pathogenicity of cancer and poorer outcomes for patients. EcDNA can be detected accurately using fluorescence in situ hybridization (FISH) when cells are arrested in metaphase. However, the majority of cancer cells are non-mitotic and must be analyzed in interphase, where it is difficult to discern extrachromosomal amplifications from chromosomal amplifications. Thus, there is a need for methods that accurately predict oncogene amplification status from interphase cells. Here, we present interSeg, a deep learning-based tool to cytogenetically determine the amplification status as EC-amp, HSR-amp, or not amplified from interphase FISH images. We trained and validated interSeg on 652 images (40,446 nuclei). Tests on 215 cultured cell and tissue model images (9,733 nuclei) showed 89% and 97% accuracy at the nuclear and sample levels, respectively. The neuroblastoma patient tissue hold-out set (67 samples and 1,937 nuclei) also revealed 97% accuracy at the sample level in detecting the presence of focal amplification. In experimentally and computationally mixed images, interSeg accurately predicted the level of heterogeneity. The results showcase interSeg as an important method for analyzing oncogene amplifications.

cancer biology↗

bioRxiv2024

Creating microbiome-model harmony between metaproteomics data and the ADM1da for a two-step anaerobic digester

The effective operation, planning, and optimization of renewable energy production in anaerobic digestion (AD) plants relies on advanced process models, such as the Anaerobic Digestion Model No. 1 (ADM1). This study applies an ADM1-based model (ADM1da) to simulate a two-step digester in an industrial setting. The data demonstrate that 2.6% of the methane is lost as a result of open hydrolysis. Conversely, the incorporation of a hydrolysis fermenter enhances methane production by an average of 2.5%. Although ADM1-like models are widely recognized for accurately representing anaerobic digestion processes, mechanistic insights into the microbiome involved have been limited by the absence of tools to analyze microbial composition and functionality at the time these models were developed. To overcome this limitation, we utilized a metaproteomics approach to assess the abundance and biomass-correlated activity of microbial groups as defined by the model, aiming to bridge the gap between microbial ecology and bioprocess engineering in AD systems. We also developed and evaluated a series of rules for associating particular microbial species with functional groups of the model. Our analysis demonstrates that while the model supports the presence of a stable microbiome composition in the main fermenter, it is difficult to capture the dynamic behavior observed in the hydrolysis fermenter. Furthermore, the actual AD microbiome displays a greater versatility than the model assumes, with microorganisms performing multiple functions rather than being restricted to single roles. In conclusion, this study identifies options for improving AD models and integrating comprehensive biological knowledge to further optimize the performance of anaerobic digesters. HighlightsO_LISimulations revealed 2.6 % methane volume loss attributed to open hydrolysis C_LIO_LIImplementation of a two-step process increased methane production by 2.5% C_LIO_LIIdentification of rules to map metaproteomics data to ADM1da C_LIO_LISimulations of ADM1da depict the dynamic in the main but not in the hydrolysis fermenter C_LIO_LIMicrobial species perform multiple functions not just one as assumed in the ADM1da C_LI

bioengineering↗

bioRxiv2024

Loci associated with cave-derived traits concentrate in specific regions of the Mexican cavefish genome

A major goal of modern evolutionary biology is connecting phenotypic evolution with its underlying genetic basis. The Mexican cavefish (Astyanax mexicanus), a characin fish species comprised of a surface ecotype and a cave-derived ecotype, is well suited as a model to study the genetic mechanisms underlying adaptation to extreme environments. Here we map 206 previously published quantitative trait loci (QTL) for cave-derived traits in A. mexicanus to the newest version of the surface fish genome assembly, AstMex3. This analysis revealed that QTL cluster in the genome more than expected by chance, and this clustering is not explained by the distribution of genes in the genome. To investigate whether certain characteristics of the genome facilitate phenotypic evolution, we tested whether genomic characteristics, such as highly mutagenic CpG sites, are reliable predictors of the sites of trait evolution but did not find any significant trends. Finally, we combined the QTL map with previously collected expression and selection data to identify a list of 36 candidate genes that may underlie the repeated evolution of cave phenotypes, including rgrb which is predicted to be involved in phototransduction. We found this gene has disrupted exons in all non-hybrid cave populations but intact reading frames in surface fish. Overall, our results suggest specific "evolutionary hotspots" in the genome may play significant roles in driving adaptation to the cave environment in Astyanax mexicanus and demonstrate how this compiled dataset can facilitate our understanding of the genetic basis of repeated evolution in the Mexican cavefish.

evolutionary biology↗

bioRxiv2023

Gene loss and relaxed selection of plaat1 in vertebrates adapted to low-light environments

Gene loss is an important mechanism for evolution in low-light or cave environments where visual adaptations often involve a reduction or loss of eyesight. The plaat gene family are phospholipases essential for the degradation of organelles in the lens of the eye. They translocate to damaged organelle membranes, inducing them to rupture. This rupture is required for lens transparency and is essential for developing a functioning eye. Plaat3 is thought to be responsible for this role in mammals, while plaat1 is thought to be responsible in other vertebrates. We used a macroevolutionary approach and comparative genomics to examine the origin, loss, synteny, and selection of plaat1 across bony fishes and tetrapods. We show that plaat1 (likely ancestral to all bony fish + tetrapods) has been lost in squamates and is significantly degraded in lineages of low-visual acuity and blind mammals and fish. Our findings suggest that plaat1 is important for visual acuity across bony vertebrates, and that its loss through relaxed selection and pseudogenization may have played a role in the repeated evolution of visual systems in low-light-environments. Our study sheds light on the importance of gene-loss in trait evolution and provides insights into the mechanisms underlying visual acuity in low-light environments.

evolutionary biology↗

bioRxiv2023

Maribacter halichondris sp. nov., isolated from the marine sponge Halichondria panicea

A new member of the family Flavobacteriaceae (termed Hal144T) was isolated from the marine breadcrumb sponge Halichondria panicea. Sponge material was collected in 2018 at Schilksee which is located in the Kiel Fjord (Baltic Sea, Germany). Phylogenetic analysis of the full-length Hal144T 16S rRNA gene sequence revealed similarities from 94.3% - 96.6% to the nearest type strains of the genus Maribacter. The phylogenetic tree depicted a cluster of strain Hal144T with its closest relatives Maribacter aestuarii GY20T (96.6%) and Maribacter thermophilus HT7-2T (96.3%). Genome comparisons of strain Hal144T with Maribacter spp. type strains exhibited average nucleotide identities in the range of 75% - 76% and digital DNA-DNA hybridization values in the range of 13.1% - 13.4%. Strain Hal144T was determined to be Gram-negative, mesophilic, strictly aerobic, flexirubin positive, resistant to aminoglycoside antibiotics, and able to utilize N-acetyl-{beta}-D-glucosamine. Optimal growth occurred at 25 - 30 {degrees}C, within a salinity range of 2 - 6% sea salt, and a pH range between 5 - 8. The major fatty acids identified were C17:0 3-OH, iso-C15:0, and iso-C15:1 G. The DNA G+C content of strain Hal144T was 41.4 mol%. Based on the polyphasic approach, strain Hal144T represents a novel species of the genus Maribacter, and we propose the name Maribacter halichondris sp. nov.. The type strain is Hal144T (= DSM 114563T = LMG 32744T).

microbiology↗

bioRxiv2022

Selection-driven trait loss in independently evolved cavefish populations

Predicting the outcome of evolution is a central goal of modern biology, yet, determining the relative contributions of deterministic events (i.e., selection) and stochastic events (i.e., drift and mutation) to the evolutionary process remains a major challenge. Systems where the same traits have evolved repeatedly provide natural replication that can be leveraged to study the predictability of molecular evolution and the genetic basis of adaptation. Although mutational screens in the laboratory have demonstrated that a diversity of genetic mutations can produce phenocopies of one another, in natural systems, similar genetic changes frequently underly the evolution of phenotypes across independent lineages. This suggests a substantial role for constraint and determinism in evolution and supports the notion that there may be characteristics which make certain mutations more likely to contribute to phenotypic evolution. Here we use large-scale whole genome resequencing in the Mexican tetra, Astyanax mexicanus, to demonstrate that selection has played a primary role in repeated evolution of both trait loss and trait enhancement across independent cave lineages. We identify candidate genes underlying repeated adaptation to caves and infer the mode of repeated evolution, revealing that selection on standing genetic variation and de novo mutations both contribute substantially to repeated adaptation. Finally, we show that genes with evidence of repeated evolution have significantly longer coding regions compared to the rest of the genome, and this effect is most pronounced in genes evolving convergently via independent mutations. Importantly, our findings provide the first empirical support for the hypothesis that genes with larger mutational targets are more likely to be the substrate of repeated evolution and indicate that features of the novel cave environment may impact the rate at which mutations occur.

evolutionary biology↗

bioRxiv2021

Integrated cycles for urban biomass as a strategy to promote a CO2-neutral society - A feasibility study

Progressive global warming is one of the biggest challenges civilization is facing today. The establishment of a carbon dioxide (CO2)-neutral society based on sustainable value creation cycles is required to stop this development. The Integrated Cycles for Urban Biomass (ICU) concept is a new concept towards a CO2-neutral society. The integration of closed biomass cycles into residential buildings enable efficient resource utilization and avoid transport of biowaste. In this scenario, biowaste is degraded on-site into biogas that is converted into heat and electricity. The liquid fermentation residues are upgraded by nitrification processes (e.g., by a soiling(R)-process, EP3684909A1) to refined fertilizer, which can be used subsequently in house-internal gardens to produce fresh food for residents. Whereas this scenario sounds promising, comprehensive evaluations of produced amounts of biogas and food, saved CO2 and costs as well as social-cultural aspects are lacking. To assess these points, a feasibility study was performed, which estimated the material and energy flows based on simulations of the biogas process and food production. The calculations show that a residential complex with 100 persons can generate 21 % of the annual power (electrical and heat) consumption from the accumulated biowaste. The nitrogen (N) in the liquid fermentation residues enables the production of up to 6.3 t of fresh mass of lettuce per year in a 70 m2 professional hydroponic production area. The amount of produced lettuce corresponds to the amount of calories required to feed four persons for one year. Additionally, due to the reduction of biowaste transport and the in-house food and fertilizer production, 6 468 kg CO2-equivalent (CO2-eq) per year are saved compared to a conventional building. While the ICU concept is technically feasible, its costs are still 1.5 times higher than the revenues. However, the model predictions show that the ICU concept becomes economically feasible in case food prices further increase and ICU is implemented at larger scale, e.g.; at the district level. Finally, this study demonstrates that the ICU implementation can be a worthwile contribution towards a sustainable CO2-neutral society and enable to decrease the demand for agricultural land.

bioengineering↗