Our understanding of how ganglioside species are spatially and quantitatively distributed within regions in mammalian remains limited. Studies are typically translated from rodents, assuming that gangliosides species contents within brain regions reflect the human condition. Herein, we provide a rich spatial ganglioside brain atlas describing the content, compositional differences, and concentrations of 48 ganglioside species […]
Polarity remodeling of ventricular cardiomyocyte precursors during heart morphogenesis is required for ventricular chamber formation
Vertebrate heart development requires precise regulation of morphogenetic movements and dysregulation causes congenital heart defects. However, cell polarity remodeling during early heart tube formation remains underexplored. Here, we show that zebrafish ventricular cardiomyocyte precursors (vCPCs) undergo striking polarity reorientation as they transition from a single-layered epithelium to a transient double-layered configuration by involution. During this […]
Early Spatiotemporal Deficits Become Competitive Advantages During Collective Expansion
Rapid expansion into new territory is fundamental to population persistence, ecological dominance, and evolutionary success. Every race for space is initiated by founding populations, yet how their initial spatiotemporal conditions shape the outcome remains unclear. Here, by combining nonlinear theory with quantitative microbial experiments, we show that collective motility can overturn the classical logic of […]
Transcriptomic profiling reveals multiple mechanisms of insecticide resistance in Aedes aegypti from Angola
Control of arboviruses remains heavily reliant on insecticide-based vector control targeting adult Aedes aegypti, especially during outbreaks, but the effectiveness of these tools can be compromised by insecticide resistance. While the mechanisms underlying resistance have been widely studied in Latin American and South East Asian Ae. aegypti, knowledge from African populations is limited, particularly regarding […]
SAD-dependent thylakoid lipid desaturation and FDX5-associated electron transfer during copper deficiency in Chlamydomonas reinhardtii
Photosynthetic membranes undergo structural remodeling in response to environmental stress by altering fatty acid composition and desaturation levels. These changes, mediated by fatty acid desaturases (FADs), are essential for maintaining photosynthetic performance and adaptation. In this study, we demonstrate that copper-deficient Chlamydomonas reinhardtii cells upregulate the expression of the gene encoding stearoyl-ACP desaturase (SAD/FAB2). We […]
One-pot enzymatic synthesis of the sugar nucleotide CDP-ribitol
CDP-ribitol serves as an essential donor for D-ribitol-5-phosphate incorporation into bacterial and mammalian glycoconjugates. Here, we demonstrate the one-pot enzymatic synthesis of CDP-ribitol from the readily available precursor ribitol. We also explore the synthesis of bioorthogonally tagged derivatives and other CDP conjugates, thereby providing valuable new tools for glycoscience research.
Genomic Architecture, Differentiation, and Adaptation in Three Large Falcons
Recent chromosomal rearrangements and divergence in large falcon species make them excellent foci for studies on evolution and genomic architecture. Here, we use high-coverage (44-74X) whole genome resequencing with 10X Genomics Linked-Reads to assess patterns of genomic divergence in peregrine, saker, and gyrfalcons and we link these to chromosomal type and chromosomal rearrangements. We first […]
Spatio-temporal machine learning for multi-horizon prediction of bluetongue outbreaks
Reliable early warning of infectious disease outbreaks remains a major challenge for surveillance systems, particularly for vector-borne pathogens whose transmission depends on interactions among hosts, vectors, and climate-sensitive environmental conditions. Data-driven forecasting offers a promising approach for predicting outbreak risk using surveillance and environmental data. This study develops a logit-weighted ensemble (LWE), a machine-learning framework […]