121 papers
Genetics is the fascinating study of how traits are passed down and how our DNA shapes everything from eye color to disease risk. At Gist.Science, we bring you the very latest discoveries in this dynamic field directly from bioRxiv, the leading preprint server for biology. Because these findings appear months before formal publication, staying updated requires sifting through complex data that often feels inaccessible to non-specialists.
To bridge that gap, our team processes every new genetics preprint uploaded to bioRxiv, transforming dense scientific reports into clear, plain-language explanations alongside detailed technical summaries. This dual approach ensures that whether you are a seasoned researcher or simply curious about how genes work, you can grasp the core insights without getting lost in jargon. Below are the latest papers in genetics, curated and simplified for your reading.
This pilot study demonstrates the high efficiency and utility of a scalable approach for simultaneously tagging 30 essential *C. elegans* genes with three distinct fluorophores, successfully revealing novel expression patterns and subcellular localizations to pave the way for whole-genome proteome tagging.
This study identifies the box H/ACA snoRNP component GAR1 as a critical regulator of lipid homeostasis in *Drosophila* that functions upstream of the insulin signaling pathway by ensuring proper alternative splicing of key metabolic transcripts, thereby linking RNA processing machinery to systemic nutrient sensing and developmental growth.
This study demonstrates that virus-like particles (VLPs) serve as an efficient and versatile delivery system for CRISPR/Cas9 and other genome editing tools in pigs and chickens, overcoming previous delivery challenges and advancing applications in livestock improvement and One Health research.
This study presents the first chromosome-scale reference genome assembly for *Quercus canariensis*, generated using PacBio HiFi reads to produce two high-quality haplotypes with over 98% BUSCO completeness, thereby providing a foundational resource for future genomic and evolutionary research on this understudied white oak species.
By sequencing 21 ancient sheeppox virus genomes from Bronze Age remains and medieval parchments, researchers traced the virus's 3,500-year evolutionary history, revealing its divergence timeline, early gene inactivation events, and its long-standing threat to Eurasian food security.
By integrating microsatellite genotyping, phylogenetic analyses, and geometric morphometrics, this study reveals that *Astyanax* sp. in Colombia's Magdalena basin comprises two distinct cryptic lineages exhibiting significant genetic and phenotypic differentiation, thereby highlighting the need for targeted conservation strategies amidst hydroelectric threats.
This study reports the first successful birth of a cloned golden wild yak via interspecific somatic cell nuclear transfer, achieved by generating vitrified blastocysts from 4,800m-altitude donor cells in Beijing and transferring them to domestic yak surrogates at 4,200m altitude in Xizang, thereby establishing a viable conservation strategy for this critically endangered high-altitude species.
This paper introduces EdgeMap, a method that integrates spatial transcriptomics with GWAS data to demonstrate that intercellular communication via specific ligand-receptor channels constitutes a distinct and heritable dimension of human tissue architecture that complements traditional cell-intrinsic genetic risk models.
This study utilizes *Drosophila* models to demonstrate that different *NLGN3* autism-associated variants exert distinct functional impacts on synaptic architecture and sleep behavior, suggesting that de novo variants in females act primarily as gain-of-function mutations while maternally inherited variants exhibit mixed loss- and gain-of-function effects, thereby contributing to the phenotypic heterogeneity observed in autism spectrum disorder.
This multivariate twin study of 5,212 individuals reveals that while the Mental Health Continuum and other wellbeing measures share substantial genetic overlap, their underlying genetic architecture is multidimensional rather than driven by a single common factor, with the Mental Health Continuum best explained by its three distinct subscales.