158 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 study utilizes human polymorphism data to demonstrate that germline mutation rates at CpG sites are shaped by a complex interplay between cytosine methylation status and flanking nucleotide sequences, revealing both conserved intrinsic mutability patterns and lineage-specific evolutionary changes in DNA repair mechanisms.
An analysis of 12,888 STEC genomes in England from 2016 to 2024 reveals a significant temporal shift toward non-O157 serogroups, particularly O26:H11 and O145:H28, driven by the widespread and increasing prevalence of the high-risk stx2a toxin subtype, underscoring the critical value of genomic surveillance for monitoring emerging public health threats.
This study demonstrates that bleomycin induces active-centromere DNA damage and incomplete repair in fibroblasts, leading to centromeric chromatin mislocalization into the cytoplasm, which mirrors genomic instability features observed in systemic sclerosis.
This study presents the first genome-wide in vivo screen identifying 146 conserved *Streptococcus* genes and pathways essential for infective endocarditis fitness, revealing broad evolutionary conservation and novel targets for multi-target antimicrobial strategies.
This study identifies a genetic variant (rs17437411) that disrupts a newly characterized homeotic long noncoding RNA called HOTSCRAMBL, which is essential for regulating HOXA gene expression, maintaining hematopoietic stem cell self-renewal, and supporting the development of HOXA-dependent acute myeloid leukemias.
This study utilizes a stochastic agent-based model to demonstrate that the population structure of *Plasmodium falciparum* and the reliability of genomic surveillance metrics are determined not by transmission intensity alone, but by its complex, nonlinear interaction with standing genetic diversity across a transmission gradient.
Heterologous expression of the human cohesin complex in *Saccharomyces cerevisiae* fails to rescue yeast cohesin mutants and instead induces a dominant-negative phenotype by forming dysfunctional hybrid complexes with endogenous yeast cohesin rings, leading to cohesion dysregulation and DNA damage sensitivity.
The paper introduces ARGMix, a graph transformer that leverages ancient DNA within an ancestral recombination graph framework to significantly improve the accuracy and robustness of local ancestry inference, particularly for older admixture events where traditional segment-based methods struggle.
This study proposes reclassifying glycopeptide antibiotics into the broader class of xyclopeptides, subdivided into dalabactins (classical types I–IV) and murobactins (type V), based on structural and evolutionary analyses that reveal a fundamental divergence between these two groups.
This paper introduces and validates a novel statistical model using the expectation-maximization algorithm to accurately estimate population-level frequencies of *Plasmodium falciparum* haplotypes with *Pfhrp2/3* deletions, overcoming the limitations of standard molecular assays in detecting these deletions within mixed-clone infections.