194 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 reveals that asymmetric PRDM9 binding in hybrid mice triggers asynapsis and meiotic silencing, leading to widespread fertility defects and aneuploidy, with individual sensitivity to these disruptions largely controlled by a specific locus on chromosome 15 containing Dmc1 and Mei1.
This study reveals that mTOR regulates organismal longevity in *C. elegans* through a conserved neuroendocrine mechanism where its downregulation increases bile acid-like dafachronic acid production, which in turn activates the nuclear receptor DAF-12 and the dehydrogenase DHS-26/DHRS1 to extend lifespan.
CN-RNN is a novel deep learning framework that integrates bidirectional LSTM and multi-layer perceptron branches to accurately detect copy number variations from whole-exome sequencing data, outperforming existing methods by effectively combining local depth changes with region-level genomic features.
This study utilized multi-environment trials and statistical modeling to identify stable, high-yielding, and early-maturing fonio genotypes suitable for expanding cultivation into the Sudanian and Sudano-Guinean zones of Northern Benin, while also pinpointing key environmental factors influencing grain yield.
This study demonstrates that natural variation in pericentromeric repeat copy number in fission yeast tunes heterochromatin dosage, where larger repeats act as sinks for limiting regulatory factors to compromise chromosome segregation under stress and alter gene expression.
This study characterizes the transcriptomic landscapes of two newly established *Rhodnius prolixus* embryo-derived cell lines (RPE/LULS53 and RPE/LULS57), revealing distinct gene expression profiles and cellular phenotypes that provide valuable resources for future genetic and functional research on this Chagas disease vector.
CRISPRtile is a cloud-based AI platform that overcomes the limitations of conventional structure-based drug design by generating high-accuracy functional and toxicity landscapes from CRISPR data to enable the systematic discovery of safe, brain-penetrant drug modulators, as demonstrated by its successful mapping of the NLRP3 inflammasome.
This study demonstrates that a modified haplotype-based likelihood framework, saltiLASSI, outperforms traditional site frequency spectrum methods in detecting selective sweeps within ancient populations with complex demographic histories, particularly when sweeps involve admixture or recent selection events.
The paper introduces SIQReg, a data-driven method that optimizes phenotype scales in large-scale biobanks to eliminate statistical artifacts and significantly enhance the power and accuracy of both additive and non-additive genetic analyses.
This study establishes the first genome-wide CRISPR-Cas9 knockout screening platform in the Lyme disease vector *Ixodes scapularis*, successfully identifying genes essential for cellular fitness and resistance to specific stressors to provide the first large-scale experimental evidence of gene function in this tick species.