295 papers
Evolutionary biology explores the dynamic history of life on Earth, tracing how species change, adapt, and diversify over time. This field investigates the mechanisms driving everything from the development of antibiotic resistance in bacteria to the complex social behaviors of primates, revealing the deep connections that bind all living organisms together.
On Gist.Science, we ensure these groundbreaking discoveries remain accessible by processing every new preprint uploaded to bioRxiv in this category. Our team generates both plain-language overviews and detailed technical summaries for each paper, bridging the gap between raw research and public understanding without requiring a specialized background.
Below are the latest studies in evolutionary biology, offering fresh insights into the ongoing story of life.
This study demonstrates that somatic Programmed DNA Elimination is widespread across the Rhabditidae family of free-living nematodes, having been identified in 17 out of 25 newly screened species and 12 of the 17 tested genera, thereby providing a diverse collection of genetically tractable models to investigate the mechanisms and evolutionary origins of this phenomenon.
By integrating phylogenomic data from 490 nuclear loci and mitochondrial genomes with a fossilized birth-death dating model, this study reveals that while the Cicadidae family originated in the Cretaceous, four of its five subfamilies underwent extensive worldwide diversification shortly after the Cretaceous-Paleogene mass extinction.
This study demonstrates that genome architecture, specifically chromosome number and gene-gene interactions, jointly dictates the repeatability of polygenic adaptation, with high chromosome counts facilitating parallel evolutionary responses through recombination-driven assembly of coadapted alleles, whereas chromosomal fusions in low-count genomes can constrain repeatability by linking alternative haplotypes.
This study utilizes simulations to demonstrate that population genomic statistics, particularly Tajima's D and segregating sites, are effective tools for detecting mosquito population declines in cluster randomized control trials, recommending a design of 3 to 5 villages per arm to achieve adequate statistical power for monitoring genetic biocontrol interventions.
This paper proposes a framework integrating pharmacodynamics and population genetics to explain the non-repeatable and unidirectional patterns of collateral effects observed during drug resistance evolution, demonstrating how drug concentration and selection regimes critically influence these evolutionary outcomes.
WINDEX is a novel hierarchical method that integrates site- and window-based statistics to more accurately detect and localize adaptive mutations and estimate the proportion of genomes under positive selection compared to existing approaches.
This study utilizes long-read and short-read sequencing to identify species-specific structural variants in North American deer, revealing that these genomic changes, particularly those affecting reproduction and sensory adaptation, likely play a significant role in adaptive divergence and reproductive isolation during speciation.
This study reveals that brain-related traits, including psychiatric disorders, exhibit distinct genetic architectures characterized by weaker GWAS associations and higher allele frequencies due to strong selective constraints acting on their large mutational target sizes, suggesting that the tissues mediating complex traits fundamentally shape their genetic underpinnings.
By developing an evolutionarily informed gene-set framework to analyze single-cell data across eleven vertebrate species, this study reveals that forebrain evolution proceeds through lineage-specific tuning of deeply conserved transcriptional programs within stable cellular architectures rather than the emergence of entirely new cell types.
By analyzing the distribution of fitness effects across 38 catarrhine primates, this study demonstrates that interspecific differences in deleterious mutations are primarily driven by variation in effective population size rather than clade-specific factors, supporting the nearly neutral theory and confirming the robustness of these findings to demographic history and dominance effects.