389 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.
The paper introduces InPhyNet, a novel method that achieves linear scalability and high accuracy in inferring phylogenetic networks for large datasets by merging independently inferred sub-networks, thereby overcoming the computational limitations of existing model-based approaches while providing biologically meaningful insights into complex evolutionary histories.
This paper introduces SNaQ.jl, a new Julia package that significantly enhances the scalability and computational efficiency of phylogenetic network inference through parallelization, weighted random quartet selection, and probabilistic decision-making, achieving up to a 499% reduction in runtime without compromising accuracy.
This study presents the first high-throughput proteomic characterization of the sperm and seminal fluid in the bedbug *Cimex lectularius*, revealing unique evolutionary patterns such as elevated molecular evolution rates and an ancient expansion of Sperm-leucylaminopeptidases (S-Laps) that likely adapt to the species' traumatic insemination strategy.
This study utilizes mtDNA analysis of 132 elderly Ameru males to reveal a heterogeneous maternal genetic landscape characterized by diverse African origins (primarily L0–L4 haplogroups) and distinct subgroup histories, where communities like Imenti and Tigania exhibit unique lineages with potential Eurasian and Afro-Asiatic connections compared to the West and Central African ancestry prevalent in other Ameru subgroups.
This study demonstrates that hybridization between thermally adapted Icelandic stickleback populations disrupts metabolic and mitochondrial gene networks through transgressive expression, particularly under warmer conditions, highlighting how climate-driven mixing can generate maladaptive outcomes despite high phenotypic plasticity.
This paper presents a scalable extension of the SNaQ method that enables fast, composite-likelihood inference of arbitrary binary semi-directed phylogenetic networks beyond level-1, significantly improving the ability to reconstruct complex reticulate evolutionary histories such as hybridization and introgression from genomic data.
This study demonstrates that frequent seasonal reassortment between high- and low-pathogenicity influenza A/H5N1 viruses, driven by specific host and spatial dynamics in the Americas, is a predictable ecological process that generates novel genotypes with significant pandemic risk.
By reconstructing the protein interactome of the Last Eukaryotic Common Ancestor (LECA) through comparative genomics and large-scale proteomics, this study reveals ancient molecular complexes that illuminate the biochemical origins of modern genetic diseases, including new associations for bone density and congenital birth defects.
This paper proposes and validates through agent-based simulation that sexual selection functions as a mechanism for preserving evolutionary information by sustaining historically adaptive traits via Fisherian co-evolution, thereby enabling lineages to respond more efficiently to fluctuating environments compared to random mating.
This study presents a comprehensive transcriptomic atlas of 61 animal species across 13 phyla, revealing that while zygotic genome activation (ZGA) timing varies widely, it is universally predicted by the nuclear-to-cytoplasmic ratio and involves a flexible yet deeply conserved molecular program characterized by phylogenetically younger, shorter genes enriched in RNA processing.