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.
This meta-analysis demonstrates that evolutionary parallelism in local adaptation between native and introduced plant ranges strengthens over time, driven primarily by the alignment of divergence directions as introduced populations transition from initial drift to selection-driven adaptation.
This study introduces a novel phylogenetic comparative method to analyze trait covariation in surgeonfishes, revealing that dietary ecotypes drive body and head shape evolution while locomotor tradeoffs create a significant negative correlation between caudal and pectoral fin shapes.
This paper introduces novel linear-time algorithms to overcome previous computational limitations, enabling the creation of a fully-dated, time-scaled phylogenetic tree of 2.3 million species to significantly expand the scope of evolutionary analyses.
TaxonMatch is a tool designed to integrate heterogeneous taxonomic data from diverse biological databases by resolving nomenclatural inconsistencies and synonymy, thereby enabling the construction of unified taxonomic backbones for applications such as linking molecular data to fossils and identifying endangered species.
This study demonstrates that while intrinsic information sources like mechanical stress and cell age can facilitate the evolution of early multicellular life cycles, they face inherent trade-offs between flexibility and regularity that significantly limit the ability of nascent organisms to evolve tightly regulated and diverse reproductive strategies without further evolutionary innovations.
This study utilizes an age-specific R0 model to demonstrate that global population aging will differentially alter optimal pathogen virulence and mortality rates by 2050, driving increases in specific regions for diseases like Ebola and Measles while decreasing them in others due to changes in host recovery and infection duration.
Despite sharing highly conserved structures and functions, influenza hemagglutinin subtypes exhibit significantly divergent sequence constraints, with approximately half of their sites showing distinct amino acid preferences driven by differences in buried residues and rewired local interactions.
By applying the newly introduced marginal Akaike information criterion (mAIC) to diverse empirical datasets, this study demonstrates that mixture models universally outperform partitioned models for phylogenetic analyses of amino acid data, highlighting the importance of further developing mixture models for accurate evolutionary inference.
This study demonstrates that threespine sticklebacks have rapidly and repeatedly evolved adaptive expansions of the *MYH3C* gene family on their sex chromosome through tandem duplications, resulting in increased muscle gene expression and distinct ecological divergence between freshwater and marine populations.
This study characterizes the divergent early transcriptional signatures of the wheat pathogen *Gaeumannomyces tritici* and its protective endophyte relative *G. hyphopodioides*, revealing that the endophyte undergoes significant reprogramming and stress responses linked to vesicle formation and effector upregulation, while the pathogen employs a stealthy strategy of gene downregulation and lignin degradation to evade host defenses.