337 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 convergent evolution of amylase expression in diverse primate lineages arose through independent genomic rearrangements driven by retrotransposon insertions and non-allelic homologous recombination, leading to distinct gene copies with similar functional outcomes.
This study evaluates the performance of three geometric morphometric methods—elliptical Fourier analysis, landmark-based geometric morphometrics, and the ShellShaper growth model—using *Littorina saxatilis* ecotypes to provide evidence-based guidelines for selecting the most appropriate technique based on specific research goals, such as high-throughput screening, clustering power, or detailed anatomical analysis.
By integrating developmental, molecular, ultrastructural, and connectomic analyses of *Malacoceros fuliginosus*, this study reveals that its diverse cerebral eyes are homologous, inverted rhabdomeric structures that likely originated from an ancestral duplication event, providing a unified framework for understanding annelid eye evolution.
This study demonstrates that frequency-dependent fitness effects are ubiquitous in *E. coli* populations, challenging the assumption of constant selection by revealing that competitive advantages typically decline as mutant frequency increases and that these dynamics significantly alter evolutionary trajectories.
This study utilizes comprehensive genomic analyses to reveal that the widely studied ctenophore *Mnemiopsis leidyi* actually comprises two distinct cryptic species, *M. leidyi* and *M. gardeni*, which diverged during the Pleistocene and are shaped by genomic rearrangements and environmental adaptation along the US Atlantic coast.
Using machine learning to analyze *Aedes aegypti* populations from Africa and the Americas, this study reveals that soft selective sweeps predominate over hard sweeps, indicating the mosquito's rapid adaptive potential to environmental stressors like insecticides and highlighting specific resistance genes critical for vector control.
This study reveals that the ciliate *Paramecium sonneborni* has repeatedly overcome extreme genetic divergence barriers through interspecific mating and genomic introgression, a process facilitated by its unique nuclear dualism which allows the elimination of incompatible foreign DNA from the somatic genome while retaining it in the germline.
This study presents the first large-scale population genomic survey of wild house mice, utilizing a novel bioinformatics pipeline to identify over 100,000 non-reference endogenous retrovirus insertions, thereby revealing significant subspecies-specific diversity and highlighting the role of these dynamic elements in structural variation and adaptive evolution, such as the adaptive introgression of the resistance-conferring Fv4 locus.
By generating chromosome-level genomes and integrating multi-omics analyses, this study reveals how *Stemona* species evolved distinct fatty acid partitioning mechanisms between elaiosomes and seeds to produce specific attractants and nutrients that facilitate the transition from ant- to wasp-mediated seed dispersal.
This global study demonstrates that publicly available single-locus genetic data can effectively map bat phylogenetic diversity and reveals that historical and current temperature variables are the primary drivers of these patterns, with Southeast Asia and South America identified as key hotspots for conservation.