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Sensory adaptation is widely hypothesized to drive ecological speciation, yet empirical evidence from natural populations undergoing early stage divergence remains limited. In Lake Masoko, a young crater lake in East Africa, the haplochromine cichlid Astatotilapia calliptera is undergoing early stage sympatric speciation into shallow-water littoral and deep-water benthic ecotypes that experience contrasting light environments. Here, we integrate retinal transcriptomics, phenotypic analyses, and visual modeling to uncover rapid sensory divergence associated with this ecological transition. We find striking shifts in cone opsin expression, with the benthic ecotype exhibiting a switch from short-wavelength sensitive SWS2B to SWS2A and an overall narrowing of cone sensitivity toward the center of the light spectrum, consistent with changes in deep-water light environment. In contrast, coding sequence variation in opsin genes was limited and no significant differences in allele frequencies were detected across nine polymorphic sites, pointing to expression regulation as the primary axis of early divergence in visual systems. In parallel, we observed divergence in male signaling traits, with benthic males displaying deeper red egg-spots, aligning with predictions from visual modeling of signal efficiency in different light environments. These results demonstrate rapid transcriptomic and phenotypic divergence in associated signaling traits-within ∼1,000 years-supporting a potential role for regulatory evolution in sensory adaptation during early ecological speciation.
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http://dx.doi.org/10.1093/molbev/msaf204 | DOI Listing |
Acta Neurochir (Wien)
September 2025
Faculty of Medicine, The University of Queensland, Herston, QLD, 4006, Australia.
Background: Identifying haemodynamic factors associated with thin-walled regions (TWRs) of intracranial aneurysms is critical for improving pre-surgical rupture risk assessment. Intraoperatively, these regions are visually distinguished by a red, translucent appearance and are considered highly rupture prone. However, current imaging modalities lack the resolution to detect such vulnerable areas preoperatively.
View Article and Find Full Text PDFAnimals in different ecological niches have evolved different sensory capacities to detect behaviorally relevant sensory signals. How behavioral algorithms and neural networks adapt to environmental demands remains unknown. We compared spatiotemporal visual motion processing in larval zebrafish ( ) and medaka ( ) using whole-field motion stimuli.
View Article and Find Full Text PDFFront Neurol
August 2025
Department of Magnetic Resonance, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.
Neuroimaging studies have identified brain structural and functional alterations in HIV-infected patients; however, the results are inconsistent. This study aimed to characterize the effects of HIV infection on regional gray matter volume (GMV) and resting-state brain activity, and to further investigate the relations between abnormalities in these two modalities. We conducted voxel-wise meta-analysis of voxel-based morphometry (VBM) and functional studies, respectively, to identify regional GMV and brain activity alterations in HIV-infected patients.
View Article and Find Full Text PDFBrain Behav
September 2025
Université De Lorraine, Inserm, IADI, Nancy, France.
Introduction: Odor imagery (OI), or the ability to mentally simulate the presence of a smell, is a difficult cognitive function and is therefore misunderstood in terms of its neural underpinnings. In particular, the diverging results obtained in neuroimaging studies could be explained in part by the characteristics of the visual cues used to trigger this task. In this study, we investigated this question by comparing the effects of plain color patches, pictures, and words during OI using neurophysiological and psychometrical measurements.
View Article and Find Full Text PDFNAR Genom Bioinform
September 2025
Ecologie Société et Evolution, CNRS, Universite Paris-Saclay, AgroParisTech, 91198 Gif-sur-Yvette, France.
New reference genomes and transcriptomes are increasingly available across the tree of life, opening new avenues to tackle exciting questions. However, there are still challenges associated with annotating genomes and inferring evolutionary processes and with a lack of methodological standardisation. Here, we propose a new workflow designed for evolutionary analyses to overcome these challenges, facilitating the detection of recombination suppression and its consequences in terms of rearrangements and transposable element accumulation.
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