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Natural genetic variation in Drosophila spans full range of predicted photoreceptor rhodopsin expression phenotypes

A bioRxiv preprint using wild and wild-derived Drosophila lines finds that standing genetic variation is sufficient to produce virtually every predicted qualitative change in Rh5/Rh6 expression in R8 photoreceptors, illustrating the breadth of phenotypic potential in natural populations.

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A fundamental question in evolutionary genetics is how much phenotypic variation standing genetic variation can generate without new mutations. A preprint posted to bioRxiv in June 2026 addresses this using the mutually exclusive Rhodopsin 5 (Rh5) and Rhodopsin 6 (Rh6) expression pattern in Drosophila R8 photoreceptors — a neuronal differentiation system in which a finite and enumerable set of qualitative phenotypic states can be defined.

Using wild flies and wild-derived inbred lines from the Drosophila Genome Reference Panel 2 (DGRP2), the authors report extensive variation in Rh5/Rh6 expression ratios, including shifts in the relative proportions of the two rhodopsin subtypes across the eye. Crucially, the observed variation was found to span essentially the full range of phenotypes predicted by the system's logic — suggesting that natural genetic variation alone can access the complete phenotypic space, without requiring new de novo mutations.

The findings contribute to ongoing discussions in population genetics and evolutionary biology about the role of standing variation in adaptation. The work is most relevant to researchers in evolutionary genetics, Drosophila biology, and quantitative genetics, as well as educators and students engaging with concepts of genotype–phenotype mapping and natural selection.

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  1. Primary sourcePreprint bioRxiv (Cold Spring Harbor Laboratory) · 2026-06-09
    Natural genetic variation spans all predicted Rh5/Rh6 expression phenotypes in Drosophila R8 photoreceptors

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drosophila standing-variation rhodopsin photoreceptors evolutionary-genetics quantitative-genetics preprint
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Genetic Current is the news section of Evagene, an academic, research, and educational pedigree-modelling platform. Stories are AI-drafted summaries of items from trusted public sources, written for researchers, clinicians, educators, students, genealogists, and patients with an interest in genetics. Summaries are for educational and research purposes only and are not medical advice.

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