Published March 11, 2025 | Version v1
Journal article Open

Genetic, developmental, and neural changes underlying the evolution of butterfly mate preference

Description

Many studies have linked genetic variation to behavior, but few connect to the intervening neural circuits that underlie the arc from sensation to action. Here, we used a combination of genome-wide association (GWA), developmental gene expression, and photoreceptor electrophysiology to investigate the architecture of mate choice behavior in Heliconius cydno butterflies, a clade where males identify preferred mates based on wing color patterns. We first found that the GWA variants most strongly associated with male mate choice were tightly linked to the gene controlling wing color in the K locus, consistent with previous mapping efforts. RNA-seq across developmental time points then showed that seven genes near the top GWA peaks were differentially expressed in the eyes, optic lobes, or central brain of white and yellow H. cydno males, many of which have known functions in the development and maintenance of synaptic connections. In the visual system of these butterflies, we identified a striking physiological difference between yellow and white males that could provide an evolutionarily labile circuit motif in the eye to rapidly switch behavioral preference. Using single-cell electrophysiology recordings, we found that some ultraviolet (UV)-sensitive photoreceptors receive inhibition from long-wavelength photoreceptors in the male eye. Surprisingly, the proportion of inhibited UV photoreceptors was strongly correlated with male wing color, suggesting a difference in the early stages of visual processing that could plausibly influence courtship decisions. We discuss potential links between candidate genes and this physiological signature, and suggest future avenues for experimental work. Taken together, our results support the idea that alterations to the evolutionarily labile peripheral nervous system, driven by genetic and gene expression differences, can significantly and rapidly alter essential behaviors.

Data availability

Raw sequencing data are publicly available through NCBI BioProjects and PRJNA802836 (DNA-seq data) and PRJNA1019262 (RNA-seq data). Genome assembly, genome annotation, genome-wide association data and analyses, RNA-seq data and analyses, and raw electrophysiology data are available through Dryad at https://doi.org/10.5061/dryad.z8w9ghxjz. This repository also includes R notebooks and all custom code required to recapitulate the results presented in this manuscript.

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Additional details

Identifiers

DOI
10.1371/journal.pbio.3002989
Other
oai:uchicago.tind.io:14723

Funding

National Science Foundation
EAPSI 1515295
Unknown funder
Dubner Fellowship
University of Chicago
National Institute of General Medical Sciences
R35 GM131828
National Science Foundation
IOS-1452648
National Science Foundation
IOS-1922624

UChicago Information

Division(s)
Biological Sciences Division, Physical Sciences Division
Department(s)
Ecology and Evolution, Organismal Biology and Anatomy, Physics