Back

Transposable elements drive phenotypic variation and shape the response to environmental changes in Drosophila melanogaster

Larue, A.; Mauro, A.; Merenciano, M.; Janillon, S.; Blanchard, F.; Vallier, A.; Escanciano-Gomez, A.; Fackeure, M.; Hughes, S.; Gibert, P.; Ghalambor, C.; Chambeyron, S.; Rebollo, R.; Vieira, C.

2026-08-24 evolutionary biology
10.64898/2026.08.24.746693 bioRxiv
Show abstract

Transposable elements (TEs) are ubiquitous repetitive DNA sequences that can mobilise within genomes and may modulate gene expression in an environment-dependent manner. TEs and the safeguarding epigenetic machinery targeting them, can be tuned by environmental fluctuations to influence gene expression by inducing genomic, epigenetic, and transcriptomic changes. Yet, the degree to which TE-driven molecular diversity translate into inter-individual phenotypic variation vs accumulating without any phenotypic consequences remains unclear. Here, we used five populations of genetically engineered Drosophila melanogaster flies that carry variable TE content but share an otherwise identical genetic background to test the phenotypic consequences of the early stages of TE accumulation. Phenotypic screenings across 17 traits (fertility-related traits, life-history traits and stress resistance tests) revealed significant differences between the populations (e.g. reduced hatchability). We also observed a notable increase in intra-population phenotypic variation for the heavily TE-burdened populations across a wide panel of traits. These results suggest considerable TE-driven inter- and intra-population phenotypic variation. Further investigation revealed that variable TE contents can influence the response to environmental changes, positioning TEs as drivers of environmentally-induced phenotypic variation in a system deprived of other sources of genetic variation. These results provide empirical evidence that TEs contribute to the heterogeneity of the environmental response and therefore represent an underlying mechanism of phenotypic variation.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.