Evolutionary constraint predicts the repeatability of transcriptional divergence during repeated adaptation
- 1University of California - San Diego
Abstract
The repeated evolution of similar phenotypes in response to shared ecological pressures provides striking examples of natural selection and raises broader questions about the predictability of evolution. Evolutionary constraint may shape this predictability, while the apparent extent of parallelism may also depend on the biological scale at which it is measured. When are adaptive solutions channeled along the same route? We addressed this question using three sympatric benthic-limnetic ecotype pairs of threespine stickleback (Gasterosteus aculeatus), characterizing gene expression in gill and liver from wild-caught fish. We tested whether proxies of pleiotropic and coding-sequence constraint predicted the repeatability of transcriptional divergence across lakes. At the gene level, differential expression was strongly biased toward parallel rather than antiparallel responses. At the functional level, numerous pathways showed parallel enrichment, but the conservation of their underlying member-gene responses varied substantially, indicating that similar functional outcomes can arise with differing degrees of gene-level concordance. Most importantly, several proxies of evolutionary constraint predicted transcriptional repeatability, particularly in gill: broadly expressed, highly connected, and more slowly evolving genes showed more stable expression responses across lakes, with similar relationships evident for repeated use of genes within functionally parallel pathways. Together, these results show that both gene-level constraint and biological scale contribute to variation in molecular repeatability and suggest that the predictability of repeated adaptation may reflect an interaction between genetic architecture, population-genetic context, and the level of biological organization at which parallelism emerges.
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BibTeX
@misc{tobias2026evolutionary,
title = {{Evolutionary constraint predicts the repeatability of transcriptional divergence during repeated adaptation}},
author = {Z. J. C. Tobias and D. Rennison},
howpublished = {bioRxiv},
year = {2026},
month = sep,
doi = {10.64898/2026.09.28.755181},
url = {https://www.biorxiv.org/content/10.64898/2026.09.28.755181v1},
note = {CC BY},
}
RIS
TY - UNPB
TI - Evolutionary constraint predicts the repeatability of transcriptional divergence during repeated adaptation
AU - Z. J. C. Tobias
AU - D. Rennison
PY - 2026
DA - 2026/09/28
PB - bioRxiv
DO - 10.64898/2026.09.28.755181
UR - https://www.biorxiv.org/content/10.64898/2026.09.28.755181v1
AB - The repeated evolution of similar phenotypes in response to shared ecological pressures provides striking examples of natural selection and raises broader questions about the predictability of evolution. Evolutionary constraint may shape this predictability, while the apparent extent of parallelism may also depend on the biological scale at which it is measured. When are adaptive solutions channeled along the same route? We addressed this question using three sympatric benthic-limnetic ecotype pairs of threespine stickleback (Gasterosteus aculeatus), characterizing gene expression in gill and liver from wild-caught fish. We tested whether proxies of pleiotropic and coding-sequence constraint predicted the repeatability of transcriptional divergence across lakes. At the gene level, differential expression was strongly biased toward parallel rather than antiparallel responses. At the functional level, numerous pathways showed parallel enrichment, but the conservation of their underlying member-gene responses varied substantially, indicating that similar functional outcomes can arise with differing degrees of gene-level concordance. Most importantly, several proxies of evolutionary constraint predicted transcriptional repeatability, particularly in gill: broadly expressed, highly connected, and more slowly evolving genes showed more stable expression responses across lakes, with similar relationships evident for repeated use of genes within functionally parallel pathways. Together, these results show that both gene-level constraint and biological scale contribute to variation in molecular repeatability and suggest that the predictability of repeated adaptation may reflect an interaction between genetic architecture, population-genetic context, and the level of biological organization at which parallelism emerges.
ER -