@article{e4ce7c7360444c39b56894633a66cde9,
title = "Nonparallel transcriptional divergence during parallel adaptation",
abstract = "How underlying mechanisms bias evolution toward predictable outcomes remains an area of active debate. In this study, we leveraged phenotypic plasticity and parallel adaptation across independent lineages of Trinidadian guppies (Poecilia reticulata) to assess the predictability of gene expression evolution during parallel adaptation. Trinidadian guppies have repeatedly and independently adapted to high- and low-predation environments in the wild. We combined this natural experiment with a laboratory breeding design to attribute transcriptional variation to the genetic influences of population of origin and developmental plasticity in response to rearing with or without predators. We observed substantial gene expression plasticity, as well as the evolution of expression plasticity itself, across populations. Genes exhibiting expression plasticity within populations were more likely to also differ in expression between populations, with the direction of population differences more likely to be opposite those of plasticity. While we found more overlap than expected by chance in genes differentially expressed between high- and low-predation populations from distinct evolutionary lineages, the majority of differentially expressed genes were not shared between lineages. Our data suggest alternative transcriptional configurations associated with shared phenotypes, highlighting a role for transcriptional flexibility in the parallel phenotypic evolution of a species known for rapid adaptation.",
keywords = "Poecilia reticulata, adaptation, parallel evolution, phenotypic plasticity, transcriptomics",
author = "Fischer, {Eva K.} and Youngseok Song and Hughes, {Kimberly A.} and Wen Zhou and Hoke, {Kim L.}",
note = "Funding Information: We thank the members of the Colorado State University Guppy Group for fish care, especially Sarah E. Westrick and Kimberly E. Dolphin for help with tissue collection. We thank Laura R. Stein for assistance with tissue processing and Cameron K. Ghalambor for fruitful discussions and feedback on earlier versions of the manuscript. We thank S{\'e}bastien Renaut and three anonymous reviewers for comments that improved the manuscript. All high‐powered computing was performed on the Odyssey computing cluster supported by the FAS Science Division Research Computing Group at Harvard University. This work was supported by the National Science Foundation DDIG‐1311680 (to EKF), RCN IOS‐1256839 (to EKF), IOS‐1354755 (to KLH), IOS‐1354775 (to KAH), IOS‐0934451 (to KAH), DEB‐0846175 (to CKG), IIS‐1545994 (to WZ), and US Department of Energy DE‐SC0018344 (to WZ). Funding Information: We thank the members of the Colorado State University Guppy Group for fish care, especially Sarah E. Westrick and Kimberly E. Dolphin for help with tissue collection. We thank Laura R. Stein for assistance with tissue processing and Cameron K. Ghalambor for fruitful discussions and feedback on earlier versions of the manuscript. We thank S?bastien Renaut and three anonymous reviewers for comments that improved the manuscript. All high-powered computing was performed on the Odyssey computing cluster supported by the FAS Science Division Research Computing Group at Harvard University. This work was supported by the National Science Foundation DDIG-1311680 (to EKF), RCN IOS-1256839 (to EKF), IOS-1354755 (to KLH), IOS-1354775 (to KAH), IOS-0934451 (to KAH), DEB-0846175 (to CKG), IIS-1545994 (to WZ), and US Department of Energy DE-SC0018344 (to WZ). Publisher Copyright: {\textcopyright} 2021 John Wiley & Sons Ltd",
year = "2021",
month = mar,
doi = "10.1111/mec.15823",
language = "English (US)",
volume = "30",
pages = "1516--1530",
journal = "Molecular ecology",
issn = "0962-1083",
publisher = "Wiley-Blackwell",
number = "6",
}