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Non-parallel transcriptional divergence during parallel adaptation

View ORCID ProfileEva K Fischer, Youngseok Song, View ORCID ProfileKimberly A Hughes, Wen Zhou, View ORCID ProfileKim L Hoke
doi: https://doi.org/10.1101/761619
Eva K Fischer
1Department of Biology, Stanford University, Stanford, CA 94305, USA
2Department of Biology, Colorado State University, Fort Collins, CO 80523, USA
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  • For correspondence: efisch@stanford.edu
Youngseok Song
3Department of Statistics, Colorado State University, Fort Collins, CO 80523, USA
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Kimberly A Hughes
4Department of Biological Science, Florida State University, Tallahassee, FL 32306 USA
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Wen Zhou
3Department of Statistics, Colorado State University, Fort Collins, CO 80523, USA
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Kim L Hoke
2Department of Biology, Colorado State University, Fort Collins, CO 80523, USA
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Abstract

Mechanisms linking genotype to phenotype must simultaneously buffer organisms from developmental noise and allow for phenotypic plasticity in response to environmental cues. How mechanistic robustness and flexibility in biological systems 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 transcriptional evolution during parallel adaptation. We observed substantial phenotypic plasticity in gene expression patterns as well as evolution of gene expression plasticity across populations. Although transcripts exhibiting expression plasticity within populations were more likely to differ in expression between populations, we found no consistent relationship between the direction of plasticity and evolutionary divergence. Similarly, while we found more overlap than expected by chance in genes differentially expressed between high- and low-predation populations from distinct lineages, the direction of expression divergence was uncoupled in the two drainages, and the majority of differentially expressed genes were not shared between lineages. Our data highlight transcriptional versatility associated with parallel phenotypic divergence in independent evolutionary lineages of a species known for rapid adaptation.

Footnotes

  • The name of one of the authors was incorrect in the author section and on the manuscript. The fourth author publishes under "Wen Zhou". Thank you.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted September 09, 2019.
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Non-parallel transcriptional divergence during parallel adaptation
Eva K Fischer, Youngseok Song, Kimberly A Hughes, Wen Zhou, Kim L Hoke
bioRxiv 761619; doi: https://doi.org/10.1101/761619
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Non-parallel transcriptional divergence during parallel adaptation
Eva K Fischer, Youngseok Song, Kimberly A Hughes, Wen Zhou, Kim L Hoke
bioRxiv 761619; doi: https://doi.org/10.1101/761619

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