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Wild flies hedge their thermal preference bets in response to seasonal fluctuations

Akhund-Zade, Jamilla and Yoon, Denise and Bangerter, Alyssa and Polizos, Nikolaos and Campbell, Matthew and Soloshenko, Anna and Zhang, Thomas and Wice, Eric and Albright, Ashley and Narayanan, Aditi and Schmidt, Paul and Saltz, Julia and Ayroles, Julien and Klein, Mason and Bergland, Alan and de Bivort, Benjamin (2020) Wild flies hedge their thermal preference bets in response to seasonal fluctuations. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20200923-100354756

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Abstract

Fluctuating environmental pressures can challenge organisms by repeatedly shifting the optimum phenotype. Two contrasting evolutionary strategies to cope with these fluctuations are 1) evolution of the mean phenotype to follow the optimum (adaptive tracking) or 2) diversifying phenotypes so that at least some individuals have high fitness in the current fluctuation (bet-hedging). Bet-hedging could underlie stable differences in the behavior of individuals that are present even when genotype and environment are held constant. Instead of being simply ‘noise,’ behavioral variation across individuals may reflect an evolutionary strategy of phenotype diversification. Using geographically diverse wild-derived fly strains and high-throughput assays of individual preference, we tested whether thermal preference variation in Drosophila melanogaster could reflect a bet-hedging strategy. We also looked for evidence that populations from different regions differentially adopt bet-hedging or adaptive-tracking strategies. Computational modeling predicted regional differences in the relative advantage of bet-hedging, and we found patterns consistent with that in regional variation in thermal preference heritability. In addition, we found that temporal patterns in mean preference support bet-hedging predictions and that there is a genetic basis for thermal preference variability. Our empirical results point to bet-hedging in thermal preference as a potentially important evolutionary strategy in wild populations.


Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription
https://doi.org/10.1101/2020.09.16.300731DOIDiscussion Paper
https://zenodo.org/record/4026736Related ItemData/Code
http://lab.debivort.org/variability-reflects-bet-hedgingRelated ItemData/Code
ORCID:
AuthorORCID
Akhund-Zade, Jamilla0000-0001-5589-8258
Yoon, Denise0000-0003-0597-6822
Polizos, Nikolaos0000-0002-8494-6711
Wice, Eric0000-0001-5406-0314
Albright, Ashley0000-0002-7163-9640
Narayanan, Aditi0000-0003-0627-1859
Schmidt, Paul0000-0002-8076-6705
Saltz, Julia0000-0002-0645-173X
Ayroles, Julien0000-0001-8729-0511
Klein, Mason0000-0001-8211-077X
Bergland, Alan0000-0001-7145-7575
de Bivort, Benjamin0000-0001-6165-7696
Additional Information: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. This version posted September 20, 2020. We thank Nick Keiser, Alex Keene, Sophie Caron, John Tuthill, and Rob Unckless for kindly supplying wild-derived isofemale lines. Brian J. Arnold and Luisa Pallares provided invaluable assistance with sequencing data analysis and Elena Filippova provided expert help with genomic library preparation. We thank Edward Soucy and Brett Graham of the Center for Brain Science Neurotechnology Core for help with instrument manufacturing and design. JAZ was supported by The NSF-Simons Center for Mathematical and Statistical Analysis of Biology at Harvard, award number #1764269 and the Harvard Quantitative Biology Initiative. BdB was supported by a Sloan Research Fellowship, a Klingenstein-Simons Fellowship Award, a Smith Family Odyssey Award, a Harvard/MIT Basic Neuroscience Grant, the NSF under grant no. IOS-1557913, and the NIH under grant no. MH119092. The authors declare no competing interests.
Funders:
Funding AgencyGrant Number
NSFDMS-1764269
Harvard UniversityUNSPECIFIED
Alfred P. Sloan FoundationUNSPECIFIED
Klingenstein-Simons FoundationUNSPECIFIED
Smith Family Odyssey AwardUNSPECIFIED
Harvard/MIT Basic Neuroscience GrantUNSPECIFIED
NSFIOS-1557913
NIHMH119092
Subject Keywords:intragenotypic behavioral variability, Drosophila melanogaster, bet-hedging, seasonal weather, wild populations, heritability, adaptive tracking, evolution
Record Number:CaltechAUTHORS:20200923-100354756
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20200923-100354756
Official Citation:Wild flies hedge their thermal preference bets in response to seasonal fluctuations. Jamilla Akhund-Zade, Denise Yoon, Alyssa Bangerter, Nikolaos Polizos, Matthew Campbell, Anna Soloshenko, Thomas Zhang, Eric Wice, Ashley Albright, Aditi Narayanan, Paul Schmidt, Julia Saltz, Julien Ayroles, Mason Klein, Alan Bergland, Benjamin de Bivort. bioRxiv 2020.09.16.300731; doi: https://doi.org/10.1101/2020.09.16.300731
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:105485
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:23 Sep 2020 18:26
Last Modified:23 Sep 2020 18:26

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