Published July 17, 2023 | Version v1
Dataset Open

Data from: Parallel shifts in trout feeding morphology suggest rapid adaptation to alpine lake environments

Description

Eco-evolutionary interactions following ecosystem change provide critical insight into the ability of organisms to adapt to shifting resource landscapes. Here we explore evidence for the rapid parallel evolution of trout feeding morphology following eco-evolutionary interactions with zooplankton in alpine lakes stocked at different points in time in the Wind River Range (Wyoming, USA). In this system, trout predation has altered the zooplankton species community and driven a decrease in average zooplankton size. In some lakes that were stocked decades ago, we find shifts in gill raker traits consistent with the hypothesis that trout have rapidly adapted to exploit available smaller-bodied zooplankton more effectively. We explore this morphological response in multiple lake populations across two species of trout (cutthroat trout, Oncorhynchus clarkii, and golden trout Oncorhynchus aguabonita) and examine the impact of resource availability on morphological variation in gill raker number among lakes. Furthermore, we present genetic data to provide evidence that historically stocked cutthroat trout populations likely derive from multiple population sources, and incorporate variation from genomic relatedness in our exploration of environmental predictors of feeding morphology. These findings describe rapid adaptation and eco-evolutionary interactions in trout and document an evolutionary response to novel, contemporary ecosystem change.

Notes

R (R Core Team, 2012) and R Studio (Allaire, 2009). Google Earth (Google Earth Pro, v7.3.4, accessed 2022). Google Earth Engine (Gorelick et al. 2017). 

Funding provided by: Science Initiative Seed Grants*
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Funding provided by: University of Wyoming
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100008106
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Funding provided by: National Institute of General Medical Sciences
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000057
Award Number: P20GM103432

Funding provided by: National Science Foundation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001
Award Number: DEB-1556963

Funding provided by: U.S. Forest Service
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100006959
Award Number: 17-CS-11021400-012

Funding provided by: Wyoming INBRE*
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Funding provided by: Wyoming Game and Fish Department*
Crossref Funder Registry ID:
Award Number: 002433

Funding provided by: US Fish and Wildlife Service
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000202
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Funding provided by: University of Wyoming
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100008106
Award Number:

Funding provided by: UWyo Advanced Research Computing Center (2022) Teton Computing Environment, Intel x86_64 cluster. https://doi.org/10.15786/M2FY47*
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Funding provided by: U.S. Forest Service
Award Number: 17-CS-11021400-012

Funding provided by: American Fisheries Society Eugene-Maughan Scholarship*
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Funding provided by: American Society of Ichthyologists and Herpetologists Edward C. Raney Fund*
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Additional details

Related works

Is cited by
10.1093/evolut/qpad059 (DOI)