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Beausoleil MO, Carrión PL, Podos J, Camacho C, Rabadán-González J, Richard R, Lalla K, Raeymaekers JAM, Knutie SA, De León LF, Chaves JA, Clayton DH, Koop JAH, Sharpe DMT, Gotanda KM, Huber SK, Barrett RDH, Hendry AP. The fitness landscape of a community of Darwin's finches. Evolution 2023; 77:2533-2546. [PMID: 37671423 DOI: 10.1093/evolut/qpad160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 06/22/2023] [Accepted: 08/31/2023] [Indexed: 09/07/2023]
Abstract
Divergent natural selection should lead to adaptive radiation-that is, the rapid evolution of phenotypic and ecological diversity originating from a single clade. The drivers of adaptive radiation have often been conceptualized through the concept of "adaptive landscapes," yet formal empirical estimates of adaptive landscapes for natural adaptive radiations have proven elusive. Here, we use a 17-year dataset of Darwin's ground finches (Geospiza spp.) at an intensively studied site on Santa Cruz (Galápagos) to estimate individual apparent lifespan in relation to beak traits. We use these estimates to model a multi-species fitness landscape, which we also convert to a formal adaptive landscape. We then assess the correspondence between estimated fitness peaks and observed phenotypes for each of five phenotypic modes (G. fuliginosa, G. fortis [small and large morphotypes], G. magnirostris, and G. scandens). The fitness and adaptive landscapes show 5 and 4 peaks, respectively, and, as expected, the adaptive landscape was smoother than the fitness landscape. Each of the five phenotypic modes appeared reasonably close to the corresponding fitness peak, yet interesting deviations were also documented and examined. By estimating adaptive landscapes in an ongoing adaptive radiation, our study demonstrates their utility as a quantitative tool for exploring and predicting adaptive radiation.
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Affiliation(s)
| | - Paola Lorena Carrión
- Redpath Museum and Department of Biology, McGill University, Montréal, Québec, Canada
| | - Jeffrey Podos
- Department of Biology, University of Massachusetts Amherst, Amherst, MA, United States
| | - Carlos Camacho
- Department of Ecology and Evolution, Estación Biológica de Doñana-CSIC, Sevilla, Spain
| | | | - Roxanne Richard
- Redpath Museum and Department of Biology, McGill University, Montréal, Québec, Canada
| | - Kristen Lalla
- Department of Natural Resource Sciences, McGill University, Sainte-Anne-de-Bellevue, Québec, Canada
| | | | - Sarah A Knutie
- Department of Ecology and Evolutionary Biology, Institute for Systems Genomics, University of Connecticut, Storrs, CT, United States
| | - Luis F De León
- Department of Biology, University of Massachusetts Boston, Boston, MA, United States
| | - Jaime A Chaves
- Department of Biology, San Francisco State University, San Francisco, CA, United States
- Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito, Quito, Ecuador
| | - Dale H Clayton
- School of Biological Sciences, University of Utah, Salt Lake City, UT, United States
| | - Jennifer A H Koop
- Department of Biological Sciences, Northern Illinois University, DeKalb, IL, United States
| | - Diana M T Sharpe
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, United States
| | - Kiyoko M Gotanda
- Redpath Museum and Department of Biology, McGill University, Montréal, Québec, Canada
- Department of Biological Sciences, Brock University, St. Catharines, Ontario, Canada
- Department of Zoology, University of Cambridge, United Kingdom
- Département de biologie, Université de Sherbrooke, Québec, Canada
| | - Sarah K Huber
- Virginia Institute of Marine Science, William and Mary, Gloucester Point, VA, United States
| | - Rowan D H Barrett
- Redpath Museum and Department of Biology, McGill University, Montréal, Québec, Canada
| | - Andrew P Hendry
- Redpath Museum and Department of Biology, McGill University, Montréal, Québec, Canada
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