ArticleEvolution letters2020
Surprising spatiotemporal stability of a multi-peak fitness landscape revealed by independent field experiments measuring hybrid fitness.
Article in Evolution letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Tagging Very Small Fish: Two Effective and Low Impact Methods.Journal of experimental zoology. Part A, Ecological and integrative physiology · 2026Article
- Effect of Genetic Ancestry on Ecologically Important Fitness Traits in HybridizingEvolutionary applications · 2026Article
- Craniofacial-specific transcriptomics uncovers novel genes underlying jaw divergence in dietary specialist pupfishes.Genetics · 2025Article
- Using Fitness Surfaces to Better Link Conservation Breeding Programmes With Wild Population Recovery.Molecular ecology · 2025Review
- The Ecology of Hybrid Incompatibilities.Cold Spring Harbor perspectives in biology · 2024Review
- A multi-peak performance landscape for scale biting in an adaptive radiation of pupfishes.The Journal of experimental biology · 2024Article
- Competition-driven eco-evolutionary feedback reshapes bacteriophage lambda's fitness landscape and enables speciation.Nature communications · 2024Article
- Jaw size variation is associated with a novel craniofacial function for galanin receptor 2 in an adaptive radiation of pupfishes.Proceedings. Biological sciences · 2023Article
- Jaw size variation is associated with a novel craniofacial function for galanin receptor 2 in an adaptive radiation of pupfishes.bioRxiv : the preprint server for biology · 2023Article
- Immediate predation risk alters the relationship between potential and realised selection on male traits in the Trinidad guppyProceedings. Biological sciences · 2022Article
- Article
- We get by with a little help from our friends: shared adaptive variation provides a bridge to novel ecological specialists during adaptive radiation.Proceedings. Biological sciences · 2022Article
- A vertebrate adaptive radiation is assembled from an ancient and disjunct spatiotemporal landscape.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
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2 authors.
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Abstract
The effect of the environment on fitness in natural populations is a fundamental question in evolutionary biology. However, experimental manipulations of both environment and phenotype at the same time are rare. Thus, the relative importance of the competitive environment versus intrinsic organismal performance in shaping the location, height, and fluidity of fitness peaks and valleys remains largely unknown. Here, we experimentally tested the effect of competitor frequency on the complex fitness landscape driving adaptive radiation of a generalist and two trophic specialist pupfishes, a scale-eater and molluscivore, endemic to hypersaline lakes on San Salvador Island (SSI), Bahamas. We manipulated phenotypes, by generating 3407 F4/F5 lab-reared hybrids, and competitive environment, by altering the frequency of rare transgressive hybrids between field enclosures in two independent lake populations. We then tracked hybrid survival and growth rates across these four field enclosures for 3-11 months. In contrast to competitive speciation theory, we found no evidence that the frequency of hybrid phenotypes affected their survival. Instead, we observed a strikingly similar fitness landscape to a previous independent field experiment, each supporting multiple fitness peaks for generalist and molluscivore phenotypes and a large fitness valley isolating the divergent scale-eater phenotype. These features of the fitness landscape were stable across manipulated competitive environments, multivariate trait axes, and spatiotemporal heterogeneity. We suggest that absolute performance constraints and divergent gene regulatory networks shape macroevolutionary (interspecific) fitness landscapes in addition to microevolutionary (intraspecific) competitive dynamics. This interplay between organism and environment underlies static and dynamic features of the adaptive landscape.
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