Does a complex life cycle affect adaptation to environmental change? Genome-informed insights for characterizing selection across complex life cycle

Author:

Albecker Molly A.1ORCID,Wilkins Laetitia G. E.2ORCID,Krueger-Hadfield Stacy A.3ORCID,Bashevkin Samuel M.4ORCID,Hahn Matthew W.5ORCID,Hare Matthew P.6ORCID,Kindsvater Holly K.7ORCID,Sewell Mary A.8ORCID,Lotterhos Katie E.9ORCID,Reitzel Adam M.10ORCID

Affiliation:

1. Department of Biology, Utah State University, Logan, UT 84321, USA

2. Max Planck Institute for Marine Microbiology (MPIMM), Celsiusstrasse 1, 28209 Bremen, Germany

3. Department of Biology, University of Alabama at Birmingham, 1300 University Blvd, Birmingham, AL 35294, USA

4. Delta Science Program, Delta Stewardship Council, 715 P Street 15-300, Sacramento, CA 95814, USA

5. Department of Biology and Department of Computer Science, Indiana University, 1001 E. 3rd St., Bloomington, IN 47405, USA

6. Department of Natural Resources and the Environment, Cornell University, 205 Fernow Hall, Ithaca, NY 14853, USA

7. Department of Fish and Wildlife Conservation, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA

8. School of Biological Sciences, University of Auckland, Auckland 1010, New Zealand

9. Northeastern University Marine Science Center, 430 Nahant Rd., Nahant, MA 01918, USA

10. University of North Carolina at Charlotte, 9201 University City Blvd., Charlotte, NC 28223, USA

Abstract

Complex life cycles, in which discrete life stages of the same organism differ in form or function and often occupy different ecological niches, are common in nature. Because stages share the same genome, selective effects on one stage may have cascading consequences through the entire life cycle. Theoretical and empirical studies have not yet generated clear predictions about how life cycle complexity will influence patterns of adaptation in response to rapidly changing environments or tested theoretical predictions for fitness trade-offs (or lack thereof) across life stages. We discuss complex life cycle evolution and outline three hypotheses—ontogenetic decoupling, antagonistic ontogenetic pleiotropy and synergistic ontogenetic pleiotropy—for how selection may operate on organisms with complex life cycles. We suggest a within-generation experimental design that promises significant insight into composite selection across life cycle stages. As part of this design, we conducted simulations to determine the power needed to detect selection across a life cycle using a population genetic framework. This analysis demonstrated that recently published studies reporting within-generation selection were underpowered to detect small allele frequency changes (approx. 0.1). The power analysis indicates challenging but attainable sampling requirements for many systems, though plants and marine invertebrates with high fecundity are excellent systems for exploring how organisms with complex life cycles may adapt to climate change.

Funder

Division of Ocean Sciences

Gordon and Betty Moore Foundation

Publisher

The Royal Society

Subject

General Agricultural and Biological Sciences,General Environmental Science,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

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