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

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dc.contributor.authorAlbecker, Molly A.en
dc.contributor.authorWilkins, Laetitia G. E.en
dc.contributor.authorKrueger-Hadfield, Stacy A.en
dc.contributor.authorBashevkin, Samuel M.en
dc.contributor.authorHahn, Matthew W.en
dc.contributor.authorHare, Matthew P.en
dc.contributor.authorKindsvater, Holly K.en
dc.contributor.authorSewell, Mary A.en
dc.contributor.authorLotterhos, Katie E.en
dc.contributor.authorReitzel, Adam M.en
dc.date.accessioned2022-03-28T12:08:23Zen
dc.date.available2022-03-28T12:08:23Zen
dc.date.issued2021-12-08en
dc.date.updated2022-03-27T18:51:34Zen
dc.description.abstractComplex 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.en
dc.description.notesComplex 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.en
dc.description.versionPublished versionen
dc.format.extent10 page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifierARTN 20212122 (Article number)en
dc.identifier.doihttps://doi.org/10.1098/rspb.2021.2122en
dc.identifier.eissn1471-2954en
dc.identifier.issn1471-2954en
dc.identifier.issue1964en
dc.identifier.orcidKindsvater, Holly [0000-0001-7580-4095]en
dc.identifier.pmid34847763en
dc.identifier.urihttp://hdl.handle.net/10919/109448en
dc.identifier.volume288en
dc.language.isoenen
dc.publisherRoyal Societyen
dc.relation.urihttps://royalsocietypublishing.org/doi/full/10.1098/rspb.2021.2122en
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectLife Sciences & Biomedicineen
dc.subjectBiologyen
dc.subjectEcologyen
dc.subjectEvolutionary Biologyen
dc.subjectLife Sciences & Biomedicine - Other Topicsen
dc.subjectEnvironmental Sciences & Ecologyen
dc.subjectadaptationen
dc.subjectclimate changeen
dc.subjectcomplex life cycleen
dc.subjectfitnessen
dc.subjectgenomicsen
dc.subjectpleiotropyen
dc.subjectEVOLUTIONen
dc.subjectSIZEen
dc.subjectGROWTHen
dc.subject06 Biological Sciencesen
dc.subject07 Agricultural and Veterinary Sciencesen
dc.subject11 Medical and Health Sciencesen
dc.titleDoes a complex life cycle affect adaptation to environmental change? Genome-informed insights for characterizing selection across complex life cycleen
dc.title.serialThe Royal Societyen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherJOURen
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/Natural Resources & Environmenten
pubs.organisational-group/Virginia Tech/Natural Resources & Environment/Fish and Wildlife Conservationen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Natural Resources & Environment/CNRE T&R Facultyen

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