Document Detail


Parent-offspring conflict and co-adaptation: behavioural ecology meets quantitative genetics.
MedLine Citation:
PMID:  18460430     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The evolution of the complex and dynamic behavioural interactions between caring parents and their dependent offspring is a major area of research in behavioural ecology and quantitative genetics. While behavioural ecologists examine the evolution of interactions between parents and offspring in the light of parent-offspring conflict and its resolution, quantitative geneticists explore the evolution of such interactions in the light of parent-offspring co-adaptation due to combined effects of parental and offspring behaviours on fitness. To date, there is little interaction or integration between these two fields. Here, we first review the merits and limitations of each of these two approaches and show that they provide important complementary insights into the evolution of strategies for offspring begging and parental resource provisioning. We then outline how central ideas from behavioural ecology and quantitative genetics can be combined within a framework based on the concept of behavioural reaction norms, which provides a common basis for behavioural ecologists and quantitative geneticists to study the evolution of parent-offspring interactions. Finally, we discuss how the behavioural reaction norm approach can be used to advance our understanding of parent-offspring conflict by combining information about the genetic basis of traits from quantitative genetics with key insights regarding the adaptive function and dynamic nature of parental and offspring behaviours from behavioural ecology.
Authors:
Per T Smiseth; Jonathan Wright; Mathias Kölliker
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Review    
Journal Detail:
Title:  Proceedings. Biological sciences / The Royal Society     Volume:  275     ISSN:  0962-8452     ISO Abbreviation:  Proc. Biol. Sci.     Publication Date:  2008 Aug 
Date Detail:
Created Date:  2008-07-01     Completed Date:  2008-09-23     Revised Date:  2013-06-05    
Medline Journal Info:
Nlm Unique ID:  101245157     Medline TA:  Proc Biol Sci     Country:  England    
Other Details:
Languages:  eng     Pagination:  1823-30     Citation Subset:  IM    
Affiliation:
Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, West Mains Road, Edinburgh EH9 3JT, UK.
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MeSH Terms
Descriptor/Qualifier:
Adaptation, Biological
Animals
Behavior, Animal*
Biological Evolution*
Ecology*
Genetics, Population*
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