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Inheritance of Material Wealth in a Natural Population.

Murielle Ålund1, S Eryn McFarlane2, Arild Husby3

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Summary
This summary is machine-generated.

Genetic structure, not individual ability, drives heritable resource access in flycatchers. This suggests that traits linked to wealth may spread without directly aiding local adaptation.

Keywords:
GWASanimal breeding modelevolutionary rescueheritabilitylandscape genomicslong‐term studymaladaptationphilopatrysite fidelitysocial inheritance

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Area of Science:

  • Evolutionary biology
  • Behavioral ecology
  • Quantitative genetics

Background:

  • Evolutionary adaptation relies on heritable variation in resource access ('material wealth').
  • Typically, this heritability is linked to phenotypic abilities for resource acquisition.
  • The mechanisms driving heritable material wealth are not fully understood.

Purpose of the Study:

  • To investigate the mechanisms of material wealth inheritance in collared flycatchers.
  • To test the assumption that heritable wealth is solely due to heritable acquisition abilities.
  • To explore the role of population structure in the spread of wealth-associated alleles.

Main Methods:

  • Genome-wide association analysis to assess genomic heritability of resource access.
  • Analysis of phenotypic traits related to resource acquisition.
  • Simulations, experimental manipulations, and long-term monitoring data.

Main Results:

  • High genomic heritability (h² = 0.405 ± 0.08) for access to caterpillar larvae was found.
  • Little evidence supported heritable variation in phenotypic abilities for resource acquisition.
  • Philopatry and resulting population structure largely explained material wealth inheritance.

Conclusions:

  • Heritable material wealth in collared flycatchers is primarily driven by population structure, not individual traits.
  • Allelic variants linked to high resource access can spread without direct adaptive value.
  • This challenges traditional assumptions about the genetic basis of adaptation through resource acquisition.