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Detecting the "invisible fraction" bias in resurrection experiments
1Department of Ecology and Evolutionary Biology University of Toronto Toronto ON Canada.
The resurrection approach can estimate evolutionary change, but seed storage can introduce bias. Careful analysis of family structure in seed collections is crucial for accurate evolutionary studies.
Area of Science:
- Evolutionary biology
- Ecology
- Conservation biology
Background:
- The resurrection approach revives ancestral plant generations from dormant seeds to study evolution in response to environmental changes.
- Project Baseline collected seeds from 61 North American plant species for future resurrection experiments.
Purpose of the Study:
- To investigate the potential bias, termed the "invisible fraction" problem, in resurrection experiments due to non-random seed mortality during storage.
- To identify conditions under which this bias can significantly impact estimates of evolutionary change.
Main Methods:
- The study theoretically analyzes how non-random seed mortality, influenced by genetically correlated seed and postemergence traits, can bias ancestral phenotype estimates.
- It proposes using family structure within seed collections to diagnose "invisible fraction" bias by correlating family survival rates with trait means.
Main Results:
- Low seed survival combined with selective mortality and strong genetic correlations between seed and postemergence traits can lead to substantial bias.
- A correlation between family mean survival and family mean of a trait indicates non-random mortality and a biased sample mean.
Conclusions:
- The "invisible fraction" bias is a significant concern for resurrection studies with low seed survival.
- The family-structured sampling in Project Baseline allows for the detection of this bias, and future statistical methods may enable its correction.
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