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Assignment of paternity groups without access to parental genotypes: multiple mating and developmental plasticity in
A M Emery1, I J Wilson, S Craig
1University of Aberdeen, Department of Zoology, Tillydrone Avenue, Aberdeen, AB24 2TZ, UK. aide@nhm.ac.uk
Molecular Ecology
|May 31, 2001
Summary
This study used a novel Bayesian method to assign paternity for veined squid (Loligo forbesi) hatchlings. A single female produced all eggs, fertilized by four males with unequal reproductive success.
Area of Science:
- Marine Biology
- Genetics
- Evolutionary Biology
Background:
- Investigating sibling relationships and reconstructing parental genotypes is crucial for understanding population genetics.
- Traditional methods often require numerous genetic markers and make significant assumptions.
- A flexible and robust approach is needed for diverse ecological scenarios.
Purpose of the Study:
- To develop and apply a novel Bayesian method for assigning paternity and reconstructing parental genotypes.
- To analyze sibling relationships and reproductive success in veined squid (Loligo forbesi).
- To assess the influence of paternity on hatchling traits like incubation time.
Main Methods:
- Utilized a Bayesian statistical framework to analyze genetic data.
- Employed five microsatellite loci to genotype 270 veined squid hatchlings from three egg strings.
- Reconstructed maternal and paternal genotypes to assign paternity.
Main Results:
- Confirmed a single female produced all three egg strings, fertilized by the same four males.
- Observed unequal fertilization proportions among males, with one male siring the majority of offspring.
- Found no significant effect of paternity on incubation time at 8°C or 12°C, despite temperature's influence.
Conclusions:
- The developed Bayesian method is effective for paternity assignment and genotype reconstruction with minimal assumptions.
- Identified skewed reproductive success among males in the studied veined squid population.
- Demonstrated that paternity does not influence incubation time under tested conditions, highlighting other environmental factors.