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Updated: Mar 1, 2026

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Quantifying Abdominal Pigmentation in Drosophila melanogaster
Published on: June 1, 2017
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POLYGENIC MUTATION IN DROSOPHILA MELANOGASTER: ESTIMATES FROM DIVERGENCE AMONG INBRED STRAINS
Trudy F C Mackay1,2, Richard F Lyman2, Michael S Jackson2
1Department of Genetics, University of Edinburgh, West Mains Road, Edinburgh, EH9 3JN, SCOTLAND.
Summary
This study estimated the mutation rate for Drosophila melanogaster bristle number over 100 generations. Results revealed significant polygenic mutation rates affecting quantitative traits and sex dimorphism.
Area of Science:
- Evolutionary genetics
- Quantitative genetics
- Drosophila melanogaster research
Background:
- Understanding mutation rates is crucial for evolutionary studies.
- Drosophila melanogaster is a model organism for genetic research.
- Quantitative traits are influenced by multiple genes and environmental factors.
Purpose of the Study:
- To estimate the polygenic mutation rate (VM) for abdominal and sternopleural bristle number in Drosophila melanogaster.
- To investigate the impact of mutation accumulation on quantitative traits over 100 generations.
- To analyze sex-specific effects and sex dimorphism in bristle number mutations.
Main Methods:
- Subdividing a highly inbred Drosophila melanogaster line into 25 replicate sublines.
- Independent maintenance of sublines for 100 generations with controlled population size.
- Estimating mutation rates using divergence among sublines and response to divergent selection.
Main Results:
- Mutation rates (VM) were estimated as 3.3 × 10-3 VE for abdominal bristles and 1.5 × 10-3 VE for sternopleural bristles.
- Significant mutational variation in sex dimorphism for abdominal bristle number was observed.
- Sex × mutant effect interactions contributed substantially to the overall variance.
Conclusions:
- The study provides quantitative estimates of polygenic mutation rates for specific traits in Drosophila.
- Mutations affecting bristle number can have pleiotropic effects, influencing sex dimorphism.
- These findings contribute to understanding the genetic basis of quantitative trait evolution.
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