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Scoring and analysis of methylation-sensitive amplification polymorphisms for epigenetic population studies
Benjamin Schulz1, R Lutz Eckstein, Walter Durka
1Institute of Landscape Ecology and Resource Management, Research Centre for BioSystems, Land Use and Nutrition (IFZ), Justus Liebig University Giessen, Giessen, Germany. benjamin.schulz@umwelt.uni-giessen.de
Molecular Ecology Resources
|April 27, 2013
Summary
This study addresses how to interpret DNA methylation data from methylation-sensitive amplification polymorphism (MSAP) surveys. New scoring methods improve the analysis of epigenetic variation in ecological and evolutionary studies.
Area of Science:
- Epigenetics
- Population Genetics
- Molecular Ecology
Background:
- DNA methylation is a heritable epigenetic modification crucial for biological processes.
- Methylation-Sensitive Amplification Polymorphism (MSAP) is increasingly used for population-level epigenetic variation studies.
- Current MSAP data scoring methods lack consensus, hindering interpretation of population epigenetic studies.
Purpose of the Study:
- To review existing scoring approaches for MSAP data in population epigenetic studies.
- To develop and evaluate novel scoring methods for MSAP banding patterns.
- To assess the impact of different scoring schemes on epigenetic diversity and differentiation estimates.
Main Methods:
- A comprehensive review of previously used MSAP scoring techniques.
- Development of alternative scoring strategies for MSAP data.
- Application of eight distinct scoring schemes to a case study involving three populations of Viola elatior.
- Analysis of epigenetic diversity and differentiation using statistical methods like linear regression and Principal Coordinate Analysis (PCoA).
Main Results:
- The number of scorable polymorphic epiloci varied significantly (78–286) based on the scoring scheme used.
- Estimates of epigenetic diversity and differentiation showed strong variation across different scoring approaches.
- Despite variations, linear regression and PCoA indicated qualitatively similar patterns, suggesting overall consistency among methods.
- A novel scoring approach, differentiating methylation types, is proposed for more detailed ecological and evolutionary conclusions.
Conclusions:
- The choice of scoring method significantly impacts the quantification of epigenetic diversity and differentiation from MSAP data.
- While scoring approaches vary, they largely yield consistent patterns in population epigenetic analyses.
- A new scoring method that accounts for different methylation types is recommended for robust single-locus analyses and evolutionary insights.
- An R script (MSAP_score.r) is provided to facilitate MSAP data scoring and analysis.
