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Challenges and Approaches to Genotyping Repetitive DNA
Elizabeth A Morton1, Ashley N Hall1,2, Elizabeth Kwan1
1Department of Genome Sciences.
G3 (Bethesda, Md.)
|November 24, 2019
Summary
Copy number variation in repetitive DNA, like ribosomal DNA (rDNA), impacts traits but is hard to measure. This study evaluates methods for accurate rDNA copy number estimation, finding issues with common sequencing techniques.
Area of Science:
- Genetics
- Molecular Biology
- Genomics
Background:
- Copy number variation (CNV) in repetitive DNA elements is substantial within species.
- CNV can influence complex traits like lifespan and disease susceptibility.
- Accurate quantification of CNV, especially for large repetitive arrays like ribosomal DNA (rDNA), remains a significant technical challenge.
Purpose of the Study:
- To assess the technical reproducibility of major copy number estimation methods for the ribosomal DNA (rDNA) array.
- To compare the performance of pulsed-field gel electrophoresis, droplet digital PCR, and Nextera-based whole genome sequencing for rDNA copy number quantification.
- To identify potential causes of error in common quantification techniques and provide best practice recommendations.
Main Methods:
- Evaluation of pulsed-field gel electrophoresis (PFGE).
- Assessment of droplet digital PCR (ddPCR).
- Analysis of Nextera-based whole genome sequencing (WGS) for copy number estimation.
- Comparison across model organisms (S. cerevisiae, C. elegans) and diverse copy number ranges.
Main Results:
- Nextera-based WGS exhibited high error rates in rDNA copy number estimation.
- Pulsed-field gel electrophoresis and droplet digital PCR demonstrated better reproducibility for rDNA copy number.
- High-confidence rDNA copy number estimates were generated for S. cerevisiae and C. elegans strains.
Conclusions:
- Standard Nextera-based WGS is not reliable for accurate rDNA copy number quantification due to high error rates.
- PFGE and ddPCR are more robust methods for estimating rDNA copy number variation.
- Further exploration into FISH-based methods may offer cellular-level copy number characterization.
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