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Selecting Hypomethylated Genomic Regions Using MRE-Seq
Elisabeth Wischnitzki1, Kornel Burg2, Maria Berenyi2
1AIT Austrian Institute of Technology GmbH, Konrad-Lorenz Street 24, 3430, Tulln, Austria. Elisabeth.Wischnitzki@ait.ac.at.
Methods in Molecular Biology (Clifton, N.J.)
|August 26, 2016
Summary
We developed a new method to filter the hypomethylome, enriching gene-rich regions in plant genomes. This technique efficiently isolates hypomethylated DNA, aiding genomic studies.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Plant genomes are complex, with large repetitive regions often obscuring gene-rich areas.
- DNA methylation patterns are crucial for gene regulation and genome stability in plants.
- Studying the hypomethylome (hypomethylated regions) offers insights into active gene spaces.
Purpose of the Study:
- To present a novel method for specifically isolating and analyzing the hypomethylated fraction of plant genomes.
- To enable the enrichment of gene-dense regions (gene space) for detailed sequence analysis.
- To facilitate comparative genomic studies by providing a robust filtering technique.
Main Methods:
- Utilizing methylation-sensitive restriction enzymes to digest plant DNA at specific CpG motifs.
- Selecting and sequencing small DNA fragments generated by this digestion, enriched for hypomethylated sequences.
- Employing bioinformatics pipelines for data analysis and interpretation of the filtered sequences.
Main Results:
- The method successfully filters the hypomethylome, significantly enriching the gene space of the genome.
- Repetitive elements, typically heavily methylated, are simultaneously depleted from the selected DNA fragments.
- The procedure is applicable to complex and large plant genomes, demonstrating its versatility.
Conclusions:
- This method provides an efficient way to access and study the hypomethylated portion of plant genomes.
- It facilitates the analysis of gene-rich regions and regulatory elements, crucial for understanding plant biology.
- The technique's ease of application and data analysis support its use in comparative genomics and functional studies.
Keywords:
Comparative analysisDNA methylationDe novo assemblyGene spaceHypomethylomeMRE-seqNon-model organismsPlantReduced representation librariesReference-based assembly
