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Genome and metagenome sequencing: Using the human methyl-binding domain to partition genomic DNA derived from plant tissues(1)

• Premise of the study: Variation in the distribution of methylated CpG (methyl-CpG) in genomic DNA (gDNA) across the tree of life is biologically interesting and useful in genomic studies. We illustrate the use of human methyl-CpG-binding domain (MBD2) to fractionate angiosperm DNA into eukaryotic...

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Detalles Bibliográficos
Autores principales: Yigit, Erbay, Hernandez, David I., Trujillo, Joshua T., Dimalanta, Eileen, Bailey, C. Donovan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Botanical Society of America 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4222543/
https://www.ncbi.nlm.nih.gov/pubmed/25383266
http://dx.doi.org/10.3732/apps.1400064
Descripción
Sumario:• Premise of the study: Variation in the distribution of methylated CpG (methyl-CpG) in genomic DNA (gDNA) across the tree of life is biologically interesting and useful in genomic studies. We illustrate the use of human methyl-CpG-binding domain (MBD2) to fractionate angiosperm DNA into eukaryotic nuclear (methyl-CpG-rich) vs. organellar and prokaryotic (methyl-CpG-poor) elements for genomic and metagenomic sequencing projects. • Methods: MBD2 has been used to enrich prokaryotic DNA in animal systems. Using gDNA from five model angiosperm species, we apply a similar approach to identify whether MBD2 can fractionate plant gDNA into methyl-CpG-depleted vs. enriched methyl-CpG elements. For each sample, three gDNA libraries were sequenced: (1) untreated gDNA, (2) a methyl-CpG-depleted fraction, and (3) a methyl-CpG-enriched fraction. • Results: Relative to untreated gDNA, the methyl-depleted libraries showed a 3.2–11.2-fold and 3.4–11.3-fold increase in chloroplast DNA (cpDNA) and mitochondrial DNA (mtDNA), respectively. Methyl-enriched fractions showed a 1.8–31.3-fold and 1.3–29.0-fold decrease in cpDNA and mtDNA, respectively. • Discussion: The application of MBD2 enabled fractionation of plant gDNA. The effectiveness was particularly striking for monocot gDNA (Poaceae). When sufficiently effective on a sample, this approach can increase the cost efficiency of sequencing plant genomes as well as prokaryotes living in or on plant tissues.