AI Article Synopsis

  • DNA methylation is an important epigenetic modification that influences plant development, but studying it in large genomes like maize can be costly using traditional methods.
  • Whole genome bisulfite sequencing (WGBS) offers detailed methylation profiling, but reduced representation bisulfite sequencing (RRBS) has been adapted for larger genomes by focusing on specific DNA regions, although originally designed for mammals.
  • A new pipeline was developed to enhance sequencing efficiency in plants by enriching for promoter regions in maize, successfully allowing for a deeper understanding of methylation patterns while retaining key genetic information.

Article Abstract

DNA methylation is an epigenetic modification that regulates plant development (Law and Jacobsen, 2010). Whole genome bisulfite sequencing (WGBS) is a state-of-the-art method for profiling genome-wide methylation patterns with single-base resolution ( Cokus , 2008 ). However, for an organism with a large genome, , the 2.1 Gb genome of maize, WGBS may be very expensive. Reduced representation bisulfite sequencing (RRBS) has been developed in mammalian studies ( Smith , 2009 ). By digesting the genome with I with a size selection range of approximately 40-220 bp, CG-rich regions covering only ~1% of the human genome can be specifically sequenced. However, unlike mammalian genomes, plant genomes do not exhibit clear CpG islands. Therefore the original RRBS protocol is not suitable for plants. Accordingly, we developed an pipeline to select specific enzymes to generate a region of interest (ROI)-enriched, , promoter-enriched, reduced representation genome in plants ( Hsu , 2017 ). By digesting the maize genome with I and selecting 40-300 bp segments, we sequenced about one-fourth of the maize genome while preserving 84.3% of the promoter information. The protocol has been successfully established in maize and can be broadly used in any genome. Our pipeline is combined with the RRBS library preparation protocol, allowing for the computational analysis and experimental validation.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8203956PMC
http://dx.doi.org/10.21769/BioProtoc.2778DOI Listing

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