MethylC-analyzer: a comprehensive downstream pipeline for the analysis of genome-wide DNA methylation

Botanical Studies

Database Article

Pao-Yang Chen¹  Ming-Ren Yen¹  Pei-Yu Lin¹  Bing-Heng Wu¹  Rita Jui-Hsien Lu² 

[1] Institute of Plant and Microbial Biology, Academia Sinica, 115, Taipei, Taiwan;Institute of Plant and Microbial Biology, Academia Sinica, 115, Taipei, Taiwan;Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA;

关键词: DNA methylation;    Differentially methylated regions;    MethylC-analyzer;    Next-generation sequencing;    Bisulfite sequencing;    Whole-genome bisulfite sequencing;    Reduced representation bisulfite sequencing;    Enzymatic methyl-seq;   

DOI  :  10.1186/s40529-022-00366-5

 received in 2022-10-26, accepted in 2022-12-28,  发布年份 2022

来源: Springer

【 摘 要 】

DNA methylation is a crucial epigenetic modification involved in multiple biological processes and diseases. Current approaches for measuring genome-wide DNA methylation via bisulfite sequencing (BS-seq) include whole-genome bisulfite sequencing (WGBS), reduced representation bisulfite sequencing (RRBS), and enzymatic methyl-seq (EM-seq). The computational analysis tools available for BS-seq data include customized aligners for mapping bisulfite-converted reads and computational pipelines for downstream data analysis. Current post-alignment methylation tools are specialized for the interpretation of CG methylation, which is known to dominate mammalian genomes, however, non-CG methylation (CHG and CHH, where H refers to A, C, or T) is commonly observed in plants and fungi and is closely associated with gene regulation, transposon silencing, and plant development. Thus, we have developed a MethylC-analyzer to analyze and visualize post-alignment WGBS, RRBS, and EM-seq data focusing on CG. The tool is able to also analyze non-CG sites to enhance deciphering genomes of plants and fungi. By processing aligned data and gene location files, MethylC-analyzer generates a genome-wide view of methylation levels and methylation in user-specified genomic regions. The meta-plot, for example, allows the investigation of DNA methylation within specific genomic elements. Moreover, our tool identifies differentially methylated regions (DMRs) and investigates the enrichment of genomic features associated with variable methylation. MethylC-analyzer functionality is not limited to specific genomes, and we demonstrated its performance on both plant and human BS-seq data. MethylC-analyzer is a Python- and R-based program designed to perform comprehensive downstream analyses of methylation data, providing an intuitive analysis platform for scientists unfamiliar with DNA methylation analysis. It is available as either a standalone version for command-line uses or a graphical user interface (GUI) and is publicly accessible at https://github.com/RitataLU/MethylC-analyzer.

【 授权许可】

CC BY   
© The Author(s) 2023

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