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Methodology for Accurate Detection of Mitochondrial DNA Methylation
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DNA 5-methylcytosine detection and methylation phasing using PacBio circular consensus sequencing.

Peng Ni1,2,3, Fan Nie1,2,3, Zeyu Zhong1,3

  • 1School of Computer Science and Engineering, Central South University, Changsha, 410083, China.

Nature Communications
|July 8, 2023
PubMed
Summary

We developed ccsmeth, a deep-learning tool for accurate DNA 5-methylcytosine (5mCpC) detection using PacBio circular consensus sequencing (CCS) reads. This method enhances methylation analysis in repetitive regions and offers haplotype-aware insights.

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Area of Science:

  • Genomics
  • Epigenetics
  • Bioinformatics

Background:

  • Long-read sequencing technologies like PacBio CCS and nanopore sequencing show promise for detecting DNA 5-methylcytosine (5mCpG).
  • Existing PacBio CCS methods for 5mCpG detection lack accuracy and robustness, particularly in complex genomic regions.

Purpose of the Study:

  • To develop a novel deep-learning method, ccsmeth, for accurate and robust detection of DNA 5mCpGs using PacBio CCS reads.
  • To create a Nextflow pipeline, ccsmethphase, for haplotype-aware methylation detection from CCS data.

Main Methods:

  • Trained ccsmeth using PacBio CCS reads from polymerase-chain-reaction treated and M.SssI-methyltransferase treated human DNA.
  • Evaluated ccsmeth's performance on 5mCpG detection at single-molecule resolution using long CCS reads (≥10 Kb).
  • Developed ccsmethphase pipeline for haplotype-aware methylation analysis and validated it using a Chinese family trio.

Main Results:

  • ccsmeth achieved 0.90 accuracy and 0.97 Area Under the Curve for single-molecule 5mCpG detection.
  • Genome-wide site-level analysis showed >0.90 correlation with bisulfite and nanopore sequencing using only 10× CCS reads.
  • ccsmethphase successfully detected haplotype-aware methylation patterns.

Conclusions:

  • ccsmeth provides a robust and accurate deep-learning approach for DNA 5mCpG detection using PacBio CCS long reads.
  • ccsmethphase enables sensitive haplotype-aware methylation analysis, advancing epigenetic studies.
  • These tools offer significant improvements for DNA methylation analysis, especially in challenging genomic areas.