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Comprehensive comparison of the third-generation sequencing tools for bacterial 6mA profiling
Beifang Lu1, Zhihao Guo2, Xudong Liu2
1Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China.
Nature Communications
|April 28, 2025
Summary
This study evaluates tools for detecting bacterial DNA N6-methyladenine (6mA) epigenetics. Single-Molecule Real-Time (SMRT) sequencing and Dorado show strong performance, though low-abundance sites remain challenging.
Area of Science:
- Epigenetics
- Genomics
- Bioinformatics
Background:
- DNA N6-methyladenine (6mA) is a crucial epigenetic marker in prokaryotes, regulating essential biological processes.
- Advanced tools for bacterial 6mA identification and analysis are limited, hindering research.
- Understanding 6mA patterns is vital for deciphering bacterial gene regulation and function.
Purpose of the Study:
- To comprehensively evaluate existing computational tools for bacterial DNA 6mA identification.
- To assess the performance of various sequencing technologies and analysis methods for 6mA detection.
- To identify limitations in current tools and propose an optimized method for improved 6mA prediction.
Main Methods:
- Evaluation of eight computational tools for 6mA identification and de novo methylation detection.
- Utilized Nanopore (R9 and R10) and Single-Molecule Real-Time (SMRT) sequencing data.
- Cross-referenced results with 6mA-IP-seq and DR-6mA-seq data across six bacterial strains.
- Assessed tools based on motif discovery, site-level and single-molecule accuracy, and outlier detection.
Main Results:
- Most evaluated tools accurately identified 6mA motifs, but performance varied significantly at single-base resolution.
- Single-Molecule Real-Time (SMRT) sequencing and the Dorado tool demonstrated consistently strong performance.
- Existing tools struggled to accurately detect low-abundance 6mA methylation sites.
- An optimized prediction method was developed, substantially enhancing Dorado's detection capabilities.
Conclusions:
- SMRT sequencing and Dorado are reliable tools for bacterial 6mA profiling, offering high accuracy for motif and site detection.
- Current computational tools have limitations in detecting low-abundance 6mA sites, indicating a need for further development.
- The optimized 6mA prediction method offers a promising advancement for bacterial epigenetics research.
- This study provides critical insights for enhancing computational tools and advancing the field of bacterial 6mA epigenetics.
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