Resolving the Complexity of Human Skin Metagenomes Using Single-Molecule Sequencing

Area of Science:

• Microbiology
• Genomics
• Bioinformatics

Background:

• Metagenomic shotgun sequencing is vital for studying microbial communities.
• Short-read sequencing data often results in fragmented and incomplete genome assemblies.
• Reconstructing complex microbial communities remains challenging due to technological limitations.

Purpose of the Study:

• To leverage single-molecule sequencing for improved reconstruction of a human skin microbial community.
• To reconstruct and annotate a high-quality, closed genome of a novel skin species.
• To demonstrate the utility of hybrid sequencing approaches for metagenome analysis.

Main Methods:

• Utilized single-molecule, real-time (SMRT) sequencing for long-read data acquisition.
• Employed hybrid assembly approaches combining SMRT and short-read data.
• Applied short-read data for single-nucleotide polymorphism (SNP) level strain variation analysis.

Main Results:

• Successfully reconstructed a closed, high-quality genome of a previously uncharacterized Corynebacterium simulans and its bacteriophage.
• Demonstrated significant improvements in metagenome assembly quality using hybrid approaches.
• Identified a dominant C. simulans strain with moderate allelic heterozygosity in the skin community.
• Showcased the effectiveness of SMRT sequencing for metagenome quantitation, reconstruction, and annotation.

Conclusions:

• SMRT sequencing and hybrid approaches substantially enhance the quality of microbial genome reconstruction from complex metagenomic samples.
• These advanced techniques enable high-resolution analysis of microbial community composition and strain variation.
• This study highlights the potential of long-read sequencing technologies in advancing metagenomic research.