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Exploring Semi-Quantitative Metagenomic Studies Using Oxford Nanopore Sequencing: A Computational and Experimental
Rohia Alili1,2,3, Eugeni Belda4, Phuong Le3
1École Pratique des Hautes Études, PSL University, Les Patios Saint-Jacques, 4-14 Rue Ferrus, 75014 Paris, France.
Genes
|October 23, 2021
Summary
This study presents a new protocol for analyzing the gut microbiome using Oxford Nanopore sequencing (ONT). This method enables rapid, whole-genome profiling for personalized medicine, overcoming challenges in clinical applications.
Area of Science:
- Microbiology
- Genomics
- Bioinformatics
Background:
- The gut microbiome is crucial in chronic diseases, with altered bacterial communities observed in various conditions.
- Current large-scale sequencing projects characterize microbiome perturbations but face challenges in clinical translation.
- Portable, real-time, and low-cost sequencing technologies are needed for routine clinical microbiome profiling.
Purpose of the Study:
- To develop and validate a computational and experimental protocol for whole-genome, semi-quantitative metagenomic analysis of the human gut microbiome.
- To optimize preanalytic steps (stool collection, DNA extraction) for maximizing read length in Oxford Nanopore sequencing (ONT).
- To enable rapid, personalized whole-genome profiling of microbiome species in clinical or research settings.
Main Methods:
- Developed a bioinformatics protocol for taxonomic and functional analysis of ONT sequences.
- Optimized stool collection and DNA extraction methods to enhance read length for improved sequence alignment and classification.
- Evaluated the protocol using simulated metagenomic communities and validated it with stool samples from a bariatric surgery cohort.
Main Results:
- The developed protocol demonstrated effective taxonomic and functional analysis of metagenomic data.
- Optimized preanalytic methods successfully maximized DNA read length, crucial for accurate sequence analysis.
- Validation using stool samples showed comparable microbial diversity and composition profiles to Illumina and SOLiD technologies.
Conclusions:
- The proposed computational and experimental protocol facilitates whole-genome semi-quantitative metagenomic studies of the gut microbiome using ONT sequencing.
- This approach can be implemented in clinical and research settings for rapid, personalized microbiome profiling.
- The protocol has the potential to bridge the gap between microbiome discoveries and their clinical application.
