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Updated: Oct 7, 2025

Nanopore DNA Sequencing for Metagenomic Soil Analysis

Nanopore DNA Sequencing for Metagenomic Soil Analysis

Published on: December 14, 2017

Simultaneous amplicon analysis of multiple soil samples using MinION sequencing.

Hiroyuki Kurokochi¹, Kazutoshi Yoshitake¹, Ryo Yonezawa¹

¹Graduate School of Agricultural and Life Sciences, The University of Tokyo, Yayoi 1-1-1, Bunkyo-ku, Tokyo 113-8657, Japan.

|January 10, 2022

Summary

This summary is machine-generated.

MinION sequencing effectively analyzes soil microbial communities using amplicon sequencing. This method allows simultaneous analysis of numerous samples, providing valuable insights into soil fungi and bacteria composition.

Keywords:

Amplicon analysis MinION Next-generation sequencing Soil microbes

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Last Updated: Oct 7, 2025

Nanopore DNA Sequencing for Metagenomic Soil Analysis

Nanopore DNA Sequencing for Metagenomic Soil Analysis

Published on: December 14, 2017

Exploring the Root Microbiome: Extracting Bacterial Community Data from the Soil, Rhizosphere, and Root Endosphere

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Published on: May 2, 2018

The MPLEx Protocol for Multi-omic Analyses of Soil Samples

The MPLEx Protocol for Multi-omic Analyses of Soil Samples

Published on: May 30, 2018

Area of Science:

Environmental microbiology
Molecular ecology
Next-generation sequencing technologies

Background:

Understanding soil microbial diversity and composition is crucial for ecosystem functioning.
Next-generation sequencing, particularly MinION with its long-read capability, offers potential for analyzing complex microbial communities.
Simultaneous analysis of multiple environmental samples can streamline microbial community studies.

Purpose of the Study:

To investigate the feasibility of simultaneous analysis of multiple soil samples using MinION sequencing.
To optimize MinION sequencing protocols for soil microbial community analysis, focusing on fungal (ITS) and bacterial (16S rRNA) amplicons.
To compare the effectiveness of single versus multiple PCR amplification rounds for different marker genes.

Main Methods:

Experimental preparation of two soil types for microbial analysis.
MinION sequencing of ITS (fungal) and 16S rRNA (bacterial) amplicons.
Optimization of PCR amplification rounds (one vs. two) and purification steps.
Analysis of read clustering based on read length (∼2000 bases or more) for sample identification.

Main Results:

Performing two PCR amplifications and purification significantly increased read numbers for ITS sequencing.
The benefit of a second PCR amplification was less pronounced for 16S rRNA.
Sample clustering was achievable with MinION sequencing for both ITS and 16S rRNA if reads exceeded approximately 2000 bases.
Information from 80 samples was successfully obtained from a single round of MinION sequencing.

Conclusions:

MinION sequencing is a powerful tool for simultaneous amplicon sequencing of numerous environmental samples.
The optimization of PCR protocols, especially for ITS regions, enhances data yield for microbial community analysis.
This approach facilitates efficient comparison of soil microbial composition before and after treatments.