The National Ecological Observatory Network's soil metagenomes: assembly and basic analysis

Area of Science:

• Environmental Science
• Microbiology
• Bioinformatics

Background:

• The National Ecological Observatory Network (NEON) has released a large dataset of soil metagenomes from 47 US sites.
• NEON data is open-access and includes programming tutorials, but lacks specific guidance for soil shotgun metagenomic data analysis.
• Understanding soil microbial communities is crucial for ecological research.

Purpose of the Study:

• To provide an introductory tutorial for accessing and analyzing NEON's soil shotgun metagenomic dataset.
• To present a bioinformatics pipeline tailored for the complexity of soil microbiomes.
• To enhance the accessibility of NEON soil metagenomic data for ecological studies.

Main Methods:

• Development of a bioinformatics pipeline for processing raw soil metagenome sequencing reads.
• Implementation of steps including read cleaning, taxonomic classification, and genome assembly.
• Gene annotation using custom protein databases and data export for downstream analysis.

Main Results:

• A comprehensive workflow for analyzing soil shotgun metagenomic data is described.
• The pipeline addresses the high complexity and diversity inherent in soil microbial communities.
• Methods for taxonomic classification, genome assembly, and gene annotation are detailed.

Conclusions:

• The presented workflow increases the accessibility of NEON's soil metagenomic data.
• This resource empowers researchers to investigate soil microbial communities and their ecological roles.
• The tutorial facilitates the use of large-scale soil metagenomic datasets in ecological research.