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Published on: May 2, 2018

Exploring sagebrush leaf microbial metagenomes from deep, host-derived sequencing.

Adedotun Adedayo Arogundade¹, Carlos Dave C Dumaguit^1,2, Anthony Melton^1,3

¹Department of Biological Sciences, Boise State University, Boise, Idaho, USA.

Microbiology Spectrum

|March 31, 2026

Summary

This summary is machine-generated.

This study explores the leaf microbiome of big sagebrush using advanced sequencing. Researchers recovered microbial genomes capable of metabolizing sagebrush leaf chemicals, offering a novel approach to studying plant-associated microbes.

Keywords:

Illumina reads functional annotation leaf microbiome metagenome-assembled genomes (MAGs)microbial bioinformatics microbial ecology microbial metagenomics phyllosphere microbiome plant-associated microbial communities plant-host derived microbial profiling sagebrush

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Purifying the Impure: Sequencing Metagenomes and Metatranscriptomes from Complex Animal-associated Samples

Purifying the Impure: Sequencing Metagenomes and Metatranscriptomes from Complex Animal-associated Samples

Published on: December 22, 2014

Area of Science:

Microbial Ecology
Plant-Microbe Interactions
Bioinformatics

Background:

Advanced sequencing and bioinformatics enable detailed study of plant-associated microbial communities.
Big sagebrush (Artemisia tridentata) is a foundational species in arid ecosystems, hosting diverse leaf microbes.
Sagebrush leaf chemistry includes secondary metabolites that can influence microbial communities.

Purpose of the Study:

To profile the leaf microbiome of big sagebrush across different sample sources.
To reconstruct metagenome-assembled genomes (MAGs) from leaf-associated microbes.
To investigate the functional capabilities of these MAGs, particularly regarding the metabolism of sagebrush chemicals.

Main Methods:

Illumina shotgun sequencing of sagebrush leaves.
Bioinformatic analysis to remove host sequences and identify microbial reads.
Metagenomic assembly and binning to reconstruct MAGs.
Functional annotation of MAGs to identify metabolic pathways.

Main Results:

Microbiome composition varied between greenhouse and wild samples, with distinct dominant genera.
Two high-quality MAGs (Phyllobacterium and Sphingomonas) were reconstructed from greenhouse samples.
Functional analysis revealed genes for degrading sagebrush leaf chemicals like camphor and essential oils.

Conclusions:

Metagenome-assembled genomes can be successfully recovered from host-derived sequence data.
This approach provides a novel method for characterizing plant-associated microbes, including difficult-to-culture species.
The identified microbial genes suggest potential roles in detoxifying or utilizing sagebrush secondary metabolites.