Genome-Based Targeted Sequencing as a Reproducible Microbial Community Profiling Assay

Area of Science:

• Microbiology
• Genomics
• Bioinformatics

Background:

• Current microbial community profiling methods like 16S rRNA and metagenome shotgun sequencing have limitations.
• There is a need for cost-effective, quantitative, and straightforward microbiome profiling techniques.
• Existing methods may not provide both accurate abundance and functional information efficiently.

Purpose of the Study:

• To introduce MA-GenTA (microbial abundances from genome tagged analysis), a novel approach for microbiome profiling.
• To demonstrate MA-GenTA's ability to quantitatively determine microbial community composition.
• To compare MA-GenTA's performance against established 16S rRNA and metagenome shotgun sequencing methods.

Main Methods:

• Developed MA-GenTA using a single-primer extension reaction with a multiplexed oligonucleotide probe pool.
• Designed probes targeting 830 bacterial genomes from mouse stool specimens.
• Validated MA-GenTA by comparing its results with metagenome shotgun sequencing and 16S rRNA data.

Main Results:

• MA-GenTA demonstrated excellent correlation with metagenome shotgun sequencing data down to 0.01% relative abundance.
• The number of detected organisms per sample was similar between MA-GenTA and metagenome shotgun sequencing.
• Nonmetric multidimensional scaling (NMDS) clustering was consistent across MA-GenTA, mWGS, and 16S rRNA data sets.

Conclusions:

• MA-GenTA offers a cost-effective, quantitative, and straightforward alternative for microbiome profiling.
• The method provides more informative data than 16S rRNA analysis at a lower cost than metagenome shotgun sequencing.
• MA-GenTA enables functional pathway analysis of the microbiome based on reference genomes.