Abstract

The application of high-throughput sequencing in profiling microbial communities is providing an unprecedented ability to investigate microbiomes. Such studies typically apply one of two methods: amplicon sequencing using PCR to target a conserved orthologous sequence (typically the 16S ribosomal RNA gene) or whole (meta)genome sequencing (WGS). Both methods have been used to catalog the microbial taxa present in a sample and quantify their respective abundances. However, a comparison of the inherent precision or bias of the different sequencing approaches has not been performed. We previously developed a metagenomic control material (MCM) to investigate error when performing different sequencing strategies. Amplicon sequencing using four different primer strategies and two 16S rRNA regions was examined (Roche 454 Junior) and compared to WGS (Illumina HiSeq). All sequencing methods generally performed comparably and in good agreement with organism specific digital PCR (dPCR); WGS notably demonstrated very high precision. Where discrepancies between relative abundances occurred they tended to differ by less than twofold. Our findings suggest that when alternative sequencing approaches are used for microbial molecular profiling they can perform with good reproducibility, but care should be taken when comparing small differences between distinct methods. This work provides a foundation for future work comparing relative differences between samples and the impact of extraction methods. We also highlight the value of control materials when conducting microbial profiling studies to benchmark methods and set appropriate thresholds.

Highlights

  • Microbial molecular profiling allows the study of genetic material from a microbiome

  • We initially used the metagenomic control material (MCM) to investigate amplicon sequencing by four different primer strategies targeting two different variable regions of the 16S rRNA gene in order to evaluate their impact on quantification (Figure 2)

  • In this study we have investigated the performance of amplicon sequencing and whole genome sequencing (WGS) using our metagenomic control material

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Summary

Introduction

Microbial molecular profiling allows the study of genetic material from a microbiome. The most popular target, the 16S ribosomal RNA (16S rRNA) gene, has been used in taxonomic studies for classifying bacteria at the molecular level for decades [5] It is a key genetic marker in phylogenetic studies [6] and is a popular alternative to WGS for microbiome analysis [7,8]. Repeat measurements allow researchers to assess random variation, but systemic variation is more difficult to evaluate and methods for evaluating microbiomes arguably present a particular challenge as the quantification of multiple different sequences are performed. This leads to the added complication of assigning the sequences to a given organism. This study uses a well characterised control material to assess multiple important factors in a microbial profiling study, providing a measure of their precision and bias

Results and Discussion
Molecular Profiling Using Different Sequencing Strategies
Evaluation of the Effect of Database Composition
Preparation of Metagenomic Control Material
Microfluidic Digital PCR
Amplicon Sequencing
Data Analysis
Whole Genome Sequencing
Conclusions
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