Microbiology SpectrumMicrobiologyPeer-reviewed journal article
Nested PCR to optimize rpoB metabarcoding for low-concentration and host-associated bacterial DNA
Laëtitia LeclerciD, Gabryelle Agoutin, Thierry BrévaultiD, Antony ChampioniD, Jean MainguyiD, Nicolas N NegreiD, Sudeeptha YainnaiD, Géraldine PascaliD, Sophie GaudriaultiD, Jean-Claude OgieriD
Abstract
BackgroundHousekeeping genes have proved effective taxonomic markers for characterizing bacterial microbiota in short-read amplicon metabarcoding studies. A region of the rpoB gene, in particular, has been shown to minimize OTU overestimation bias with a high degree of accuracy, providing better species-level taxonomic resolution (Ogier et al. BMC Microbiol. 19:171). However, the primers for rpoB are highly degenerate, leading to potential problems in the amplification of bacterial DNA present at low concentration in the sample or embedded within eukaryotic matrices, as for the host-associated microbiota. We addressed these limitations by using a two-step PCR approach to optimize the rpoB procedure. The first PCR amplifies a 906-nucleotide region of the rpoB gene with the classical primers, referred to here as outer primers, and the second PCR then uses primers incorporating Illumina adapters, referred to here as inner primers, to amplify a 435-nucleotide subregion, the taxonomic marker for metabarcoding. ResultsWe first used in silico approaches to evaluate the universality of the outer and inner rpoB primers. We then tested the nested rpoB PCR method on commercial mock samples of known composition. The nested PCR approach increased amplification efficiency for dilute samples without biasing the bacterial composition of the mock sample revealed by metabarcoding relative to single-step PCR. We also tested the nested rpoB PCR method on field-collected samples of the lepidopteran Spodoptera frugiperda. The nested PCR outperformed single-step PCR, increasing amplification efficiency for bacterial DNA present at low concentrations (oral secretions from S. frugiperda) or embedded in eukaryotic DNA matrices (S. frugiperda larvae). ConclusionsThis method provides a promising new strategy for characterizing insect-associated microbiota that can also be applied to other host microbiomes.
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- FWCI
- 1.05
- Field percentile
- top 26%
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