Dataset Information

Enhanced specificity of Bacillus metataxonomics using a tuf-targeted amplicon sequencing approach.

ABSTRACT: Bacillus species are ubiquitous in nature and have tremendous application potential in agriculture, medicine, and industry. However, the individual species of this genus vary widely in both ecological niches and functional phenotypes, which, hence, requires accurate classification of these bacteria when selecting them for specific purposes. Although analysis of the 16S rRNA gene has been widely used to disseminate the taxonomy of most bacterial species, this gene fails proper classification of Bacillus species. To circumvent this restriction, we designed novel primers and optimized them to allow exact species resolution of Bacillus species in both synthetic and natural communities using high-throughput amplicon sequencing. The primers designed for the tuf gene were not only specific for the Bacillus genus but also sufficiently discriminated species both in silico and in vitro in a mixture of 11 distinct Bacillus species. Investigating the primers using a natural soil sample, 13 dominant species were detected including Bacillus badius, Bacillus velezensis, and Bacillus mycoides as primary members, neither of which could be distinguished with 16S rRNA sequencing. In conclusion, a set of high-throughput primers were developed which allows unprecedented species-level identification of Bacillus species and aids the description of the ecological distribution of Bacilli in various natural environment.

SUBMITTER: Xu X

PROVIDER: S-EPMC10682494 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature

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Enhanced specificity of Bacillus metataxonomics using a tuf-targeted amplicon sequencing approach.

Xu Xinming X Nielsen Lasse Johan Dyrbye LJD Song Lijie L Maróti Gergely G Strube Mikael Lenz ML Kovács Ákos T ÁT

ISME communications 20231127 1

Bacillus species are ubiquitous in nature and have tremendous application potential in agriculture, medicine, and industry. However, the individual species of this genus vary widely in both ecological niches and functional phenotypes, which, hence, requires accurate classification of these bacteria when selecting them for specific purposes. Although analysis of the 16S rRNA gene has been widely used to disseminate the taxonomy of most bacterial species, this gene fails proper classification of B ...[more]

PMID: 38012258

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Project description:Whole transcriptome RNA-sequencing is a powerful tool, but is costly and yields complex data sets that limit its utility in molecular diagnostic testing. A targeted quantitative RNA-sequencing method that is reproducible and reduces the number of sequencing reads required to measure transcripts over the full range of expression would be better suited to diagnostic testing. Toward this goal, we developed a competitive multiplex PCR-based amplicon sequencing library preparation method that a) targets only the sequences of interest and b) controls for inter-target variation in PCR amplification during library preparation by measuring each transcript native template relative to a known number of synthetic competitive template internal standard copies. To determine the utility of this method, we intentionally selected PCR conditions that would cause transcript amplification products (amplicons) to converge toward equimolar concentrations (normalization) during library preparation. We then tested whether this approach would enable accurate and reproducible quantification of each transcript across multiple library preparations, and at the same time reduce (through normalization) total sequencing reads required for quantification of transcript targets across a large range of expression. We demonstrate excellent reproducibility (R² = 0.997) with 97% accuracy to detect 2-fold change using External RNA Controls Consortium (ERCC) reference materials; high inter-day, inter-site and inter-library concordance (R² = 0.97-0.99) using FDA Sequencing Quality Control (SEQC) reference materials; and cross-platform concordance with both TaqMan qPCR (R² = 0.96) and whole transcriptome RNA-sequencing following "traditional" library preparation using Illumina NGS kits (R² = 0.94). Using this method, sequencing reads required to accurately quantify more than 100 targeted transcripts expressed over a 10⁷-fold range was reduced more than 10,000-fold, from 2.3×10⁹ to 1.4×10⁵ sequencing reads. These studies demonstrate that the competitive multiplex-PCR amplicon library preparation method presented here provides the quality control, reproducibility, and reduced sequencing reads necessary for development and implementation of targeted quantitative RNA-sequencing biomarkers in molecular diagnostic testing.

Dataset Information

Enhanced specificity of Bacillus metataxonomics using a tuf-targeted amplicon sequencing approach.

Publications

Enhanced specificity of Bacillus metataxonomics using a tuf-targeted amplicon sequencing approach.

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