PLoS ONE · 2009 · 1.3K citations · 23 references
Life SciencesMicrobiologyMolecular BiologyBacteriologyMetagenomicsMicrobial Ecology16S Ribosomal Ribonucleic Acid AnalysisEnvironmental MetagenomicsMetagenomic AnalysisShotgun Metagenomics16S Ribosomal Ribonucleic Acid (Rrna) Sequencing16S Ribosomal Rna Gene AnalysisAmplicon Sequence VariantsCoverageCoverage RatePrimer DesignRibosomal Dna AnalysisTaxonomic Assignment Algorithms
Bacterial 16S rDNA amplicons are widely used to classify uncultured bacteria, but the coverage and application scope of existing primers remain largely unknown. The study mined conservative rDNA fragments to identify candidate primers by measuring coverage rates. The authors targeted conserved rDNA regions to design primers, then evaluated their coverage and detection failure rates across bacterial phyla. The study identified 30 high‑coverage primers (>90%) located in conserved regions, with five (A519–539, E969–983, E1063–1081, U515, E517) recommended for broad phylum coverage, especially Firmicutes, Gemmatimonadetes, and Proteobacteria, thereby enabling comprehensive bacterial diversity surveys.
Bacterial 16S ribosomal DNA (rDNA) amplicons have been widely used in the classification of uncultured bacteria inhabiting environmental niches. Primers targeting conservative regions of the rDNAs are used to generate amplicons of variant regions that are informative in taxonomic assignment. One problem is that the percentage coverage and application scope of the primers used in previous studies are largely unknown. In this study, conservative fragments of available rDNA sequences were first mined and then used to search for candidate primers within the fragments by measuring the coverage rate defined as the percentage of bacterial sequences containing the target. Thirty predicted primers with a high coverage rate (>90%) were identified, which were basically located in the same conservative regions as known primers in previous reports, whereas 30% of the known primers were associated with a coverage rate of <90%. The application scope of the primers was also examined by calculating the percentages of failed detections in bacterial phyla. Primers A519–539, E969–983, E1063–1081, U515 and E517, are highly recommended because of their high coverage in almost all phyla. As expected, the three predominant phyla, Firmicutes, Gemmatimonadetes and Proteobacteria, are best covered by the predicted primers. The primers recommended in this report shall facilitate a comprehensive and reliable survey of bacterial diversity in metagenomic studies.
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ARB: a software environment for sequence data
Wolfgang Ludwig · Nucleic Acids Research · 2004 · 6.8K citations · Full text
The Ribosomal Database Project: improved alignments and new tools for rRNA analysis
James R. Cole, Qi Wang, Erick Cardenas et al. · Nucleic Acids Research · 2008 · 4.9K citations · Full text
C R Woese · Microbiological Reviews · 1987 · 2.5K citations