PLoS ONE · 2011 · 258 citations · 15 references
Life SciencesEcologyMicrobiologyMicrobial EcologyMicrobiome ResearchSequence Analysis16S Ribosomal Ribonucleic Acid AnalysisDna SequencingMicrobial Community ProfilingSequence Quality Control16S Ribosomal Ribonucleic Acid (Rna) Sequencing16S Ribosomal Ribonucleic Acid (Rrna) Sequencing16S Ribosomal Rna Amplicon Analysis16S Ribosomal Rna Amplicon Sequencing16S Ribosomal Rna Gene SequencingAmplicon SequencingMicrobial Community StructureQuality Trimming
BACKGROUND: 16S rRNA gene pyrosequencing approach has revolutionized studies in microbial ecology. While primer selection and short read length can affect the resulting microbial community profile, little is known about the influence of pyrosequencing methods on the sequencing throughput and the outcome of microbial community analyses. The aim of this study is to compare differences in output, ease, and cost among three different amplicon pyrosequencing methods for the Roche/454 Titanium platform METHODOLOGY/PRINCIPAL FINDINGS: The following three pyrosequencing methods for 16S rRNA genes were selected in this study: Method-1 (standard method) is the recommended method for bi-directional sequencing using the LIB-A kit; Method-2 is a new option designed in this study for unidirectional sequencing with the LIB-A kit; and Method-3 uses the LIB-L kit for unidirectional sequencing. In our comparison among these three methods using 10 different environmental samples, Method-2 and Method-3 produced 1.5-1.6 times more useable reads than the standard method (Method-1), after quality-based trimming, and did not compromise the outcome of microbial community analyses. Specifically, Method-3 is the most cost-effective unidirectional amplicon sequencing method as it provided the most reads and required the least effort in consumables management. CONCLUSIONS: Our findings clearly demonstrated that alternative pyrosequencing methods for 16S rRNA genes could drastically affect sequencing output (e.g. number of reads before and after trimming) but have little effect on the outcomes of microbial community analysis. This finding is important for both researchers and sequencing facilities utilizing 16S rRNA gene pyrosequencing for microbial ecological studies.
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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
Accuracy and quality of massively parallel DNA pyrosequencing
Susan M. Huse, Julie A. Huber, Hilary G. Morrison et al. · Genome biology · 2007 · 1.3K citations · Full text
Life Sciences, Biology, Microbiology +17