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Journal ArticleDOI

UPARSE: highly accurate OTU sequences from microbial amplicon reads

Robert C. Edgar
- 01 Oct 2013 - 
- Vol. 10, Iss: 10, pp 996-998
TLDR
The UPARSE pipeline reports operational taxonomic unit (OTU) sequences with ≤1% incorrect bases in artificial microbial community tests, compared with >3% correct bases commonly reported by other methods.
Abstract
Amplified marker-gene sequences can be used to understand microbial community structure, but they suffer from a high level of sequencing and amplification artifacts. The UPARSE pipeline reports operational taxonomic unit (OTU) sequences with ≤1% incorrect bases in artificial microbial community tests, compared with >3% incorrect bases commonly reported by other methods. The improved accuracy results in far fewer OTUs, consistently closer to the expected number of species in a community.

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Journal ArticleDOI

Bacterial diversity along a 2600 km river continuum

TL;DR: A comprehensive dataset detailing the bacterioplankton diversity along the midstream of the Danube River and its tributaries is presented, revealing that bacterial richness and evenness gradually declined downriver in both the free‐living and particle‐associated bacterial communities.
Journal ArticleDOI

Kombucha tea fermentation: Microbial and biochemical dynamics.

TL;DR: The data indicate that the microbial community structure and dynamics play an important role in the biochemistry of the fermentation of the beverage and a significantly higher D-saccharic acid-1,4-lactone content and caffeine degradation property compared to previously described Kombucha tea fermentations.
Journal ArticleDOI

Bacterial Community Structure after Long-term Organic and Inorganic Fertilization Reveals Important Associations between Soil Nutrients and Specific Taxa Involved in Nutrient Transformations.

TL;DR: Deep 16S amplicon sequencing is used to investigate bacterial community characteristics in a fluvo-aquic soil treated for 24 years with inorganic fertilizers and organics and provides certain theoretical support for selection of rational fertilization strategies.
Journal ArticleDOI

De novo clustering methods outperform reference-based methods for assigning 16S rRNA gene sequences to operational taxonomic units

TL;DR: This study demonstrates that de novo methods are the optimal method of assigning sequences into OTUs and that the quality of these assignments needs to be assessed for multiple methods to identify the optimal clustering method for a particular dataset.
References
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Journal ArticleDOI

Search and clustering orders of magnitude faster than BLAST

Robert C. Edgar
- 01 Oct 2010 - 
TL;DR: UCLUST is a new clustering method that exploits USEARCH to assign sequences to clusters and offers several advantages over the widely used program CD-HIT, including higher speed, lower memory use, improved sensitivity, clustering at lower identities and classification of much larger datasets.
Journal ArticleDOI

UCHIME improves sensitivity and speed of chimera detection

TL;DR: UCHIME has better sensitivity than ChimeraSlayer (previously the most sensitive database method), especially with short, noisy sequences, and in testing on artificial bacterial communities with known composition, UCHIME de novo sensitivity is shown to be comparable to Perseus.
Journal ArticleDOI

Database resources of the National Center for Biotechnology Information

TL;DR: In addition to maintaining the GenBank(R) nucleic acid sequence database, the National Center for Biotechnology Information (NCBI) provides data analysis and retrieval resources for the data in GenBank and other biological data made available through NCBI’s website.
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