Abstract

Abstract Motivation: Chimeric DNA sequences often form during polymerase chain reaction amplification, especially when sequencing single regions (e.g. 16S rRNA or fungal Internal Transcribed Spacer) to assess diversity or compare populations. Undetected chimeras may be misinterpreted as novel species, causing inflated estimates of diversity and spurious inferences of differences between populations. Detection and removal of chimeras is therefore of critical importance in such experiments. Results: We describe UCHIME, a new program that detects chimeric sequences with two or more segments. UCHIME either uses a database of chimera-free sequences or detects chimeras de novo by exploiting abundance data. UCHIME has better sensitivity than ChimeraSlayer (previously the most sensitive database method), especially with short, noisy sequences. In testing on artificial bacterial communities with known composition, UCHIME de novo sensitivity is shown to be comparable to Perseus. UCHIME is >100× faster than Perseus and >1000× faster than ChimeraSlayer. Contact: robert@drive5.com Availability: Source, binaries and data: http://drive5.com/uchime. Supplementary information: Supplementary data are available at Bioinformatics online.

Keywords

Chimera (genetics)Computational biologyBiologySpurious relationshipPolymerase chain reactionGeneticsComputer scienceGeneMachine learning

Affiliated Institutions

Related Publications

Publication Info

Year
2011
Type
article
Volume
27
Issue
16
Pages
2194-2200
Citations
15008
Access
Closed

External Links

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

15008
OpenAlex

Cite This

R. C. Edgar, Brian J. Haas, José C. Clemente et al. (2011). UCHIME improves sensitivity and speed of chimera detection. Bioinformatics , 27 (16) , 2194-2200. https://doi.org/10.1093/bioinformatics/btr381

Identifiers

DOI
10.1093/bioinformatics/btr381