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An operational taxonomic unit (OTU) is an operational definition used to classify groups of closely related individuals. The term was originally introduced in 1963 by Robert R. Sokal and Peter H. A. Sneath in the context of numerical taxonomy, where an "operational taxonomic unit" is simply the group of organisms currently being studied. In this sense, an OTU is a pragmatic definition to group individuals by similarity, equivalent to but not necessarily in line with classical
Linnaean taxonomy Linnaean taxonomy can mean either of two related concepts: # The particular form of biological classification (taxonomy) set up by Carl Linnaeus, as set forth in his ''Systema Naturae'' (1735) and subsequent works. In the taxonomy of Linnaeus th ...
or modern evolutionary taxonomy. Nowadays, however, the term "OTU" is commonly used in a different context and refers to clusters of (uncultivated or unknown) organisms, grouped by DNA sequence similarity of a specific taxonomic marker gene (originally coined as mOTU; molecular OTU). In other words, OTUs are pragmatic proxies for "
species A species () is often defined as the largest group of organisms in which any two individuals of the appropriate sexes or mating types can produce fertile offspring, typically by sexual reproduction. It is the basic unit of Taxonomy (biology), ...
" (microbial or metazoan) at different taxonomic levels, in the absence of traditional systems of
biological classification In biology, taxonomy () is the scientific study of naming, defining ( circumscribing) and classifying groups of biological organisms based on shared characteristics. Organisms are grouped into taxa (singular: taxon), and these groups are give ...
as are available for macroscopic organisms. For several years, OTUs have been the most commonly used units of diversity, especially when analysing small subunit 16S (for prokaryotes) or
18S rRNA 18S ribosomal RNA (abbreviated 18S rRNA) is a part of the ribosomal RNA in eukaryotes. It is a component of the Eukaryotic small ribosomal subunit (40S) and the cytosolic homologue of both the 12S rRNA in mitochondria and the 16S rRNA in plas ...
(for eukaryotes) marker gene sequence datasets. Sequences can be clustered according to their similarity to one another, and operational taxonomic units are defined based on the similarity threshold (usually 97% similarity; however also 100% similarity is common, also known as single variants) set by the researcher. It remains debatable how well this commonly-used method recapitulates true microbial species phylogeny or ecology. Although OTUs can be calculated differently when using different algorithms or thresholds, research by Schmidt et al. (2014) demonstrated that microbial OTUs were generally ecologically consistent across habitats and several OTU clustering approaches. The number of OTUs defined may be inflated due to errors in
DNA sequencing DNA sequencing is the process of determining the nucleic acid sequence – the order of nucleotides in DNA. It includes any method or technology that is used to determine the order of the four bases: adenine, thymine, cytosine, and guanine. The ...
.


OTU clustering approaches

There are three main approaches to clustering OTUs: * De novo, for which the clustering is based on similarities between sequencing reads. * Closed-reference, for which the clustering is performed against a reference database of sequences. * Open-reference, where clustering is first performed against a reference database of sequences, then any remaining sequences that could not be mapped to the reference are clustered de novo.


OTU clustering algorithms

* Hierarchical clustering algorithms (HCA): uclust & cd-hit & ESPRIT * Bayesian clustering: CROP


See also

* Phylotype * Amplicon sequence variant


References


Further reading

* {{cite journal , last1 = Chen , first1 = W. , last2 = Zhang , first2 = C. K. , last3 = Cheng , first3 = Y. , last4 = Zhang , first4 = S. , last5 = Zhao , first5 = H. , year = 2013, title = ''A comparison of methods for clustering 16S rRNA sequences into OTUs.'' , journal = PLOS ONE , volume = 8 , issue = 8, page = e70837 , doi = 10.1371/journal.pone.0070837 , pmid = 23967117 , pmc = 3742672 , bibcode = 2013PLoSO...870837C , doi-access = free Genomics Classification systems Classification algorithms Taxonomy (biology)