Details

Autor(en) / Beteiligte

• Mysara, Mohamed
• Vandamme, Peter
• Props, Ruben
• Kerckhof, Frederiek-Maarten
• Leys, Natalie
• Boon, Nico
• Raes, Jeroen
• Monsieurs, Pieter

Titel

Reconciliation between operational taxonomic units and species boundaries

Ist Teil von

• FEMS microbiology ecology, 2017-04, Vol.93 (4), p.1

Ort / Verlag

England: Oxford University Press

Erscheinungsjahr

2017

Quelle

MEDLINE

Beschreibungen/Notizen

• Abstract The development of high-throughput sequencing technologies has revolutionised the field of microbial ecology via 16S rRNA gene amplicon sequencing approaches. Clustering those amplicon sequencing reads into operational taxonomic units (OTUs) using a fixed cut-off is a commonly used approach to estimate microbial diversity. A 97% threshold was chosen with the intended purpose that resulting OTUs could be interpreted as a proxy for bacterial species. Our results show that the robustness of such a generalised cut-off is questionable when applied to short amplicons only covering one or two variable regions of the 16S rRNA gene. It will lead to biases in diversity metrics and makes it hard to compare results obtained with amplicons derived with different primer sets. The method introduced within this work takes into account the differential evolutional rates of taxonomic lineages in order to define a dynamic and taxonomic-dependent OTU clustering cut-off score. For a taxonomic family consisting of species showing high evolutionary conservation in the amplified variable regions, the cut-off will be more stringent than 97%. By taking into consideration the amplified variable regions and the taxonomic family when defining this cut-off, such a threshold will lead to more robust results and closer correspondence between OTUs and species. This approach has been implemented in a publicly available software package called DynamiC. More accurate and robust estimates of microbial diversity are generated when performing an OTU clustering step using a dynamic cut-off that integrates bacterial taxonomy and differential evolutionary rates.