Benchmarking taxonomic assignments based on 16S rRNA gene profiling of the microbiota from commonly sampled environments.

ABSTRACT:

Background

Taxonomic profiling of ribosomal RNA (rRNA) sequences has been the accepted norm for inferring the composition of complex microbial ecosystems. Quantitative Insights Into Microbial Ecology (QIIME) and mothur have been the most widely used taxonomic analysis tools for this purpose, with MAPseq and QIIME 2 being two recently released alternatives. However, no independent and direct comparison between these four main tools has been performed. Here, we compared the default classifiers of MAPseq, mothur, QIIME, and QIIME 2 using synthetic simulated datasets comprised of some of the most abundant genera found in the human gut, ocean, and soil environments. We evaluate their accuracy when paired with both different reference databases and variable sub-regions of the 16S rRNA ge

SUBMITTER: Almeida A 

PROVIDER: S-EPMC5967554 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature