Data analysis for 16S microbial profiling from different benchtop sequencing platforms

J Microbiol Methods. 2014 Dec:107:30-7. doi: 10.1016/j.mimet.2014.08.018. Epub 2014 Sep 3.

Abstract

Progress in microbial ecology is confounded by problems when evaluating results from different sequencing methodologies. Contrary to existing expectations, here we demonstrate that the same biological conclusion is reached using different NGS technologies when stringent sequence quality filtering and accurate clustering algorithms are applied.

Keywords: Alpha diversity; Amplicons; Beta diversity; Microbial community analysis; Next generation sequencing.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Archaea / classification
  • Archaea / genetics
  • Bacteria / classification
  • Bacteria / genetics
  • Brazil
  • Computational Biology* / methods
  • High-Throughput Nucleotide Sequencing*
  • Metagenome*
  • Phylogeny
  • RNA, Ribosomal, 16S*
  • Soil Microbiology*

Substances

  • RNA, Ribosomal, 16S