Estimating beta diversity for under-sampled communities using the variably weighted Odum dissimilarity index and OTUshuff

Bioinformatics. 2015 Nov 1;31(21):3451-9. doi: 10.1093/bioinformatics/btv394. Epub 2015 Jun 30.

Abstract

Motivation: In profiling the composition and structure of complex microbial communities via high throughput amplicon sequencing, a very low proportion of community members are typically sampled. As a result of this incomplete sampling, estimates of dissimilarity between communities are often inflated, an issue we term pseudo β-diversity.

Results: We present a set of tools to identify and correct for the presence of pseudo β-diversity in contrasts between microbial communities. The variably weighted Odum dissimilarity (DwOdum) allows for down-weighting the influence of either abundant or rare taxa in calculating a measure of similarity between two communities. We show that down-weighting the influence of rare taxa can be used to minimize pseudo β-diversity arising from incomplete sampling. Down-weighting the influence of abundant taxa can increase the sensitivity of hypothesis testing. OTUshuff is an associated test for identifying the presence of pseudo β-diversity in pairwise community contrasts.

Availability and implementation: A Perl script for calculating the DwOdum score from a taxon abundance table and performing pairwise contrasts with OTUshuff can be obtained at http://www.ars.usda.gov/services/software/software.htm?modecode=30-12-10-00.

Contact: daniel.manter@ars.usda.gov

Supplementary information: Supplementary data are available at Bioinformatics online.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Bacteria / classification*
  • Bacteria / genetics*
  • Biodiversity*
  • Computer Simulation
  • DNA, Bacterial / genetics
  • Humans
  • Metagenomics*
  • Models, Theoretical*
  • Polymerase Chain Reaction
  • RNA, Ribosomal, 16S / genetics
  • Selection Bias
  • Soil Microbiology*

Substances

  • DNA, Bacterial
  • RNA, Ribosomal, 16S