4.7 Article

Phylogenetic Placement of Exact Amplicon Sequences Improves Associations with Clinical Information

Journal

MSYSTEMS
Volume 3, Issue 3, Pages -

Publisher

AMER SOC MICROBIOLOGY
DOI: 10.1128/mSystems.00021-18

Keywords

SEPP; amplicon sequencing; microbial community analysis; phylogenetic placement

Categories

Funding

  1. Alfred P. Sloan Foundation [G-2015-13933, G-2015-13979]
  2. National Science Foundation [DBI-1565057, IIS-1565862]
  3. Office of Naval Research [N00014-15-1-2809]
  4. Janssen Pharmaceuticals, Inc. [20175015]
  5. National Institutes of Health [P01DK078669, RHL134887A]
  6. NSF [ACI-1053575]
  7. National Institutes of Health funding
  8. National Institute on Aging (NIA)
  9. National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
  10. National Center for Advancing Translational Sciences (NCATS)
  11. NIH Roadmap for Medical Research [U01 AG027810, U01 AG042124, U01 AG042139, U01 AG042140, U01 AG042143, U01 AG042145, U01 AG042168, U01 AR066160, UL1 TR000128]
  12. United States Agency for International Development (USAID), as part of Feed the Future, the United States Government's global hunger and food security initiative [EDH-A-00-07-00005-00]

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Recent algorithmic advances in amplicon-based microbiome studies enable the inference of exact amplicon sequence fragments. These new methods enable the investigation of sub-operational taxonomic units (sOTU) by removing erroneous sequences. However, short (e.g., 150-nucleotide [nt]) DNA sequence fragments do not contain sufficient phylogenetic signal to reproduce a reasonable tree, introducing a barrier in the utilization of critical phylogenetically aware metrics such as Faith's PD or UniFrac. Although fragment insertion methods do exist, those methods have not been tested for sOTUs from high-throughput amplicon studies in insertions against a broad reference phylogeny. We benchmarked the SATe-enabled phylogenetic placement (SEPP) technique explicitly against 16S V4 sequence fragments and showed that it outperforms the conceptually problematic but often-used practice of reconstructing de novo phylogenies. In addition, we provide a BSD-licensed QIIME2 plugin (https://github.com/biocore/q2-fragment-insertion) for SEPP and integration into the microbial study management platform QIITA. IMPORTANCE The move from OTU-based to sOTU-based analysis, while providing additional resolution, also introduces computational challenges. We demonstrate that one popular method of dealing with sOTUs (building a de novo tree from the short sequences) can provide incorrect results in human gut metagenomic studies and show that phylogenetic placement of the new sequences with SEPP resolves this problem while also yielding other benefits over existing methods.

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