Phylogenetic Placement of Exact Amplicon Sequences Improves Associations with Clinical Information
Phylogenetic Placement of Exact Amplicon Sequences Improves Associations with Clinical Information
About this item
Full title
Author / Creator
Publisher
United States: American Society for Microbiology
Journal title
Language
English
Formats
Publication information
Publisher
United States: American Society for Microbiology
Subjects
More information
Scope and Contents
Contents
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.
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 SATé-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)...
Alternative Titles
Full title
Phylogenetic Placement of Exact Amplicon Sequences Improves Associations with Clinical Information
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_786a8d36f43344f08d69306561672418
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_786a8d36f43344f08d69306561672418
Other Identifiers
ISSN
2379-5077
E-ISSN
2379-5077
DOI
10.1128/mSystems.00021-18