AI Article Synopsis

  • Phylogenetic placement involves using unique tools and methods to analyze metagenomic sequencing data, providing a more accurate context for metabarcoding sequences by considering evolutionary history.
  • This approach enhances metagenomic surveys by allowing researchers to work with sequences even if they don't match existing databases closely, and it supports various analyses like species community dynamics and environmental correlations.
  • The review highlights the progress made in the last decade, aiming to encourage the use of phylogenetic placement, detail the workflow from raw data to publishable results, and provide insight into common tools, challenges, and effective data interpretation strategies.

Article Abstract

Phylogenetic placement refers to a family of tools and methods to analyze, visualize, and interpret the tsunami of metagenomic sequencing data generated by high-throughput sequencing. Compared to alternative (e. g., similarity-based) methods, it puts metabarcoding sequences into a phylogenetic context using a set of known reference sequences and taking evolutionary history into account. Thereby, one can increase the accuracy of metagenomic surveys and eliminate the requirement for having exact or close matches with existing sequence databases. Phylogenetic placement constitutes a valuable analysis tool , but also entails a plethora of downstream tools to interpret its results. A common use case is to analyze species communities obtained from metagenomic sequencing, for example via taxonomic assignment, diversity quantification, sample comparison, and identification of correlations with environmental variables. In this review, we provide an overview over the methods developed during the first 10 years. In particular, the goals of this review are 1) to motivate the usage of phylogenetic placement and illustrate some of its use cases, 2) to outline the full workflow, from raw sequences to publishable figures, including best practices, 3) to introduce the most common tools and methods and their capabilities, 4) to point out common placement pitfalls and misconceptions, 5) to showcase typical placement-based analyses, and how they can help to analyze, visualize, and interpret phylogenetic placement data.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580882PMC
http://dx.doi.org/10.3389/fbinf.2022.871393DOI Listing

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