Metagenomic Analysis Using Phylogenetic Placement-A Review of the First Decade

被引:20
作者
Czech, Lucas [1 ]
Stamatakis, Alexandros [2 ,3 ]
Dunthorn, Micah [4 ]
Barbera, Pierre
机构
[1] Carnegie Inst Sci, Dept Plant Biol, Stanford, CA 94305 USA
[2] Heidelberg Inst Theoret Studies, Computat Mol Evolut Grp, Heidelberg, Germany
[3] Karlsruhe Inst Technol, Inst Theoret Informat, Karlsruhe, Germany
[4] Univ Oslo, Nat Hist Museum, Oslo, Norway
来源
FRONTIERS IN BIOINFORMATICS | 2022年 / 2卷
关键词
phylogenetic placement; evolutionary placement; phylogenetics; metagenomics; metabarcoding; species diversity; taxonomic assignment; sequence identification; MULTIPLE SEQUENCE ALIGNMENT; RIBOSOMAL-RNA SEQUENCES; COMPOSITIONAL DATA; READ ALIGNMENT; BAYESIAN-INFERENCE; DNA-SEQUENCES; GENE DATABASE; MICROBIOME; ACCURATE; ABUNDANCE;
D O I
10.3389/fbinf.2022.871393
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 per se, 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.
引用
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页数:25
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