Constructing phylogenetic trees for microbiome data analysis: A mini-review.

Area of Science:

• Microbiome Research
• Bioinformatics
• Computational Biology

Background:

• Next-generation sequencing generates vast microbiome data, necessitating advanced analysis methods.
• Phylogenetic information is crucial for accurate microbiome analysis, but constructing trees from metagenomic data is challenging.
• Existing phylogenetic tree construction tools are often difficult for downstream researchers to use, and public datasets frequently lack these trees.

Purpose of the Study:

• To provide a comprehensive review of phylogenetic tree construction techniques for microbiome data.
• To outline the strengths and limitations of current methods for 16S rRNA and whole-genome shotgun sequencing.
• To offer guidance for making these tools more accessible and applicable in quantitative microbiome analysis.

Main Methods:

• Review of existing literature on phylogenetic tree construction methods for microbiome data.
• Analysis of challenges in marker gene identification for metagenomic and whole-genome shotgun sequencing.
• Assessment of the usability and accessibility of current bioinformatics tools for downstream researchers.

Main Results:

• Established methods exist for 16S rRNA gene sequencing, but robust tools for metagenomic and whole-genome shotgun sequencing are scarce.
• Downstream researchers often lack awareness or face difficulties using available phylogenetic tree construction tools.
• Public microbiome datasets commonly provide only abundance and taxonomic data, omitting phylogenetic trees.

Conclusions:

• There is a need for more accessible and user-friendly phylogenetic tree construction tools for diverse microbiome sequencing data.
• Guidance and expert insights are required to bridge the gap between upstream bioinformatics and downstream data analysis.
• Improved accessibility of phylogenetic trees will enhance the accuracy and depth of quantitative microbiome research.