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Published on: September 15, 2015
Evaluation method for the potential functionome harbored in the genome and metagenome
Hideto Takami1, Takeaki Taniguchi, Yuki Moriya
1Microbial Genome Research Group, Japan Agency for Marine-Earth Science & Technology (JAMSTEC), 2-15 Natsushima, Yokosuka, 237-0061, Japan. takamih@jamstec.go.jp
A new method using Kyoto Encyclopedia of Genes and Genomes (KEGG) functional modules quantifies genomic and metagenomic potential functions. This approach reveals microbial nutritional preferences and functional complementarity in the human gut microbiome.
Area of Science:
- Genomics and Metagenomics
- Microbial Ecology
- Systems Biology
Background:
- Genomic analysis aims to understand organismal and community functions (functionome).
- A standardized method for evaluating functional potential in genomes and metagenomes is lacking.
- Kyoto Encyclopedia of Genes and Genomes (KEGG) functional modules offer a framework for such evaluation.
Purpose of the Study:
- To develop and validate a novel evaluation method for potential functionomes.
- To assess the utility of this method for analyzing prokaryotic species and human gut microbiomes.
- To characterize functional profiles and identify microbial nutritional strategies.
Main Methods:
- Developed a method based on the completion ratio of KEGG functional modules.
- Analyzed 768 prokaryotic species to categorize module distribution patterns.
- Examined 8 phenotypically distinct bacilli and metagenomes from 13 healthy individuals' gut microbiomes.
Main Results:
- KEGG module completion ratios varied significantly across prokaryotic species, falling into universal, restricted, diversified, and non-prokaryotic patterns.
- Analysis of bacilli revealed module sharing patterns correlated with phenotypic similarity.
- Human gut microbiome analysis uncovered microbial nutritional preferences, suggesting a strategy to avoid host competition.
Conclusions:
- The developed method effectively characterizes functionomes in genomes and metagenomes.
- The method simplifies interpretation by providing taxonomic and host information.
- This approach serves as a powerful tool for comparative functional analysis, applicable to diverse and uncultivable microbial communities.
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