Research study of simulated microbial communities shows analyses are flawed by incomplete DNA databases. Common approaches to analyzing DNA from a community of microbes, called a microbiome, can yield erroneous results, in large part due to the incomplete databases used to identify microbial DNA
databases.
Common approaches to analyzing DNA from a community of microbes, called a microbiome, can yield erroneous results, in large part due to the incomplete databases used to identify microbial DNA sequences.
To test the consistency of current methods of microbiome analysis, researchers used computer simulations to create virtual microbiome communities that imitate real-world bacterial populations. They used standard techniques to analyze the virtual communities and compared the results with the original composition.
The authors add: “This study reveals intrinsic constraints in metagenomic analysis stemming from current database limitations and how genomic information is used. To enhance the reliability of metagenomic data, a research effort is necessary to improve both database contents and analysis methods. Meanwhile, metagenomic data should be approached with great care.”
Reference: “The virtual microbiome: A computational framework to evaluate microbiome analyses” by Belén Serrano-Antón, Francisco Rodríguez-Ventura, Pere Colomer-Vidal, Riccardo Aiese Cigliano, Clemente F. Arias and Federica Bertocchini, 8 February 2023,
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