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Microbe Decoder uncovers functional traits of microbes in microbiome datasets.

Timothy J Hackmann1, John P Parris1, Rekha Seshadri2

  • 1Department of Animal Science, University of California, Davis, CA 95618, United States.

Nucleic Acids Research
|May 21, 2026
PubMed
Summary

Microbe Decoder predicts microbial functional traits from sequencing data, aiding biological, medical, and environmental research. This tool helps understand ecosystem functions by identifying organism capabilities.

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Computational Biology

Background:

  • Microbiome sequencing reveals numerous organisms, but their specific functional traits are often unknown.
  • Current tools primarily identify microbial names or genes, lacking prediction of concrete biological functions like fermentation.
  • Understanding microbial functions is crucial for diverse scientific fields.

Purpose of the Study:

  • To introduce Microbe Decoder, a web server designed to predict functional traits of microbes in microbiome datasets.
  • To bridge the gap in predicting specific biological functions beyond organism identification or gene annotation.
  • To provide an accessible tool for researchers to explore microbial community functions.

Main Methods:

  • Microbe Decoder integrates three complementary prediction tools: taxonomy-based, metabolic network-based, and machine learning-based.
  • The tools accept microbial names or gene functions as input.
  • An easy-to-use web application facilitates access and utilization of these prediction methods.

Main Results:

  • Microbe Decoder demonstrated strong predictive performance on microbial isolate data, achieving a balanced accuracy of 0.85.
  • Application to gut, sediment, and sea datasets revealed significant shifts in microbial functional traits across spatial and temporal scales.
  • The server is currently optimized for prokaryotes, with future plans to include eukaryotes.

Conclusions:

  • Microbe Decoder effectively predicts microbial functional traits, offering valuable insights into biological systems.
  • The tool has the potential to advance research in biology, medicine, and environmental science by elucidating microbial roles.
  • Accessible via https://www.microbe-decoder.org/, Microbe Decoder serves as a key resource for microbiome functional analysis.