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MIrROR release 02: Expanded and refined 16S-ITS-23S rRNA operon dataset.

Jisol Lee1, Juyong Hong1, Donghyeok Seol2

  • 1Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea.

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The Microbial Identification using rRNA Operon Region (MIrROR) release 02 dataset significantly expands microbial identification capabilities. This updated resource enhances accuracy for microbial profiling and classification across diverse research applications.

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Genomics

Background:

  • Exponential growth in microbial genome data necessitates continuous dataset updates for accurate identification and classification.
  • Existing datasets may lack comprehensive coverage or updated taxonomic information.

Purpose of the Study:

  • To present MIrROR release 02, an expanded and updated dataset for microbial identification and classification.
  • To improve the accuracy and reliability of microbial profiling tools.

Main Methods:

  • Curated 1,690,470 genomes (bacterial and archaeal) from NCBI.
  • Filtered rRNA operon sequences (3,500-7,000 bp), removed duplicates and ambiguous nucleotides.
  • Reclassified taxonomy using GTDB R220 and clustered sequences at 99% identity.

Main Results:

  • MIrROR release 02 dataset covers 476,579 sequences, 249,907 genomes, and 29,051 species.
  • Represents substantial increases in data volume (up to 472.49%) over the previous release.
  • Demonstrated improved performance in microbial mock community analyses.

Conclusions:

  • MIrROR release 02 is a highly valuable, accurate, and reliable resource for microbial profiling.
  • The expanded dataset supports diverse microbiological research applications.
  • Facilitates accurate microbial identification and classification in the era of big genomic data.