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Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS
06:34

Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS

Published on: July 11, 2016

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Development of a Custom MALDI-TOF MS Database for Species-Level Identification of Bacterial Isolates Collected From

Arman Seuylemezian1, Heidi S Aronson1, James Tan1

  • 1Biotechnology and Planetary Protection Group, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States.

Frontiers in Microbiology
|June 6, 2018
PubMed

Insights

Matrix-assisted laser desorption/ionization time of flight (MALDI-TOF) mass spectrometry offers a faster, more accurate method for identifying bacterial isolates from spacecraft assembly environments. This new approach, using a custom database, improves upon traditional 16S rRNA sequencing.

Area of Science:

  • Microbiology
  • Space Science
  • Analytical Chemistry

Background:

  • Planetary Protection Group at JPL maintains a bacterial isolate archive since the 1970s.
  • 16S rRNA gene sequencing is the standard but is time-consuming and has limited resolution for closely related bacteria.
  • Manufacturer databases for MALDI-TOF MS lack the specific bacterial diversity found in cleanroom environments.

Purpose of the Study:

  • To develop and validate a custom MALDI-TOF MS database for bacterial isolates from spacecraft assembly environments.
  • To evaluate MALDI-TOF MS as a high-throughput alternative to 16S rRNA sequencing for spacecraft microbial identification.

Main Methods:

  • Development of a novel, in-house database of MALDI-TOF MS profiles for spacecraft-associated bacterial isolates.
  • Identification of 454 bacterial isolates using the custom MALDI-TOF MS database.
  • Comparison of MALDI-TOF MS results with traditional 16S rRNA sequencing classifications.

Main Results:

  • Successful identification of 454 bacterial isolates, consistent with 16S rRNA sequencing.
  • MALDI-TOF MS demonstrated superior resolution, distinguishing strain-level variations and potential novel species.
  • This method accurately identified bacterial isolates, surpassing the taxonomic resolution of 16S rRNA sequencing.

Conclusions:

  • The custom MALDI-TOF MS database provides an accurate and high-throughput method for real-time bacterial identification in spacecraft assembly.
  • MALDI-TOF MS is a viable and advantageous replacement for 16S rRNA sequencing in planetary protection applications.
  • This advancement supports enhanced microbial monitoring during critical spacecraft assembly processes.
Keywords:
MALDI-TOF MSbacterial phylogeneticscleanroomspace microbiologytaxonomy

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