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Journal of equine veterinary science2021; 103; 103664; doi: 10.1016/j.jevs.2021.103664

Construction and Application of an In-House Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry (MALDI-TOF MS) Database Specific to Bacteria From Horses.

Abstract: Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) is used for identification of bacterial species isolated from horses. However, because of insufficiencies in the reference database, some bacterial species isolated from horses are difficult to identify with MALDI-TOF MS, and enriching the databases is expected to enhance the accuracy of MALDI-TOF MS identification. Here we created an in-house database including 271 bacterial isolates from horses. Furthermore, we used an enhanced database (our in-house database plus a commercially provided database) to examine 91 newly obtained isolates that could not be identified with MALDI-TOF MS using the commercially provided database. The enhanced database could identify 15 of those 91 isolates to the species level; including streptococcus (3/19), Gram-positive rod (4/17), Gram-negative rod (8/17) isolates. The enhanced database increased the average identification score of the 91 isolates (1.64-1.76). The in-house database increased the number of isolates that MALDI-TOF MS could identify to the species level and contributed to more accurate identification of bacterial isolates from horses.
Publication Date: 2021-05-24 PubMed ID: 34281642DOI: 10.1016/j.jevs.2021.103664Google Scholar: Lookup
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  • Journal Article

Summary

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The research article discusses the development and application of a customized database designed to increase the accuracy of identifying bacterial isolates from horses using Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry (MALDI-TOF MS).

Background of the Research

  • The Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry (MALDI-TOF MS) is a rapidly evolving method for identifying different bacterial species extracted from horses.
  • The primary challenge is that the reference database used for identification lacks complete data, which hampers the successful identification of some bacterial species.
  • The study aimed to enrich the reference database to enhance the accuracy of the bacterial identification procedure.

Conducting the Research

  • The researchers developed an in-house database that includes 271 bacterial isolates from horses. This was done to make database rich and comprehensive for identifying various bacterial species precisely.
  • A total of 91 new bacterial isolates that could not be identified using the commercially provided database were selected for the study.
  • The research team experimented to identify these isolates using the enhanced database, which is a combination of the in-house database and the commercial database.

Results of the Research

  • Utilizing the enhanced database allowed the researchers to identify 15 out of 91 previously unidentified isolates down to the species level. The successful identifications included various types of bacteria such as Streptococcus, Gram-positive rod, and Gram-negative rod isolates.
  • Notably, the enhanced database also managed to lift the average identification score of the 91 isolates from 1.64 to 1.76, indicating a more accurate identification process.

Conclusion of the Research

  • The study concluded that the in-house database improved the identification capabilities of the MALDI-TOF MS by increasing the isolates that could be identified specifically to the species level.
  • The research underlined the importance of having an enriched database for more accurate identification of bacterial isolates from horses.
  • It shows the way forward for similar applications in identifying bacterial isolates from other animal species, thereby contributing to better veterinary health management.

Cite This Article

APA
Uchida-Fujii E, Niwa H, Kinoshita Y, Nukada T. (2021). Construction and Application of an In-House Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry (MALDI-TOF MS) Database Specific to Bacteria From Horses. J Equine Vet Sci, 103, 103664. https://doi.org/10.1016/j.jevs.2021.103664

Publication

ISSN: 0737-0806
NlmUniqueID: 8216840
Country: United States
Language: English
Volume: 103
Pages: 103664
PII: S0737-0806(21)00294-X

Researcher Affiliations

Uchida-Fujii, Eri
  • Microbiology Division, Equine Research Institute, Japan Racing Association, Shimotsuke, Tochigi, Japan. Electronic address: uchida@equinst.go.jp.
Niwa, Hidekazu
  • Microbiology Division, Equine Research Institute, Japan Racing Association, Shimotsuke, Tochigi, Japan.
Kinoshita, Yuta
  • Microbiology Division, Equine Research Institute, Japan Racing Association, Shimotsuke, Tochigi, Japan.
Nukada, Toshio
  • Microbiology Division, Equine Research Institute, Japan Racing Association, Shimotsuke, Tochigi, Japan.

MeSH Terms

  • Animals
  • Bacteria
  • Databases, Factual
  • Horses
  • Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / veterinary

Citations

This article has been cited 3 times.
  1. Wang X, Wu G, Han S, Yang J, He X, Li H. Differentiation and Identification of Endophytic Bacteria from Populus Based on Mass Fingerprints and Gene Sequences. Int J Mol Sci 2023 Aug 30;24(17).
    doi: 10.3390/ijms241713449pubmed: 37686254google scholar: lookup
  2. Thompson JE. Matrix-assisted laser desorption ionization-time-of-flight mass spectrometry in veterinary medicine: Recent advances (2019-present). Vet World 2022 Nov;15(11):2623-2657.
  3. Sting R, Schwabe I, Kieferle M, Münch M, Rau J. Fatal Infection in an Alpaca (Vicugna pacos) Caused by Pathogenic Rhodococcus equi. Animals (Basel) 2022 May 19;12(10).
    doi: 10.3390/ani12101303pubmed: 35625149google scholar: lookup