Identification of Photorhabdus symbionts by MALDI-TOF mass spectrometry

Abstract

Species of the bacterial genus Photorhabus live in a symbiotic relationship with Heterorhabditis entomopathogenic nematodes. Besides their use as biological control agents against agricultural pests, some Photorhabdus species are also a source of natural products and are of medical interest due to their ability to cause tissue infections and subcutaneous lesions in humans. Given the diversity of Photorhabdus species, rapid and reliable methods to resolve this genus to the species level are needed. In this study, we evaluated the potential of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) for the identification of Photorhabdus species. To this end, we established a collection of 54 isolates consisting of type strains and multiple field strains that belong to each of the validly described species and subspecies of this genus. Reference spectra for the strains were generated and used to complement a currently available database. The extended reference database was then used for identification based on the direct transfer sample preparation method and protein fingerprint of single colonies. High discrimination of distantly related species was observed. However, lower discrimination was observed with some of the most closely related species and subspecies. Our results, therefore, suggest that MALDI-TOF MS can be used to correctly identify Photorhabdus strains at the genus and species level, but has limited resolution power for closely related species and subspecies. Our study demonstrates the suitability and limitations of MALDI-TOF-based identification methods for the assessment of the taxonomical position and identification of Photorhabdus isolates. Impact StatementSpecies of the bacterial genus Photorhabus live in close association with soil-born entomopathogenic nematodes. Under natural conditions, these bacteria are often observed infecting soil-associated arthropods, but under certain circumstances, can also infect humans. They produce a large variety of natural products including antibiotics, insecticides, and polyketide pigments that have substantial agricultural, biotechnological and medical potential. In this study, we implement MALDI-TOF MS-based identification method to resolve the taxonomic identity of this bacterial genus, providing thereby a rapid identification tool to understanding its taxonomic diversity to boost scientific progress in medical, agricultural, and biotechnological settings.