Abstract

Fourier transform infrared (FTIR) spectroscopy, a technology traditionally used in chemistry to determine the molecular composition of a wide range of sample types, has gained growing interest in microbial typing. It is based on the different vibrational modes of the covalent bonds between atoms of a given sample, as bacterial cells, induced by the absorption of infrared radiation. This technique has been largely used for the study of pathogenic species, especially in the clinical field, and has been proposed also for the typing at different subspecies levels. The high throughput, speed, low cost, and simplicity make FTIR spectroscopy an attractive technique also for industrial applications, in particular, for probiotics. The aim of this study was to compare FTIR spectroscopy with established genotyping methods, pulsed-field gel electrophoresis (PFGE), whole-genome sequencing (WGS), and multilocus sequence typing (MLST), in order to highlight the FTIR spectroscopy potential discriminatory power at strain level. Our study focused on bifidobacteria, an important group of intestinal commensals generally recognized as probiotics. For their properties in promoting and maintaining health, bifidobacteria are largely marketed by the pharmaceutical, food, and dairy industries. Strains belonging to Bifidobacterium longum subsp. longum and Bifidobacterium animalis subsp. lactis were taken into consideration together with some additional type strains. For B. longum subsp. longum, it was possible to discriminate the strains with all the methods used. Although two isolates were shown to be strictly phylogenetically related, constituting a unique cluster, based on PFGE, WGS, and MLST, no clustering was observed with FTIR. For B. animalis subsp. lactis group, PFGE, WGS, and MLST were non-discriminatory, and only one strain was easily distinguished. On the other hand, FTIR discriminated all the isolates one by one, and no clustering was observed. According to these results, FTIR analysis is not only equivalent to PFGE, WGS, and MLST, but also for some strains, in particular, for B. animalis subsp. lactis group, more informative, being able to differentiate strains not discernible with the other two methods based on phenotypic variations likely deriving from certain genetic changes. Fourier transform infrared spectroscopy has highlighted the possibility of using the cell surface as a kind of barcode making tracing strains possible, representing an important aspect in probiotic applications. Furthermore, this work constitutes the first investigation on bifidobacterial strain typing using FTIR spectroscopy.

Highlights

  • Fourier transform infrared (FTIR) spectroscopy is a technology traditionally used in chemistry to determine the molecular composition of a wide range of sample types, and it is based on the different vibrational modes of covalent bonds induced by the absorption of infrared (IR) radiation (Griffiths and De Haseh, 2007; Berthomieu and Hienerwadel, 2009)

  • The multilocus sequence typing (MLST) analysis confirmed that the strains belong to the species B. longum subsp. longum, clustering separately from the type strain B. animalis subsp. lactis BS-CT, used as reference control (Figure 1A)

  • To what was observed for the MLST analysis, strains DLBL07 and DLBL09 shared an OrthoANI value of 100%, while they exhibited values ranging from 98.58 to 98.71% when they were compared with the strains W11 and BL03 (Figure 1B)

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Summary

Introduction

Fourier transform infrared (FTIR) spectroscopy is a technology traditionally used in chemistry to determine the molecular composition of a wide range of sample types, and it is based on the different vibrational modes of covalent bonds induced by the absorption of infrared (IR) radiation (Griffiths and De Haseh, 2007; Berthomieu and Hienerwadel, 2009). Multilocus sequence typing (MLST) (Maiden et al, 1998; Enright and Spratt, 1999) and pulsedfield gel electrophoresis (PFGE) have been largely used for outbreak monitoring and examination (Neoh et al, 2019). In this context, whole-genome sequencing (WGS), which can provide consistent genetic information, has become the new gold standard for identifying, comparing, and classifying microorganisms (Gilchrist et al, 2015). Besides the discriminatory power, it is necessary to consider the high-cost, laborious, and time-consuming laboratory work related to these technologies, which usually limits their routine application (Sabat et al, 2013)

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