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In-process real-time probiotic phenotypic strain identity tracking: The use of Fourier transform infrared spectroscopy
Probiotic bacteria, capable of conferring benefits to the host, can present challenges in design, development, scale-up, manufacturing, commercialization, and life cycle management. Strain identification is one of the main quality parameters; nevertheless, this task can be challenging since establis...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772554/ https://www.ncbi.nlm.nih.gov/pubmed/36569057 http://dx.doi.org/10.3389/fmicb.2022.1052420 |
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author | Deidda, Francesca Cordovana, Miriam Bozzi Cionci, Nicole Graziano, Teresa Di Gioia, Diana Pane, Marco |
author_facet | Deidda, Francesca Cordovana, Miriam Bozzi Cionci, Nicole Graziano, Teresa Di Gioia, Diana Pane, Marco |
author_sort | Deidda, Francesca |
collection | PubMed |
description | Probiotic bacteria, capable of conferring benefits to the host, can present challenges in design, development, scale-up, manufacturing, commercialization, and life cycle management. Strain identification is one of the main quality parameters; nevertheless, this task can be challenging since established methodologies can lack resolution at the strain level for some microorganisms and\or are labor-intensive and time-consuming. Fourier transform infrared spectroscopy (FTIRS) has been largely used for the investigation of pathogenic species in the clinical field, whereas only recently has been proposed for the identification of probiotic strains. Within the probiotic industrial production, bacterial strains can be subjected to stressful conditions that may affect genomic and phenotypic characteristics; therefore, real-time monitoring of all the sequential growth steps is requested. Considering the fast, low-cost, and high-throughput features, FTIRS is an innovative and functional technology for typing probiotic strains from bench-top experiments to large-scale industrial production, allowing the monitoring of stability and identity of probiotic strains. In this study, the discriminatory power of FTIRS was assessed for four Lactiplantibacillus plantarum probiotic strains grown under different conditions, including temperatures (30 and 37°C) and medium (broth and agar), after consecutive sub-culturing steps. A comparison between the generated spectra with pulsed-field gel electrophoresis (PFGE) profiles was also performed. FTIRS was not only able to distinguish the strains of L. plantarum under different growth conditions but also to prove the phenotypic stability of L. plantarum type strain LP-CT after six growing steps. Regardless of the growth conditions, FTIRS spectra related to LP-CT constituted a unique hierarchical cluster, separated from the other L. plantarum strains. These results were confirmed by a PFGE analysis. In addition, based on FTIRS data, broth cultures demonstrated a higher reproducibility and discriminatory power with respect to agar ones. These results support the introduction of FTIRS in the probiotic industry, allowing for the step-by-step monitoring of massive microbial production while also guaranteeing the stability and purity of the probiotic strain. The proposed novel approach can constitute an impressive improvement in the probiotic manufacturing process. |
format | Online Article Text |
id | pubmed-9772554 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97725542022-12-23 In-process real-time probiotic phenotypic strain identity tracking: The use of Fourier transform infrared spectroscopy Deidda, Francesca Cordovana, Miriam Bozzi Cionci, Nicole Graziano, Teresa Di Gioia, Diana Pane, Marco Front Microbiol Microbiology Probiotic bacteria, capable of conferring benefits to the host, can present challenges in design, development, scale-up, manufacturing, commercialization, and life cycle management. Strain identification is one of the main quality parameters; nevertheless, this task can be challenging since established methodologies can lack resolution at the strain level for some microorganisms and\or are labor-intensive and time-consuming. Fourier transform infrared spectroscopy (FTIRS) has been largely used for the investigation of pathogenic species in the clinical field, whereas only recently has been proposed for the identification of probiotic strains. Within the probiotic industrial production, bacterial strains can be subjected to stressful conditions that may affect genomic and phenotypic characteristics; therefore, real-time monitoring of all the sequential growth steps is requested. Considering the fast, low-cost, and high-throughput features, FTIRS is an innovative and functional technology for typing probiotic strains from bench-top experiments to large-scale industrial production, allowing the monitoring of stability and identity of probiotic strains. In this study, the discriminatory power of FTIRS was assessed for four Lactiplantibacillus plantarum probiotic strains grown under different conditions, including temperatures (30 and 37°C) and medium (broth and agar), after consecutive sub-culturing steps. A comparison between the generated spectra with pulsed-field gel electrophoresis (PFGE) profiles was also performed. FTIRS was not only able to distinguish the strains of L. plantarum under different growth conditions but also to prove the phenotypic stability of L. plantarum type strain LP-CT after six growing steps. Regardless of the growth conditions, FTIRS spectra related to LP-CT constituted a unique hierarchical cluster, separated from the other L. plantarum strains. These results were confirmed by a PFGE analysis. In addition, based on FTIRS data, broth cultures demonstrated a higher reproducibility and discriminatory power with respect to agar ones. These results support the introduction of FTIRS in the probiotic industry, allowing for the step-by-step monitoring of massive microbial production while also guaranteeing the stability and purity of the probiotic strain. The proposed novel approach can constitute an impressive improvement in the probiotic manufacturing process. Frontiers Media S.A. 2022-12-08 /pmc/articles/PMC9772554/ /pubmed/36569057 http://dx.doi.org/10.3389/fmicb.2022.1052420 Text en Copyright © 2022 Deidda, Cordovana, Bozzi Cionci, Graziano, Di Gioia and Pane. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Deidda, Francesca Cordovana, Miriam Bozzi Cionci, Nicole Graziano, Teresa Di Gioia, Diana Pane, Marco In-process real-time probiotic phenotypic strain identity tracking: The use of Fourier transform infrared spectroscopy |
title | In-process real-time probiotic phenotypic strain identity tracking: The use of Fourier transform infrared spectroscopy |
title_full | In-process real-time probiotic phenotypic strain identity tracking: The use of Fourier transform infrared spectroscopy |
title_fullStr | In-process real-time probiotic phenotypic strain identity tracking: The use of Fourier transform infrared spectroscopy |
title_full_unstemmed | In-process real-time probiotic phenotypic strain identity tracking: The use of Fourier transform infrared spectroscopy |
title_short | In-process real-time probiotic phenotypic strain identity tracking: The use of Fourier transform infrared spectroscopy |
title_sort | in-process real-time probiotic phenotypic strain identity tracking: the use of fourier transform infrared spectroscopy |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772554/ https://www.ncbi.nlm.nih.gov/pubmed/36569057 http://dx.doi.org/10.3389/fmicb.2022.1052420 |
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