Skip to main content

ORIGINAL RESEARCH article

Front. Microbiol., 15 March 2024
Sec. Microbial Physiology and Metabolism
This article is part of the Research Topic Biofilms in Food Microbiology: Hazard or Hope? View all 4 articles

Comparative analysis of biofilm characterization of probiotic Escherichia coli

Huiping LiuHuiping Liu1Jingfang MaJingfang Ma2Pan YangPan Yang1Feng GengFeng Geng1Xueling LiXueling Li3Junhong Lü,
Junhong Lü1,4*Yadi Wang,
Yadi Wang1,4*
  • 1College of Pharmacy, Binzhou Medical University, Yantai, China
  • 2Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China
  • 3Shanghai University of Medicine & Health Sciences, Shanghai, China
  • 4Jinan Microecological Biomedicine Shandong Laboratory, Jinan, China

Biofilms are thought to play a vital role in the beneficial effects of probiotic bacteria. However, the structure and function of probiotic biofilms are poorly understood. In this work, biofilms of Escherichia coli (E. coli) Nissle 1917 were investigated and compared with those of pathogenic and opportunistic strains (E. coli MG1655, O157:H7) using crystal violet assay, confocal laser scanning microscopy, scanning electron microscopy and FTIR microspectroscopy. The study revealed significant differences in the morphological structure, chemical composition, and spatial heterogeneity of the biofilm formed by the probiotic E. coli strain. In particular, the probiotic biofilm can secrete unique phospholipid components into the extracellular matrix. These findings provide new information on the morphology, architecture and chemical heterogeneity of probiotic biofilms. This information may help us to understand the beneficial effects of probiotics for various applications.

1 Introduction

Probiotics, owing to their numerous benefits to host health, have attracted extensive attention in alternative therapy for various diseases (Lynch et al., 2022). E. coli Nissle 1917, for instance, has been used as a probiotic in clinical treatments for many decades, successfully alleviating intestinal disorders such as ulcerative colitis and inflammatory bowel disease (Michael et al., 2021; Lynch et al., 2022; Zhao R. et al., 2022; Zhao Z. et al., 2022). Numerous studies have demonstrated that biofilm formation by probiotic bacteria is a beneficial property through various mechanisms (Fokt et al., 2022; Ramadevi et al., 2023). When the probiotic bacteria colonize on the mucosal surface of the host, they form biofilm to promote colonization and increase their longer permanence while impeding the infection and colonization of other intestinal microorganisms including opportunistic and pathogenic bacteria (Bartram et al., 2023). The probiotics cloud not only stimulate the host’s immune response but also promote the secretion of antimicrobials (Lynch et al., 2022). The ability of different bacterial species to form biofilms and the harmful effects of biofilms associated with pathogenic bacteria have been extensive studied (Hancock et al., 2010a). A lack of detailed characterization and comparison of biofilms hinders our understanding of the underlying mechanisms of probiotic biofilms. Further research in this area is important to fully understand the potential beneficial properties of probiotic biofilms.

Escherichia coli is a non-sporulating, rod-shaped, Gram-negative bacterium commonly used as a model organism in bioengineering and industrial microbiology. While some pathogenic strains of E. coli can cause severe disease (Wasinski, 2019), it is important to note that the majority of E. coli in the normal gut microbiota are harmless. In fact, the presence of probiotic E. coli in the intestine can actively benefit the host by preventing the colonization of pathogenic bacteria. Bacteria commonly exist in biofilms. In nature, bacteria often exist in biofilms, which provide them with protection and stability in changing environments (Sharma et al., 2016). This makes them more resistant to antimicrobials than planktonic cells. Biofilms are complex communities of sessile bacteria that are characterized by the presence of a matrix surrounding the bacterial cells. The matrix contains extracellular polysaccharides, proteins, and extracellular DNA (Sharma et al., 2016; Rossi et al., 2018; Al-Kafaween et al., 2019). However, the differences between E. coli strains in biofilm formation and chemical structure have not yet been explored (Stewart and Franklin, 2008; Hancock et al., 2010b; Beitelshees et al., 2018).

Here we used various techniques, including crystal violet staining, confocal laser scanning microscopy, scanning electron microscopy and FTIR microspectroscopy, to investigate the E. coli biofilm formed by probiotic strains. We also compared their biofilm differences in morphology, structural composition, and spatial heterogeneity with pathogenic and opportunistic E. coli strains under different culture conditions. The results obtained would be help to provide mechanistic insight into the probiotic properties of biofilms for potential application.

2 Materials and methods

2.1 Biofilm culture

Three strains of E. coli namely MG1655, Nissle 1917 and O157:H7 were used in this study. MG1655 was obtained from the Institute of Engineering and Biotechnology, O157:H7 (CICC 21530) was obtained from China Center of Industrial Culture Collection, Nissle 1917 (DM6601) was obtained from German Collection of Microorganisms and Cell Cultures.

Three bacterial strains were inoculated into Luria-Bertani (LB) broth medium and let to grow at 37°C, 220 rpm till logarithmic growth period, respectively. OD600 of the bacterial suspension was measured and adjusted to Abs = 1 (approximately 1 × 109 CFU/mL) using fresh LB broth, and then it was further diluted 100 times to OD600 = 0.01. Then they were transferred into a 24-well cell culture plate (Corning, CLS3524) respectively. Then they were incubated at 25°C for 12, 24, 36, 48, or 60 h. After that, supernatant containing planktonic cells were removed and the wells were gently rinsed thrice with pure water.

2.2 Crystal violet (CV) assay

Biofilms were stained with 0.1% (V/V) crystal violet for 20 min, rinsed three times with pure water, and the wells were dried completely. 95% (V/V) ethanol was added to each well and kept for 15 min to resuspend the stained biofilms completely. The resulting absorbance at 595 nm was measured using a spectrophotometer.

2.3 Confocal laser scanning microscopy (CLSM) characterization

Bacterial cells with an initial concentration of OD600 = 0.01 in LB broth medium were transferred into glass-bottomed dishes (Cellvis, D29-14-1-N) and incubated at 25°C for 24 or 48 h to form biofilms, respectively. Subsequently, supernatant was removed and the biofilms attached on the dish were rinsed gently three times in PBS. The biofilms were then stained with SYTO 9 (Invitrogen, L13152) according to the manufacturer’s instructions, briefly, 3 μM SYTO 9 stain was added to the biofilms and incubate at room temperature in the dark for 15 min. Then it was examined using confocal laser scanning microscopy (ZEISS LSM 880) with an excitation of 488 nm. Three-dimensional images of the biofilms were generated through Z-stack imaging, utilized the Zen Black software (Zeiss, Oberkochen, Germany). Image J was subsequently used to calculate the integrated density.

2.4 Scanning electron microscopy (SEM) characterization

Bacterial cells with an initial concentration of OD600 = 0.01 in LB broth medium were transferred into a 24-well cell culture plate respectively, with each well containing a piece of sterile cover slip. Then the plates were incubated in a 25°C incubator for 24 or 48 h. Biofilms would grow and attach on cover slips. Prior to observation, the biofilms were fixed using a 2.5% (V/V) glutaraldehyde solution for 4 h, followed by rinsing with PBS three times. Gradient dehydration was performed using ethanal concentrations (V/V) of 30, 50, 70, 80, 95, and 100% for ten minutes each. After CO2 critical point drying and gold sputter coating, the samples were observed using a scanning electron microscope (Zeiss, Germany, EVO LS15).

2.5 FTIR microspectroscopy experiment

Bacterial cells with an initial concentration of OD600 = 0.01 in LB broth medium were transferred into a 24-well cell culture plate respectively, with each well containing a piece of sterile CaF2 window. Then the plates were incubated in a 25°C incubator for 48 h. Subsequently, the CaF2 windows were rinsed three times with deionized water to eliminate any planktonic microorganisms. The windows were then immersed in a 4% paraformaldehyde solution for 30 min, followed by another wash with deionized water and left to dry at room temperature. Finally, FTIR microspectroscopy investigations were carried out at the beamline BL01B and BL06B of Shanghai Synchrotron Radiation Facility (SSRF). The aperture was set to 30 × 30 μm with a step size of 15 × 15 μm. The spectral range was 4,000–650 cm−1 with a spectral resolution of 4 cm−1, and each spectrum comprised 32 co-added scans.

2.6 Data analysis

Following IR mapping images, 9-point smoothing, baseline correction and normalization on CytoSpec were carried out. PCA (principal component analysis) and heterogeneity analysis were subsequently executed on Matlab R2021b, as detailed in our previous publications (Baker et al., 2014; Wang et al., 2023a,b).

Hypothesis testing was conducted to characterize the significance of differences between groups by GraphPad Prism7. Then, the IR peak positions of each biofilm were statistically analyzed and compared by two-sample t test.

3 Results and discussion

3.1 Biofilm mass estimation

The ability of the probiotic E. coli Nissle 1917 to form biofilms is compared with the opportunistic strain MG1655 and the pathogenic strain O157:H7. Crystal violet (CV) is a membrane-permeable basic trianiline dye that can be used to quantitatively assess biofilm biomass (Lianou and Koutsoumanis, 2012; Wilson et al., 2017). Three E. coli strains were inoculated into 24-well plates and incubated at 25°C each (Mathlouthi et al., 2018). After staining with CV, the formed biofilms were quantitatively analyzed by measuring the optical density at 595 nm. As shown in Figures 1A,B, the biofilm formation ability of MG1655 was the strongest, followed by Nissle1917, while O157:H7 was the weakest. The biomasses of biofilm formation of the strains were low at 12 h, then increased significantly from 24 h and increased along with time to reach the maximum value at 48 h, after which it started to decrease. This meant that the three E. coli biofilms started to enter the attachment stage at about 12 h, then enter the colonization and development stage from 24 h to reach the maturity stage at about 48 h, after which they started to disperse and colonize elsewhere, so the density of the organisms may start to decrease (Nag and Lahiri, 2021). Apart from this, when the biofilms are fully mature, the lack of sufficient space and nutrition will also lead to the death of microbial cells (Tahmourespour, 2012). The biofilm mass of the three strains started to differ significantly at 24 h, at which time the amount of biofilm formed in Nissle 1917 is 4.2 times less than MG1655, and 2.4 times more than O157:H7. At both 48 h and 60 h, the amount of biofilm formed by Nissle 1917 is approximately 5 times less than MG1655, and 2 times more than O157:H7. In conclusion, the biofilms of the three E. coli strains all enter the colonization and development stage from 24 h and enter the maturity stage at around 48 h, with MG1655 forming more the amount of biofilm mass, followed by Nissle 1917 and O157:H7. Note that, in a recent paper, Ramadevi et al. found that Nissle 1917 could form more the amount of biofilm compared to MG1655 at 37°C for 48 h, although two strains have a similar growth rate (Ramadevi et al., 2023). The difference may be due to the different temperatures used in our experiments. Gill et al. reported that Nissle 1917 forms biofilm in a temperature-dependent manner (Gill et al., 2019). Comprehensive analysis of the various physiological conditions, including temperature, nutrient, pH and osmotic stress, on the probiotic activity is necessary for its clinical application.

Figure 1
www.frontiersin.org

Figure 1. Comparison of the biofilm formation ability of probiotic E. coli strain with opportunistic and pathogenic strains, accessed using crystal violet (CV) staining. The biofilms of probiotic E. coli strain Nissle 1917, opportunistic pathogenic strain MG1655 and pathogenic strain O157:H7 biofilms were allowed to grow for 0, 12, 24, 36, 48, and 60 h. Blank indicated the wells containing only culture media and incubated for 60 h. The mass of biofilms was then measured using CV staining. Images of the biofilms can be seen in (A) and the corresponding values of CV absorbance at 595 nm are presented in (B).

3.2 Biofilm morphological characterization

The morphologies of probiotic, opportunistic and pathogenic E. coli biofilms were observed using confocal laser scanning microscopy (CLSM), which has been used to map biofilms and quantify the distribution of extracellular proteins, polysaccharides, lipids, nucleic acids, and other biomolecules (Zhang et al., 2019). To visualize their growth characteristics and status, the biofilms (Nissle 1917, MG1655 and O157:H7) were allowed to grow for 24 h and 48 h, respectively, then the bacterial cells were stained with SYTO 9 and scanned under 488 nm excitation. The two-dimensional and layered three-dimensional scanning images of the three E. coli biofilms are shown in Figure 2. It can be seen that, at the 24 h, which corresponds to the colonization and development stage indicated in Figure 1, many bacterial cells adhere to the surface and form microcolonies in Nissle 1917 and MG1655, and the number of cells in MG1655 was higher than that in Nissle 1917, whereas only a few microcolonies adhere to the surface in O167:H7. After incubation for 48 h to the maturation stage of biofilms, Nissle 1917 colonies were connected over a large area forming thick communities of 3.53 μm; MG1655 has the thickest biofilm of 6.67 μm with many “island” shaped structures which indicating a more mature biofilm with complex three-dimensional communities; pathogenic O157:H7 has the thinnest biofilm of 1.96 μm, microcolonies were loosely dispersed. The integrated density was also calculated and shown in Figure 2 (right), it can be seen that at 24 h, the biomass of Nissle 1917 and MG1655 was greater than O157:H7; at 48 h, MG1655 had the most biofilm mass while O157:H7 had the least. These results are consistent with Figure 1, where biofilms formed by opportunistic pathogenic E. coli were the thickest, while pathogenic E. coli were the thinnest, and biofilms formed by probiotic E. coli were somewhere in between. It is well known that the attachment of the bacterial cell to a particular region is required for biofilm formation (Ramadevi et al., 2023). We can expect that the production of curli in probiotic E. coli will be modest.

Figure 2
www.frontiersin.org

Figure 2. Analysis of probiotic, opportunistic and pathogenic E. coli biofilms using CLSM. Representative fluorescence microscopic images present the formations of biofilm by three E. coli strains: Nissle 1917, MG1655 and O157:H7 after 24 h and 48 h of growth, respectively. The scale bar in two-dimensional images was 20 μm; while in the three-dimensional ones, an area of 140 μm × 140 μm was examined. The integrated densities depicted on the right were calculated based on the two-dimensional images with three replicates for each treatment.

SEM was also used to examine the differences in the spatial structure between the three E. coli biofilms (Figure 3). The results showed, all three bacteria adhered to the surface after 24 h. In addition, Nissle 1917 formed a single layer of microcolonies; MG1655 not only formed a few layers of microcolonies, but also started to produce extracellular polymeric substances (EPS); the number of attached microbial cells of O157:H7 is relatively less. After 48 h, the biofilms of all three bacteria were more mature: Nissle 1917 biofilms consisted of several layers of microbial cells and some EPS structures; MG1655 biofilms formed stable three-dimensional communities with channels inside; O157:H7 biofilms had fewer layers and less EPS compared to the other two. All the three E. coli strains formed complex bacterial communities in biofilm structures, through which they may improve their quorum sensing among microbes and increase their tolerance to survive in harsh environments (Annous et al., 2009).

Figure 3
www.frontiersin.org

Figure 3. Comparison of the morphology of E. coli biofilms between probiotic opportunistic and pathogenic strains using scanning electron microscopy (SEM). The images depict the attachment of three E. coli strains, Nissle 1917 (probiotics), MG1655 (opportunistic) and OH157:H7 (pathogen), to surfaces for 24 and 48 h at 25°C.

3.3 Biofilm chemical component analysis

The previous results indicated the differences in biomass and morphology between the three biofilms, to further explore the metabolic phenotypic differences, their chemical components were thoroughly analyzed. FTIR spectroscopy has been widely used to characterize the fatty acid, protein, polysaccharide and nucleic acid compositions in biomaterials without any complex sample preparation procedures (Cheeseman et al., 2021; Chirman and Pleshko, 2021; Sportelli et al., 2022; Wang et al., 2023b), so it was further applied to find out the biochemical molecular component differences between the three E. coli biofilms. MG 1655, Nissle 1917 and O157:H7 biofilms were imaged by FTIR microspectroscopy, and 140 individual IR absorption spectra of each biofilm were collected. The averaged spectra of each biofilm are shown in Figure 4A, with eight main absorption peak positions indicated on the graph. It can be seen that the absorption peaks of three biofilms were different, to find out whether the difference was statistically significant, all the 140 IR spectra of each biofilm were statistically analyzed, the results are shown in Figure 4B. Eight absorption bands were identified: 2,970–2,950 cm−1 (C-H asymmetric stretching vibrations of methyl groups in the fatty acids), 2,945–2,920 cm−1 (C-H asymmetric stretching vibrations of methylene groups in fatty acids), 1,657–1,650 cm−1 (amide I of α-helical structures in proteins), 1,550–1,530 cm−1 (amide II in proteins), 1,470–1,440 cm−1 (C-H deformations of methylene groups), 1,410–1,385 cm−1 (C=O symmetric stretching vibrations of COO), 1,255–1,235 cm−1 (P=O asymmetric stretching vibrations of >PO2), 1,105–1,075 cm−1 (P=O symmetric stretching vibrations of >PO2) (Lasch and Naumann, 2015). The results showed that Nissle 1917 had significantly different absorption peaks with MG1655 and O157:H7 at 2934.1 cm−1, indicating that the methylene groups in the fatty acids of the Nissle 1917 biofilm had different components from the other two biofilms. Similarly, O157:H7 had significantly different amide I components compared to Nissle 1917 and MG1655 biofilms. So far, we do not know the biological significance of the different chemical components between these strains. However, the infrared data provide useful clues to understanding the role of chemical molecules in the biofilm formation and probiotic properties. To the best of our knowledge, this is the first report on the comparison of microbial biofilms between different strains of the same species.

Figure 4
www.frontiersin.org

Figure 4. Comparison of chemical component in three E. coli biofilms using FTIR microspectroscopy. (A) The Averaged IR absorbance spectra of Nissle 1917, MG1655 and O157:H7 biofilms cultured for 24 h were labeled with the main absorption bands on the graph to show the differences in their chemical composition. (B) The graphs present eight absorption peak positions of the E. coli biofilms, with Nissle 1917, MG1655 and O157:H7 listed on the x-axis and the peak positions on the y-axis. Statistical significance is indicated as follows: ****p < 0.0001, ***p < 0.001, **p < 0.01, *p < 0.05, n.s. p > 0.05. A horizontal line on the boxplot represents the mean value, while error bar depicts 1.5 × SD. 140 replicates for each sample. (C) Principal Component Analysis (PCA) was conducted on the IR absorbance spectra of the three E. coli biofilms. Circles indicate the 95% confidence interval. Spectral region 3,000–2,800 cm−1 and 1,800–900 cm−1 were selected, with 100 spectra obtained per sample. The corresponding loading plots for PC1 and PC2 were presented in (D). (E) PCA was performed on the fatty acid component (spectrum region 3,000–2,800 cm−1), the protein component (1800–1,500 cm−1) and the polysaccharide and nucleic acid component (1200–900 cm−1) component of the three biofilms.

In order to visualize the differences in the metabolism of the three biofilms in a more intuitive way, a PCA based on whole molecular components (3,000–2,800 cm−1, 1,800–900 cm−1) was also performed, see Figure 4C. It can be seen that the three biofilms can be completely distinguished, indicating that the biochemical molecular components are significantly different. The loading plot of the PCA was shown in Figure 4D, in principle component 1 (PC1), the bands around 1,122 cm−1 (corresponding to polysaccharides) contributed the most, while in PC2 the bands around 1,479 cm−1 (corresponding to fatty acids), 1,085 cm−1 (corresponding to nucleic acids) and 1,016 cm−1 (corresponding to polysaccharides) contributed the most. To find out which biomolecules differed between the three biofilms, PCA was performed on three spectral regions: fatty acid (3,000–2,800 cm−1), protein (1,800–1,500 cm−1) and polysaccharide & nucleic acid (1,200–900 cm−1), respectively (Figure 4E). It can be seen that, Nissle 1917 biofilm has significantly different fatty acid components, O157:H7 has significantly different nucleic acid and polysaccharide components, while their protein component shows partial similarities. Probiotic Nissle 1917 biofilms may secrete specific phospholipid components into the extracellular matrix, which may play an important role in establishing a healthy microenvironment in the human gut; whereas pathogenic O157:H7 biofilm may secrete specific exopolysaccharides and extracellular nucleic acids into the extracellular matrix to produce its toxicity and pathogenicity (Soliemani et al., 2022). Further analysis and identification of these intracellular or extracellular metabolites, for example by using mass spectrometry (MS), will help to elucidate the network of different metabolic pathways during biofilm formation.

The spatial distribution characteristics of the chemical composition of the three E. coli biofilms were further characterized by FTIR microspectroscopy; for each biofilm, the optical image and corresponding IR absorption images based on fatty acid, protein and nucleic acid are shown in Figure 5A. It can be seen that the spatial distribution of the biomolecules was inhomogeneous. The spatial heterogeneity of the biofilms was then evaluated quantitatively (Figure 5B). On the histogram, row 1 column 1, row 2 column 2 and row 3 column 3 indicated the within-group heterogeneity of Nissle 1917, MG1655 and O157:H7 biofilms, respectively; row 2 column 1 indicated inter-group heterogeneity of Nissle1917-MG1655, row 3 column 1 indicated Nissle1917-O157:H7, row 3 column 2 MG1655-O157:H7. The results showed that the inner-group heterogeneity of Nissle1917 and O157:H7 was relatively low, with a relatively sharp peak shape and peak positions less than 1. This proved that the spatial distribution of the biomolecules of the two biofilms was relatively uniform. The inter-group heterogeneity between Nissle1917-O157:H7 was greater than that between Nissle1917-MG1655 and MG1655-O157:H7, suggesting that the biochemical differences of biofilms between probiotic E. coli Nissle 1917 and pathogenic O157:H7 were much greater than those between Nissle 1917 and opportunistic MG1655. The clear biochemical heterogeneity between the three stains supports the idea that the spatial structures of the biofilms may be related to their biological activity. Further experiments are in progress.

Figure 5
www.frontiersin.org

Figure 5. Quantitively analysis of spatial heterogeneity of three E. coli biofilms through FTIR microspectroscopy. (A) Optical and corresponding IR mapping images of Nissle 1917, MG1655 and O157:H7 biofilms were presented, IR images were detecting acquired based on the peak areas between 3,000–2,800 cm−1 (fatty acids), 1700–1,600 cm−1 (proteins) and 1,200–1,000 cm−1 (polysaccharides), respectively. (B) Heterogeneity was analyzed between each two E. coli biofilms based on the spatial IR absorption spectra extracted from (A), three large rows and columns indicate Nissle 1917, MG1655 and O157:H7, respectively. Hierarchical cluster analysis (HCA)-heatmap was presented at the top right, and heterogeneity histograms were shown at the bottom left. The x-axis depicted the heterogeneity between two biofilms, larger values indicated higher heterogeneity.

4 Conclusion

In this work, we have characterized the biofilm of the probiotic strain E. coli Nissle 1917. Two other E. coli strains, pathogenic O157:H7 and opportunistic O157:H7, were used for comparison to find the unique features in the probiotic biofilm. The biofilm mass, structural features and chemical compositions of these three strains were investigated by using crystal violet assay, confocal laser scanning microscopy, scanning electron microscopy and FTIR microspectroscopy, respectively. The results showed that the probiotic strain had the better ability in biofilm formation than the pathogenic strain O157:H7, but less than the opportunistic strain MG1655. Similarly, the morphology of the probiotic biofilm formed was thicker and contained more EPS than that of the pathogenic strain. Interestingly, chemical composition analysis revealed that strain Nissle 1917 possesses the unique methylene groups in biofilm fatty acids and may secrete specific phospholipid components into the extracellular matrix. Furthermore, the biochemical heterogeneity in the probiotic Nissle 1917 biofilm is far from the pathogenic O157:H7 but close to the opportunistic MG1655. To the best of our knowledge, this is the first report on the comparison of microbial biofilms between different strains of the same species. These findings not only provide more information on the morphology, architecture and chemical composition of the probiotic biofilms, but also provide valuable clues to understanding the mechanism of probiotic action in biofilm formation for their clinical and therapeutic applications. In addition, this work also provides new insights into the role of biofilm in the beneficial or pathogenic properties of a microbe. Importantly, the application of FTIR microspectroscopy allows the spatial heterogeneity and unique chemical components in the biofilm or its matrix to be studied, providing a novel methodology for biofilm research. Given the attachment is required for biofilm formation in the human gut, the influence of host matrices on the probiotic biofilms will be an interesting topic to explore.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Author contributions

HL: Writing – original draft, Investigation, Formal analysis. JM: Writing – original draft, Investigation. PY: Writing – original draft, Investigation. FG: Writing – original draft, Methodology. XL: Writing – original draft, Methodology. JL: Writing – review & editing, Funding acquisition, Conceptualization. YW: Writing – review & editing, Funding acquisition, Data curation, Conceptualization.

Funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was partly financial supported by Shandong Provincial Natural Science Foundation (ZR2021QC029), the Research Project of Jinan Microecological Biomedicine Shandong Laboratory (JNL-2022021B), NSAF Joint Fund of National Natural Science Foundation of China (U2230110), and Shanghai International Science & Technology Cooperation Program (22490714400).

Acknowledgments

We thank the staff members at BL01B beamline of National Facility for Protein Science in Shanghai (NFPS) and BL06B beamline at Shanghai Synchrotron Radiation Facility, for providing technical support and assistance in data collection and analysis.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Al-Kafaween, M. A., Khan, R. S., Hilmi, A. B. M., and Ariff, T. M. (2019). Characterization of biofilm formation by Escherichia coli: an in vitro study. J. App. Biol. Biotech. 7, 17–19. doi: 10.7324/jabb.2019.70304

Crossref Full Text | Google Scholar

Annous, B. A., Fratamico, P. M., and Smith, J. L. (2009). Quorum sensing in biofilms: why bacteria behave the way they do. J. Food Sci. 74, 28–41. doi: 10.1111/j.1750-3841.2008.01022.x

Crossref Full Text | Google Scholar

Baker, M. J., Trevisan, J., Bassan, P., Bhargava, R., Butler, H. J., Dorling, K. M., et al. (2014). Using Fourier transform IR spectroscopy to analyze biological materials. Nat. Protoc. 9, 1771–1791. doi: 10.1038/nprot.2014.110

PubMed Abstract | Crossref Full Text | Google Scholar

Bartram, E., Asai, M., Gabant, P., and Wigneshweraraj, S. (2023). Enhancing the antibacterial function of probiotic Escherichia coli Nissle: when less is more. Appl. Environ. Microbiol. 89:e0097523. doi: 10.1128/aem.00975-23

PubMed Abstract | Crossref Full Text | Google Scholar

Beitelshees, M., Hill, A., Jones, C. H., and Pfeifer, B. A. (2018). Phenotypic variation during biofilm formation: implications for anti-biofilm therapeutic design. Materials 11:1086. doi: 10.3390/ma11071086

PubMed Abstract | Crossref Full Text | Google Scholar

Cheeseman, S., Shaw, Z. L., Vongsvivut, J., Crawford, R. J., Dupont, M. F., Boyce, K. J., et al. (2021). Analysis of pathogenic bacterial and yeast biofilms using the combination of synchrotron ATR-FTIR microspectroscopy and Chemometric approaches. Molecules 26:890. doi: 10.3390/molecules26133890

PubMed Abstract | Crossref Full Text | Google Scholar

Chirman, D., and Pleshko, N. (2021). Characterization of bacterial biofilm infections with Fourier transform infrared spectroscopy: a review. Appl. Spectrosc. Rev. 56, 673–701. doi: 10.1080/05704928.2020.1864392

Crossref Full Text | Google Scholar

Fokt, H., Cleto, S., Oliveira, H., Araujo, D., Castro, J., Cerca, N., et al. (2022). Bacteriocin production by Escherichia coli during biofilm development. Food Secur. 11:652. doi: 10.3390/foods11172652

PubMed Abstract | Crossref Full Text | Google Scholar

Gill, J., Lau, K., Lee, T., and Lucas, H. (2019). Escherichia coli Nissle 1917 forms bioflm and outgrows Escherichia coli K12 in a temperature-dependent manner. UJEMI 24, 1–8.

Google Scholar

Hancock, V., Dahl, M., and Klemm, P. (2010a). Probiotic Escherichia coli strain Nissle 1917 outcompetes intestinal pathogens during biofilm formation. J. Med. Microbiol. 59, 392–399. doi: 10.1099/jmm.0.008672-0

PubMed Abstract | Crossref Full Text | Google Scholar

Hancock, V., Vejborg, R. M., and Klemm, P. (2010b). Functional genomics of probiotic Escherichia coli Nissle 1917 and 83972, and UPEC strain CFT073: comparison of transcriptomes, growth and biofilm formation. Mol. Gen. Genomics. 284, 437–454. doi: 10.1007/s00438-010-0578-8

PubMed Abstract | Crossref Full Text | Google Scholar

Lasch, P., and Naumann, D. (2015). Infrared spectroscopy in microbiology. Hoboken, NJ: John Wiley & Sons, Ltd.

Google Scholar

Lianou, A., and Koutsoumanis, K. P. (2012). Strain variability of the biofilm-forming ability of Salmonella enterica under various environmental conditions. Int. J. Food Microbiol. 160, 171–178. doi: 10.1016/j.ijfoodmicro.2012.10.002

PubMed Abstract | Crossref Full Text | Google Scholar

Lynch, J. P., Goers, L., and Lesser, C. F. (2022). Emerging strategies for engineering Escherichia coli Nissle 1917-based therapeutics. Trends Pharmacol. Sci. 43, 772–786. doi: 10.1016/j.tips.2022.02.002

PubMed Abstract | Crossref Full Text | Google Scholar

Mathlouthi, A., Pennacchietti, E., and De Biase, D. (2018). Effect of temperature, pH and plasmids on in vitro biofilm formation in Escherichia coli. Acta Nat. 10, 129–132. doi: 10.32607/20758251-2018-10-4-129-132

Crossref Full Text | Google Scholar

Michael, H., Paim, F. C., Miyazaki, A., Langel, S. N., Fischer, D. D., Chepngeno, J., et al. (2021). Escherichia coli Nissle 1917 administered as a dextranomar microsphere biofilm enhances immune responses against human rotavirus in a neonatal malnourished pig model colonized with human infant fecal microbiota. PLoS One 16:e0246193. doi: 10.1371/journal.pone.0246193

PubMed Abstract | Crossref Full Text | Google Scholar

Nag, M., and Lahiri, D. (2021). Analytical methodologies for biofilm research. Springer: New York, NY.

Google Scholar

Ramadevi, S., Shelin, R., and Shanmugaraja, M. (2023). Comprehensive analysis of the physiological characterization of Escherichia coli Nissle 1917. Curr. Microbiol. 80:150. doi: 10.1007/s00284-023-03253-9

PubMed Abstract | Crossref Full Text | Google Scholar

Rossi, E., Cimdins, A., Lüthje, P., Brauner, A., Sjöling, Å., Landini, P., et al. (2018). "It's a gut feeling" – Escherichia coli biofilm formation in the gastrointestinal tract environment. Crit. Rev. Microbiol. 44, 1–30. doi: 10.1080/1040841x.2017.1303660

PubMed Abstract | Crossref Full Text | Google Scholar

Sharma, G., Sharma, S., Sharma, P., Chandola, D., Dang, S., Gupta, S., et al. (2016). Escherichia coli biofilm: development and therapeutic strategies. J. Appl. Microbiol. 121, 309–319. doi: 10.1111/jam.13078

PubMed Abstract | Crossref Full Text | Google Scholar

Soliemani, O., Salimi, F., and Rezaei, A. (2022). Characterization of exopolysaccharide produced by probiotic Enterococcus durans DU1 and evaluation of its anti-biofilm activity. Arch. Microbiol. 204:419. doi: 10.1007/s00203-022-02965-z

PubMed Abstract | Crossref Full Text | Google Scholar

Sportelli, M. C., Kranz, C., Mizaikoff, B., and Cioffi, N. (2022). Recent advances on the spectroscopic characterization of microbial biofilms: a critical review. Anal. Chim. Acta 1195:339433. doi: 10.1016/j.aca.2022.339433

PubMed Abstract | Crossref Full Text | Google Scholar

Stewart, P. S., and Franklin, M. J. (2008). Physiological heterogeneity in biofilms. Nat. Rev. Microbiol. 6, 199–210. doi: 10.1038/nrmicro1838

Crossref Full Text | Google Scholar

Tahmourespour, A. (2012). Probiotics and the reduction of dental caries risk, contemporary approach to dental caries. InTech, 271–288. doi: 10.5772/36661

Crossref Full Text | Google Scholar

Wang, Y., Gao, Y., Li, X., Tian, G., and Lu, J. (2023a). Single-cell infrared phenomics identifies cell heterogeneity of individual pancreatic islets in mouse model. Anal. Chim. Acta 1258:341185. doi: 10.1016/j.aca.2023.341185

PubMed Abstract | Crossref Full Text | Google Scholar

Wang, Y., Liu, H., Geng, F., Yang, P., Lu, J., and Li, X. (2023b). Label-free analysis of biofilm phenotypes by infrared micro- and correlation spectroscopy. Anal. Bioanal. Chem. 415, 3515–3523. doi: 10.1007/s00216-023-04741-4

PubMed Abstract | Crossref Full Text | Google Scholar

Wasinski, B. (2019). Extra-intestinal pathogenic Escherichia coli – threat connected with food-borne infections. Ann. Agric. Environ. Med. 26, 532–537. doi: 10.26444/aaem/111724

PubMed Abstract | Crossref Full Text | Google Scholar

Wilson, C., Lukowicz, R., Merchant, S., Valquier-Flynn, H., Caballero, J., Sandoval, J., et al. (2017). Quantitative and qualitative assessment methods for biofilm growth: a mini-review. Res. Rev. J. Eng. Technol. 6

Google Scholar

Zhang, P., Chen, Y. P., Qiu, J. H., Dai, Y. Z., and Feng, B. (2019). Imaging the microprocesses in biofilm matrices. Trends Biotechnol. 37, 214–226. doi: 10.1016/j.tibtech.2018.07.006

PubMed Abstract | Crossref Full Text | Google Scholar

Zhao, R., Li, Z., Sun, Y., Ge, W., Wang, M., Liu, H., et al. (2022). Engineered Escherichia coli Nissle 1917 with urate oxidase and an oxygen-recycling system for hyperuricemia treatment. Gut Microbes 14:2070391. doi: 10.1080/19490976.2022.2070391

PubMed Abstract | Crossref Full Text | Google Scholar

Zhao, Z., Xu, S., Zhang, W., Wu, D., and Yang, G. (2022). Probiotic Escherichia coli NISSLE 1917 for inflammatory bowel disease applications. Food Funct. 13, 5914–5924. doi: 10.1039/d2fo00226d

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: biofilms, infrared spectroscopy, Escherichia coli , probiotics, spatial heterogeneity

Citation: Liu H, Ma J, Yang P, Geng F, Li X, Lü J and Wang Y (2024) Comparative analysis of biofilm characterization of probiotic Escherichia coli. Front. Microbiol. 15:1365562. doi: 10.3389/fmicb.2024.1365562

Received: 04 January 2024; Accepted: 04 March 2024;
Published: 15 March 2024.

Edited by:

Matthew Cabeen, Oklahoma State University, United States

Reviewed by:

Rasoul Shafiei, University of Isfahan, Iran
Mohammad Mabrouk Aboulwafa, Ain Shams University, Egypt

Copyright © 2024 Liu, Ma, Yang, Geng, Li, Lü and Wang. 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.

*Correspondence: Junhong Lü, lvjunhong@jnl.ac.cn; Yadi Wang, wangyd@bzmc.edu.cn

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.