1887

Abstract

Recent mesoscopic characterization of nutrient-transporting channels in has allowed the identification and measurement of individual channels in whole mature colony biofilms. However, their complexity under different physiological and environmental conditions remains unknown. Analysis of confocal micrographs of colony biofilms formed by cell shape mutants of shows that channels have high fractal complexity, regardless of cell phenotype or growth medium. In particular, colony biofilms formed by the mutant strain Δ, which has a wide-cell phenotype, have a higher fractal dimension when grown on rich medium than when grown on minimal medium, with channel complexity affected by glucose and agar concentrations in the medium. Osmotic stress leads to a dramatic reduction in the Δ cell size but has a limited effect on channel morphology. This work shows that fractal image analysis is a powerful tool to quantify the effect of phenotypic mutations and growth environment on the morphological complexity of internal biofilm structures. If applied to a wider range of mutant strains, this approach could help elucidate the genetic determinants of channel formation in colony biofilms.

Keyword(s): Biofilms , Image analysis and Microscopy
Funding
This study was supported by the:
  • Royal Academy of Engineering (Award RCSRF2021/11/15)
    • Principle Award Recipient: PaulA. Hoskisson
  • Leverhulme Trust
    • Principle Award Recipient: PaulA. Hoskisson
  • Medical Research Council (Award MR/V011499/1)
    • Principle Award Recipient: PaulA. Hoskisson
  • Biotechnology and Biological Sciences Research Council (Award BB/T001038/1 and BB/T004126/1)
    • Principle Award Recipient: PaulA. Hoskisson
  • Leverhulme Trust
    • Principle Award Recipient: GailMcConnell
  • Biotechnology and Biological Sciences Research Council (Award BB/T011602/1, BB/V019643/1, BBX005178/1)
    • Principle Award Recipient: GailMcConnell
  • Medical Research Council (Award MR/K015583/1, MRW030381/1)
    • Principle Award Recipient: GailMcConnell
  • Leverhulme Trust
    • Principle Award Recipient: LiamRooney
  • University of Strathclyde (Award Student Excellence Award)
    • Principle Award Recipient: BeatriceBottura
  • This is an open-access article distributed under the terms of the Creative Commons Attribution License. This article was made open access via a Publish and Read agreement between the Microbiology Society and the corresponding author’s institution.
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2024-11-05
2024-12-02
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References

  1. Hogan BL. Morphogenesis. Cell 1999; 96:225–233 [View Article] [PubMed]
    [Google Scholar]
  2. Eigentler L, Davidson FA, Stanley-Wall NR. Mechanisms driving spatial distribution of residents in colony biofilms: an interdisciplinary perspective. Open Biol 2022; 12:220194 [View Article] [PubMed]
    [Google Scholar]
  3. Obert M, Pfeifer P, Sernetz M. Microbial growth patterns described by fractal geometry. J Bacteriol 1990; 172:1180–1185 [View Article] [PubMed]
    [Google Scholar]
  4. Hermanowicz SW, Schindler U, Wilderer P. Fractal structure of biofilms: new tools for investigation of morphology. Water Sci Technol 1995; 32:99–105 [View Article]
    [Google Scholar]
  5. Moreau ALD, Lorite GS, Rodrigues CM, Souza AA, Cotta MA. Fractal analysis of Xylella fastidiosa biofilm formation. J Appl Phys 2009; 106:2 [View Article]
    [Google Scholar]
  6. Beyenal H, Donovan C, Lewandowski Z, Harkin G. Three-dimensional biofilm structure quantification. J Microbiol Methods 2004; 59:395–413 [View Article] [PubMed]
    [Google Scholar]
  7. Matsuyama T, Matsushita M. Self-similar colony morphogenesis by gram-negative rods as the experimental model of fractal growth by a cell population. Appl Environ Microbiol 1992; 58:1227–1232 [View Article] [PubMed]
    [Google Scholar]
  8. Wang J, Li X, Kong R, Wu J, Wang X. Fractal morphology facilitates Bacillus subtilis biofilm growth. Environ Sci Pollut Res 2022; 29:56168–56177 [View Article]
    [Google Scholar]
  9. Tomoiaga D, Bubnell J, Herndon L, Feinstein P. High rates of plasmid cotransformation in E. coli overturn the clonality myth and reveal colony development. Sci Rep 2022; 12:11515 [View Article] [PubMed]
    [Google Scholar]
  10. Nuñez IN, Matute TF, Del Valle ID, Kan A, Choksi A et al. Artificial symmetry-breaking for morphogenetic engineering bacterial colonies. ACS Synth Biol 2017; 6:256–265 [View Article] [PubMed]
    [Google Scholar]
  11. Rudge TJ, Federici F, Steiner PJ, Kan A, Haseloff J. Cell polarity-driven instability generates self-organized, fractal patterning of cell layers. ACS Synth Biol 2013; 2:705–714 [View Article] [PubMed]
    [Google Scholar]
  12. Gralka M, Stiewe F, Farrell F, Möbius W, Waclaw B et al. Allele surfing promotes microbial adaptation from standing variation. Ecol Lett 2016; 19:889–898 [View Article] [PubMed]
    [Google Scholar]
  13. Kayser J, Schreck CF, Yu Q, Gralka M, Hallatschek O. Emergence of evolutionary driving forces in pattern-forming microbial populations. Phil Trans R Soc B 2018; 373:20170106 [View Article]
    [Google Scholar]
  14. Borer B, Ciccarese D, Johnson D, Or D. Spatial organization in microbial range expansion emerges from trophic dependencies and successful lineages. Commun Biol 2020; 3:685 [View Article] [PubMed]
    [Google Scholar]
  15. Amor DR, Montañez R, Duran-Nebreda S, Solé R. Spatial dynamics of synthetic microbial mutualists and their parasites. PLoS Comput Biol 2017; 13:e1005689 [View Article] [PubMed]
    [Google Scholar]
  16. Rooney LM, Amos WB, Hoskisson PA, McConnell G. Intra-colony channels in E. coli function as a nutrient uptake system. ISME J 2020; 14:2461–2473 [View Article] [PubMed]
    [Google Scholar]
  17. Bottura B, Rooney LM, Hoskisson PA, McConnell G. Intra-colony channel morphology in Escherichia coli biofilms is governed by nutrient availability and substrate stiffness. Biofilm 2022; 4:100084 [View Article] [PubMed]
    [Google Scholar]
  18. Baba T, Ara T, Hasegawa M, Takai Y, Okumura Y et al. Construction of Escherichia coli K-12 in-frame, single-gene knockout mutants: the Keio collection. Mol Syst Biol 2006; 2:2006–0008 [View Article] [PubMed]
    [Google Scholar]
  19. Datsenko KA, Wanner BL. One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products. Proc Natl Acad Sci U S A 2000; 97:6640–6645 [View Article] [PubMed]
    [Google Scholar]
  20. Roe AJ, Naylor SW, Spears KJ, Yull HM, Dransfield TA et al. Co-ordinate single-cell expression of LEE4- and LEE5-encoded proteins of Escherichia coli O157:H7. Mol Microbiol 2004; 54:337–352 [View Article] [PubMed]
    [Google Scholar]
  21. Elbing KL, Brent R. Recipes and tools for culture of Escherichia coli. Curr Protoc Mol Biol 2019; 125:e83 [View Article] [PubMed]
    [Google Scholar]
  22. Camper AK, McFeters GA, Characklis WG, Jones WL. Growth kinetics of coliform bacteria under conditions relevant to drinking water distribution systems. Appl Environ Microbiol 1991; 57:2233–2239 [View Article] [PubMed]
    [Google Scholar]
  23. Reshes G, Vanounou S, Fishov I, Feingold M. Timing the start of division in E. coli: a single-cell study. Phys Biol 2008; 5:046001 [View Article] [PubMed]
    [Google Scholar]
  24. Ducret A, Quardokus EM, Brun YV. MicrobeJ, a tool for high throughput bacterial cell detection and quantitative analysis. Nat Microbiol 2016; 1:16077 [View Article] [PubMed]
    [Google Scholar]
  25. Zuiderveld K. Contrast limited adaptive histogram equalization. In Graphics Gems Academic Press; 1994 pp 474–485 [View Article]
    [Google Scholar]
  26. Ahammer H, Reiss MA, Hackhofer M, Andronache I, Radulovic M et al. ComsystanJ: a collection of Fiji/ImageJ2 plugins for nonlinear and complexity analysis in 1D, 2D and 3D. PLoS One 2023; 18:e0292217 [View Article] [PubMed]
    [Google Scholar]
  27. Jin XC, Ong SH. Jayasooriah A practical method for estimating fractal dimension. Pattern Recognit Lett 1995; 16:457–464 [View Article]
    [Google Scholar]
  28. Koch Curve in Three Dimensions (“Delta” fractal).jpg - Wikipedia; 2014 https://commons.wikimedia.org/wiki/File:Koch_Curve_in_Three_Dimensions_(%22Delta%22_fractal).jpg accessed 16 November 2023
  29. Mandel zoom 00 mandelbrot set.jpg - Wikipedia; 2013 https://commons.wikimedia.org/wiki/File:Mandel_zoom_00_mandelbrot_set.jpg accessed 16 November 2023
  30. BenMiriello/fun-with-fractals - GitHub Repository; 2020 https://github.com/BenMiriello/fun-with-fractals accessed 16 November 2023
  31. Cubic starfish Julia set.png - Wikipedia; 2021 https://commons.wikimedia.org/wiki/File:Cubic_starfish_Julia_set.png accessed 16 November 2023
  32. Xaos fractal 24.png - Wikipedia; 2006 https://commons.wikimedia.org/wiki/File:Xaos_fractal_24.png accessed 16 November 2023
  33. Klonowski W. Signal and image analysis using chaos theory and fractal geometry. Machine Graphics and Vision 2000; 9:403–432
    [Google Scholar]
  34. Ford T, Graham J, Rickwood D. Iodixanol: a nonionic iso-osmotic centrifugation medium for the formation of self-generated gradients. Anal Biochem 1994; 220:360–366 [View Article] [PubMed]
    [Google Scholar]
  35. Ji Z, Card KJ, Dazzo FB. CMEIAS jfrad: a digital computing tool to discriminate the fractal geometry of landscape architectures and spatial patterns of individual cells in microbial biofilms. Microb Ecol 2015; 69:710–720
    [Google Scholar]
  36. Kittler J, Illingworth J. Minimum error thresholding. Pattern Recognit 1986; 19:41–47 [View Article]
    [Google Scholar]
  37. Smith WPJ, Davit Y, Osborne JM, Kim W, Foster KR et al. Cell morphology drives spatial patterning in microbial communities. Proc Natl Acad Sci USA 2017; 114:E280–E286 [View Article]
    [Google Scholar]
  38. van Gestel J, Vlamakis H, Kolter R. From cell differentiation to cell collectives: Bacillus subtilis uses division of labor to migrate. PLoS Biol 2015; 13:e1002141 [View Article] [PubMed]
    [Google Scholar]
  39. Yaman YI, Demir E, Vetter R, Kocabas A. Emergence of active nematics in chaining bacterial biofilms. Nat Commun 2019; 10:2285 [View Article] [PubMed]
    [Google Scholar]
  40. Liu Y, Li B, Feng X-Q. Buckling of growing bacterial chains. J Mech Phys Solids 2020; 145:104146 [View Article]
    [Google Scholar]
  41. Chakraborty S, Kenney LJ. A new role of OmpR in acid and osmotic stress in salmonella and E. coli. Front Microbiol 2018; 9:2656 [View Article]
    [Google Scholar]
  42. Wood JM. Perspectives on: the response to osmotic challenges: bacterial responses to osmotic challenges. J Gen Physiol 2015; 145:381
    [Google Scholar]
  43. Dai X, Zhu M. High osmolarity modulates bacterial cell size through reducing initiation volume in Escherichia coli. mSphere 2018; 3:e00430-18 [View Article] [PubMed]
    [Google Scholar]
  44. Buda R. Dynamics of Escherichia coli’s passive response to a sudden decrease in external osmolarity. Proc Natl Acad Sci 2016; 113:E5838–E5846
    [Google Scholar]
  45. Rojas E, Theriot JA, Huang KC. Response of Escherichia coli growth rate to osmotic shock. Proc Natl Acad Sci U S A 2014; 111:7807–7812 [View Article] [PubMed]
    [Google Scholar]
  46. Santos JM et al. The stationary-phase morphogene bola from escherichia coli is induced by stress during early stages of growth. Mol Biol (NY) 2002; 32:789–798 [View Article]
    [Google Scholar]
  47. Hengge-Aronis R, Lange R, Henneberg N, Fischer D. Osmotic regulation of rpoS-dependent genes in Escherichia coli. J Bacteriol 1993; 175:259–265 [View Article] [PubMed]
    [Google Scholar]
  48. Li F, Xiong X-S, Yang Y-Y, Wang J-J, Wang M-M et al. Effects of NaCl concentrations on growth patterns, phenotypes associated with virulence, and energy metabolism in Escherichia coli BW25113. Front Microbiol 2021; 12:705326 [View Article]
    [Google Scholar]
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