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Chemotaxis and autoinducer-2 signalling mediate colonization and contribute to co-existence of Escherichia coli strains in the murine gut

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Abstract

Bacteria communicate and coordinate their behaviour at the intra- and interspecies levels by producing and sensing diverse extracellular small molecules called autoinducers. Autoinducer 2 (AI-2) is produced and detected by a variety of bacteria and thus plays an important role in interspecies communication and chemotaxis. Although AI-2 is a major autoinducer molecule present in the mammalian gut and can influence the composition of the murine gut microbiota, its role in bacteria–bacteria and bacteria–host interactions during gut colonization remains unclear. Combining competitive infections in C57BL/6 mice with microscopy and bioinformatic approaches, we show that chemotaxis (cheY) and AI-2 signalling (via lsrB) promote gut colonization by Escherichia coli, which is in turn connected to the ability of the bacteria to utilize fructoselysine (frl operon). We further show that the genomic diversity of E. coli strains with respect to AI-2 signalling allows ecological niche segregation and stable co-existence of different E. coli strains in the mammalian gut.

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Fig. 1: Chemotaxis provides E. coli with a fitness advantage in competitive mouse infections.
Fig. 2: Chemotaxis towards AI-2 promotes colonization and mediates co-existence of E. coli strains in the gut.
Fig. 3: Co-occurrence analysis of lsrB/lsrG and lsrB/frlA genes in E. coli genomes.
Fig. 4: Competitive infection experiments demonstrating a functional link between fructoselysine utilization and LsrB in E. coli Z1331.
Fig. 5: Fructoselysine is an attractant sensed by the Trg chemoreceptor.
Fig. 6: Effect of fructoselysine on lsr and frl operon expression in E. coli Z1331.

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Data availability

The publicly available E. coli genome database and the associated files (annotations, phylogenetic tree) used and reprocessed in the present study can be found under: https://microbiology.figshare.com/articles/dataset/A_comprehensive_and_high-quality_collection_of_E_coli_genomes_and_their_genes/13270073. Any additional data can be requested from the corresponding author. Source data are available for Figs. 1–5 and Extended Data Figs. 1–10.

Code availability

Customized code used to produce the results presented in the present study is available at https://github.com/lukasmalfi/E_Coli.

References

  1. Colin, R., Sourjik, V. & R Colin, V. S. Emergent properties of bacterial chemotaxis pathway. Curr. Opin. Microbiol. 39, 24–33 (2017).

  2. Milo, R., Jorgensen, P., Moran, U., Weber, G. & Springer, M. BioNumbers—the database of key numbers in molecular and cell biology. Nucleic Acids Res. 38, D750–D753 (2010).

  3. Ni, B., Colin, R., Link, H., Endres, R. G. & Sourjik, V. Growth-rate dependent resource investment in bacterial motile behavior quantitatively follows potential benefit of chemotaxis. Proc. Natl Acad. Sci. USA 117, 595–601 (2020).

    Article  CAS  Google Scholar 

  4. Matilla, M. A. & Krell, T. The effect of bacterial chemotaxis on host infection and pathogenicity. FEMS Microbiol. Rev. 42, 40–67 (2018).

    Article  CAS  Google Scholar 

  5. Matilla, M. A. et al. Chemotaxis of the human pathogen Pseudomonas aeruginosa to the neurotransmitter acetylcholine. mBio https://doi.org/10.1128/MBIO.03458-21 (2022).

  6. Lopes, J. G. & Sourjik, V. Chemotaxis of Escherichia coli to major hormones and polyamines present in human gut. ISME J. 12, 2736 (2018).

    Article  CAS  Google Scholar 

  7. Yang, J. et al. Biphasic chemotaxis of Escherichia coli to the microbiota metabolite indole. Proc. Natl Acad. Sci. USA 117, 6114–6120 (2020).

    Article  CAS  Google Scholar 

  8. Colin, R., Ni, B., Laganenka, L. & Sourjik, V. Multiple functions of flagellar motility and chemotaxis in bacterial physiology. FEMS Microbiol. Rev. 45, 1–19 (2021).

    Article  Google Scholar 

  9. Keegstra, J. M., Carrara, F. & Stocker, R. The ecological roles of bacterial chemotaxis. Nat. Rev. Microbiol. 20, 491–504 (2022).

    Article  CAS  Google Scholar 

  10. Liou, M. J. et al. Host cells subdivide nutrient niches into discrete biogeographical microhabitats for gut microbes. Cell Host Microbe https://doi.org/10.1016/J.CHOM.2022.04.012 (2022).

  11. McCormick, B. A., Laux, D. C. & Cohen, P. S. Neither motility nor chemotaxis plays a role in the ability of Escherichia coli F-18 to colonize the streptomycin-treated mouse large intestine. Infect. Immun. 58, 2957 (1990).

    Article  CAS  Google Scholar 

  12. Leatham, M. P. et al. Mouse intestine selects nonmotile flhDC mutants of Escherichia coli MG1655 with increased colonizing ability and better utilization of carbon sources. Infect. Immun. 73, 8039–8049 (2005).

    Article  CAS  Google Scholar 

  13. Song, S. & Wood, T. K. The primary physiological roles of autoinducer 2 in Escherichia coli are chemotaxis and biofilm formation. Microorganisms 9, 386 (2021).

    Article  CAS  Google Scholar 

  14. Laganenka, L., Colin, R. & Sourjik, V. Chemotaxis towards autoinducer 2 mediates autoaggregation in Escherichia coli. Nat. Commun. 7, 12984 (2016).

    Article  CAS  Google Scholar 

  15. Jani, S., Seely, A. L., Peabody V, G. L., Jayaraman, A. & Manson, M. D. Chemotaxis to self-generated AI-2 promotes biofilm formation in Escherichia coli. Microbiology https://doi.org/10.1099/mic.0.000567 (2017).

  16. Pereira, C. S., Thompson, J. A. & Xavier, K. B. AI-2-mediated signalling in bacteria. FEMS Microbiol. Rev. 37, 156–181 (2013).

    Article  CAS  Google Scholar 

  17. Ismail, A. S., Valastyan, J. S. & Bassler, B. L. A host-produced autoinducer-2 mimic activates bacterial quorum sensing. Cell Host Microbe 19, 470–480 (2016).

    Article  CAS  Google Scholar 

  18. Valastyan, J. S., Kraml, C. M., Pelczer, I., Ferrante, T. & Bassler, B. L. Saccharomyces cerevisiae requires cff1 to produce 4-hydroxy-5-methylfuran-3(2h)-one, a mimic of the bacterial quorum-sensing autoinducer AI-2. mBio 12, 1–17 (2021).

    Article  Google Scholar 

  19. Zhang, L. et al. Sensing of autoinducer-2 by functionally distinct receptors in prokaryotes. Nat. Commun. 11, 1–13 (2020).

    Google Scholar 

  20. Laganenka, L. & Sourjik, V. Autoinducer 2-dependent Escherichia coli biofilm formation is enhanced in a dual-species coculture. Appl. Environ. Microbiol. 84, e02638-17 (2018).

  21. Thompson, J. A., Oliveira, R. A., Ubeda, C., Xavier, K. B. & Djukovic, A. Manipulation of the quorum sensing signal AI-2 affects the antibiotic-treated gut microbiota. Cell Rep. 10, 1861–1871 (2015).

    Article  CAS  Google Scholar 

  22. Hsiao, A. et al. Members of the human gut microbiota involved in recovery from Vibrio cholerae infection. Nature 515, 423–426 (2014).

    Article  CAS  Google Scholar 

  23. Wotzka, S. Y. et al. Microbiota stability in healthy individuals after single-dose lactulose challenge—a randomized controlled study. PLoS ONE 13, e0206214 (2018).

    Article  Google Scholar 

  24. Jensen, K. F. The Escherichia coli K-12 ‘wild types’ W3110 and MG1655 have an rph frameshift mutation that leads to pyrimidine starvation due to low pyrE expression levels. J. Bacteriol. 175, 3401–3407 (1993).

    Article  CAS  Google Scholar 

  25. Blattner, F. R. et al. The complete genome sequence of Escherichia coli K-12. Science 277, 1453–1462 (1997).

    Article  CAS  Google Scholar 

  26. Soupene, E. et al. Physiological studies of Escherichia coli strain MG1655: growth defects and apparent cross-regulation of gene expression. J. Bacteriol. 185, 5611–5626 (2003).

    Article  CAS  Google Scholar 

  27. Hobman, J. L., Penn, C. W. & Pallen, M. J. Laboratory strains of Escherichia coli: model citizens or deceitful delinquents growing old disgracefully? Mol. Microbiol. 64, 881–885 (2007).

    Article  CAS  Google Scholar 

  28. Leatham, M. P. et al. Precolonized human commensal Escherichia coli strains serve as a barrier to E. coli O157:H7 growth in the streptomycin-treated mouse intestine. Infect. Immun. 77, 2876–2886 (2009).

    Article  CAS  Google Scholar 

  29. Stecher, B. et al. Flagella and chemotaxis are required for efficient induction of Salmonella enterica serovar Typhimurium colitis in streptomycin-pretreated mice. Infect. Immun. 72, 4138–4150 (2004).

    Article  CAS  Google Scholar 

  30. Stecher, B. et al. Motility allows S. typhimurium to benefit from the mucosal defence. Cell Microbiol. 10, 1166–1180 (2008).

    Article  CAS  Google Scholar 

  31. Thompson, J. A., Oliveira, R. A. & Xavier, K. B. Chemical conversations in the gut microbiota. Gut Microbes 7, 163–170 (2016).

    Article  CAS  Google Scholar 

  32. González Barrios, A. F. et al. Autoinducer 2 controls biofilm formation in Escherichia coli through a novel motility quorum-sensing regulator (MqsR, B3022). J. Bacteriol. 188, 305–316 (2006).

    Article  Google Scholar 

  33. Bansal, T., Jesudhasan, P., Pillai, S., Wood, T. K. & Jayaraman, A. Temporal regulation of enterohemorrhagic Escherichia coli virulence mediated by autoinducer-2. Appl. Microbiol. Biotechnol. 78, 811–819 (2008).

    Article  CAS  Google Scholar 

  34. Xavier, K. B. & Bassler, B. L. Regulation of uptake and processing of the quorum-sensing autoinducer AI-2 in Escherichia coli. J. Bacteriol. 187, 238–248 (2005).

    Article  CAS  Google Scholar 

  35. Xavier, K. B. et al. Phosphorylation and processing of the quorum-sensing molecule autoinducer-2 in enteric bacteria. ACS Chem. Biol. 2, 128–136 (2007).

    Article  CAS  Google Scholar 

  36. Hegde, M. et al. Chemotaxis to the quorum-sensing signal AI-2 requires the Tsr chemoreceptor and the periplasmic LsrB AI-2-binding protein. J. Bacteriol. 193, 768–773 (2011).

    Article  CAS  Google Scholar 

  37. Neumann, S., Hansen, C. H., Wingreen, N. S. & Sourjik, V. Differences in signalling by directly and indirectly binding ligands in bacterial chemotaxis. EMBO J. 29, 3484–3495 (2010).

    Article  CAS  Google Scholar 

  38. Oliveira, R. A. et al. Klebsiella michiganensis transmission enhances resistance to Enterobacteriaceae gut invasion by nutrition competition. Nat. Microbiol. 5, 630–641 (2020).

    Article  CAS  Google Scholar 

  39. Luo, C. et al. ConStrains identifies microbial strains in metagenomic datasets. Nat. Biotechnol. 33, 1045–1052 (2015).

    Article  CAS  Google Scholar 

  40. Tyakht, A. V. et al. Genetic diversity of Escherichia coli in gut microbiota of patients with Crohn’s disease discovered using metagenomic and genomic analyses. BMC Genom. 19, 1–14 (2018).

    Article  Google Scholar 

  41. Pereira, F. C. & Berry, D. Microbial nutrient niches in the gut. Environ. Microbiol. 19, 1366–1378 (2017).

    Article  Google Scholar 

  42. Conway, T. & Cohen, P. S. Commensal and pathogenic Escherichia coli metabolism in the gut. Microbiol. Spectr. https://doi.org/10.1128/microbiolspec.MBP-0006-2014 (2015).

  43. Meador, J. P., Caldwell, M. E., Cohen, P. S. & Conway, T. Escherichia coli pathotypes occupy distinct niches in the mouse intestine. Infect. Immun. 82, 1931–1938 (2014).

    Article  Google Scholar 

  44. Brito, P. H., Rocha, E. P. C., Xavier, K. B. & Gordo, I. Natural genome diversity of AI-2 quorum sensing in Escherichia coli: conserved signal production but labile signal reception. Genome Biol. Evol. 5, 16–30 (2013).

    Article  Google Scholar 

  45. Stecher, B. et al. Gut inflammation can boost horizontal gene transfer between pathogenic and commensal Enterobacteriaceae. Proc. Natl Acad. Sci. USA 109, 1269–1274 (2012).

    Article  CAS  Google Scholar 

  46. Riley, M. A. & Gordon, D. M. The ecological role of bacteriocins in bacterial competition. Trends Microbiol. 7, 129–133 (1999).

    Article  CAS  Google Scholar 

  47. Marques, J. C. et al. LsrF, a coenzyme A-dependent thiolase, catalyzes the terminal step in processing the quorum sensing signal autoinducer-2. Proc. Natl Acad. Sci. USA 111, 14235–14240 (2014).

    Article  CAS  Google Scholar 

  48. Laganenka, L. et al. Quorum sensing and metabolic state of the host control lysogeny-lysis switch of bacteriophage T1. mBio https://doi.org/10.1128/mBio.01884-19 (2019).

  49. Schembri, M. A., Hjerrild, L., Gjermansen, M. & Klemm, P. Differential expression of the Escherichia coli autoaggregation factor antigen 43. J. Bacteriol. 185, 2236–2242 (2003).

    Article  CAS  Google Scholar 

  50. Horesh, G. et al. A comprehensive and high-quality collection of Escherichia coli genomes and their genes. Microb. Genom. 7, 1–15 (2021).

    Google Scholar 

  51. Wiame, E., Delpierre, G., Collard, F. & Van Schaftingen, E. Identification of a pathway for the utilization of the Amadori product fructoselysine in Escherichia coli. J. Biol. Chem. 277, 42523–42529 (2002).

    Article  CAS  Google Scholar 

  52. Erbersdobler, H. F. & Faist, V. Metabolic transit of Amadori products. Mol. Nutr. Food Res. 45, 177–181 (2001).

  53. Wolf, A. R. et al. Bioremediation of a common product of food processing by a human gut bacterium. Cell Host Microbe 26, 463–477.e8 (2019).

    Article  CAS  Google Scholar 

  54. Barroso-Batista, J. et al. Specific eco-evolutionary contexts in the mouse gut reveal Escherichia coli metabolic versatility. Curr. Biol. 30, 1049–1062.e7 (2020).

    Article  CAS  Google Scholar 

  55. Frazão, N., Sousa, A., Lässig, M. & Gordo, I. Horizontal gene transfer overrides mutation in Escherichia coli colonizing the mammalian gut. Proc. Natl Acad. Sci. USA 116, 17906–17915 (2019).

    Article  Google Scholar 

  56. Sourjik, V. & Berg, H. C. Functional interactions between receptors in bacterial chemotaxis. Nature 428, 1–4 (2004).

    Article  Google Scholar 

  57. Sourjik, V. & Berg, H. C. Receptor sensitivity in bacterial chemotaxis. Proc. Natl Acad. Sci. USA 99, 123–127 (2002).

    Article  CAS  Google Scholar 

  58. Sourjik, V., Vaknin, A., Shimizu, T. S. & Berg, H. C. In vivo measurement by FRET of pathway activity in bacterial chemotaxis. Methods Enzymol. 423, 365 (2007).

    Article  CAS  Google Scholar 

  59. Laganenka, L., López, M. E., Colin, R. & Sourjik, V. Flagellum-mediated mechanosensing and RflP control motility state of pathogenic Escherichia coli. mBio https://doi.org/10.1128/mBio.02269-19 (2020).

  60. Somavanshi, R., Ghosh, B. & Sourjik, V. Sugar influx sensing by the phosphotransferase system of Escherichia coli. PLoS Biol. 14, e2000074 (2016).

    Article  Google Scholar 

  61. Ortega, Á., Zhulin, I. B. & Krell, T. Sensory repertoire of bacterial chemoreceptors. Microbiol. Mol. Biol. Rev. 81, e00033-17 (2017).

  62. Wang, L., Hashimoto, D., Tsao, C. Y., Valdes, J. J. & Bentley, W. E. Cyclic AMP (cAMP) and cAMP receptor protein influence both synthesis and uptake of extracellular autoinducer 2 in Escherichia coli. J. Bacteriol. 187, 2066–2076 (2005).

    Article  CAS  Google Scholar 

  63. Ha, J.-H. et al. Evidence of link between quorum sensing and sugar metabolism in Escherichia coli revealed via cocrystal structures of LsrK and HPr. Sci. Adv. 4, eaar7063 (2018).

    Article  Google Scholar 

  64. Graf von Armansperg, B. et al. Transcriptional regulation of the Nε-fructoselysine metabolism in Escherichia coli by global and substrate-specific cues. Mol. Microbiol. 115, 175–190 (2021).

    Article  CAS  Google Scholar 

  65. Adler, J. Chemotaxis in bacteria. Science 153, 708–716 (1966).

    Article  CAS  Google Scholar 

  66. Koster, D. A., Mayo, A., Bren, A. & Alon, U. Surface growth of a motile bacterial population resembles growth in a chemostat. J. Mol. Biol. 424, 180–191 (2012).

    Article  CAS  Google Scholar 

  67. Laganenka, L. & Sourjik, V. Autoinducer 2-dependent Escherichia coli biofilm formation is enhanced in a dual-species co-culture. Appl. Environ. Microbiol. https://doi.org/10.1128/AEM.02638-17 (2017).

  68. Gauger, E. J. et al. Role of motility and the flhDC Operon in Escherichia coli MG1655 colonization of the mouse intestine. Infect. Immun. 75, 3315–3324 (2007).

    Article  CAS  Google Scholar 

  69. de Paepe, M. et al. Trade-off between bile resistance and nutritional competence drives Escherichia coli diversification in the mouse gut. PLoS Genet. https://doi.org/10.1371/journal.pgen.1002107 (2011).

  70. Monday, S. R., Minnich, S. A. & Feng, P. C. H. A 12-base-pair deletion in the flagellar master control gene flhC causes nonmotility of the pathogenic German sorbitol-fermenting Escherichia coli O157:H strains. J. Bacteriol. 186, 2319–2327 (2004).

    Article  CAS  Google Scholar 

  71. Conway, T. & Cohen, P. S. Applying the restaurant hypothesis to intestinal microbiota: anaerobes in mixed biofilms degrade polysaccharides, sharing locally prepared sugars with facultative anaerobes that also colonize the intestine. Microbe 10, 324–328 (2015).

    Google Scholar 

  72. Long, Z., Quaife, B., Salman, H. & Oltvai, Z. N. Cell-cell communication enhances bacterial chemotaxis toward external attractants. Sci. Rep. 7, 1–12 (2017).

    Article  Google Scholar 

  73. Molloy, M. J. et al. Intraluminal containment of commensal outgrowth in the gut during infection-induced dysbiosis. Cell Host Microbe 14, 318–328 (2013).

    Article  CAS  Google Scholar 

  74. Haag, L. M. et al. Intestinal microbiota shifts towards elevated commensal Escherichia coli loads abrogate colonization resistance against Campylobacter jejuni in mice. PLoS ONE https://doi.org/10.1371/journal.pone.0035988 (2012).

  75. Spees, A. M. et al. Streptomycin-induced inflammation enhances Escherichia coli gut colonization through nitrate respiration. mBio 4, e00430-13 (2013).

  76. Carvalho, F. A. et al. Transient inability to manage proteobacteria promotes chronic gut inflammation in TLR5-deficient mice. Cell Host Microbe 12, 139–152 (2012).

    Article  CAS  Google Scholar 

  77. Datsenko, K. A. & Wanner, B. L. One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products. Proc. Natl Acad. Sci. USA 97, 6640–6645 (2000).

    Article  CAS  Google Scholar 

  78. Cherepanov, P. P. & Wackernagel, W. Gene disruption in Escherichia coli: TcR and KmR cassettes with the option of Flp-catalyzed excision of the antibiotic-resistance determinant. Gene 158, 9–14 (1995).

    Article  CAS  Google Scholar 

  79. Furter, M., Sellin, M. E., Hansson, G. C. & Hardt, W. D. Mucus architecture and near-surface swimming affect distinct Salmonella Typhimurium infection patterns along the murine intestinal tract. Cell Rep. 27, 2665–2678.e3 (2019).

    Article  CAS  Google Scholar 

  80. Valdivia, R. H. & Falkow, S. Bacterial genetics by flow cytometry: rapid isolation of Salmonella Typhimurium acid-inducible promoters by differential fluorescence induction. Mol. Microbiol. 22, 367–378 (1996).

    Article  CAS  Google Scholar 

  81. Barthel, M. et al. Pretreatment of mice with streptomycin provides a Salmonella enterica serovar Typhimurium colitis model that allows analysis of both pathogen and host. Infect. Immun. 71, 2839–2858 (2003).

    Article  CAS  Google Scholar 

  82. Miller, K. A., Phillips, R. S., Kilgore, P. B., Smith, G. L. & Hoover, T. R. A mannose family phosphotransferase system permease and associated enzymes are required for utilization of fructoselysine and glucoselysine in Salmonella enterica serovar Typhimurium. J. Bacteriol. 197, 2831–2839 (2015).

    Article  CAS  Google Scholar 

  83. Johnson, M. et al. NCBI BLAST: a better web interface. Nucleic Acids Res. 36, W5–W9 (2008).

  84. Mckinney, W. Pandas: a foundational python library for data analysis and statistics. Python High Perform. Sci. Comput. 14, 9 (2011).

    Google Scholar 

  85. Szklarczyk, D. et al. The STRING database in 2021: customizable protein-protein networks, and functional characterization of user-uploaded gene/measurement sets. Nucleic Acids Res. 49, D605–D612 (2021).

    Article  CAS  Google Scholar 

  86. Huerta-Cepas, J., Serra, F. & Bork, P. ETE 3: reconstruction, analysis, and visualization of phylogenomic data. Mol. Biol. Evol. 33, 1635–1638 (2016).

    Article  CAS  Google Scholar 

  87. Menardo, F. et al. Treemmer: a tool to reduce large phylogenetic datasets with minimal loss of diversity. BMC Bioinform. 19, 1–8 (2018).

    Article  Google Scholar 

  88. Harris, C. R. et al. Array programming with NumPy. Nature 585, 357–362 (2020).

    Article  CAS  Google Scholar 

  89. Pereira, C. S. et al. Phosphoenolpyruvate phosphotransferase system regulates detection and processing of the quorum sensing signal autoinducer-2. Mol. Microbiol. 84, 93–104 (2012).

    Article  CAS  Google Scholar 

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Acknowledgements

We thank K. Xavier (Instituto Gulbenkian de Ciência, Oeiras, Portugal) for generously providing the E. coli ARO071 strain and for helpful discussions. We also thank the EPIC RCHCI staff for support of the animal work. L.L. is supported by a grant (no. LA 4572/1-1) from the Deutsche Forschungsgemeinschaft. This work has been further funded by grants from the Swiss National Science Foundation (SNF; grant nos. 310030B_173338 and 310030_192567, NCCR Microbiomes) to W.-D.H. V.S. acknowledges support by the Hessian Ministry of Higher Education, Research, and the Arts–LOEWE research cluster ‘Diffusible Signals’ subproject A1. J.W.L. was supported by a grant (no. NRF-2019R1A6A3A03031885) from the National Research Foundation, Republic of Korea. C.v.M. is supported by the Swiss NSF (grant no. 310030_192569). C.L.D. and J.P. are supported by a grant (no. SNF 205321L_10724) from the Swiss NSF.

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Contributions

L.L., W.-D.H. and V.S. conceived and designed the experiments. L.L. and J.-W.L. performed the experiments. L.M. and C.v.M. performed bioinformatic analysis. C.L.D., L.F. and J.P. synthesized fructoselysine. All authors contributed to data analysis and writing of the manuscript.

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Correspondence to Wolf-Dietrich Hardt.

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Nature Microbiology thanks Mariana Byndloss and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

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Extended data

Extended Data Fig. 1 E. coli Z1331 colonizes ampicillin-pretreated SPF mice without causing inflammation.

a, c.f.u. of E. coli Z1331 WT (yidX-bla, ampr) detected in faeces (F) and caecal content (CC) of ampicillin-pretreated SPF mice at different time points of a 72 h infection. Lines indicate median values (mice n = 9, from ≥2 independent animal experiments). The slight drop of fecal E. coli densities between 48 h and 72 h.p.i. is likely due to the regrowth of microbiota. Dashed line indicates the detection limit. b, Lipocalin-2 levels in faeces (F) and caecal content (CC) of E. coli-infected mice as measured by ELISA. Lines represent median values (mice n = 5, from ≥2 independent animal experiments). Dashed line indicates approximate threshold of lipocalin-2 concentration marking a shift from non-inflamed to the inflamed gut, as observed in the streptomycin mouse model for Salmonella diarrhea. Note that gut colonization by wild type S. Typhimurium yields lipocalin-2 levels of 104 ng/g faeces during full-blown gut inflammation1. c, Competitive indices (C.I.) for chemotaxis-deficient ΔcheY strains from different phylogroups in competition against the respective WT strains in SPF ampicillin-pretreated mice. F, faeces. CC, caecal content. Lines indicate median values (minimum mice n = 5, at least two independent replicates). Dashed line indicates C.I. value of 1.

Source data

Extended Data Fig. 2 E. coli Z1331 ΔcheY has no colonization defect in single-strain infection.

a, c.f.u. of E. coli Z1331 WT and ΔcheY detected in faeces (F) and caecal content (CC) of ampicillin-pretreated SPF mice at different time points of a 72 h infection. Lines indicate median values (mice n = 4, two independent replicates). b, Number of aggregates formed by WT and ΔcheY cells in a single-strain infection normalized to the number of detected cells in a tissue section as seen below (two-tailed Mann-Whitney test, **P < 0.005). Lines indicate median values (image sample n = 11, tissue sections from two independent experiments were analyzed). c, Caecal tissue sections of mice infected either with E. coli WT (mCherry-positive, shown in orange) or ΔcheY (GFP-positive, shown in green) at 72 h.p.i. Actin filaments (red) and DNA (blue) were stained with phalloidin and DAPI, respectively. Scale bars, 50 µm. d, An example of image segmentation and analysis of bacterial aggregates (as seen above) using ImageJ. Detected particles are indicated in red, with aggregates (at least 50 px2 in size) outlined in yellow. Particles of non-bacterial origin (food fibers etc, as seen in ΔcheY panel) were manually excluded from analysis. Scale bars, 50 µm.

Source data

Extended Data Fig. 3 Increased luminal AI-2 levels abolish fitness advantage of wild-type E. coli in ΔlsrB/WT competitive infection.

a, AI-2 levels of AI-2 in faeces of SPF mice before (SPF Amp) and 24 h after (SPF Amp+) treatment with 20 mg ampicillin. Mean fluorescence of a plasmid-based AI-2 reporter strain was measured by flow cytometry and plotted in arbitrary units (a.u.). Lines indicate median values (mice n = 4, at least two independent replicates). P values were calculated using two-tailed Mann-Whitney test (*P < 0.05). b, AI-2 levels of AI-2 in faeces (F) of SPF ampicillin-pretreated mice infected with E. coli Z1331 WT (-ARO071) or with 1:1 mix of E. coli Z1331 WT and E. coli ARO071. Mean fluorescence of a plasmid-based AI-2 reporter strain was measured by flow cytometry and plotted in arbitrary units (a.u.). Lines indicate median values (mice n = 6, at least two independent replicates). P values were calculated using two-tailed Mann-Whitney test (**P < 0.005). c, c.f.u. data for the experiment shown in Fig. 2d. F, faeces, CC, caecal content. Lines indicate median values (mice n = 6, at least two independent replicates). P values were calculated using two-tailed Mann-Whitney test (**P < 0.005; ns, not significant). The dashed line indicates the detection limit. Note that the total c.f.u. loads can differ between caecum and faeces due to yet unidentified reasons.

Source data

Extended Data Fig. 4 Competitive indices (C.I.) for ΔlsrB strains of lsr-positive E. coli W3110 and 8550 in competition against the respective WT strains in SPF ampicillin-pretreated mice.

F, faeces. CC, caecal content. Lines indicate median values (minimum mice n = 5, at least two independent replicates). Dashed line indicates C.I. value of 1.

Source data

Extended Data Fig. 5 CheY and LsrB belong to the same regulatory pathway.

E. coli Z1331 ΔcheY and ΔcheY ΔlsrB knockout strains were competed against the wild-type strain. Additionally competitive indices (C.I.) of ΔlsrB and ΔcheY mutants were analyzed in ΔcheY and ΔlsrB backgrounds, respectively. F, faeces, CC, caecal content. Lines indicate median values (minimum mice n = 5, from at least two independent infection experiments). P values were analyzed using two-tailed Mann-Whitney test (**P < 0.005; *P < 0.05; ns, not significant).

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Extended Data Fig. 6 Self-produced AI-2 enhances gut colonization by E. coli.

a, Experimental scheme of competitive infection in germ-free (GF) mice. C57BL/6 J GF mice were orally infected with 5×107 c.f.u. E. coli W3110 WT and ΔlsrB or ΔlsrB ΔluxS and ΔluxS at a 1:1 ratio. Faeces were collected 24, 48 h.p.i. and mice were euthanized at 72 h.p.i. b, C.I. of non-AI-2 chemotactic ΔlsrB mutant in WT and ΔluxS background strains in the GF mouse infection model. F, faeces, CC, caecal content. Lines indicate median values (mice n = 9, from least two independent experiments). P values were calculated using two-tailed Mann-Whitney test (****P < 0.0001). Dashed line indicates C.I. value of 1. c, Experimental scheme of competitive infection in SPF mice. C57BL/6 J SPF mice were pretreated with 20 mg ampicillin by oral gavage 24 h prior to infection with E. coli W3110 WT and ΔlsrB or ΔlsrB ΔluxS and ΔluxS at 1:1 ratio. Faeces were collected at 24, 48 h.p.i and mice were euthanized at 72 h.p.i. d, C.I. of non-AI-2 chemotactic ΔlsrB mutant in WT and ΔluxS background strains in SPF ampicillin-pretreated mouse infection model. F, faeces, CC, caecal content. Lines indicate median values (minimum mice n = 5, from at least two independent experiments). P values were calculated using two-tailed Mann-Whitney test (**P < 0.005). Dashed line indicates C.I. value of 1.

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Extended Data Fig. 7 Infection of SPF ampicillin-pretreated mice with E. coli 8178 and 8850 does not cause inflammation.

a, H&E staining of caecal tissue of uninfected mice (PBS) and mice infected with 5×107 c.f.u. of E. coli Z1331 WT + 8178 WT and E. coli Z1331 WT + 8850 WT (1:1000 ratio) at 72 h.p.i (as seen in Fig. 4). Scale bar, 50 µm. b, Histopathology analysis of the caecal tissue section as seen above. 3 sections from 2 mice per group were analyzed. c, Lipocalin-2 levels in faeces (F) and caecal content (CC) of E. coli-infected mice as measured by ELISA. Lines represent median values (mice n = 7, at least two independent animal experiments). Dashed line indicates approximate threshold of lipocalin-2 concentration marking a shift from non-inflamed to the inflamed gut. d, Colonization levels of E. coli 8178 in competition experiments with E. coli Z1331 as seen in Fig. 2. Lines indicate median values (mice n = 7, at least two independent replicates). P values were calculated using two-tailed Mann-Whitney test (ns, not significant). e, Colonization levels of E. coli 8850 in competition experiments with E. coli Z1331 as seen in Fig. 2. Lines indicate median values (minimum mice n = 6, at least two independent replicates). P values were calculated using two-tailed Mann-Whitney test (ns, not significant).

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Extended Data Fig. 8 Fructoselysine is an attractant sensed by the Trg chemoreceptor.

Examples of FRET measurements of the response to fructoselysine (reflected by the ratio of YFP/CFP fluorescence) by E. coli W3110 a, wild-type, b, Δtrg, c, Δtsr, d, Δtar, e, Δtap, f, ΔptsI and g, ΔcheA (negative control) knockout strains. Buffer-adapted cells were stimulated with step-like addition and removal of compounds (indicated by downward and upward arrows, respectively). Stimulation with saturating concentration of aspartate or serine, two strong attractants, was used as a positive control. Time traces of fluorescence intensity in the YFP (shown in yellow) and CFP channels (shown in blue) are shown in the right. Opposite changes in two channels indicate specific FRET response. Note that higher concentrations of fructoselysine solution have unspecific effect on fluorescence in both YFP and CFP channels, particularly visible in ΔcheA negative control, but little effect on the YFP/CFP ratio. Residual effect on the YFP/CFP ratio in the negative control was subtracted from all dose-response curves in Fig. 5b.

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Extended Data Fig. 9 LsrB and Tsr belong to the same regulatory pathway.

Competitive indices (C.I.) of E. coli Δtsr and Δtsr ΔlsrB mutant strains vs the wild-type strain E. coli Z1331 in SPF ampicillin-pretreated mice. F, faeces, CC, caecal content. Lines indicate median values (minimum mice n = 6, at least two independent replicates). P values were analyzed using two-tailed Mann-Whitney test (ns, not significant).

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Extended Data Fig. 10 E. coli Z1331 utilizes fructoselysine as a sole carbon source.

E. coli Z1331 WT, ΔfrlA and ΔptsI strains were grown aerobically for 24 h in M9 minimal medium supplemented with either 1% fructoselysine (FL) or 2% arabinose (non-PTS sugar, used as a control for ΔptsI growth) and NH4Cl as a nitrogen source. Mean optical densities are shown, error bars indicate s.d. (sample n = 6, from at least two independent experiments). P values were calculated using two-tailed Mann-Whitney test (**P < 0.005; ns, not significant).

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Supplementary information

Supplementary Information

Supplementary Figs. 1–3 and Information Tables 1 and 2.

Reporting Summary

Supplementary Tables 1 and 2

Supplementary Table 1: Strains and plasmids used in this study. Supplementary Table 2: Correlation analysis of the E. coli lsrB gene.

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Laganenka, L., Lee, JW., Malfertheiner, L. et al. Chemotaxis and autoinducer-2 signalling mediate colonization and contribute to co-existence of Escherichia coli strains in the murine gut. Nat Microbiol 8, 204–217 (2023). https://doi.org/10.1038/s41564-022-01286-7

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