journal article·2025-06-09Open access

Adaptations of Gram-Negative and Gram-Positive Probiotic Bacteria in Engineered Living Materials

Varun Sai Tadimarri, Tanya Amit Tyagi, Cao Nguyen Duong, Sari Rasheed, Rolf Müller, Shrikrishnan Sankaran

Abstract

High Resolution Image Download MS PowerPoint Slide Encapsulation of microbes in natural or synthetic matrices is a key aspect of engineered living materials, although the influence of such confinement on microbial behavior is poorly understood. A few recent studies have shown that the spatial confinement and mechanical properties of the encapsulating material significantly influence microbial behavior, including growth, metabolism, and gene expression. However, comparative studies within different bacterial species under identical confinement conditions are limited. In this study, Gram-negative Escherichia coli Nissle 1917 and Gram-positive Lactiplantibacillus plantarum WCFS1 were encapsulated in hydrogel matrices, and their growth, metabolic activity, and recombinant gene expression were examined under varying degrees of hydrogel stiffness, achieved by adjusting the polymer concentration and chemical cross-linking. Both bacteria grow from single cells into confined colonies, but more interestingly, in E. coli gels, mechanical properties influenced colony growth, size, and morphology, whereas this did not occur in L. plantarum gels. However, with both bacteria, increased matrix stiffness led to higher levels of recombinant protein production within the colonies. By measuring metabolic heat from the bacterial gels using the isothermal microcalorimetry technique, it was inferred that E. coli adapts to the mechanical restrictions through multiple metabolic transitions and is significantly affected by the different hydrogel properties. Contrastingly, both of these aspects were not observed with L. plantarum . These results revealed that despite both bacteria being gut-adapted probiotics with similar geometries, mechanical confinement affects them considerably differently. The weaker influence of matrix stiffness on L. plantarum is attributed to its slower growth and thicker cell wall, possibly enabling the generation of higher turgor pressures to overcome restrictive forces under confinement. By providing fundamental insights into the interplay between mechanical forces and bacterial physiology, this work advances our understanding of how matrix properties shape bacterial behavior. The implications of these findings will aid the design of engineered living materials for therapeutic applications.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Probiotics and Fermented Foods · Food Industry and Aquatic Biology · Gut microbiota and health

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

INM - Leibniz Institute for New Materials, Saarland University, Campus D2 2, Saarbrücken 66123, Germany

Saarland University

Helmholtz Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz Center for Infection Research (HZI), Saarland University, Campus E8 1, Saarbrücken 66123, Germany

German Centre for Infection Research (DZIF)

Partner Site Hannover

Funding

Leibniz-Gemeinschaft · Deutsche Forschungsgemeinschaft

References (65)

Show source-provided references
1. 10.1038/s41578-021-00350-810.1038/s41578-021-00350-8 ↗
2. 10.1021/acs.chemrev.2c0051210.1021/acs.chemrev.2c00512 ↗
3. 10.1038/s41467-022-29672-z10.1038/s41467-022-29672-z ↗
4. 10.1016/j.cell.2022.06.04010.1016/j.cell.2022.06.040 ↗
5. 10.1002/adma.20190700110.1002/adma.201907001 ↗
6. 10.3389/fbioe.2023.127806210.3389/fbioe.2023.1278062 ↗
7. He, L.; Cai, H.; Gona, R. S.; Gangan, M. S.; Lai, T.; Silberstein, M. N. 3D-bioprinted marine bacteria for the degradation of bioplastics ; bioRxiv 2025 https://www.biorxiv.org/content/10.1101/2025.02.05.636490v1.10.1101/2025.02.05.636490 ↗
8. 10.1016/j.bioadv.2022.21324010.1016/j.bioadv.2022.213240 ↗
9. 10.1111/j.1365-2958.2012.08063.x10.1111/j.1365-2958.2012.08063.x ↗
10. 10.1038/s41564-020-0684-210.1038/s41564-020-0684-2 ↗
11. 10.1002/smll.20180471710.1002/smll.201804717 ↗
12. 10.1021/acsabm.0c0033510.1021/acsabm.0c00335 ↗
13. 10.1002/advs.20210602610.1002/advs.202106026 ↗
14. 10.1016/j.mtbio.2023.10067710.1016/j.mtbio.2023.100677 ↗
15. 10.1016/j.matdes.2022.11101210.1016/j.matdes.2022.111012 ↗
16. 10.1021/acssynbio.1c0029010.1021/acssynbio.1c00290 ↗
17. 10.1002/advs.20220615310.1002/advs.202206153 ↗
18. 10.1002/adma.20230550510.1002/adma.202305505 ↗
19. 10.1002/mabi.20200012110.1002/mabi.202000121 ↗
20. 10.1038/s41467-020-14371-410.1038/s41467-020-14371-4 ↗
21. 10.1038/s41563-020-00857-510.1038/s41563-020-00857-5 ↗
22. 10.1021/acsami.2c2039910.1021/acsami.2c20399 ↗
23. 10.1038/s41598-018-29269-x10.1038/s41598-018-29269-x ↗
24. 10.1016/j.bcab.2023.10280610.1016/j.bcab.2023.102806 ↗
25. 10.1002/smll.20240831610.1002/smll.202408316 ↗
26. 10.3390/fermentation1002007310.3390/fermentation10020073 ↗
27. 10.3390/ijms2314778410.3390/ijms23147784 ↗
28. 10.3389/fmicb.2021.71223610.3389/fmicb.2021.712236 ↗
29. 10.1007/s13399-022-02544-810.1007/s13399-022-02544-8 ↗
30. 10.1155/2018/936161410.1155/2018/9361614 ↗
31. 10.3109/0891060090344426710.3109/08910600903444267 ↗
32. 10.1128/JB.00946-1310.1128/JB.00946-13 ↗
33. 10.1093/femsre/fuaa02110.1093/femsre/fuaa021 ↗
34. 10.1073/pnas.050408410210.1073/pnas.0504084102 ↗
35. 10.1038/s41522-018-0062-510.1038/s41522-018-0062-5 ↗
36. 10.1021/acs.langmuir.8b0425210.1021/acs.langmuir.8b04252 ↗
37. 10.1038/s41522-016-0005-y10.1038/s41522-016-0005-y ↗
38. 10.1016/j.bpj.2012.07.00110.1016/j.bpj.2012.07.001 ↗
39. 10.1016/j.mib.2017.10.01510.1016/j.mib.2017.10.015 ↗
40. 10.1038/srep3861010.1038/srep38610 ↗
41. 10.1093/femsre/fuv00810.1093/femsre/fuv008 ↗
42. 10.1128/AEM.01475-0610.1128/AEM.01475-06 ↗
43. 10.1111/j.1462-2920.2009.02119.x10.1111/j.1462-2920.2009.02119.x ↗
44. 10.1039/c1sm05095h10.1039/c1sm05095h ↗
45. 10.1186/s12934-024-02302-710.1186/s12934-024-02302-7 ↗
46. 10.1371/journal.pone.028162510.1371/journal.pone.0281625 ↗
47. 10.1186/s13036-024-00463-y10.1186/s13036-024-00463-y ↗
48. Gupta P · 2024 · 16110.1007/978-3-031-43725-0_5 ↗
49. 10.1038/s41586-020-2649-210.1038/s41586-020-2649-2 ↗
50. Stančin, I.; Jović, A. An overview and comparison of free Python libraries for data mining and big data analysis ; 2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2019, p. 977–82.10.23919/MIPRO.2019.8757088 ↗
51. Hetland M. L. · 2024 · 48710.1007/979-8-8688-0196-9_25 ↗
52. 10.1016/j.xpro.2023.10226910.1016/j.xpro.2023.102269 ↗
53. 10.1038/s41592-019-0686-210.1038/s41592-019-0686-2 ↗
54. MacFarland T. W. · 2016 · 10310.1007/978-3-319-30634-6_4 ↗
55. 10.1111/1751-7915.1422810.1111/1751-7915.14228 ↗
56. 10.1038/s41467-024-53989-610.1038/s41467-024-53989-6 ↗
57. 10.1007/s12393-025-09402-z10.1007/s12393-025-09402-z ↗
58. 10.1111/1751-7915.1236810.1111/1751-7915.12368 ↗
59. 10.1371/journal.pone.012043010.1371/journal.pone.0120430 ↗
60. 10.1007/s10973-017-6515-x10.1007/s10973-017-6515-x ↗
61. 10.1007/s10973-012-2895-010.1007/s10973-012-2895-0 ↗
62. 10.1186/s12934-020-01379-010.1186/s12934-020-01379-0 ↗
63. 10.1186/1475-2859-10-S1-S310.1186/1475-2859-10-S1-S3 ↗
64. 10.1186/2193-1801-2-8910.1186/2193-1801-2-89 ↗
65. 10.3390/microorganisms1002026710.3390/microorganisms10020267 ↗