Micro-biogeography greatly matters for competition: Continuous chaotic bioprinting of spatially-controlled bacterial microcosms

Cells do not work alone but instead function as collaborative micro-societies. The spatial distribution of different bacterial strains (micro-biogeography) in a shared volumetric space, and their degree of intimacy, greatly influences their societal behavior. Current microbiological techniques are commonly focused on the culture of well-mixed bacterial communities and fail to reproduce the micro-biogeography of polybacterial societies. Here, fine-scale bacterial microcosms are bioprinted using chaotic flows induced by a printhead containing a static mixer. This straightforward approach (i.e., continuous chaotic bioprinting) enables the fabrication of hydrogel constructs with intercalated layers of bacterial strains. These multi-layered constructs are used to analyze how the spatial distributions of bacteria affect their social behavior. Bacteria within these biological microsystems engage in either cooperation or competition, depending on the degree of shared interface. Remarkably, the extent of inhibition in predator-prey scenarios increases when bacteria are in greater intimacy. Furthermore, two Escherichia coli strains exhibit competitive behavior in well-mixed microenvironments, whereas stable coexistence prevails for longer times in spatially structured communities. Finally, the simultaneous extrusion of four inks is demonstrated, enabling the creation of higher complexity scenarios. Thus, chaotic bioprinting will contribute to the development of a greater complexity of polybacterial microsystems, tissue-microbiota models, and biomanufactured materials.

[1]  Blair J. Rossetti,et al.  Biogeography of a human oral microbiome at the micron scale , 2016, Proceedings of the National Academy of Sciences.

[2]  Christopher P. Long,et al.  Metabolism in dense microbial colonies: 13C metabolic flux analysis of E. coli grown on agar identifies two distinct cell populations with acetate cross-feeding. , 2018, Metabolic engineering.

[3]  J. Stolaroff,et al.  Direct Writing of Tunable Living Inks for Bioprocess Intensification. , 2019, Nano letters.

[4]  T. Vermonden,et al.  Renal Tubular‐ and Vascular Basement Membranes and their Mimicry in Engineering Vascularized Kidney Tubules , 2018, Advanced healthcare materials.

[5]  S. Soliman,et al.  A multilayer scaffold design with spatial arrangement of cells to modulate esophageal tissue growth. , 2019, Journal of biomedical materials research. Part B, Applied biomaterials.

[6]  J Andrew Jones,et al.  Use of bacterial co-cultures for the efficient production of chemicals. , 2018, Current opinion in biotechnology.

[7]  Bonnie L Bassler,et al.  Bacterial quorum sensing in complex and dynamically changing environments , 2019, Nature Reviews Microbiology.

[8]  R. Knight,et al.  Microbial biogeography and ecology of the mouth and implications for periodontal diseases. , 2020, Periodontology 2000.

[9]  Ali Khademhosseini,et al.  4D bioprinting: the next-generation technology for biofabrication enabled by stimuli-responsive materials , 2016, Biofabrication.

[10]  Jin Chen,et al.  Metabolic modeling of a chronic wound biofilm consortium predicts spatial partitioning of bacterial species , 2016, BMC Systems Biology.

[11]  Erin C Garcia,et al.  Contact-dependent interbacterial toxins deliver a message. , 2018, Current opinion in microbiology.

[12]  Glen D'souza Phenotypic variation in spatially structured microbial communities: ecological origins and consequences. , 2020, Current opinion in biotechnology.

[13]  C. Dytham,et al.  Spatial Organization of Expanding Bacterial Colonies Is Affected by Contact-Dependent Growth Inhibition , 2019, Current Biology.

[14]  M. Goto,et al.  Polymerization of Horseradish Peroxidase by a Laccase-Catalyzed Tyrosine Coupling Reaction. , 2019, Biotechnology journal.

[15]  S. Wielgoss,et al.  The biogeography of kin discrimination across microbial neighbourhoods , 2016, Molecular ecology.

[16]  A. Meyer,et al.  A Straightforward Approach for 3D Bacterial Printing , 2017, ACS synthetic biology.

[17]  Stefan Schuster,et al.  Fitness and stability of obligate cross-feeding interactions that emerge upon gene loss in bacteria , 2013, The ISME Journal.

[18]  F. Muzzio,et al.  The Kenics Static Mixer : a Three-dimensional Chaotic Flow , 1997 .

[19]  R. Knight,et al.  Bacterial Community Variation in Human Body Habitats Across Space and Time , 2009, Science.

[20]  Richard M. Murray,et al.  Cooperation Enhances Robustness of Coexistence in Spatially Structured Consortia , 2018 .

[21]  K. Ribbeck,et al.  Engineering mucus to study and influence the microbiome , 2019, Nature Reviews Materials.

[22]  Z. Qin,et al.  Tuning gradient microstructures in immiscible polymer blends by viscosity ratio , 2019, Journal of Applied Polymer Science.

[23]  Wei Chen,et al.  Reconstruction and analysis of a genome-scale metabolic model of the oleaginous fungus Mortierella alpina , 2015, BMC Systems Biology.

[24]  A. Halasz Lactic Acid Bacteria , 2019, Methods in Molecular Biology.

[25]  Xuehui Zhang,et al.  Design and fabrication of a chitosan hydrogel with gradient structures via a step-by-step cross-linking process. , 2017, Carbohydrate polymers.

[26]  Juan F Yee-de León,et al.  Using chaotic advection for facile high-throughput fabrication of ordered multilayer micro- and nanostructures: continuous chaotic printing , 2020, Biofabrication.

[27]  Seppo Salminen,et al.  Lactic Acid Bacteria , 2004 .

[28]  Andrew J. Hirning,et al.  Long-range temporal coordination of gene expression in synthetic microbial consortia , 2019, Nature Chemical Biology.

[29]  M. Vaneechoutte,et al.  Bacterial biofilms in the vagina. , 2017, Research in microbiology.

[30]  M. Grube,et al.  Differential sharing and distinct co‐occurrence networks among spatially close bacterial microbiota of bark, mosses and lichens‬‬ , 2017, Molecular ecology.

[31]  Z. Qin,et al.  Tailored Gradient Morphologies and Anisotropic Surface Patterns in Polymer Blends , 2018, Macromolecular Materials and Engineering.

[32]  Mattheos A G Koffas,et al.  Production of pyranoanthocyanins using Escherichia coli co-cultures. , 2019, Metabolic engineering.

[33]  Luke McNally,et al.  The biogeography of polymicrobial infection , 2015, Nature Reviews Microbiology.

[34]  Manfred Dietel,et al.  Mucosal flora in inflammatory bowel disease. , 2002, Gastroenterology.

[35]  Marcel A. Heinrich,et al.  Rapid Continuous Multimaterial Extrusion Bioprinting , 2017, Advanced materials.

[36]  A. Dhanani,et al.  The ability of Lactobacillus adhesin EF-Tu to interfere with pathogen adhesion , 2011 .

[37]  Masoud Rahimi,et al.  Liquid–liquid two-phase mass transfer in T-type micromixers with different junctions and cylindrical pits , 2016 .

[38]  William C Ratcliff,et al.  Killing by Type VI secretion drives genetic phase separation and correlates with increased cooperation , 2017, Nature Communications.

[39]  J. Boedicker,et al.  Modeling Multispecies Gene Flow Dynamics Reveals the Unique Roles of Different Horizontal Gene Transfer Mechanisms , 2018, Front. Microbiol..

[40]  William R. Harcombe,et al.  Bioprinting microbial communities to examine interspecies interactions in time and space , 2018, Biomedical Physics & Engineering Express.

[41]  Richard M. Murray,et al.  Cooperation Enhances Robustness of Coexistence in Spatially Structured Consortia , 2018, bioRxiv.

[42]  J. Cremer,et al.  Cooperation in Microbial Populations: Theory and Experimental Model Systems. , 2019, Journal of molecular biology.

[43]  P. Straight,et al.  Bacterial Communities: Interactions to Scale , 2016, Front. Microbiol..

[44]  Emergent microscale gradients give rise to metabolic cross-feeding and antibiotic tolerance in clonal bacterial populations , 2019, Philosophical Transactions of the Royal Society B.

[45]  S. Lebeer,et al.  Towards a better understanding of Lactobacillus rhamnosus GG - host interactions , 2014, Microbial Cell Factories.

[46]  K. Foster,et al.  The Evolution and Ecology of Bacterial Warfare , 2019, Current Biology.

[47]  Fernando J. Muzzio,et al.  Self-Similar Spatiotemporal Structure of Intermaterial Boundaries in Chaotic Flows , 1998 .

[48]  M. Alvarez,et al.  Mixing in Globally Chaotic Flows , 1997 .

[49]  Jingbo Peng,et al.  Vaginal microbiomes and ovarian cancer: a review. , 2020, American journal of cancer research.

[50]  D. Relman,et al.  A spatial gradient of bacterial diversity in the human oral cavity shaped by salivary flow , 2018, Nature Communications.

[51]  Dongdong Xu,et al.  Bacterial Photolithography: Patterning Escherichia coli Biofilms with High Spatial Control Using Photocleavable Adhesion Molecules , 2018, Advanced biosystems.

[52]  G. Borisy,et al.  Biogeography of the Oral Microbiome: The Site-Specialist Hypothesis. , 2019, Annual review of microbiology.

[53]  R. Korpela,et al.  Interactions between Lactobacillus rhamnosus GG and oral micro-organisms in an in vitro biofilm model , 2016, BMC Microbiology.

[54]  Xiao-jun Ma,et al.  A crucial role for spatial distribution in bacterial quorum sensing , 2016, Scientific Reports.

[55]  B. Duim,et al.  High prevalence of fecal carriage of extended spectrum β-lactamase/AmpC-producing Enterobacteriaceae in cats and dogs , 2013, Front. Microbiol..

[56]  G. Borisy,et al.  Spatial organization of a model 15-member human gut microbiota established in gnotobiotic mice , 2017, Proceedings of the National Academy of Sciences.

[57]  Jie Zhou,et al.  Biotechnological potential and applications of microbial consortia. , 2019, Biotechnology advances.

[58]  D. Or,et al.  The engineering of spatially linked microbial consortia – potential and perspectives , 2020, Current opinion in biotechnology.

[59]  M. Feldman,et al.  Local dispersal promotes biodiversity in a real-life game of rock–paper–scissors , 2002, Nature.

[60]  M. Ackermann,et al.  Metabolic activity affects the response of single cells to a nutrient switch in structured populations , 2019, Journal of the Royal Society Interface.

[61]  James M. Wagner,et al.  Compartmentalized microbes and co-cultures in hydrogels for on-demand bioproduction and preservation , 2020, Nature Communications.

[62]  James J. Yoo,et al.  3D Bioprinted Human Skeletal Muscle Constructs for Muscle Function Restoration , 2018, Scientific Reports.

[63]  Nam-Trung Nguyen,et al.  Micromixers?a review , 2005 .

[64]  Joseph R. Peterson,et al.  Parametric studies of metabolic cooperativity in Escherichia coli colonies: Strain and geometric confinement effects , 2017, PloS one.

[65]  D. Kohlheyer,et al.  A microfluidic co-cultivation platform to investigate microbial interactions at defined microenvironments. , 2018, Lab on a chip.

[66]  Huabing Yin,et al.  Dissecting horizontal and vertical gene transfer of antibiotic resistance plasmid in bacterial community using microfluidics. , 2019, Environment international.

[67]  Spatiotemporal dynamics of synthetic microbial consortia in microfluidic devices. , 2019, ACS synthetic biology.

[68]  M. Ackermann,et al.  Environmental drivers of metabolic heterogeneity in clonal microbial populations. , 2019, Current opinion in biotechnology.

[69]  Y. S. Zhang,et al.  Effective bioprinting resolution in tissue model fabrication. , 2019, Lab on a chip.

[70]  R. Hengge,et al.  Spatial organization of different sigma factor activities and c-di-GMP signalling within the three-dimensional landscape of a bacterial biofilm , 2018, Open Biology.

[71]  Pawel Romanczuk,et al.  Proto-cooperation: group hunting sailfish improve hunting success by alternating attacks on grouping prey , 2016, Proceedings of the Royal Society B: Biological Sciences.

[72]  I. Dige,et al.  Molecular Studies of the Structural Ecology of Natural Occlusal Caries , 2014, Caries Research.