Summary
The bacterium Bdellovibrio bacteriovorus attaches to the exterior of a Gram-negative prey cell, enters the periplasm, and harvests resources to replicate before lysing the host to find new prey1-7. Predatory bacteria such as this are common in many natural environments8-13, as are groups of matrix-bound prey cell clusters, termed biofilms14-16. Despite the ubiquity of both predatory bacteria and biofilm-dwelling prey, the interaction between B. bacteriovorus and prey inside biofilms has received little attention and has not yet been studied at the micrometer scale. Filling this knowledge gap is critical to understanding bacterial predator-prey interaction in nature. Here we show that B. bacteriovorus is able to attack biofilms of the pathogen Vibrio cholerae, but only up until a critical maturation threshold past which the prey biofilms are protected from their predators. Using high-resolution microscopy and detailed spatial analysis, we determine the relative contributions of matrix secretion and cell-cell packing of the prey biofilm toward this protection mechanism. Our results demonstrate that B. bacteriovorus predation in the context of this protection threshold fundamentally transforms the sub-millimeter scale landscape of biofilm growth, as well as the process of community assembly as new potential biofilm residents enter the system. We conclude that bacterial predation can be a key factor influencing the spatial community ecology of microbial biofilms.
eTOC Blurb
Wucher et al. show that biofilms of the pathogen Vibrio cholerae, a susceptible prey target to the predator B. bacteriovorus, can protect themselves from predator attack if they reach a critical cell-cell packing threshold. This protection threshold results in dramatic alterations of microscopic biofilm landscape structure and community assembly.
Results and Discussion
Biofilm formation is a common mode of microbial life in which cells of one or more species produce surface-attached or free-floating communities that are bound by a self-produced polymer matrix14-16. Biofilms are fundamental to microbial ecology in contexts including marine snow17-22, the rhizosphere23, microbiomes on or within multicellular organisms24,25, and acute and chronic infections26-28. Bacteria dwelling in these communities collectively determine their architecture using many mechanisms, including the matrix; this architecture then influences surface occupation, dispersal, competition for space and nutrients, and protection from exogenous threats29-33.
Many studies have shed light on the mechanisms that biofilm-dwelling bacteria use in response to bottom-up selective pressures such as spatial or nutritional competition16,22,31,34-45. Others have examined the influence of top-down selective pressures, such as toxin exposure and predation, which can have profound impacts on the behavior and survival of biofilm communities32,46-49. For example, the effects of antibiotics on biofilms have been investigated in detail; some but not all antimicrobials are blocked from diffusing completely into biofilms, and those that do permeate biofilms can substantially alter their spatial organization50-52. Other recent work has assessed the interaction of bacteriophages and biofilms at single-cell resolution, finding that some biofilms can block phage entry using components of the secreted matrix 32,52-55. The micrometer-scale dynamics of interaction between biofilms and larger predatory threats have received less attention, however. A key example of such a predator is Bdellovibrio bacteriovorus, which is ubiquitous in natural environments56-60.
B. bacteriovorus, a delta-proteobacterium approximately 1 μm in length, most often exhibits an obligate predatory lifestyle in which it targets Gram-negative prey, bores through the outer membrane into the periplasm, harvests resources to replicate, and lyses the host cell in search of new prey1-7. B. bacteriovorus can predate Escherichia coli and Pseudomonas fluorescens within biofilms in static culture and under flow61, and numerous studies have isolated B. bacteriovorus directly from biofilms on abiotic substrata and the surfaces of animals and plants in aquatic environments8-13. Predatory bacteria and biofilm communities are thus widespread in nature and commonly interact4,57,62-64, but the detailed spatial ecology of B. bacterivorous predation in this context is not well understood.
In aquatic environments, predatory bacteria are population modulators of the Vibrio clade64, and V. cholerae is a known susceptible prey target of B. bacterivorous65. We therefore chose V. cholerae, whose architectural dynamics and matrix components have been characterized in depth15,29,66-71, as a model organism to examine B. bacteriovorus interaction with prey biofilms. Using a combination of microfluidic culture, confocal imaging, and detailed spatial analysis, we explore how bacterial predation pressure influences biofilm structure and composition. We find that exposure to bacterial predators fundamentally alters the landscape of biofilm growth and communal defense against infiltration by newly arriving planktonic bacteria.
V. cholerae biofilms have a maturation threshold for protection from B. bacterivorous
To evaluate the interaction between pre-formed resident V. cholerae biofilms and their bacterial predators, we first cultivated V. cholerae on glass surfaces in microfluidic flow devices. Approximately 48 h after the initial surface inoculation and initiation of flow, we introduced B. bacteriovorus into the chambers over a period of 30 min, followed by resumption of predator-free medium flow for the remainder of the experiment. Biofilms were then imaged through their entire 3D volume by confocal microscopy (see STAR Methods).
Successful predation could be seen throughout the microfluidic arena among singleton prey V. cholerae. Cells on the periphery of biofilm clusters appeared susceptible as well, but the centers of larger biofilm clusters were devoid of predator cells (Figure 1A). Images taken 48 h after initial predator exposure showed that cells on the interior of these clusters remained unexposed to predation; remaining B. bacteriovorus cells were immobilized in the matrix milieu around resident prey throughout the expanding biofilm front (Figure 1B). These results suggest that one or more features of V. cholerae biofilm architecture inhibit predator cells from penetrating the biofilm interior.
We next sought to understand how V. cholerae biofilm structure influences spatial access by predator cells. Prior work has linked the biofilm matrix to protection of biofilms from entry by bacteriophages and competing microbes32,37,52; following this precedent, we were curious as to the contribution of the matrix in protection from B. bacteriovorus predation. To pursue this question we introduced a 3x-FLAG epitope to the N-terminus of the V. cholerae matrix protein RbmA; this construct allowed us to directly visualize the matrix without altering its function37,66,72. RbmA has been extensively characterized as a key matrix component, along with vibrio polysaccharide (VPS), in controlling cell-cell packing and alignment architecture within biofilms of this species29,30,66,68. Our visualizations showed that B. bacterivorous localized within the outermost layers of cells and matrix material in the periphery of larger biofilm clusters. V. cholerae cells outside of the matrix were frequently preyed upon (Figure 1C; Figure S1A). Visual inspection alone, however, could not determine whether proximity to matrix was sufficient on its own to protect prey from predatory bacteria.
To resolve this uncertainty, we performed a high-resolution analysis of the amount of secreted matrix, the cell-cell packing among prey V. cholerae cells, and the relationship between these biofilm features and local predation by B. bacteriovorus. We separated predator and prey biovolumes from background by segmentation and dissected them into a 3-D grid, with each cubic grid unit measuring 2.6 μm on a side (See Figure S1B). At this resolution, the grid units could contain ~3-5 cells of V. cholerae and/or B bacteriovorus. For each segmented V. cholerae biovolume, we calculated i) the local accumulation of RbmA matrix; ii) the local biovolume fraction (i.e. how much of a 1.5 μm shell around each segmented V. cholerae that was occupied by other V. cholerae); iii) the neighborhood biovolume fraction (i.e., how much of a 6 μm shell around each segmented V. cholerae was also occupied by V. cholerae); and finally iv) an overlap coefficient between V. cholerae and B. bacteriovorus (i.e., the degree of predation, see STAR Methods and Figure S1B-F). Note that the local and neighborhood biovolume fractions are both proxies for cell-cell packing of prey V. cholerae, but on two spatial scales, so they yield different information about localized versus more distal cell-packing architecture.
Using the metrics described above we analyzed n = 23 independent image stacks, which revealed four different sub-populations (Figure 1D). We label these E-H for correspondence with examples of each in panels E-H of Figure 1. Population E includes singleton V. cholerae cells with zero matrix, low local and neighborhood biovolume fractions, and which have been preyed upon by B. bacteriovorus (Figure 1E). Population F includes singletons much like population E, but which have not yet been found by a predator cell (Figure 1F). Population G includes V. cholerae clusters that have begun producing matrix, but which had not yet formed hemi-spherical groups; this sub-population had detectable matrix signal, high local biovolume fraction, but low neighborhood biovolume fraction (Figure 1G). Also in group G were units on the outer periphery of larger biofilm clusters. The cells in groups G, despite accumulating matrix and high local density, were highly susceptible to predation (Figure S1G). Lastly, population H included groups of cells on the interior of larger biofilm clusters; these had high matrix accumulation, high local and neighborhood biovolume fractions, and almost complete protection from predation (Figure 1H). Overall, these results suggest that local matrix accumulation alone is not sufficient for protection from B. bacteriovorus; rather, a combination of matrix secretion and cell-cell packing is at play.
To further explore the interaction between matrix production, cell-cell packing, and predation protection, we studied two additional mutants and their susceptibility to B. bacteriovorus. One is a vpvW240R point mutant that constitutively produces extracellular matrix – we refer to this strain as a matrix hyper-secretor. The other, ΔrbmA, harbors a clean deletion of the rbmA locus and cannot produce the core matrix protein RbmA. The hyper-secretor rapidly generates highly compact biofilm clusters relative to wild type73-75, and the ΔrbmA strain produces biofilms with far looser cell-cell packing and altered cell orientation architecture16,29,30,37,72,76. These strains – and WT for comparison – were grown in monoculture microfluidic devices and subjected to B. bacterivorous (Figure 2A-C).
The resulting image data were again segmented and dissected into a cubic grid for spatial analysis as described above. Panels D-F in Figure 2 show heatmaps of local versus neighborhood biovolume fraction with points color-coded according to predation state; panels G-H in Figure 2 show analogous heatmaps, but with points color-coded according to local RbmA accumulation. From this analysis it is evident that both WT and matrix hyper-secreting strains have a critical neighborhood biovolume fraction (~0.8) above which patches of cells are largely protected from predator exposure (Figure 2D-E; Figure S2A,B). Logistic regression of predation probability as a function of our three biofilm architecture measurements confirmed that neighborhood biovolume fraction is the dominant factor influencing the likelihood that V. cholerae prey succumb to B. bacteriovorus predation (these analyses are developed in the Supplemental Information, see Tables S1 and S2). A larger proportion of clusters of the matrix hyper-secreting strain reached this threshold before predator exposure, and so this strain had greater overall protection against predation (Figure S2C-E); hyper-secretor clusters were still susceptible to predation along their periphery in the same manner as larger WT biofilm clusters (Figure S2F-I). Importantly, however, even though the matrix hyper-secreting strain has a higher signature of matrix secretion (Figure 2G-H), its threshold biovolume fraction for protection against B. bacteriovorus was the same as that of WT. By comparison, biofilms of the ΔrbmA strain never reach the biovolume fraction threshold required for protection against predator attack, and nearly all cells are killed (Figure 2F).
Altogether these data suggest that it is not the extracellular matrix by itself but rather the collective cell-cell packing that emerges from cell-matrix and cell-cell interaction that ultimately provides protection against spatial access by B. bacteriovorus. Another notable implication of our analysis is that there are two advancing fronts on the periphery of growing V. cholerae biofilms. The first is the true outer layer of biofilm expansion in which cells are producing extracellular matrix but have not yet achieved the cell-packing required for B. bacteriovorus protection. The second front, lagging behind the first, is that at which matrix and cell-packing have fully matured, conferring lasting protection against invasion by bacterial predators. Our results imply that the consolidation rate of this secondary front exceeds the rate of infiltration and predation by B. bacteriovorus on the biofilm periphery, allowing the biofilm to maintain positive net growth despite grazing by the predators.
B. bacterivorous predation transforms the landscape of V. cholerae biofilm growth
Our results thus far establish a critical cell-packing threshold above which biofilms of V. cholerae survive exposure to B. bacteriovorus (Figure 2D-E; Figure S2); though the predator can continue grazing on the periphery of these biofilms, the prey cell clusters maintain positive net growth. This observation reminded us of studies at much larger spatial scales in the context of forest ecology. Our findings are comparable to browsing and fire traps, which can limit the recruitment of tree saplings to adult trees: only saplings past a size threshold survive herbivore grazing and fire to become adults77,78. Depending on grazing and fire frequency, this effect can generate vastly different distributions of tree biomass on continental scales79. With this analogy in mind, we were curious as to how exposure to B. bacteriovorus influence the sub-millimeter scale landscape of V. cholerae biofilms.
We explored this question by repeating the experiment above with a different imaging regime. V. cholerae was grown in microfluidic devices for 48 h before a single introduction of B. bacterivorous, followed by a return to predator-free media influx. In control treatments, the same tubing exchanges were performed, but no predators were introduced. We then imaged the biofilms by confocal microscopy 48 h later, which revealed dramatic differences between the two treatments. Control chambers contained a wide array of cell cluster sizes (Figure 3A). The frequency distribution of neighborhood biovolume fraction in this condition was broad with a shallow peak at ~0.35 (Figure 3C).
Biofilms exposed to B. bacteriovorus were strongly shifted toward very large cell clusters that had reached the ceiling of the chambers and grown into columnar structures, in contrast to the hemispherical biofilm microcolonies observed in the control chambers (Figure 3B). We could test whether the difference in biofilm cluster shape between the two treatments was consistent across all replicates by measuring the ratio of biomass at the base of biofilm clusters to that at the chamber mid-plane. This ratio was ~2 in control chambers but transitioned to 1 in predator-exposed chambers, reflecting the change from hemispherical to columnar cell groups (Figure 3D). The distribution of neighborhood volume fraction for predator-exposed biofilms showed a pronounced shift toward high values in the range of 0.8, the critical cutoff identified above for protection from predator attack (Figure 3C). This shift occurred within the first 16 hours after predator exposure (Figure S3A-C). In chambers with predators introduced, the space around large clusters was mostly unoccupied, presumably due to killing by B. bacteriovorus, which contrasted sharply with control chambers in which areas surrounding cell clusters were occupied by nascent biofilm clusters or cell monolayers (Figure S3D,E).
B. bacterivorous exposure alters biofilm surface structure and allows infiltration by newly arriving bacteria
An additional observation from our long-term imaging experiments was that among biofilm clusters which survive predator-exposure, their outermost layers – which remained susceptible to B. bacteriovorus – look to be more loosely packed than those of biofilms in the control condition (Figure 3B). Cell packing in the exterior of biofilms is an important element of a community barrier function in V. cholerae and other microbes, which protects against intra- and inter-specific infiltration37,52. Typically, V. cholerae biofilms rarely allow for successful surface colonization by other bacteria, and they are extremely resistant to infiltration into their interior37,52. The packing architecture that confers this protection is a result of cell-matrix and cell-cell interactions which altogether form the basis of structural strength in their biofilms. We hypothesized that by killing a fraction of cells in the biofilm exterior layer, B. bacteriovorus partially compromises this packing architecture, perhaps rendering them less resistant to entry by other bacteria including conspecific or heterospecific competitors. To test this idea, we once again grew V. cholerae biofilms for 48 hours and subjected them to B. bacteriovorus. 48 hours later, we introduced new competitors to the environment in the form of an isogenic V. cholerae strain that produced a different fluorescent protein than the resident biofilm, so the two could be distinguished from each other and the predatory cells.
In control chambers without predator exposure, resident biofilms blocked invasion of newly introduced cells, as seen previously37 (Figure 4A). In contrast, predator-exposed biofilms permitted substantial infiltration of competitors past their outer boundaries (Figure 4B-D). Quantifying these results by image analysis, invasion of invading competitors into predator-exposed biofilms was ~40-fold greater than for control biofilms (Figure 4E). Areas of resident biofilms with many B. bacterivorous cells present also appeared to have a higher density of invading cells (Figure 4C,D). Analyzing these data at finer spatial resolution, we found a linear correlation between the number of invading cells present in a given location as a function of how much predation that location had experienced (Figure 4F). This outcome is consistent with our hypothesis that B. bacteriovorus predation disrupts local biofilm architecture and renders it more openly exposed to entry by other cells. Importantly, we could show that the same qualitative pattern applies to colonizing cells of other species: E. coli was blocked from invading the interior of V. cholerae biofilms unexposed to predation, but they were able to enter biofilms that had been preyed upon (Figure S4). In this respect B. bacteriovorus not only alters the structure of the outermost biofilm front but also changes the ecology of biofilm assembly as new and potentially competing (but-non-predatory) cells enter the system.
Predator-prey interactions in the context of microbial biofilms are almost certainly widespread in nature; we are only in the early stages of understanding the micrometer-scale processes that determine the outcome of these encounters, the underlying molecular mechanisms of these encounters, and the consequences for microbial ecology and evolution. Major steps forward have recently been made to understand phage-biofilm interaction32,52,55,80, and landmark papers have begun to characterize predation by larger protist predators and cells of metazoan immune systems at high resolution46,81-83. B. bacteriovorus, a ubiquitous threat to prey bacteria, has been investigated interacting with biofilms, but primarily via macroscopic assays61,63. Here we build on this foundation with the first high-resolution live imaging and analysis of B. bacteriovorus preying upon biofilms of V. cholerae. The V. cholerae cell-cell packing threshold that we discovered, past which predators are not able to access their prey, reveals novel insights into the mechanisms of biofilm architecture maturation, and it leads to fundamental transformations of biofilm micro-landscape structure and community assembly. These transformations suggest that bacterial predators can act as key modulators of community dynamics, and uncovering how these predators influence more complex biofilms containing multiple prey species is a critical area for future work.
STAR Methods
Resource Availability
Lead Contact
More information regarding the resources and reagents used in this study should be directed to the lead contact, Carey Nadell (carey.d.nadell@dartmouth.edu)
Materials availability
All plasmids and reagents generated in this study are available upon request to the lead contact, Carey Nadell.
Data and code availability
All raw data generated for this paper are available upon request to the lead contact, Carey Nadell.
Experimental model and subject details
Prior to experiments, V. cholerae and E. coli strains were grown overnight in lysogeny broth medium (LB) in a shaking incubator at 37°C. B. bacteriovorus were obtained via co-culture using E. coli WM 3064 as prey; these co-cultures were incubated at 30 °C for 24 hours, and predators were purified by filtration using 0.45-μm Millex pore-size filter (Millipore, Billerica, MA, USA) in order to remove any remaining prey debris. B. bacteriovorus was washed by centrifugation (13,000 rpm for 45 min) and resuspended in fresh buffer to reach a final concentration of ~5×109 PFU/ml. B. bacteriovorus cultivation and isolation protocols have been described in additional detail previously84. Standard molecular cloning techniques were used to construct the strains used in this study. Modifications to V. cholerae were made using E. coli strain S-17-λpir carrying the allelic exchange vector pBW1 as previously described22. Antibiotics and reagents used for counter selection were used at the following concentrations: 100μg/ml ampicillin, 50μg/ml kanamycin, 50μg/ml polymyxin B, 5% sucrose. All reagents were obtained from Millipore Sigma unless otherwise stated. All biofilm experiments were performed in M9 minimal medium, with the addition of 2 mM MgSO4, 100mm CaCl2, MEM vitamins, 0.5% glucose, and 15mM triethanolamine (pH 7.1).
Method details
Microfluidic assembly
Poly-dimethylsiloxane (PDMS) was used to cast microfluidic chambers using standard soft lithography techniques85,86. The chambers were bonded to #1.5 coverslips measuring 36mm by 60 mm (WxL). The chambers used for this study had dimensions of 3000μm x 500μm x 75μm (LxWxD). In order to run media through these chambers, 1mL of M9 with 0.5% glucose was loaded into 1mL BD plastic syringes. 25-gauge needles were affixed to the syringes and #30 Cole Palmer PTFE tubing with an inner diameter of 0.3mm was placed over the end of the needle. The other end of this tubing was then placed into pre-bored holes in the microfluidic devices. An additional length of tubing was run from the auxiliary channels in the device to a vacuum line, which prevented bubbles from entering the system. Syringes were mounted to Pico Plus Syringe Pumps (Harvard Apparatus)
Biofilm growth conditions and matrix staining
Biofilms were grown in microfluidic chambers that were fabricated as described above. Overnight cultures of V. cholerae were back-diluted into M9 minimal medium with 0.5% glucose and allowed to re-enter exponential phase (OD600 = 1.0) to acclimate to the media conditions used for biofilm growth (M9 minimal media with 0.5% glucose). These cultures were inoculated into chambers without flow to allow surface colonization for 1 h. After this period, a flow rate of 0.2μL/min was established for the remainder of the experiment. All experiments were performed at room temperature. For matrix staining experiments in which V. cholerae harbored an N-terminal fusion of 3xFLAG to RbmA, a monoclonal anti-FLAG antibody conjugated to a Cy3 fluorophore added to the influx medium at 1 μg/ml.
Introduction of predators and invading competitor bacteria
Introduction of predators was performed in a similar fashion to the method used for initial chamber inoculation with V. cholerae. B. bacteriovorus (OD600=1.0; ~2.5x109 PFU/mL) was inoculated into the system by gently removing the sterile media inlet tubing and introducing 20μL of B. bacteriovorus chambers via micropipette. The media tubing was then returned to its position, and flow was resumed 30 minutes after introduction of predators. For experiments in which biofilms were challenged with either invading V. cholerae or E. coli, a similar regime was carried out. Overnight cultures of V. cholerae or E. coli housing a different fluorescent protein than the resident biofilms were diluted to an OD600 of 1.0 and then inoculated into the chambers. Tubing was replaced and flow was resumed 30 minutes after introduction of the invading strain.
Microscopy and image analysis
Imaging of the biofilms was performed with a Zeiss LSM 880 laser scanning confocal microscope, fitted with a 40x /1.2 N.A. water objective or a 10x/ 0.4 N.A. water objective. A 488-nm laser line was used to excite the GFP produced constitutively by B. bacteriovorus. To Image V. cholerae, a 594-nm laser was used to excite mKate2 in the resident strain, and a 543-nm laser was used to excite mKO-κ for the invading strain. For experiments in which RbmA matrix was imaged, the 543-nm laser was used to excite the Cy-3 fluorophore conjugated to the anti-FLAG antibody used for RbmA immunostaining. Microscope hardware was controlled by the native Zeiss Zen Black software. To obtain data for image analysis, several image stacks were taken at independent locations within different chamber replicates. These image stacks were then analyzed using the BiofilmQ framework. A detailed explanation of BiofilmQ is developed in a dedicated publication87. 3D renderings were created by first using the VTK output feature present in BiofilmQ. These files could then be processed in ParaView and rendered using Osprey ray tracing.
Experimental Design
All experiments were carried out with n independent biological replicas, with sample sizes for each experiment noted in the respective figure legends; all data were processed and analyzed using the BiofilmQ framework as noted above. In each replicate, the number of individual bacteria is variable, as biofilm size can vary between chambers. Blinding of these replicates does not apply, and no data were excluded from the study.
Quantification and statistical analysis
Logistic regression (generalized linear models with binomial errors in R version 4.0.288) was used to analyze data in Figure 2 to assess how local matrix accumulation, local biovolume fraction, and neighborhood biovolume fraction contributed to the probability of predation for WT and matrix hyper-secreting biofilms of V. cholerae (See Tables S1 and S2 with accompanying discussion). For these analyses, the degree of overlap between B. bacterivorous and V. cholerae in each unit of the 3-D grid was transformed into a binary variable, with 0 indicating no overlap (predation absent) and 1 indicating some overlap (predation present). Variance inflation factors were calculated to test for problematic collinearity among predictors89, of which none was found. Kolmogorov-Smirnov tests were used for comparisons of frequency distributions in the Supplemental Information. Wilcoxon signed ranks tests were used for pairwise comparisons of microcolony area in different biofilm landscapes in Figure 3, as well as the differences in the biovolume of invading individuals in Figure 4. For all data sets, sample sizes are stated in each corresponding figure legend.
Supplementary Material
Reagent or Resource | Source | Identifier |
---|---|---|
Antibodies | ||
Cy3 conjugated anti-FLAG | Millipore-Sigma | Cat#A9594 |
Bacterial Strains and Viruses | ||
E. coli S17-1 λpir | Strain S17 | |
E coli AR 3110, lacZ:Ptac-mKO-κ | Strain CNE 689 | |
B. bacteriovorus 109J, PMQ581, gfpmut3 | This study | Strain 109J |
V. cholerae vpvC W240R matrix hyper secretor, lacZ:Ptac-mKate2 | This study | Strain CNV 64 |
V. cholerae N16961 rbmA-3xFLAG, lacZ:Ptac-mKate2 | 22 | Strain CNV 116 |
V. cholerae N16961 rbmA-3xFLAG, lacZ:Ptac-mKO-κ | 22 | Strain CNV 121 |
V. cholerae N16961, lacZ:Ptac-mKate2 ΔrbmA | 22 | Strain CNV 127 |
V. cholerae vpvC W240R matrix hyper secretor rbmA-3xFLAG, lacZ:Ptac-mKate2 | This study | Strain CNV 252 |
Chemicals, Peptides and Recombinant Proteins | ||
Ampicillin | Millipore-Sigma | Cat#A0166 |
Kanamycin | Millipore-Sigma | Cat#60615 |
Polymyxin B | Millipore-Sigma | Cat#P4932 |
MEM Vitamins Solution (100x) | Millipore-Sigma | Cat#M6895 |
Recombinant DNA | ||
pBW with N-terminal rbmA-3xFLAG insertion | This study | Plasmid pCN769 |
pMQ581 Constructed by replacement of tdTomato with gfpmut3 in pMQ414 parental plasmid | 84 | Plasmid pMQ581 |
Software and Algorithms | ||
ZEN Black | Zeiss | Version 2.3 |
ZEN Blue | Zeiss | Version 2.3 |
MATLAB | MathWorks | Version R2018b |
Paraview | Kitware | Version 5.1.2 |
Prism | GraphPad | Version 7.02 |
BiofilmQ | 87 | Version 0.2.2 |
R | glm, ‘car’ package | Version 4.0.2 |
Highlights.
Biofilms with high cell packing are protected from bacterial predator access
The protection effect strongly alters biofilm micro-landscapes after predation
Predation on the periphery of biofilms loosens their local architecture
These changes in biofilm structure allow other bacteria to invade prey biofilms
Acknowledgements
We thank K.M. Atwood, R.W. Baker, A. Persat, N.W. Rigel, B.D. Ross, D. Schultz, K. Drescher, and members of the Nadell Lab for their comments on the project. We also thank M.A. McPeek for assistance with logistic regression analyses, as well as Dr. Robert Shanks for providing us with the pMQ581 plasmid. BRW is supported by a Gilman Fellowship from the Department of Biological Sciences at Dartmouth. CDN is supported by NSF grant MCB 1817342, NSF grant IOS 2017879, a Burke Award from Dartmouth, NIH grant 2R01AI081838 to PI Robert Cramer, NIH grant P20-GM113132 to the Dartmouth BioMT COBRE, and grant RGY0077/2020 from the Human Frontier Science Foundation with co-PI A. Persat.
Footnotes
Declaration of Interests
The authors declare that they have no conflicts of interest.
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This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All raw data generated for this paper are available upon request to the lead contact, Carey Nadell.