Table 3 Comparison of common experimental systems

From: Disentangling the feedback loops driving spatial patterning in microbial communities

 

Colonies on agar plates

Biofilms in flow cells

Monolayers in growth chambers

Microcolonies on agar pads

Scale

Cell numbera

>109

103–106

100–1000

10–500

Length scale

1–10 mm

10–500 μm

10–100 μm

5–20 μm

Imaging resolution

Population-level

Single-cell for small biofilms

Single-cell

Single-cell

Physical environment

Growth interface

Agar-air

Liquid-glass

Agar-liquid-glass

PDMS-liquid-glass

Density

High

High

High

Low

Physical constraints

None

None

Restricted in all dimensions

Restricted in z-dimension

Dominant forces

Crowding, friction, surface tension

Crowding, shear force

Crowding, friction

Crowding, friction, surface tension

Chemical environment

Nutrient supply

From agar, finite resources

From liquid, replenished

From liquid, replenished

From agar, finite resources

Dominant gradients

From air & agar interface to biofilm core

From liquid interface to biofilm core

From opening to death end of chamber

From edge to center of microcolony

Steady-state gradients?

Quasi-steady stateb

Quasi-steady stateb

Yes

No

Diffusion within community

Through crowded biofilm & agar

Through crowded biofilm

Through crowded chamber

Through agar

Chemical coupling between communities?

No

Yes, through flow and diffusion

No

Yes, through diffusion

Movement of cells between communities?

No

Yes, through flow and motility

No

Yes, through surface motility

  1. aCell numbers depend on setup, species, and growth media, a typical estimate is shown.
  2. bQuasi-steady state gradients are formed in large colonies and biofilms, where the chemical concentrations as a function of the distance from the edge are approximately constant in time.