Homeorhesis and ecological succession quantified in synthetic microbial ecosystems.

The dynamics of ecological change following a major perturbation, known as succession, are influenced by random processes. Direct quantitation of the degree of contingency in succession requires chronological study of replicate ecosystems. We previously found that population dynamics in carefully controlled, replicated synthetic microbial ecosystems were strongly deterministic over several months. Here, we present simplified, two-species microbial ecosystems consisting of algae and ciliates, imaged in toto at single-cell resolution with fluorescence microscopy over a period of 1 to 2 weeks. To directly study succession in these ecosystems, we deliberately varied the initial cell abundances over replicates and quantified the ensuing dynamics. The distribution of abundance trajectories rapidly converged to a nearly deterministic path, with small fluctuations, despite variations in initial conditions, environmental perturbations, and intrinsic noise, indicative of homeorhesis. Homeorhesis was also observed for certain phenotypic variables, such as partitioning of the ciliates into distinct size classes and clumping of the algae. Although the mechanism of homeorhesis observed in these synthetic ecosystems remains to be elucidated, it is clear that it must emerge from the ways each species controls its own internal states, with respect to a diverse set of environmental conditions and ecological interactions.

Directional locomotion of C. elegans in the absence of external stimuli.

Many organisms respond to food deprivation by altering their pattern of movement, often in ways that appear to facilitate dispersal. While the behavior of the nematode C. elegans in the presence of attractants has been characterized, long-range movement in the absence of external stimuli has not been examined in this animal. Here we investigate the movement pattern of individual C. elegans over times of ∼1 hour after removal from food, using two custom imaging set-ups that allow us to track animals on large agar surfaces of 22 cm×22 cm. We find that a sizeable fraction of the observed trajectories display directed motion over tens of minutes. Remarkably, this directional persistence is achieved despite a local orientation memory that decays on the scale of about one minute. Furthermore, we find that such trajectories cannot be accounted for by simple random, isotropic models of animal locomotion. This directional behavior requires sensory neurons, but appears to be independent of known sensory signal-transduction pathways. Our results suggest that long-range directional behavior of C. elegans may not be driven by sensory cues.

Engineering multicellular traits in synthetic microbial populations.

Without cell-to-cell communication, the organization and regulation of specialized cell types that underpin the development and physiology of multicellular organisms would be impossible. In nature, unicellular microbes have also been shown to display multicellular-like traits, such as intercellular communication, division of labor, and cooperative coordination of cellular activities. Likewise, the incorporation of artificial cell-to-cell communication into genetic circuit designs is enabling synthetic biologists to move from programming single cells towards the engineering of population-level behaviors and functions, such as diversification, spatial organization, synchronization, and coordinated information processing. The disciplined engineering goal of routinely building complex genetic circuits from well-characterized modules still poses challenges, owing to reusability and input-output matching problems resulting from information transfer being mediated through diffusible molecules. Optogenetic interfaces between circuits are considered as a possible solution.

Cooperation and Hamilton's rule in a simple synthetic microbial system.

A fundamental problem in biology is understanding the evolutionary emergence and maintenance of altruistic behaviors. A well-recognized conceptual insight is provided by a general mathematical relation, Hamilton's rule. This rule can in principle be invoked to explain natural examples of cooperation, but measuring the variables that it involves is a particularly challenging problem and controlling these variables experimentally an even more daunting task. Here, we overcome these difficulties by using a simple synthetic microbial system of producers and nonproducers of an extracellular growth-enhancing molecule, which acts as a 'common good.' For this system, we are able to manipulate the intrinsic growth difference between producers and nonproducers, as well as the impact of the common good on the growth rate of its recipients. Our synthetic system is thus uniquely suited for studying the relation between the parameters entering Hamilton's rule and the quantities governing the systems' behavior. The experimental results highlight a crucial effect of nonlinearities in the response to the common good, which in general tend to limit the predictive value of Hamilton's rule.

Simpson's paradox in a synthetic microbial system.

The maintenance of "public" or "common good" producers is a major question in the evolution of cooperation. Because nonproducers benefit from the shared resource without bearing its cost of production, they may proliferate faster than producers. We established a synthetic microbial system consisting of two Escherichia coli strains of common-good producers and nonproducers. Depending on the population structure, which was varied by forming groups with different initial compositions, an apparently paradoxical situation could be attained in which nonproducers grew faster within each group, yet producers increased overall. We show that a simple way to generate the variance required for this effect is through stochastic fluctuations via population bottlenecks. The synthetic approach described here thus provides a way to study generic mechanisms of natural selection.

Printing multistrain bacterial patterns with a piezoelectric inkjet printer.

Many studies involving interacting microorganisms would benefit from simple devices able to deposit cells in precisely defined patterns. We describe an inexpensive bacterial piezoelectric inkjet printer (adapted from the design of the POSaM oligonucleotide microarrayer) that can be used to "print out" different strains of bacteria or chemicals in small droplets onto a flat surface at high resolution. The capabilities of this device are demonstrated by printing ordered arrays comprising two bacterial strains labeled with different fluorescent proteins. We also characterized several properties of this piezoelectric printer, such as the droplet volume (of the order of tens of pl), the distribution of number of cells in each droplet, and the dependence of droplet volume on printing frequency. We established the limits of the printing resolution, and determined that the printed viability of Escherichia coli exceeded 98.5%.

The yeast clathrin adaptor protein complex 1 is required for the efficient retention of a subset of late Golgi membrane proteins.

In yeast, certain resident trans-Golgi network (TGN) proteins achieve steady-state localization by cycling through late endosomes. Here, we show that chitin synthase III (Chs3p), an enzyme involved in the assembly of the cell wall at the mother-bud junction, populates an intracellular reservoir that is maintained by a cycle of transport between the TGN and early endosomes. Traffic of Chs3p from the TGN/early endosome to the cell surface requires CHS5 and CHS6, mutant alleles of which trap Chs3p in the TGN/early endosome. Disruption of the clathrin adaptor protein complex 1 (AP-1) restores Chs3p transport to the plasma membrane. Similarly, in AP-1 deficient cells, the resident TGN/early endosome syntaxin, Tlg1p, is missorted. We propose that clathrin and AP-1 act to recycle Chs3p and Tlg1p from the early endosome to the TGN.