Microbial cell and population biology

Template:Stub Microbial cell and population biology. The study of the cell biology of microorganisms, microbial interactions, signalling and evolutionary adaptations, multicellular-microorganisms and communities such as biofilms

Single-celled microorganisms generally exhibit two distinct modes of behavior. The first is the familiar free floating, or planktonic, form in which single cells float or swim independently in some liquid medium. The second is an attached state. Caulobacter crescentus is an example of a bacterium in which the plantonic and attached forms have distinctive diffences in morphology, and this bacterium forms a stalk when it attaches to a surface, and when the attached cell divides it release a motile swarming cell which lacks a stalk.

In other cases attachement depends on in which cells are closely packed and firmly attached to each other and the solid surface by capsule and pilus stuctures. The change in behaviour after attachment is triggered by a quorum sensing signaling mechanism that varies among species. When a cell switches modes, it undergoes a phenotypic shift in behavior in which large suites of genes are up- and down- regulated.

Although most microbes to not form specialized tissues like those found in plants and animals, they may, never-the-less, cooperate one another and they have highly developed signalling systems to do this. One form of interaction is formation of mixed communities on surfaces or biofilms.

In some cases microorganisms for true multicellular structures. The filamentous Streptomyces soil bacteria are one example.

Cooperation among microorganisms

Link to orginal PLoS Publication: Cooperation among Microorganisms

Ned S. Wingreen, Simon A. Levin*

One of the organizing principles of life on Earth is that cells cooperate. This is evident in the case of multicellular organisms, from nematodes to humans, but it also appears to apply widely among single-celled organisms such as bacteria, fungi, and amoeba. In many cases, the label “single-celled” applies to only part of the life cycle of these organisms. For example, the model amoeba Dictyostelium discodium is single-celled under conditions of nutritional abundance, but upon starvation, it communicates to form aggregates that subsequently pass through multicellular stages of slug and fruiting body. Indeed, in light of recent discoveries of communication among bacteria and the importance and prevalence of bacterial biofilms, “single-celled” may turn out to be a misnomer even for these organisms. Here we highlight some of the better-studied examples of cooperation among microorganisms and attempt to identify some of the important questions in this emerging field. Understanding cooperation among microorganisms presents conceptual and mathematical challenges at the interface of evolutionary biology and the theory of emergent properties of independent agents, two of the most exciting areas in modern mathematical biology.

Inter-species cooperation

Most of the best-studied cases of cooperation among microorganisms concern intraspecies cooperation. An example of this is quorum sensing among bacteria, in which cells produce, secrete, and detect small molecules, called autoinducers. At high enough autoinducer concentrations (high cell densities), the bacteria enter a new mode of existence characterized by expression of genes associated with collective behaviors that are best carried out in concerted fashion by many cells [1]. These behaviors include the formation of protective biofilms, the expression of virulence factors to attack a host, the production of light, the establishment of competence to exchange DNA (a bacterial form of sexual recombination), and many others. The signaling pathway for one of the better- studied quorum-sensing circuits, that of Vibrio cholerae, the human pathogen, is shown in Figure 1.

Figure 1. Quorum-Sensing Circuit of the Bacterial Pathogen Vibrio cholerae Red arrows indicate phosphoryl-group transfer [1]. (Figure: Matthew B. Neiditch, Princeton University, Princeton, New Jersey, United States). Cooperation among Microorganisms Ned S. Wingreen, Simon A. Levin PLoS Biol 4(9): e299. DOI:10.1371/journal.pbio.0040299 Published: September 12, 2006

Another well-studied example of intraspecies cooperation concerns the cyanobacterium Anabaena, which grows in long chains, in which approximately one cell out of ten differentiates into a heterocyst that provides fixed nitrogen for the neighboring cells (Figure 2) [2]. Dictyostelium is probably the most-studied model for cooperation among eukaryotic microorganisms, but even in the nonmotile eukaryote Saccharomyces cerevisiae, hyphal growth (that is, filamentous growth) can be viewed as a cooperative mechanism for foraging.

Figure 2. Heterocyst Differentiation in Anabaena sp. UTCC-426 (Photograph: Mary Olaveson, University of Toronto Scarborough, Toronto, Ontario, Canada). Cooperation among Microorganisms Ned S. Wingreen, Simon A. Levin PLoS Biol 4(9): e299. DOI:10.1371/journal.pbio.0040299 Published: September 12, 2006

Inter-species cooperation

Cooperation between different microorganism species is much less understood, or studied, partially for practical reasons, but also because the ubiquity of communication among microorganisms has only recently been appreciated. Nevertheless, it has been clear for many years that bacteria form biofilms on many surfaces (including human teeth, artificial joints, and organs, as well as on the surfaces and in the roots of plants, including crops) that consist of large consortia of different organisms. Moreover, it is clear that, far from being a case of pure Darwinian competition, interactions among these species and with eukaryotic hosts may be mutually beneficial. A recent case in point is the discovery of a mutualistic interaction of four bacterial species with the tomato plant (M. del Gallo, personal communication). Rather than competing, the four species coexist and strongly promote plant growth by fixing nitrogen, providing growth hormones, and preventing hostile bacterial species from growing. Tooth biofilms have been shown to consist of stable consortia of hundreds of distinct species, and bacterial mats are believed to consist of even larger numbers of species, in dynamic equilibrium among themselves, and with multiple bacterial viruses. Interest in bacterial cooperation has been spurred by the discovery that one of the autoinducers, named AI-2 (a furanone), is produced by a wide variety of bacteria, including most known human pathogens, and it may be one of a class of universal interspecies communication molecules [3,4].

These examples highlight the range of behaviors that could be termed “cooperation.” Cooperative behaviors include complex social interactions such as division of labor and mutualism in providing shelter, foraging, reproduction, and dispersal [5]. The examples also highlight the importance of communication in adjusting group behavior to environmental circumstances and population density. Cooperation also has its discontents, and there is growing interest in the role and fate of “cheaters” among microorganisms. There is some evidence as well for “police,” particularly in the context of bacterial-host interactions, in which host systems favor the growth of symbiotic bacteria but discourage growth of noncooperative, but otherwise identical, cells [6,7]. For a recent review of communication in bacteria that highlights these issues, see [8].

Understanding how cooperation arose and is maintained, particularly among large numbers of species, presents a challenge for practitioners of both molecular biology and evolutionary biology, as well as for theorists. Is cooperation best understood as the convergence of the immediate self-interest of multiple parties? Or can evolution lead to stable cases of short-term altruistic behavior, providing long-term benefit for all? These questions have been central in evolutionary biology since the time of Darwin, who regarded apparently altruistic behavior as a challenge for his theory. Especially puzzling was the extreme levels of cooperation and altruism, termed eusociality, in the haplodiploid insects and termites.

J. B. S. Haldane elucidated a fundamental principle underlying apparent altruistic behavior when he said that he would lay down his life to save two brothers or eight cousins, reflecting the one-half and one-eighth of his genes he shared with each, respectively. William D. Hamilton formalized these notions in his theory of kin selection, pointing out that the enhanced genetic relatedness of haplodiploid sisters, who share three-quarters of their genes, facilitates “altruism” in the haplodiploid species. Subsequent work has shown that kin selection can also work effectively under conditions of low relatedness and, furthermore, is not even necessary for cooperative behavior to arise. Cooperation can similarly be facilitated among unrelated individuals, for example, when the spatial range of interactions is restricted. Kin selection may play a role when limited spatial range is involved, but it is not essential [9]. On the other hand, a limited range of spatial interactions is no guarantee of cooperation; it can just as well lead to spite and selfish behavior, as in the production of allelopathic substances in microorganisms and plants [10]. For reviews of the selective mechanisms leading to cooperation and altruism, see [11–13].

The challenges in understanding cooperation and how it becomes reinforced over evolutionary time to produce stable mutualisms and even multicellularity is at the core of understanding biology. It is key to understanding how complexity arose evolutionarily, how organisms band together and profit from collective decision making, and how populations of diverse organisms interact to produce self-reinforcing networks of mutual benefit. It is also key to understanding the maintenance of ecological communities and patterns of nutrient cycling. The mathematical approaches of the past provide a foundation, but new mathematical techniques drawn from such diverse subjects as dynamical game theory and spatial stochastic processes will be needed to lay bare the essential truths. Considerable progress has been made in the past few years in developing the relevant mathematics, and we are at the threshold of dramatic advances in our understanding of cooperative behavior, one of the central and fundamental issues in biology.
References cited by Wingreen and Levin 2006

• 1. Waters CM, Bassler BL (2005) Quorum sensing: Cell-to cell communication in bacteria. Annu Rev Cell Dev Biol 21: 319–346. Find this article online
• 2. Zhang CC, Laurent S, Sakr S, Peng L, Bedu S (2006) Heterocyst differentiation and pattern formation in cyanobacteria: A chorus of signals. Mol Microbiol 59: 367–375. Find this article online
• 3. Surette MG, Miller MB, Bassler BL (1999) Quorum sensing in Escherichia coli, Salmonella typhimurium, and Vibrio harveyi: A new family of genes responsible for autoinducer production. Proc Natl Acad Sci U S A 96: 1639–1644.
• 4. Miller ST, Xavier KB, Campagna SR, Taga ME, Semmelhack MF, et al. (2004) Salmonella typhimurium recognizes a chemically distinct form of the bacterial quorum-sensing signal A1-2. Mol Cell 15: 677–687.
• 5. Crespi BJ (2001) The evolution of social behavior in microorganisms. Trends Ecol Evol 16: 178–183.
• 6. Kiers ET, Rousseau RA, West SA, Denison RF (2003) Host sanctions and the legume-rhizobium mutualism. Nature 425: 78–81. Find this article online
• 7. Visick KL, Foster J, Doino J, McFall-Ngai M, Ruby EG (2000) Vibrio fischeri lux genes play an important role in colonization and development of the host light organ. J Bacteriol 182: 4578–4586.
• 8. Keller L, Surette MG (2006) Communication in bacteria: An ecological and evolutionary perspective. Nat Rev Microbiol 4: 249–258. Find this article online
• 9. Durrett R, Levin SA (1994) The importance of being discrete (and spatial). Theor Popul Biol 46: 363–394.
• 10. Chao L, Levin BR (1981) Structured habitats and the evolution of anti-competitor toxins in bacteria. Proc Natl Acad Sci U S A 78: 6324–6328.
• 11. Sachs JL, Mueller UG, Wilcox TP, Bull JJ (2004) The evolution of cooperation. Quart Rev Biol 79: 135–160.
• 12. Lehmann L, Keller L (2006) The evolution of cooperation and altruism. A general framework and a classification of models. J Evol Biol In press.
• 13. West SA, Griffin AS, Gardner A, Diggle SP (2006) Social evolution theory for microorganisms. Nat Rev Microbiol 4: 597–607.

Series Editor: Simon. Levin, Princeton University, United States of America

Citation: Wingreen NS, Levin SA (2006) Cooperation among microorganisms. PLoS Biol 4(9): e299. DOI: 10.1371/journal.pbio.0040299 Published: September 12, 2006 Copyright: © 2006 Wingreen and Levin. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Ned S. Wingreen is Professor in the Department of Molecular Biology, Princeton University, Princeton, New Jersey, United States. Simon A. Levin is Professor in the Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States. SAL is to whom correspondence should be addressed. E-mail: slevin--AT--princeton.edu

Quorum sensing

Cooperation between cells of the same species triggered by a growing group of cells particular cell density is seen for large range of activities, and can enable small cells to influence the behavoiur of large organisms. It is usually achieved by secretion of autoinducer or alternatively pheromone molecules such as acyl homoserine lactone or small peptides and is called quorum sensing. Antibiotic formation, bioluminescence, ability to mate or exchange DNA, and virulence factor secretion by pathogenic microbes are all example of cooperatively expressed microbial adaptations that are achieved using quorum sensing signals.

Biofilms

A biofilm is a complex aggregation of microorganisms marked by the excretion of a protective and adhesive matrix. Biofilms are also often characterized by surface attachment, structural heterogeneity, genetic diversity, complex community interactions, and an extracellular matrix of polymeric substances.

Antagonism between microorganisms

Not all interaction between microbes are cooperative, and antibiotic production by soil organisms such as Streptomycetes provides a good illustration of this. But many other types of antagonistic compounds are secreted by microorganisms. Examples include immunosuppressive compounds like cyclosporin, and iron chelating siderophores whose function is to scavenge iron. The general term for these molecules is secondary metabolites.

Multicellular filamentous soil Streptomycete bacteria

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Streptomycete bacteria are numerous in most soils and use a complex multicellular filamentous form which is a complex adaptation to allow them to be very succesful in digesting soil polymers such as cellulose and chitin.

References

Further reading

• Crespi, B. J. The evolution of social behavior in microorganisms. Trends Ecol. Evol. 16, 178–183 (2001).

• Greenberg, E. P. Bacterial communication: tiny teamwork. Nature 424, 134 (2003).

Laurent Keller and Michael G. Surette (2006) Communication in bacteria: an ecological and evolutionary perspectiveNature Reviews Microbiology 4, 249-258 (April 2006) | doi:10.1038/nrmicro1383

• Henke, J. M. & Bassler, B. L. Bacterial social engagements. Trends Cell Biol. 14, 648–656 (2004).

• Keller, Laurent and Surette, Michael G. (2006) Communication in bacteria: an ecological and evolutionary perspective. Nature Reviews Microbiology 4, pages 249-258 (April 2006) doi:10.1038/nrmicro1383

• Kolenbrander, P. E. , Egland, P. G. , Diaz, P. I. & Palmer, R. J. Jr. Genome–genome interactions: bacterial communities in initial dental plaque. Trends Microbiol. 13, 11–15 (2005).

• Lyon, G. J. & Novick, R. P. Peptide signaling in Staphylococcus aureus and other Gram-positive bacteria. Peptides 25, 1389–1403 (2004).

• Parsek, M. R. & Greenberg, E. P. Sociomicrobiology: the connections between quorum sensing and biofilms. Trends Microbiol. 13, 27–33 (2005).

• Shapiro, James; and Dworkin, Martin (1997). Bacteria as Multicellular Organisms, 1st ed.. Oxford, Oxford and New York. ISBN 0-19-509159-0.