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9 Evolution of Cooperation and Control of Cheating in a Social Microbe JOAN E. STRASSMANN*† AND DAVID C. QUELLER* Much of what we know about the evolution of altruism comes from ani- mals. Here, we show that studying a microbe has yielded unique insights, par- ticularly in understanding how social cheaters are controlled. The social stage of Dictylostelium discoideum occurs when the amoebae run out of their bacterial prey and aggregate into a multicellular, motile slug. This slug forms a fruit- ing body in which about a fifth of cells die to form a stalk that supports the remaining cells as they form hardy dispersal-ready spores. Because this social stage forms from aggregation, it is analogous to a social group, or a chimeric multicellular organism, and is vulnerable to internal conflict. Advances in cell labeling, microscopy, single-gene knockouts, and genomics, as well as the results of decades of study of D. discoideum as a model for development, allow us to explore the genetic basis of social contests and control of cheaters in unprec- edented detail. Cheaters are limited from exploiting other clones by high relatedness, kin discrimination, pleiotropy, noble resistance, and lottery-like role assignment. The active nature of these limits is reflected in the elevated rates of change in social genes compared with nonsocial genes. Despite control of cheaters, some conflict is still expressed in chimeras, with slower movement of slugs, slightly decreased investment in stalk compared with spore cells, and differential contributions to stalk and spores. D. discoideum is rapidly becoming a model system of choice for molecular studies of social evolution. *Department of Biology, Washington University, One Brookings Dr., Campus Box 1137, St. Louis, MO 63130. †To whom correspondence should be addressed. E-mail: strassmann@ wustl.edu. 191
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192 / Joan E. Strassmann and David C. Queller N atural selection favors cooperation when genes underlying it increase in frequency compared with their noncooperative coun- terparts (Hamilton, 1964a; Frank, 1998; West et al., 2007b). Evo - lutionary studies of cooperative interactions have focused on the selec - tive advantages of cooperating, how cooperation is organized, whether cheating a cooperative system can occur, and how cheaters are controlled (Ratnieks, 1990; West et al., 2002c; Beekman and Ratnieks, 2003; Griffin et al., 2004; Sachs et al., 2004; Travisano and Velicer, 2004; Ratnieks et al., 2006; Wenseleers and Ratnieks, 2006b). These studies generally, but not always, focus on within-species interactions and have been behaviorally oriented. Social insects have been a major focus (Bourke and Franks, 1995; Robinson, 2002; Strassmann and Queller, 2007), with cooperative birds and mammals also getting considerable attention (Cockburn, 1998; Clutton-Brock et al., 2001; Cornwallis et al., 2010). The past few decades have seen phenomenal progress in understanding cooperation in these organisms by applying the powerful logic of kin selection (Queller, 1992a; Frank, 1998; West et al., 2007b). Our advances in understanding the evolution of social behavior through kin selection have been very satisfying, but they have been isolated in some respects. This is because most organisms have not been s een to be particularly cooperative. They may come together briefly for mating but otherwise go about the business of securing nutrients, avoiding disease and predation, and producing progeny largely on their own. COOPERATION IS WIDESPREAD Behavioral ecologists have begun to study a wider selection of organ - isms and are finding cooperative interactions to be much more perva- sive than previously appreciated. This is particularly true for microbes, wherein the structured environments necessary for cooperation have been discovered to be pervasive (Kerr et al., 2002; Griffin et al., 2004; Vos and Velicer, 2009). Microbes are particularly affected by the actions of their neighbors, because many functions that are internal in multicellular organisms are external in single-celled organisms. Secreted compounds involved in processes like iron sequestration or food digestion are vul- nerable to exploitation by neighboring individuals (Travisano and Velicer, 2004; Buckling et al., 2007; West et al., 2007a). Microorganisms evaluate their numbers with quorum sensing, kill nonclonemates with bacteriocins, hunt in groups, and cooperatively swarm through their environment, to name just a few examples of their social attributes (Crespi, 2001; Riley and Wertz, 2002; Diggle et al., 2007a; West et al., 2007a). Sociality in nontra - ditional study organisms is only beginning to be understood, however.
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Evolution of Cooperation and Control of Cheating in a Social Microbe / 193 COOPERATION, ORGANISMALITY, AND MAJOR TRANSITIONS IN EVOLUTION The second reason for expanded interest in cooperation is a growing a ppreciation that it is important for how organisms came to be. Coop- erative major transitions in life alter the raw material for natural selec - tion in fundamental ways (Buss, 1987; Maynard Smith and Szathmáry, 1995). One of the earliest transitions brought molecules together into cells in which the fates of all were intertwined in a cooperative network. Eukaryotes themselves represent a major transition resulting from the capture of a bacterium that becomes the mitochondrion (Margulis, 1970). The level of cooperation between these partners is profound but not complete. Mitochondria are maternally inherited and do not go through meiosis, and thus will favor daughter production and have no interest in son production. Another major transition resulted in multicellularity (Queller, 1997, 2000; Grosberg and Strathmann, 1998; Herron and Michod, 2008). Mul- ticellularity has evolved multiple times in both bacterial and eukaryote lineages. Animals and plants have elaborated multicellularity into a p lethora of diverse types. There are also a number of comparatively simple multicellular forms, like some single-species biofilms, the algal group Volvocales, or Dictyostelium (Herron and Michod, 2008; Strassmann and Queller, 2010). The transition to multicellularity is different from the transition to eukaryotes because the former involves an aggregate of like entities, whereas the latter binds different elements. The major transitions can thus be categorized as fraternal, with like cooperating with like, or egalitarian, where the cooperating units bring different things to the collaboration (Queller, 1997). Either kind of collaborative organism will usually retain conflicts, but these conflicts must be controlled if the partnership is to survive. How these controls operate is a major research topic under this view of life. The selective factors that favored a past transition are not easy to study because they have already completed their work. There are living systems that could be considered to be more representative of transi- tional stages, however. These, we believe, may be the most productive for investigation into the advantages of cooperation and how conflict is controlled. We have argued elsewhere that organisms themselves can be defined as adapted bundles of cooperative elements, wherein actual conflict is at a minimum (Queller and Strassmann, 2009; Strassmann and Queller, 2010). In a 2D space, with one axis being cooperation and the other being conflict, organisms are those collaborative living units at the high end of cooperation and the low end of conflict. There is variation in the level of organismality, however, and those lacking complete coop-
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194 / Joan E. Strassmann and David C. Queller eration and retaining conflict represent the best choices for studying the origins of cooperation. LABORATORY-FRIENDLY, SOCIAL MODEL ORGANISMS Kin selection has been very successful for generating predictions on t he impact of queen number, mate number, and caste on sociality in social insects (Bourke and Franks, 1995; Bourke, 2011). Nevertheless, one would have to say that social insects fall short as an ideal model for studies of social evolution. They are long-lived, often do poorly in the laboratory (except ants), are not amenable to genetic experimentation, and have mostly already crossed the threshold to obligate sociality. Thus, social evolution research has not found its Drosophila here. Another problem with the organisms currently favored for studies of cooperation is that the actual genes underlying cooperative behavior are elusive. This is particularly true for long-lived social insects and ver- tebrates, although the advances of genomics are slowly mitigating this (Robinson, 2002; Honeybee Genome Sequencing Consortium, 2006). Still, the twin powers of experimental evolution and single-gene knockouts are beyond the reach of most currently studied social organisms. A social evolution Drosophila would need to address these issues; thus, it would probably be single-celled. In addition to being amenable for experimental evolution and single-gene knockouts, it should have full altruism, with some individuals dying to help others. This makes it easier to interpret the actions of different partners. Other attributes of the ideal social Drosophila include feasibility of study in a fairly natural environment, placement in a rich phylogeny with related species that vary in social traits, a sequenced set of genomes, and a collegial com - munity of fellow investigators. Here, we make the case that the ideal m odel organism for social evolution has been found and is the social amoeba Dictyostelium discoideum. This choice is supported by the enor- mous progress in understanding social evolution that has been made w ith this organism in the past decade. In addition to D. discoideum, Vol- vox and its relatives are great for studying the origins of multicellularity in a clonal organism (Herron and Michod, 2008). M yxococcus xanthus o ffers all the advantages of a bacterial system (Velicer and Stredwick, 2002). There are also others, but we focus here on D. discoideum (Fig. 9.1).
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Evolution of Cooperation and Control of Cheating in a Social Microbe / 195 FIGURE 9.1 D. discoideum fruiting bodies on an agar plate. DICTYOSTELIUM DISCOIDEUM AS A MODEL SYSTEM FOR COOPERATION What Is a Social Amoeba? Social amoebae are in the eukaryote kingdom Amoebozoa, sister to the Opisthokonts, or animals plus fungi (Baldauf et al., 2000). This king - dom is composed of solitary amoebae-like Entamoeba and Acathamoeba, the acellular slime molds such as Physarum, and the Dictyostelidae. There are over 100 species of Dictyostelium, divided into four major taxonomic groups (Raper, 1984; Schaap et al., 2006). D. discoideum is in group four and is the focal species here. Individual amoebae of D. discoideum live in the upper layers of soil and leaf litter in the eastern Northern Hemisphere and in eastern Asia. The most intensely studied clone, NC4, and its derivatives such as Ax4, come from a temperate forest near Mount Mitchell in western North Carolina (Raper, 1984). D. discoideum amoebae are solitary predators on bacteria, which they consume by engulfment (Bonner, 1967). Although this is usually viewed as a solitary stage, they are always able to sense the density of nearby amoebae with a molecule called prestarvation f actor (Kessin, 2001). Response to this factor is inhibited when bacteria are present (Kessin, 2001). When bacteria get scarce, and amoeba density is sufficient, they enter one of two stages, a sexual one, discussed later, or a social one (Fig. 9.2). Social Cycle The social stage, often called the developmental stage, occurs when D. discoideum amoebae begin to starve (Fig. 9.2). Amoebae have a quorum-
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196 / Joan E. Strassmann and David C. Queller FIGURE 9.2 Colony cycles of D. discoideum. This study focuses on the social cycle, but the sexual cycle is a promising area for future study. sensing mechanism; if there are enough other amoebae in the area, they begin to release cAMP and to make receptors to it, products of the CAR genes (Kessin, 2001; Alvarez-Curto et al., 2005). A signal relay system causes the amoebae to move up the cAMP gradient and form a mound of hundreds of thousands of cells. Differentiation begins in the mound stage, wherein some cells sort out toward the tip and express prestalk g enes. The tip becomes the anterior of the slug and organizes forward movement. During movement, cells are lost from the slug posterior. At least some of these are capable of dedifferentiating and consuming any bacteria encountered (Kuzdzal-Fick et al., 2007). The slug itself will not fall apart on encountering bacteria. Some shed cells are former sentinel cells, full of toxins, and bacteria mopped up as they traverse through the slug (G. Chen et al., 2007). The multicellular slug moves toward heat and light and away from ammonia (Kessin, 2001; Bonner, 2006). The cells at the tip then migrate down through the center of the aggregate and initiate stalk formation in a process called culmination. The stalk cells vacuolate and die, forming sturdy cellulose walls in the process that give them the strength to hold up the spherical ball of spores. The final fruiting body consists of about 20% stalk cells and 80% spore cells. Thus, the social stage is triggered by
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Evolution of Cooperation and Control of Cheating in a Social Microbe / 197 starvation and involves altruism, because the stalk cells die to support the spore cells (Kessin, 2001). D. discoideum arrives at multicellularity not through development from a single cell but through aggregation of dispersed cells. Therefore, the social stage of D. discoideum is vulnerable to cheaters. This makes it fundamentally different from a metazoan that has gone through a s ingle-cell bottleneck and had the interests of all cells in the organism reset to complete cooperation every generation (Maynard Smith, 1989b). This conflict, its control, and the resulting cooperation are what make D. discoideum such a great model for social evolution. Why Have a Social Stage? During the social process, three things happen, and we predict that all three are adaptive. First, spores are made. The adaptive value of a hardy spore is clear and has been demonstrated; it is not easily digested by predators and can withstand long periods of cold, heat, or drought (Raper, 1984). Second, the spores are only made atop a relatively long stalk composed of dead cells. These stalks can be anywhere from 1 to about 4 mm long, and their construction is the most vital part of the altruism story of D. discoideum. Why are spores made only atop stalks? It could be that cells are vulnerable during the transformation to spore, and doing so atop a stalk protects them from hazards in the soil. Another possibility is that dispersal is facilitated when the spores are lifted above the soil and that this is the main purpose of the stalk. In D. discoideum, spores are likely to be actively transported on small invertebrates, although the guts of vertebrates and stalks could increase the chance that they are contacted. The third advantage to grouping is slug movement; slugs move farther than amoebae, which could position them into a better place for dispersal. The complex orchestration of fruiting body formation could only have arisen through natural selection, but more work on the actual advantages is needed. In this review, we focus on the interactions of genetically different clones in this social process and not on the reasons why it is adaptive. Chimerism and Cheating the Social Contract Mixing of two or more genetically distinct clones is likely for social groups that form by aggregation. To see if this actually occurs, we col - lected tiny soil samples of 0.2 g at Mountain Lake Biological Station (Fortunato et al., 2003b). We reasoned that this was a reasonable scale over which social aggregation might occur. We found that our 0.2-g samples contained zero to five clones and that relatedness within the
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198 / Joan E. Strassmann and David C. Queller samples was about 0.52. These data support the view that chimerism is possible, at least in this population. Later, we were able to find and genotype individual wild-fruiting bodies collected from the very rich resource of deer dung and nearby soil. This approach gave much higher relatednesses, between 0.86 and 0.98 depending on the sample and technique (Gilbert et al., 2007). Thus, relatedness is clearly high enough for kin selection under reasonable values of costs and benefits, and chimerism is common enough for social competition to be favored evolutionarily. Nevertheless, for coop - eration to occur, there must be control of cheating. Here, we discuss what cheating is and then move on to evidence for it and its control in D. discoideum. Complications with Defining Cheating Cheating can only happen when one organism takes advantage of another; however, it is more than that. We would not say the lion cheated the gazelle out of its life with the lion’s pounce and suffocating bite. This is because there is no expectation that the lion would behave in any other way. So, for an exploitative behavior to be considered cheating, there must be some expectation of cooperation that is not met. Cheating, therefore, is a fundamentally social action that takes place in the context of ordinarily cooperative acts, which the cheater somehow violates. In D. discoideum, we talk of cheating in the context of cell allocation to the somatic, dead stalk and the living spores. The expected social contract is that the frequency of each clone among the spores will be the s ame as it was in the original mixture of aggregated cells. The same should be true in the stalk tissue. If this is not the case, we can say that the dominant clone cheated the minority clone by getting more than its fair share into spores, and cooperation can be put at risk when cheaters gain an advantage. In many kinds of interactions, the starting and ending frequency may be viewed as enough information to determine if one partner is cheating the other. The formation of a fruiting body from an initial population of spores is a process that could vary for reasons other than social competi - tion, however. Some clones may make longer or more robust stalks than others when they are entirely on their own. Some clones may migrate farther than others, losing cells in the process. Some clones may lose more cells from the slug than others even if they migrate the same distance. Variation is particularly expected in the highly variable environment of the soil. For example, a loose-grained soil may favor longer stalks f or a given number of cells than a tighter-grained soil if the adapted trait is to rise above the surface. Selection on these traits can occur inde -
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Evolution of Cooperation and Control of Cheating in a Social Microbe / 199 FIGURE 9.3 In the social stage, clones may take advantage of their partner in three different ways. They may allocate cells to spore and stalk in the same pro - portions as alone but allocate less to stalk than their partner, fixed cheating. They may modify their behavior in chi - mera to take advantage of their part - ner, facultative cheating. Third, a social parasite can only make fruiting bodies in chimera with a victim. pendently of cheating but then have consequences in chimeras. If one clone in isolation allocates more to spore and continues to do so in the chimera with another clone that allocates less to spore, the first clone may then be viewed as a cheater, although it has behaved no differently in the chimera. We will argue that even this case should be called cheating, because one clone does take advantage of the other. It might even have evolved for that purpose: Selection in chimeras could have favored variants that do suboptimal things on their own. We call this type of cheating “fixed,” following Buttery et al. (2009). Cheating that results from behavior differ- ent from what they would do when clonal, in recognition that there is a partner to cheat, we then call “facultative” (Fig. 9.3). If the only informa - tion we have is how they behave in a chimera compared with starting frequencies, we cannot distinguish between these two and just call it “cheating.” It is probably worth pointing out that we are not implying any sort of conscious awareness to cheating in D. discoideum. In humans, cheating is value-based and assumes a certain awareness of the moral grounds of an act. This, of course, is impossible in an organism lacking a nervous system. EVIDENCE FOR CHEATING IN D. DISCOIDEUM Do Wild Clones Cheat? When wild clones are mixed together, one clone often prevails over the other (Strassmann et al., 2000). Furthermore, there is a transitive
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200 / Joan E. Strassmann and David C. Queller hierarchy of cheaters (Fortunato et al., 2003a; Buttery et al., 2009). In all these cases, the clones are perfectly able to produce fruiting bodies with normal, although variable, spore/stalk ratios as pure clones. Buttery et al. (2009) found both fixed and facultative cheating among the clones. Other evidence for social conflict among wild clones in the social stage comes from comparing chimeras with pure clones in their ability to migrate as slugs and to form tall fruiting bodies (Fig. 9.4). Chimeric slugs move less far than clonal slugs when cell number is controlled (Foster et al., 2002). This may be the result of increased competition to stay out of the front control region that becomes the sterile stalk. The other effect i s that there are more spore cells in chimeric mixtures, presumably because there is less selective benefit to becoming a stalk to lift nonrela - tives (Buttery et al., 2009). Cheating by Single-Gene Knockouts Nearly all the research by cell, developmental, and molecular biolo- gists on D. discoideum has used a single clone, or descendants of that clone. This means that these studies could not reveal cheating even if it were common. The exception is that they could reveal circum - stances under which a clone with a single gene that was knocked out cheated its immediate ancestor. Kessin and colleagues (Ennis et al., 2000) did just such a study. They made a large random collection of clones that each had a single gene disrupted by restriction enzyme-mediated integration (REMI), a process that randomly inserts a known sequence containing both restriction cut sites, and an antibiotic resistance gene (Kuspa and Loomis, 1992). Kessin and colleagues (Ennis et al., 2000) put a pool of REMI knockouts through 20 generations of selection in a well- mixed (low-relatedness) environment. At each round, they harvested the spores and began the next round from them; thus, any clone that FIGURE 9.4 Conflict is manifested in c himeras in the form of shorter stalk lengths, shorter migration distances, and unequal spore/stalk ratios.
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Evolution of Cooperation and Control of Cheating in a Social Microbe / 201 cheated the others increased in frequency over these rounds. They then characterized one mutant, fbxA. The fbxA knockout cheats its ancestor but cannot make spores on its own. Pools of REMI mutants can also be screened to obtain cheat- ers that are able to make normal fruiting bodies on their own but cheat their ancestor in a chimera. A large study of this type used pools of REMI mutants and required that every mutant be able to fruit on its own (Santorelli et al., 2008). This approach identified over 100 different k nockout mutants that cheated their ancestor. If knockout cheaters are so easy to generate and cheating is advantageous, one has to ask why these genes have not lost function in the wild. We discuss the answer to this question below in the section on the control of cheating. CONTROL OF CHEATING When wild clones come together in the social stage, cheating occurs between pairs of co-occurring wild clones. This could be the result of genetic or environmental factors. The work on single-gene knockouts suggests that at least some of the differences are genetic. Why are genes underlying victim status not eliminated from the population? We think t he answer lies in the ways cheating is controlled. It can be controlled by high relatedness within social groups, which could result from kin discrimination. It can be controlled by positive pleiotropy, wherein a cooperation gene also has another essential function. Cheating can also be controlled if spore vs. stalk fate is the result of environmental rather than genetic factors. For example, spore fate could be the result of posi - tion in the mitotic cell cycle or it could be dependent on who starved first. Here, we take up these issues (Fig. 9.5). Control of Cheating by High Relatedness Cheaters can be controlled if relatedness within social groups is high enough. This is because the benefits of the sacrifice that stalk cells make will mostly go to relatives, and thus could be favored under kin selec - tion. The importance of high relatedness can be seen in an experiment that used the knockout cheater fbxA (Gilbert et al., 2007). In this study, we showed that at low relatedness, the fbxA cheater knockout wins within groups at all mixture frequencies. This means that it should increase in frequency in the population. There is a tradeoff, however. The higher the frequency of the cheater in a group, the lower the spore production becomes, hurting the fbxA knockout and WT alike within that group. This means that the cheater knockout can only flourish at low related -
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202 / Joan E. Strassmann and David C. Queller FIGURE 9.5 Cheating can be controlled in the social stage if fruiting bodies are clonal, as might happen if they arise from different patches. They may mix but then sort into nearly clonal fruit - ing bodies through kin discrimination. Pleiotropic effects may prevent cheat- ing genes from spreading. Caste fate may be determined through a lottery, with cells in the M or S stage of the cell cycle becoming stalk and those in the G2 stage becoming spore. D. discoideum ap- parently has no G1 stage, although this is controversial. ness because at high relatedness, it is selected against by its own com - promised spore production. We expect social parasites like this one to fail in nature because of the high relatedness within fruiting bodies found in the wild. If this is true, we should not find any clones within wild fruiting bodies that are unable to form fruiting bodies on their own. We tested this by plating cells from wild fruiting bodies clonally. Of 3,316 clonal isolates from 95 wild fruit - ing bodies, all were able to make completely normal fruiting bodies on their own. There was not a single social parasite like fbxA. Clearly, high relatedness within fruiting bodies is a powerful evolutionary deterrent to cheating. This does not mean cheater mutants that are competent on their own are equally controlled, however (Santorelli et al., 2008). Control of Cheating by Kin Discrimination One way of achieving high relatedness is to exclude nonkin from the group. This behavior could explain the difference in relatedness between small soil samples and fruiting bodies. Different clones might aggregate together to cAMP and then sort into genetically homogeneous slugs. Even different species coaggregate to cAMP and then separate (Jack et al., 2008); thus, it is not unreasonable to postulate a similar process within species. Studies of chimerism between two clones of D. discoideum have gener- ally found fairly homogeneous mixing, however (Strassmann et al., 2000; Fortunato et al., 2003a; Buttery et al., 2009). A couple of studies found
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Evolution of Cooperation and Control of Cheating in a Social Microbe / 203 some evidence for sorting, particularly between clones collected far apart (Ostrowski et al., 2008) or, in another study, particularly between c lones found close together (Flowers et al., 2010). Neither approached the levels of sorting found in another species, Dictylostelium purpureum (Mehdiabadi et al., 2006). At this point, we have a puzzle. Tiny soil samples have multiple clones of D. discoideum, but fruiting bodies are nearly clonal. Kin discrimination is weak as far as we can tell in laboratory mixtures of equal numbers of cells from two clones. The finding of an apparently selected molecular mechanism for sorting deepens the puzzle. Our supposition that sort - ing will occur in the aggregation stage or later means that cells are likely to discriminate when they are in direct contact with each other. This suggests that adhesion genes are likely candidates for recognition. To function as recognition genes, adhesion genes would have to be highly variable. The variability would provide an opportunity for discrimina - tion that favors others carrying the same adhesion protein variant over others carrying different forms of the molecule. They should recognize self, with a homophilic binding site, or they should recognize a highly variable receptor. There is excellent evidence that two cell adhesion genes, initially called lagC and lagB but now called tgrC and tgrB, are the kin discrimina- tion genes in D. discoideum (Benabentos et al., 2009). These two genes are extremely variable and are part of a large gene family of generally much less variable genes. The protein produced by tgrC is hypothesized to adhere to the protein produced by tgrB. If one is knocked out, it causes development to fail at the aggregation stage. In that case, the amoebae aggregate begins to make a mound but then falls apart, as if a crucial component of recognition necessary for the subsequent altruistic steps were missing. The temporal coexpression, knockout behavior, high variability, and impact on sorting make these likely kin recogni - tion genes. More work is clearly needed on this system to see if there are consequences of recognition other than sorting. It could be that it is advantageous to remain in the group but that the chimeric nature is recognized and responded to, causing reduced migration distances and shorter stalks, for example. Control of Cheating by Pleiotropy Pleiotropy means that a single gene has an impact on multiple phe- notypic traits. It is therefore usually viewed as something that impedes selection on a specific trait, because any changes in the underlying genes will affect other traits as well. This conservative force in pleiotropic genes can have interesting consequences for social genes. If an altruistic trait
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204 / Joan E. Strassmann and David C. Queller is piggy-backed on an essential gene, a mutation that causes selfish behavior is unlikely to proliferate, because the essential function would also be lost. Exactly how important this might be in social traits is unknown, because we know the genetic underpinnings for comparatively few traits. There are a couple of genes having an impact on altruism in D. discoideum that could be maintained through pleiotropy, however. They are from very different parts of the genetic landscape underlying altruism in D. discoideum. One is a cell adhesion gene, and the other is involved in the differentiation-inducing factor (DIF-1) signaling system. Cell adhesion is an essential part of the social process because it is how the multicellular group stays together (Kessin, 2001). Variation in adhesion can have an impact on cell fate, because the cells at the front of the slug become stalk and the cells in the back three-quarters or so become spore (Bracco et al., 2000). One way of increasing the likelihood of becoming spore could therefore be to have reduced adhesion to the other cells and to slip back in the slug (Ponte et al., 1998; Queller et al., 2003). The knockout of the cell adhesion gene csaA has just this effect. When csaA is knocked out, adhesion is reduced. On agar, this has the impact of increasing the knockout’s frequency in the spores, presumably because reduced adhesion allows it to slip out of the stalk-forming tip (Ponte et al., 1998; Queller et al., 2003). On the more natural substrate of soil, how - ever, csaA knockouts apparently do not hold together enough to get into aggregations. It is therefore no surprise that the csaA gene continues to be expressed normally and that cheater knockouts have not prospered. Another gene that could be a cheater were it not for pleiotropic effects is dimA (Foster et al., 2004). This gene was isolated in a screen of REMI mutants that are unresponsive to DIF-1, a small molecule that forces some cells to become stalk (more on this later). In chimeras with WT, dimA knockouts predominate in the prespore zone, presumably because they are insensitive to DIF (Thompson et al., 2004). Ultimately, however, they are in a minority in the actual spores. This could be true if they trans - differentiate from prespore cells to prestalk cells later in development, and this was shown to be the case (Foster et al., 2004). We interpreted t his to be the result of another unknown function of dimA, an essential function that made the knockouts worse spore cells. This is another case in which pleiotropy inhibits the spread of a cheater. Control of Cheating by Lottery When two or more individuals take unequal roles in a social interac- tion, with one being the recipient and the other being the beneficiary, conflict can result. One way of controlling this conflict is if the partners
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Evolution of Cooperation and Control of Cheating in a Social Microbe / 205 do not know which role they will assume on entering the interaction. A human equivalent is called the veil of ignorance (Rawls, 1971), and it calls for resource allocation between partners by someone who does not know which lot he or she will get. A familiar example is the common family situation of dividing up a cake. If the child cutting the pieces does not get to decide which piece he or she gets, under the veil of ignorance model, he or she will be more likely to make the pieces equally sized. Cheating could be controlled in D. discoideum if there were a lottery to become spore based on the cell cycle. The D. discoideum cell cycle has a very short G1 phase; thus, imme- diately after the mitosis (M) phase, cells enter the synthesis (S) phase and cytokinesis occurs during the S phase (Weijer et al., 1984). Therefore, in a population, the cells in S and early growth after synthesis (G2) phases tend to be the smallest cells with the fewest nutrient reserves. An experiment on a thin layer of cells not touching other cells, followed with videog - raphy, indicated that stalk cells were most likely to arise from cells that happened to be in the S or early G2 phase of the cell cycle at the time of starvation, whereas cells that happened to be in the late G2 phase became prespore (Gomer and Firtel, 1987). A variety of other experiments have also shown this (Araki et al., 1994; Azhar et al., 2001). If weaker cells are more likely to become stalk, this makes sense, because recently divided cells would have fewer nutrients. This cell cycle lottery system fits the veil of ignorance model. As cells encounter less and less food, however, it could be that those dividing earlier than others are selected against because these cells will be in the stage that sends them to stalk. Another interesting result of this paper (Gomer and Firtel, 1987) sug - gests that delaying cell division may not be necessary for a cell to avoid becoming a stalk cell. This result was derived from careful observation of the fate of sister cells through videography. Every time a cell divided, one sister cell became prestalk or prespore according to the above musi - cal chairs lottery mechanism, whereas the sister cell became a null cell, a third cell type that stained with neither prespore nor prestalk markers (Gomer and Firtel, 1987). The fate of these null cells is unclear. These null cells could become pstO, because that region of the slug also did not stain with prespore or prestalk markers. This region can be viewed as the most flexible area, with cells in that region remaining pstO on exposure to DIF, and perhaps becoming prespore otherwise. These interesting results remain controversial, however, and should be followed up on carefully (Shaulskyand Loomis, 1993; Jang and Gomer, 2011). If a recently divided cell becomes stalk because it is smaller and weaker, cell division could be disfavored as starvation approached for this social reason. Under normal circumstances, however, amoebae will be selected to eat and proliferate as rapidly as possible. These two
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206 / Joan E. Strassmann and David C. Queller counterforces might achieve a compromise that could support altruism under a wide variety of conditions in D. discoideum, if one of two recently divided cells becomes stalk and the other becomes spore. This scenario i s consistent with the data. CONTROL OF CONFLICT BY POWER We began the section on control of cheating with a discussion of social contracts and defined cheating as the violation of those contracts. In this case, we mean evolved contracts that favor the evolution of coop - eration. One form of contract may be that the stronger individuals take the best roles. Here, we explore the evidence for this idea in D. discoideum. First-Strike Power One of the most common determinants of whether an individual in a social interaction becomes the altruist or the beneficiary is that individual’s relative strength, or ability to prevail in a contest. Such contests under social and cooperative circumstances may look very similar to contests between nonsocial organisms for scarce resources such as good territo - ries. The difference is that if the contest is between relatives, or mutually dependent individuals, after the contest is decided, the loser may acqui - esce and go to work for the winner. Such contests can be valuable for all concerned, particularly if weaker individuals that lose contests are more effective in taking on the helping role than they would be with the winning, reproductive role. How do we evaluate power in D. discoideum interactions? In some ways, all predictors of fate also involve power. The lottery system has a power element, because cells that recently divided may be weaker and go to stalk. If becoming a spore cell is competitive, the first amoebae to depart from growth and binary fission and enter the social stage may get a head start on preparing their weapons. Under this hypothesis, the first to starve would become spore. That this is the case has been very nicely demonstrated in both an experiment that manipulates timing o f starvation in genetically identical cells and an experiment that uses an aggregation-initiation knockout. In the first experiment, cells were put into nutrient-free medium 4 hours apart. Those with the 4-hour head start in the social stage preferentially became spores (Kuzdzal-Fick et al., 2010). The other experiment used a knockout that was incapable of initiating aggregation but was capable of responding to the initial signal from others and relaying it (Huang et al., 1997). In this case, the single cell initiating aggregation became a spore.
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Evolution of Cooperation and Control of Cheating in a Social Microbe / 207 Glucose Feeding, Condition, and Power Power based on condition has also been studied directly by making chimeras of cells that were well fed with cells that were poorly fed. This was done by varying the amount of glucose in the medium of axenically grown cells. The cells fed with glucose were more likely to become spore than the glucose-starved cells (Leach et al., 1973). This effect holds with other metabolizable sugars and is absent with other sugars (Takeuchi et al., 1986). This is strong support for the hypothesis, but there could be something special about sugars; thus, we repeated this experiment with a g lucose treatment and added another treatment to separate cells. In this treatment, we stressed the cells by growing them in a more acid pH t han usual (Castillo et al., 2011). We affirmed the weakening effects of both treatments by documenting that they increased doubling times in the solitary stage. As expected, both acid-stressed and glucose-starved cells ended up preferentially in the stalk. Both treatments also made fewer spores when grown alone, however; thus, the chimera results are not attributable to competition alone (Castillo et al., 2011). DIF-1 and Power One of the delights in working with a microbial system is the acces - sibility of mechanisms. Whether a cell becomes spore or stalk is medi - ated by DIF-1, a small, secreted, chlorinated alkyl phenone (Kay, 1998). Stronger cells that are immune to its effects at biological levels produce DIF-1. Weaker cells can break it down but become stalk cells from its impact, mostly ending up in the lower cup or the basal disk, both of which are dead parts of the stalk (Thompson and Kay, 2000a,b). DIF-1 is unlikely simply to be a signal rather than a mediator of competition for several reasons. Signals are unlikely to include chlorine, something that is common for poisons. Levels of DIF-1 in the slug are about 62 nm (Kay, 1998), which is high, given that it can be lethal at concentrations as low as 200 nm (Masento et al., 1988). Signals have receptors and poisons do not, and no receptor has ever been found for DIF-1. Its small, toxic nature is just what might be expected of a poison (Atzmony et al., 1997). Unlike most morphogens, it is distributed evenly through the social stage and varies on its cell-specific impact (Kay and Thompson, 2009; Chattwood and Thompson, 2011; Parkinson et al., 2011). In some respects, it is a tame poison, incorporated into social life to mediate condition in a homogeneous mixture into different cell fates. The condition variants resulting from position in the cell cycle or glu- cose feeding are tied to DIF-1 levels with weaker, more recently divided cells more vulnerable to DIF-1. There are single-gene knockouts with an
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208 / Joan E. Strassmann and David C. Queller impact on cell cycle and nutritional responses that further support the involvement of DIF-1, in a story nicely summarized by Chattwood and Thompson (2011). Cells that have rtoA knocked out lose the specificity toward stalk of the M and/or S cell cycle phase, producing fruiting bod- ies that are mostly stalk with tiny spore heads (Wood et al., 1996). This has been shown to be the result of high intracellular calcium, which has independently been shown to bias cell fate toward stalk (Baskar et al., 2000; Azhar et al., 2001; Chattwood and Thompson, 2011). Cells with high intracellular calcium are far more sensitive to DIF-1 (Schaap et al., 1996; Baskar et al., 2000). A similar story can be told with a gene that links nutritional status to cell fate, a D. discoideum homolog of the human retinoblastoma gene, rblA (MacWilliams et al., 2006; Chattwood and Thompson, 2011). Knockouts of rblA are hypersensitive to DIF-1 and preferentially become stalk. Other work by Thompson and colleagues (Parkinson et al., 2011) has shown that the patterns linking DIF-1, or more generally stalk-inducing factors (StIFs), are also important in spore-stalk hierarchies of natural clones. These hierarchies are based on whether clones become spore or stalk when mixed pairwise with other clones (Fortunato et al., 2003a; Buttery et al., 2009). They separately evaluated response to and produc - tion of StIFs and found a threefold difference in production and a 15-fold difference in response; the latter was most powerful in explaining the hierarchy observed in natural clones (Parkinson et al., 2011). Thus, we know a satisfying amount about how power affects cell fate through DIF-1. There is more to learn, however, particularly because cheating can result from knocking out so many different genes (Santorelli et al., 2008). This led to another general approach to identifying resistance genes. Genetic Control of Cheating by Noble Resistors The evolution of resistance to cheater genes may limit their spread. To test this idea, we selected for resistors of cheater genes. We took one cheater, chtC, and exposed a pool of REMI mutants to it over successive rounds (Khare et al., 2009). We allowed selection of the REMI pool but not of the chtC knockout. We did this by removing the G418 resistance from the chtC clone so that we could kill it at each round, leaving the mutants we were selecting intact. We then simply added back in the naive chtC clone for the next round. This process resulted in a number of mutants that were resistant to chtC knockouts and could not be cheated by it. Interestingly, they were not cheaters of their ancestor; thus, we called them noble resistors (Khare et al., 2009).
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Evolution of Cooperation and Control of Cheating in a Social Microbe / 209 SOCIAL GENES, ARMS RACES, AND THE RED QUEEN Cheating and countering cheating are social processes that we predict will result in rapid evolution in the underlying genes. Our test of this hypothesis used the newly sequenced species D. purpureum and compared it with D. discoideum (Sucgang et al., 2011). Unfortunately, this is not an ideal pair of species because their proteins are as diverged as t hose of humans and fish. This means that silent amino acid changes (ds) are saturated, and thus are not useful in comparisons. Instead, we compared homologs; rates of amino acid change; and conservation scores, a measure of similarity that includes indels. We used two sets of social genes for comparisons. The first set was the 100 or so REMI mutants that cheated their ancestors when mixed equally with them (Santorelli et al., 2008). These genes did not show more rapid evolution, and thus failed to support our hypothesis that social genes evolve more rapidly. The second set of genes we used was based on a social index, which was higher when a gene was more expressed in the social stage compared with the nonsocial stage. In this analysis, the more social genes had a lower probability of having homologs, an elevated rate of amino acid change, and a lower conservation score, supporting our hypothesis (Sucgang et al., 2011). The result could also be attributable to weaker purifying selection on social genes, however, and a better analysis would be between more closely related species. OTHER ARENAS FOR COOPERATION: MUTUALISMS AND SEX No review of social behavior of D. discoideum would be complete with- out mentioning two very exciting areas for future study. The sexual cycle is also a social cycle but has been studied very little. The other area is the discovery of a farming mutualism between D. discoideum and bacteria. This opens up the opportunity for studies of between-species symbioses. Sexual Cycle Has Social Elements That Involve the Ultimate Sacrifice The sexual cycle is triggered by starvation in the presence of sufficient numbers of other amoebae under wet, phosphate-poor conditions and begins with aggregation to cAMP (Bonner, 1967; Kessin, 2001). Two cells of different mating types fuse, forming a diploid zygote. The amoeba stage is ordinarily haploid and divides by mitosis; thus, no reduction division is necessary before sexual fusion. Aggregation does not cease with the formation of a diploid zygote (Urushihara, 1992; Ishida et al., 2005). Other amoebae continue to swarm in by the thousands, up the cAMP gradient. The zygote proceeds to consume the other cells by
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210 / Joan E. Strassmann and David C. Queller phagocytosis. The pace of consumption is slowed to a level that allows the waiting victim amoebae to construct an envelope around the aggrega - tion, and this slowing is also regulated by cAMP. After a time, there is a firm wall around the zygote and its victims, and the latter are consumed and digested. Recombination and crossing over then happen, the zygote undergoes meiosis, and many recombinants are formed. In a major recent advance, the sex-determining locus was identified and the presence of three mating types was confirmed, clearly establish - ing the genetic basis of sex (Bloomfield et al., 2010). The sexual cycle is somewhat of an enigma because it rarely leads to recombinant progeny under laboratory conditions (Kessin, 2001), but estimates of recombina - tion rates of natural clones indicate they are very high, with a population r of 37.75 and baseline linkage disequilibrium achieved between 10 and 25 kb (Flowers et al., 2010). Getting the system to work in the laboratory would open up many interesting social questions to investigation. For example, we could select for social traits in sexually recombined pools and look for quantitative trait loci associated with social traits. D. discoideum Farms Bacteria There is another reason why D. discoideum is particularly good for studies of cooperation: mutualism. The standard view of the social stage of development is that all bacteria are purged from the aggregate (Kessin, 2001). There are known mechanisms for this that function at different stages, from mound, to slug, to final fruiting body. The sorus is consid - ered to be sterile apart from the D. discoideum spores. Very recently, we d iscovered that this is not the case for about one-third of all clones (Brock et al., 2011). These clones carry bacteria with them through the social stage like a farmer might bring a flock of sheep to a different pas - ture. These bacteria are found within the fruiting body. When the spores hatch after favorable growing conditions have been encountered, they can feed on the proliferating population of the bacteria they brought. These farmed bacteria are better food than most wild bacteria. This farm - ing mutualism is highly amenable for study, because all partners are microbial, advantages are clear, and the relationship is not obligate, at least at the species level. This discovery adds between-species coopera - tion to the things that can be studied about D. discoideum. CONCLUSION The ultimate advantage to an ideal model organism is what you can learn from it. In D. discoideum, we have shown that conflict exists in the form of shorter stalk lengths, reduced migration distances, and cheat -
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Evolution of Cooperation and Control of Cheating in a Social Microbe / 211 ing to avoid the sterile caste. We have delineated cheating into fixed, facultative, and social parasite forms. We have shown that cheating can be controlled by high relatedness, kin discrimination, pleiotropy, or lot - teries. We have shown that conflict can be controlled by conventions and power. The first cells to starve become spore, as do stronger cells. A small, toxic molecule called DIF-1 mediates social interactions. We and others have backed up much of this work with specific genes and knockouts. Further whole-genome outcomes are on the horizon, as is a much more detailed understanding of kin discrimination. Frontiers include the farming symbiosis and exploration of the sexual cycle. Clearly, this is a system that has yielded many important secrets about the cooperative side of major transitions. ACKNOWLEDGMENTS We thank John Avise and Francisco Ayala for inviting us to help organize the Arthur M. Sackler Colloquium on Cooperation. We thank many colleagues for helpful discussions of these points, especially Sandie Baldauf, Koos Boomsma, Kevin Foster, Richard Gomer, Ashleigh Griffin, Rob Kay, Richard Kessin, Adam Kuspa, Gene Robinson, Gadi Shaulsky, Chris Thompson, Greg Velicer, and Stuart West as well as our own laboratory group. Our research is supported by the U.S. National Science Foundation under Grants DEB 0816690 and DEB 0918931.
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