Learning to get along despite struggling to get by
© BioMed Central Ltd 2009
Published: 26 May 2009
How cooperation can evolve by natural selection is important for understanding the evolutionary transition from unicellular to multicellular life. Here we review the evolutionary theories for cooperation, with emphasis on the mechanisms that can favor cooperation and reduce conflict in multicellular organisms.
Altruism occurs when individuals behave in ways that reduce their own survival or reproduction and provide a fitness benefit to others. While it is often studied in the context of societies or animal behavior, some of the most powerful examples in the biological world are found inside a multicellular organism. From apoptosis-induced suicide to the presentation of foreign antigens by cells that target them for death, it is clear that the cells of a multicellular organism cooperate and behave altruistically. Less obvious, however, is how acts of selflessness can evolve by natural selection if they reduce the fitness of the individuals which perform them, and how they persist despite the immediate benefits of behaving more selfishly.
Here we review mechanisms that reduce conflicts and promote cooperation in taxonomically diverse organisms. We highlight why selfish behaviors sometimes arise and persist, and we argue that minimizing the opportunities for selfish behaviors may have played a vital role in many aspects of multicellular biology, both within the lifespan of the individual and across generations. We discuss these mechanisms from different viewpoints - from basic life-history features, such as unicellular bottlenecks during development, to the genetic and molecular bases of altruistic behaviors and how they might function to stabilize cooperation among different cells.
Relatedness and the unicellular bottleneck
Kin selection theory and the evolution of altruism
Kin selection was formulated by Hamilton to explain the evolutionary logic underlying altruism: why individuals behave in ways that reduce their personal fitness and provide a fitness advantage to others [12, 13]. Kin selection theory demonstrates that organisms can evolve to perform costly actions if they benefit their relatives, who carry (and thus pass on) their genes. Although we usually think of kin selection in terms of individuals behaving altruistically towards their blood relatives, it is more straightforward to explain the theory from the perspective of the gene that confers the costly behavior. Such a gene can increase in frequency only if the costly behavior it causes in some is more than offset by the fitness benefit it confers in others. Several corollaries of kin selection theory follow more naturally from this gene-centered explanation. First, individuals would ideally direct the benefits of their costly behavior to other individuals who carry the same gene - thus, the ability to discriminate kin from non-kin, called kin discrimination, is thought to be important for the evolution of such a costly trait. Second, 'relatives' are really those who carry the same gene. They do not necessarily have to be genetically similar throughout the entire genome, although altruism that runs counter to relatedness across the genome could provoke a coevolutionary response to suppress its effects [67, 68]. In practice, knowing to whom you are related via shared ancestry may be an easy way of approximating true (gene-specific) relatedness: high average relatedness across the genome owing to a recent common ancestor also means a high probability of relatedness at any given locus, including the one responsible for the altruism. Finally, with respect to a costly ('altruism') gene becoming established in a population by natural selection, relatedness is relative to the scale at which competition between alleles occurs. Strictly speaking, the cells of the body do not behave altruistically towards one another because they are genetically similar, but because they are on average more genetically similar to one another than they are to cells from other individuals. By the same token, if competition occurs primarily among the cells within the individual rather than between individuals, then selection may no longer favor acts of altruism and instead promote the evolution of more selfish behaviors.
In addition to increasing relatedness between cells, the unicellular bottleneck can also help to purge selfish variants from the population if they entail a fitness cost in the absence of their victims [3, 10, 11]. For example, selection might favor genetic variants that are predisposed to adopt the germline fate, but a unicellular bottleneck would prevent them from attaining prevalence if they failed to form an adequate soma in the absence of compensation by other cells. Development from a single cell may have additional advantages in reducing the threat of selfish behavior. In higher metazoans, germline cells are sequestered early in development, reducing the number of divisions that they undergo before transmission and limiting the opportunities for selfish mutations to arise and propagate. Plants do not sequester a germline during embryonic development, although it has been argued that the immobility of plant cells reduces the need for such protections . In rare cases, when somatic cells have circumvented the germline route to transmission, the outcome can be devastating. Canine transmissible venereal tumor (CTVT) is a cancer that is infectiously transmitted between dogs . The tumor cells are transferred through direct contact, primarily during copulation, but also through other forms of contact, such as biting and grooming. Phylogenetic analyses indicate a single origin of the cell lineage, somewhere between 200 and 2,500 years ago, making it the oldest known continuously propagated somatic cell line . Contagious tumors have also been reported in hamsters and the Tasmanian devil - in the latter, the spread of the disease is threatening the survival of the species [15–17].
Conflict can emerge in the gametes
Although the diploid cells of metazoans are genetically identical to one another (somatic mutations not withstanding), intercellular genetic heterogeneity occurs in the gametes as a result of meiosis. The resulting variability in the extent to which different gametes contain or transmit different alleles provides the traction for selection to take hold, favoring those genes that maximize their transmission to the next generation. Not surprisingly, nearly all examples of selfish genetic elements in higher eukaryotes can be traced back to conflicts that originate during this stage of the life cycle, with some examples described below. The ensuing conflict is thought to explain some of the most fundamental aspects of organismal biology, from mechanisms of sex determination to sexual reproduction and speciation [18, 19].
Many selfish genes, however, may produce no obvious phenotypic effect or fitness cost, in which case, they may experience little opposition from the other genes in the genome, limiting the coevolutionary response to alternative alleles at the same locus and those linked to them. For this reason, 'epidemics' of selfish genetic elements are thought to occur frequently, but go unnoticed because they are either swept to fixation or rapidly suppressed . Once fixed, but not forgotten, they can later reveal themselves in the form of incompatibilities between populations. In Drosophila pseudoobscura, for example, male hybrid sterility occurs in crosses between two geographically distinct populations . Sterility is caused by a cryptic segregation distorter in one of the populations that is 'silenced' by an autosomal suppressor . Thus, whereas the two populations can produce phenotypically normal males by themselves, partial sterility arises when they are crossed because the suppressor is not fully dominant. The reduction in hybrid fitness is an important illustration of how the within-population dynamics of selfish genetic elements can generate incompatibilities that contribute to speciation .
The enemy of my enemy is my friend
Genetic variability does not always favor conflict over cooperation. Genetically distinct gametes sometimes display complex forms of cooperation, and possibly altruism [29–31]. In some rodents, sperm group together to form long trains, a form of cooperation that promotes efficient swimming towards the egg, but reduces the probability of fertilization for any given sperm . Some sperm undergo morphological changes that prevent them from fertilizing the egg, but their presence improves the success of other sperm, enhancing their survival in the presence of natural spermicides in the female reproductive tract [33–35]. The key to understanding whether selection will lead to cooperation or conflict requires knowing whether the gametes of an individual compete primarily against one another or against gametes of other individuals. Thus, in organisms where sperm from different males encounter one another in the female reproductive tract, there may be an advantage for sperm of a single male to join forces. In other words, cooperation may evolve more readily in the face of a common enemy. Such a notion exemplifies the kin selection concept of relatedness, in that it measures not just how genetically similar individuals are, but how similar they are relative to their competitors (see Box 1).
Sources of chimerism in multicellular organisms
Selfish behaviors are expected to emerge at even the slightest hint of intra-individual genetic heterogeneity, so it is curious that truly chimeric organisms exist. However, in some multicellular organisms, different individuals can fuse or exchange cells. Botryllus schlosseri, for example, is a marine tunicate that is closely related to vertebrates (reviewed in ). It spends its infancy as a motile larva and its adulthood as a brightly colored sessile colony. During the adult stage, neighboring colonies can fuse and the germ cells of one colony can take over the germline of another . Similarly, in ascomycete fungi, multicellular filaments called hyphae fuse to form a vast network of interconnected cells - the mycelium . Hyphal fusions occur between hyphae within a single colony, as well as between different colonies when they come into contact. The shared cytoplasm of the mycelium is cooperative, in that it allows resources to be transported to the growing tip, resulting in rapid outward growth. In other organisms, multicellularity results from aggregation of the constituent cells. In the amoeba Dictyostelium discoideum, for example, cells aggregate in groups of 100,000 when starved to form a multicellular organism. Nearly 20% of the cells in the initial aggregate eventually die to form a rigid stalk. The remaining amoebae crawl up the stalk and differentiate into viable spores. The death of the stalk cells is thought to provide a fitness benefit to the spores by lifting them out of the soil or increasing their chances of dispersal [39, 40].
Molecular mechanisms that maintain cooperation
To date, much of the social evolution literature has focused on identifying whether selection favors cooperation in any given circumstance, with far less attention paid to the genetic bases of such behaviors and how they might promote or restrict cooperation. The discovery of social behaviors at the cellular level in genetically tractable model organisms, however, has opened the door to probing the molecular basis of cooperative and altruistic behaviors . The description of gene-regulatory circuits has also given rise to the idea that they can exhibit basic design features, characteristic structures that reflect the requirements of the phenotypes they instill [45–47]. For example, positive feedback loops amplify small differences in initial states and can be important for the establishment and maintenance of divergent cell types . For example, in the Gram-positive bacterium Bacillus subtilis, a positive feedback loop is critical for the development of competence in a minority of the cell population at the onset of stationary phase . More generally, the structure of the gene-regulatory network has an impact not only on what phenotypes are observed but also their robustness, or lack thereof, to different types of perturbation. Is it possible that altruistic behaviors will also be found to have characteristic design features - attributes that ensure that they robustly generate the altruistic phenotype, while safeguarding against the most common opportunities to cheat?
Savageau's Demand Theory illustrates how such evolutionary safeguards can be achieved, in this case, through differences in gene regulation [50, 51]. The theory was formulated as an explanation of why bacteria often exhibit positive regulation for resources they commonly encounter and negative regulation for resources they rarely encounter. Positive regulation refers to transcription that is initiated in response to a stimulatory element, whereas negative regulation refers to transcription that is initiated by the removal of a repressing element. Both modes of regulation serve the same proximate function - they insure that expression of the relevant catabolic pathways occurs only when the resource is present. Savageau postulated that for resources in high demand, mutations causing loss of expression would be more strongly counter-selected than those causing constitutive expression. The opposite would be true for resources in low demand: mutations causing constitutive expression would be more strongly counter-selected than those causing loss of expression. Assuming that random mutations tend to disrupt a function, greater evolutionary stability could therefore be achieved if bacteria were to use positive regulation for common resources and negative regulation for rare resources, which corresponds well to what is observed .
The broader significance of Savageau's theory is that we might consider not just how regulatory circuits serve their immediate function, but also their evolutionary stability in the face of common genetic and environmental perturbations. In the case of the genes encoding altruistic traits, evolutionary stability might be achieved in part by safeguarding circuits against common ways to cheat. Indeed, evolutionarily distinct mechanisms of programmed cell death have the common feature of defaulting to altruistic rather than selfish outcomes when perturbed. For example, much of the apoptosis machinery is constitutively expressed by default and inhibited from taking effect until the withdrawal of extracellular signals occurs - the cells are thus constantly primed for death [52, 53]. Programmed cell death in bacteria and some simple eukaryotes also seems to default to being 'on'. For example, many bacteria carry toxin-antitoxin genes, called addiction molecules . Because the toxin is constitutively expressed, the bacteria face the constant threat of death: its deadly effects can only be counteracted through the simultaneous and constitutive expression of the linked antitoxin.
Toxin-antitoxins were originally found on plasmids, leading to the supposition that they function as selfish genetic elements that ensure plasmid maintenance. However, the discovery of toxin-antitoxin genes on the bacterial chromosome, regulated by stress-response genes, suggests that they could function in programmed cell death of bacteria in response to stress [55–57]. Others have argued that the buildup of the toxin can have a reversible bacteriostatic effect rather than a bacteriocidal effect - and thus, that these systems primarily improve an individual cell's survival during times of stress rather than cause its altruistic suicide [54, 58]. A similar explanation is applicable to the tumor suppressor gene p53, which has conflicting roles on the induction of autophagy (and subsequent cell death) depending on its location in the nucleus or cytoplasm . Similar to toxin-antitoxin systems in bacteria, some have questioned whether p53 would be better characterized as a cell-death or a cell-survival gene [59, 60].
If altruism genes provide a fitness advantage to the individual under some conditions, then it may be easier to understand their evolutionary maintenance in a different context - that is, why selfish mutants that lack these genes are not rampant in populations. Pleiotropy, which occurs when one gene affects multiple traits, could restrict the mutations that give rise to selfishness because they must also not disrupt the other functions of the gene [61–64]. Indeed, the possibility that pleiotropy will restrict the evolutionary paths to cheating has been suggested previously . Here we also suggest that the benefits of pleiotropy may be best accomplished by linking an individual-level (selfish) fitness advantage to a group-level (altruistic) fitness advantage of the same gene. If true, pleiotropy might also be important in maintaining altruistic traits that are only rarely expressed by providing protection from mutation accumulation .
Prospects: integrating evolutionary and genetic approaches to cooperation
One of the themes of social evolution theory is that competition is the driving force behind both cooperation and conflict. Perhaps one of the best illustrations of this principle comes from the reality TV series Survivor. Each season, individuals initially form two tribes that compete primarily against one another. Consistent with between-tribe competition, individuals within a tribe behave altruistically towards one another, sacrificing their personal success in competitions to promote the victory of a tribe member. Eventually, however, the tribes merge. In the absence of external competition, individuals within the tribe compete primarily against one another, and cooperation soon gives way to conflict. Similarly, predicting whether the cells of a multicellular organism are likely to cooperate requires identifying the relative importance of internal versus external sources of competition, as well as knowing how the biology of organisms suppresses competition and promotes the evolution of cooperative and selfless behaviors. As Maynard Smith and Szathmáry have emphasized, the major transitions in evolution required that conflicts at lower levels of biological organization be minimized so that the evolutionary potential of these higher-level units could be achieved [2, 10].
Finally, we wish to emphasize the molecular mechanisms of social behaviors, especially putatively altruistic behaviors such as programmed cell death. Regardless of the long-term benefits that cooperation and altruism entail, they will always be threatened by the immediate selective advantages afforded by cheating, even when these evolutionary changes are ultimately short-sighted. The strong potential for shortsighted evolution in genes encoding altruistic phenotypes means that selection should favor molecular mechanisms that are evolutionarily resistant to change and robust in the face of common selfish mutations. Recent development of model organisms for the study of altruistic behaviors in genetically tractable systems means that these behaviors can now be dissected by standard molecular techniques. For example, a recent screen in Dictyostelium discoideum identified genes that, when mutated, cause the mutant strain to preferentially form spores and avoid becoming stalk . Whole-genome sequencing will also allow the reconstruction of the evolutionary history of these traits. Through an integration of these approaches, we can begin develop a fuller understanding of how cooperation and altruism became codified in the biology of so many organisms.
We thank Tim Cooper, David Queller, and Joan Strassmann for helpful discussions and comments on this manuscript, and Michael Milgroom for his help in obtaining the photo of C. parasitica. EAO was supported in part by a postdoctoral fellowship from the Keck Center for Interdisciplinary Bioscience Training of the Gulf Coast Consortia (NLM grant no. 5T15LM07093).
- Ratnieks F, Foster K, Wenseleers T: Conflict resolution in insect societies. Annu Rev Entomol. 2006, 51: 581-608. 10.1146/annurev.ento.51.110104.151003.PubMedView ArticleGoogle Scholar
- Maynard Smith J, Szathmáry E: The Major Transitions in Evolution. 1995, Oxford-New York: W.H. Freeman SpektrumGoogle Scholar
- Buss LW: The Evolution of Individuality. 1987, Princeton, NJ: Princeton University PressGoogle Scholar
- Grosberg RK, Strathmann RR: The evolution of multicellularity: A minor major transition?. Annu Rev Ecol Evol Syst. 2007, 38: 621-654. 10.1146/annurev.ecolsys.36.102403.114735.View ArticleGoogle Scholar
- Queller DC: Relatedness and the fraternal major transitions. Philos Trans R Soc Lond B Biol Sci. 2000, 355: 1647-1655. 10.1098/rstb.2000.0727.PubMedPubMed CentralView ArticleGoogle Scholar
- Bourke AFG, Franks NR: Social Evolution in Ants. 1995, Princeton, NJ: Princeton University PressGoogle Scholar
- Ratnieks FLW, Wenseleers T: Altruism in insect societies and beyond: voluntary or enforced?. Trends Ecol Evol. 2008, 23: 45-52. 10.1016/j.tree.2007.09.013.PubMedView ArticleGoogle Scholar
- Wenseleers T, Ratnieks FLW: Enforced altruism in insect societies. Nature. 2006, 444: 50-50. 10.1038/444050a.PubMedView ArticleGoogle Scholar
- Ratnieks FL: Reproductive harmony via mutual policing by workers in eusocial Hymenoptera. Am Nat. 1988, 132: 217-236. 10.1086/284846.View ArticleGoogle Scholar
- Maynard Smith J: Evolutionary progress and levels of selection. Evolutionary Progress. Edited by: Nitecki MH. 1988, Chicago: University of Chicago Press, 219-230.Google Scholar
- Grosberg R, Strathmann R: One cell, two cell, red cell, blue cell: the persistence of a unicellular stage in multicellular life histories. Trends Ecol Evol. 1998, 13: 112-116. 10.1016/S0169-5347(97)01313-X.PubMedView ArticleGoogle Scholar
- Hamilton WD: Genetical evolution of social behaviour. I. J Theor Biol. 1964, 7: 1-16. 10.1016/0022-5193(64)90038-4.PubMedView ArticleGoogle Scholar
- Hamilton WD: Genetical evolution of social behavior. II. J Theor Biol. 1964, 7: 17-52. 10.1016/0022-5193(64)90039-6.PubMedView ArticleGoogle Scholar
- Murgia C, Pritchard J, Kim SY, Fassati A, Weiss RA: Clonal origin and evolution of a transmissible cancer. Cell. 2006, 126: 477-487. 10.1016/j.cell.2006.05.051.PubMedPubMed CentralView ArticleGoogle Scholar
- Siddle HV, Kreiss A, Eldridge MDB, Noonan E, Clarke CJ, Pyecroft S, Woods GM, Belov K: Transmission of a fatal clonal tumor by biting occurs due to depleted MHC diversity in a threatened carnivorous marsupial. Proc Natl Acad Sci USA. 2007, 104: 16221-16226. 10.1073/pnas.0704580104.PubMedPubMed CentralView ArticleGoogle Scholar
- Brindley DC, Banfield WG: Contagious tumor of hamster. J Natl Cancer Inst. 1961, 26: 949-957.Google Scholar
- Pearse A, Swift K: Allograft theory: Transmission of devil facial-tumour disease. Nature. 2006, 439: 549-549. 10.1038/439549a.PubMedView ArticleGoogle Scholar
- Hurst GDD, Werren JH: The role of selfish genetic elements in eukaryotic evolution. Nat Rev Genet. 2001, 2: 597-606. 10.1038/35084545.PubMedView ArticleGoogle Scholar
- Haig D, Grafen A: Genetic scrambling as a defense against meiotic drive. J Theor Biol. 1991, 153: 531-558. 10.1016/S0022-5193(05)80155-9.PubMedView ArticleGoogle Scholar
- Lyttle TW: Cheaters sometimes prosper - distortion of mendelian segregation by meiotic drive. Trends Genet. 1993, 9: 205-210. 10.1016/0168-9525(93)90120-7.PubMedView ArticleGoogle Scholar
- Burt A, Trivers R: Genes in Conflict: The Biology of Selfish Genetic Elements. 2006, Cambridge, MA: Belknap Press of Harvard University PressView ArticleGoogle Scholar
- Leigh EG: Adaptation and Diversity: Natural History and the Mathematics of Evolution. 1971, San Francisco: FreemanGoogle Scholar
- Leigh EG: How does selection reconcile individual advantage with the good of the group?. Proc Natl Acad Sci USA. 1977, 74: 4542-4546. 10.1073/pnas.74.10.4542.PubMedPubMed CentralView ArticleGoogle Scholar
- Charlesworth D, Laporte V: The male-sterility polymorphism of Silene vulgaris: analysis of genetic data from two populations and comparison with Thymus vulgaris. Genetics. 1998, 150: 1267-1282.PubMedPubMed CentralGoogle Scholar
- Frank SA: The evolutionary dynamics of cytoplasmic male sterility. Am Nat. 1989, 133: 345-376. 10.1086/284923.View ArticleGoogle Scholar
- Ingvarsson PK, Taylor DR: Genealogical evidence for epidemics of selfish genes. Proc Natl Acad Sci USA. 2002, 99: 11265-11269. 10.1073/pnas.172318099.PubMedPubMed CentralView ArticleGoogle Scholar
- Orr HA, Irving S: Segregation distortion in hybrids between the Bogota and USA subspecies of Drosophila pseudoobscura. Genetics. 2005, 169: 671-682. 10.1534/genetics.104.033274.PubMedPubMed CentralView ArticleGoogle Scholar
- Phadnis N, Orr HA: A single gene causes both male sterility and segregation distortion in Drosophila hybrids. Science. 2009, 323: 376-379. 10.1126/science.1163934.PubMedPubMed CentralView ArticleGoogle Scholar
- Kleene K: Sexual selection, genetic conflict, selfish genes, and the atypical patterns of gene expression in spermatogenic cells. Dev Biol. 2005, 277: 16-26. 10.1016/j.ydbio.2004.09.031.PubMedView ArticleGoogle Scholar
- Pizzari T, Foster K: Sperm sociality: cooperation, altruism, and spite. PLoS Biol. 2008, 6: e130-10.1371/journal.pbio.0060130.PubMedPubMed CentralView ArticleGoogle Scholar
- Immler S: Sperm competition and sperm cooperation: the potential role of diploid and haploid expression. Reproduction. 2008, 135: 275-283. 10.1530/REP-07-0482.PubMedView ArticleGoogle Scholar
- Moore H, Dvorakova K, Jenkins N, Breed W: Exceptional sperm cooperation in the wood mouse. Nature. 2002, 418: 174-177. 10.1038/nature00832.PubMedView ArticleGoogle Scholar
- Till-Bottraud I, Joly D, Lachaise D, Snook RR: Pollen and sperm heteromorphism: convergence across kingdoms?. J Evol Biol. 2005, 18: 1-18. 10.1111/j.1420-9101.2004.00789.x.PubMedView ArticleGoogle Scholar
- Holman L, Freckleton RP, Snook RR: What use is an infertile sperm? A comparative study of sperm-heteromorphic Drosophila. Evolution. 2008, 62: 374-385. 10.1111/j.1558-5646.2007.00280.x.PubMedView ArticleGoogle Scholar
- Holman L, Snook RR: A sterile sperm caste protects brother fertile sperm from female-mediated death in Drosophila pseudoobscura. Curr Biol. 2008, 18: 292-296. 10.1016/j.cub.2008.01.048.PubMedView ArticleGoogle Scholar
- Rinkevich B: Natural chimerism in colonial urochordates. J Exp Mar Biol Ecol. 2005, 322: 93-109. 10.1016/j.jembe.2005.02.020.View ArticleGoogle Scholar
- Laird DJ, De Tomaso AW, Weissman IL: Stem cells are units of natural selection in a colonial ascidian. Cell. 2005, 123: 1351-1360. 10.1016/j.cell.2005.10.026.PubMedView ArticleGoogle Scholar
- Glass NL, Jacobson DJ, Shiu PKT: The genetics of hyphal fusion and vegetative incompatibility in filamentous ascomycete fungi. Annu Rev Genet. 2000, 34: 165-186. 10.1146/annurev.genet.34.1.165.PubMedView ArticleGoogle Scholar
- Strassmann JE, Zhu Y, Queller DC: Altruism and social cheating in the social amoeba Dictyostelium discoideum. Nature. 2000, 408: 965-967. 10.1038/35050087.PubMedView ArticleGoogle Scholar
- Kessin RH, Franke J: Dictyostelium: evolution, cell biology, and the development of multicellularity. Cambridge, UK; New York, NY, USA: Cambridge University Press; 2001Google Scholar
- De Tomaso AW, Nyholm SV, Palmeri KJ, Ishizuka KJ, Ludington WB, Mitchel K, Weissman IL: Isolation and characterization of a protochordate histocompatibility locus. Nature. 2005, 438: 454-459. 10.1038/nature04150.PubMedPubMed CentralView ArticleGoogle Scholar
- Ostrowski EA, Katoh M, Shaulsky G, Queller DC, Strassmann JE: Kin discrimination increases with genetic distance in a social amoeba. PLoS Biol. 2008, 6: e287-10.1371/journal.pbio.0060287.PubMedPubMed CentralView ArticleGoogle Scholar
- Ross CN, French JA, Orti G: Germ-line chimerism and paternal care in marmosets (Callithrix kuhlii). Proc Natl Acad Sci USA. 2007, 104: 6278-6282. 10.1073/pnas.0607426104.PubMedPubMed CentralView ArticleGoogle Scholar
- Santorelli LA, Thompson CR, Villegas E, Svetz J, Dinh C, Parikh A, Sucgang R, Kuspa A, Strassmann JE, Queller DC, Shaulsky G: Facultative cheater mutants reveal the genetic complexity of cooperation in social amoebae. Nature. 2008, 451: 1107-1110. 10.1038/nature06558.PubMedView ArticleGoogle Scholar
- Alon U: Biological networks: the tinkerer as an engineer. Science. 2003, 301: 1866-1867. 10.1126/science.1089072.PubMedView ArticleGoogle Scholar
- Davidson EH, Levine MS: Properties of developmental gene regulatory networks. Proc Natl Acad Sci USA. 2008, 105: 20063-20066. 10.1073/pnas.0806007105.PubMedPubMed CentralView ArticleGoogle Scholar
- Wall M, Hlavacek W, Savageau M: Design of gene circuits: lessons from bacteria. Nat Rev Genet. 2004, 5: 34-42. 10.1038/nrg1244.PubMedView ArticleGoogle Scholar
- Mitrophanov AY, Groisman EA: Positive feedback in cellular control systems. BioEssays. 2008, 30: 542-555. 10.1002/bies.20769.PubMedPubMed CentralView ArticleGoogle Scholar
- Maamar H, Raj A, Dubnau D: Noise in gene expression determines cell fate in Bacillus subtilis. Science. 2007, 317: 526-529. 10.1126/science.1140818.PubMedView ArticleGoogle Scholar
- Savageau MA: Demand theory of gene regulation. II. Quantitative application to the lactose and maltose operons of Escherichia coli. Genetics. 1998, 149: 1677-1691.PubMedPubMed CentralGoogle Scholar
- Savageau MA: Design of molecular control mechanisms and demand for gene-expression. Proc Natl Acad Sci USA. 1977, 74: 5647-5651. 10.1073/pnas.74.12.5647.PubMedPubMed CentralView ArticleGoogle Scholar
- Ameisen JC: The evolutionary origin and role of programmed cell death in single-celled organisms: A new view of executioners, mitochondria, host-pathogen interactions, and the role of death in the process of natural selection. When Cells Die. Edited by: Lockshin RA, Zakeri Z, Tilly JL. 1998, New York: Wiley-Liss, 3-56.Google Scholar
- Martin SJ: Apoptosis: suicide, execution or murder?. Trends Cell Biol. 1993, 3: 141-144. 10.1016/0962-8924(93)90128-N.PubMedView ArticleGoogle Scholar
- Gerdes K: Toxin-antitoxin modules may regulate synthesis of macromolecules during nutritional stress. J Bacteriol. 2000, 182: 561-572. 10.1128/JB.182.3.561-572.2000.PubMedPubMed CentralView ArticleGoogle Scholar
- Aizenman E, EngelbergKulka H, Glaser G: An Escherichia coli chromosomal ''addiction module" regulated by 3',5'-bispyrophosphate: A model for programmed bacterial cell death. Proc Natl Acad Sci USA. 1996, 93: 6059-6063. 10.1073/pnas.93.12.6059.PubMedPubMed CentralView ArticleGoogle Scholar
- Engelberg-Kulka H, Amitai S, Kolodkin-Gal I, Hazan R: Bacterial programmed cell death and multicellular behavior in bacteria. PLoS Genet. 2006, 2: e135-10.1371/journal.pgen.0020135.PubMedPubMed CentralView ArticleGoogle Scholar
- Kolodkin-Gal I, Engelberg-Kulka H: Induction of Escherichia coli chromosomal mazEF by stressful conditions causes an irreversible loss of viability. J Bacteriol. 2006, 188: 3420-3423. 10.1128/JB.188.9.3420-3423.2006.PubMedPubMed CentralView ArticleGoogle Scholar
- Pedersen K, Christensen SK, Gerdes K: Rapid induction and reversal of a bacteriostatic condition by controlled expression of toxins and antitoxins. Mol Microbiol. 2002, 45: 501-510. 10.1046/j.1365-2958.2002.03027.x.PubMedView ArticleGoogle Scholar
- Maiuri MC, Tasdemir E, Criollo A, Morselli E, Vicencio JM, Carnuccio R, Kroemer G: Control of autophagy by oncogenes and tumor suppressor genes. Cell Death Differ. 2009, 16: 87-93. 10.1038/cdd.2008.131.PubMedView ArticleGoogle Scholar
- Levine B, Abrams J: p53: The Janus of autophagy?. Nat Cell Biol. 2008, 10: 637-639. 10.1038/ncb0608-637.PubMedPubMed CentralView ArticleGoogle Scholar
- Orr HA: Adaptation and the cost of complexity. Evolution. 2000, 54: 13-20. 10.1111/j.0014-3820.2000.tb00002.x.PubMedView ArticleGoogle Scholar
- Fisher RA: The Genetical Theory of Natural Selection. 1930, Oxford: The Clarendon PressView ArticleGoogle Scholar
- Cooper TF, Ostrowski EA, Travisano M: A negative relationship between mutation pleiotropy and fitness effect in yeast. Evolution. 2007, 61: 1495-1499. 10.1111/j.1558-5646.2007.00109.x.PubMedView ArticleGoogle Scholar
- Waxman D, Peck JR: Pleiotropy and the preservation of perfection. Science. 1998, 279: 1210-1213. 10.1126/science.279.5354.1210.View ArticleGoogle Scholar
- Foster KR, Shaulsky G, Strassmann JE, Queller DC, Thompson CRL: Pleiotropy as a mechanism to stabilize cooperation. Nature. 2004, 431: 693-696. 10.1038/nature02894.PubMedView ArticleGoogle Scholar
- Ostrowski EA, Ofria C, Lenski RE: Ecological specialization and adaptive decay in digital organisms. Am Nat. 2007, 169: E1-E20. 10.1086/510211.PubMedView ArticleGoogle Scholar
- Grafen A: A geometric view of relatedness. Oxford Surv Evol Biol. 1985, 2: 28-89.Google Scholar
- Helanterä H, Bargum K: Pedigree relatedness, not greenbeard genes, explains eusociality. Oikos. 2007, 116: 217-220. 10.1111/j.0030-1299.2007.15411.x.View ArticleGoogle Scholar
- Foster KR, Ratnieks FLW: Facultative worker policing in a wasp. Nature. 2000, 407: 692-693. 10.1038/35037665.PubMedView ArticleGoogle Scholar
- Frank SA: Perspective: repression of competition and the evolution of cooperation. Evolution. 2003, 57: 693-705.PubMedGoogle Scholar
- Cortesi P, Milgroom MG: Genetics of vegetative incompatibility in Cryphonectria parasitica. Appl Environ Microbiol. 1998, 64: 2988-2994.PubMedPubMed CentralGoogle Scholar
- Anagnostakis SL: Vegetative incompatibility in Endothia parasitica. Exp Mycol. 1977, 1: 306-316. 10.1016/S0147-5975(77)80006-6.View ArticleGoogle Scholar