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Kin selection
Kin selection
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The co-operative behaviour of social insects like the honey bee can be explained by kin selection.

Kin selection is a process whereby natural selection favours a trait due to its positive effects on the reproductive success of an organism's relatives, even when at a cost to the organism's own survival and reproduction.[1] Kin selection can lead to the evolution of altruistic behaviour. It is related to inclusive fitness, which combines the number of offspring produced with the number an individual can ensure the production of by supporting others (weighted by the relatedness between individuals). A broader definition of kin selection includes selection acting on interactions between individuals who share a gene of interest even if the gene is not shared due to common ancestry.[1]

Charles Darwin discussed the concept of kin selection in his 1859 book, On the Origin of Species, where he reflected on the puzzle of sterile social insects, such as honey bees, which leave reproduction to their mothers, arguing that a selection benefit to related organisms (the same "stock") would allow the evolution of a trait that confers the benefit but destroys an individual at the same time. J.B.S. Haldane in 1955 briefly alluded to the principle in limited circumstances (Haldane famously joked that he would willingly die for two brothers or eight cousins), and R.A. Fisher mentioned a similar principle even more briefly in 1930. However, it was not until 1964 that W.D. Hamilton generalised the concept and developed it mathematically (resulting in Hamilton's rule) that it began to be widely accepted. The mathematical treatment was made more elegant in 1970 due to advances made by George R. Price. The term "kin selection" was first used by John Maynard Smith in 1964.

According to Hamilton's rule, kin selection causes genes to increase in frequency when the genetic relatedness of a recipient to an actor multiplied by the benefit to the recipient is greater than the reproductive cost to the actor.[2][3] Hamilton proposed two mechanisms for kin selection. First, kin recognition allows individuals to be able to identify their relatives. Second, in viscous populations, populations in which the movement of organisms from their place of birth is relatively slow, local interactions tend to be among relatives by default. The viscous population mechanism makes kin selection and social cooperation possible in the absence of kin recognition. In this case, nurture kinship, the interaction between related individuals, simply as a result of living in each other's proximity, is sufficient for kin selection, given reasonable assumptions about population dispersal rates. Kin selection is not the same thing as group selection, where natural selection is believed to act on the group as a whole.

In humans, altruism is both more likely and on a larger scale with kin than with unrelated individuals; for example, humans give presents according to how closely related they are to the recipient. In other species, vervet monkeys use allomothering, where related females such as older sisters or grandmothers often care for young, according to their relatedness. The social shrimp Synalpheus regalis protects juveniles within highly related colonies.

Historical overview

[edit]
Charles Darwin wrote that selection could be applied to the family as well as to the individual.[4]

Charles Darwin was the first to discuss the concept of kin selection (without using that term). In On the Origin of Species, he wrote about the conundrum represented by altruistic sterile social insects that:[4]

This difficulty, though appearing insuperable, is lessened, or, as I believe, disappears, when it is remembered that selection may be applied to the family, as well as to the individual, and may thus gain the desired end. Breeders of cattle wish the flesh and fat to be well marbled together. An animal thus characterised has been slaughtered, but the breeder has gone with confidence to the same stock and has succeeded.

— Darwin

In this passage "the family" and "stock" stand for a kin group. These passages and others by Darwin about kin selection are highlighted in D.J. Futuyma's textbook of reference Evolutionary Biology[5] and in E. O. Wilson's Sociobiology.[6]

Kin selection was briefly referred to by R.A. Fisher in 1930[7] and J.B.S. Haldane in 1932[8] and 1955.[9] J.B.S. Haldane grasped the basic quantities in kin selection, famously writing "I would lay down my life for two brothers or eight cousins".[10] Haldane's remark alluded to the fact that if an individual loses its life to save two siblings, four nephews, or eight cousins, it is a "fair deal" in evolutionary terms, as siblings are on average 50% identical by descent, nephews 25%, and cousins 12.5% (in a diploid population that is randomly mating and previously outbred). But Haldane also joked that he would truly die only to save more than a single identical twin of his or more than two full siblings.[11][12] In 1955 he clarified:[13]

Let us suppose that you carry a rare gene that affects your behaviour so that you jump into a flooded river and save a child, but you have one chance in ten of being drowned, while I do not possess the gene, and stand on the bank and watch the child drown. If the child's your own child or your brother or sister, there is an even chance that this child will also have this gene, so five genes will be saved in children for one lost in an adult. If you save a grandchild or a nephew, the advantage is only two and a half to one. If you only save a first cousin, the effect is very slight. If you try to save your first cousin once removed the population is more likely to lose this valuable gene than to gain it. … It is clear that genes making for conduct of this kind would only have a chance of spreading in rather small populations when most of the children were fairly near relatives of the man who risked his life.

W. D. Hamilton, in 1963[14] and especially in 1964[2][3] generalised the concept and developed it mathematically, showing that it holds for genes even when they are not rare, deriving Hamilton's rule and defining a new quantity known as an individual's inclusive fitness. He is widely credited as the founder of the field of social evolution. A more elegant mathematical treatment was made possible by George Price in 1970.[15]

The evolutionary biologist John Maynard Smith used the term "kin selection" in 1964.

John Maynard Smith may have coined the actual term "kin selection" in 1964:[16]

These processes I will call kin selection and group selection respectively. Kin selection has been discussed by Haldane and by Hamilton. … By kin selection I mean the evolution of characteristics which favour the survival of close relatives of the affected individual, by processes which do not require any discontinuities in the population breeding structure.

Kin selection causes changes in gene frequency across generations, driven by interactions between related individuals. This dynamic forms the conceptual basis of the theory of sociobiology. Some cases of evolution by natural selection can only be understood by considering how biological relatives influence each other's fitness. Under natural selection, a gene encoding a trait that enhances the fitness of each individual carrying it should increase in frequency within the population; and conversely, a gene that lowers the individual fitness of its carriers should be eliminated. However, a hypothetical gene that prompts behaviour which enhances the fitness of relatives but lowers that of the individual displaying the behaviour, may nonetheless increase in frequency, because relatives often carry the same gene. According to this principle, the enhanced fitness of relatives can at times more than compensate for the fitness loss incurred by the individuals displaying the behaviour, making kin selection possible. This is a special case of a more general model, "inclusive fitness".[17] This analysis has been challenged,[18] Wilson writing that "the foundations of the general theory of inclusive fitness based on the theory of kin selection have crumbled"[19] and that he now relies instead on the theory of eusociality and "gene-culture co-evolution" for the underlying mechanics of sociobiology. Inclusive fitness theory is still generally accepted however, as demonstrated by the publication of a rebuttal to Wilson's claims in Nature from over a hundred researchers.[20]

Kin selection is contrasted with group selection, according to which a genetic trait can become prevalent within a group because it benefits the group as a whole, regardless of any benefit to individual organisms. All known forms of group selection conform to the principle that an individual behaviour can be evolutionarily successful only if the genes responsible for this behaviour conform to Hamilton's Rule, and hence, on balance and in the aggregate, benefit from the behaviour.[21][22]

Hamilton's rule

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Formally, genes for a particular behavior should increase in frequency when

where

r = the genetic relatedness of the recipient to the actor, often defined as the probability that a gene picked randomly from each at the same locus is identical by descent.
B = the additional reproductive benefit gained by the recipient of the altruistic act,
C = the reproductive cost to the individual performing the act.

This inequality is known as Hamilton's rule after W. D. Hamilton who in 1964 published the first formal quantitative treatment of kin selection.[2][3]

The relatedness parameter (r) in Hamilton's rule was introduced in 1922 by Sewall Wright as a coefficient of relationship that gives the probability that at a random locus, the alleles there will be identical by descent.[23] Modern formulations of the rule use Alan Grafen's definition of relatedness based on the theory of linear regression.[24]

A 2014 review of many lines of evidence for Hamilton's rule found that its predictions were confirmed in a wide variety of social behaviours across a broad phylogenetic range of birds, mammals and insects, in each case comparing social and non-social taxa.[25] Among the experimental findings, a 2010 study used a wild population of red squirrels in Yukon, Canada. Surrogate mothers adopted related orphaned squirrel pups but not unrelated orphans. The cost of adoption was calculated by measuring a decrease in the survival probability of the entire litter after increasing the litter by one pup, while benefit was measured as the increased chance of survival of the orphan. The degree of relatedness of the orphan and surrogate mother for adoption to occur depended on the number of pups the surrogate mother already had in her nest, as this affected the cost of adoption. Females always adopted orphans when rB was greater than C, but never adopted when rB was less than C, supporting Hamilton's rule.[26][note 1]

Mechanisms

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Altruism occurs where the instigating individual suffers a fitness loss while the receiving individual experiences a fitness gain. The sacrifice of one individual to help another is an example.[27]

Hamilton outlined two ways in which kin selection altruism could be favoured:

The selective advantage which makes behaviour conditional in the right sense on the discrimination of factors which correlate with the relationship of the individual concerned is therefore obvious. It may be, for instance, that in respect of a certain social action performed towards neighbours indiscriminately, an individual is only just breaking even in terms of inclusive fitness. If he could learn to recognise those of his neighbours who really were close relatives and could devote his beneficial actions to them alone an advantage to inclusive fitness would at once appear. Thus a mutation causing such discriminatory behaviour itself benefits inclusive fitness and would be selected. In fact, the individual may not need to perform any discrimination so sophisticated as we suggest here; a difference in the generosity of his behaviour according to whether the situations evoking it were encountered near to, or far from, his own home might occasion an advantage of a similar kind.[2]

Kin recognition and the green beard effect

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Kin recognition theory predicts a selective advantage for the bearers of a trait (like the fictitious 'green beard') behave altruistically towards others with the same trait.

First, if individuals have the capacity to recognise kin and to discriminate (positively) on the basis of kinship, then the average relatedness of the recipients of altruism could be high enough for kin selection. Because of the facultative nature of this mechanism, kin recognition and discrimination were expected to be unimportant except among 'higher' forms of life. However, as molecular recognition mechanisms have been shown to operate in organisms such as slime moulds [28] kin recognition has much wider importance than previously recognised. Kin recognition may be selected for inbreeding avoidance, and little evidence indicates that 'innate' kin recognition plays a role in mediating altruism. A thought experiment on the kin recognition/discrimination distinction is the hypothetical 'green beard', where a gene for social behaviour is imagined also to cause a distinctive phenotype that can be recognised by other carriers of the gene. Due to conflicting genetic similarity in the rest of the genome, there should be selection pressure for green-beard altruistic sacrifices to be suppressed, making common ancestry the most likely form of inclusive fitness.[2][29] This suppression is overcome if new phenotypes -other beard colours- are formed through mutation or introduced into the population from time to time. This proposed mechanism goes by the name of 'beard chromodynamics'.[30]

Viscous populations

[edit]

Secondly, indiscriminate altruism may be favoured in "viscous" populations, those with low rates or short ranges of dispersal. Here, social partners are typically related, and so altruism can be selective advantageous without the need for kin recognition and kin discrimination faculties—spatial proximity, together with limited dispersal, ensures that social interactions are more often with related individuals. This suggests a rather general explanation for altruism. Directional selection always favours those with higher rates of fecundity within a certain population. Social individuals can often enhance the survival of their own kin by participating in and following the rules of their own group.[2]

Hamilton later modified his thinking to suggest that an innate ability to recognise actual genetic relatedness was unlikely to be the dominant mediating mechanism for kin altruism:[31]

But once again, we do not expect anything describable as an innate kin recognition adaptation, used for social behaviour other than mating, for the reasons already given in the hypothetical case of the trees.

Hamilton's later clarifications often go unnoticed. Stuart West and colleagues have countered the long-standing assumption that kin selection requires innate powers of kin recognition.[32] Another doubtful assumption is that social cooperation must be based on limited dispersal and shared developmental context. Such ideas have obscured the progress made in applying kin selection to species including humans, on the basis of cue-based mediation of social bonding and social behaviours.[33][34]

Special cases

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Eusociality

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Ants are eusocial insects; the queen (large, centre) is reproductive, while the workers (small) and soldiers (medium size, with large jaws) are generally not.

Eusociality (true sociality) occurs in social systems with three characteristics: an overlap in generations between parents and their offspring, cooperative brood care, and specialised castes of non-reproductive individuals.[35] The social insects provide good examples of organisms with what appear to be kin selected traits. The workers of some species are sterile, a trait that would not occur if individual selection was the only process at work. The relatedness coefficient r is abnormally high between the worker sisters in a colony of Hymenoptera due to haplodiploidy. Hamilton's rule is presumed to be satisfied because the benefits in fitness for the workers are believed to exceed the costs in terms of lost reproductive opportunity, though this has never been demonstrated empirically. Competing hypotheses have been offered to explain the evolution of social behaviour in such organisms.[18]

The eusocial shrimp Synalpheus regalis protects juveniles in the colony. By defending the young, the large defender shrimp can increase its inclusive fitness. Allozyme data demonstrated high relatedness within colonies, averaging 0.50. This means that colonies represent close kin groups, supporting the hypothesis of kin selection.[36]

Allomothering

[edit]
Vervet monkeys behave in ways that imply kin selection.

Vervet monkeys utilise allomothering, parenting by group members other than the actual mother or father, where the allomother is typically an older female sibling or a grandmother. Individuals act aggressively toward other individuals that were aggressive toward their relatives. The behaviour implies kin selection between siblings, between mothers and offspring, and between grandparents and grandchildren.[37][38]

In humans

[edit]

Whether or not Hamilton's rule always applies, relatedness is often important for human altruism, in that humans are inclined to behave more altruistically toward kin than toward unrelated individuals.[39] Many people choose to live near relatives, exchange sizeable gifts with relatives, and favour relatives in wills in proportion to their relatedness.[39]

Experimental studies, interviews, and surveys

[edit]

Interviews of several hundred women in Los Angeles showed that while non-kin friends were willing to help one another, their assistance was far more likely to be reciprocal. The largest amounts of non-reciprocal help, however, were reportedly provided by kin. Additionally, more closely related kin were considered more likely sources of assistance than distant kin.[40] Similarly, several surveys of American college students found that individuals were more likely to incur the cost of assisting kin when a high probability that relatedness and benefit would be greater than cost existed. Participants' feelings of helpfulness were stronger toward family members than non-kin. Additionally, participants were found to be most willing to help those individuals most closely related to them. Interpersonal relationships between kin in general were more supportive and less Machiavellian than those between non-kin.[41]

In one experiment, the longer participants (from both the UK and the South African Zulus) held a painful skiing position, the more money or food was presented to a given relative. Participants repeated the experiment for individuals of different relatedness (parents and siblings at r=.5, grandparents, nieces, and nephews at r=.25, etc.). The results showed that participants held the position for longer intervals the greater the degree of relatedness between themselves and those receiving the reward.[42]

Observational studies

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A study of food-sharing practices on the West Caroline islets of Ifaluk determined that food-sharing was more common among people from the same islet, possibly because the degree of relatedness between inhabitants of the same islet would be higher than relatedness between inhabitants of different islets. When food was shared between islets, the distance the sharer was required to travel correlated with the relatedness of the recipient—a greater distance meant that the recipient needed to be a closer relative. The relatedness of the individual and the potential inclusive fitness benefit needed to outweigh the energy cost of transporting the food over distance.[43]

Humans may use the inheritance of material goods and wealth to maximise their inclusive fitness. By providing close kin with inherited wealth, an individual may improve his or her kin's reproductive opportunities and thus increase his or her own inclusive fitness even after death. A study of a thousand wills found that the beneficiaries who received the most inheritance were generally those most closely related to the will's writer. Distant kin received proportionally less inheritance, with the least amount of inheritance going to non-kin.[44]

A study of childcare practices among Canadian women found that respondents with children provide childcare reciprocally with non-kin. The cost of caring for non-kin was balanced by the benefit a woman received—having her own offspring cared for in return. However, respondents without children were significantly more likely to offer childcare to kin. For individuals without their own offspring, the inclusive fitness benefits of providing care to closely related children might outweigh the time and energy costs of childcare.[45]

Family investment in offspring among black South African households also appears consistent with an inclusive fitness model. A higher degree of relatedness between children and their caregivers was correlated with a higher degree of investment in the children, with more food, health care, and clothing. Relatedness was also associated with the regularity of a child's visits to local medical practitioners and with the highest grade the child had completed in school, and negatively associated with children being behind in school for their age.[46]

Observation of the Dolgan hunter-gatherers of northern Russia suggested that there are larger and more frequent asymmetrical transfers of food to kin. Kin are more likely to be welcomed to non-reciprocal meals, while non-kin are discouraged from attending. Finally, when reciprocal food-sharing occurs between families, these families are often closely related, and the primary beneficiaries are the offspring.[47]

Violence in families is more likely when step-parents are present, and that "genetic relationship is associated with a softening of conflict, and people's evident valuations of themselves and of others are systematically related to the parties' reproductive values".[48] Numerous studies suggest how inclusive fitness may work amongst different peoples, such as the Ye'kwana of southern Venezuela, the Gypsies of Hungary, and the doomed Donner Party of the United States.[49][50][51][52]

Human social patterns

[edit]
Families are important in human behaviour, but kin selection may be based on closeness and other cues.

Evolutionary psychologists, following early human sociobiologists' interpretation[53] of kin selection theory initially attempted to explain human altruistic behaviour through kin selection by stating that "behaviors that help a genetic relative are favored by natural selection." However, many evolutionary psychologists recognise that this common shorthand formulation is inaccurate:[54]

Many misunderstandings persist. In many cases, they result from conflating "coefficient of relatedness" and "proportion of shared genes", which is a short step from the intuitively appealing—but incorrect—interpretation that "animals tend to be altruistic toward those with whom they share a lot of genes." These misunderstandings don't just crop up occasionally; they are repeated in many writings, including undergraduate psychology textbooks—most of them in the field of social psychology, within sections describing evolutionary approaches to altruism.

As with the earlier sociobiological forays into the cross-cultural data, typical approaches are not able to find explanatory fit with the findings of ethnographers insofar that human kinship patterns are not necessarily built upon blood-ties. However, as Hamilton's later refinements of his theory make clear, it does not simply predict that genetically related individuals will inevitably recognise and engage in positive social behaviours with genetic relatives: rather, indirect context-based mechanisms may have evolved, which in historical environments have met the inclusive fitness criterion. Consideration of the demographics of the typical evolutionary environment of any species is crucial to understanding the evolution of social behaviours. As Hamilton himself put it, "Altruistic or selfish acts are only possible when a suitable social object is available. In this sense behaviours are conditional from the start".[31]

Under this perspective, and noting the necessity of a reliable context of interaction being available, the data on how altruism is mediated in social mammals is readily made sense of. In social mammals, primates and humans, altruistic acts that meet the kin selection criterion are typically mediated by circumstantial cues such as shared developmental environment, familiarity and social bonding.[55] That is, it is the context that mediates the development of the bonding process and the expression of the altruistic behaviours, not genetic relatedness as such. This interpretation is compatible with the cross-cultural ethnographic data and has been called nurture kinship.[34]

In plants

[edit]

Observations

[edit]

Though originally thought unique to the animal kingdom, evidence of kin selection has been identified in the plant kingdom.[56]

Competition for resources between developing zygotes in plant ovaries increases when seeds had been pollinated with male gametes from different plants.[57] How developing zygotes differentiate between full siblings and half-siblings in the ovary is undetermined, but genetic interactions are thought to play a role.[57] Nonetheless, competition between zygotes in the ovary is detrimental to the reproductive success of the (female) plant, and fewer zygotes mature into seeds.[57] As such, the reproductive traits and behaviors of plants suggests the evolution of behaviors and characteristics that increase the genetic relatedness of fertilized eggs in the plant ovary, thereby fostering kin selection and cooperation among the seeds as they develop. These traits differ among plant species. Some species have evolved to have fewer ovules per ovary, commonly one ovule per ovary, thereby decreasing the chance of developing multiple, differently fathered seeds within the same ovary.[57] Multi-ovulated plants have developed mechanisms that increase the chances of all ovules within the ovary being fathered by the same parent. Such mechanisms include dispersal of pollen in aggregated packets and closure of the stigmatic lobes after pollen is introduced.[57] The aggregated pollen packet releases pollen gametes in the ovary, thereby increasing likelihood that all ovules are fertilized by pollen from the same parent.[57] Likewise, the closure of the ovary pore prevents entry of new pollen.[57] Other multi-ovulated plants have evolved mechanisms that mimic the evolutionary adaption of single-ovulated ovaries; the ovules are fertilized by pollen from different individuals, but the mother ovary then selectively aborts fertilized ovules, either at the zygotic or embryonic stage.[57]

Morning glory plants grow smaller roots when next to kin than to non-kin plants.

After seeds are dispersed, kin recognition and cooperation affects root formation in developing plants.[58] Studies have found that the total root mass developed by Ipomoea hederacea (morning glory shrubs) grown next to kin is significantly smaller than those grown next to non-kin;[58][59] shrubs grown next to kin thus allocate less energy and resources to growing the larger root systems needed for competitive growth. When seedlings were grown in individual pots placed next to kin or non-kin relatives, no difference in root growth was observed.[59] This indicates that kin recognition occurs via signals received by the roots.[59] Further, groups of I. hederacea plants are more varied in height when grown with kin than when grown with non-kin.[58] The evolutionary benefit provided by this was further investigated by researchers at the Université de Montpellier. They found that the alternating heights seen in kin-grouped crops allowed for optimal light availability to all plants in the group; shorter plants next to taller plants had access to more light than those surrounded by plants of similar height.[60]

The above examples illustrate the effect of kin selection in the equitable allocation of light, nutrients, and water. The evolutionary emergence of single-ovulated ovaries in plants has eliminated the need for a developing seed to compete for nutrients, thus increasing its chance of survival and germination.[57] Likewise, the fathering of all ovules in multi-ovulated ovaries by one father, decreases the likelihood of competition between developing seeds, thereby also increasing the seeds' chances of survival and germination.[57] The decreased root growth in plants grown with kin increases the amount of energy available for reproduction; plants grown with kin produced more seeds than those grown with non-kin.[58][59] Similarly, the increase in light made available by alternating heights in groups of related plants is associated with higher fecundity.[58][60]

Kin selection has also been observed in plant responses to herbivory. In an experiment done by Richard Karban et al., leaves of potted Artemisia tridentata (sagebrushes) were clipped with scissors to simulate herbivory. The gaseous volatiles emitted by the clipped leaves were captured in a plastic bag. When these volatiles were transferred to leaves of a closely related sagebrush, the recipient experienced lower levels of herbivory than those that had been exposed to volatiles released by non-kin plants.[56] Sagebrushes do not uniformly emit the same volatiles in response to herbivory: the chemical ratios and composition of emitted volatiles vary from one sagebrush to another.[56][61] Closely related sagebrushes emit similar volatiles, and the similarities decrease as relatedness decreases.[56] This suggests that the composition of volatile gasses plays a role in kin selection among plants. Volatiles from a distantly related plant are less likely to induce a protective response against herbivory in a neighboring plant, than volatiles from a closely related plant.[56] This fosters kin selection, as the volatiles emitted by a plant will activate the herbivorous defense response in related plants only, thus increasing their chance of survival and reproduction.[56]

Kin selection may play a role in plant-pollinator interactions, especially because pollinator attraction is influenced not only by floral displays, but by the spatial arrangement of plants in a group, which is referred to as the "magnet effect".[62] For example, in an experiment performed on Moricandia moricandioides, Torices et al. demonstrated that focal plants in the presence of kin show increased advertising effort (defined as total petal mass of plants in a group divided by the plant biomass) compared to those in the presence of non-kin, and that this effect is greater in larger groups.[62] M. moricandioides is a good model organism for the study of plant-pollinator interactions because it relies on pollinators for reproduction, as it is self-incompatible.[62] The study design for this experiment included planting establishing pots of M. moricandioides with zero, three or six neighbors (either unrelated or half-sib progeny of the same mother) and advertising effort was calculated after 26 days of flowering.[62] The exact mechanism of kin recognition in M. moricandioides is unknown, but possible mechanisms include above-ground communication with volatile compounds,[63] or below-ground communication with root exudates.[64]

Mechanisms in plants

[edit]

The ability to differentiate between kin and non-kin is not necessary for kin selection in many animals.[65] However, because plants do not reliably germinate in close proximity to kin, it is thought that, within the plant kingdom, kin recognition is especially important for kin selection there, but the mechanism remains unknown.[65][66]

One proposed mechanism for kin recognition involves communication through roots, with secretion and reception of root exudates.[65][67][68][69] This would require exudates to be actively secreted by roots of one plant, and detected by roots of neighboring plants.[67][68] The root exudate allantoin produced by rice plants, Oryza sativa, has been documented to be in greater production when growing next to cultivars that are largely unrelated.[69][70] High production levels of Allantoin correlated to up regulation of auxin and auxin transporters, resulting in increased lateral root development and directional growth of their roots towards non kin, maximizing competition.[69][70] This is mainly not observed in Oryza Sativa when surrounded by kin, invoking altruistic behaviors to promote inclusive fitness.[69] However the root receptors responsible for recognition of kin exudates, and the pathway induced by receptor activation, remain unknown.[68] The mycorrhiza associated with roots might facilitate reception of exudates, but again the mechanism is unknown.[71]

Another possibility is communication through green leaf volatiles. Karban et al. studied kin recognition in sagebrushes, Artemisia tridentata. The volatile-donating sagebrushes were kept in individual pots, separate from the plants that received the volatiles, finding that plants responded to herbivore damage to a neighbour's leaves. This suggests that root signalling is not necessary to induce a protective response against herbivory in neighbouring kin plants. Karban et al. suggest that plants may be able to differentiate between kin and non-kin based on the composition of volatiles. Because only the recipient sagebrush's leaves were exposed[56] the volatiles presumably activated a receptor protein in the plant's leaves. The identity of this receptor, and the signalling pathway triggered by its activation, both remain to be discovered.[72]

Objections

[edit]

The theory of kin selection has been criticised by W. J. Alonso (in 1998)[73] and by Alonso and C. Schuck-Paim (in 2002).[74] They argue that the behaviours which kin selection attempts to explain are not altruistic (in pure Darwinian terms) because: (1) they may directly favour the performer as an individual aiming to maximise its progeny (so the behaviours can be explained as ordinary individual selection); (2) these behaviours benefit the group (so they can be explained as group selection); or (3) they are by-products of a developmental system of many "individuals" performing different tasks (like a colony of bees, or the cells of multicellular organisms, which are the focus of selection). They also argue that the genes involved in sex ratio conflicts could be treated as "parasites" of (already established) social colonies, not as their "promoters", and, therefore the sex ratio in colonies would be irrelevant to the transition to eusociality.[73][74] Those ideas were mostly ignored until they were put forward again in a series of controversial[20] papers by E. O. Wilson, Bert Hölldobler, Martin Nowak and Corina Tarnita.[75][76][77] Nowak, Tarnita and Wilson argued that

Inclusive fitness theory is not a simplification over the standard approach. It is an alternative accounting method, but one that works only in a very limited domain. Whenever inclusive fitness does work, the results are identical to those of the standard approach. Inclusive fitness theory is an unnecessary detour, which does not provide additional insight or information.

— Nowak, Tarnita, and Wilson[18]

They, like Alonso and Schuck-Paim, argue for a multi-level selection model instead.[18] This aroused a strong response, including a rebuttal published in Nature from over a hundred researchers.[20]

See also

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Notes

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References

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
Kin selection is an evolutionary mechanism in which favors behaviors that enhance the survival and of an individual's genetic relatives, thereby increasing the propagation of shared genes even at a personal cost. This process, central to understanding and , operates through the concept of , which encompasses an individual's direct fitness (personal reproduction) plus indirect fitness gained by aiding relatives weighted by their genetic relatedness. Formulated by British biologist in his seminal 1964 papers, kin selection provides a mathematical framework for predicting when such cooperative traits evolve, encapsulated in Hamilton's rule: rB>CrB > C, where rr is the coefficient of genetic relatedness between the actor and recipient (ranging from 0 to 1), BB is the reproductive benefit to the recipient, and CC is the reproductive cost to the actor. Hamilton's theory addressed a long-standing puzzle in : how seemingly selfless acts, which reduce an individual's direct fitness, could persist under . By emphasizing indirect benefits to shared genes, kin selection reconciles with Darwinian principles, showing that behaviors evolve not just for personal gain but for the net transmission of genes identical by descent. The coefficient rr quantifies average relatedness—for full siblings, r=0.5r = 0.5; for parent-offspring, also r=0.5r = 0.5; and in haplodiploid systems like those of social (bees, , wasps), full sisters share r=0.75r = 0.75, amplifying the potential for . This framework has broad applicability, explaining phenomena from microbial to complex animal societies. Empirical support for kin selection spans diverse taxa, with classic examples including eusocial insects where sterile workers forgo to support the , as the indirect fitness gains from raising sisters outweigh personal costs. In vertebrates, such as Belding's ground squirrels, females preferentially give alarm calls to warn closer kin of predators, adhering to Hamilton's rule by balancing predation risks against kin benefits. Vampire bats exhibit reciprocal food sharing primarily with relatives, enhancing in nutrient-scarce environments. These cases illustrate how kin selection drives , though it interacts with other factors like direct reciprocity and in multifaceted social systems. Despite its foundational status, kin selection has faced debates, particularly regarding its distinction from multilevel selection theories and the role of population structure in facilitating kin interactions. Nonetheless, it remains a cornerstone of modern , influencing fields from to human evolutionary psychology, and continues to be refined through genomic and experimental studies.

Fundamentals

Definition and Inclusive Fitness

Kin selection is a process of natural selection that favors the evolution of traits which increase the reproductive success of an individual's genetic relatives, even if those traits are costly to the individual exhibiting them.90038-4) This mechanism operates because relatives share genes by common descent, allowing the actor's genes to propagate indirectly through the success of kin.90038-4) Central to kin selection is the concept of inclusive fitness, introduced by W.D. Hamilton, which extends the traditional notion of Darwinian fitness beyond an individual's direct reproductive output.90038-4) Inclusive fitness is defined as the sum of an organism's direct fitness—its personal contribution to the next generation through its own reproduction—and its indirect fitness, which comprises the effects of its actions on the reproductive success of relatives, devalued by the coefficient of relatedness r (the probability that a gene in the actor is identical by descent to a gene in the recipient).90038-4) Mathematically, the net effect on inclusive fitness from a social behavior can be represented as rB - C, where r is the relatedness, B is the reproductive benefit to the recipient, and C is the reproductive cost to the actor; positive effects favor the evolution of such behaviors under kin selection.90038-4) Kin selection addresses the evolutionary paradox of altruism by demonstrating how apparently selfless behaviors can enhance the propagation of shared genes, resolving the challenge of explaining traits that reduce an individual's direct fitness yet persist in populations. For instance, a bird emitting an alarm call to warn nearby relatives of an approaching predator incurs a personal risk of attracting the predator's attention but may save the lives of kin, thereby boosting the actor's inclusive fitness if the relatedness-weighted benefits outweigh the cost.90038-4)

Hamilton's Rule

Hamilton's rule provides the mathematical condition under which a gene for altruistic behavior can spread in a through . Formulated by , the rule states that such a behavior evolves if the product of the genetic relatedness rr between actor and recipient and the fitness benefit BB to the recipient exceeds the fitness cost CC to the actor: rB>CrB > C Here, rr is the coefficient of genetic relatedness (ranging from 0 to 1), BB is the inclusive fitness gain to the recipient due to the altruistic act, and CC is the inclusive fitness decrement to the actor.90038-4) The derivation of Hamilton's rule emerges from theory, often using the Price equation to quantify how social behaviors affect frequency change. The Price equation describes the change in the average trait value Δzˉ\Delta \bar{z} in a as Δzˉ=\Cov(w,z)/wˉ+E(wΔz)/wˉ\Delta \bar{z} = \Cov(w, z) / \bar{w} + E(w \Delta z) / \bar{w}, where ww is relative fitness, zz is the trait (e.g., genotypic value for ), and the second term represents transmission bias (assumed zero for ). For a social trait, the covariance term decomposes into direct (C-C) and indirect (rBrB) fitness effects, where rr is the regression of the recipient's genotypic value on the actor's. Thus, the frequency increases if rBC>0rB - C > 0, yielding Hamilton's inequality. This holds under a simple genetic model, such as a single locus with additive effects, where the consists of actors and recipients interacting based on relatedness. In haplodiploid systems, for instance, the model adjusts for sex-specific , but the core inequality remains. The relatedness coefficient rr is defined as the probability that a homologous in the is identical by descent in the recipient, or equivalently, the slope of the regression of recipient's breeding value on the 's. It is calculated using pedigree or genetic methods; for diploid outbred , full siblings share r=0.5r = 0.5, half-siblings or grandparent-grandchild pairs share r=0.25r = 0.25, and first cousins share r=0.125r = 0.125. In structured , rr incorporates average coancestry, weighted by interaction probabilities.90075-4) Hamilton's rule assumes weak selection (rare mutant ), additive genetic effects without dominance or , and that costs and benefits are measured in lifetime without manipulation or non-genetic transmission. The rule applies precisely when these hold, but deviates under strong selection or frequency-dependent interactions, where higher-order terms may alter the condition.90038-4) Kin selection integrates with evolutionary game theory by incorporating relatedness into analyses of strategy evolution in social interactions. Relatedness adjusts payoffs or stability conditions in social dilemma games, such as the Prisoner's Dilemma, allowing altruistic strategies to evolve as evolutionarily stable strategies when Hamilton's rule is satisfied. Consider a numerical example in haplodiploid like honeybees, where full sisters share r=0.75r = 0.75 due to males being haploid (sharing all paternal genes, averaging 0.5 maternal). A sterile worker forgoes (C=1C = 1 offspring equivalent) to raise sisters, each gaining B=2B = 2 additional offspring equivalents. Since 0.75×2=1.5>10.75 \times 2 = 1.5 > 1, the altruistic spreads. If B=1B = 1, then 0.75×1=0.75<10.75 \times 1 = 0.75 < 1, and it does not.90038-4)

Historical Development

Early Concepts

Charles Darwin, in his 1859 work On the Origin of Species, identified the evolution of sterile worker castes in social insects like ants and honeybees as a major challenge to natural selection, since these individuals forgo reproduction to support the colony. He suggested that selection could operate at the family level, favoring traits that enhance the survival and reproduction of relatives sharing similar hereditary elements, thereby indirectly propagating the workers' own genetic material. In the early 20th century, R.A. Fisher advanced these ideas in his 1930 book The Genetical Theory of Natural Selection, where he analyzed selection in kin-structured populations and argued that altruistic behaviors could evolve if they confer benefits to genetic relatives, emphasizing the role of shared ancestry in gene transmission. Similarly, J.B.S. Haldane, in his 1932 book The Causes of Evolution, explored how genes for altruism could spread by providing benefits to relatives, noting that an individual might sacrifice itself if it saves more than two siblings or eight cousins, intuitively capturing the balance of costs and relatedness-weighted benefits. Sewall Wright's 1922 paper on coefficients of inbreeding and relationship provided a mathematical measure of genetic relatedness (r), which quantified the probability that homologous genes in two individuals are identical by descent, laying groundwork for understanding how kinship influences evolutionary outcomes. Wright's shifting balance theory, elaborated in the 1930s, further incorporated relatedness by positing that subdivided populations with high within-group kinship allow drift and selection to favor adaptive gene complexes that benefit the group, potentially resolving puzzles of cooperation. Ethologists Konrad Lorenz and Niko Tinbergen contributed intuitive insights in the 1930s and 1950s through studies on imprinting in birds, demonstrating innate mechanisms for forming strong familial bonds shortly after hatching, which facilitate recognition and preferential care toward relatives. Lorenz's observations of greylag geese showed that young birds imprint on the first moving object encountered, typically the parent, establishing lifelong attachments that promote group cohesion and kin-directed behaviors. Tinbergen's experiments on species like herring gulls reinforced this by illustrating how such early learning underpins social instincts that could evolve to favor relatives in natural populations. Transitional observations came from myrmecologist William Morton Wheeler in the 1910s, who described ant colonies as integrated superorganisms in his 1911 essay, noting how sterile workers' sacrifices enhance colony productivity and survival, implying indirect fitness benefits to the shared genetic lineage of the nestmates. These early concepts, while highlighting familial altruism and group-level adaptations, suffered from key limitations: they lacked a precise quantitative framework to predict when such behaviors would evolve, often conflating group selection with individual genetic interests without emphasizing heritability through relatedness. This intuitive focus on colony or family benefits persisted without a gene-centered resolution until the development of inclusive fitness theory.

Hamilton's Contributions

William D. Hamilton's seminal contributions to kin selection theory were formalized in his two 1964 papers published in the Journal of Theoretical Biology, titled "The genetical evolution of social behaviour I" and "The genetical evolution of social behaviour II." In these works, Hamilton developed a genetical mathematical model to explain how social behaviors, including altruism, could evolve through changes in gene frequencies influenced by interactions among relatives. He argued that a gene causing an individual to behave altruistically toward relatives could increase in frequency if the benefits to those relatives, weighted by their genetic relatedness to the actor, outweighed the costs to the actor himself. This framework shifted the focus from classical fitness measures, which emphasized direct reproduction, to a broader perspective incorporating indirect effects on kin. Central to Hamilton's innovation was the introduction of the concept of inclusive fitness, which he defined as an organism's personal fitness augmented by the effects of its actions on the fitness of its relatives, devalued by the coefficient of relatedness (r). This metric expands traditional Darwinian fitness by accounting for the propagation of genes through aiding kin, allowing for the evolution of seemingly selfless behaviors as long as they enhance the overall representation of shared genes in the population. Hamilton emphasized that "a species... tend to evolve behaviour such that each organism appears to be attempting to maximize its ," highlighting how natural selection operates at the level of gene replication across relatives rather than solely through individual survival and reproduction. The papers also derived what became known as Hamilton's rule as a key outcome, providing a condition (rb > c) under which altruistic traits spread. In the second paper, Hamilton extended these ideas to specific biological contexts, including his hypothesis on in the (, bees, and wasps). Under sex determination, females are more closely related to their full sisters (r = 0.75) than to their own offspring (r = 0.5), while males share only r = 0.25 with sisters. This asymmetry, Hamilton proposed, predisposes female workers to forgo personal reproduction in favor of raising sisters, facilitating the in these lineages where sterile castes are common. He noted that such genetic systems create conditions where "a gene may receive positive selection even though disadvantageous to its bearers if it causes them to confer sufficiently large advantages on relatives." Hamilton's 1964 papers marked a profound shift in from an organismal to a genic perspective on selection, emphasizing that social behaviors evolve as if genes are "selfish" in promoting their own replication through kin. This gene-centered approach profoundly influenced subsequent thinkers, including , whose 1976 book built directly on Hamilton's to popularize the idea that acts primarily at the gene level. By formalizing how relatedness enables , Hamilton's work provided a rigorous foundation for understanding cooperation in nature, resolving long-standing puzzles about the apparent conflict between individual self-interest and group benefits.

Mechanisms

Kin Recognition and Green Beard Effect

Kin recognition enables organisms to identify and preferentially interact with genetic relatives, facilitating the selective direction of altruistic behaviors as predicted by inclusive fitness theory. Two primary mechanisms underpin this process in animals: phenotypic matching and familiarity-based learning. In phenotypic matching, individuals use self-referent cues, such as their own odors, to recognize similar phenotypes in others as indicators of relatedness; for instance, female Belding's ground squirrels (Urocitellus beldingi) employ self-referent olfactory cues to discriminate close kin from non-kin during social interactions. This mechanism allows recognition of unfamiliar relatives without prior association, relying on heritable traits like (MHC)-linked odors that signal genetic similarity. Familiarity-based learning, in contrast, involves associating with relatives during early development to form a "template" for later recognition. In birds, such as long-tailed tits (Aegithalos caudatus), juveniles learn the vocalizations or appearances of family members encountered post-fledging, enabling adults to direct aid or aggression based on these learned cues rather than genetic markers alone. Empirical studies demonstrate the efficacy of these mechanisms; juvenile (Salmo salar) use odor-based phenotypic matching mediated by MHC genes to avoid competition with full siblings, preferring to school with unrelated or distantly related individuals to reduce resource overlap. Similarly, female Belding's ground squirrels emit alarm calls more frequently to alert close kin (mothers, daughters, sisters) to predators, a that enhances by protecting shared genes at personal risk. The green beard effect represents a direct genetic basis for kin recognition, where a single gene or tightly linked genes produce both a recognizable phenotypic trait and a behavioral response to favor bearers of that trait. Coined by Richard Dawkins in reference to William D. Hamilton's ideas, this mechanism posits a hypothetical gene that causes a visible marker, like a green beard, while also inducing altruism exclusively toward others displaying the same marker, regardless of actual pedigree relatedness. A real-world example occurs in the social amoeba Dictyostelium discoideum, where the csA gene encodes a surface protein that allows cells bearing it to preferentially aggregate and form fruiting bodies together during multicellular development, excluding non-bearers and thus promoting cooperation among identical genotypes. For the to evolve and persist, the trait and altruistic behavior must remain in , meaning the alleles are inherited together more often than expected by chance, preventing dissociation through recombination. Evolutionary stability requires that the benefits of outweigh costs under Hamilton's rule (rB > C, where r is relatedness, B the benefit to recipients, and C the to the ), but the is vulnerable to "cheaters"—mutants that mimic the trait without paying the altruistic cost—unless recognition specificity is high. Breakdown in , such as via frequent recombination, can destabilize the effect, limiting its prevalence compared to broader cues. Kin recognition systems, while adaptive, incur costs that constrain their , including the energetic demands of maintaining sensory templates and the risk of errors in . In like ground squirrels, post-hibernation memory of kin odors requires ongoing neural investment, potentially diverting resources from or . Additionally, these mechanisms play a crucial role in ; in mice (Mus musculus), olfactory phenotypic matching via MHC-disparate odors deters mating with close relatives, reducing the fitness costs of homozygous offspring such as reduced immune diversity and viability. Such ensures that recognition evolves primarily when the gains from and avoidance outweigh these maintenance expenses.

Population Structure and Viscosity

Population structure refers to the spatial arrangement of individuals within a population, which can influence the opportunities for interactions among relatives. In the context of kin selection, population viscosity arises when dispersal is limited, leading to low migration rates and the formation of kin-structured groups where individuals are more likely to interact with genetic relatives. This structure increases the average coefficient of relatedness () in local interactions, thereby facilitating the of altruistic behaviors by amplifying indirect fitness benefits. Hamilton introduced the concept of viscosity as a key parameter in his 1970 model, where slow movement from the birthplace concentrates relatives, enhancing the effects of cooperation without requiring active . The effects of population on selection are profound: in viscous populations, higher local relatedness values make it easier for to evolve compared to panmictic (randomly mixing) populations, as the benefits of helping are more likely to accrue to kin sharing the altruist . Theoretical models demonstrate that limited dispersal facilitates the satisfaction of Hamilton's rule (rb > c) by increasing local relatedness, allowing costly traits to spread through indirect fitness gains. For instance, simulations show that invades more readily under restricted movement, as spatial clustering preserves genetic similarity among interactors. thus acts as a passive mechanism promoting kin selection by aligning social interactions with genetic interests. Mathematical models, including extensions of the equation to spatial contexts, formalize how influences evolutionary dynamics by partitioning variance in fitness due to relatedness within local groups. These spatial Price models account for assortment generated by limited dispersal, showing that the between and fitness is elevated in structured populations, favoring the spread of cooperative alleles. Early results, such as those by Eshel in , illustrated that in populations with limited dispersal, the "neighbor effect" drives the of by increasing local relatedness, even when global relatedness is low. Such models highlight how modifies the selection gradient, making indirect benefits outweigh direct costs more effectively than in well-mixed scenarios. Empirical examples underscore these theoretical predictions. In bacterial biofilms, low dispersal creates clonal kin clusters where cells cooperate by producing shared public goods, such as extracellular polymers, benefiting relatives and enhancing group survival through kin selection. Similarly, in philopatric bird populations like superb fairy-wrens, delayed dispersal leads to kin-structured territories where non-breeding aid relatives in nesting, increasing despite personal reproductive costs. These cases demonstrate how structures populations to favor in natural settings. However, population viscosity also introduces trade-offs, as it can intensify among kin for limited resources, potentially promoting spiteful behaviors that harm relatives to reduce their fitness relative to the actor's. Models indicate that while viscosity boosts via elevated local r, it simultaneously heightens local density-dependent , which may counteract indirect benefits and favor traits that disadvantage close kin. This dual effect underscores the need to balance cooperative gains against kin rivalry in viscous environments.

Applications in Animals

Eusociality

represents the pinnacle of social organization in many animal lineages, characterized by a reproductive division of labor in which a small number of individuals monopolize while the majority forgo personal to perform cooperative tasks such as brood care; this system also features overlapping generations within colonies and cooperative care of produced by non-descendant relatives. This structure aligns with the framework of major evolutionary transitions, wherein lower-level entities (individuals) form higher-level units (colonies) that function as adaptive wholes with enhanced collective fitness, often through mechanisms that suppress within-group conflict and promote group-level benefits. Kin selection provides the primary explanatory framework for the evolution of , particularly through high genetic relatedness that makes toward relatives inclusive of the actor's fitness; Hamilton's rule posits that such evolves when the indirect fitness benefit to kin, weighted by relatedness rr, exceeds the fitness to the altruist. In the haplodiploid prevalent in the order (, bees, and wasps), female workers share an average relatedness of 0.75 with full sisters but only 0.5 with their own or brothers, creating an that favors workers investing in rearing sisters over personal reproduction. This dynamic is amplified by worker control over colony sex ratios, as predicted by Trivers and , who argued that workers should bias investment toward females at a 3:1 ratio (females:males) to maximize , in contrast to the queen's preferred 1:1 investment. Empirical support for this kin selection mechanism comes from comparative analyses across species, which reveal that population-level sex investment ratios deviate significantly toward the worker optimum of 3:1 rather than the queen's 1:1, consistent with and control over reproduction. Colony-level assessments further confirm that, under conditions of high relatedness, workers achieve greater genetic representation by aiding the queen's brood than by attempting solitary reproduction, as the summed indirect benefits through siblings outweigh the costs of and defense. Although haplodiploidy facilitates eusociality in Hymenoptera, the phenomenon has evolved independently in diploid insects like termites, where high relatedness is maintained not through sex-determination asymmetry but via lifetime monogamy of the founding king and queen, ensuring an average r=0.5r = 0.5 between full siblings—equivalent to the baseline for altruism in diploid systems and sufficient to favor sterile castes when combined with ecological pressures. A prominent case in Hymenoptera is the honeybee Apis mellifera, where worker policing exemplifies kin selection in action: workers preferentially remove eggs laid by other workers (which develop into nephews, r ≈ 0.1–0.2 due to multiple mating) but spare those laid by the queen (which develop into sisters with r > 0.3 or brothers with r ≈ 0.125), thereby suppressing selfish reproduction and channeling colony resources toward higher-relatedness offspring. In vertebrates, eusociality manifests in the naked mole rat (Heterocephalus glaber), a subterranean rodent where colonies consist of a single breeding queen and non-reproductive workers who cooperatively forage and care for young; genetic analyses show exceptionally high inbreeding and relatedness within colonies, enabling inclusive fitness gains for workers despite diploid inheritance.

Cooperative Breeding and Allomothering

Cooperative breeding describes social systems in which subordinate non-breeding individuals, termed helpers, forgo personal reproduction to aid dominant breeding pairs in rearing , often through provisioning, guarding, or nest maintenance. This behavior enhances the breeders' while allowing helpers to accrue indirect fitness benefits via kin selection, as the they assist are typically close relatives. Such systems are common among approximately 9% of bird species and several lineages, where ecological constraints like habitat saturation limit independent breeding opportunities. A key component of cooperative breeding is allomothering, the provision of by non-breeders such as aunts, uncles, or siblings, which promotes the survival and growth of related young without direct genetic payoff. In species like the (Ceryle rudis), helpers—often yearlings or failed breeders—contribute to chick feeding and defense, yielding indirect fitness gains proportional to their relatedness to the brood, as quantified by cost-benefit analyses showing positive returns from aiding full siblings or half-siblings. These acts align with Hamilton's rule, where the relatedness-weighted benefits to recipients outweigh the helpers' costs in energy or lost opportunities. Theoretical models, such as Emlen's 1982 ecological constraints framework, explain delayed dispersal—the precursor to helping—as an adaptive response where offspring remain philopatric if the expected from assisting kin exceeds that from solitary breeding attempts, particularly in saturated environments with high kin density. Empirical studies in wild populations validate this through relatedness-benefit-cost (rB-C) calculations, revealing that helping elevates overall fitness when directed toward close kin; for example, long-term monitoring of scrub-jays (Aphelocoma coerulescens) shows helpers gain substantial indirect fitness by supporting full siblings (r=0.5), with helped broods exhibiting higher survival rates than unassisted ones. Similar patterns emerge in meerkats (Suricata suricatta), where helpers increase pup recruitment through sentinel duties and foraging aid to relatives. Variations in cooperative breeding include sex-biased helping, often favoring the philopatric sex (typically males in birds), as seen in species like the noisy miner (Manorina melanocephala), where helping is strongly male-biased due to greater male retention in the natal group. In some lineages, such as halictid bees or certain birds, facultative cooperative breeding can transition to eusociality when ecological pressures intensify reproductive skew and high relatedness (r>0.5) stabilizes obligatory helping roles, marking an evolutionary escalation from partial to total altruism. Population viscosity further amplifies these kin opportunities by limiting dispersal and maintaining local relatedness.

Kin Selection in Humans

Experimental and Survey Evidence

Experimental paradigms in human kin selection research often employ economic games, such as the , where participants allocate resources to recipients manipulated by perceived . In these setups, participants typically receive an endowment and decide how much to transfer to an anonymous recipient, with kinship cues provided through descriptions or photos implying varying degrees of relatedness, such as siblings versus strangers. For instance, studies using modified dictator games have demonstrated that allocations increase with perceived genetic relatedness, supporting the prediction that altruistic acts are biased toward closer kin to maximize benefits. Neuroimaging techniques, like (fMRI), provide additional evidence by revealing neural responses to kin-specific stimuli. In a seminal study, participants viewed scenarios involving potential incestuous interactions, with greater activation observed when the imagined partner was a close relative (e.g., ) compared to a non-relative, indicating an evolved mechanism for and aversion to mating with kin that indirectly promotes kin-directed . This response highlights how the brain differentiates kin to facilitate prosocial behaviors aligned with Hamilton's rule, where the product of relatedness and benefit (rB) exceeds the cost (C). Methodologically, these experiments control for reciprocity by using anonymous, one-shot interactions and relatedness proxies like self-reported family trees or hypothetical genealogical descriptions to isolate kin bias effects. Survey and interview data further corroborate kin-biased altruism through hypothetical scenarios assessing willingness to engage in costly helping, such as organ or monetary donations. Participants consistently report higher willingness to donate organs to close relatives (e.g., children or siblings, r ≈ 0.5) than to distant kin (r ≈ 0.125) or strangers (r = 0), with decisions declining as genealogical distance increases. Cross-cultural patterns emerge in small-scale societies, such as among the Hadza foragers of , where s reveal stronger intentions to provide food or assistance to relatives over non-relatives, even after controlling for potential reciprocation through anonymous response formats. Twin studies offer genetic insights into the heritability of prosocial behaviors underlying kin selection, estimating moderate for traits like and helping tendencies that facilitate kin altruism. For example, analyses of adolescent twins show that has a of 30-50%, with non-shared environmental factors accounting for the remainder, suggesting a partial genetic basis for kin-biased actions that could evolve via . These studies use monozygotic (r=1) and dizygotic (r=0.5) twin comparisons to disentangle genetic from environmental influences, often incorporating manipulations in self-report measures of helping intentions. In the , lab-based economic games extended these findings, showing that participants in one-shot trust or public goods games allocate more resources to partners cued as kin, with transfers scaling by relatedness and satisfying rB > C conditions under controlled to minimize reciprocity confounds.

Observational and Social Pattern Studies

Ethnographic studies among societies provide evidence of kin-biased cooperation, where resource sharing and support are disproportionately directed toward genetic relatives. Among the Ache foragers of eastern , food sharing patterns show a toward close kin, particularly in the context of high-risk activities, supporting kin selection as a mechanism for enhancing through mutual aid within family groups. This kin-directed sharing helps mitigate the variability in individual food acquisition, thereby improving the survival and of relatives who share genes with the donors. Similar patterns emerge in other groups, such as the Hadza of , where cooperative labor and resource pooling favor maternal and paternal kin networks, reinforcing social bonds that align with genetic relatedness. Historical and cross-cultural observations reveal persistent patterns of extended family support in agrarian societies, where kin networks facilitate and labor division to bolster collective reproductive outcomes. In pre-industrial agricultural communities, such as those in 18th- and 19th-century and , extended kin groups often pooled resources for child-rearing and land management, with support flowing preferentially to closer relatives to maximize lineage continuity. laws across many traditional societies further exemplify this, systematically favoring close kin—such as children and siblings—over or non-kin, thereby channeling wealth to those with higher genetic relatedness and promoting the propagation of family genes. These structures, observed in diverse agrarian contexts from medieval to feudal , underscore how cultural norms evolved to align with kin selection principles by prioritizing familial heirs in property and status transmission. Observational data on life history trade-offs highlight the role of grandparental in kin selection, particularly in enhancing grandchild . Among the Hadza hunter-gatherers, postmenopausal grandmothers contribute significantly to and childcare, providing caloric support that correlates with improved grandchild growth and rates, independent of maternal effort. This exemplifies a post-reproductive lifespan , where older females forgo personal to aid descendants, yielding benefits as evidenced by longitudinal camp observations showing higher child in the presence of active grandmothers. Such patterns extend to other societies, illustrating how kin-biased buffers against environmental stressors and elevates overall family . Social patterns in modern and historical contexts demonstrate and differential treatment as manifestations of kin selection. In and , nepotistic hiring and promotion of relatives—such as members assuming roles in firms or —persist across cultures, from corporate boards in the U.S. to parliamentary seats in , often leading to sustained influence and resource control that benefits shared genetic lines. Similarly, rates of and are markedly lower toward genetic compared to stepchildren in blended families, with historical data from 19th-century and contemporary global records showing stepparents 40-100 times more likely to perpetrate fatal abuse, consistent with reduced incentives for non-kin. These behaviors reflect an evolved bias toward protecting and investing in genetic relatives to optimize reproductive returns. Quantitative analyses of genealogical records confirm that robust kin networks correlate with elevated reproductive success. In pre-industrial Finnish populations from the 18th to 20th centuries, proximity to certain relatives, such as maternal grandmothers, was associated with reduced child mortality risks (e.g., 17% lower in moderate socioeconomic status families), as shown in analyses of parish registers from 1732–1879 covering over 31,000 children. Among historical European aristocracies and rural communities, genealogical datasets reveal that individuals embedded in dense kin networks achieved greater lifetime reproductive output, attributed to mutual aid in marriage arrangements and economic buffering, thereby validating kin selection's role in shaping human demographic patterns.

Kin Selection in Plants

Empirical Observations

Empirical observations of kin selection in plants have primarily focused on belowground interactions, where sessile individuals adjust growth to favor relatives over non-kin competitors. In laboratory studies with the annual herb Arabidopsis thaliana, root exudates from non-kin (strangers) trigger greater lateral root formation compared to exudates from siblings, indicating chemical-mediated kin recognition that reduces competitive root proliferation toward relatives. Similarly, in pea plants (Pisum sativum), siblings elicit reduced competitive responses under resource limitation, with plants allocating more biomass to roots when grown with kin than with non-kin, suggesting kin recognition via root-secreted chemical cues enhances resource sharing among relatives. Competition dynamics further illustrate these patterns in crop species. Wheat (Triticum aestivum) seedlings exhibit reduced root length and proliferation when exposed to kin-derived substrates compared to non-kin, leading to less aggressive foraging and potentially higher overall yields in kin-grouped plantings. Field experiments reinforce these findings; for instance, the annual beach plant Cakile edentula allocates less root mass when competing with siblings versus strangers, resulting in greater total biomass for kin groups under natural soil conditions. In perennial forest understory species like Impatiens pallida, plants grow taller shoots with non-kin neighbors to outcompete for light, but show restrained height with siblings, minimizing shading among relatives. Quantitative data highlight the fitness benefits of these interactions. A of over 100 studies post-2010 reveals that consistently reduces root biomass, length, and lateral root number by approximately 8% on average (range 4-11% based on confidence intervals) when grow with siblings, thereby lowering belowground and increasing through enhanced resource access for relatives. Biomass allocation also favors kin; direct more resources to reproductive structures like when surrounded by relatives, adapting Hamilton's rule to plant currencies such as seed output rather than direct survival. These observations vary by life history: annuals like Arabidopsis and wheat primarily show root-based kin discrimination in short-term competitions, while perennials such as forest herbs exhibit both root and shoot adjustments over longer periods, potentially amplifying kin benefits in stable environments; however, kin recognition in plants remains a debated topic with mixed evidence from field and laboratory studies, potentially confounded by factors like niche partitioning. In agricultural contexts, kin-structured planting—grouping related individuals—has led to higher yields in species like quinoa (Chenopodium quinoa), where connected kin plants outperform disconnected or non-kin mixtures by reducing competitive stress.

Underlying Mechanisms

The genetic basis of kin selection in centers on /non- recognition mechanisms mediated by polymorphic genes that enable between relatives and unrelated individuals. In many species, these processes involve loci analogous to those governing , such as the S-locus genes, which detect genetic similarity through protein-protein interactions in pollen-pistil systems and extend to vegetative kin recognition via root exudates or volatile cues. Although direct homologs to animal (MHC) genes are absent in , functional equivalents exist in receptors (PRRs) and (LRR) proteins that facilitate phenotypic matching for relatedness, allowing to adjust competitive behaviors toward kin. Physiological mechanisms underlying kin selection include signaling via volatile organic compounds (VOCs) and through mycorrhizal networks. Plants release specific VOCs, such as green leaf volatiles (e.g., (Z)-3-hexen-1-ol), that signal relatedness to neighboring , prompting reduced root competition or enhanced defense priming among kin. Additionally, common mycorrhizal networks (CMNs) formed by arbuscular mycorrhizal fungi enable kin-biased transfer of nutrients like and , where connected relatives receive disproportionate resources compared to non-kin, promoting by minimizing wasteful competition. These networks act as conduits for chemical signals that reinforce preferential partitioning. Developmental aspects of kin selection manifest through in root and shoot architecture, as well as epigenetic modifications in clonal species. Roots display directed growth patterns, with kin neighbors eliciting reduced lateral branching and foraging overlap to avoid resource depletion; in rice (Oryza sativa), roots preferentially avoid non-kin, showing up to 20% less directional growth toward unrelated plants via auxin-mediated tropisms. Shoot plasticity similarly adjusts, with clonal ramets directing fewer tillers toward siblings. In clonal plants like , epigenetic changes, including at transposable elements, stabilize heritable variations that enhance kin without , allowing rapid to local kin densities during vegetative propagation. Evolutionary models of kin selection in adapt Hamilton's rule to account for clonality, where the coefficient of relatedness (r) approaches 1 for genetically identical ramets, amplifying indirect fitness benefits from altruistic traits like reduced competition. In modular clonal systems, inclusive fitness calculations incorporate asymmetric competition, predicting that kin-biased behaviors evolve when the benefit-to-cost (b/c > 1/) favors sharing among clones over individuals; simulations show clonality boosts persistence in fragmented habitats through heightened r. These models emphasize plant-specific dynamics, such as somatic mutations introducing variation within clones, which fine-tune recognition thresholds. Laboratory techniques have elucidated these mechanisms, particularly through grafting experiments and genomic analyses. Grafting kin versus non-kin scions onto shared rootstocks reveals biased nutrient flux, with related pairs transferring more carbon and minerals via vascular connections, exhibiting enhanced shoot biomass under nutrient stress. Genomic studies in the 2020s, including QTL mapping in Arabidopsis and rice populations, have identified candidate loci for recognition traits; for example, QTLs on chromosomes 2 and 5 explain 10-20% of variance in root plasticity responses to kin cues, linking to genes like AUX1 for auxin transport. These approaches confirm molecular underpinnings without relying on field variability.

Criticisms and Alternatives

Debates with Group Selection

The concept of , which posits that can act on groups of organisms to favor traits beneficial to the group at the expense of , has a contentious history in . V. C. Wynne-Edwards introduced a naive form of in 1962, arguing that behaviors regulating , such as territoriality and reduced , evolved to benefit the group's rather than individual fitness. This view faced sharp criticism from kin selection proponents, including J. Maynard Smith, who in 1964 demonstrated through mathematical models that such group-benefiting traits would be undermined by within-group competition among selfish individuals, rendering naive implausible. Later refinements, such as David S. Wilson's 1975 trait-group model, proposed that selection could operate on temporary assemblages of individuals where altruists might persist if groups form and disband frequently enough to allow between-group differences to influence overall evolution. Kin selection, centered on Hamilton's rule, explains through genetic relatedness among interactors, and it is often viewed as a special case of multi-level selection theory when groups exhibit kin structure. In kin-structured populations, the assortment of similar genotypes mimics group-level effects, making the two approaches mathematically equivalent under conditions of limited dispersal and relatedness. A major debate erupted with Martin A. Nowak, Corina E. Tarnita, and Edward O. Wilson's 2010 paper on the , which argued that standard kin selection models fail to explain the origins of advanced in and advocated multi-level selection on group traits like division of labor and nest founding as more robust. This claim reignited , with critics contending that the paper misrepresented kin selection's and overlooked its compatibility with multi-level frameworks. Key arguments in the debate highlight shifting perspectives among prominent researchers. Edward O. Wilson, initially a kin selection advocate in the 1960s and 1970s, moved toward emphasizing in human evolution during 2005–2010, suggesting in works like his collaboration with Nowak that cultural and group-level dynamics in Homo sapiens transcend genetic relatedness. Responses, such as that from Andy Gardner, Stuart A. West, and G. Wild in 2011, countered by formalizing the equivalence of kin and group selection approaches, showing they yield identical predictions when accounting for assortment via relatedness or other mechanisms. Formal comparisons often invoke the Price equation, which partitions evolutionary change into within- and between-group components, revealing how selection at the individual level (emphasized in kin selection) versus the group level (in multi-level models) depends on covariance between traits and fitness. Kin selection captures most cases through relatedness-induced assortment, but group selection may add explanatory power in scenarios involving non-genetic assortment, such as cultural similarity or spatial clustering beyond kinship, where between-group variance drives trait evolution independently. In recent years, 2024 eco-evo-devo theories have begun integrating kin and group selection by incorporating developmental plasticity and environmental feedbacks, offering a unified view of social evolution that bridges genetic and phenotypic levels.

Empirical and Theoretical Objections

Empirical challenges to primarily stem from the practical difficulties in accurately measuring the key parameters of Hamilton's rule—relatedness (), benefit to the recipient (), and to the actor (C)—in natural populations. In wild animal groups, assessing genetic relatedness often requires detailed multigenerational pedigrees, which are rarely available, leading to reliance on genetic markers that can introduce estimation errors, especially in species with complex mating systems or high dispersal rates. These measurement issues complicate tests of whether observed satisfies the condition rB > C, as imprecise values of r can obscure or inflate apparent kin biases in . Furthermore, some documented cases of appear to lack detectable kin bias, challenging the universality of kin selection as the primary driver. For instance, female vampire bats (Desmodus rotundus) engage in food sharing with non-kin roost-mates, expanding their social networks and promoting reciprocal help without evident preferential treatment based on genetic relatedness. Such non-kin suggests that other mechanisms, like mutualism or reciprocity, may sustain independently of kinship in certain contexts. Theoretical objections highlight limitations in the foundational assumptions of kin selection models. A core issue is the violation of additivity in genic effects, where interactions among alleles lead to that alters fitness effects as allele frequencies change, potentially invalidating simple calculations. Canonical kin selection approaches often assume , but non-additivity introduces density- and frequency-dependent dynamics that can complicate predictions about the spread of altruistic traits. Another concern is the of the "greenbeard" mechanism, where a causes its bearer to recognize and preferentially others carrying the same (regardless of overall relatedness); this is prone to collapse due to the of cheater mutants that display the recognition signal but withhold , eroding over time. between the recognition and behavioral components of greenbeard s can break down, allowing "falsebeard" cheaters to exploit altruists and destabilize the trait. In humans, kin selection faces specific objections related to cultural influences that appear to override genetic imperatives. Practices like the widespread of non-relatives in many societies suggest that cultural norms and emotional attachments can promote toward unrelated individuals, diminishing the predictive power of relatedness-based models for . Additionally, reciprocity often confounds kin effects in human interactions, as helping behaviors toward kin may stem from expectations of future returns rather than maximization, making it challenging to isolate pure kin selection. For example, experimental studies indicate that cues can mask reciprocal motivations, with aid to relatives potentially serving as a proxy for building alliances that extend beyond genetic ties. Responses to these objections include theoretical refinements that address non-additivity and partitioning effects. Inclusive fitness partitioning, as formalized by Taylor et al., decomposes an individual's fitness into direct and indirect components while accounting for competitive interactions among relatives, providing a more robust framework for modeling kin selection under realistic population structures. Meta-analyses from the 2010s have also bolstered the empirical case for kin selection by demonstrating consistent kin biases in altruism across taxa, even after controlling for reciprocity; for instance, a comprehensive review of primate grooming found that kinship explains a significant portion of cooperative patterns beyond reciprocal exchanges. These analyses affirm kin selection's role without negating other mechanisms. Early formulations of kin selection overemphasized as a key of in , attributing high sister relatedness (r=0.75) under this system to the of worker castes; however, subsequent phylogenetic analyses reveal mixed support, with arising in diploid taxa as well, indicating that is neither necessary nor sufficient. Post-2010 empirical rebuttals to broader criticisms have further clarified kin selection's validity through field studies and simulations that validate its predictions in diverse systems, countering claims of theoretical inadequacy.

Recent Developments

Generalized Hamilton's Rule

A landmark study in 2025 proposed a generalized version of Hamilton's rule that accommodates nonlinear and higher-order effects in fitness, resolving long-standing debates about its applicability by deriving a set of condition-specific rules from the generalized Price equation. This framework incorporates "messy" relatedness, such as partial kin discrimination in partner choice, through flexible p-scores (proportion of actor's alleles in recipients) and q-scores (proportion of recipient's alleles in actor), extending earlier Queller and Taylor formulations by nesting the classical rB > C condition within regression-based rules that include interaction terms like β_{1,1} p_i q_i. For instance, the general rule takes the form of the regression variant of the Price equation: \bar{w} \Delta \bar{p} = \sum_r \hat{\beta}_r \Cov(p, p^r) + E(w \Delta p), where \hat{\beta}_r are estimated regression coefficients capturing benefits and costs across relatedness orders, allowing the model to handle non-additive genetic effects without assuming additivity. Extensions to multi-locus models address non-additive effects, such as or , by incorporating quadratic fitness functions like w_i = α + β_1 p_i + β_2 p_i^2 + ε_i, where the squared term accounts for or synergies in allelic contributions to . In environments, the generalized rule modifies the inequality to include variance terms, such as \hat{β}_1 \Var(p) + \hat{β}_2 \Cov(p, p^2), reflecting how environmental noise and population variability influence the evolution of beyond deterministic expectations. These updates build on prior work, including a 2021 analysis showing that alters the threshold for by integrating expected benefits with variance in . Formal advancements further integrate assortment coefficients into inclusive fitness calculations, as seen in 2023 models of directional selection that couple kin effects to aging dynamics, where strong spatial assortment (e.g., via limited dispersal) favors senescence when rB > C holds across age classes in spatially explicit populations. In these derivations, assortment is quantified through regression slopes \hat{β}_{k,l} that link an actor's genotype to recipients' phenotypes, enabling precise predictions for traits like delayed reproduction in kin-structured groups. Applications of the generalized rule have clarified evolution by modeling frequency-dependent fitness in sex-biased systems, such as , where nonlinear terms resolve why workers forgo direct under partial relatedness. Simulations in the 2025 study, using artificial datasets with varying compositions, demonstrate the rule's robustness, recovering true coefficients (e.g., \hat{β}_1 ≈ 0.982 for β_1 = 1) even under violations of classical assumptions like weak selection or additivity. These mathematical derivations, supported by examples like quadratic in viscous populations, underscore the framework's utility in capturing realistic evolutionary scenarios.

Emerging Applications

Recent models have applied kin selection to the of aging, demonstrating that in viscous populations—where individuals interact primarily with relatives—kin selection can favor the of as an adaptive trait. A 2023 study in BMC Biology developed a spatially explicit model showing that when combines with kin selection, evolves by enhancing through optimized help to relatives, despite reducing individual lifespan (e.g., from ~12 to ~2.5 generations). This framework highlights how population structure influences aging dynamics in social species. In , kin selection principles inform strategies for designing crops to boost yields by minimizing among related plants. A 2022 review in Evolutionary Applications outlined how kin-structured planting, such as grouping siblings in fields, reduces root and promotes resource sharing, leading to higher overall compared to mixed-genotype stands. For instance, by leveraging greenbeard-like mechanisms, farmers can engineer plots where plants preferentially allocate resources to relatives, echoing natural kin-biased interactions observed in wild populations. Partner choice mechanisms incorporating kin have emerged as a key application, enhancing the of beyond traditional viscosity assumptions. A 2025 analysis in Evolution mathematically demonstrated that individuals able to select kin as social or partners increase the average level of helping behaviors, as discriminators reliably aid close relatives and avoid exploitation by non-kin. This extends Hamilton's rule by incorporating active assortment, potentially stabilizing in structured environments like animal societies. In microbial ecology, kin selection drives cooperative behaviors within biofilms, where high relatedness facilitates public goods production. A 2023 study in Evolution Letters on natural Bacillus subtilis populations found signatures of kin selection at cooperative genes, with average relatedness of 0.79 promoting matrix production essential for biofilm stability and resistance to environmental stress. Similarly, a 2022 PNAS investigation confirmed that kin selection favors in bacterial communities, including biofilm formers, by maintaining high local relatedness despite potential cheater invasion. These applications are enabled by extensions like the generalized Hamilton's rule, which accommodates non-additive fitness effects and partner choice to model real-world complexities. In conservation, close-kin mark-recapture methods inform population assessments to support strategies that preserve genetic and social structures enhancing survival through kin interactions. Recent 2025 empirical studies have tested kin selection in novel contexts, such as human generalization of kin categories showing predictive structure in social preferences, and found no evidence for kin selection explaining group formation in cooperatively breeding birds, refining its applicability in .

References

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