| Literature DB >> 20591868 |
Rufus A Johnstone1, Michael A Cant.
Abstract
Human females stop reproducing long before they die. Among other mammals, only pilot and killer whales exhibit a comparable period of post-reproductive life. The grandmother hypothesis suggests that kin selection can favour post-reproductive survival when older females help their relatives to reproduce. But although there is an evidence that grandmothers can provide such assistance, it is puzzling why menopause should have evolved only among the great apes and toothed whales. We have previously suggested (Cant & Johnstone 2008 Proc. Natl Acad. Sci. USA 105, 5332-5336 (doi:10.1073/pnas.0711911105)) that relatedness asymmetries owing to female-biased dispersal in ancestral humans would have favoured younger females in reproductive competition with older females, predisposing our species to the evolution of menopause. But this argument appears inapplicable to menopausal cetaceans, which exhibit philopatry of both sexes combined with extra-group mating. Here, we derive general formulae for 'kinship dynamics', the age-related changes in local relatedness that occur in long-lived social organisms as a consequence of dispersal and mortality. We show that the very different social structures of great apes and menopausal whales both give rise to an increase in local relatedness with female age, favouring late-life helping. Our analysis can therefore help to explain why, of all long-lived, social mammals, it is specifically among the great apes and toothed whales that menopause and post-reproductive helping have evolved.Entities:
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Year: 2010 PMID: 20591868 PMCID: PMC2992708 DOI: 10.1098/rspb.2010.0988
Source DB: PubMed Journal: Proc Biol Sci ISSN: 0962-8452 Impact factor: 5.349
Figure 1.Age-specific local relatedness under different patterns of mating and dispersal. The mean relatedness to a breeding female of other females (solid lines), and of other males (dotted lines) in her group, is plotted as a function of her age. The dashed curves show mean relatedness to a female of other breeders, averaging across both sexes. We scale age relative to the mean generation time of the population (so that a value of one on the horizontal axis corresponds to a = 1/μf). (a) Relatedness when mating occurs locally (m = 1), for all combinations of low (0.15) and high (0.85) female and male dispersal rates (df = dm = 0.15; df = 0.15, dm = 0.85; df = 0.85, dm = 0.15; df = dm = 0.85). (i) low female, low male dispersal; (ii) high female, low male dispersal; (iii) low female, high male dispersal; and (iv) high female, high male dispersal. (b) Relatedness when mating occurs outside the group (m = 0), again for all combinations of low and high female and male dispersal rates. (i) low female, low male dispersal; (ii) high female, low male dispersal; (iii) low female, high male dispersal; and (iv) high female, high male dispersal. In all cases, μf = μm = 0.1 and nf = nm = 3; we assume a small number of breeders because the group with which we will be concerned comprises only those directly affected by an individual female's reproductive decisions; in humans, for instance, we might focus on the ‘household’ or extended family unit, since post-reproductive grandmothers are of help chiefly to relatives (Sear ; Voland & Beise 2002; Lahdenperä ) and resources are preferentially shared within the family and with closer kin outside it (Kaplan & Hill 1985; Gurven 2004, 2006). The qualitative patterns shown, however, are unaffected by sex-differences in mortality or in the number of breeders per group.
Figure 2.Age-specific kin selection under different patterns of mating and dispersal. The graphs show the absolute magnitude of the ratio c/b below which a social action may be favoured in females of different ages, in three illustrative cases: (a), dispersal is male-biased (df = 0.15, dm = 0.85) and mating is local (m = 1), yielding a decrease in local relatedness with female age; (b), dispersal is female-biased (df = 0.85, dm = 0.15) and mating is local (m = 1), yielding an increase in local relatedness with female age; and (c), neither sex disperses (df = dm = 0) but mating is non-local (m = 0), again yielding an increase in local relatedness with female age. Positive values indicate that selection will favour helping behaviour when c/b falls above zero but below the value shown (in the lightly shaded area), while negative values indicate that selection will favour harming behaviour when c/b falls below zero but above the value shown (in the heavily shaded area). Where mating occurs locally, helping and harming behaviours affect the number of offspring produced jointly by local males and females. Where mating occurs outside the group, however, helping and harming behaviour might impact on the number of offspring produced within the group by local females, or on the number of offspring sired outside the group by local males. For simplicity, we have assumed in this case that help or harm is evenly distributed between male and female recipients. In fact, the model predicts that selection will favour helping of males rather than females, because production of additional offspring within the group intensifies local competition for breeding vacancies. Whether or not help is directed preferentially at males, however, does not change the fact that selection favours harming less strongly and/or helping more strongly in older individuals.