| Literature DB >> 35730152 |
Alberto J C Micheletti1,2, Erhao Ge1, Liqiong Zhou3, Yuan Chen1, Hanzhi Zhang1, Juan Du3, Ruth Mace1.
Abstract
The influence of inclusive fitness interests on the evolution of human institutions remains unclear. Religious celibacy constitutes an especially puzzling institution, often deemed maladaptive. Here, we present sociodemographic data from an agropastoralist Buddhist population in western China, where parents sometimes sent a son to the monastery. We find that men with a monk brother father more children, and grandparents with a monk son have more grandchildren, suggesting that the practice is adaptive. We develop a model of celibacy to elucidate the inclusive fitness costs and benefits associated with this behaviour. We show that a minority of sons being celibate can be favoured if this increases their brothers' reproductive success, but only if the decision is under parental, rather than individual, control. These conditions apply to monks in our study site. Inclusive fitness considerations appear to play a key role in shaping parental preferences to adopt this cultural practice.Entities:
Keywords: celibacy; cultural behaviours; inclusive fitness; institutions; parent–offspring conflict; sibling competition
Mesh:
Year: 2022 PMID: 35730152 PMCID: PMC9233928 DOI: 10.1098/rspb.2022.0965
Source DB: PubMed Journal: Proc Biol Sci ISSN: 0962-8452 Impact factor: 5.530
Figure 1Sociodemographic analysis: reproductive success. Results of the multilevel Poisson regression models indicating that (a) men with at least one monk brother have more offspring than men whose brothers are not monks but have similar number of children to only sons; (b) women with and without a monk brother have similar numbers of offspring; (c) men with a monk son have more grandchildren than those without. Error bars represent 95% confidence intervals calculated by nonparametric bootstrap. (d) Kaplan–Meier curve showing that women with at least one monk brother-in-law have an earlier age at first birth than women whose brothers-in-law are not monks. Shaded areas represent 95% confidence intervals. (Online version in colour.)
Reproductive success of monk fathers (best fitting model). Parameter details for the best fitting model of determinants of the number of living grandchildren for 2269 men (Model 3 in electronic supplementary material, table S13). Key variable in bold type.
| variable | estimate | 95% CI | ||
|---|---|---|---|---|
| (intercept) | 1.308 | (0.868, 1.747) | 5.832 | <0.001 |
| ref: ≥1950 | ||||
| birth year cohort | ||||
| 1951–1960 | 0.146 | (0.065, 0.227) | 3.553 | <0.001 |
| 1961–1970 | 0.025 | (−0.058, 0.109) | 0.591 | 0.555 |
| 1971–1980 | −1.498 | (−1.693, −1.304) | −15.098 | <0.001 |
| wealth | 0.027 | (−0.004, 0.059) | 1.698 | 0.09 |
| distance to town | −0.012 | (−0.021, −0.004) | −2.917 | 0.004 |
| ref: 1 offspring | ||||
| 2 offspring | −0.094 | (−0.199, 0.010) | −1.775 | 0.076 |
| 3+ offspring | −0.09 | (−0.163, −0.017) | −2.415 | 0.016 |
| ref: 0 monk sons | ||||
| random factor Village (variance) | 0.001 |
Figure 2Inclusive fitness model: celibacy. (a) Marginal cost of becoming a monk (solid line) and marginal benefit for three values of η (dashed, dot–dashed and dotted lines) as a function of the population frequency of monks, . Purple dots represent convergence-stable levels of male celibacy under parental control, i.e. values of x* for which evaluated at . (b) Convergence-stable levels of male celibacy, x*, as a function of the extent of the competitiveness boost for lay brothers, η, under parental control (purple) and individual control (brown). For the purposes of illustration, we consider a case where celibates provide benefits to paternal brothers, we consider probability of competing and competitiveness in both panels, and we assume dm = 0.20 and η = 0.50 in panel (a). (Online version in colour.)