Meta-analysis and sexual selection: past studies and future possibilities

The action of sexual selection is highly variable among taxa. This creates challenges when trying to generalize (e.g. determine if a particular relationship exists based on its average strength, or if it varies in response to theoretically relevant factors). Consequently, accounting for moderating factors is likely to be crucial to explain differences in sexual selection among studies. In principle, given measures of key theoretical parameters we can predict the strength of sexual selection on different sexual signals, the benefits of mate choice, the extent of sex differences (e.g. in immune function or survival) and the likely life history trade-offs between investment into different sexual traits (e.g. sperm vs. courtship) or non-sexual traits (e.g. immune function, traits that increase longevity, parental care). How well does empirical data support theoretical expectations? First, we provide a short history of the use of meta-analysis in sexual selection studies. We present a table summarizing 94 meta-analyses that have asked questions about sexual selection or allied topics of interest to those studying sexual selection (e.g. the link between heterozygosity and fitness). Second, we list the main ways that meta-analysis has been used in sexual selection work and provide illustrative examples. Third, we provide practical advice to identify questions that are ripe for meta-analysis. We highlight 11 sexual selection topics where meta-analyses are needed (e.g. there are no meta-analyses testing game theory models of fighting contests). Finally, we discuss some general issues that will arise as the use of meta-analysis in sexual selection studies becomes more sophisticated.     

The sexual selection continuum

The evolution of mate choice for genetic benefits has become the tale of two hypotheses: Fisher's 'run-away' and 'good genes', or viability indicators. These hypotheses are often pitted against each other as alternatives, with evidence that attractive males sire more viable offspring interpreted as support for good genes and with a negative or null relationship between mating success of sons and other components of fitness interpreted as favouring the Fisher process. Here, we build a general model of female choice for indirect benefits that captures the essence of both the 'Fisherian' and 'good-genes' models. All versions of our model point to a single process that favours female preference for males siring offspring of high reproductive value. Enhanced mating success and survival are therefore equally valid genetic benefits of mate choice, but their relative importance varies depending on female choice costs. The relationship between male attractiveness and survival may be positive or negative, depending on life-history trade-offs and mating skew. This relationship can change sign in response to increased costliness of choice or environmental change. Any form of female preference is subject to self-reinforcing evolution, and any relationship (or lack thereof) between male display and offspring survival is inevitably an indicator of offspring reproductive values. Costly female choice can be maintained with or without higher offspring survival.     

Cyclic variation in seasonal recruitment and the evolution of the seasonal decline in Ural owl clutch size

Plastic life-history traits can be viewed as adaptive responses to environmental conditions, described by a reaction norm. In birds, the decline in clutch size with advancing laying date has been viewed as a reaction norm in response to the parent's own (somatic or local environmental) condition and the seasonal decline in its offspring's reproductive value. Theory predicts that differences in the seasonal recruitment are mirrored in the seasonal decrease in clutch size. We tested this prediction in the Ural owl. The owl's main prey, voles, show a cycle of low, increase and peak phases. Recruitment probability had a humped distribution in both increase and peak phases. Average recruitment probability was two to three times higher in the increase phase and declined faster in the latter part of the season when compared with the peak phase. Clutch size decreased twice as steep in the peak (0.1 eggs day-1) as in the increase phase (0.05 eggs day-1). This result appears to refute theoretical predictions of seasonal clutch size declines. However, a re-examination of current theory shows that the predictions of modelling are less robust to details of seasonal condition accumulation in birds than originally thought. The observed pattern can be predicted, assuming specifically shaped seasonal increases in condition across individuals.     

Modelling sexual segregation in ungulates: effects of group size, activity budgets and synchrony

Sexual segregation is common in ungulates and some social mammals but its causes are still poorly understood. We developed an individual-based, spatially explicit simulation model to test whether sexual differences in activity could lead to sexual segregation. In our model, males and females differed only in their propensity to switch from an active to a passive state and vice versa, with males being more reluctant to get up and more ready to lie down than the more active females, or vice versa. The only factor in our model that affected sexual segregation was the sexual difference in the propensity to switch from an active to a passive state and vice versa. As differences in activity budgets increased, the degree of sexual segregation increased. Sexual segregation reached a peak when sexual differences in activity budgets were greatest. This high level of segregation remained, even when animals were programmed to adjust their activity to other animals in their vicinity. Our results verify the logic of the activity budget hypothesis that sexual differences in time spent active (grazing, walking) versus passive (lying, ruminating) can, in principle, result in sexual segregation. However, this does not exclude alternative mechanisms. Our model could also be applied to any social animal foraging in groups. Copyright 2002 The Association for the Study of Animal Behaviour. Published by Elsevier Science Ltd. All rights reserved.     

PR-10 protein is induced by copper stress in roots and leaves of a Cu/Zn tolerant clone of birch, Betula pendula

The response of a Cu- and Zn-tolerant birch ( Betula pendula ) clone to copper stress was investigated. The plants were exposed to control and EC50 concentrations of Cu (0·3 and 30 μ M CuSO₄, respectively) for 7 d in hydroponic culture. Total proteins were extracted from the roots and leaves and separated by two-dimensional polyacrylamide gel electrophoresis. The differences in protein patterns on silver- or Coomassie-stained gels were analysed. The most apparent quantitative difference was the increase in the amount of a 17 kDa polypeptide caused by Cu stress in both roots and leaves. The protein was identified as Bet v 1-Sc3 (according to the current nomenclature PR-10c) using N-terminal amino acid sequencing and on-line high-performance liquid chromatography/electrospray ionization/ion trap mass spectrometry. The present results indicate that PR-10 is not only activated by pathogens but also by excessive amounts of copper ions. PR-10 proteins in birch have been reported earlier not to be induced by Ag, Li or Cd in birch suspension culture, but Cu has not been previously tested.     

Fisherian and “good genes” benefits of mate choice: how (not) to distinguish between them

“Good genes” models of mate choice are commonly tested by examining whether attractive males sire offspring with improved survival. If offspring do not survive better (or indeed survive less well), but instead inherit the attractiveness of their father, results are typically interpreted to support the Fisherian process, which allows the evolution of preferences for arbitrary traits. Here, I show that the above view is mistaken. Because of life‐history trade‐offs, an attractive male may perform less well in other components of fitness. A female obtains a “good genes” benefit whenever males show heritable variation in quality, even if high‐quality males invest so much in sexual advertisement that attractiveness has no positive correlation with any other life‐history trait than male mating success itself. Therefore, a negative correlation between attractiveness and viability does not falsify good genes, if mating with a high‐quality male results on average in superior offspring performance (mating success of sons included). The heritable “good genes” benefit can be sustained even if sexually antagonistic genes cause female offspring sired by high‐quality males to survive and reproduce less well. Neglecting the component of male mating success from measurements of fitness returns from sons and daughters will bias the advantage of mating with a high‐quality male downwards. This result may partly account for the rather weak “good genes” effects found in a recent meta‐analysis.     

Models of social evolution: can we do better to predict ‘who helps whom to achieve what’?

Models of social evolution and the evolution of helping have been classified in numerous ways. Two categorical differences have, however, escaped attention in the field. Models tend not to justify why they use a particular assumption structure about who helps whom: a large number of authors model peer-to-peer cooperation of essentially identical individuals, probably for reasons of mathematical convenience; others are inspired by particular cooperatively breeding species, and tend to assume unidirectional help where subordinates help a dominant breed more efficiently. Choices regarding what the help achieves (i.e. which life-history trait of the helped individual is improved) are similarly made without much comment: fecundity benefits are much more commonly modelled than survival enhancements, despite evidence that these may interact when the helped individual can perform life-history reallocations (load-lightening and related phenomena). We review our current theoretical understanding of effects revealed when explicitly asking ‘who helps whom to achieve what’, from models of mutual aid in partnerships to the very few models that explicitly contrast the strength of selection to help enhance another individual''s fecundity or survival. As a result of idiosyncratic modelling choices in contemporary literature, including the varying degree to which demographic consequences are made explicit, there is surprisingly little agreement on what types of help are predicted to evolve most easily. We outline promising future directions to fill this gap.     

Territorial defense, territory size, and population regulation

The carrying capacity of an environment is determined partly by how individuals compete over the available resources. To territorial animals, space is an important resource, leading to conflict over its use. We build a model where the carrying capacity for an organism in a given environment results from the evolution of territorial defense effort and the consequent space use. The same evolutionary process can yield two completely different modes of population regulation. Density dependence arises through expanding and shrinking territories if fecundity is low, breeding success increases gradually with territory size, and/or defense is cheap. By contrast, when fecundity is high, breeding success sharply saturates with territory size, and/or defense is costly, we predict fixed territory sizes and regulation by floaters. These "surplus" individuals form a buffer against population fluctuations. Yet floaters can also harm breeder performance, and by comparing population growth of a territorial population to a nonterritorial (and individually suboptimal) alternative, we can quantify the harmful effect of evolutionary conflict on population performance. Territoriality has often been found to increase population stability, but this may come at a cost of reduced equilibrium densities.     

The evolution of cooperative breeding through group augmentation

Some individuals (helpers) in cooperatively breeding species provide alloparental care and often suppress their own reproduction. Kin selection is clearly an important explanation for such behaviour, but a possible alternative is group augmentation where individuals survive or reproduce better in large groups and where it therefore pays to recruit new members to the group. The evolutionary stability of group augmentation is currently disputed. We model evolutionarily stable helping strategies by following the dynamics of social groups with varying degrees of subordinate help. We also distinguish between passive augmentation, where a group member benefits from the mere presence of others, and active augmentation, where their presence as such is neutral or harmful, but where helping to recruit new group members may still be beneficial if they in turn actively provide help for the current reproductives ('delayed reciprocity'). The results show that group augmentation (either passive or active) can be evolutionarily stable and explain costly helping by non-reproductive subordinates, either alone or leading to elevated help levels when acting in concert with kin selection. Group augmentation can thus potentially explain the weak relationships between relatedness and helping behaviour that are observed in some cooperatively breeding species. In some cases, the superior mutualistic performance of cooperatively behaving groups can generate an incentive to stay and help which is strong enough to make ecological constraints unnecessary for explaining the stability of cooperatively breeding groups.     

Human Nek6 is a monomeric mostly globular kinase with an unfolded short N-terminal domain

Background  

The NIMA-related kinases (Neks) are widespread among eukaryotes. In mammalians they represent an evolutionarily conserved family of 11 serine/threonine kinases, with 40-45% amino acid sequence identity to the Aspergillus nidulans mitotic regulator NIMA within their catalytic domains. Neks have cell cycle-related functions and were recently described as related to pathologies, particularly cancer, consisting in potential chemotherapeutic targets. Human Nek6, -7 and -9 are involved in the control of mitotic spindle formation, acting together in a mitotic kinase cascade, but their mechanism of regulation remain elusive.