Acquisition and Allocation of Resources: Genetic (CO) Variances, Selection, and Life Histories

Jong, G. de; Noordwijk, Arie J. van

doi:10.1086/285356

Cited by 282 publications

(208 citation statements)

References 25 publications

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“…Houle (1991), for instance, has developed a model that distinguishes among loci affecting allocation versus acquisition of a limiting resource. And finally, genetic correlation is not a reliable indicator of constraint (Charlesworth 1990;Houle 1991;de Jong and van Noordwijk 1992). Genetic constraint can be present in the absence of genetic correlation.…”

Section: Discussionmentioning

confidence: 99%

Unpredictability of Correlated Response to Selection: Pleiotropy and Sampling Interact

Gromko

1995

Evolution

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Abstract.-Given a set of loci that contribute additive genetic variation for a trait being selected, the pleiotropic effects of these loci on a second trait may vary. I simulated selection on genetic systems having different combinations of pleiotropic effects to investigate the variability of correlated responses to selection. The simulation shows that there are many possible combinations of pleiotropic effects that are characterized by the same value of the genetic correlation; the genetic correlation does not uniquely determine a set of pleiotropic effects. Furthermore, for a given value of the genetic correlation, differences in pleiotropic effects have a substantial impact on the variation in correlated responses. Some combinations of pleiotropic effects constrain correlated response to a narrow range of possible values; others allow a wide range, including some correlated responses in a direction opposite the sign of the genetic correlation. The genetic correlation is not a reliable predictor of pleiotropic constraint. Whereas it has been previously established that genetic correlations are not necessarily constraints, the alternative is also true: correlated response can be strictly constrained despite a genetic correlation of zero. Given the frequency of correlated responses in a direction opposite to the one predicted by the genetic correlation, it follows that correlated response is not a reliable predictor of genetic correlation in the base population.

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Section: Discussionmentioning

confidence: 99%

Unpredictability of Correlated Response to Selection: Pleiotropy and Sampling Interact

Gromko

1995

Evolution

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“…We introduce a resource-dependent trade-off between recovery and reproduction, and then determine how hosts allocate resources to these two traits. We assume a linear trade-off function between the amount of resources available to reproduction versus immunity, as in the classic Y-model for resource allocation (de Jong and van Noordwijk, 1992). The host-parasite interaction model that we discuss here focuses on the population dynamics of the host rather than the parasite, as we are interested in the evolution of the host's resource allocation strategy.…”

Section: Model Descriptionmentioning

confidence: 99%

The unavoidable costs and unexpected benefits of parasitism: Population and metapopulation models of parasite-mediated competition

Kuo

Corby‐Harris

Promislow

2008

Journal of Theoretical Biology

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When faced with limited resources, organisms have to determine how to allocate their resources to maximize fitness. In the presence of parasites, hosts may be selected for their ability to balance between the two competing needs of reproduction and immunity. These decisions can have consequences not only for host fitness, but also for the ability of parasites to persist within the population, and for the competitive dynamics between different host species. We develop two mathematical models to investigate how resource allocation strategies evolve at both population and metapopulation levels. The evolutionarily stable strategy (ESS) at the population level is a balanced investment between reproduction and immunity that maintains parasites, even though the host has the capacity to eliminate parasites. The host exhibiting the ESS can always invade other host populations through parasite-mediated competition, effectively using the parasites as biological weapons. At the metapopulation level, the dominant strategy is sometimes different from the population-level ESS, and depends on the ratio of local extinction rate to host colonization rate. This study may help to explain why parasites are as common as they are, and can serve as a modeling framework for investigating parasite-mediated ecological invasions. Furthermore, this work highlights the possibility that the 'introduction of enemies' process may facilitate species invasion.

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“…Such evidence has been found for height !11! and growth [10] in mice and on fruit weight in tomatos [14, 35! [12,13,41] [9,20] or subdivided [44] [45] and Malecot (30!, the general expression for covariances between relatives was first derived by Cockerham [5] and Kempthorne [25,26] under the assumptions of random mating and linkage equilibrium. The case of linked loci was investigated later by Cockerham [6] and Schnell (36!.…”

mentioning

confidence: 99%

Another look at multiplicative models in quantitative genetics

Dillmann¹,

Foulley²

1998

Genet. Sel. Evol.

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Acquisition and Allocation of Resources: Genetic (CO) Variances, Selection, and Life Histories

Cited by 282 publications

References 25 publications

Unpredictability of Correlated Response to Selection: Pleiotropy and Sampling Interact

Unpredictability of Correlated Response to Selection: Pleiotropy and Sampling Interact

The unavoidable costs and unexpected benefits of parasitism: Population and metapopulation models of parasite-mediated competition

Another look at multiplicative models in quantitative genetics

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