Modularity and Integration

Assis, Ana Paula A.; Costa, Barbara M. A.; Rossoni, Daniela M.; Melo, Diogo; Marroig, Gabriel

doi:10.1016/b978-0-12-800049-6.00044-5

Cited by 2 publications

(2 citation statements)

References 56 publications

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“…Second, genetic correlations can increase the time needed for mutualistic partners to achieve trait matching. Higher correlation between traits can slow down the rate of coevolutionary change and increase the time needed to reach an adaptive peak (Arnold et al ., 2008; Assis et al ., 2016). In nature, populations are seldom at an adaptive peak because adaptive landscapes are continually reorganised due to environmental change (Sæther and Engen, 2015) or evolutionary feedbacks caused by ecological interactions, such as red queen dynamics (Van Valen, 1973) and coevolutionary indirect effects (Guimarães et al ., 2017).…”

Section: Discussionmentioning

confidence: 99%

Genetic correlations and ecological networks shape coevolving mutualisms

et al. 2020

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Ecological interactions shape the evolution of multiple species traits in populations. These traits are often linked to each other through genetic correlations, affecting how each trait evolves through selection imposed by interacting partners. Here, we integrate quantitative genetics, coevolutionary theory and network science to explore how trait correlations affect the coevolution of mutualistic species not only in pairs of species but also in species‐rich networks across space. We show that genetic correlations may determine the pace of coevolutionary change, affect species abundances and fuel divergence among populations of the same species. However, this trait divergence promoted by genetic correlations is partially buffered by the nested structure of species‐rich mutualisms. Our study, therefore, highlights how coevolution and its ecological consequences may result from conflicting processes at different levels of organisation, ranging from genes to communities.

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Section: Discussionmentioning

confidence: 99%

Genetic correlations and ecological networks shape coevolving mutualisms

et al. 2020

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“…The genetic architecture of traits is the amount of additive genetic variance of a given trait and the covariation among traits (Lande, 1979). Thus, the response of a population to selection depends not only upon selection -its direction and magnitude -but also upon the population-level genetic architecture underlying traits (Assis et al, 2016b;Milot et al, 2020). The nature of the association between traits, i.e., the strength and sign of the association, may impact not only the ability of a population to respond to diversified selective pressures but also their ability to interact with a diversity of other species.…”

Section: Introductionmentioning

confidence: 99%

Reduced evolutionary potential of a frugivorous bird species in fragmented forests

et al. 2022

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Morphological attributes are important in determining the success of ecological interactions, such as the interactions between fleshy fruited plants and their seed dispersers. Morphological traits can present high levels of intraspecific variation both within and across populations. Such variation will not only mediate which interactions can be established locally but also the potential for populations to respond to perturbations and selective pressure. Here, we investigated patterns of morphological variation (body weight and beaks’ traits) among different populations of blue manakin (Chiroxiphia caudata), in the highly fragmented Atlantic Forest, Brazil, both in terms of mean trait values – that might mediate interactions locally – and in their habitat-level variation which influences their evolutionary potential. Using metrics of evolutionary potential derived from quantitative genetics theory, we hypothesized that ecological stress would lead to a decline in the overall evolutionary potential in manakin populations. We found that populations differ slightly in their mean morphological attributes, with the exception of a population that occurs in temperate Araucaria forests. Nevertheless, we found a striking difference in the evolutionary potential of populations from different vegetation types. Specifically, populations that occur in ecological stress areas, Araucaria forests, and forest fragments immersed in savanna presented a smaller overall and conditional evolvability, suggesting their lower ability to respond in the direction of selection. This pattern might have important implications for the role of this species as seed disperser, as populations under stress may lack morphological variation (and covariation) that can be important to allow a given population to disperse seeds of multiple types of fruits. Moreover, a smaller evolvability might impact the potential of these populations to persist and perform their ecosystem services in face of environmental changes.

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Modularity and Integration

Cited by 2 publications

References 56 publications

Genetic correlations and ecological networks shape coevolving mutualisms

Genetic correlations and ecological networks shape coevolving mutualisms

Reduced evolutionary potential of a frugivorous bird species in fragmented forests

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