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Most aspects of the molecular biology of cells involve tightly coordinated intermolecular interactions requiring specific recognition at the nucleotide and/or amino acid levels. This has led to long-standing interest in the degree to which constraints on interacting molecules result in conserved vs. accelerated rates of sequence evolution, with arguments commonly being made that molecular coevolution can proceed at rates exceeding the neutral expectation. Here, a fairly general model is introduced to evaluate the degree to which the rate of evolution at functionally interacting sites is influenced by effective population sizes ( N e ), mutation rates, strength of selection, and the magnitude of recombination between sites. This theory is of particular relevance to matters associated with interactions between organelle- and nuclear-encoded proteins, as the two genomic environments often exhibit dramatic differences in the power of mutation and drift. Although genes within low N e environments can drive the rate of evolution of partner genes experiencing higher N e , rates exceeding the neutral expectation require that the former also have an elevated mutation rate. Testable predictions, some counterintuitive, are presented on how patterns of coevolutionary rates should depend on the relative intensities of drift, selection, and mutation.
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Recombination Rate Variation in Social Insects: An Adaptive Perspective
Social insects have the highest rates of meiotic recombination among Metazoa, but there is considerable variation within the Hymenoptera. We synthesize the literature to investigate several hypotheses for these elevated recombination rates. We reexamine the long-standing Red Queen hypothesis, considering how social aspects of immunity could lead to increases in recombination. We examine the possibility of positive feedback between gene duplication and recombination rate in the context of caste specialization. We introduce a novel hypothesis that recombination rate may be driven up by direct selection on recombination activity in response to increases in lifespan. Finally, we find that the role of population size in recombination rate evolution remains opaque, despite the long-standing popularity of this hypothesis. Moreover, our review emphasizes how the varied life histories of social insect species provide an effective framework for advancing a broader understanding of adaptively driven variation in recombination rates.
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- Award ID(s):
- 2142778
- PAR ID:
- 10586447
- Publisher / Repository:
- Annual Review of Genetics
- Date Published:
- Journal Name:
- Annual review of genetics
- ISSN:
- 1545-2948
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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