Coevolution in temporally variable environments.
Coevolution in temporally variable environments.
复制标题
时间变化环境中的共同进化。
DOI：
10.1086/376582
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发表时间：
2003
期刊：
影响因子：
--
通讯作者：
Morgan,MartinT
中科院分区：
文献类型：
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作者：
Nuismer,ScottL;Gomulkiewicz,Richard;Morgan,MartinT
许多潜在的互惠互动是有条件的，在互惠和对抗之间的选择在空间和时间上有所不同。我们发展了一个时间变量共同进化的遗传模型，该模型包含了互惠和对抗之间的随机波动。我们使用这个模型来确定宿主和条件互助者之间匹配特征的共同进化所必需的条件。使用解析近似，我们证明了当几何平均相互作用是互惠的时，匹配特征将共同进化。当这种情况不成立时，多态和特征不匹配保持不变，并可能导致共同进化循环。数值模拟验证了这一预测，并表明它在存在时间自相关的情况下仍然是稳健的。将这些结果与无限制运动的空间模型的结果进行了比较。这些比较表明，基因流动对于产生共同进化的地理镶嵌理论所预测的经验模式来说是不必要的。
Many potentially mutualistic interactions are conditional, with selection that varies between mutualism and antagonism over space and time. We develop a genetic model of temporally variable coevolution that incorporates stochastic fluctuations between mutualism and antagonism. We use this model to determine conditions necessary for the coevolution of matching traits between a host and a conditional mutualist. Using an analytical approximation, we show that matching traits will coevolve when the geometric mean interaction is mutualistic. When this condition does not hold, polymorphism and trait mismatching are maintained, and coevolutionary cycles may result. Numerical simulations verify this prediction and suggest that it remains robust in the presence of temporal autocorrelation. These results are compared with those from spatial models with unrestricted movement. The comparisons demonstrate that gene flow is unnecessary for generating empirical patterns predicted by the geographic mosaic theory of coevolution.