Department of Biology, 221 Morrill Science Center, University of Massachusetts, Amherst, MA 01003, USA.
Trends Ecol Evol. 2013 May;28(5):267-73. doi: 10.1016/j.tree.2012.12.004. Epub 2013 Jan 18.
How does genetic innovation translate into ecological innovation? Although evo-devo has successfully linked genes to morphology, the next stage is elucidating how genes predict resource use. This can be attained by broadening the focus of evo-devo from [genes→morphology], to [genes→morphology→functional ecology]. We suggest that the fields of evo-devo, functional morphology, and evolutionary ecology should be united under a common framework based on three predictions. The first is that morphological disparity should scale positively with functional complexity among different radiations. The second is that functional complexity should correlate negatively with the predictability of evolutionary divergence within lineages, and the third is that functional complexity should define the genetic architecture of adaptive radiations. These predictions could enable a broader understanding of how genetic variation is translated into variation in resource use.
遗传创新如何转化为生态创新?尽管演化发育生物学已成功将基因与形态联系起来,但下一阶段是阐明基因如何预测资源利用。这可以通过将演化发育生物学的焦点从[基因→形态]拓宽到[基因→形态→功能生态学]来实现。我们建议,演化发育生物学、功能形态学和进化生态学这三个领域应该在基于三个预测的共同框架下联合起来。第一个预测是,不同辐射之间的形态差异应与功能复杂性呈正相关。第二个预测是,功能复杂性应与谱系内进化分歧的可预测性呈负相关,第三个预测是,功能复杂性应定义适应性辐射的遗传结构。这些预测可以使我们更广泛地理解遗传变异如何转化为资源利用的变化。