收敛演化
生物
适应(眼睛)
进化生物学
生物进化
系统发育学
神经科学
遗传学
基因
作者
Nels C. Elde,Manyuan Long,Aaron P. Turkewitz
标识
DOI:10.1016/j.tcb.2007.02.007
摘要
The role of convergent evolution in biological adaptation is increasingly appreciated. Many clear examples have been described at the level of individual proteins and for organismal morphology, and convergent mechanisms have even been invoked to account for similar community structures that are shared between ecosystems. At the cellular level, an important area that has received scant attention is the potential influence of convergent evolution on complex subcellular features, such as organelles. Here, we show that existing data strongly argue that convergent evolution underlies the similar properties of specialized secretory vesicles, called dense core granules, in the animal and ciliate lineages. We discuss both the criteria for judging convergent evolution and the contribution that such evolutionary analysis can make to improve our understanding of processes in cell biology. The elucidation of these underlying evolutionary relationships is vital because cellular structures that are assumed to be analogous, owing to shared features, might in fact be governed by different molecular mechanisms. The role of convergent evolution in biological adaptation is increasingly appreciated. Many clear examples have been described at the level of individual proteins and for organismal morphology, and convergent mechanisms have even been invoked to account for similar community structures that are shared between ecosystems. At the cellular level, an important area that has received scant attention is the potential influence of convergent evolution on complex subcellular features, such as organelles. Here, we show that existing data strongly argue that convergent evolution underlies the similar properties of specialized secretory vesicles, called dense core granules, in the animal and ciliate lineages. We discuss both the criteria for judging convergent evolution and the contribution that such evolutionary analysis can make to improve our understanding of processes in cell biology. The elucidation of these underlying evolutionary relationships is vital because cellular structures that are assumed to be analogous, owing to shared features, might in fact be governed by different molecular mechanisms.
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