收敛演化
生物
进化生物学
溯祖理论
分类
系统发育树
基因流
趋同(经济学)
变化(天文学)
渗入
平行进化
分类单元
系统发育学
遗传学
基因
遗传变异
生态学
经济增长
天体物理学
物理
经济
计算机科学
程序设计语言
作者
Jonathan M. Waters,Graham A. McCulloch
摘要
Abstract Biologists have long been intrigued by apparently predictable and repetitive evolutionary trajectories inferred across a variety of lineages and systems. In recent years, high‐throughput sequencing analyses have started to transform our understanding of such repetitive shifts. While researchers have traditionally categorized such shifts as either “convergent” or “parallel,” based on relatedness of the lineages involved, emerging genomic insights provide an opportunity to better describe the actual evolutionary mechanisms at play. A synthesis of recent genomic analyses confirms that convergence is the predominant driver of repetitive evolution among species, whereas repeated sorting of standing variation is the major driver of repeated shifts within species. However, emerging data reveal numerous notable exceptions to these expectations, with recent examples of de novo mutations underpinning convergent shifts among even very closely related lineages, while repetitive sorting processes have occurred among even deeply divergent taxa, sometimes via introgression. A number of very recent analyses have found evidence for both processes occurring on different scales within taxa. We suggest that the relative importance of convergent versus sorting processes depends on the interplay between gene flow among populations, and phylogenetic relatedness of the lineages involved.
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