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- W3190246525 abstract "Abstract Eibi Nevo’s research highlights the complexity of evolutionary responses to ecological parameters. This important work pioneered a growing awareness of the multiple levels of biological activity and organismal interactions that contribute to evolutionary change. In large measure, our current understanding of adaptive innovation is based on the newly acquired ability to track the details of evolutionary processes through genome analysis. Genomics has unambiguously demonstrated the importance of cell fusion, symbiosis, interspecific hybridization, genome restructuring involving mobile DNA elements, and the many forms of infectious heredity all to be major contributors to the appearance of organisms with novel adaptive characteristics. In addition, genomics has confirmed interspecific hybridization as a major stimulus to the rapid emergence of new taxa among sexually reproducing organisms. The work of Eibi and many other scientists has shown that ecology can trigger and influence all these different modes of hereditary change. We must recognize that genomic analyses have provided 21st century evolutionary scientists with such a rich variety of documented paths to inherited novelty that it has become impossible to formulate a comprehensive theory of evolutionary change. Thus an important part of the future in evolution science will be to adapt Eibi’s wisdom by devising synthetic Evolution Canyons as complex experimental microcosms, where we can rigorously study the principles governing ecological and biological interactions in adaptive innovation. Hopefully those interactive principles will make it possible to integrate information from genomic analysis into a coherent picture of evolution as a biological response to ecological change." @default.
- W3190246525 created "2021-08-16" @default.
- W3190246525 creator A5056312612 @default.
- W3190246525 date "2021-01-01" @default.
- W3190246525 modified "2023-09-26" @default.
- W3190246525 title "How should we think about evolution in the age of genomics?" @default.
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