experimental evolution造句
例句與造句
- Experimental evolution uses controlled experiments to test hypotheses and theories of evolution.
- The approach generally used in his laboratory is called microbial experimental evolution.
- This may explain why mutators are often seen during experimental evolution of microbes.
- Experimental evolution has been performed on multicellular and unicellular eukaryotes, prokaryotes, and viruses.
- In 1904 Davenport received funds from the Carnegie Institution to found the Station for Experimental Evolution.
- It's difficult to find experimental evolution in a sentence. 用experimental evolution造句挺難的
- Experimental evolution has been used in various formats to understand underlying evolutionary processes in a controlled system.
- In 1904 he secured funding for the Station for Experimental Evolution, later renamed the Carnegie Department of Genetics.
- Comparative phylogenetic and experimental evolution studies suggest an inherent mechanism for robust generation of a scaled Bicoid protein gradient.
- His work in experimental evolution involves observing genetic and phenotypic changes in bacteria and bacteriophages, the viruses that attack bacteria.
- From the 1880s to 1980, experimental evolution was intermittently practiced by a variety of evolutionary biologists, including the highly influential Theodosius Dobzhansky.
- A large-scale example of experimental evolution is Richard Lenski's multi-generation experiment with " Escherichia coli ".
- In addition to in silico models, these processes are beginning to be confirmed by experimental evolution of cytochrome P450s and B-lactamase.
- Although modern evolutionary research, since their rapid reproduction allows the study of experimental evolution and the observation of evolution and adaptation in real time.
- In the early 1990s, he changed the focus of his work to experimental evolution and phylogenetics, and has since had considerable success in both fields.
- Kanban has six general practices : visualization, limiting work in progress, flow management, making policies explicit, using feedback loops, and collaborative or experimental evolution.
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