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作 者:MA GuoJi LIANG LiJing FAN YanHui WANG WenJuan DAI JiaQing YUAN ZhiFa
机构地区:[1]College of Science, Northwest A&F University, Yangling 712100, China [2]Bioinformatics Center, Northwest A&F University, Yangling 712100, China [3]College of Life Sciences, Northwest A&F University, Yangling 712100, China
出 处:《Chinese Science Bulletin》2008年第19期3008-3015,共8页
摘 要:The biological diversity, which depends on the genetic material DNA, is the foundation for a species to survive and evolve. The entropy is the best measurement of biological diversity. Based on the sin-gle-parameter and the two-parameter models, here we established some differential equations about the point mutation of a DNA sequence with finite length, as well as some functions describing the processes of the variation in quantities of 4 kinds of bases (A, T, G and C) in the DNA sequence. At the molecular level, we discussed the entropy characteristics of point mutation. The results proved that a species maintained its entropy and evolved in the direction of the increasing biological diversity. In order to testify the theoretical results, we did a series of computer simulations of random point muta- tion in Matlab environment. The results were well consistent with the theoretical researches.The biological diversity, which depends on the genetic material DNA, is the foundation for a species to survive and evolve. The entropy is the best measurement of biological diversity. Based on the single-parameter and the two-parameter models, here we established some differential equations about the point mutation of a DNA sequence with finite length, as well as some functions describing the processes of the variation in quantities of 4 kinds of bases (A, T, G and C) in the DNA sequence. At the molecular level, we discussed the entropy characteristics of point mutation. The results proved that a species maintained its entropy and evolved in the direction of the increasing biological diversity. In order to testify the theoretical results, we did a series of computer simulations of random point mutation in Matlab environment. The results were well consistent with the theoretical researches.
分 类 号:R318[医药卫生—生物医学工程]
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