在系统发育学中,构建系统进化树的算法是研究进化关系的基础.本文探讨并验证了基于k-mer的相异度算法d2S结合邻接法NJ构建系统进化树的可行性,对两种进化情景下的12个16S rRNA和36个噬菌体分子序列构建了系统进化树(其中 k =4,6,8,10),3类16S rRNA很清晰的按照古菌、细菌和真核生物分类开来,效果和Woese目录基本一致;同时可把4种类型的噬菌体按原来的进化关系区分开,而且受参数k影响小,分类效果非常好.这展现了相异度算法d2S结合邻接法NJ强大的功能.使用相异度算法d2S结合邻接法NJ构建系统进化树,将为系统进化关系提供新的算法和思路.
The eigen-frequencies of the axial w-modes of neutron star described by a super-soft equation of state(EOS) are investigated,by considering the non-Newtonian gravity.The results show that at the same stellar mass,the frequencies of wI and wI2 for our model are lower than that of the typical EOSs(such as APR); and the frequencies increase with the stellar masses,which is contrary to that of the typical EOSs.These characters may provide a probe to testify the super soft symmetry energy and the non-Newtonian gravity in the future.Moreover,our model also has the universal behavior of the mass-scaled eigen-frequencies as a function of the compactness.
