Correct combination of plastid(cp)and nuclear(nr)DNA data for plant phylogenetic reconstructions is not a new issue,but with an increasing number of nrDNA loci being used,it is of ever greater practical concern.For ac...Correct combination of plastid(cp)and nuclear(nr)DNA data for plant phylogenetic reconstructions is not a new issue,but with an increasing number of nrDNA loci being used,it is of ever greater practical concern.For accurately reconstructing the phylogeny and evolutionary history of plant groups,correct treatment of phylogenetic incongruence is a vital step in the proper analysis of cpDNA and nrDNA data.We first evaluated the current status of analyzing cpDNA and nrDNA data by searching all articles published in the journal Systematic Botany between 2005 and 2011.Many studies combining cpDNA and nrDNA data did not rigorously assess the combinability of the data sets,or did not address in detail possible reasons for incongruence between the two data sets.By reviewing various methods,we outline a procedure to more accurately analyze and/or combine cpDNA and nrDNA data,which includes four steps:identifying significant incongruence,determining conflicting taxa,providing possible interpretations for incongruence,and reconstructing the phylogeny after treating incongruence.Particular attention is given to explanation of the cause of incongruence.We hope that our procedure will help raise awareness of the importance of rigorous analysis and help identify the cause of incongruence before combining cpDNA and nrDNA data.展开更多
The objective of this paper is to discuss the issue of the projection uniformity of asymmetric fractional factorials.On the basis of Lee discrepancy,the authors define the projection Lee discrepancy to measure the uni...The objective of this paper is to discuss the issue of the projection uniformity of asymmetric fractional factorials.On the basis of Lee discrepancy,the authors define the projection Lee discrepancy to measure the uniformity for low-dimensional projection designs.Moreover,the concepts of uniformity pattern and minimum projection uniformity criterion are proposed,which can be used to assess and compare two and three mixed levels factorials.Statistical justification of uniformity pattern is also investigated.展开更多
基金supported by the National Natural Science Foundation of China (31270269,30800059,30990241)the Knowledge Innovation Program of the Chinese Academy of Sciences (KSCX2-EW-Z-2)
文摘Correct combination of plastid(cp)and nuclear(nr)DNA data for plant phylogenetic reconstructions is not a new issue,but with an increasing number of nrDNA loci being used,it is of ever greater practical concern.For accurately reconstructing the phylogeny and evolutionary history of plant groups,correct treatment of phylogenetic incongruence is a vital step in the proper analysis of cpDNA and nrDNA data.We first evaluated the current status of analyzing cpDNA and nrDNA data by searching all articles published in the journal Systematic Botany between 2005 and 2011.Many studies combining cpDNA and nrDNA data did not rigorously assess the combinability of the data sets,or did not address in detail possible reasons for incongruence between the two data sets.By reviewing various methods,we outline a procedure to more accurately analyze and/or combine cpDNA and nrDNA data,which includes four steps:identifying significant incongruence,determining conflicting taxa,providing possible interpretations for incongruence,and reconstructing the phylogeny after treating incongruence.Particular attention is given to explanation of the cause of incongruence.We hope that our procedure will help raise awareness of the importance of rigorous analysis and help identify the cause of incongruence before combining cpDNA and nrDNA data.
基金supported by the National Natural Science Foundations of China under Grant Nos.11271147 and 11401596
文摘The objective of this paper is to discuss the issue of the projection uniformity of asymmetric fractional factorials.On the basis of Lee discrepancy,the authors define the projection Lee discrepancy to measure the uniformity for low-dimensional projection designs.Moreover,the concepts of uniformity pattern and minimum projection uniformity criterion are proposed,which can be used to assess and compare two and three mixed levels factorials.Statistical justification of uniformity pattern is also investigated.
