A DERIVATION OF ALL LINEAR INVARIANTS FOR A NONBALANCED TRANSVERSION MODEL

被引:14
作者
NGUYEN, T [1 ]
SPEED, TP [1 ]
机构
[1] UNIV CALIF BERKELEY,DEPT STAT,BERKELEY,CA 94720
关键词
INVARIANTS; PHYLOGENETIC INFERENCE;
D O I
10.1007/BF00160261
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The method of linear invariants discovered by Lake is a way of inferring phylogenies by testing statistical hypotheses. The main advantage of the method is that substitution rates for positions along the DNA sequence do not have to be identical. The assumptions and the algebraic background necessary for the applications of the method were clearly laid out in two papers by Cavender, who also described a way to derive a basis for the space of all linear invariants for rooted trees linking four species when the substitution process satisfies the assumption of balanced transversions. Cavender noted a generalization of linear invariants to certain more general substitution models. In this paper we give a simple explicit description of a basis for all linear invariants for a slight variant of Cavender's more general model, which applies to rooted trees linking any number of species. Bases for rooted trees linking five species are enumerated and the method applied to a problem concerning RNA polymerase sequence data.
引用
收藏
页码:60 / 76
页数:17
相关论文
共 23 条
  • [1] [Anonymous], 1971, STAT DECISION THEORY
  • [2] [Anonymous], 1987, STAT SCI, DOI DOI 10.1214/SS/1177013353
  • [3] Bellman R., 1970, INTRO MATRIX ANAL
  • [4] CAVENDER JA, 1989, MOL BIOL EVOL, V6, P301
  • [5] NECESSARY CONDITIONS FOR THE METHOD OF INFERRING PHYLOGENY BY LINEAR INVARIANTS
    CAVENDER, JA
    [J]. MATHEMATICAL BIOSCIENCES, 1991, 103 (01) : 69 - 75
  • [6] EVANS SN, 1992, IN PRESS ANN STAT
  • [7] EVOLUTIONARY TREES FROM DNA-SEQUENCES - A MAXIMUM-LIKELIHOOD APPROACH
    FELSENSTEIN, J
    [J]. JOURNAL OF MOLECULAR EVOLUTION, 1981, 17 (06) : 368 - 376
  • [8] FELSENSTEIN J, 1989, PHYLOGENETIC INFEREN
  • [9] THE PHYLOGENY OF PROKARYOTES
    FOX, GE
    STACKEBRANDT, E
    HESPELL, RB
    GIBSON, J
    MANILOFF, J
    DYER, TA
    WOLFE, RS
    BALCH, WE
    TANNER, RS
    MAGRUM, LJ
    ZABLEN, LB
    BLAKEMORE, R
    GUPTA, R
    BONEN, L
    LEWIS, BJ
    STAHL, DA
    LUEHRSEN, KR
    CHEN, KN
    WOESE, CR
    [J]. SCIENCE, 1980, 209 (4455) : 457 - 463
  • [10] Good I., 1965, ESTIMATION PROBABILI