UNDERSTANDING THE EVOLUTION AND STABILITY OF THE G-MATRIX

被引:318
作者
Arnold, Stevan J. [1 ]
Buerger, Reinhard [2 ]
Hohenlohe, Paul A. [1 ]
Ajie, Beverley C. [3 ]
Jones, Adam G. [4 ]
机构
[1] Oregon State Univ, Dept Zool, Corvallis, OR 97331 USA
[2] Univ Vienna, Inst Math, A-1090 Vienna, Austria
[3] Univ Calif Davis, Dept Ecol & Evolut, Davis, CA 95616 USA
[4] Texas A&M Univ, Dept Biol TAMU 3258, College Stn, TX 77843 USA
关键词
Adaptive landscape; genetic variance-covariance matrix; phenotypic evolution; selection surface;
D O I
10.1111/j.1558-5646.2008.00472.x
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The G-matrix summarizes the inheritance of multiple, phenotypic traits. The stability and evolution of this matrix are important issues because they affect our ability to predict how the phenotypic traits evolve by selection and drift. Despite the centrality of these issues, comparative, experimental, and analytical approaches to understanding the stability and evolution of the G-matrix have met with limited success. Nevertheless, empirical studies often find that certain structural features of the matrix are remarkably constant, suggesting that persistent selection regimes or other factors promote stability. On the theoretical side, no one has been able to derive equations that would relate stability of the G-matrix to selection regimes, population size, migration, or to the details of genetic architecture. Recent simulation studies of evolving G-matrices offer solutions to some of these problems, as well as a deeper, synthetic understanding of both the G-matrix and adaptive radiations.
引用
收藏
页码:2451 / 2461
页数:11
相关论文
共 82 条
[1]   The adaptive landscape as a conceptual bridge between micro- and macroevolution [J].
Arnold, SJ ;
Pfrender, ME ;
Jones, AG .
GENETICA, 2001, 112 (1) :9-32
[2]   CONSTRAINTS ON PHENOTYPIC EVOLUTION [J].
ARNOLD, SJ .
AMERICAN NATURALIST, 1992, 140 :S85-S107
[3]  
Arnold SJ, 1999, EVOLUTION, V53, P1516, DOI 10.1111/j.1558-5646.1999.tb05415.x
[4]   Adaptive inertia caused by hidden pleiotropic effects [J].
Baatz, M ;
Wagner, GP .
THEORETICAL POPULATION BIOLOGY, 1997, 51 (01) :49-66
[5]   Understanding quantitative genetic variation [J].
Barton, NH ;
Keightley, PD .
NATURE REVIEWS GENETICS, 2002, 3 (01) :11-21
[6]  
BARTON NH, 1989, ANNU REV GENET, V23, P337, DOI 10.1146/annurev.ge.23.120189.002005
[7]   A tale of two matrices: multivariate approaches in evolutionary biology [J].
Blows, M. W. .
JOURNAL OF EVOLUTIONARY BIOLOGY, 2007, 20 (01) :1-8
[8]   A reassessment of genetic limits to evolutionary change [J].
Blows, MW ;
Hoffmann, AA .
ECOLOGY, 2005, 86 (06) :1371-1384
[9]   Orientation of the genetic variance-covariance matrix and the fitness surface for multiple male sexually selected traits [J].
Blows, MW ;
Chenoweth, SF ;
Hine, E .
AMERICAN NATURALIST, 2004, 163 (03) :329-340
[10]   VISUALIZING AND QUANTIFYING NATURAL-SELECTION [J].
BRODIE, ED ;
MOORE, AJ ;
JANZEN, FJ .
TRENDS IN ECOLOGY & EVOLUTION, 1995, 10 (08) :313-318