Evolvability of individual traits in a multivariate context: Partitioning the additive genetic variance into common and specific components

Evolution

Volumn 64, Issue 7, 2010, Pages 1899-1911

  McGuigan, Katrina ^a   Blows, Mark W ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

Factor analysis; G matrix; Modularity; Sexual selection

Indexed keywords

DROSOPHILA CF. SERRATA MS-2004;

PHEROMONE;

ANALYSIS OF VARIANCE; ANIMAL; ARTICLE; BIOLOGICAL MODEL; DROSOPHILA; EVOLUTION; FACTORIAL ANALYSIS; FORELIMB; GENETIC VARIABILITY; GENETICS; HISTOLOGY; PHENOTYPE;

ANALYSIS OF VARIANCE; ANIMALS; DROSOPHILA; EVOLUTION; FACTOR ANALYSIS, STATISTICAL; GENETIC VARIATION; MODELS, GENETIC; PHENOTYPE; PHEROMONES; WING;

EID: 78349294570     PISSN: 00143820     EISSN: 15585646     Source Type: Journal    
DOI: 10.1111/j.1558-5646.2010.00968.x     Document Type: Article

References (100)

1. Agrawal, A. F., and J. R. Stinchcombe. 2009. How much do genetic covariances alter the rate of adaptation? Proc. Roy. Soc. Lond. B 276:1183- 1191.
2. Allen, C. E., P. Beldade, B. J. Zwaan, and P. M. Brakefield. 2008. Differences in the selection response of serially repeated color pattern characters: standing variation, development, and evolution. BMC Evol. Biol. 8:94.
3. Arnold, S. J. 1992. Constraints on phenotypic evolution. Am. Nat. 140:S85- S107.
4. Arnold, S. J., M. E. Pfrender, and A. G. Jones. 2001. The adaptive landscape as a conceptual bridge between micro- and macro-evolution. Genetica 112:9-32.
5. Barton, N. H., and M. Turelli. 1987. Adaptive landscapes, genetic distance and the evolution of quantitative characters. Genet. Res. 49:157- 173.
6. Bauman, L. E., L. Almasy, J. Blangero, R. Duggirala, J. S. Sinsheimer, and K. Lange. 2005. Fishing for pleiotropic QTLs in a polygenic sea. Ann. Hum. Genet. 69:590-611.
7. Bjorklund, M. 1996. The importance of evolutionary constraints in ecological time scales. Evol. Ecol. 10:423-431.
8. Blows, M.W. 2007. A tale of two matrices: multivariate approaches in evolutionary biology. J. Evol. Biol. 20:1-8.
9. Brakefield, P. M. 2006. Evo-devo and constraints on selection. Trends Ecol. Evol. 21:362-368.
10. Calsbeek, B., and C. J. Goodnight. 2009. Empirical comparison of G matrix test statistics: finding biologically relevant change. Evolution 63:2627- 2635.
11. Cavicchi, S., C. Pezzoli, and G. Giorgi. 1981. Correlation between characters as related to developmental pattern in Drosophila.Genetica 56:189-195.
12. Charlesworth, B. 1990. Optimization models, quantitative genetics, and mutation. Evolution 44:520-538.
13. Cheverud, J. M. 1982. Phenotypic, genetic, and environmental morphological integration in the cranium. Evolution 36:499-516.
14. Cheverud, J. M. 1984. Quantitative genetics and developmental constraints on evolution by selection. J. Theor. Biol. 10:155-171.
15. Cheverud, J. M. 1988.Acomparison of genetic and phenotypic correlations.Evolution 42:958-968.
16. Cheverud, J. M., and G. Marroig. 2007. Comparing covariance matrices: random skewersmethod compared to the common principal components model. Genet. Mol. Biol. 30:461-469.
17. Conner, J. K. 2003. Artificial selection: a powerful tool for ecologists. Ecology 84:1650-1660.
18. Conner, J. K. 2007. A tale of two methods: putting biology before statistics in the study of phenotypic evolution. J. Evol. Biol. 20:17-19.
19. Crozatier, M., B. Glise, and A. Vincent. 2004. Patterns in evolution: veins of the Drosophila wing. Trends Genet. 20:498-505.
20. de Celis, J. F. 2003. Pattern formation in the Drosophila wing: the development of the veins. Bioessays 25:443-451.
21. de Jong, G., and A. J. van Noordwijk. 1992. Acquisition and allocation of resources: genetic (co)variances, selection, and life histories. Am. Nat. 139:749-770.
22. Dickerson, G. E. 1955. Genetic slippage in response to selection for multiple objectives. Cold Spring Harbor Symp Quant Biol 20:213-224.
23. Frentiu, F. D., M. Adamski, E. A. McGraw,M.W.Blows, and S. F. Chenoweth. 2009. An expressed sequence tag (EST) library for Drosophila serrata, a model system for sexual selection and climatic adaptation studies. BMC Genomics 10:40.
24. Fry, J. D. 1993. The general vigor problem: can antagonistic pleiotropy be detected when genetic covariances are positive. Evolution 47:327-333.
25. Gardner, K. M., and R. G. Latta. 2007. Shared quantitative trait loci underlying the genetic correlation between continuous traits. Mol. Ecol. 16:4195-4209.
26. Hansen, T. F. 2003. Is modularity necessary for evolvability? Remarks on the relationship between pleiotropy and evolvability. Biosystems 69: 83-94.
27. Hansen, T. F., and D. Houle. 2008. Measuring and comparing evolvability and constraint in multivariate characters. J. Evol. Biol. 21:1201-1219.
28. Hansen, T. F.,W. S. Armbruster,M. L. Carlson, and C. Pelabon. 2003. Evolvability and genetic constraint in Dalechampia blossoms: genetic correlations and conditional evolvability. J. Exp. Zool. B. 296B:23-39.
29. Hansen, J. L., D. R. Reed, M. J. Wright, N. G. Martin, and P. A. S. Breslin. 2006. Heritability and genetic covariation of sensitivity to PROP, SOA, quinine HCl, and caffeine. Chem. Senses. 31:403-413.
30. Hine, E., and M. W. Blows. 2006. Determining the effective dimensionality of the genetic variance-covariance matrix. Genetics 173:1135-1144.
31. Houle, D. 1991. Genetic covariance of fitness correlates: what genetic correlations are made of and why it matters. Evolution 45:630-648.
32. Houle, D., J. Mezey, P. Galpern, andA. Carter. 2003. Automated measurement of Drosophila wings. BMC Evol. Biol. 3:25.
33. Howard, R. W., and G. J. Blomquist. 2005. Ecological, behavioral, and biochemical aspects of insect hydrocarbons. Annu. Rev. Entomol. 50:371-393.
34. Hunt, J., L. F. Bussiere, M. D. Jennions, and R. Brooks. 2004. What is genetic quality? Trends. Ecol. Evol. 19:329-333.
35. Johnson, T., and N. Barton. 2005. Theoretical models of selection and mutation on quantitative traits. Philos. Trans. R. Soc. B. 360:1411-1425.
36. Kelly, J. K. 2009. Connecting QTLs to the G-matrix of evolutionary quantitative genetics. Evolution 63:813-825.
37. Kenney-Hunt, J. P., and J. M. Cheverud. 2009. Differential dominance of pleiotropic loci for mouse skeletal traits. Evolution 63:1845-1851.
38. Kirkpatrick, M. 2009. Patterns of quantitative genetic variation in multiple dimensions. Genetica 136:271-284.
39. Kirkpatrick, M., and D. Lofsvold. 1992. Measuring selection and constraint in the evolution of growth. Evolution 46:954-971.
40. Kirkpatrick, M., and K. Meyer. 2004. Direct estimation of genetic principal components: simplified analysis of complex phenotypes. Genetics 168:2295-2306.
41. Klingenberg, C. P. 2008. Morphological integration and developmental modularity. Annu. Rev. Ecol. Evol. S. 39:115-132.
42. Klingenberg, C. P., and S. D. Zaklan. 2000. Morphological integration between developmental compartments in the Drosophila wing. Evolution 54:1273-1285.
43. Lande, R. 1976. Natural selection and random genetic drift in phenotypic evolution. Evolution 30:314-334.
44. Lande, R. 1979. Quantitative genetic analysis of multivariate evolution, applied to brain:body size allometry. Evolution 33:402-416.
45. Lande, R. 1980. The genetic covariances between characters maintained by pleiotropic mutations. Genetics 94:203-215.
46. Lande, R., and S. J. Arnold. 1983. The measurement of selection on correlated characters. Evolution 37:110-126.
47. Littell, R. C., G. A. Milliken, W. W. Stroup, and R. D. Wolfinger. 1996. SAS System for Mixed Models SAS Institute, Inc., Cary, NC
48. Lynch, M., and B. Walsh. 1998. Genetics and analysis of quantitative traits Sinauer Associates Inc., Sunderland, MA
49. Magwene, P. M. 2001. New tools for studying integration and modularity. Evolution 55:1734-1745.
50. Magwene, P. M. 2008. Using correlation proximity graphs to study phenotypic integration. Evol. Biol. 35:191-198.
51. Magwene, P. M. 2009. Statistical methods for studying modularity: a reply to Mitteroecker and Bookstein. Syst. Biol. 58:146-149.
52. Marroig, G., L. T. Shirai, A. Porto, F. B. de Oliveira, and V. De Conto. 2009. The evolution of modularity in the mammalian skull II: evolutionary consequences. Evol. Biol. 36:136-148.
53. Martin, N. G., and L. J. Eaves. 1977. The genetic analysis of covariance structure. Heredity 38:79-95.
54. Martin, N.W., N. K. Hansell, M. A.Wainwright, S. N. Shekar, S. E. Medland, T. C. Bates, J. S. Burt, N. G. Martin, and M. J. Wright. 2009. Genetic covariation between the author recognition test and reading and verbal abilities: what can we learn from the analysis of high performance? Behav. Genet. 39:417-426.
55. McGuigan, K. 2009. Condition dependence varies with mating success in male Drosophila bunnanda. J. Evol. Biol. 22:1813-1825.
56. McGuigan, K., andM.W.Blows. 2007. The phenotypic and genetic covariance structure of Drosophilid wings. Evolution 61:902-911.
57. McGuigan, K., A. Van Homrigh, and M.W. Blows. 2008. Genetic analysis of female preference functions as function-valued traits.Am. Nat. 172:194-202.
58. Meyer, K. 2009. Factor-analytic models for genotype x environment type problems and structured covariance matrices. Genet. Sel. Evol. 41: 21.
59. Meyer, K., andM. Kirkpatrick. 2005. Restricted maximum likelihood estimation of genetic principal components and smoothed covariance matrices. Genet. Sel. Evol. 37:1-30.
60. Meyer, K., andM. Kirkpatrick. 2008. Perils of parsimony: properties of reduced rank estimates of genetic covariance matrices. Genetics 180:1153-1166.
61. Mezey, J. G., and D. Houle. 2005. The dimensionality of genetic variation for wing shape in Drosophila melanogaster. Evolution 59:1027-1038.
62. Mezey, J. G., D. Houle, and S. V. Nuzhdin. 2005. Naturally segregating quantitative trait loci affecting wing shape of Drosophila melanogaster. Genetics 169:2101-2113.
63. Mitteroecker, P., and F. Bookstein. 2007. The conceptual and statistical relationship between modularity and morphological integration. Syst. Biol. 56:818-836.
64. Mousseau, T. A., and D. A. Roff. 1987. Natural selection and the heritability of fitness components. Heredity 59:181-197.
65. Olson, E. C., and R. L. Miller. 1958. Morphological integration Univ. of Chicago Press, Chicago
66. Panakova, D., H. Sprong, E. Marois,C. Thiele, and S. Eaton. 2005. Lipoprotein particles are required for Hedgehog and Wingless signalling. Nature 435:58-65.
67. Pease, C. M., and J. J. Bull. 1988. A critique of methods for measuring life history trade-offs. J. Evol. Biol. 1:293-303.
68. Phillips, P. C., and S. J. Arnold. 1989. Visualizing multivariate selection. Evolution 43:1209-1222.
69. Phillips, P. C., M. C. Whitlock, and K. Fowler. 2001. Inbreeding changes the shape of the genetic covariance matrix in Drosophila melanogaster. Genetics 158:1137-1145.
70. Preziosi, R. F., and W. E. Harris. 2007. Multivariate selection for the rest of us. J. Evol. Biol. 20:34-35.
71. Reeve, J. P. 2000. Predicting long-term response to selection. Genet. Res. 75:83-94.
72. Riska, B. 1986. Some models for development, growth, and morphometric correlation. Evolution 40:1303-1311.
73. Robertson, A. 1966. A mathematical model of culling process in dairy cattle. Anim. Prod. 8:95-108.
74. Roff, D. A., and D. J. Fairbairn. 2007. The evolution of trade-offs: where are we? J. Evol. Biol. 20:433-447.
75. Rohlf, F. J. 1999. Shape statistics: procrustes superimpositions and tangent spaces. J. Classif. 16:197-223.
76. Rohlf, F. J. 2005. http://life.bio. sunysb.edu/morph./ tps Morphometric Software Department of Ecology and Evolution, State Univ. of New York, Stony Brook, New York
77. Rowe, L., andD. Houle. 1996. The lek paradox and the capture of genetic variance by condition dependent traits. Proc. Roy. Soc. Lond. B 263:1415-1421.
78. Schluter, D. 1996. Adaptive radiation along genetic lines of least resistance. Evolution 50:1766-1774.
79. Schluter, D. 2000. The ecology of adaptive radiation Oxford Univ. Press, Oxford
80. Smith, R. A., and M. D. Rausher. 2008. Selection for character displacement is constrained by the genetic architecture of floral traits in the ivyleaf morning glory. Evolution 62:2829-2841.
81. Smith, A., B. Cullis, and A. Gilmour. 2001. The analysis of crop variety evaluation data in Australia. Aust. N. Z. J. Stat. 43:129-145.
82. Stanley-Samuelson, D. W., and D. R. Nelson, 1993. Insect lipids: chemistry, biochemistry and biology eds. Univ. of Nebraska Press, Lincoln, Nebraska
83. Stark, J., J. Bonacum, J. Remsen, and R. DeSalle. 1999. The evolution and development of dipteran wing veins: a systematic approach. Annu. Rev. Entomol. 44:97-129.
84. Thompson, J. N., and R. C. Woodruff. 1982. Polygenic analysis of pattern formation: interdependence among veins in the same compartment of the Drosophila wing. Genetica 60:71-76.
85. Tomkins, J. L., J. Radwan, J. S. Kotiaho, and T. Tregenza. 2004. Genic capture and resolving the lek paradox. Trends Ecol. Evol. 19:323-328.
86. Turelli, M. 1988. Phenotypic evolution, constant covariances, and the maintenance of additive variances. Evolution 42:1342-1347.
87. Van Homrigh, A., M. Higgie, K. McGuigan, and M. W. Blows. 2007. The depletion of genetic variance by sexual selection. Curr. Biol. 17:528-532
88. Wagner, G. P., and L. Altenberg. 1996. Perspective: complex adaptations and the evolution of evolvability. Evolution 50:967-976.
89. Wagner, G. P.,M. Pavlicev, and J.M. Cheverud. 2007. The road tomodularity. Nat. Rev. Genet. 8:921-931.
90. Wagner, G. P., J. P. Kenney-Hunt, M. Pavlicev, J. R. Peck, D. Waxman, and J. M. Cheverud. 2008. Pleiotropic scaling of gene effects and the 'cost of complexity'. Nature 452:U470-U479.
91. Walsh, B., and M.W. Blows. 2009. Abundant genetic variation+strong selection = multivariate genetic constraints: a geometric view of adaptation. Annu. Rev. Ecol. Syst. 40:41-59.
92. Weber, K. E. 1992. How small are the smallest selectable domains of form. Genetics 130:345-353.
93. Weber, K. E., R. Eisman, L. Morey, A. Patty, J. Sparks, M. Tausek, and Z. B. Zeng. 1999. An analysis of polygenes affecting wing shapeon chromosome 3 in Drosophila melanogaster. Genetics 153:773-786.
94. Weber, K. E., R. Eisman, S. Higgins, L. Morey, A. Patty, M. Tausek, and Z. B. Zeng. 2001. An analysis of polygenes affecting wing shape on chromosome 2 in Drosophila melanogaster. Genetics 159:1045-1057.
95. Weber, K. E., N. Johnson, D. Champlin, and A. Patty. 2005. Many P-element insertions affect wing shape in Drosophila melanogaster. Genetics 169:1461-1475.
96. Weber, K. E., R. J. Greenspan, D. R. Chicoine, K. Fiorentino, M. H. Thomas, and T. L. Knight. 2008. Microarray analysis of replicate populations selected against a wing-shape correlation in Drosophila melanogaster. Genetics 178:1093-1108.
97. Whitlock, M. C., and A. F. Agrawal. 2009. Purging the genome with sexual selection: reducing mutation load through selection on males. Evolution 63:569-582.
98. Wolf, J. B., D. Pomp, E. J. Eisen, J. M. Cheverud, and L. J. Leamy. 2006. The contribution of epistatic pleiotropy to the genetic architecture of covariation among polygenic traits in mice. Evol. Dev. 8:468-476.
99. Zelditch, M. L. 1987. Evaluating models of developmental integration in the laboratory rat using confirmatory factor analysis. Syst. Zool. 36:368-380.
100. Zimmerman, E., A. Palsson, and G. Gibson. 2000. Quantitative trait loci affecting components ofwing shape in Drosophila melanogaster.Genetics 155:671-683.