THE STABILITY OF P IN CORAL REEF FISHES
Edward T. Game
School of Marine Biology and Aquaculture, James Cook University, Townsville, Queensland 4811, Australia
The Ecology Centre, University of Queensland, St. Lucia, Queensland 4072, Australia; E-mail: [email protected].
Search for more papers by this authorM. Julian Caley
Australian Institute of Marine Science, Townsville, Queensland 4810, Australia
E-mail: [email protected]
Search for more papers by this authorEdward T. Game
School of Marine Biology and Aquaculture, James Cook University, Townsville, Queensland 4811, Australia
The Ecology Centre, University of Queensland, St. Lucia, Queensland 4072, Australia; E-mail: [email protected].
Search for more papers by this authorM. Julian Caley
Australian Institute of Marine Science, Townsville, Queensland 4810, Australia
E-mail: [email protected]
Search for more papers by this authorAbstract
Abstract The constancy of phenotypic variation and covariation is an assumption that underlies most recent investigations of past selective regimes and attempts to predict future responses to selection. Few studies have tested this assumption of constancy despite good reasons to expect that the pattern of phenotypic variation and covariation may vary in space and time. We compared phenotypic variance-covariance matrices (P) estimated for populations of six species of distantly related coral reef fishes sampled at two locations on Australia's Great Barrier Reef separated by more than 1000 km. The intraspecific similarity between these matrices was estimated using two methods: matrix correlation and common principal component analysis. Although there was no evidence of equality between pairs of P, both statistical approaches indicated a high degree of similarity in morphology between the two populations for each species. In general, the hierarchical decomposition of the variance-covariance structure of these populations indicated that all principal components of phenotypic variance-covariance were shared but that they differed in the degree of variation associated with each of these components. The consistency of this pattern is remarkable given the diversity of morphologies and life histories encompassed by these species. Although some phenotypic instability was indicated, these results were consistent with a generally conserved pattern of multivariate selection between populations.
Literature Cited
-
Ackermann, R. R., and
J. M. Cheverud. 2000. Phenotypic covariance structure in tamarins (Genus Saguinus): a comparison of variation patterns using matrix correlation and common principal component analysis.
Am. J. Phys. Anthropol.
111: 489–501.
10.1002/(SICI)1096-8644(200004)111:4<489::AID-AJPA5>3.0.CO;2-U CAS PubMed Web of Science® Google Scholar
- Arnold, S. J. 1992. Constraints on phenotypic evolution. Am. Nat. 140: S85–S107.
- Arnold, S. J., and P. C. Phillips. 1999. Hierarchical comparison of genetic variance-covariance matrices. II. Coastal-inland divergence in the garter snake, Thamnophis elegans. Evolution 53: 1516–1527.
- Badyaev, A. V., and G. E. Hill. 2000. The evolution of sexual dimorphism in the house finch. I. Population divergence in morphological covariance structure. Evolution 54: 1784–1794.
- Bailey, R. C., and J. Byrnes. 1990. A new, old method for assessing measurement error in both univariate and multivariate morphometric studies. Syst. Zool. 39: 124–130.
- Bay, L. K., R. H. Crozier, and M. J. Caley. 2006. The relationship between population genetic structure and pelagic larval duration in coral reef fishes on the Great Barrier Reef. Mar. Biol. In press.
- Bégin, M., and D. A. Roff. 2003. The constancy of the G matrix through species divergence and the effects of quantitative genetic constraints on phenotypic evolution: a case study in crickets. Evolution 57: 1107–1120.
- Bégin, M., and D. A. Roff. 2004. From micro- to macroevolution through quantitative genetic variation: positive evidence from field crickets. Evolution 58: 2287–2304.
- Björklund, M. 1996. The importance of evolutionary constraints in ecological time scales. Evol. Ecol. 10: 423–431.
-
Björklund, M.
2004. Constancy of the G matrix in ecological time.
Evolution
56: 1157–1164.
10.1111/j.0014-3820.2004.tb01696.x Google Scholar
- Bookstein, F. L., B. Chernoff, R. Elder, J. Humphries, G. Smith, and R. Strauss. 1985. Morphometrics in evolutionary biology. Academy of Natural Sciences of Philadelphia, PA .
- Brodie, E. D., III 1993. Homogeneity of the genetic variance-covariance matrix for antipredator traits in two natural populations of the garter snake Thamnophis ordinoides. Evolution 47: 844–854.
-
Burnham, K. P., and
D. R. Anderson. 1998. Model selection and inference: a practical information-theoretic approach. Springer-Verlag,
New York
.
10.1007/978-1-4757-2917-7 Google Scholar
- Cheverud, J. M. 1988. A comparison of genetic and phenotypic correlations. Evolution 42: 958–968.
-
Choat, J. H., and
D. R. Bellwood. 1991. Reef fishes: their history and evolution. Pp.
39–66
in
P. F. Sale, ed.
The ecology of fishes on coral reefs. Academic Press,
San Diego
,
CA
.
10.1016/B978-0-08-092551-6.50008-8 Google Scholar
- Falconer, D. S., and T. F. C. Mackay. 1996. Introduction to quantitative genetics. Longman, Essex , U.K .
-
Flury, B. K.
1987. A hierarchy of relationships between covariance matrices. Pp.
31–43
in
A. K. Gupta, ed.
Advances in multivariate statistical analysis. Reidel,
Boston
,
MA
.
10.1007/978-94-017-0653-7_3 Google Scholar
- Flury, B. K. 1988. Common principal components and related multivariate models. Wiley, New York .
- Grant, B. R. and P. R. Grant. 1993. Evolution of Darwin's finches caused by a rare climatic event. Proc. R. Soc. Biol. B 251: 111–117.
- Hair, J. F., R. E. Anderson, R. L. Tatham, and W. C. Black. 1998. Multivariate data analysis. Prentice Hall, Upper Saddle River , NJ .
- Hard, J. J., G. A. Winans, and J. C. Richardson. 1999. Phenotypic and genetic architecture of juvenile morphometry in chinook salmon. J. Hered. 90: 597–606.
- Houle, D., J. Mezey, and P. Galpern. 2002. Interpretation of the results of common principal components analyses. Evolution 56: 433–440.
- Jones, A. G., S. J. Arnold, and R. Borger. 2003. Stability of the G-matrix in a population experiencing pleiotropic mutation, stabilizing selection, and genetic drift. Evolution 57: 1747–1760.
- Jones, A. G., S. J. Arnold, and R. Borger. 2004. Evolution and stability of the G-matrix on a landscape with a moving optimum. Evolution. 58: 1639–1654.
- Kirkpatrick, M., and N. H. Barton. 1997. Evolution of a species' range. Am. Nat. 150: 1–23.
- Kohn, L. A. P., and W. R. Atchley. 1988. How similar are genetic correlation structures? Data from rats and mice. Evolution 42: 467–481.
- Lande, R. 1979. Quantitative genetic analysis of multivariate evolution, applied to brain:body size allometry. Evolution 33: 402–416.
- Lande, R., and S. J. Arnold. 1983. The measurement of selection on correlated characters. Evolution 37: 1210–1226.
- Little, R. J. A., and D. A. Rubin. 1987. Statistical analysis with missing data. Wiley, New York .
- Lofsvold, D. 1986. Quantitative genetics of morphological differentiation in Peromyscus. I. Tests of the homogeneity of genetic covariance structure among species and subspecies. Evolution 40: 559–573.
- Lynch, M., and B. Walsh. 1998. Genetics and analysis of quantitative traits. Sinauer Associates, Sunderland , MA .
- Merilä, J., and M. Björklund. 1999. Population divergence and morphometric integration in the green finch (Carduelis chloris): evolution against the trajectory of least resistance J. Evol. Biol. 12: 103–112.
- Mezey, J. G. and D. Houle. 2003. Comparing G matrices: Are common principal components informative Genetics 165: 411–425.
- Paulsen, S. M. 1996. Quantitative genetics of the wing color pattern in the buckeye butterfly (Precis coenia and Precis evarete): evidence against the constancy of G. Evolution 50: 1585–1597.
- Phillips, P. C. 1998. CPC: common principal components analysis. Univ. of Texas at Arlington. Software available at http:www.uoregon.edupphilsoftware.html.
- Phillips, P. C., and S. J. Arnold. 1999. Hierarchical comparison of genetic variance-covariance matrices. I. Using the Flury hierarchy. Evolution 53: 1506–1515.
- Roff, D. 1995. The estimation of genetic correlations from phenotypic correlations: a test of Cheverud's conjecture. Heredity 74: 481–490.
-
Roff, D.
1997. Evolutionary quantitative genetics. Chapman and Hall,
New York
.
10.1111/j.0014-3820.2004.tb01726.x Google Scholar
- Roff, D. 2000. The evolution of the G matrix: selection or drift Heredity 84: 135–142.
- Roff, D., and D. J. Fairbairn. 1999. Predicting correlated responses in natural populations: changes in JHE activity in the Bermuda populations of the sand cricket, Gryllus firmus. Heredity 38: 440–450.
- Roff, D., and T. A. Mousseau. 1999. Does natural selection alter genetic architecture? An evaluation of quantitative genetic variation among populations of Allonemobius socius and A. fasciatus. J. Evol. Biol. 12: 361–369.
- Rohlf, F. J. 1997. tpsDIG. State Univ. of New York at Stony Brook. Software available at http:life.bio.sunysb.edumorph.
- Schluter, D. 1996. Adaptive radiation along genetic lines of least resistance. Evolution 50: 1766–1774.
- Schott, J. R. 1997. Matrix analysis for statistics. Wiley, New York .
- Shaw, F. H., R. G. Shaw, G. S. Wilkinson, and M. Turelli. 1995. Changes in genetic variances and covariances: G whiz Evolution. 49: 1260–1267.
- Steppan, S. 1997. Phylogenetic analysis of phenotypic covariance structure. I. Contrasting results from matrix correlation and common principal component analyses. Evolution 51: 571–586.
- Steppan, S. J., P. C. Phillips, and D. Houle. 2002. Comparative quantitative genetics: evolution of the G matrix. Trends Ecol. Evol. 17: 320–327.
- Turelli, M. 1988. Phenotypic evolution, constant covariances, and the maintenance of additive variance. Evolution 42: 1342–1347.
- Via, S., and R. Lande. 1985. Genotype-environment interaction and the evolution of phenotypic plasticity. Evolution 39: 505–522.
- Voss, R. S., L. F. Marcus, and P. Escalante. 1990. Morphological evolution in muroid rodents I. Conservative patterns of craniometric covariance and their ontogenetic basis in the Neotropical genus Zygodontomys. Evolution 44: 1568–1587.
- Wilkinson, G. S., K. Fowler, and L. Partridge. 1990. Resistance of genetic correlation structure to directional selection in Drosophila melanogaster. Evolution 44: 1990–2003.