## Abstract

Original language | English (US) |
---|---|

Pages (from-to) | 261-282 |

Number of pages | 22 |

Journal | Evolutionary Ecology Research |

Volume | 9 |

Issue number | 2 |

State | Published - 2007 |

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*Evolutionary Ecology Research*,

*9*(2), 261-282. https://www.scopus.com/inward/record.uri?eid=2-s2.0-33947613631&partnerID=40&md5=e3151afce3f90e20b2242ff84f0b1175

**A phylogenetic approach to determining the importance of constraint on phenotypic evolution in the neotropical lizard Anolis cristatellus**. In: Evolutionary Ecology Research. 2007 ; Vol. 9, No. 2. pp. 261-282.

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*Evolutionary Ecology Research*, vol. 9, no. 2, pp. 261-282. <https://www.scopus.com/inward/record.uri?eid=2-s2.0-33947613631&partnerID=40&md5=e3151afce3f90e20b2242ff84f0b1175>

**A phylogenetic approach to determining the importance of constraint on phenotypic evolution in the neotropical lizard Anolis cristatellus.** / Revell, L.J.; Harmon, L.J.; Langerhans, R.B.; Kolbe, J.J.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - A phylogenetic approach to determining the importance of constraint on phenotypic evolution in the neotropical lizard Anolis cristatellus

AU - Revell, L.J.

AU - Harmon, L.J.

AU - Langerhans, R.B.

AU - Kolbe, J.J.

N1 - Cited By :44 Export Date: 17 April 2018 CODEN: EERVB Correspondence Address: Revell, L.J.; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, United States; email: lrevell@fas.harvard.edu References: Ackermann, R.R., Cheverud, J.M., Phenotypic covariance structure in tamarins (genus Saguinus): A comparison of variation patterns using matrix correlation and common principal components analysis (2000) Am. J. Phys. Anthropol, 111, pp. 489-501; Ackermann, R.R., Cheverud, J.M., Discerning evolutionary processes in patterns of tamarin (genus Saguinus) craniofacial variation (2002) Am. J. Phys. Anthropol, 117, pp. 260-271; Akaike, H., Information theory and an extension of the maximum-likelihood principle (1973) Second International Symposium on Information Theory, pp. 267-281. , B.N. Petrov and F. Csaki, eds, pp, Budapest: Akademiai Kiado; Arnold, S.J., Constraints on phenotypic evolution (1992) Am. Nat, 140, pp. S85-S107; Arnold, S.J., Pfrender, M.E., Jones, A.G., The adaptive landscape as a conceptual bridge between micro- and macroevolution (2001) Genetica, 112-113, pp. 9-32; Badyaev, A.V., Hill, G.E., The evolution of sexual dimorphism in the house finch. I. Population divergence in morphological covariance structure (2000) Evolution, 54, pp. 1784-1794; Baker, R.H., Wilkinson, G.S., Phylogenetic analysis of correlation structure in stalk-eyed flies (Diasemopsis, Diopsidae) (2003) Evolution, 57, pp. 87-103; Barton, N., Partridge, L., Limits to natural selection (2000) Bioessays, 22, pp. 1075-1084; Barton, N.H., Turelli, M., Evolutionary quantitative genetics: How little do we know? (1989) Annu. Rev. Genet, 23, pp. 337-370; Bégin, M., Roff, D.A., The constancy of the G matrix through species divergence and the effects of quantitative genetic constraints on phenotypic evolution: A case study in crickets (2003) Evolution, 57, pp. 1107-1120; Bégin, M., Roff, D.A., From micro- to macroevolution through quantitative genetic variation: Positive evidence from field crickets (2004) Evolution, 58, pp. 2287-2304; Bégin, M., Debat, V., Roff, D.A., The effect of temperature and wing morphology on quantitative genetic variation in the cricket Gryllus firmus, with an appendix examining the statistical properties of the Jackknife-MANOVA method of matrix comparison (2004) J. Evol. Biol, 17, pp. 1255-1267; Björklund, M., Merilä, J., Morphological differentiation in Carduelis finches: Adaptive vs. constraint models (1993) J. Evol. Biol, 6, pp. 359-373; Blows, M.W., Higgie, M., Genetic constraints on the evolution of mate recognition under natural selection (2003) Am. Nat, 161, pp. 240-253; Blows, M.W., Chenoweth, S.F., Hine, E., Orientation of the genetic variance-covariance matrix and the fitness surface for multiple male sexually selected traits (2004) Am. Nat, 163, pp. 329-340; Butler, M.A., King, A.A., Phylogenetic comparative analysis: A modeling approach for adaptive evolution (2004) Am. Nat, 164, pp. 683-695; Camara, M.D., Ancell, C.A., Pigliucci, M., Induced mutations: A novel tool to study phenotypic integration and evolutionary constraints in Arabidopsis thaliana (2000) Evol. Ecol. Res, 2, pp. 1009-1029; Cheverud, J.M., Quantitative genetics and developmental constraints on evolution by selection (1984) J. Theor. Biol, 110, pp. 155-171; Cheverud, J.M., A comparison of genetic and phenotypic correlations (1988) Evolution, 42, pp. 958-968; Cheverud, J.M., Quantitative genetic analysis of cranial morphology in the cotton-top (Saguinus oedipus) and saddle-back (S. fuscicollis) tamarins (1996) J. Evol. Biol, 9, pp. 5-42; Cheverud, J.M., Rutledge, J.J., Atchley, W.R., Quantitative genetics of development: Genetic correlations among age-specific trait values and the evolution of ontogeny (1983) Evolution, 37, pp. 895-905; Dietz, E.J., Permutation tests for association between two distance matrices (1983) Syst. Zool, 32, pp. 21-26; Felsenstein, J., Phylogenies and the comparative method (1985) Am. Nat, 125, pp. 1-15; Fornori, J., Valverde, P.L., Nunez-Farfán, J., Quantitative genetics of plant tolerance and resistance against natural enemies of two natural populations of Datura stramonium (2003) Evol. Ecol. Res, 5, pp. 1049-1065; Flury, B., (1988) Common Principal Components Analysis and Related Multivariate Models, , New York: Wiley; Garland Jr., T., Rate tests for phenotypic evolution using phylogenetically independent contrasts (1992) Am. Nat, 140, pp. 509-519; Garland Jr., T., Harvey, P.H., Ives, A.R., Procedures for the analysis of comparative data using phylogenetically independent contrasts (1992) Syst. Biol, 41, pp. 18-32; Genet, K.S., Structural habitat and ecological overlap of the Puerto Rican lizards Anolis cristatellus and A. cooki, with comments on the long-term survival and conservation of A. cooki (2002) Carib. J. Sci, 38, pp. 272-278; Glor, R.E., Kolbe, J.J., Powell, R., Larson, A., Losos, J.B., Phylogenetic analysis of ecological and morphological diversification in Hispaniolan trunk-ground anoles (Anolis cybotes group) (2003) Evolution, 57, pp. 2383-2397; Hansen, T.F., Martins, E.P., Translating between microevolutionary process and macroevolutionary patterns: The correlation structure of interspecific data (1996) Evolution, 50, pp. 1404-1417; Jones, A.G., Arnold, S.J., Bürger, R., Stability of the G-matrix in a population experiencing pleiotropic mutation, stabilizing selection, and genetic drift (2003) Evolution, 57, pp. 1747-1760; Kluge, A.G., Kerfoot, W.C., The predictability and regularity of character divergence (1973) Am. Nat, 107, pp. 426-442; Lande, R., Quantitative genetic analysis of multivariate evolution, applied to brain:body size allometry (1979) Evolution, 33, pp. 402-416; Lande, R., The genetic covariance between characters maintained by pleiotropic mutations (1980) Genetics, 94, pp. 203-215; Lande, R., Arnold, S.J., The measurement of selection on correlated characters (1983) Evolution, 37, pp. 1210-1226; Larson, A., Losos, J.B., Phylogenetic systematics of adaptation (1996) Adaptation, pp. 187-220. , M.R. Rose and G.V. Lauder, eds, pp, San Diego, CA: Academic Press; Lofsvold, D., Quantitative genetics of morphological differentiation in Peromyscus. II. Analysis of selection and drift (1988) Evolution, 42, pp. 54-67; Losos, J.B., Ecomorphology, performance capability, and scaling of West Indian Anolis lizards: An evolutionary analysis (1990) Ecol. Monogr, 60, pp. 369-388; Losos, J.B., The evolution of form and function: Morphology and locomotor performance in West Indian Anolis lizards (1990) Evolution, 44, pp. 1189-1203; Losos, J.B., Jackman, T.R., Larson, A., de Queiroz, K., Rodríguez-Schettino, L., Contingency and determinism in replicated adaptive radiations of island lizards (1998) Science, 279, pp. 2115-2118; Lynch, M., Walsh, B., (1998) Genetics and Analysis of Quantitative Traits, , Sunderland, MA: Sinauer Associates; Manly, B.F.J., (1997) Randomization, Bootstrap and Monte Carlo Methods in Biology, , New York: Chapman & Hall; Manly, B.F.J., (2005) Multivariate Statistical Methods: A Primer, , New York: Chapman & Hall; Mantel, N., The detection of disease clustering and a generalized regression approach (1967) Cancer Res, 27, pp. 209-220; Marroig, G., Cheverud, J.M., A comparison of phenotypic variation and covariation patterns and the role of phylogeny, ecology, and ontogeny during cranial evolution of New World monkeys (2001) Evolution, 55, pp. 2576-2600; Marroig, G., de Vivo, M., Cheverud, J.M., Cranial evolution in sakis (Pithecia, Platyrrhini) II: Evolutionary processes and morphological integration (2004) J. Evol. Biol, 17, pp. 144-155; Martins, E.P., Estimating the rate of phenotypic evolution from comparative data (1994) Am. Nat, 144, pp. 193-209; Maynard Smith, J., Burian, R., Kauffman, S., Alberch, P., Campbell, J., Goodwin, B., Developmental constraints and evolution (1985) Q. Rev. Biol, 60, pp. 265-287; Merilä, J., Björklund, M., Population divergence and morphometric integration in the greenfinch (Carduelis chloris): Evolution against the trajectory of least resistance? (1999) J. Evol. Biol, 12, pp. 103-112; Omland, K.E., Correlated rates of molecular and morphological evolution (1997) Evolution, 51, pp. 1381-1393; Phillips, P.C., (1998) CPC: Common Principal Ccomponents Analysis, , Eugene, OR: University of Oregon; Phillips, P.C., Arnold, S.J., Hierarchical comparison of genetic variance-covariance matrices. I. Using the Flury hierarchy (1999) Evolution, 53, pp. 1506-1515; Revell, L.J., Harmon, L.J., Glor, R.E., Underparameterized model of sequence evolution leads to bias in the estimation of diversification rates from molecular phylogenies (2005) Syst. Biol, 54, pp. 973-983; Reusch, T., Blanckenhorn, W.U., Quantitative genetics of the dung fly Sepsis cynipsea: Cheverud's conjecture revisited (1998) Heredity, 81, pp. 111-119; Roff, D.A., The estimation of genetic correlations from phenotypic correlations: A test of Cheverud's conjecture (1995) Heredity, 74, pp. 481-490; Roff, D.A., Mousseau, T.A., Howard, D.J., Variation in the genetic architecture of calling song among populations of Allonemobius socius, A. fasciatus, and a hybrid population: Drift or selection? (1999) Evolution, 53, pp. 216-224; Rohlf, F.J. 2005. tpsDig, Version 2.04. Stony Brook, NY: Department of Ecology and Evolution, State University of New York at Stony Brook; Schluter, D., Adaptive radiation along genetic lines of least resistance (1996) Evolution, 50, pp. 1766-1774; Schluter, D., (2000) The Ecology of Adaptive Radiation, , Oxford: Oxford University Press; Shaw, F.H., Shaw, R.G., Wilkinson, G.S., Turelli, M., Changes in genetic variances and covariances: G whiz! (1995) Evolution, 49, pp. 1260-1267; Sokal, R.R., Population differentiation: Something new or more of the same? (1978) Ecological Genetics: The Interface, pp. 215-239. , P.P. Brussard, ed, pp, New York: Springer; Sokal, R.R., Riska, B., Geographic variation in Pemphigus populitransversus (Insecta: Aphididae) (1981) Biol. J. Linn. Soc, 15, pp. 201-233; Steppan, S.J., Phylogenetic analysis of phenotypic covariance structure. I. Contrasting results from matrix correlation and common principal component analyses (1997) Evolution, 51, pp. 571-586; Steppan, S.J., Phillips, P.C., Houle, D., Comparative quantitative genetics: Evolution of the G matrix (2002) Trends Ecol. Evol, 17, pp. 320-327; Swofford, D.L. 2002. PAUP* 4.0b10. Phylogenetic Analysis Using Parsimony * and Other Methods, Version 4.0b10. Sunderland, MA: Sinauer Associates; Turelli, M., Phenotypic evolution, constant covariances, and the maintenance of additive variance (1988) Evolution, 42, pp. 1342-1347; Venable, D.L., Burquez, M.A., Quantitative genetics of size, shape, life-history, and fruit characteristics of the seed heteromorphic composite Heterosperma pinnatum. II. Correlation structure (1990) Evolution, 44, pp. 1748-1763; Waitt, D.E., Levin, D.A., Genetic and phenotypic correlations in plants: A botanical test of Cheverud's conjecture (1998) Heredity, 80, pp. 310-319; Willis, J.H., Coyne, J.A., Kirkpatrick, M., Can one predict the evolution of quantitative characters without genetics? (1991) Evolution, 45, pp. 441-444; Williams, E.E., The origin of faunas. Evolution of lizard congeners in a complex island fauna: A trial analysis (1972) Evol. Biol, 6, pp. 47-89

PY - 2007

Y1 - 2007

N2 - Question: Is the pattern of phenotypic divergence among populations influenced by constraint in the form of the genetic covariances among characters? Background: Quantitative genetic theory predicts that when evolutionary lineages diverge simultaneously by genetic drift, the pattern of among-population divergence will parallel the pattern of within-population genetic variation and covariation. Among-population divergence is measured by the variance-covariance matrix of population means (the D matrix), or by the variance-covariance matrix of independent contrasts (D1C). The latter avoids the assumption of simultaneous divergence by incorporating phylogenetic non-independence among lineages and was developed expressly for this study. Within-population genetic variation and covariation are measured by the additive genetic variance-covariance matrix (the G matrix). Organism: The Puerto Rican crested anole (Anolis cristatellus). Methods: We sampled A. cristatellus from seven divergent populations widely dispersed across the species' range. These populations are sufficiently highly diverged to be considered evolutionarily independent lineages. We substituted the phenotypic variance-covariance matrix (P matrix) for G in evolutionary analysis. (Empirical studies have shown that P and G are frequently highly correlated for morphological traits.) In two populations, we estimated phenotypic variance-covariance matrices (P matrices) for 13 skeletal morphological traits, while in the remaining five we estimated mean phenotypes for the same traits. To test the hypothesis of constraint, we first calculated a pooled phenotypic variance-covariance matrix (P) from all populations. We compared P to the variance-covariance matrix of population means (D) and of independent contrasts (DIC). Independent contrasts were calculated using a molecular phylogeny of the included lineages. Results: Comparison of P matrices between populations showed evidence that covariance structure is highly conserved in conspecific populations of A. cristatellus. Comparison of P with D and of P with DIC indicated significant similarity in both cases, suggesting that constraint has influenced phenotypic evolution and thus probably genotypic evolution in this species. © 2007 Liam J. Revell.

AB - Question: Is the pattern of phenotypic divergence among populations influenced by constraint in the form of the genetic covariances among characters? Background: Quantitative genetic theory predicts that when evolutionary lineages diverge simultaneously by genetic drift, the pattern of among-population divergence will parallel the pattern of within-population genetic variation and covariation. Among-population divergence is measured by the variance-covariance matrix of population means (the D matrix), or by the variance-covariance matrix of independent contrasts (D1C). The latter avoids the assumption of simultaneous divergence by incorporating phylogenetic non-independence among lineages and was developed expressly for this study. Within-population genetic variation and covariation are measured by the additive genetic variance-covariance matrix (the G matrix). Organism: The Puerto Rican crested anole (Anolis cristatellus). Methods: We sampled A. cristatellus from seven divergent populations widely dispersed across the species' range. These populations are sufficiently highly diverged to be considered evolutionarily independent lineages. We substituted the phenotypic variance-covariance matrix (P matrix) for G in evolutionary analysis. (Empirical studies have shown that P and G are frequently highly correlated for morphological traits.) In two populations, we estimated phenotypic variance-covariance matrices (P matrices) for 13 skeletal morphological traits, while in the remaining five we estimated mean phenotypes for the same traits. To test the hypothesis of constraint, we first calculated a pooled phenotypic variance-covariance matrix (P) from all populations. We compared P to the variance-covariance matrix of population means (D) and of independent contrasts (DIC). Independent contrasts were calculated using a molecular phylogeny of the included lineages. Results: Comparison of P matrices between populations showed evidence that covariance structure is highly conserved in conspecific populations of A. cristatellus. Comparison of P with D and of P with DIC indicated significant similarity in both cases, suggesting that constraint has influenced phenotypic evolution and thus probably genotypic evolution in this species. © 2007 Liam J. Revell.

M3 - Article

VL - 9

SP - 261

EP - 282

JO - Evolutionary Ecology Research

JF - Evolutionary Ecology Research

SN - 1522-0613

IS - 2

ER -