Genetic and phenotypic component in head shape of common wall lizard Podarcis muralis

in Amphibia-Reptilia
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Head shape in lizards correlates with a wide range of environmental pressures, supporting the hypothesis that patterns of phenotypic change represent adaptive responses to selective processes. However, natural selection promotes evolutionary adaptation only if the trait under selection has enough heritable variation. In this study we used geometric morphometrics and quantitative genetics to assess the heritability patterns of the head shape and size of common wall lizards (Podarcis muralis). Genetic and phenotypic components were estimated using animal models, which showed that more than half of the variation in head morphology is inheritable. Furthermore, at least five independent patterns of genetically determined phenotypic change were detected. These outcomes confirm that morphological differentiation in common wall lizards may reliably be regarded as the result of adaptive processes driven by natural selection.

Genetic and phenotypic component in head shape of common wall lizard Podarcis muralis

in Amphibia-Reptilia

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References

AdamsD.C. (2011): Quantitative genetics and evolution of head shape in Plethodon salamanders. Evol. Biol. 38: 278-286.

AdamsD.C.RohlfF.J.SliceD.E. (2004): Geometric morphometrics: ten years of progress following the ‘revolution’. It. J. Zool. 71: 5-16.

ArnoldE.N. (1998): Cranial kinesis in lizards-variations, uses, and origins. Evol. Biol. 30: 323-357.

ArnoldS.J. (1983): Morphology, performance and fitness. Am. Zool. 23: 347-361.

BeuttelK.LososJ.B. (1999): Ecological morphology of Caribbean anoles. Herpetol. Monogr. 13: 1-28.

BooksteinF.L. (1991): Morphometric Tools for Landmark Data: Geometry and Biology. Cambridge University PressCambridge.

CollarD.C.O’MearaB.C.WainwrightP.C.NearT.J. (2009): Piscivory limits diversification of feeding morphology in centrarchid fishes. Evolution 63: 1557-1573.

DohmM.R.GarlandT. (1993): Quantitative genetics of scale counts in the garter snake Thamnophis sirtalis. Copeia 1993: 987-1002.

FalconerD.S.MackayT.F. (1996): Introduction to Quantitative Genetics. Benjamin CummingsHarlow.

GaleottiP.SacchiR.Pellitteri-RosaD.BellatiA.CoccaW.GentilliA.ScaliS.FasolaM. (2013): Colour polymorphism and alternative breeding strategies: effects of parent’s colour morph on fitness traits in the common wall lizard. Evol. Biol. 40: 385-394.

GroeneveldE.KovacM.MielenzN. (2008): VCE user’s guide and reference manual version 6.0. Institute of Farm Animal Genetics Neustadt.

HarmonL.J.KolbeJ.J.CheverudJ.M.LososJ.B. (2005): Convergence and the multidimensional niche. Evolution 59: 409-421.

HerrelA.De GrauwE.Lemos-EspinalJ.A. (2001): Head shape and bite performance in xenosaurid lizards. J. Exp. Zool. 290: 101-107.

HerrelA.Van DammeR.VanhooydonckB.De VreeF. (2001): The implications of bite performance for diet in two species of lacertid lizards. Can. J. Zool. 79: 662-670.

IrschickD.J.LososJ.B. (1999): Do lizards avoid habitats in which performance is submaximal? The relationship between sprinting capabilities and structural habitat use in Caribbean anoles. Am. Nat. 154: 293-305.

KingR.B. (1997): Variation in brown snake (Storeria dekayi) morphology and scalation: sex, family, and microgeographic differences. J. Herpetol. 31: 335-346.

KlingenbergC.P.BarluengaM.MeyerA. (2002): Shape analysis of symmetric structures: quantifing variation among individuals and symmetry. Evolution 56: 1909-1920.

KlingenbergC.P.LeamyL.L.J. (2001): Quantitative genetics of geometric shape in the mouse mandible. Evolution 55: 2342-2352.

KnottS.A.SiblyR.M.SmithR.H.MollerH. (1995): Maximum likelihood estimation of genetic parameters in life-history studies using the ‘Animal model’. Func. Ecol. 9: 122-126.

KohlsdorfT.GrizanteM.B.NavasC.A.HerrelA. (2008): Head shape evolution in Tropidurinae lizards: does locomotion constrain diet? J. Evol. Biol. 21: 781-790.

LandeR. (1979): Quantitative genetic analysis of multivariate evolution, applied to brain: body size allometry. Evolution 33: 402-416.

LazićM.M.CarreteroM.A.Crnobrnja-IsailovićJ.KaliontzopoulouA. (2015): Effects of environmental disturbance on phenotypic variation: an integrated assessment of canalization, developmental stability, modularity, and allometry in lizard head shape. Am. Nat. 185: 44-58.

LazićM.M.KaliontzopoulouA.CarreteroM.A.Crnobrnja-IsailovićJ. (2013): Lizards from urban areas are more asymmetric: using fluctuating asymmetry to evaluate environmental disturbance. PLoS ONE 8: e84190.

LososJ.B.SinervoB. (1989): The effects of morphology and perch diameter on sprint performance of Anolis lizards. J. Exp. Biol. 245: 23-30.

LynchM.WalshB. (1998): Genetics and Analysis of Quantitative Traits. Sinauer AssociatesSunderland.

MyersE.M.JanzenF.AdamsD.C.TuckerJ.K. (2006): Quantitative genetics of plastron shape in slider turtles (Trachemys scripta). Evolution 60: 563-572.

PiankaE.R.VittL.J. (2006): Lizards: Windows to the Evolution of Diversity. University of California PressBerkeley.

RidleyM. (2003): Evolution. Wiley-BlackwellHoboken.

RoffD.A. (1997): Evolutionary Quantitative Genetics. Chapman & HallNew York.

RohlfF.J. (2010): tpsDig2 digitize landmarks and outlines version 2.16. Department of Ecology and Evolution State University of New York New York.

RohlfF.J.MarcusL.F. (1993): A revolution in morphometrics. Trends Ecol. Evol. 8: 129-132.

RohlfF.J.SliceD.E. (1990): Extensions of the Procrustes method for the optimal superimposition of landmarks. Sys. Zool. 39: 40-59.

SacchiR.MangiacottiM.ScaliS.SannoloM.ZuffiM.A.L.Pellitteri-RosaD.BellatiA.GaleottiP.FasolaM. (2015): Context-dependent expression of sexual dimorphism in island populations of the common wall lizard (Podarcis muralis). Biol. J. Linn. Soc. 114: 552-565.

SacchiR.Pellitteri-RosaD.BellatiA.Di PaoliA.GhittiM.ScaliS.GaleottiP.FasolaM. (2013): Colour variation in the polymorphic common wall lizard (Podarcis muralis): an analysis using the RGB color system. Zool. Anz. 252: 431-439.

SinervoB.LososJ.B. (1991): Walking the tight rope: arboreal sprint performance among Sceloporus occidentalis lizard populations. Ecology 72: 1225-1233.

ÜvegesB.HalpernB.PéchyT.PostaJ.KomlósiI. (2012): Characteristics and heritability analysis of head scales of the Hungarian meadow viper (Vipera ursinii rakosiensis, Méhely 1893). Amphibia-Reptilia 33: 393-400.

VanhooydonckB.Van DammeR. (1999): Evolutionary relationships between body shape and habitat use in lacertid lizards. Evol. Ecol. Res. 1: 785-805.

VanhooydonckB.Van DammeR. (2003): Relationships between locomotor performance, microhabitat use and antipredator behaviour in lacertid lizards. Func. Ecol. 17: 160-169.

VittL.J.CaldwellJ.P.ZaniP.A.TitusT.A. (1997): The role of habitat shift in the evolution of lizard morphology: evidence from tropical Tropidurus. Proc. Nat. Acad. Sci. USA 94: 3828-3832.

ZugG.R.VittL.J.CaldwellJ.P. (2001): Herpetology: an Introductory Biology of Amphibians and Reptiles. Academic PressNew York.

Figures

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    Location of the 13 landmarks used to quantify dorsal head shape of mothers (a) and offspring (b).

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    Eigenvalues of the P, G and M variance covariance matrices.

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    Comparison of phenotypic change of head shape according to the first three PC for the P, G, and M variance covariance matrices. The arrows illustrate the shape evolution from positive to negative values along PCs.

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    Eigenvalues of the GP−1 and GM−1 matrices with the 95% confidence interval after 999 bootstraps.

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    Phenotypic change associated to the first five eigenvectors of the GP−1 matrix (E1 to E5), displaying the heritable pattern of variation in head shape of common wall lizard. The values reported below the images correspond to the eigenvalues, which estimate the h2 coefficient for the corresponding pattern of phenotypic change. The arrows visualize shape evolution from positive to negative values along each eigenvector.

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    Density distribution of the logarithm of the centroid size for the common wall lizard offspring. The line represents a density kernel.

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