Abstract
To compare the application of traditional morphometric methods (TMMs) and geometric morphometric methods (GMMs) in the study of intraspecific leaf morphological characters of Quercus dentata, fifteen linear measurement indices and thirteen landmarks of leaves were used to study leaf morphology of three provenances (H1, H2, and H3). In TMMs, principal component analysis (PCA) showed that leaf size–related indices played an important role in population classification. Partial least square (PLS) analysis showed that the main morphological characters affecting leaf size were the average depth of the lobes and the length–width ratios. However, the important indices to distinguish the provenances were circularity, leaf width, and length–width ratio. The results of discriminant analysis (DA) showed that 74.0% of H1, 68.0% of H2, and 74.0% of H3 were correctly classified. Cluster analysis showed that the Mahalanobis distances between H1 and H2, H1 and H3, and H2 and H3 were 4.3761, 11.4629, and 10.2067, respectively. In GMMs, PCA based on symmetrical components showed that the difference in leaf morphology was mainly due to the changing trend of the leaf apex and base, petiole length, and degree of leaf cracking. PLS analysis showed that there was a significant covariation between the leaf symmetrical components and size: as the leaf enlarged, the widest part gradually moved up, and the shape changed from nearly oval to lanceolate. DA results showed that 86.0% and 78.0% of H1 and H2, 70.0% and 80.0% of H1 and H3, and 82.0% and 76.0% of H2 and H3 were correctly classified. Canonical variate analysis results showed that the Mahalanobis distances between H1 and H2, H1 and H3, and H2 and H3 were 1.7238, 1.5380, and 1.6329, respectively. Both GMMs and TMMs showed significant differences in morphology among the three Q. dentata provenances, but GMMs had higher classification accuracy and could provide more information about leaf shape, whereas TMMs could provide more information about leaf size. Based on our results, GMMs are promising in the study of leaf morphological variation within Q. dentata provenances.
Similar content being viewed by others
References
Asanidze Z, Akhalkatsi M, Gvritishvili M (2011) Comparative morphometric study and relationships between the Caucasian species of wild pear (Pyrus spp.) and local cultivars in Georgia. Flora 206(11):974–986. https://doi.org/10.1016/j.flora.2011.04.010
Bai M, Yang XK (2007) Application of geometric morphometrics in biological researches. Chin J Appl Entomol 1:143–147. https://doi.org/10.1016/j.asd.2012.05.004 (in Chinese)
Boratynski A, Marcysiak K, Lewandowska A, Jasinka A, Iszkulo G, Burozyk J (2008) Differences in leaf morphology between Quercus petraea and Q. robur adult and young individuals. Silva Fenn 42(1):15–124. https://doi.org/10.14214/sf.268
Borazan A, Baba MT (2003) Morphometric leaf variation in oaks (Quercus) of Bolu. Turkey Ann Bo Fenn 40(4):233–242. https://doi.org/10.2307/23726840
Bylesj M, Segura V, Soolanayakanahally RY, Rae AM, Trygg J, Gustafsson P (2008) LAMINA: a tool for rapid quantification of leaf size and shape parameters. BMC Plant Biol 8(1):82. https://doi.org/10.1186/1471-2229-8-82
Cardini A, Elton S (2009) Geographical and taxonomic influences on cranial variation in red colobus monkeys (Primates, Colobinae): introducing a new approach to ‘morph’ monkeys. Global Ecol Biogeogr 18(2):248–263. https://doi.org/10.1111/j.1466-8238.2008.00432.x
Chitwood DH, Ranjan A, Martinez CC, Headland LR, Thiem T, Kumar R, Covington MF, Hatcher T, Naylor DT, Zimmerman S, Downs N, Raymundo N, Buckler ES, Maloof JN, Aradhya M, Prins B, Li L, Myles S, Sinha NR (2014) A modern ampelography: a genetic basis for leaf shape and venation patterning in grape. Plant Physiol 164(1):259–272. https://doi.org/10.1104/pp.113.229708
Costa C, Paglia G, Salvador FR, Lolletti D, Rimatori V, Menesatti P (2009) Hazelnut cultivar identification with leaf morphometric analysis: preliminary results. Acta Hortic 845:245–248. https://doi.org/10.17660/ActaHortic.2009.845.34
Cramon-Taubadel NV (2019) Multivariate morphometrics, quantitative genetics, and neutral theory: developing a “modern synthesis” for primate evolutionary morphology. Evol Anthropol 28(1):21–33. https://doi.org/10.1002/evan.21761
De Heredia UL, Duro-Garcia MJ, Soto A (2018) Leaf morphology of progenies in Q. suber, Q. ilex, and their hybrids using multivariate and geometric morphometric analysis. Forest 11(1):90–98. https://doi.org/10.3832/ifor2577-010
Fang Z, Fan JT, Chen XJ, Chen YY (2018) Beak identification of four dominant octopus species in the East China Sea based on traditional measurements and geometric morphometrics. Fish Sci 84(6):975–985. https://doi.org/10.1007/s12562-018-1235-0
Gailing O, Lind J, Lilleskov E (2012) Leaf morphological and genetic differentiation between Quercus rubra L. and Q. ellipsoidalis E. J. hill populations in contrasting environments. Plant Syst Evol 298(8):1533–1545. https://doi.org/10.1007/s00606-012-0656-y
Gao Y, Yue ZF (2020) Quality evaluation of celery based on principal component analysis. Sci Technol Food Ind 41(3):308–314. https://doi.org/10.13386/j.issn1002-0306.2020.03.051 (in Chinese)
Ge DY, Xia L, Lv FF, Huang JH (2012) Methods in geometric morphology and their applications in ontogenetic and evolutionary biology of animals. Zool Syst 37(2):296–304 (in Chinese)
Gerber S, Chadoeuf J, Gugerli F, Lascoux M, Buiteveld J, Cottrell J, Dounavi A, Fineschi S, Forrest LL, Fogelqvist J (2014) High rates of gene flow by pollen and seed in oak populations across Europe. PLoS ONE 9(1):e85130. https://doi.org/10.1371/journal.pone.0085130
Gratani L (2014) Plant phenotypic plasticity in response to environmental factors. Adv Bot Res 2014:1–17. https://doi.org/10.1155/2014/208747
Gugerli F, Walser JC, Dounavi K, Holderegger R, Finkeldey R (2007) Coincidence of small-scale spatial discontinuities in leaf morphology and nuclear microsatellite variation of Quercus petraea and Q. robur in a mixed forest. Ann Bot 99(4):713–722. https://doi.org/10.1093/aob/mcm006
Guo XL, Reddy GVP, He JY, Li JY, Shi PJ (2020) Mean-variance relationships of leaf bilateral asymmetry for 35 species of plants and their implications. Glob Ecol Conserv 23:e01152. https://doi.org/10.1016/j.gecco.2020.e01152
Hufford L (2003) Morphology, shape and phylogenetics. (Systematics association special volumes, No. 64.) by N. MacLeod; P. L. Forey. Plant Syst Evo 240(1–4):251–254. https://doi.org/10.2307/23645124
Igual L, Perez-Sala X, Escalera S, Angulo C, De la Torre F (2014) Continuous generalized procrustes analysis. Pattern Recogn 47(2):659–671. https://doi.org/10.1016/j.patcog.2013.08.006
Jensen RJ, Ciofani KM, Miramontes LC (2002) Lines, outlines, and landmarks: morphometric analyses of leaves of Acer rubrum, Acer saccharinum (Aceraceae) and their hybrid. Taxon 51(3):475–492. https://doi.org/10.2307/1555066
Jin MR, Yuan H, Huang DZ (2020) Study on digital classification of plants based on characteristics of leaf shape and leaf vein. For Ecol Sci 35(1):112–118. https://doi.org/10.13320/j.cnki.hjfor.2020.0015 (in Chinese)
Jury S (2008) Plant form: an illustrated guide to flowering plant morphology. Plantsman New Ser 7(4):261
Jv RH, Li XH, Duan LL, Wang J (2020) Evaluation of leaf quality of different varieties of sweet potato based on principal component analysis. J Beijing Vocat Coll Agric 34(2):24–30. https://doi.org/10.19444/j.cnki.1671-7252.2020.02.004 (in Chinese)
Klingenberg CP (2011) MorphoJ: an integrated software package for geometric morphometrics. Mol Ecol Resour 11(2):353–357. https://doi.org/10.1111/j.1755-0998.2010.02924.x
Klingenberg CP, Monteiro LR (2005) Distances and directions in multidimensional shape spaces: implications for morphometric applications. Syst Biol 54(4):678–688. https://doi.org/10.1080/10635150590947258
Klingenberg CP, Barluenga M, Meyer A (2002) Shape analysis of symmetric structures: quantifying variation among individuals and asymmetry. Evolution 56(10):1909–1920. https://doi.org/10.1111/j.0014-3820.2002.tb00117.x
Kremer A, Dupouey JL, Deans JD, Cottrell J, Csaikl U, Finkeldey R, Espinel S, Jensen J, Kleinschmit J, Dam BV, Ducousso A, Forrest L (2002) Leaf morphological differentiation between Quercus robur and Quercus petraea is stable across western European mixed oak stands. Ann Sci 59(7):777–787. https://doi.org/10.1051/forest:2002065
Kuhl FP, Giardina CR (1982) Elliptic fourier features of a closed contour. Comput Gr 18(3):236–258. https://doi.org/10.1016/0146-664X(82)90034-X
Lan SB (2018) Present research progress and prospect on deciduous oak of northern China. For By-Prod Speciality China 2018(4):71–76. https://doi.org/10.13268/j.cnki.fbsic.2018.04.031 (in Chinese)
Li RR, Li M, Yan J, Zhang HF, Bai M (2019) Intraspecific variation in Eysarcoris aeneus revealed by geometric morphometrics (Hemiptera:Pentatomidae). Acta Entomol Sin 62(9):1081–1089. https://doi.org/10.16380/j.kcxb.2019.09.009 (in Chinese)
Li YJ, Zhang YY, Liao PC, Wang TR, Wang XY, Ueno S, Du FK (2021) Genetic, geographic, and climatic factors jointly shape leaf morphology of an alpine oak, Quercus aquifolioides Rehder & E.H. Wilson. Ann For Sci 78:64. https://doi.org/10.1007/s13595-021-01077-w
Li YJ (2020) Study on leaf morphological variation of Quercus aquifolioides and Quercus spinosa by geometric morphology methods. Dissertation, Beijing Forestry University (in Chinese)
Liu Y, Lv J, Song J, Wang YY, Wang XJ, Du F (2017) Plant species delimitation method based on geometric morphometrics. Plant Sci J 35(6):894–899 (in Chinese)
Liu Y, Li YJ, Song JL, Zhang R, Yan Y, Wang Y (2018) Geometric morphometric methods of leaf shapes in two sympatric Chinese oaks: Quercus dentata Thunberg and Quercus aliena Blume (Fagaceae). Ann for Sci 75(4):90. https://doi.org/10.1007/s13595-018-0770-2
Liu M (2012) The research on genetic evolution relationship of Quercus. mongolica and Quercus wutaishanica. Dissertation, Northeast Forestry University (in Chinese)
Maestri R, Fornel R, Gonçalves GL, Geise L, Freitas TRO, Carnaval AC (2016) Predictors of intraspecific morphological variability in a tropical hotspot: comparing the influence of random and non-random factors. J Biogeogr 43(11):2160–2172. https://doi.org/10.1111/jbi.12815
Manos PS, Doyle JJ, Nixon KC (1999) Phylogeny, biogeography, and processes of molecular differentiation in Quercus subgenus Quercus (Fagaceae). Mol Phylogenet Evol 12(3):333–349. https://doi.org/10.1006/mpev.1999.0614
Miljković D, Stefanović M, Orlović S, Neđić MS, Kesić L, Stojnić S (2019) Wild cherry (Prunus avium (L.) L.) leaf shape and size variations in natural populations at different elevations. Alpine Bot 129(2):163–174. https://doi.org/10.1007/s00035-019-00227-1
Mitteroecker P, Gunz P (2009) Advances in Geometric Morphometrics. Evol Biol 36(2):235–247. https://doi.org/10.1007/s11692-009-9055-x
Morello S, Sassone AB, López A (2018) Leaflet shape in the endemic South American Oxalis sect. Alpinae: an integrative approach using molecular phylogenetics and geometric morphometrics. Perspect Plant Ecol 35:22–30. https://doi.org/10.1016/j.ppees.2018.09.003
Parés-Casanova PM, Salamanca-Carreño A, Crosby-Granados RA, Bentez-Molano J (2020) A comparison of traditional and geometric morphometric techniques for the study of basicranial morphology in horses: a case study of the araucanian horse from colombia. Animals 10(1):118. https://doi.org/10.3390/ani10010118
Peñaloza-Ramírez JM, Gonzlez-Rodrguez A, Mendoza-Cuenca L, Caron H, Kremer A, Oyama K (2010) Interspecific gene flow in a multispecies oak hybrid zone in the Sierra Tarahumara of Mexico. Ann Bot 105(3):389–399. https://doi.org/10.1093/aob/mcp301
Peng YS, Chen L, Li JQ (2007) Study on numerical taxonomy of Quercus L. (Fagaceae) in China. Plant Sci J 2:149–157 (in Chinese)
Rebeka R, Ján D, Jana V, Brůžek J (2017) Geometric morphometric and traditional methods for sex assessment using the posterior ilium. Leg Med (tokyo) 26:52–61. https://doi.org/10.1016/j.legalmed.2017.03.004
Reyment RA (1985) Multivariate morphometrics and analysis of shape. Math Geol 17(6):591–609. https://doi.org/10.1007/BF01030855
Richtsmeier JT, De Leon VB, Lele SR (2002) The promise of geometric morphometrics. Am J Phys Anthropol. https://doi.org/10.1002/ajpa.10174
Sanfilippo PG, Cardini A, Hewitt AW, Crowston JG, Mackey DA (2009) Optic disc morphology: rethinking shape. Prog Retin Eye Res 28(4):227–248. https://doi.org/10.1016/j.preteyeres.2009.05.004
Savriama Y, Klingenberg CP (2011) Beyond bilateral symmetry: geometric morphometric methods for any type of symmetry. BMC Evol Biol 11(1):280. https://doi.org/10.1186/1471-2148-11-280
Schrader J, Shi PJ, Royer DL, Peppe DJ, Gallagher RV, Li Y, Wang R, Wright IJ (2021) Leaf size estimation based on leaf length, width and shape. Ann Botany 128(4):395–406. https://doi.org/10.1093/aob/mcab078
Shi PJ, Ratkowsky DA, Li Y, Zhang LF, Lin SY, Gielis J (2018a) A general leaf-area geometric formula exists for plants: evidence from the simplified gielis equation. Forests 9(11):714. https://doi.org/10.1016/10.3390/f9110714
Shi PJ, Zheng X, Ratkowsky DA, Li Y, Wang P, Cheng L (2018b) A simple method for measuring the bilateral symmetry of leaves. Symmetry 10(4):118. https://doi.org/10.3390/sym10040118
Shi PJ, Liu MD, Ratkowsky DA, Gielis J, Su JL, Yu XJ, Wang P, Zhang LF, Lin ZY, Schrader J (2019a) Leaf area-length allometry and its implications in leaf-shape evolution. Trees-Struct Funct 33(4):1073–1085. https://doi.org/10.1007/s00468-019-01843-4
Shi PJ, Liu MD, Yu XJ, Gielis J, Ratkowsky DA (2019b) Proportional relationship between leaf area and the product of leaf length width of four types of special leaf shapes. Forests 10(2):178. https://doi.org/10.3390/f10020178
Shi PJ, Niinemets Ü, Hui C, Niklas KJ, Yu XJ, Holscher D (2020) Leaf bilateral symmetry and the scaling of the perimeter versus the surface area in 15 vine species. Forests 11(2):246. https://doi.org/10.3390/f11020246
Shi PJ, Yu KX, Niinemets Ü, Gielis J (2021) Can leaf shape be represented by the ratio of leaf width to length? Evidence from nine species of Magnolia and Michelia (Magnoliaceae). Forests 12(1):41. https://doi.org/10.3390/f12010041
Shu Y, Shi L, Lai SQ, Tian Y, Chang YQ (2021) Morphometric study and comparison of cultured scallop chlamys farreri at different depths. Acta Hydrobiol Sin 45(1):132–139 (in Chinese)
Simeone MC, Piredda R, Alessio P, Vessella F (2013) Application of plastid and nuclear markers to DNA barcoding of Euro-Mediterranean oaks (Quercus, Fagaceae): problems, prospects and phylogenetic implications. Bot J Linn Soc 172(4):478–499. https://doi.org/10.1111/boj.12059
Song J, Hou M, Lu SH, Li JQ, Du F (2015) Geometric morphological analysis of leaves based on landmarks. J Lanzhou Univ Nat Sci 51(5):705–710. https://doi.org/10.13885/j.issn.0455-2059.2015.05.019 (in Chinese)
Souza SMF, Moreira DAI, Joseph MS (2012) Geometric morphometrics of leaf blade shape in Montrichardia linifera (Araceae) populations from the Rio Parnaíba delta, north-east Brazil. Bot J Linn Soc 170(4):554–572. https://doi.org/10.1111/j.1095-8339.2012.01309.x
Stephan J, Chayban L, Vessella F (2016) Abiotic factors affecting oaks distribution in Lebanon. Turk J Bot 40(6):595–609. https://doi.org/10.3906/bot-1601-24
Stephan JM, Teent PW, Vessella F, Schirone B (2018) Oak morphological traits: between taxa and environmental variability. Flora 243:32–44. https://doi.org/10.1016/j.flora.2018.04.001
Su W, Song YG, Qi M, Du F (2021) Leaf morphological characteristics of section Quercus based on geometric morphological analysis. Chin J Appl Ecol 32(7):1–8. https://doi.org/10.13287/j.1001-9332.202107.001 (in Chinese)
Sun M, Su T, Zhang SB, Li SF, Anberree-Lebreton J, Zhou ZK (2016) Variations in leaf morphological traits of Quercus guyavifolia (Fagaceae) were mainly influenced by water and ultraviolet irradiation at high elevations on the Qinghai-Tibet Plateau, China. Int J Agric Biol 18(2):266–273. https://doi.org/10.17957/IJAB/15.0074 (in Chinese)
Tomic O, Berget I, Naes T (2015) A comparison of generalised procrustes analysis and multiple factor analysis for projective mapping data. Food Qual Prefer 43:34–46. https://doi.org/10.1016/j.foodqual.2015.02.004
Viscosi V (2015) Geometric morphometrics and leaf phenotypic plasticity: assessing fluctuating asymmetry and allometry in European white oaks (Quercus). Bot J Linn Soc 179(2):335–348. https://doi.org/10.1111/boj.12323
Viscosi V, Cardini A (2011) Leaf morphology, taxonomy and geometric morphometrics: a simplified protocol for beginners. Plos One. https://doi.org/10.1371/journal.pone.0025630
Viscosi V, Fortini P, Slice DE, Loy A, Blasi C (2009a) Geometric morphometric analyses of leaf variation in four oak species of the subgenus Quercus (Fagaceae). Plant Biosyst 143(3):575–587. https://doi.org/10.1080/11263500902775277
Viscosi V, Lepais O, Gerber S, Fortini P (2009b) Leaf morphological analyses in four European oak species (Quercus) and their hybrids: a comparison of traditional and geometric morphometric methods. Plant Biosyst 143(3):564–574. https://doi.org/10.1080/11263500902723129
Viscosi V, Antonecchia G, Lepais O, Fortini P, Gerber S, Loy A (2012) Leaf shape and size differentiation in white oaks: assessment of allometric relationships among three sympatric species and their hybrids. Int J Plant Sci 173(8):875–884. https://doi.org/10.1086/667234
Wang Y, Warton DI, Wright ST (2012) Distance-based multivariate analyses confound location and dispersion effects. Methods Ecol Evol 3(1):89–101. https://doi.org/10.1111/j.2041-210X.2011.00127.x
Wang GH, Zhang H, Wei YS (2017) Realization of partial least Squares regression in SPSS. Stat Decis 7:67–71. https://doi.org/10.13546/j.cnki.tjyjc.2017.07.017 (in Chinese)
Wang P, Ratkowsky DA, Xiao X, Yu XJ, Su JL, Zhang LF, Shi PJ (2018) Taylor’s power law for leaf bilateral symmetry. Forests 9(8):500. https://doi.org/10.3390/f9080500
Wang CH, Guo XY, Li JH (2020) Analysis of leaf shape variation in seedling stage of hybrids between Populus tomentosa and Populus nigra. For Res 33(3):132–138. https://doi.org/10.13275/j.cnki.lykxyj.2020.03.017(inChinese)
Wei L, Li YF, Zhang H, Liao W (2015) Variation in morphological traits in a recent hybrid zone between closely related Quercus liaotungensis and Q. mongolica (Fagaceae). J Plant Ecol 8(2):224–229. https://doi.org/10.1111/j.2041-210X.2011.00127.x
Wetter MA, Stace CA (1982) Plant taxonomy and biosystematics. Brittonia 34(1):80. https://doi.org/10.2307/2806403
Wieringa J, Dijksterhuis G, Gower J, Van Perlo F (2009) Generalised procrustes analysis with optimal scaling: exploring data from a power supplier. Comput Stat Data an 53(12):4546–4554. https://doi.org/10.1016/j.csda.2009.03.017
Wright IJ, Dong N, Maire V, Prentice IC, Westoby M, Díaz S, Gallagher RV (2017) Global climatic drivers of leaf size. Science 357(6354):917–921. https://doi.org/10.1126/science.aal4760
Wu SQ, You HZ (2019) Afforestation under canopy of Quercus dentata secondary forest in Yanshan mountain. Prot For Sci Technol 12:5–7. https://doi.org/10.13601/j.issn.1005-5215.2019.12.002 (in Chinese)
Yu XJ, Hui C, Sandhu HS, Lin ZY, Shi PJ (2019) Scaling relationships between leaf shape and area of 12 Rosaceae species. Symmetry 11(10):1255. https://doi.org/10.3390/sym11101255
Yu XJ, Shi PJ, Schrader J, Niklas KJ (2020) Nondestructive estimation of leaf area for 15 species of vines with different leaf shapes. Am J Bot 107(11):1481–1490
Acknowledgements
We would like to thank the Administration Bureau of Hongyashan State Owned Forest Farm in Yixian County for providing the seedlings of Q. dentata and to Letpub (https:// www.letpub.com.) for English language editing of this manuscript.
Author information
Authors and Affiliations
Corresponding authors
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Project funding: This research was supported by the National Key R&D Program of China during the 14th Five-year Plan Period (2021YFD2200302) and the nonprofit industry research subject of the National Forestry and Grassland Administration in China (Grant Number 201504408).
The online version is available at http://www.springerlink.com.
Corresponding editor: Tao Xu.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Yang, K., Wu, J., Li, X. et al. Intraspecific leaf morphological variation in Quercus dentata Thunb.: a comparison of traditional and geometric morphometric methods, a pilot study. J. For. Res. 33, 1751–1764 (2022). https://doi.org/10.1007/s11676-022-01452-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11676-022-01452-x