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Research Project: Grapevine Genetics, Genomics and Molecular Breeding for Disease Resistance, Abiotic Stress Tolerance, and Improved Fruit Quality

Location: Grape Genetics Research Unit (GGRU)

Title: Composite modeling of leaf shape across shoots discriminates Vitis species better than individual leaves

Author
item BRYSON, ABIGAIL - Michigan State University
item BROWN, MAYA - Michigan State University
item MULLINS, JOEY - Michigan State University
item DONG, WEI - Michigan State University
item BAHMANI, KEIVAN - Michigan State University
item BORNOWSKI, N - Michigan State University
item CHIU, CHRISTINA - Michigan State University
item ENGELGAU, PHILIP - Michigan State University
item GETTINGS, BETHANY - Michigan State University
item GOMEZCANO, FABIO - Michigan State University
item GREGORY, LUKE - Michigan State University
item HABER, ANNA - Michigan State University
item HOH, DONGHEE - Michigan State University
item JENNINGS, EMILY - Michigan State University
item JI, ZHONGJIE - Michigan State University
item KAUR, PRABHJOT - Michigan State University
item RAFU KENCHANMANE, SUNIL - Michigan State University
item LONG, YUNFEI - Michigan State University
item LOTRECK, SERENA - Michigan State University
item MATHIEU, DAVIS - Michigan State University
item RANAWEERA, THILANKA - Michigan State University
item RITTER, ELEANORE - Michigan State University
item SADOHARA, RIE - Michigan State University
item SHROTE, ROBERT - Michigan State University
item SMITH, KAILA - Michigan State University
item TERESI, SCOTT - Michigan State University
item VENEGAS, JULIAN - Michigan State University
item WANG, HAO - Michigan State University
item WILSON, MCKENA - Michigan State University
item TARRANT, ALYSSA - Michigan State University
item FRANK, MARGARET - Michigan State University
item MIGICOVSKY, ZOE - Dalhousie University
item KUMAR, JYOTHI - Michigan State University
item VANBUREN, ROBERT - Michigan State University
item Londo, Jason
item CHITWOOD, DAN - Michigan State University

Submitted to: Applications in Plant Sciences
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 5/20/2020
Publication Date: 6/14/2020
Citation: Bryson, A.E., Brown, M.W., Mullins, J., Dong, W., Bahmani, K., Bornowski, N., Chiu, C., Engelgau, P., Gettings, B., Gomezcano, F., Gregory, L.M., Haber, A.C., Hoh, D., Jennings, E.E., Ji, Z., Kaur, P., Rafu Kenchanmane, S.K., Long, Y., Lotreck, S.G., Mathieu, D.T., Ranaweera, T., Ritter, E.J., Sadohara, R., Shrote, R.Z., Smith, K.E., Teresi, S.J., Venegas, J., Wang, H., Wilson, M.L., Tarrant, A.R., Frank, M.H., Migicovsky, Z., Kumar, J., Vanburen, R., Londo, J.P., Chitwood, D.H. 2020. Composite modeling of leaf shape across shoots discriminates Vitis species better than individual leaves. Applications in Plant Sciences. 1.

Interpretive Summary: The shape of leaves along a branch or vine represent a dynamic, continuously changing pattern driven by differences in leaf expansion rates.  Using the shapes of leaves collected from over 200 different grapevine accessions and over four different years, we modeled how consistent leaf shapes are across a vine.  Using this measurement of a "shape of shapes" we determined that grapevine species identity can be predicted with high confidence from shape alone.  We were unable to predict species using single leaf samples, but the composite shapes represent a better representation of the inherent differences between species.  

Technical Abstract: Leaf morphology is dynamic, continuously deforming during leaf expansion and among leaves within a shoot. We measured leaf morphology from over 200 vines over four years, and modeled changes in leaf shape along the shoot to determine if a composite “shape of shapes” can better capture variation and predict species identity compared to individual leaves. Using homologous universal landmarks found in grapevine leaves, we modeled various morphological features as a polynomial function of leaf node. The resulting functions are used to reconstruct modeled leaf shapes across shoots, generating composite leaves that comprehensively capture the spectrum of possible leaf morphologies. We found that composite leaves are better predictors of species identity than individual leaves from the same plant. We were able to use composite leaves to predict species identity of previously unassigned vines, which were verified with genotyping. Observations of individual leaf shape fail to capture the true diversity between species. Composite leaf shape—an assemblage of modeled leaf snapshots across the shoot—is a better representation of the dynamic and essential shapes of leaves, as well as serving as a better predictor of species identity than individual leaves.