Original Research ARTICLE
QTL analysis of leaf morphology indicates conserved shape loci in grapevine
- 1Department of Food Science, College of Agriculture and Life Sciences, Cornell University, United States
- 2Horticulture Section, School of Integrative Plant Science, College of Agriculture and Life Sciences, Cornell University, United States
- 3State Fruit Experiment Station at Mountain Grove Campus, Missouri State University, United States
- 4Institute of Ecology and Evolutionary Biology, College of Life Science, National Taiwan University, Taiwan
- 5Institute of Plant Biology, College of Life Science, National Taiwan University, Taiwan
- 6La Platina, Institute of Agricultural Research (Chile), Chile
- 7Bioinformatics Core, Knowledge Enterprise Development, Arizona State University, United States
- 8Department of Horticulture, Michigan State University, United States
- 9Department of Computational Mathematics, Science and Engineering, College of Engineering, Michigan State University, United States
- 10Grape Genetics Research Unit, USDA-ARS, United States
Leaf shape in plants plays important roles in water use, canopy structure, and physiological tolerances to abiotic stresses; all important traits for the future development and sustainability of grapevine cultivation. Historically, researchers have used ampelography, the study of leaf shape in grapevines, to differentiate Vitis species and cultivars based on finite leaf attributes. However, ampelographic measurements have limitations and new methods for quantifying shape are now available. We paired an analysis of finite trait attributes with a seventeen-point landmark survey and generalized Procrustes analysis (GPA) to reconstruct grapevine leaves digitally from five interspecific hybrid mapping families. Using the reconstructed leaves, we performed three types of quantitative trait loci (QTL) analyses to determine the genetic architecture that defines leaf shape. In the first analysis, we compared several important ampelographic measurements as finite trait QTL. In the second and third analyses, we identified significant shape variation via principal components analysis (PCA) and using a multivariate least squares interval mapping (MLSIM) approach. In total we identified 271 significant QTL across the three measures of leaf shape and identified specific QTL hotspots in the grape genome which appear to drive major aspects of grapevine leaf shape.
Keywords: grapevine, Leaf morphology, Multivariate least squares interval mapping, phenotyping, Quantitative Trait Loci
Received: 12 Jun 2019;
Accepted: 04 Oct 2019.
Copyright: © 2019 (Takacs) Demmings, Williams, Lee, Barba Burgos, Yang, Hwang, Reisch, Chitwood and Londo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Dr. Jason P. Londo, Grape Genetics Research Unit, USDA-ARS, Geneva, 14456, New York, United States, firstname.lastname@example.org