Multispectral Phenotyping and Genetic Analyses of Spring Appearance in Greening Plant, Phedimus spp.

Author:

Koji Taeko1,Iwata Hiroyoshi2,Ishimori Motoyuki2,Takanashi Hideki2,Yamasaki Yuji3,Tsujimoto Hisashi3

Affiliation:

1. The United Graduate School of Agricultural Sciences, Tottori University, 4-101 Koyamacho minami, Tottori-shi, Tottori 680-8553, Japan.

2. Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi-chou, Bunkyo, Tokyo 113-8657, Japan.

3. Arid Land Research Center, Tottori University, 1390 Hamasaka, Tottori-shi, Tottori 680-0001, Japan.

Abstract

The change in appearance during the seasonal transitions in ornamental greening plants is an important characteristic. In particular, the early onset of green leaf color is a desirable trait for a cultivar. In this study, we established a method for phenotyping leaf color change by multispectral imaging and performed genetic analysis based on the phenotypes to clarify the potential of the approach in breeding greening plants. We performed multispectral phenotyping and quantitative trait locus (QTL) analysis of an F 1 population derived from 2 parental lines of Phedimus takesimensis , known to be a drought and heat-tolerant rooftop plant species. The imaging was conducted in April of 2019 and 2020 when dormancy breakage occurs and growth extension begins. Principal component analysis of 9 different wavelength values showed a high contribution from the first principal component (PC1), which captured variation in the visible light range. The high interannual correlation in PC1 and in the intensity of visible light indicated that the multispectral phenotyping captured genetic variation in the color of leaves. We also performed restriction site-associated DNA sequencing and obtained the first genetic linkage map of Phedimus spp. QTL analysis revealed 2 QTLs related to early dormancy breakage. Based on the genotypes of the markers underlying these 2 QTLs, the F 1 phenotypes with early (late) dormancy break, green (red or brown) leaves, and a high (low) degree of vegetative growth were classified. The results suggest the potential of multispectral phenotyping in the genetic dissection of seasonal leaf color changes in greening plants.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Agronomy and Crop Science

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