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

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 ima...

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Detalles Bibliográficos
Autores principales: Koji, Taeko, Iwata, Hiroyoshi, Ishimori, Motoyuki, Takanashi, Hideki, Yamasaki, Yuji, Tsujimoto, Hisashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10292581/
https://www.ncbi.nlm.nih.gov/pubmed/37383728
http://dx.doi.org/10.34133/plantphenomics.0063
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author Koji, Taeko
Iwata, Hiroyoshi
Ishimori, Motoyuki
Takanashi, Hideki
Yamasaki, Yuji
Tsujimoto, Hisashi
author_facet Koji, Taeko
Iwata, Hiroyoshi
Ishimori, Motoyuki
Takanashi, Hideki
Yamasaki, Yuji
Tsujimoto, Hisashi
author_sort Koji, Taeko
collection PubMed
description 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.
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spelling pubmed-102925812023-06-28 Multispectral Phenotyping and Genetic Analyses of Spring Appearance in Greening Plant, Phedimus spp. Koji, Taeko Iwata, Hiroyoshi Ishimori, Motoyuki Takanashi, Hideki Yamasaki, Yuji Tsujimoto, Hisashi Plant Phenomics Research Article 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. AAAS 2023-06-26 /pmc/articles/PMC10292581/ /pubmed/37383728 http://dx.doi.org/10.34133/plantphenomics.0063 Text en Copyright © 2023 Taeko Koji et al. https://creativecommons.org/licenses/by/4.0/Exclusive licensee Nanjing Agricultural University. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Koji, Taeko
Iwata, Hiroyoshi
Ishimori, Motoyuki
Takanashi, Hideki
Yamasaki, Yuji
Tsujimoto, Hisashi
Multispectral Phenotyping and Genetic Analyses of Spring Appearance in Greening Plant, Phedimus spp.
title Multispectral Phenotyping and Genetic Analyses of Spring Appearance in Greening Plant, Phedimus spp.
title_full Multispectral Phenotyping and Genetic Analyses of Spring Appearance in Greening Plant, Phedimus spp.
title_fullStr Multispectral Phenotyping and Genetic Analyses of Spring Appearance in Greening Plant, Phedimus spp.
title_full_unstemmed Multispectral Phenotyping and Genetic Analyses of Spring Appearance in Greening Plant, Phedimus spp.
title_short Multispectral Phenotyping and Genetic Analyses of Spring Appearance in Greening Plant, Phedimus spp.
title_sort multispectral phenotyping and genetic analyses of spring appearance in greening plant, phedimus spp.
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10292581/
https://www.ncbi.nlm.nih.gov/pubmed/37383728
http://dx.doi.org/10.34133/plantphenomics.0063
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