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

IF 7.6 1区 农林科学 Q1 AGRONOMY
Taeko Koji, Hiroyoshi Iwata, Motoyuki Ishimori, Hideki Takanashi, Yuji Yamasaki, Hisashi Tsujimoto
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引用次数: 1

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 F1 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 F1 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.

Abstract Image

Abstract Image

Abstract Image

绿色植物phedius spp春季外貌的多光谱表型和遗传分析。
观赏绿化植物在季节转换过程中的外观变化是其重要特征。特别是,绿叶颜色的早发是一个理想的性状。在本研究中,我们建立了一种基于多光谱成像的叶片颜色变化表型分析方法,并基于表型进行了遗传分析,以阐明该方法在绿化植物育种中的潜力。本研究对2个亲本系的F1群体进行了多光谱表型分析和数量性状位点(QTL)分析。成像是在2019年4月和2020年4月进行的,这是休眠打破和生长延长开始的时间。对9个不同波长值的主成分分析表明,第一主成分(PC1)的贡献很大,它捕获了可见光范围的变化。PC1和可见光强度的高年际相关性表明,多光谱表型捕获了叶片颜色的遗传变异。我们还进行了限制性内切位点相关DNA测序,获得了首个遗传连锁图谱,QTL分析发现了2个与早期休眠破裂相关的QTL。根据这2个qtl所对应标记的基因型,对具有早(晚)休眠打破、绿(红或褐)叶、高(低)营养生长的F1表型进行了分类。结果表明,多光谱表型分析在绿色植物季节性叶片颜色变化的遗传解剖中具有潜力。
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来源期刊
Plant Phenomics
Plant Phenomics Multiple-
CiteScore
8.60
自引率
9.20%
发文量
26
审稿时长
14 weeks
期刊介绍: Plant Phenomics is an Open Access journal published in affiliation with the State Key Laboratory of Crop Genetics & Germplasm Enhancement, Nanjing Agricultural University (NAU) and published by the American Association for the Advancement of Science (AAAS). Like all partners participating in the Science Partner Journal program, Plant Phenomics is editorially independent from the Science family of journals. The mission of Plant Phenomics is to publish novel research that will advance all aspects of plant phenotyping from the cell to the plant population levels using innovative combinations of sensor systems and data analytics. Plant Phenomics aims also to connect phenomics to other science domains, such as genomics, genetics, physiology, molecular biology, bioinformatics, statistics, mathematics, and computer sciences. Plant Phenomics should thus contribute to advance plant sciences and agriculture/forestry/horticulture by addressing key scientific challenges in the area of plant phenomics. The scope of the journal covers the latest technologies in plant phenotyping for data acquisition, data management, data interpretation, modeling, and their practical applications for crop cultivation, plant breeding, forestry, horticulture, ecology, and other plant-related domains.
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