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通过传统和高通量番茄分析仪表型分析相结合的方法确定番茄表型多样性

Tomato Phenotypic Diversity Determined by Combined Approaches of Conventional and High-Throughput Tomato Analyzer Phenotyping.

作者信息

Nankar Amol N, Tringovska Ivanka, Grozeva Stanislava, Ganeva Daniela, Kostova Dimitrina

机构信息

Center of Plant Systems Biology and Biotechnology (CPSBB), 4000 Plovdiv, Bulgaria.

Maritsa Vegetable Crops Research Institute (MVCRI), 4003 Plovdiv, Bulgaria.

出版信息

Plants (Basel). 2020 Feb 5;9(2):197. doi: 10.3390/plants9020197.

DOI:10.3390/plants9020197
PMID:32033402
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7076427/
Abstract

Morphological variation in vegetative and fruit traits is a key determinant in unraveling phenotypic diversity. This study was designed to assess phenotypic diversity in tomatoes and examine intra- and intervarietal groups' variability using 28 conventional descriptors (CDs) and 47 Tomato Analyzer (TA) descriptors related to plant and fruit morphometry. Comprehensive phenotyping of 150 accessions representing 21 countries discerned noticeable variability for CD vegetative traits and TA quantified fruit features, such as shape, size, and color. Hierarchical cluster analysis divided the accessions into 10 distinct classes based on fruit shape and size. Multivariate analysis was used to assess divergence in variable traits among populations. Eight principal components with an eigenvalue >1 were identified by factor analysis, which contributed 87.5% variation to the total cumulative variance with the first two components contributing 32.0% and 18.1% variance, respectively. The relationship between vegetative and fruit descriptors was explained by respective CD and TA correlation networks. There was a strong positive correlation between fruit shape and size whereas negative correlations were between fruit shape index, internal eccentricity, and proximal end shape. The combined approach of CD and TA phenotyping allowed us to unravel the phenotypic diversity of vegetative and reproductive trait variation evaluated at pre- and post-harvest stages.

摘要

营养和果实性状的形态变异是揭示表型多样性的关键决定因素。本研究旨在评估番茄的表型多样性,并使用28个传统描述符(CDs)和47个与植物和果实形态测量相关的番茄分析仪(TA)描述符,研究品种内和品种间群体的变异性。对代表21个国家的150份种质进行全面表型分析,发现CD营养性状和TA量化的果实特征(如形状、大小和颜色)存在显著变异性。层次聚类分析根据果实形状和大小将种质分为10个不同的类别。采用多变量分析评估群体间可变性状的差异。通过因子分析确定了8个特征值大于1的主成分,它们对总累积方差的贡献率为87.5%,前两个成分分别贡献率为32.0%和18.1%。营养和果实描述符之间的关系通过各自的CD和TA相关网络进行了解释。果实形状和大小之间存在很强的正相关,而果实形状指数、内部偏心率和近端形状之间存在负相关。CD和TA表型分析的联合方法使我们能够揭示在收获前和收获后阶段评估的营养和生殖性状变异的表型多样性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36fe/7076427/1979a7aabc8b/plants-09-00197-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36fe/7076427/34748898aedd/plants-09-00197-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36fe/7076427/6059c955151b/plants-09-00197-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36fe/7076427/b55573dc5653/plants-09-00197-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36fe/7076427/89c86d5e2731/plants-09-00197-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36fe/7076427/573f42463e5f/plants-09-00197-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36fe/7076427/2047e713424b/plants-09-00197-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36fe/7076427/47f73846c7c8/plants-09-00197-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36fe/7076427/0abe40761bf8/plants-09-00197-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36fe/7076427/1979a7aabc8b/plants-09-00197-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36fe/7076427/34748898aedd/plants-09-00197-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36fe/7076427/6059c955151b/plants-09-00197-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36fe/7076427/b55573dc5653/plants-09-00197-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36fe/7076427/89c86d5e2731/plants-09-00197-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36fe/7076427/573f42463e5f/plants-09-00197-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36fe/7076427/2047e713424b/plants-09-00197-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36fe/7076427/47f73846c7c8/plants-09-00197-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36fe/7076427/0abe40761bf8/plants-09-00197-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36fe/7076427/1979a7aabc8b/plants-09-00197-g009.jpg

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