Defining Strawberry Uniformity using 3D Imaging and Genetic Mapping
Defining Strawberry Uniformity using 3D Imaging and Genetic Mapping
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DOI：
10.1101/2020.03.01.972190
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发表时间：
2020-03
期刊：
影响因子：
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通讯作者：
Bo Li;H. Cockerton;Abigail W. Johnson;A. Karlström;E. Stavridou;G. Deakin;R. Harrison
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文献类型：
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作者：
Bo Li;H. Cockerton;Abigail W. Johnson;A. Karlström;E. Stavridou;G. Deakin;R. Harrison
草莓整齐度是一个复杂的性状，受多种遗传和环境因素的影响。使问题进一步复杂化的是，草莓均匀性的表型评估被“通过眼睛”量化几何参数的困难和评估者之间的差异所混淆。由于缺乏准确和客观的数据，迄今为止尚未对草莓均一性进行深入的遗传分析。尽管如此，一致性仍然是开发新品种的最重要的水果品质选择标准之一。在这项研究中，一个三维成像的方法，开发了枸杞均匀性。我们发现，最大周长的圆形度与手动均匀性评分的预测关系最密切。结合五个或六个自动化指标提供了最佳的预测模型，这表明人类对均匀性的评估非常复杂。此外，在多亲本QTL作图群体中对草莓果实品质进行视觉评估，可以识别控制均匀性的遗传成分。一个“规则形状”的QTL被确定，并发现与三个均匀性指标。该QTL在广泛的种质中存在，表明标记辅助育种的强有力的候选者。通过研究自动化指标对人类感知均匀性的相对影响，对浆果均匀性有了更深入的了解。此外，使用3D成像工具对草莓均匀性的全面定义允许精确的表型分析，这提高了性状量化的准确性。这个工具使我们能够说明使用先进的图像分析对草莓更大的均匀性育种。
Strawberry uniformity is a complex trait, influenced by multiple genetic and environmental components. To complicate matters further, the phenotypic assessment of strawberry uniformity is confounded by the difficulty of quantifying geometric parameters ‘by eye’ and variation between assessors. An in-depth genetic analysis of strawberry uniformity has not been undertaken to date, due to the lack of accurate and objective data. Nonetheless, uniformity remains one of the most important fruit quality selection criteria for the development of a new variety. In this study, a 3D-imaging approach was developed to characterise berry uniformity. We show that circularity of the maximum circumference had the closest predictive relationship with the manual uniformity score. Combining five or six automated metrics provided the best predictive model, indicating that human assessment of uniformity is highly complex. Furthermore, visual assessment of strawberry fruit quality in a multi-parental QTL mapping population has allowed the identification of genetic components controlling uniformity. A “regular shape” QTL was identified and found to be associated with three uniformity metrics. The QTL was present across a wide array of germplasm, indicating a strong candidate for marker-assisted breeding. A greater understanding of berry uniformity has been achieved through the study of the relative impact of automated metrics on human perceived uniformity. Furthermore, the comprehensive definition of strawberry uniformity using 3D imaging tools has allowed precision phenotyping, which has improved the accuracy of trait quantification. This tool has allowed us to illustrate the use of advanced image analysis towards the breeding of greater uniformity in strawberry.