Defining strawberry shape uniformity using 3D imaging and genetic mapping
Defining strawberry shape uniformity using 3D imaging and genetic mapping
复制标题
DOI：
10.1038/s41438-020-0337-x
复制
发表时间：
2020-08-01
影响因子：
8.7
通讯作者：
Harrison, Richard J.
中科院分区：
文献类型：
--
作者：
Li, Bo;Cockerton, Helen M.;Harrison, Richard J.
草莓果形一致性是一个复杂的性状，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匀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，开发了蓝莓形状的均匀性。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，视觉评估草莓果实质量的多亲本QTL定位群体允许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。QTL存在于广泛的种质，表明标记辅助育种的潜在候选人，而实施基因组选择的潜力进行了探索。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成像工具对草莓形状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，并解锁了准确选择均匀浆果的能力。
Strawberry shape 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 shape 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 potential candidate for marker-assisted breeding, while the potential to implement genomic selection is explored. 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 shape uniformity using 3D imaging tools has allowed precision phenotyping, which has improved the accuracy of trait quantification and unlocked the ability to accurately select for uniform berries.