Seasonal pigment fluctuation in diploid and polyploid Arabidopsis revealed by machine learning-based phenotyping method PlantServation (Part 1/2)

Long-term field monitoring of leaf pigment content is informative for understanding plant responses to environments distinct from regulated chambers but is impractical by conventional destructive measurements. We developed PlantServation, a method incorporating robust image-acquisition hardware and deep learning-based software that extracts leaf color by detecting plant individuals automatically. As a case study, we applied PlantServation to examine environmental and genotypic effects on the pigment anthocyanin content estimated from leaf color. We analyzed >4 million images of small individuals of four Arabidopsis species in the field, where the plant shape, color, and background vary over months. Past radiation, coldness, and precipitation significantly affected the anthocyanin content. The synthetic allopolyploid A. kamchatica recapitulated the fluctuations of natural polyploids by integrating diploid responses. The data support a long-standing hypothesis stating that allopolyploi..., Top-view images of Arabidopsis were collected multiple times per day using commercial RGB cameras in a common garden in Switzerland for three seasons.,叶片色素含量的长期野外监测，有助于理解植物在与受控培养箱迥异的自然环境中的响应，但传统破坏性测量方法难以开展此类监测。我们开发了PlantServation方法，该方法集成了稳健的图像采集硬件与基于深度学习的软件，可通过自动识别植株个体来提取叶片色彩特征。作为案例研究，我们运用PlantServation方法，探究了由叶片色彩估算得到的花青素（anthocyanin）含量所受的环境与基因型效应。我们对野外环境下4种拟南芥（Arabidopsis）小型植株的超过400万张图像进行了分析，这些图像中的植株形态、色彩及背景随数月时间持续变化。前期辐射、低温与降水均对花青素含量产生了显著影响。人工合成的异源多倍体堪察加拟南芥（A. kamchatica）通过整合二倍体的响应特征，重现了天然多倍体的含量波动规律。本研究数据支持了一个长期存在的假说，即异源多倍体……。研究团队在瑞士的一处同质园中，使用商用RGB相机，连续三个生长季每日多次采集拟南芥的俯视图像。