Kuhlgert Sebastian, Austic Greg, Zegarac Robert, Osei-Bonsu Isaac, Hoh Donghee, Chilvers Martin I, Roth Mitchell G, Bi Kevin, TerAvest Dan, Weebadde Prabode, Kramer David M
MSU-DOE-Plant Research Laboratory , Michigan State University , East Lansing, MI , USA.
Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI, USA; Genetics Graduate Program, Michigan State University, East Lansing, MI, USA.
R Soc Open Sci. 2016 Oct 26;3(10):160592. doi: 10.1098/rsos.160592. eCollection 2016 Oct.
Large-scale high-throughput plant phenotyping (sometimes called phenomics) is becoming increasingly important in plant biology and agriculture and is essential to cutting-edge plant breeding and management approaches needed to meet the food and fuel needs for the next century. Currently, the application of these approaches is severely limited by the availability of appropriate instrumentation and by the ability to communicate experimental protocols, results and analyses. To address these issues, we have developed a low-cost, yet sophisticated open-source scientific instrument designed to enable communities of researchers, plant breeders, educators, farmers and citizen scientists to collect high-quality field data on a large scale. The MultispeQ provides measurements in the field or laboratory of both, environmental conditions (light intensity and quality, temperature, humidity, CO levels, time and location) and useful plant phenotypes, including photosynthetic parameters-photosystem II quantum yield (), non-photochemical exciton quenching (NPQ), photosystem II photoinhibition, light-driven proton translocation and thylakoid proton motive force, regulation of the chloroplast ATP synthase and potentially many others-and leaf chlorophyll and other pigments. Plant phenotype data are transmitted from the MultispeQ to mobile devices, laptops or desktop computers together with key metadata that gets saved to the PhotosynQ platform (https://photosynq.org) and provides a suite of web-based tools for sharing, visualization, filtering, dissemination and analyses. We present validation experiments, comparing MultispeQ results with established platforms, and show that it can be usefully deployed in both laboratory and field settings. We present evidence that MultispeQ can be used by communities of researchers to rapidly measure, store and analyse multiple environmental and plant properties, allowing for deeper understanding of the complex interactions between plants and their environment.
大规模高通量植物表型分析(有时也称为植物表型组学)在植物生物学和农业领域正变得越来越重要,对于满足下个世纪的粮食和燃料需求所必需的前沿植物育种及管理方法而言至关重要。目前,这些方法的应用受到合适仪器可用性以及实验方案、结果和分析交流能力的严重限制。为解决这些问题,我们开发了一种低成本但精密的开源科学仪器,旨在使研究人员、植物育种者、教育工作者、农民和公民科学家群体能够大规模收集高质量的田间数据。多功能光合表型测量仪(MultispeQ)可在田间或实验室测量环境条件(光照强度和质量、温度、湿度、一氧化碳水平、时间和位置)以及有用的植物表型,包括光合参数——光系统II量子产率()、非光化学激子猝灭(NPQ)、光系统II光抑制、光驱动质子转运和类囊体质子动力、叶绿体ATP合酶的调节以及可能的许多其他参数——以及叶片叶绿素和其他色素。植物表型数据从MultispeQ传输到移动设备、笔记本电脑或台式计算机,同时关键元数据会保存到光合数据平台(https://photosynq.org),该平台提供了一套基于网络的工具用于共享、可视化、筛选、传播和分析。我们展示了验证实验,将MultispeQ的结果与既定平台进行比较,并表明它可有效地部署在实验室和田间环境中。我们提供的证据表明,研究人员群体可以使用MultispeQ快速测量、存储和分析多种环境和植物特性,从而更深入地了解植物与其环境之间的复杂相互作用。