Novel rapid screening assay to incorporate complexity and increase throughput in early-stage plant biological testing

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Sabrina M. Pittroff, Alexander R. Brems, Rune J. Brunshøj, Johan V. Christiansen, Emma Melgaard, Morten Lindqvist Hansen, David Llorente Corcoles, Jonathan Funk, Vilhelm K. Møller, Søren D. Petersen, Rasmus J.N. Frandsen, Niels B. Jensen, Lars Jelsbak
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引用次数: 0

Abstract

The search for new biological products with a positive impact on crop performance is typically initiated by laboratory based in vitro assays. However, live plants and their associated microbes are often removed from in vitro testing assays as a way to reduce biological complexity (variation) and facilitate molecular techniques in the pursuit of uncovering mode-of-action (MoA) mechanisms. Nevertheless, when studying biological candidates intended for use in agriculture, it is essential to incorporate this complexity and validate mechanisms under conditions as close to in situ as possible in order to understand the capacities and MoA of the biologicals in the intended application environments. To address this paradox, we have developed a high-capacity early-stage plant assay that incorporates a live non-sterile plant while also enabling molecular MoA investigations, and that can be conducted in laboratories without greenhouse facilities. The high-capacity design features plants grown in 8-chamber transparent boxes to allow for multiplex imaging and increased biological replicates for greater statistical power. The transparent box design allows the visualization of shoots, roots, tagged-microbes, or visible substrates, and further non-destructive access to shoots or roots for sampling. The boxes are held in racks that hold eight plant boxes during growth in a 19 by 17 cm space, further increasing the throughput to >670 plants per m2 and easing the logistical challenges of plant assays. Furthermore, the box can support various levels of microbial complexity with the option to select the plant growth medium that meets experimental objectives, as well as using sterile or non-sterile seeds. A script-based post-imaging quantification was developed to automate image processing and allow for individual plant readings, further enabling increased statistical confidence. As proof of concept, we use the high-capacity plant system to evaluate the biocontrol potential of Pseudomonas protegens and the biostimulation potential of Pseudomonas koreensis, and are in both cases able to show statistically significant differing plant biomass between treatments under these closer-to-nature conditions. We further demonstrate that the high-capacity plant system is suitable for paired molecular investigations by performing metabolomics and qPCR DNA quantification directly from the plant box to explore in situ chemical MoA, as well as confirm the survival of the P. protegens strains to validate their role in the improved plant phenotype. In conclusion, the study presents a modular high-capacity plant assay system that enables increased throughput functional testing of microbial biocontrol and biostimulant candidates in planta. This novel assaying system saves time, reduces human error, provides quantitative and non-destructive in planta data, and can be used in laboratories without greenhouse facilities. We therefore believe it provides a potent early-stage testing option that bridges in vitro and greenhouse testing, and will expedite the discovery of superior next-generation biological products in agriculture.

新型快速筛选测定法可在早期植物生物测试中考虑复杂性并提高通量
寻找对作物生长有积极影响的新型生物产品通常是通过实验室体外试验来进行的。然而,活体植物及其相关微生物往往被排除在体外试验之外,以降低生物复杂性(变异)并促进分子技术的发展,从而揭示作用模式(MoA)机制。然而,在研究拟用于农业的候选生物时,必须将这种复杂性纳入其中,并在尽可能接近原位的条件下验证机制,以了解生物在预期应用环境中的能力和作用模式。为了解决这一矛盾,我们开发了一种高容量的早期植物检测方法,该方法结合了非无菌活体植物,同时还能进行分子分子行为学研究,并且可以在没有温室设施的实验室中进行。高容量设计的特点是植物生长在 8 室透明箱中,可进行多重成像,并增加生物重复数以提高统计能力。透明箱的设计允许对芽、根、标记微生物或可见基质进行可视化,并可进一步对芽或根进行非破坏性取样。在 19 x 17 厘米的空间内,植物盒可放置在可容纳 8 个植物盒的架子上,从而将吞吐量进一步提高到每平方米 670 个植物,并减轻了植物检测的物流挑战。此外,植物箱还可以支持各种复杂程度的微生物,选择符合实验目标的植物生长培养基,以及使用无菌或非无菌种子。我们还开发了基于脚本的成像后量化功能,以实现图像处理的自动化,并允许对单个植物进行读数,从而进一步提高统计置信度。作为概念验证,我们使用大容量植物系统评估了蛋白假单胞菌的生物防治潜力和韩国假单胞菌的生物刺激潜力,在这两种情况下,都能在更接近自然的条件下显示出不同处理之间在统计学上显著不同的植物生物量。我们还进一步证明,大容量植物系统适用于配对分子研究,可直接从植物箱中进行代谢组学和 qPCR DNA 定量,以探索原位化学摩尔效应,并确认 P. protegens 菌株的存活,以验证它们在改善植物表型中的作用。总之,该研究提出了一种模块化高容量植物检测系统,可提高植物体内微生物生物控制和生物刺激候选菌功能测试的通量。这种新型检测系统可节省时间、减少人为错误、提供定量和非破坏性的植物体数据,并可在没有温室设施的实验室中使用。因此,我们相信它提供了一种有效的早期测试选择,在体外测试和温室测试之间架起了一座桥梁,并将加快发现优质的下一代农业生物产品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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