PAT(外皮评估工具包):用于外皮测量的大规模定量筛选方法。

IF 7.6 1区 农林科学 Q1 AGRONOMY Plant Phenomics Pub Date : 2024-03-29 eCollection Date: 2024-01-01 DOI:10.34133/plantphenomics.0156
Gonzalo Villarino, Signe Dahlberg-Wright, Ling Zhang, Marianne Schaedel, Lin Wang, Karyssa Miller, Jack Bartlett, Albert Martin Dang Vu, Wolfgang Busch
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引用次数: 0

摘要

表皮是一种重要的保护组织,存在于各种植物的根、茎和木质部。它在这些植物中发挥着重要的功能,扮演着表皮最外层的角色。尽管根外皮在保护植物免受环境压力和病原体侵袭方面起着至关重要的作用,但由于根外皮在根系发育过程中形成较晚,仅存在于成熟的根部区域,而且不透水,因此对根外皮发育的研究一直很有限。比较不同基因型和处理之间根外皮形成的最直接测量方法之一是根外皮(phellem)长度。我们开发了 PAT(外皮评估工具包),这是一个高通量的用户友好型管道,集成了高效染色方案、自动成像和基于深度学习的图像分析方法,可准确检测和测量拟南芥根部的外皮长度。我们使用 20 个拟南芥天然品种的不同集合评估了我们方法的可靠性和可重复性。我们的自动测量结果与人类专家生成的测量结果具有很强的相关性,外皮长度定量效率高达 94%。这种强大的 PAT 管道简化了大规模的外皮测量,从而能够促进全面的遗传研究和筛选。虽然拟南芥根的自动数字显微镜证明 PAT 非常有效,但它的应用可能会给非自动显微镜带来挑战。虽然工作流程和原理可以适用于其他植物物种,但还需要进一步优化。虽然我们证明了外皮长度可用于区分外皮发育受损的突变体与野生型,但我们也发现它是一种可塑性状。因此,必须注意包括足够的重复和对照,尽量减少变异,并确保不同基因型和生长条件下的外皮长度测量结果具有可比性。
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PAT (Periderm Assessment Toolkit): A Quantitative and Large-Scale Screening Method for Periderm Measurements.

The periderm is a vital protective tissue found in the roots, stems, and woody elements of diverse plant species. It plays an important function in these plants by assuming the role of the epidermis as the outermost layer. Despite its critical role for protecting plants from environmental stresses and pathogens, research on root periderm development has been limited due to its late formation during root development, its presence only in mature root regions, and its impermeability. One of the most straightforward measurements for comparing periderm formation between different genotypes and treatments is periderm (phellem) length. We have developed PAT (Periderm Assessment Toolkit), a high-throughput user-friendly pipeline that integrates an efficient staining protocol, automated imaging, and a deep-learning-based image analysis approach to accurately detect and measure periderm length in the roots of Arabidopsis thaliana. The reliability and reproducibility of our method was evaluated using a diverse set of 20 Arabidopsis natural accessions. Our automated measurements exhibited a strong correlation with human-expert-generated measurements, achieving a 94% efficiency in periderm length quantification. This robust PAT pipeline streamlines large-scale periderm measurements, thereby being able to facilitate comprehensive genetic studies and screens. Although PAT proves highly effective with automated digital microscopes in Arabidopsis roots, its application may pose challenges with nonautomated microscopy. Although the workflow and principles could be adapted for other plant species, additional optimization would be necessary. While we show that periderm length can be used to distinguish a mutant impaired in periderm development from wild type, we also find it is a plastic trait. Therefore, care must be taken to include sufficient repeats and controls, to minimize variation, and to ensure comparability of periderm length measurements between different genotypes and growth conditions.

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来源期刊
Plant Phenomics
Plant Phenomics Multiple-
CiteScore
8.60
自引率
9.20%
发文量
26
审稿时长
14 weeks
期刊介绍: Plant Phenomics is an Open Access journal published in affiliation with the State Key Laboratory of Crop Genetics & Germplasm Enhancement, Nanjing Agricultural University (NAU) and published by the American Association for the Advancement of Science (AAAS). Like all partners participating in the Science Partner Journal program, Plant Phenomics is editorially independent from the Science family of journals. The mission of Plant Phenomics is to publish novel research that will advance all aspects of plant phenotyping from the cell to the plant population levels using innovative combinations of sensor systems and data analytics. Plant Phenomics aims also to connect phenomics to other science domains, such as genomics, genetics, physiology, molecular biology, bioinformatics, statistics, mathematics, and computer sciences. Plant Phenomics should thus contribute to advance plant sciences and agriculture/forestry/horticulture by addressing key scientific challenges in the area of plant phenomics. The scope of the journal covers the latest technologies in plant phenotyping for data acquisition, data management, data interpretation, modeling, and their practical applications for crop cultivation, plant breeding, forestry, horticulture, ecology, and other plant-related domains.
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