Schikora Marek, Schikora Adam
Fraunhofer Institute for Communication, Information Processing and Ergonomics FKIE, Fraunhoferstrasse 20, 53343 Wachtberg, Germany.
Institute for Phytopathology and Applied Zoology, IFZ, JLU Giessen, 35392 Giessen, Germany.
Comput Struct Biotechnol J. 2014 Sep 28;12(20-21):1-6. doi: 10.1016/j.csbj.2014.09.010. eCollection 2014 Nov.
Our growing awareness that contaminated plants, fresh fruits and vegetables are responsible for a significant proportion of food poisoning with pathogenic microorganisms indorses the demand to understand the interactions between plants and human pathogens. Today we understand that those pathogens do not merely survive on or within plants, they actively infect plant organisms by suppressing their immune system. Studies on the infection process and disease development used mainly physiological, genetic, and molecular approaches, and image-based analysis provides yet another method for this toolbox. Employed as an observational tool, it bears the potential for objective and high throughput approaches, and together with other methods it will be very likely a part of data fusion approaches in the near future.
我们越来越意识到,受污染的植物、新鲜水果和蔬菜是导致相当一部分致病性微生物食物中毒的原因,这支持了人们对了解植物与人类病原体之间相互作用的需求。如今我们明白,这些病原体不仅仅在植物上或植物体内存活,它们还通过抑制植物的免疫系统来主动感染植物有机体。对感染过程和疾病发展的研究主要采用生理学、遗传学和分子学方法,而基于图像的分析为这个工具库提供了另一种方法。作为一种观测工具,它具有实现客观和高通量方法的潜力,并且与其他方法一起,很可能在不久的将来成为数据融合方法的一部分。