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在结节过程中豆类-生菌共生中的宿主特异性光动态

Chandan K Gautam¹, Gayathri Senanayake¹, Amanda B Pease¹

¹Department of Microbiological Sciences, North Dakota State University, Fargo, North Dakota, USA.

Applied and environmental microbiology

|January 16, 2026

概括

由酶系统促进体 (PnifH) 驱动的新型光记者 (sfYFP和sfCFP) 能够有效地可视化和量化豆类-生菌共生. 这些工具有助于研究固和植物微生物相互作用.

科学领域:

植物与微生物的相互作用
可持续农业可持续农业
分子生物学分子生物学

背景情况:

在可持续农业中,豆类 - 生菌共生对于生物固是至关重要的.
实时可视化和量化这种共生是技术上具有挑战性的.
现有的工具在不同的宿主植物中缺乏广泛的适用性.

研究的目的:

为了评估酶系统促进剂 (PnifH) 在豆类根结节中驱动光报告者的疗效.
开发可靠的工具来可视化和量化豆类-豆的相互作用.
建立一个可扩展的框架,用于对共生动态的高吞吐量分析.

主要方法:

超级黄光蛋白 (sfYFP) 和超级蓝光蛋白 (sfCFP) 报告员的系统评估.
测试红色光蛋白 (RFP),包括单体和多体变体.
使用确定的 (Lotus japonicus) 和不确定的 (Pisum sativum) 结节系统.
开发基于深度学习的图像分析管道.

主要成果:

PnifH驱动的sfYFP和sfCFP在两个宿主系统中都表现出强烈,均和可重复的光.
红色光蛋白显示出弱或不一致的信号,特别是在豆结节中.
光标签并没有影响根茎菌在结节占用方面的竞争力.
sfYFP和sfCFP记者能够进行强大的多重成像和定量分析.
mScarlet-I在莲花中证明有效,用于三方菌株标签.

结论:

以PnifH驱动的sfYFP和sfCFP是豆类-生体共生研究的广泛适用和可靠的报道者.
针对某些应用,需要优化红色光体.
集成的分子和计算工具包提供了一个可扩展的框架,用于剖析植物-微生物相互关系.

关键词:

深度学习是一种深度学习.光生物传递器是光生物传递器豆类豆类豆类豆类结节是指结节的形成.草根植物 (Rhizobia) 是一种植物.

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