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膜蛋白质组分析鉴定出寄生疫霉游动孢子中感知的关键组分。

Membrane proteome analysis identifies key components of sensing in Phytophthora parasitica zoospores.

作者信息

Lupatelli C A, Seassau A, Magliano M, Kuhn M L, Rey A, Poët M, Counillon L, Evangelisti E, Thomen P, Attard A, Noblin X, Galiana E

机构信息

Université Côte d'Azur, INRAE, CNRS, ISA, Sophia Antipolis, France.

Université Côte d'Azur, CNRS UMR 7010, Institut de Physique de Nice, Nice, France.

出版信息

Sci Rep. 2025 Jul 2;15(1):23500. doi: 10.1038/s41598-025-08701-z.

Abstract

Phytophthora plant pathogens rely on motile biflagellated zoospores to efficiently locate and colonise host tissues. While rhizospheric signals guiding zoospore movement toward roots are known, the protein composition of membranes mediating these responses remains unclear. Here, we used liquid chromatography with tandem mass spectrometry (LC-MS/MS) and proteomic data mining to analyse membrane fractions from the flagella and cell bodies of Phytophthora parasitica zoospores. Major classes of membrane proteins (receptors, transporters and enzymes) were identified and their subcellular distribution between flagella and cell bodies quantified. Immunolocalization revealed that while most membrane proteins are evenly distributed, a subset localizes to the flagella, suggestive of specialized roles in sensing and movement regulation, particularly for sterol recruitment and ion flux variations. These findings advance our understanding of protein-mediated dispersal and host targeting by zoospores and support the hypothesis that zoospores use polarized signal perception mechanisms for environmental sensing and movement.

摘要

疫霉属植物病原体依靠具双鞭毛的游动孢子有效地定位并侵染宿主组织。虽然已知根际信号引导游动孢子向根移动,但介导这些反应的膜蛋白组成仍不清楚。在这里,我们使用液相色谱串联质谱法(LC-MS/MS)和蛋白质组数据挖掘来分析寄生疫霉游动孢子鞭毛和细胞体的膜组分。鉴定了主要的膜蛋白类别(受体、转运蛋白和酶),并对它们在鞭毛和细胞体之间的亚细胞分布进行了量化。免疫定位显示,虽然大多数膜蛋白均匀分布,但有一部分定位于鞭毛,这表明它们在感知和运动调节中具有特殊作用,特别是在甾醇募集和离子通量变化方面。这些发现推进了我们对游动孢子蛋白质介导的传播和宿主靶向的理解,并支持了游动孢子利用极化信号感知机制进行环境感知和运动的假设。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11f2/12223298/e7265357e713/41598_2025_8701_Fig1_HTML.jpg

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