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Article Dans Une Revue Computational and Structural Biotechnology Journal Année : 2020

Phytophthora zoospores: From perception of environmental signals to inoculum formation on the host-root surface

Ilaria Bassani
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Quang Tran
Agnès Attard

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To explore moist soils and to target host plants, phytopathogenic Phytophthora species utilize the sensory and propulsion capabilities of the biflagellate unicellular zoospores they produce. Zoospore motion and interactions with the microenvironment are of primary importance for Phytophthora physiology. These are also of critical significance for plant pathology in early infection sequential events and their regulation: the directed zoospore migration toward the host, the local aggregation and adhesion at the host penetration site. In the soil, these early events preceding the root colonization are orchestrated by guidance factors, released from the soil particles in water films, or emitted within microbiota and by host plants. This signaling network is perceived by zoospores and results in coordinated behavior and preferential localization in the rhizosphere. Recent computational and structural studies suggest that rhizospheric ion and plant metabolite sensing is a key determinant in driving zoospore motion, orientation and aggregation. To reach their target, zoospores respond to various molecular, chemical and electrical stimuli. However, it is not yet clear how these signals are generated in local soil niches and which gene functions govern the sensing and subsequent responses of zoospores. Here we review studies on the soil, microbial and host-plant factors that drive zoospore motion, as well as the adaptations governing zoospore behavior. We propose several research directions that could be explored to characterize the role of zoospore microbial ecology in disease.
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hal-03098346 , version 1 (05-01-2021)

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Ilaria Bassani, Marie Larousse, Quang Tran, Agnès Attard, Eric Galiana. Phytophthora zoospores: From perception of environmental signals to inoculum formation on the host-root surface. Computational and Structural Biotechnology Journal, 2020, 18, pp.3766-3773. ⟨10.1016/j.csbj.2020.10.045⟩. ⟨hal-03098346⟩
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