Advancing forest pathology: the need for community-driven molecular experimental model systems

推进森林病理学研究:需要社区驱动的分子实验模型系统

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Abstract

Forests world-wide are under escalating threat from emerging and invasive fungal and oomycete pathogens, driven by globalization and shifting climate dynamics. Effective strategies to manage the current scale and rate of changes in forest health remain hindered by our limited ability to study the underlying mechanisms of pathogen-host and pathogen-microbiome interactions, especially at a molecular and cellular level, compared to general plant pathology, where experimental and model systems exist. Such models facilitate the integration of diverse methodologies from a broader base of the research community, allowing for a more holistic and deeper examination of complex research questions. Here, we propose a framework for the development of such model systems also for forest pathology. This goal is more feasible than ever, thanks to rapid technological advancements, increasing open data availability and a globally interconnected research community. These factors create a unique opportunity to integrate ecosystem-focused research in forest pathology with a unified model organism strategy. Achieving this goal will require a dedicated community effort in the coming years, as such model systems are not discovered but built.

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