Modeling plant diseases under climate change: evolutionary perspectives

文献类型： 外文期刊

第一作者： Yang, Li -Na

作者： Yang, Li -Na;Ren, Maozhi;Zhan, Jiasui

作者机构：

期刊名称：TRENDS IN PLANT SCIENCE （ 影响因子：20.5； 五年影响因子：22.5 ）

ISSN： 1360-1385

年卷期： 2023 年 28 卷 5 期

页码：

收录情况： SCI

摘要： Infectious plant diseases are a major threat to global agricultural productivity, economic development, and ecological integrity. There is widespread concern that these social and natural disasters caused by infectious plant diseases may escalate with climate change and computer modeling offers a unique opportu-nity to address this concern. Here, we analyze the intrinsic problems associated with current modeling strategies and highlight the need to integrate evolutionary principles into polytrophic, eco-evolutionary frameworks to improve predictions. We particularly discuss how evolutionary shifts in functional trade-offs, relative adaptability between plants and pathogens, ecosystems, and climate preferences induced by climate change may feedback to future plant disease epidemics and how technological advances can facilitate the generation and integration of this relevant knowledge for better modeling predictions.

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