Climate change and plant pathogens: Understanding dynamics, risks and mitigation strategies

被引:2
|
作者
Kumar, Deepak [1 ]
Mukhopadhyay, Ria [2 ]
机构
[1] Uttar Banga Krishi Viswavidyalaya, Coll Agr, Dept Biochem, Majhian, West Bengal, India
[2] Swami Vivekananda Univ, Sch Agr, Barakpur 700121, West Bengal, India
关键词
behaviour; climate change; disease risk model; plant pathogens; ELEVATED-TEMPERATURE; ENHANCES VIRULENCE; FOOD SECURITY; MOSAIC-VIRUS; DISEASE; INFECTION; CO2; SEVERITY; EXPRESSION; RESISTANT;
D O I
10.1111/ppa.14033
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Climate change is reshaping the interactions between plants and pathogens, exerting profound effects on global agricultural systems. Elevated tropospheric ozone levels due to climate change hinder plant photosynthesis and increase vulnerability to biotic invasion. The prevailing atmospheric conditions, including temperature and humidity, profoundly influence fungal pathogenesis, as each stage of a pathogen's life cycle is intricately linked to temperature variations. Likewise, climate change alters bacterial behaviour, fostering increased production of extracellular polysaccharides by plant-pathogenic bacteria in warmer temperatures. Heat-adapted bacteria, such as Burkholderia glumea and Ralstonia solanacearum, are emerging as significant global threats as temperature rise. Viruses, too, respond dynamically to climate shifts, with certain species favouring warmer climates for replication, resulting in expanded geographical ranges and modified transmission patterns. Nematodes, formidable constraints in crop production, exhibit temperature-dependent life cycles and would have potentially accelerated proliferation and distribution as global warming progresses. Molecular-level changes in pathogenesis, induced by temperature fluctuations, influence various pathogens, thereby impacting their virulence and interactions with host plants. Modelling studies predict changes in disease risks and distributions under future climate scenarios, highlighting the necessity of integrating climate data into crop disease models for accurate forecasts. Mechanistic and observational models illustrate pathogen behaviours amidst changing environmental conditions, providing crucial insights into future disease dynamics. In addition, controlled experiments study disease responses under simulated climate scenarios, underscoring the urgency for comprehensive research to devise effective resistance strategies against severe plant diseases.
引用
收藏
页码:59 / 68
页数:10
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