Macedo Renan, Sales Lilian Patrícia, Yoshida Fernanda, Silva-Abud Lidianne Lemes, Lobo Murillo
Universidade Federal de Goiás, Escola de Agronomia e Engenharia de Alimentos, Goiânia, GO, Brazil.
Universidade Federal de Goiás, Departamento de Ecologia e Evolução, Goiânia, GO, Brazil.
PLoS One. 2017 Nov 6;12(11):e0187770. doi: 10.1371/journal.pone.0187770. eCollection 2017.
Root rots are a constraint for staple food crops and a long-lasting food security problem worldwide. In common beans, yield losses originating from root damage are frequently attributed to dry root rot, a disease caused by the Fusarium solani species complex. The aim of this study was to model the current potential distribution of common bean dry root rot on a global scale and to project changes based on future expectations of climate change. Our approach used a spatial proxy of the field disease occurrence, instead of solely the pathogen distribution. We modeled the pathogen environmental requirements in locations where in-situ inoculum density seems ideal for disease manifestation. A dataset of 2,311 soil samples from commercial farms assessed from 2002 to 2015 allowed us to evaluate the environmental conditions associated with the pathogen's optimum inoculum density for disease occurrence, using a lower threshold as a spatial proxy. We encompassed not only the optimal conditions for disease occurrence but also the optimal pathogen's density required for host infection. An intermediate inoculum density of the pathogen was the best disease proxy, suggesting density-dependent mechanisms on host infection. We found a strong convergence on the environmental requirements of both the host and the disease development in tropical areas, mostly in Brazil, Central America, and African countries. Precipitation and temperature variables were important for explaining the disease occurrence (from 17.63% to 43.84%). Climate change will probably move the disease toward cooler regions, which in Brazil are more representative of small-scale farming, although an overall shrink in total area (from 48% to 49% in 2050 and 26% to 41% in 2070) was also predicted. Understanding pathogen distribution and disease risks in an evolutionary context will therefore support breeding for resistance programs and strategies for dry root rot management in common beans.
根腐病是主粮作物面临的一大制约因素,也是全球长期存在的粮食安全问题。在普通菜豆中,因根部受损导致的产量损失通常归因于干根腐病,这是一种由茄科镰刀菌复合种引起的病害。本研究的目的是在全球范围内模拟普通菜豆干根腐病当前的潜在分布,并根据对气候变化的未来预期预测其变化情况。我们的方法使用了田间病害发生情况的空间代理指标,而不是仅依靠病原体的分布。我们在原位接种体密度似乎最适合病害显现的地点,对病原体的环境需求进行了建模。2002年至2015年期间对商业农场采集的2311份土壤样本数据集,使我们能够以较低阈值作为空间代理指标,评估与病原体导致病害发生的最佳接种体密度相关的环境条件。我们不仅考虑了病害发生的最佳条件,还考虑了宿主感染所需的最佳病原体密度。病原体的中等接种体密度是最佳的病害代理指标,这表明存在宿主感染的密度依赖机制。我们发现,在热带地区,主要是巴西、中美洲和非洲国家,宿主和病害发展的环境需求有很强的趋同性。降水和温度变量对于解释病害发生情况很重要(占17.63%至43.84%)。气候变化可能会使这种病害向较凉爽的地区转移,在巴西,这些地区更具小规模农业的代表性,不过预计总面积也会整体缩小(2050年从48%降至49%,2070年从26%降至41%)。因此,在进化背景下了解病原体分布和病害风险,将有助于支持普通菜豆抗根腐病育种计划和管理策略。