Centre for Phytophthora Science and Management, School of Veterinary and Life Sciences, Murdoch University, Murdoch, WA, 6150, Australia.
School of Animal Biology, The University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia.
Glob Chang Biol. 2017 Apr;23(4):1661-1674. doi: 10.1111/gcb.13492. Epub 2016 Oct 11.
Globally, Phytophthora cinnamomi is listed as one of the 100 worst invasive alien species and active management is required to reduce impact and prevent spread in both horticulture and natural ecosystems. Conversely, there are regions thought to be suitable for the pathogen where no disease is observed. We developed a climex model for the global distribution of P. cinnamomi based on the pathogen's response to temperature and moisture and by incorporating extensive empirical evidence on the presence and absence of the pathogen. The climex model captured areas of climatic suitability where P. cinnamomi occurs that is congruent with all available records. The model was validated by the collection of soil samples from asymptomatic vegetation in areas projected to be suitable by the model for which there were few records. DNA was extracted, and the presence or absence of P. cinnamomi was determined by high-throughput sequencing (HTS). While not detected using traditional isolation methods, HTS detected P. cinnamomi at higher elevations in eastern Australia and central Tasmania as projected by the climex model. Further support for the climex model was obtained using the large data set from south-west Australia where the proportion of positive records in an area is related to the Ecoclimatic Index value for the same area. We provide for the first time a comprehensive global map of the current P. cinnamomi distribution, an improved climex model of the distribution, and a projection to 2080 of the distribution with predicted climate change. This information provides the basis for more detailed regional-scale modelling and supports risk assessment for governments to plan management of this important soil-borne plant pathogen.
全球范围内,樟疫霉被列为 100 种最具破坏力的外来入侵物种之一,需要采取积极的管理措施,以减少园艺和自然生态系统中的影响并防止其传播。相反,在一些被认为适合该病原体生存的地区,实际上并没有观察到病害。我们基于病原体对温度和湿度的响应,以及包含大量有关病原体存在和不存在的经验证据,开发了樟疫霉全球分布的 climex 模型。climex 模型捕捉到了与所有现有记录一致的樟疫霉发生的气候适宜区域。该模型通过从模型预测的适宜区域中采集无症状植被的土壤样本进行验证,这些样本的记录很少。从土壤样本中提取 DNA,并通过高通量测序(HTS)确定樟疫霉的存在与否。虽然使用传统的分离方法未检测到,但 HTS 在澳大利亚东部和塔斯马尼亚中部的高海拔地区检测到了 climex 模型预测的樟疫霉,这进一步验证了 climex 模型的准确性。在澳大利亚西南部的大型数据集的支持下,进一步证实了 climex 模型的可靠性,该数据集与同一地区的生态气候指数值相关,反映了该地区阳性记录的比例。我们首次提供了当前樟疫霉分布的综合全球地图、分布的改进 climex 模型以及 2080 年预测气候变化的分布预测。这些信息为更详细的区域尺度建模提供了基础,并为政府规划这种重要的土壤传播植物病原体的管理提供了风险评估支持。