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首页> 外文期刊>Frontiers in Applied Mathematics and Statistics >Combining Phylogenetic and Occurrence Information for Risk Assessment of Pest and Pathogen Interactions with Host Plants
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Combining Phylogenetic and Occurrence Information for Risk Assessment of Pest and Pathogen Interactions with Host Plants

机译：结合系统发生信息和发生信息进行病虫和病原体与寄主植物相互作用的风险评估

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Phytosanitary agencies conduct plant biosecurity activities, including early detection of potential introduction pathways, to improve control and eradication of pest and pathogen incursions. For such actions, analytical tools based on solid scientific knowledge regarding plant-pest or pathogen relationships for pest risk assessment are needed. Recent evidence indicating that closely related species share a higher chance of becoming infected or attacked by pests has allowed the identification of taxa with different degrees of vulnerability. Here, we use information readily available online about pest-host interactions and their geographic distributions, in combination with host phylogenetic reconstructions, to estimate a pest-host interaction (in some cases infection) index in geographic space as a more comprehensive, spatially explicit tool for risk assessment. We demonstrate this protocol using phylogenetic relationships for 20 beetle species and 235 host plant genera: first, we estimate the probability of a host sharing pests, and second, we project the index in geographic space. Overall, the predictions allow identification of the pest-host interaction type (e.g., generalist or specialist), which is largely determined by both host range and phylogenetic constraints. Furthermore, the results can be valuable in terms of identifying hotspots where pests and vulnerable hosts interact. This knowledge is useful for anticipating biological invasions or spreading of disease. We suggest that our understanding of biotic interactions will improve after combining information from multiple dimensions of biodiversity at multiple scales (e.g., phylogenetic signal and host-vector-pathogen geographic distribution).
机译：植物检疫机构开展植物生物安全活动，包括及早发现潜在的引入途径，以改善对有害生物和病原体入侵的控制和根除。对于此类行动，需要基于有关植物害虫或病原体关系的扎实科学知识的分析工具，以进行有害生物风险评估。最近的证据表明，密切相关的物种有更高的机会被害虫感染或攻击，这使得鉴定具有不同程度脆弱性的分类单元成为可能。在这里，我们结合害虫与宿主的相互作用及其地理分布，结合宿主系统发生的重建，利用在线上容易获得的信息来估计地理空间中的害虫与宿主相互作用（在某些情况下为感染）指数，以此作为更全面，明确的空间工具用于风险评估。我们使用20种甲虫物种和235个寄主植物属的系统发育关系论证了该协议：首先，我们估算了寄主共享害虫的可能性，其次，我们在地理空间中预测了该指数。总体而言，这些预测可以确定有害生物与宿主之间的相互作用类型（例如，通才或专家），这在很大程度上取决于宿主范围和系统发育限制。此外，该结果对于确定有害生物和易受害宿主相互作用的热点可能是有价值的。该知识对于预期疾病的生物入侵或传播是有用的。我们建议，在结合了来自生物多样性的多个维度，不同规模的信息（例如系统发育信号和宿主-载体-病原体地理分布）后，我们对生物相互作用的理解将得到改善。

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