Evolutionary trait-based approaches for predicting future global impacts of plant pathogens in the genus Phytophthora.
Evolutionary trait-based approaches for predicting future global impacts of plant pathogens in the genus Phytophthora.
复制标题
DOI：
10.1111/1365-2664.13820
复制
发表时间：
2021-04
期刊：
影响因子：
--
通讯作者：
Purse BV
中科院分区：
文献类型：
--
作者：
Barwell LJ;Perez-Sierra A;Henricot B;Harris A;Burgess TI;Hardy G;Scott P;Williams N;Cooke DEL;Green S;Chapman DS;Purse BV
随着全球连通性的增强，植物病原体被更频繁地引入新的地理区域。如果不深入了解它们的行为、分布和传播情况，预测它们对植物健康构成的威胁可能会很困难。在这里，我们评估了利用生物学特性和系统发育来预测来自新兴病原体的全球威胁的可能性。我们使用了一个物种级别的特征数据库和179个疫霉物种的系统发育：影响自然、农业、园艺和林业环境的卵菌病原体。我们汇编了178个国家的疫霉物种的寄主和分布报告，并评估了特征、系统发育和描述以来的时间(反映物种水平的知识)的力量，以使用贝叶斯系统发育广义线性混合模型来解释和预测它们的国际运输、最大纬度和寄主宽度。在表现最好的模型中，性状、系统发育和描述以来的时间共同解释了到达的国家数量、纬度限制和寄主范围的变异分别高达90%、97%和87%。性状和系统发育共同解释了到达的国家数目、最大纬度和寄主植物科的变异分别高达26%、41%和34%，但自描述以来的时间影响最大。在更多的国家、更多的寄主植物科上报道了根害种类，而不是叶害种类。寄主多面性病原菌具有较厚的休眠结构(耐胁迫卵孢子)，在其最适生长速度较快。更多的国家和高纬度地区报告了耐寒物种，尽管需要更准确的种间经验数据来证实这一发现。政策含义。我们评估了基于进化特征的框架的潜力，以支持水平扫描方法来识别具有更大全球规模影响潜力的病原体。未来来自疫霉的潜在威胁包括疫霉、乳疫霉、黄疫霉、印度疫霉、羊疫病菌和水疫霉，这些都是最近被描述的物种，可能没有得到足够的报道，具有与其他高影响物种相似的特征和/或系统发育。衡量新兴物种的优先性状可能是最低温度、卵孢子壁指数和最适温度下的生长速度。基于特征的水平扫描方法将受益于国际和跨部门合作的发展，以提供包含病原体分布、特征和系统发育的中央数据库。我们评估了基于进化特征的框架的潜力，以支持水平扫描方法来识别具有更大全球规模影响潜力的病原体。未来来自疫霉的潜在威胁包括疫霉、乳疫霉、黄疫霉、印度疫霉、羊疫病菌和水疫霉，这些都是最近被描述的物种，可能没有得到足够的报道，具有与其他高影响物种相似的特征和/或系统发育。衡量新兴物种的优先性状可能是最低温度、卵孢子壁指数和最适温度下的生长速度。基于特征的水平扫描方法将受益于国际和跨部门合作的发展，以提供包含病原体分布、特征和系统发育的中央数据库。
Plant pathogens are introduced to new geographical regions ever more frequently as global connectivity increases. Predicting the threat they pose to plant health can be difficult without in‐depth knowledge of behaviour, distribution and spread. Here, we evaluate the potential for using biological traits and phylogeny to predict global threats from emerging pathogens. We use a species‐level trait database and phylogeny for 179 Phytophthora species: oomycete pathogens impacting natural, agricultural, horticultural and forestry settings. We compile host and distribution reports for Phytophthora species across 178 countries and evaluate the power of traits, phylogeny and time since description (reflecting species‐level knowledge) to explain and predict their international transport, maximum latitude and host breadth using Bayesian phylogenetic generalised linear mixed models. In the best‐performing models, traits, phylogeny and time since description together explained up to 90%, 97% and 87% of variance in number of countries reached, latitudinal limits and host range, respectively. Traits and phylogeny together explained up to 26%, 41% and 34% of variance in the number of countries reached, maximum latitude and host plant families affected, respectively, but time since description had the strongest effect. Root‐attacking species were reported in more countries, and on more host plant families than foliar‐attacking species. Host generalist pathogens had thicker‐walled resting structures (stress‐tolerant oospores) and faster growth rates at their optima. Cold‐tolerant species are reported in more countries and at higher latitudes, though more accurate interspecific empirical data are needed to confirm this finding. Policy implications. We evaluate the potential of an evolutionary trait‐based framework to support horizon‐scanning approaches for identifying pathogens with greater potential for global‐scale impacts. Potential future threats from Phytophthora include Phytophthora x heterohybrida, P. lactucae, P. glovera, P. x incrassata, P. amnicola and P. aquimorbida, which are recently described, possibly under‐reported species, with similar traits and/or phylogenetic proximity to other high‐impact species. Priority traits to measure for emerging species may be thermal minima, oospore wall index and growth rate at optimum temperature. Trait‐based horizon‐scanning approaches would benefit from the development of international and cross‐sectoral collaborations to deliver centralised databases incorporating pathogen distributions, traits and phylogeny. We evaluate the potential of an evolutionary trait‐based framework to support horizon‐scanning approaches for identifying pathogens with greater potential for global‐scale impacts. Potential future threats from Phytophthora include Phytophthora x heterohybrida, P. lactucae, P. glovera, P. x incrassata, P. amnicola and P. aquimorbida, which are recently described, possibly under‐reported species, with similar traits and/or phylogenetic proximity to other high‐impact species. Priority traits to measure for emerging species may be thermal minima, oospore wall index and growth rate at optimum temperature. Trait‐based horizon‐scanning approaches would benefit from the development of international and cross‐sectoral collaborations to deliver centralised databases incorporating pathogen distributions, traits and phylogeny.
登录
查看更多内容
影响因子：
2.5
作者：
Crone, Michael;McComb, Jen A.;Hardy, Giles E. St J.
通讯作者：
Hardy, Giles E. St J.
影响因子：
9.8
作者：
Blackburn TM;Essl F;Evans T;Hulme PE;Jeschke JM;Kühn I;Kumschick S;Marková Z;Mrugała A;Nentwig W;Pergl J;Pyšek P;Rabitsch W;Ricciardi A;Richardson DM;Sendek A;Vilà M;Wilson JR;Winter M;Genovesi P;Bacher S
通讯作者：
Bacher S
影响因子：
64.8
作者：
Diaz, Sandra;Kattge, Jens;Gorne, Lucas D.
通讯作者：
Gorne, Lucas D.
影响因子：
3.9
作者：
Chapman, Daniel;Pescot, Oliver L.;Tanner, Rob
通讯作者：
Tanner, Rob
归化植物和入侵植物物种之间的性状差异与停留时间和系统发育无关。
DOI：
10.1111/cobi.12399
发表时间：
2015-04
期刊：
Conservation biology : the journal of the Society for Conservation Biology
影响因子：
--
作者：
Gallagher RV;Randall RP;Leishman MR
通讯作者：
Leishman MR