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在不同气候条件下加利福尼亚森林中空中和地面种群的疫霉种群动态。

Population dynamics of aerial and terrestrial populations of Phytophthora ramorum in a California forest under different climatic conditions.

出版信息

Phytopathology. 2013 Nov;103(11):1141-52. doi: 10.1094/PHYTO-11-12-0290-R.

Abstract

Limited information is available on how soil and leaf populations of the sudden oak death pathogen, Phytophthora ramorum, may differ in their response to changing weather conditions, and their corresponding role in initiating the next disease cycle after unfavorable weather conditions. We sampled and cultured from 425 trees in six sites, three times at the end of a 3-year-long drought and twice during a wet year that followed. Soil was also sampled twice with similar frequency and design used for sampling leaves. Ten microsatellites were used for genetic analyses on cultures from successful isolations. Results demonstrated that incidence of leaf infection tripled at the onset of the first wet period in 3 years in spring 2010, while that of soil populations remained unchanged. Migration of genotypes among sites was low and spatially limited under dry periods but intensity and range of migration of genotypes significantly increased for leaf populations during wet periods. Only leaf genotypes persisted significantly between years, and genotypes present in different substrates distributed differently in soil and leaves. We conclude that epidemics start rapidly at the onset of favorable climatic conditions through highly transmissible leaf genotypes, and that soil populations are transient and may be less epidemiologically relevant than previously thought.

摘要

有关土壤和叶片中美洲核盘菌(Phytophthora ramorum)种群在应对气候变化时的反应有何不同,以及它们在不利天气条件后引发下一个疾病周期中各自的作用,相关信息有限。我们从六个地点的 425 棵树上进行了采样和培养,在长达三年的干旱末期进行了三次,在随后的湿润年份进行了两次。土壤也以类似的频率和设计进行了两次采样,与叶片采样相同。在成功分离的培养物上使用了十个微卫星进行遗传分析。结果表明,2010 年春季第一次湿润期开始时,叶片感染的发生率在三年内增加了两倍,而土壤种群则保持不变。在干旱期,基因型在地点之间的迁移率较低且空间有限,但在湿润期,叶片种群的基因型迁移强度和范围显著增加。只有叶片基因型在不同年份之间显著存在,并且不同基质中的基因型在土壤和叶片中的分布不同。我们得出的结论是,通过高传染性的叶片基因型,有利的气候条件一出现,疾病就会迅速爆发,而土壤种群是短暂的,其在流行病学上的相关性可能不如先前认为的那么重要。

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