Department of Plant Pathology and Emerging Pathogens Institute, University of Florida, Gainesville, Florida 32611; email:
Annu Rev Phytopathol. 2015;53:121-35. doi: 10.1146/annurev-phyto-080614-115936. Epub 2015 May 4.
Trade in plant and plant products has profoundly affected the global distribution and diversity of plant pathogens. Identification of migration pathways can be used to monitor or manage pathogen movement for proactive disease management or quarantine measures. Genomics-based genetic marker discovery is allowing unprecedented collection of population genetic data for plant pathogens. These data can be used for detailed analysis of the ancestry of population samples and therefore for analysis of migration. Reconstruction of migration histories has confirmed previous hypotheses based on observational data and led to unexpected new findings on the origins of pathogens and source populations for past and recent migration. The choice of software for analysis depends on the type of migration being studied and the reproductive mode of the pathogen. Biased sampling and complex population structures are potential challenges to accurate inference of migration pathways.
植物和植物产品的贸易极大地影响了植物病原体的全球分布和多样性。识别迁移途径可用于监测或管理病原体的移动，以进行主动疾病管理或检疫措施。基于基因组的遗传标记发现正在允许对植物病原体的种群遗传数据进行前所未有的收集。这些数据可用于详细分析种群样本的祖先，从而分析迁移。迁移历史的重建证实了基于观测数据的先前假设，并导致对病原体的起源和过去和最近迁移的源种群的意外新发现。分析软件的选择取决于所研究的迁移类型和病原体的繁殖模式。有偏采样和复杂的种群结构是对迁移途径进行准确推断的潜在挑战。
