Plissonneau Clémence, Benevenuto Juliana, Mohd-Assaad Norfarhan, Fouché Simone, Hartmann Fanny E, Croll Daniel
Plant Pathology, Institute of Integrative Biology, ETH ZurichZurich, Switzerland; UMR, BIOGER, INRA, AgroParisTech, Université Paris-SaclayThiverval-Grignon, France.
College of Agriculture "Luiz de Queiroz", University of São Paulo São Paulo, Brazil.
Front Plant Sci. 2017 Feb 3;8:119. doi: 10.3389/fpls.2017.00119. eCollection 2017.
Epidemics caused by fungal plant pathogens pose a major threat to agro-ecosystems and impact global food security. High-throughput sequencing enabled major advances in understanding how pathogens cause disease on crops. Hundreds of fungal genomes are now available and analyzing these genomes highlighted the key role of effector genes in disease. Effectors are small secreted proteins that enhance infection by manipulating host metabolism. Fungal genomes carry 100s of putative effector genes, but the lack of homology among effector genes, even for closely related species, challenges evolutionary and functional analyses. Furthermore, effector genes are often found in rapidly evolving chromosome compartments which are difficult to assemble. We review how population and comparative genomics toolsets can be combined to address these challenges. We highlight studies that associated genome-scale polymorphisms with pathogen lifestyles and adaptation to different environments. We show how genome-wide association studies can be used to identify effectors and other pathogenicity-related genes underlying rapid adaptation. We also discuss how the compartmentalization of fungal genomes into core and accessory regions shapes the evolution of effector genes. We argue that an understanding of genome evolution provides important insight into the trajectory of host-pathogen co-evolution.
由真菌植物病原体引起的流行病对农业生态系统构成重大威胁,并影响全球粮食安全。高通量测序在理解病原体如何在作物上引发疾病方面取得了重大进展。目前已有数百个真菌基因组,对这些基因组的分析突出了效应子基因在疾病中的关键作用。效应子是通过操纵宿主代谢来增强感染的小分泌蛋白。真菌基因组携带数百个假定的效应子基因,但即使是亲缘关系密切的物种,效应子基因之间也缺乏同源性,这给进化和功能分析带来了挑战。此外,效应子基因通常位于快速进化的染色体区域,这些区域难以组装。我们综述了如何将群体基因组学和比较基因组学工具集结合起来应对这些挑战。我们重点介绍了将基因组规模的多态性与病原体生活方式及对不同环境的适应性相关联的研究。我们展示了全基因组关联研究如何用于识别快速适应背后的效应子和其他致病性相关基因。我们还讨论了真菌基因组划分为核心区域和辅助区域如何塑造效应子基因的进化。我们认为,对基因组进化的理解为宿主 - 病原体共同进化的轨迹提供了重要的见解。