Khodadadi Fatemeh, Luciano-Rosario Dianiris, Gottschalk Christopher, Jurick Wayne M, Aćimović Srđan G
Department of Plant Pathology and Microbiology, University of California, Riverside, Riverside, CA 92521, USA.
Food Quality Laboratory, U.S. Department of Agriculture, Agriculture Research Service, Beltsville Agricultural Research Center, Beltsville, MD 20705, USA.
J Fungi (Basel). 2024 Jul 16;10(7):493. doi: 10.3390/jof10070493.
The bitter rot of apple is caused by spp. and is a serious pre-harvest disease that can manifest in postharvest losses on harvested fruit. In this study, we obtained genome sequences from four different species, . , , , and , that infect apple and cause diseases on other fruits, vegetables, and flowers. Our genomic data were obtained from isolates/species that have not yet been sequenced and represent geographic-specific regions. Genome sequencing allowed for the construction of phylogenetic trees, which corroborated the overall concordance observed in prior MLST studies. Bioinformatic pipelines were used to discover CAZyme, effector, and secondary metabolic (SM) gene clusters in all nine isolates. We found redundancy and a high level of similarity across species regarding CAZyme classes and predicted cytoplastic and apoplastic effectors. SM gene clusters displayed the most diversity in type and the most common cluster was one that encodes genes involved in the production of alternapyrone. Our study provides a solid platform to identify targets for functional studies that underpin pathogenicity, virulence, and/or quiescence that can be targeted for the development of new control strategies. With these new genomics resources, exploration via omics-based technologies using these isolates will help ascertain the biological underpinnings of their widespread success and observed geographic dominance in specific areas throughout the country.
苹果苦腐病由多种病菌引起,是一种严重的采前病害,可导致采后果实损失。在本研究中,我们从四种不同的病菌中获得了基因组序列,这些病菌感染苹果,并在其他水果、蔬菜和花卉上引发病害。我们的基因组数据来自尚未测序的分离株/物种,代表了特定地理区域。基因组测序有助于构建系统发育树,这证实了先前多位点序列分型(MLST)研究中观察到的总体一致性。利用生物信息学流程在所有九个病菌分离株中发现了碳水化合物活性酶(CAZyme)、效应蛋白和次生代谢(SM)基因簇。我们发现,在CAZyme类别以及预测的细胞质和质外体效应蛋白方面,不同物种之间存在冗余和高度相似性。SM基因簇在类型上表现出最多样化,最常见的基因簇是一个编码与交替吡喃酮产生相关基因的基因簇。我们的研究提供了一个坚实的平台,用于确定功能研究的靶点,这些靶点支撑着致病性、毒力和/或静止状态,可为新控制策略的开发提供目标。有了这些新的基因组学资源,通过基于组学的技术对这些分离株进行探索,将有助于确定它们在全国特定地区广泛成功和观察到的地理优势的生物学基础。