Sinha Shagun, Navathe Sudhir, Vishwakarma Shubham, Prajapati Priyanka, Chand Ramesh, Kharwar Ravindra Nath
Center of Advanced Studies in Botany, Institute of Science, Banaras Hindu University, Varanasi, Uttar Pradesh, 221005, India.
Agharkar Research Institute, G. G. Agarkar Road, Pune, Maharashtra, 411004, India.
World J Microbiol Biotechnol. 2025 May 15;41(5):174. doi: 10.1007/s11274-025-04398-4.
Pseudocercospora abelmoschi causes black mould on the leaves of okra. The disease is prevalent post-rainy season when high moisture and warm temperatures prevail. Severe defoliation is observed during favourable environments, leading to a significant loss in productivity. Based on the importance of the pathogen agriculturally, the P. abelmoschi isolate Cer 86 - 18 (MCC:9491) was selected for genome sequencing. The genome assembly of P. abelmoschi resulted in a genome of 31.90 Mb with an overall GC content of 54.26%. Quantitative genome assessment using BUSCO (Benchmarking Universal Single-Copy Orthologs) identified 1,664 (97.53%) complete BUSCOs, reflecting a high representation of conserved genes with minimal duplication and strong orthologous uniqueness. Gene prediction analysis identified 11,325 protein-coding genes, of which 3,857 were annotated using the KEGG database. As per analyses, 410 genes were predicted to encode carbohydrate-active enzymes, whereas 369 genes were predicted to encode peptidases. Eighteen gene clusters involved in secondary metabolite biosynthesis were also identified. A total of 143 proteins were predicted to be effectors using the in-silico pipeline. This is the first report on the genome organisation of P. abelmoschi. This study was designed to address this gap by enhancing our understanding of the genome organisation of P. abelmoschi and gene annotation, thereby paving the way for functional genomics studies, such as identifying virulence genes to aid in resistance breeding. Also, this genome could be another addition to the available genomic resources of the genus Pseudocercospora and can provide valuable insights into host-pathogen interactions and evolutionary relationships.
黄秋葵尾孢菌可导致秋葵叶片产生黑霉病。该病害在雨季过后高发,此时湿度高且温度温暖。在适宜的环境条件下会观察到严重落叶,导致生产力大幅下降。鉴于该病原菌在农业上的重要性,选择了黄秋葵尾孢菌菌株Cer 86 - 18(MCC:9491)进行基因组测序。黄秋葵尾孢菌的基因组组装产生了一个31.90 Mb的基因组,总体GC含量为54.26%。使用BUSCO(基准通用单拷贝直系同源物)进行的定量基因组评估鉴定出1664个(97.53%)完整的BUSCO,这反映了保守基因的高代表性,重复最少且直系同源性独特性强。基因预测分析鉴定出11325个蛋白质编码基因,其中3857个使用KEGG数据库进行了注释。根据分析,预测有410个基因编码碳水化合物活性酶,而预测有369个基因编码肽酶。还鉴定出了18个参与次生代谢物生物合成的基因簇。使用计算机分析流程预测共有143种蛋白质为效应子。这是关于黄秋葵尾孢菌基因组组织的首次报道。本研究旨在通过增强我们对黄秋葵尾孢菌基因组组织和基因注释的理解来填补这一空白,从而为功能基因组学研究铺平道路,例如鉴定毒力基因以辅助抗性育种。此外,该基因组可以作为尾孢菌属现有基因组资源的又一补充,并可为宿主 - 病原体相互作用和进化关系提供有价值的见解。