Adedibu Peter Adeolu, Son Oksana, Tekutyeva Liudmila, Balabanova Larissa
Institute of Biotechnology, Bioengineering and Food Systems, Advanced Engineering School, Far Eastern Federal University, 10 Ajax Bay, Russky Island, 690922 Vladivostok, Russia.
ARNIKA, Territory of PDA Nadezhdinskaya, Centralnaya St. 42, Volno-Nadezhdinskoye, Primorsky Krai, 692481 Vladivostok, Russia.
Life (Basel). 2024 Dec 20;14(12):1690. doi: 10.3390/life14121690.
(rice) is a major staple food targeted for increased production to achieve food security. However, increased production is threatened by several biotic and abiotic factors, of which bacterial blight disease caused by pathovar is severe. Developing effective control strategies requires an up-to-date understanding of its pathogenomics. This study analyzes the genomes of 30 strains collected from rice-producing regions across five continents to identify genetic elements critical for its pathogenicity and adaptability and for an intraspecific diversity assessment using advanced genomics and bioinformatics tools. Resistome analysis revealed 28 distinct types of antibiotic resistance genes (ARGs), both innate and acquired, indicating a growing threat from multidrug-resistant strains. Sixteen virulent genes, including type III and VI secretion systems, motility genes, and effector proteins, were identified. A unique '' multidrug efflux system was detected in the Tanzanian strains, conferring resistance to multiple antibiotic classes. To curb further ARG emergence, there is a need to regulate the use of antibiotics for control and adopt resistant rice varieties. Transposable elements were also discovered to contribute to pathogenicity, facilitating the horizontal transfer of virulence genes. Pangenome analysis revealed intraspecific variation among the population, with 112 unique CDS having diverse functional roles. Strains registered in the Philippines had the most unique genes. Phylogenetic analysis confirmed the divergent evolution of . This study's results will aid in identifying more effective management strategies and biocontrol alternatives for sustainable rice production.
水稻是为实现粮食安全而旨在提高产量的主要主食。然而,产量的增加受到多种生物和非生物因素的威胁,其中由致病型引起的白叶枯病较为严重。制定有效的控制策略需要对其病原组学有最新的了解。本研究分析了从五大洲水稻种植区收集的30个菌株的基因组,以确定对其致病性和适应性至关重要的遗传元件,并使用先进的基因组学和生物信息学工具进行种内多样性评估。抗性组分析揭示了28种不同类型的抗生素抗性基因(ARGs),包括固有和获得性的,表明多重耐药菌株构成的威胁日益增加。鉴定出16个毒力基因,包括III型和VI型分泌系统、运动基因和效应蛋白。在坦桑尼亚菌株中检测到一种独特的“多重药物外排系统”,赋予对多种抗生素类别的抗性。为了遏制ARGs的进一步出现,需要规范用于控制的抗生素使用并采用抗性水稻品种。还发现转座元件有助于致病性,促进毒力基因的水平转移。泛基因组分析揭示了群体中的种内变异,有112个独特的编码序列具有不同的功能作用。在菲律宾登记的菌株具有最多的独特基因。系统发育分析证实了……的分歧进化。本研究的结果将有助于确定更有效的管理策略和生物防治替代方案,以实现水稻的可持续生产。