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高效广谱蓝藻噬菌体功能模块挖掘

Efficient Broad-Spectrum Cyanophage Function Module Mining.

作者信息

Guo Yujing, Dong Xiaoxiao, Li Huiying, Lin Wei, Cao Lei, Li Dengfeng, Zhang Yiming, Jin Jin, Tong Yigang, Liu Zihe

机构信息

Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China.

College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.

出版信息

Microorganisms. 2024 Aug 2;12(8):1578. doi: 10.3390/microorganisms12081578.

Abstract

Cyanobacterial harmful algal blooms (CyanoHABs) cause health and environmental effects worldwide. Cyanophage is a virus that exclusively infects cyanobacteria. Using cyanophages to control blooms is the latest biological control method. However, little research on the genomics of cyanophages and the presence of numerous proteins with unidentified functions in cyanophage genomes pose challenges for their practical application and comprehensive investigation. We selected the broad-spectrum and efficient cyanophage YongM for our study. On the one hand, through rational analysis, we analyze essential genes, establish the minimal cyanophage genome and single essential gene modules, and examine the impact of essential modules on growth. Additionally, we conducted ultraviolet mutagenesis on YongM to generate more efficient cyanophages' critical modules through random mutagenesis. Then, we sequenced and analyzed the functionality of the mutational gene modules. These findings highlight several gene modules that contribute to a deeper understanding of the functional components within cyanophage genomes.

摘要

蓝藻有害藻华(CyanoHABs)在全球范围内造成健康和环境影响。蓝藻噬菌体是一种专门感染蓝藻的病毒。利用蓝藻噬菌体控制藻华是最新的生物控制方法。然而,对蓝藻噬菌体基因组学的研究较少,且蓝藻噬菌体基因组中存在大量功能未知的蛋白质,这对其实际应用和全面研究构成了挑战。我们选择了广谱高效的蓝藻噬菌体YongM进行研究。一方面,通过合理分析,我们分析必需基因,建立最小蓝藻噬菌体基因组和单个必需基因模块,并研究必需模块对生长的影响。此外,我们对YongM进行了紫外线诱变,通过随机诱变产生更高效蓝藻噬菌体的关键模块。然后,我们对突变基因模块进行测序并分析其功能。这些发现突出了几个基因模块,有助于更深入地了解蓝藻噬菌体基因组中的功能成分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/491f/11356776/65ec84d2e392/microorganisms-12-01578-g001.jpg

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