产薯蓣皂苷元芽孢杆菌菌株IRMC27M2作为抗多重耐药念珠菌的基因组武器。

IF 4.1 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Computational and structural biotechnology journal Pub Date : 2025-07-30 eCollection Date: 2025-01-01 DOI:10.1016/j.csbj.2025.07.048
Rahaf Alquwaie, Noor B Almandil, Reem AlJindan, Nehal Mahmoud, Sarah Almofty, Dana Almohazey, Hoor Hashim Alqudihi, Sarah Hunachagi, Tharmathass Stalin Dhas, P Sowmiya, Sayed AbdulAzeez, J Francis Borgio
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引用次数: 0

摘要

耳念珠菌(Candida auris)是一种新兴的多药耐药(MDR)真菌病原体,被世界卫生组织列为重点,因其高死亡率而对全球健康构成重大威胁。发现新的抗真菌药物对有效治疗至关重要。本研究鉴定并描述了一株具有抗c抗体的原生芽孢杆菌菌株IRMC27M2。耳的活动。采用综合方法,包括16S rRNA基因测序鉴定细菌分离物,然后进行全基因组测序,抗真菌分析,细胞毒性测试,气相色谱-质谱(GC-MS)分析和比较基因组学。利用纳米孔长读测序技术对IRMC27M2基因组进行了测序,得到的基因组(3,87,328 bp)在系统发育上与解淀粉芽孢杆菌和velezensis芽孢杆菌相关。在IRMC27M2基因组中发现了生物合成相关基因簇(BGCs)。采用培养基优化方案(FRC6和REM3)来提高次生代谢物的产生,并通过紫外分光光度法和GC-MS分析所得乙酸乙酯组分。菌株IRMC27M2代谢物的抗真菌分析可显著降低白色念珠菌和耳念珠菌的细胞大小并诱导粉碎表型。观察到细胞膜塌陷和细胞裂解。全基因组测序显示10个BGCs可能参与抗真菌化合物的生物合成。使用FRC6和REM3方案产生的代谢物没有细胞毒性作用。气相色谱-质谱分析显示乙酸乙酯部分有一系列代谢产物,其中薯蓣皂苷元含量最多。手工和反向验证证实了甲基赤藓糖醇磷酸生物合成途径相关基因的存在,并证实了IRMC27M2生产薯蓣皂素的能力。总之,这些发现突出了芽孢杆菌菌株IRMC27M2作为生产薯蓣皂苷元的生物工厂的巨大潜力。这意味着在开发针对世卫组织重点关注的耐多药白色念珠菌和耳念珠菌的治疗方法方面,未来的研究前景广阔。如果芽孢杆菌属菌株IRMC27M2是一个新的亚种,还需要进一步的研究来证实。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diosgenin producing Bacillus sp. strain IRMC27M2 as a genome-mined weapon against multidrug-resistant Candidozyma (Candida) auris.

Candidozyma auris (Candida auris) is an emerging multidrug-resistant (MDR) fungal pathogen prioritised by the World Health Organisation that poses a significant global health threat due to high mortality. Discovering novel antifungal drugs is crucial for effective treatment. This study identifies and describes a native bacterial isolate, Bacillus sp. strain IRMC27M2, with anti-C. auris activity. An integrated approach was used, including 16S rRNA gene sequencing to identify the bacterial isolate, followed by whole-genome sequencing, antifungal analysis, cytotoxicity testing, gas chromatography-mass spectrometry (GC-MS) analysis and comparative genomics. The IRMC27M2 genome was sequenced using nanopore long-read sequencing and the resulting genome (3,87,328 bp) is phylogenetically related to Bacillus amyloliquefaciens and Bacillus velezensis. Biosynthesis-related gene clusters (BGCs) were identified in the IRMC27M2 genome. Media optimisation protocols (FRC6 and REM3) were performed to enhance secondary metabolite production and the resulting ethyl acetate fractions were analysed by UV spectrophotometry and GC-MS. Antifungal analysis with metabolites from Bacillus sp. strain IRMC27M2 significantly reduced cell size and induced crushed phenotypes in C. albicans and C. auris. Collapse of cell membranes and lysis of cells were observed. Whole-genome sequencing revealed 10 BGCs potentially involved in antifungal compound biosynthesis. The metabolites produced using FRC6 and REM3 protocols showed no cytotoxic effects. GC-MS analysis of the ethyl acetate fraction revealed a range of metabolites, with diosgenin being the most abundant. Manual and reverse verification confirmed the presence of genes linked to the methylerythritol phosphate biosynthesis pathway and confirmed the capability of IRMC27M2 for diosgenin production. In conclusion, the findings highlight the significant potential of Bacillus sp. strain IRMC27M2 as a biofactory for the production of diosgenin. This signifies promising future research for developing treatments against multidrug-resistant C. albicans and C. auris which are prioritised by the WHO. Further research is necessary to confirm if Bacillus sp. strain IRMC27M2 represents a novel subspecies.

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来源期刊
Computational and structural biotechnology journal
Computational and structural biotechnology journal Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
9.30
自引率
3.30%
发文量
540
审稿时长
6 weeks
期刊介绍: Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to: Structure and function of proteins, nucleic acids and other macromolecules Structure and function of multi-component complexes Protein folding, processing and degradation Enzymology Computational and structural studies of plant systems Microbial Informatics Genomics Proteomics Metabolomics Algorithms and Hypothesis in Bioinformatics Mathematical and Theoretical Biology Computational Chemistry and Drug Discovery Microscopy and Molecular Imaging Nanotechnology Systems and Synthetic Biology
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