Profiling of Pharmaceutical Sludge Microbiome, Resistome and Secondary Metabolites Using Metagenomics

IF 2.1 4区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Indian Journal of Microbiology Pub Date : 2024-08-16 DOI:10.1007/s12088-024-01349-9
Shailendra Yadav, Atya Kapley
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Abstract

Antibiotic manufacturing sites act as the hotspot for the dissemination of antibiotic resistance. The present study explores the resistome and secondary metabolites profile associated with the sludge of two pharmaceutical industries located in Delhi and Mysore, India. It confirmed that the pharma sludge contains complex microbiome and resistome. The presence of antibiotic-resistant genes (ARGs), class I integrons, and secondary metabolite genes (NRPs and PKs) was confirmed using PCR. Metagenomic tools like ResFinder 3.2, DeepARG, BusyBee, MG-RAST, and CoMET universe were used to analyze pharmaceutical sludge metagenome. Proteobacteria was found abundant in both metagenomes, followed by firmicutes & bacteriodetes. KEGG analysis predicted the expression of vancomycin, Pandrug, antifolate resistance pathway in both metagenomes. Resfinder predicted the presence of aminoglycoside, macrolide, and sulphonamide resistance genes in both metagenomes. DeepARG analysis classified ARGs in 28 (Arbro) & 27 (Mysore) ARG category and 431 & 368 ARG class. Further, CoMET universe indicated the presence of biosynthetic gene clusters like type II polyketide biosynthesis, Nonribosomal polypeptide biosynthesis, vancomycin & tetracycline, and macrolide biosynthesis. The present study provides primary insight about the diversity of secondary metabolites clusters present in pharmaceutical sludge. Microbes residing in such environment grows under higher selection pressure and produce various secondary metabolites. These metabolites could be exploited for the discovery of novel metabolites with antimicrobial potential and combating AMR. In future, the author aims to clone metagenome in expression vector (BAC/YAC vectors) for the discovery of novel secondary metabolites.

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利用元基因组学分析制药污泥微生物组、抗性组和次级代谢物
抗生素生产基地是抗生素耐药性传播的热点。本研究探讨了与印度德里和迈索尔两地制药业污泥相关的抗药性组和次级代谢物概况。研究证实,制药污泥含有复杂的微生物组和抗药性组。抗生素耐药基因(ARGs)、一类整合子和次级代谢物基因(NRPs 和 PKs)的存在已通过 PCR 得到证实。元基因组工具如 ResFinder 3.2、DeepARG、BusyBee、MG-RAST 和 CoMET universe 被用来分析制药污泥元基因组。在这两个元基因组中都发现了大量的蛋白质细菌,其次是坚固菌和amp;细菌。KEGG 分析预测了两个元基因组中万古霉素、Pandrug 和抗叶酸耐药途径的表达。Resfinder 预测两个元基因组中都存在氨基糖苷类、大环内酯类和磺胺类抗性基因。DeepARG分析将ARG分为28个(阿布罗)ARG类别和27个(迈索尔)ARG类别以及431个ARG类别和368个ARG类别。此外,CoMET 宇宙表明存在生物合成基因簇,如 II 型多酮生物合成、非核糖体多肽生物合成、万古霉素和四环素以及大环内酯生物合成。本研究提供了有关制药污泥中二级代谢产物群多样性的初步见解。生活在这种环境中的微生物会在更大的选择压力下生长,并产生各种次级代谢物。这些代谢物可用于发现具有抗菌潜力的新型代谢物和对抗 AMR。今后,作者的目标是用表达载体(BAC/YAC 载体)克隆元基因组,以发现新型次生代谢物。
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来源期刊
Indian Journal of Microbiology
Indian Journal of Microbiology BIOTECHNOLOGY & APPLIED MICROBIOLOGY-MICROBIOLOGY
CiteScore
6.00
自引率
10.00%
发文量
51
审稿时长
1 months
期刊介绍: Indian Journal of Microbiology is the official organ of the Association of Microbiologists of India (AMI). It publishes full-length papers, short communication reviews and mini reviews on all aspects of microbiological research, published quarterly (March, June, September and December). Areas of special interest include agricultural, food, environmental, industrial, medical, pharmaceutical, veterinary and molecular microbiology.
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