Genome Mining of Pseudomonas Species: Diversity and Evolution of Metabolic and Biosynthetic Potential |
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| Authors: | Khorshed Alam Md Mahmudul Islam Caiyun Li Sharmin Sultana Lin Zhong Qiyao Shen Guangle Yu Jinfang Hao Youming Zhang Ruijuan Li Aiying Li |
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| Institution: | 1.Helmholtz International Lab for Anti-Infectives, Shandong University-Helmholtz Institute of Biotechnology, State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China; (K.A.); (C.L.); (L.Z.); (Q.S.); (G.Y.); (J.H.); (Y.Z.);2.Department of Microbiology, Rajshahi Institute of Biosciences (RIB), University of Rajshahi, Rajshahi 6212, Bangladesh;3.Department of Microbiology, University of Chittagong, Chittagong 4331, Bangladesh; |
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| Abstract: | Microbial genome sequencing has uncovered a myriad of natural products (NPs) that have yet to be explored. Bacteria in the genus Pseudomonas serve as pathogens, plant growth promoters, and therapeutically, industrially, and environmentally important microorganisms. Though most species of Pseudomonas have a large number of NP biosynthetic gene clusters (BGCs) in their genomes, it is difficult to link many of these BGCs with products under current laboratory conditions. In order to gain new insights into the diversity, distribution, and evolution of these BGCs in Pseudomonas for the discovery of unexplored NPs, we applied several bioinformatic programming approaches to characterize BGCs from Pseudomonas reference genome sequences available in public databases along with phylogenetic and genomic comparison. Our research revealed that most BGCs in the genomes of Pseudomonas species have a high diversity for NPs at the species and subspecies levels and built the correlation of species with BGC taxonomic ranges. These data will pave the way for the algorithmic detection of species- and subspecies-specific pathways for NP development. |
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| Keywords: | Pseudomonas genome mining natural products biosynthetic pathway gene cluster genome comparison |
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