Mining biosynthetic gene clusters in Virgibacillus genomes

被引:8
|
作者
Othoum, Ghofran [1 ,2 ]
Bougouffa, Salim [1 ]
Bokhari, Ameerah [3 ]
Lafi, Feras F. [1 ,4 ]
Gojobori, Takashi [1 ,3 ]
Hirt, Heribert [3 ]
Mijakovic, Ivan [5 ,6 ]
Bajic, Vladimir B. [1 ]
Essack, Magbubah [1 ]
机构
[1] KAUST, CBRC, Comp Elect & Math Sci & Engn CEMSE Div, Thuwal 239556900, Saudi Arabia
[2] Washington Univ, Sch Med, McDonnell Genome Inst, St Louis, MO 63110 USA
[3] KAUST, Biol & Environm Sci & Engn BESE Div, Thuwal 239556900, Saudi Arabia
[4] Zayed Univ, Coll Nat & Hlth Sci, Abu Dhabi 144534, U Arab Emirates
[5] Chalmers Univ Technol, Div Syst & Synthet Biol, Dept Biol & Biol Engn, Kemivagen 10, S-41296 Gothenburg, Sweden
[6] Tech Univ Denmark, Novo Nordisk Fdn, Ctr Biosustainabil, DK-2800 Lyngby, Denmark
关键词
Virgibacillus; Antimicrobial; Biosynthetic gene clusters; Genome-mining; Nonribosomal peptides; Polyketides; Bacteriocins; Lanthipeptides; Bioinformatics; PEPTIDE; IDENTIFICATION; VISUALIZATION; ISLANDVIEWER; POLYKETIDE; PRODUCT;
D O I
10.1186/s12864-019-6065-7
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background Biosynthetic gene clusters produce a wide range of metabolites with activities that are of interest to the pharmaceutical industry. Specific interest is shown towards those metabolites that exhibit antimicrobial activities against multidrug-resistant bacteria that have become a global health threat. Genera of the phylum Firmicutes are frequently identified as sources of such metabolites, but the biosynthetic potential of its Virgibacillus genus is not known. Here, we used comparative genomic analysis to determine whether Virgibacillus strains isolated from the Red Sea mangrove mud in Rabigh Harbor Lagoon, Saudi Arabia, may be an attractive source of such novel antimicrobial agents. Results A comparative genomics analysis based on Virgibacillus dokdonensis Bac330, Virgibacillus sp. Bac332 and Virgibacillus halodenitrificans Bac324 (isolated from the Red Sea) and six other previously reported Virgibacillus strains was performed. Orthology analysis was used to determine the core genomes as well as the accessory genome of the nine Virgibacillus strains. The analysis shows that the Red Sea strain Virgibacillus sp. Bac332 has the highest number of unique genes and genomic islands compared to other genomes included in this study. Focusing on biosynthetic gene clusters, we show how marine isolates, including those from the Red Sea, are more enriched with nonribosomal peptides compared to the other Virgibacillus species. We also found that most nonribosomal peptide synthases identified in the Virgibacillus strains are part of genomic regions that are potentially horizontally transferred. Conclusions The Red Sea Virgibacillus strains have a large number of biosynthetic genes in clusters that are not assigned to known products, indicating significant potential for the discovery of novel bioactive compounds. Also, having more modular synthetase units suggests that these strains are good candidates for experimental characterization of previously identified bioactive compounds as well. Future efforts will be directed towards establishing the properties of the potentially novel compounds encoded by the Red Sea specific trans-AT PKS/NRPS cluster and the type III PKS/NRPS cluster.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] antiSMASH 3.0-a comprehensive resource for the genome mining of biosynthetic gene clusters
    Weber, Tilmann
    Blin, Kai
    Duddela, Srikanth
    Krug, Daniel
    Kim, Hyun Uk
    Bruccoleri, Robert
    Lee, Sang Yup
    Fischbach, Michael A.
    Mueller, Rolf
    Wohlleben, Wolfgang
    Breitling, Rainer
    Takano, Eriko
    Medema, Marnix H.
    NUCLEIC ACIDS RESEARCH, 2015, 43 (W1) : W237 - W243
  • [22] Genome mining for natural product biosynthetic gene clusters in the Subsection V cyanobacteria
    Micallef, Melinda L.
    D'Agostino, Paul M.
    Sharma, Deepti
    Viswanathan, Rajesh
    Moffitt, Michelle C.
    BMC GENOMICS, 2015, 16
  • [23] Genome mining for natural product biosynthetic gene clusters in the Subsection V cyanobacteria
    Melinda L. Micallef
    Paul M. D’Agostino
    Deepti Sharma
    Rajesh Viswanathan
    Michelle C. Moffitt
    BMC Genomics, 16
  • [24] Systems and synthetic biology to elucidate secondary metabolite biosynthetic gene clusters encoded in Streptomyces genomes
    Lee, Namil
    Hwang, Soonkyu
    Kim, Woori
    Lee, Yongjae
    Kim, Ji Hun
    Cho, Suhyung
    Kim, Hyun Uk
    Yoon, Yeo Joon
    Oh, Min-Kyu
    Palsson, Bernhard O.
    Cho, Byung-Kwan
    NATURAL PRODUCT REPORTS, 2021, 38 (07) : 1330 - 1361
  • [25] In silico prediction of polyketide biosynthetic gene clusters in the genomes of Hypericum-borne endophytic fungi
    Petijova, Linda
    Henzelyova, Jana
    Kuncova, Julia
    Matouskova, Martina
    Cellarova, Eva
    BMC GENOMICS, 2024, 25 (01):
  • [26] Mining of novel secondary metabolite biosynthetic gene clusters from acid mine drainage
    Ling Wang
    Wan Liu
    Jieliang Liang
    Linna Zhao
    Qiang Li
    Chenfen Zhou
    Hui Cen
    Qingbei Weng
    Guoqing Zhang
    Scientific Data, 9
  • [27] Mining of novel secondary metabolite biosynthetic gene clusters from acid mine drainage
    Wang, Ling
    Liu, Wan
    Liang, Jieliang
    Zhao, Linna
    Li, Qiang
    Zhou, Chenfen
    Cen, Hui
    Weng, Qingbei
    Zhang, Guoqing
    SCIENTIFIC DATA, 2022, 9 (01)
  • [28] Mining Biosynthetic Gene Clusters in Carnobacterium maltaromaticum by Interference Competition Network and Genome Analysis
    Pardini Gontijo, Marco Tulio
    Ramia, Nancy E.
    Dijamentiuk, Alexis
    Elfassy, Annelore
    Taha, Samir
    Mangavel, Cecile
    Revol-Junelles, Anne-Marie
    Borges, Frederic
    MICROORGANISMS, 2022, 10 (09)
  • [29] Discovery of recombinases enables genome mining of cryptic biosynthetic gene clusters in Burkholderiales species
    Wang, Xue
    Zhou, Haibo
    Chen, Hanna
    Jing, Xiaoshu
    Zheng, Wentao
    Li, Ruijuan
    Sun, Tao
    Liu, Jiaqi
    Fu, Jun
    Huo, Liujie
    Li, Yue-zhong
    Shen, Yuemao
    Ding, Xiaoming
    Mueller, Rolf
    Bian, Xiaoying
    Zhang, Youming
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2018, 115 (18) : E4255 - E4263
  • [30] Heterologous expression of natural product biosynthetic gene clusters in Streptomyces coelicolor: from genome mining to manipulation of biosynthetic pathways
    Gomez-Escribano, Juan Pablo
    Bibb, Mervyn J.
    JOURNAL OF INDUSTRIAL MICROBIOLOGY & BIOTECHNOLOGY, 2014, 41 (02) : 425 - 431