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
  • [31] AdenPredictor: accurate prediction of the adenylation domain specificity of nonribosomal peptide biosynthetic gene clusters in microbial genomes
    Mongia, Mihir
    Baral, Romel
    Adduri, Abhinav
    Yan, Donghui
    Liu, Yudong
    Bian, Yuying
    Kim, Paul
    Behsaz, Bahar
    Mohimani, Hosein
    BIOINFORMATICS, 2023, 39 : i40 - i46
  • [32] AdenPredictor: accurate prediction of the adenylation domain specificity of nonribosomal peptide biosynthetic gene clusters in microbial genomes
    Mongia, Mihir
    Baral, Romel
    Adduri, Abhinav
    Yan, Donghui
    Liu, Yudong
    Bian, Yuying
    Kim, Paul
    Behsaz, Bahar
    Mohimani, Hosein
    BIOINFORMATICS, 2023, 39 : I40 - I46
  • [33] Mining microbial genomes for new natural products and biosynthetic pathways
    Challis, Gregory L.
    MICROBIOLOGY-SGM, 2008, 154 : 1555 - 1569
  • [34] Mining cyanobacterial genomes for genes encoding complex biosynthetic pathways
    Kalaitzis, John A.
    Lauro, Federico M.
    Neilan, Brett A.
    NATURAL PRODUCT REPORTS, 2009, 26 (11) : 1447 - 1465
  • [35] The biosynthetic gene clusters of aminocoumarin antibiotics
    Li, Shu-Ming
    Heide, Lutz
    PLANTA MEDICA, 2006, 72 (12) : 1093 - 1099
  • [36] Thirty complete Streptomyces genome sequences for mining novel secondary metabolite biosynthetic gene clusters
    Lee, Namil
    Kim, Woori
    Hwang, Soonkyu
    Lee, Yongjae
    Cho, Suhyung
    Palsson, Bernhard
    Cho, Byung-Kwan
    SCIENTIFIC DATA, 2020, 7 (01)
  • [37] Mini review: Genome mining approaches for the identification of secondary metabolite biosynthetic gene clusters in Streptomyces
    Lee, Namil
    Hwang, Soonkyu
    Kim, Jihun
    Cho, Suhyung
    Palsson, Bernhard
    Cho, Byung-Kwan
    COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2020, 18 : 1548 - 1556
  • [38] Genome Mining and Characterization of Biosynthetic Gene Clusters in Two Cave Strains of Paenibacillus sp.
    Lebedeva, Jolanta
    Jukneviciute, Gabriele
    Cepaite, Rimvyde
    Vickackaite, Vida
    Pranckute, Raminta
    Kuisiene, Nomeda
    FRONTIERS IN MICROBIOLOGY, 2021, 11
  • [39] Thirty complete Streptomyces genome sequences for mining novel secondary metabolite biosynthetic gene clusters
    Namil Lee
    Woori Kim
    Soonkyu Hwang
    Yongjae Lee
    Suhyung Cho
    Bernhard Palsson
    Byung-Kwan Cho
    Scientific Data, 7
  • [40] Biosynthetic Gene Clusters in Sequenced Genomes of Four Contrasting Rhizobacteria in Phytopathogen Inhibition and Interaction with Capsicum annuum Roots
    De la Cruz-Rodriguez, Yumiko
    Adrian-Lopez, Jesus
    Martinez-Lopez, Jazmin
    Neri-Marquez, Bibiana Itzel
    Garcia-Pineda, Ernesto
    Alvarado-Gutierrez, Alejandro
    Fraire-Velazquez, Saul
    MICROBIOLOGY SPECTRUM, 2023, 11 (03):