Skip to main content

Advertisement

Log in

Application of Bioassay-Guided Fractionation Coupled with a Molecular Approach for the Dereplication of Antimicrobial Metabolites

  • Original
  • Published:
Chromatographia Aims and scope Submit manuscript

Abstract

A systematically delineated dereplication approach was described based on genome mining and bioassay-guided fractionation using endophytic fungus Xylaria psidii FPL-52(S) isolated from leaves of Ficus pumila Linn., (Moraceae). A polyketide synthase gene-based molecular screening strategy by a degenerate oligonucleotide primer polymerase chain reaction technique coupled with a bioinformatic phylogenomic approach revealed the presence of an iterative polyketide synthase gene within the genome of Xylaria psidii FPL-52(S). Chemical dereplication of ethyl acetate extract derived from a submerged fermentation culture broth of Xylaria psidii FPL-52(S) by bioassay-guided chromatographic and hyphenated analytical spectroscopic techniques led to the identification of polyketide mycoalexin 3-O-methylmellein. Antimicrobial profiling and minimal inhibitory concentration values for 3-O-methylmellein were determined by disc diffusion and microbroth dilution techniques. Gram-positive bacteria, dermatophytic and phytopathogenic fungi were susceptible in terms of inhibition zone and minimum inhibitory concentration values when compared to co-assayed standards. Herein, we highlight and demonstrate an improved approach which facilitates efficient dereplication and effect-guided fractionation of antimicrobial metabolite(s). The present work flow serves as a promising dereplication tool to survey the biosynthetic potential of endophytic fungal diversity, thereby identifying the most promising strains and prioritizing them for novel polyketide-derived antimicrobial metabolite discovery.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  1. Sanchez S, Guzmán-Trampe S, Avalos M, Ruiz B, Rodriguez-Sanoja R, Jiménez-Estrada M (2012) In: Civjan J (ed) Microbial natural products, in natural products in chemical biology. Wiley, Hoboken

    Google Scholar 

  2. Medema MH, Fischbach MA (2015) Computational approaches to natural product discovery. Nat Chem Biol 11(9):639–648

    Article  CAS  Google Scholar 

  3. Farha MA, Brown ED (2016) Strategies for target identification of antimicrobial natural products. Nat Prod Rep 33(5):668–680

    Article  CAS  Google Scholar 

  4. Rodrigues T, Reker D, Schneider P, Schneider G (2016) Counting on natural products for drug design. Nat Chem 8(6):531–541

    Article  CAS  Google Scholar 

  5. Ashforth EJ, Fu C, Liu X, Dai H, Song F, Guo H, Zhang L (2010) Bioprospecting for antituberculosis leads from microbial metabolites. Nat Prod Rep 27(11):1709–1719

    Article  CAS  Google Scholar 

  6. Molinari G (2013) Impact of microbial natural products on antibacterial drug discovery. In: Gualerzi CO, Brandi L, Fabbretti A, Pon CL (eds) Antibiotics: targets, mechanisms and resistance. Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim

  7. Lewis K (2013) Platforms for antibiotic discovery. Nat Rev Drug Discov 12(5):371–387

    Article  CAS  Google Scholar 

  8. Brown DG, Lister T, May-Dracka TL (2014) New natural products as new leads for antibacterial drug discovery. Bioorg Med Chem Lett 24(2):413–418

    Article  CAS  Google Scholar 

  9. Genilloud O (2014) The re-emerging role of microbial natural products in antibiotic discovery. Antonie Van Leeuwenhoek 106(1):173–188

    Article  CAS  Google Scholar 

  10. Nguta JM, Appiah-Opong R, Nyarko AK, Yeboah-Manu D, Addo PG (2015) Current perspectives in drug discovery against tuberculosis from natural products. Int J Mycobacteriol 4(3):165–183

    Article  Google Scholar 

  11. Aly AH, Debbab A, Kjer J, Proksch P (2010) Fungal endophytes from higher plants: a prolific source of phytochemicals and other bioactive natural products. Fungal Divers 41:1–16

    Article  Google Scholar 

  12. Alvin A, Miller KI, Neilan BA (2014) Exploring the potential of endophytes from medicinal plants as sources of antimycobacterial compounds. Microbiol Res 169(7):483–495

    Article  CAS  Google Scholar 

  13. Nisa H, Kamili AN, Nawchoo IA, Shafi S, Shameem N, Bandh SA (2015) Fungal endophytes as prolific source of phytochemicals and other bioactive natural products: a review. Microb Pathog 82:50–59

    Article  CAS  Google Scholar 

  14. Newmann DJ, Cragg GM (2015) Endophytic and epiphytic microbes as “sources” of bioactive agents. Front Chem 3:1–13

    Google Scholar 

  15. Jia M, Chen L, Xin HL, Zheng CJ, Rahman K, Han T, Qin LP (2016) A friendly relationship between endophytic fungi and medicinal plants: a systematic review. Front Microbiol 7:906

    Article  Google Scholar 

  16. Zhou M, Luo H, Li Z, Wu F, Huang C, Ding Z, Li R (2012) Recent advances in screening of natural products for antimicrobial agents. Comb Chem High Throughput Screen 15(4):306–315

    Article  CAS  Google Scholar 

  17. Nielsen KF, Mansson M, Rank C, Frisvad JC, Larsen TO (2011) Dereplication of microbial natural products by LC-DAD-TOFMS. J Nat Prod 74(11):2338–2348

    Article  CAS  Google Scholar 

  18. Tawfike AF, Viegelmann C, Edrada-Ebel R (2013) Metabolomics and dereplication strategies in natural products. Methods Mol Biol 1055:227–244

    Article  CAS  Google Scholar 

  19. Johnson SR, Lange BM (2015) Open-access metabolomics databases for natural product research: present capabilities and future potential. Front Bioeng Biotechnol 3:22

    Article  Google Scholar 

  20. Wolfender JL, Marti G, Thomas A, Bertrand S (2015) Current approaches and challenges for the metabolite profiling of complex natural extracts. ‎J Chromatogr A 1382:136–164

    Article  CAS  Google Scholar 

  21. Allard PM, Peresse T, Bisson J, Gindro K, Marcourt L, Pham VC, Wolfender JL (2016) integration of molecular networking and in silico MS/MS fragmentation for natural products dereplication. Anal Chem 88(6):3317–3323

    Article  CAS  Google Scholar 

  22. Perez-Victoria I, Martín J, Reyes F (2016) Combined LC/UV/MS and NMR strategies for the dereplication of marine natural products. Planta Med. doi:10.1055/s-0042-101763

    Google Scholar 

  23. Ito T, Masubuchi M (2014) Dereplication of microbial extracts and related analytical technologies. J Antibiot 67(5):353–360

    Article  CAS  Google Scholar 

  24. Lucia Carrano, Marinelli Flavia (2015) The relevance of chemical dereplication in microbial natural product screening. J Appl Bioanal 1(2):55–67

    Google Scholar 

  25. Kind T, Fiehn O (2010) Advances in structure elucidation of small molecules using mass spectrometry. Bioanal Rev 2(1–4):23–60

    Article  Google Scholar 

  26. Patel KN, Patel JK, Patel MP, Rajput GC, Patel HA (2010) Introduction to hyphenated techniques and their applications in pharmacy. Pharm Methods 1(1):2–13

    Article  Google Scholar 

  27. Kurthoke I (2010) Biodiscovery from microbial resources: actinomycetes leading the way. Microbiol Aust 31(2):53–57

    Google Scholar 

  28. Ito T, Odake T, Katoh H, Yamaguchi Y, Aoki M (2011) High-throughput profiling of microbial extracts. J Nat Prod 74:983–988

    Article  CAS  Google Scholar 

  29. Rocha-Martin J, Harrington C, Dobson AD, O’Gara F (2014) Emerging strategies and integrated systems microbiology technologies for biodiscovery of marine bioactive compounds. Mar Drugs 12(6):3516–3559

    Article  CAS  Google Scholar 

  30. Gaudencio SP, Pereira F (2015) Dereplication: racing to speed up the natural products discovery process. Nat Prod Rep 32(6):779–810

    Article  CAS  Google Scholar 

  31. Wolfender JL, Marti G, Ferreira Queiroz E (2010) Advances in techniques for profiling crude extracts and for the rapid identification of natural products: dereplication, quality control and metabolomics. Curr Org Chem 14(16):1808–1832

    Article  CAS  Google Scholar 

  32. Sarker SD, Nahar L (2012) Hyphenated techniques and their applications in natural products analysis. Methods Mol Bio 864:301–340

    Article  CAS  Google Scholar 

  33. Weller MG (2012) A unifying review of bioassay-guided fractionation, effect-directed analysis and related techniques. Sensors 12(7):9181–9209

    Article  CAS  Google Scholar 

  34. Siddiqui MR, Alothman ZA, Rahman N (2013) Analytical techniques in pharmaceutical analysis: a review. Arabian J Chem

  35. Klitgaard A, Iversen Andersen MR, Larsen TO, Frisvad JC, Nielsen KF (2014) Aggressive dereplication using UHPLC–DAD–QTOF: screening extracts for up to 3000 fungal secondary metabolites. Anal Bioanal Chem 406(7):1933–1943

    Article  CAS  Google Scholar 

  36. Mammo F, Endale M (2015) Recent trends in rapid dereplication of natural product extracts: an update. J coast life med 3(3):178–182

    CAS  Google Scholar 

  37. Harris GH (2004) Handbook of industrial mycology. In: Zhiquiang An (Ed). CRC press, India, pp 1887–1268

  38. Moricz AM, Fornal E, Jesionek W, Majer-Dziedzic B, Choma IM (2015) Effect-directed isolation and identification of antibacterial Chelidonium majus L. alkaloids. Chromatographia 78(9–10):707–716

    Article  CAS  Google Scholar 

  39. Komaki H, Ando K, Takagi M, Shin-Ya K (2010) Dereplication of Streptomyces strains by automated southern hybridization with a polyketide synthase gene probe. Actinomycetologica 24(2):66–69

    Article  CAS  Google Scholar 

  40. Chiang YM, Ahuja M, Oakley CE, Entwistle R, Asokan A, Zutz C, Oakley BR (2016) Development of genetic dereplication strains in Aspergillus nidulans results in the discovery of aspercryptin. Anqew Chem Int Ed Engl 128(5):1694–1697

    Article  Google Scholar 

  41. Scheffler RJ, Colmer S, Tynan H, Demain AL, Gullo VP (2013) Antimicrobials, drug discovery, and genome mining. Appl Microbiol Biotechnol 97(3):969–978

    Article  CAS  Google Scholar 

  42. Monciardini P, Iorio M, Maffioli S, Sosio M, Donadio S (2014) Discovering new bioactive molecules from microbial sources. Microb Biotechnol 7(3):209–220

    Article  CAS  Google Scholar 

  43. Mohamed A, Nguyen CH, Mamitsuka H (2015) Current status and prospects of computational resources for natural product dereplication: a review. Brief Bioinform 17(2):309–321

    Article  Google Scholar 

  44. Van der Lee TA, Medema MH (2016) Computational strategies for genome-based natural product discovery and engineering in fungi. Fungal Genet Biol 89:29–36

    Article  CAS  Google Scholar 

  45. Hou Y, Braun DR, Michel CR, Klassen JL, Adnani N, Wyche TP, Bugni TS (2012) Microbial strain prioritization using metabolomics tools for the discovery of natural products. Anal Chem 84(10):4277–4283

    Article  CAS  Google Scholar 

  46. Johnston CW, Skinnider MA, Wyatt MA, Li X, Ranieri MR, Yang L, Magarvey NA (2015) An automated Genomes-to-Natural Products platform (GNP) for the discovery of modular natural products. Nat Commun 28(6):8421

    Article  CAS  Google Scholar 

  47. Skinnider MA, Dejong CA, Rees PN, Johnston CW, Li H, Webster AL, Magarvey NA (2015) Genomes to natural products PRediction Informatics for Secondary Metabolomes (PRISM). Nucleic Acids Res 43(20):9645–9662

    CAS  Google Scholar 

  48. Mohimani H, Pevzner PA (2016) Dereplication, sequencing and identification of peptidic natural products: from genome mining to peptidogenomics to spectral networks. Nat Prod Rep 33:73–86

    Article  CAS  Google Scholar 

  49. Brkljaca R, Urban S (2011) Recent advancements in HPLC-NMR and applications for natural product profiling and identification. J Liq Chromatogr R T 34(13):1063–1076

    Article  CAS  Google Scholar 

  50. Bucar F, Wube A, Schmid M (2013) Natural product isolation—how to get from biological material to pure compounds. Nat Prod Rep 30(4):525–545

    Article  CAS  Google Scholar 

  51. Hoffmann T, Krug D, Huttel S, Muller R (2014) Improving natural products identification through targeted LC–MS/MS in an untargeted secondary metabolomics workflow. Anal Chem 86(21):10780–10788

    Article  CAS  Google Scholar 

  52. Wu C, Choi YH, van Wezel GP (2016) Metabolic profiling as a tool for prioritizing antimicrobial compounds. J Ind Microbiol Biotechnol 43(2–3):299–312

    Article  CAS  Google Scholar 

  53. Phillipson DW, Milgram KE, Yanovsky AI, Rusnak LS, Haggerty DA, Farrell WP, Proefke ML (2002) High-throughput bioassay-guided fractionation: a technique for rapidly assigning observed activity to individual components of combinatorial libraries, screened in HTS bioassays. J Comb Chem 4(6):591–599

    Article  CAS  Google Scholar 

  54. Ishichi K, Nakazawa T, Ookuma T, Sugimoto S, Sato M, Tsunematsu Y, Ishikawa N, Noguchi H, Hotta H, Moriya K, Watanabe K (2012) Establishing a new methodology for genome mining and biosynthesis of polyketides and peptides through yeast molecular genetics. ChemBioChem 13(06):846–854

    Article  CAS  Google Scholar 

  55. Fedorenko V, Genilloud O, Horbal L, Marcone GL, Marinelli F, Paitan Y, Ron EZ (2015) Antibacterial discovery and development: from gene to product and back. Bio Med Res Int 591349:1–16

    Google Scholar 

  56. Suryanarayanan TS (1992) Light-incubation: a neglected procedure in mycology. Mycol 6:144

    Google Scholar 

  57. Schulz B, Wanke U, Drager S, Aust HJ (1993) Endophytes from herbaceous plants and shrubs: effectiveness of surface sterilization methods. Mycol Res 97:1447–1450

    Article  Google Scholar 

  58. Kim SJ, Seo SG, Jun BK, Kim JW, Kim SH (2010) Simple and reliable DNA extraction method for the dark pigmented fungus, Cercospora sojina. Plant Pathol J 26(3):289–292

    Article  CAS  Google Scholar 

  59. White TJ, Bruns T, Lee S, Taylor J (1990) In: Innis MA, Gelfand DH, Sninsky JJ, White TJ (eds) Amplification and direct sequencing of fungal ribosomal RNA genes for phylogenetics. PCR Protocols. Academic Press, San Diego, pp 315–322

    Google Scholar 

  60. Yuan Z, Chen Y, Yang Y (2009) Diverse non-mycorrhizal fungal endophytes inhabiting an epiphytic, medicinal orchid (Dendrobium nobile): estimation and characterization. World J Microb Biot 25:295–303

    Article  Google Scholar 

  61. Bingle LE, Simpson TJ, Lazarus CM (1999) Ketosynthase domain probes identify two subclasses of fungal polyketide synthase genes. Fungal Genet Biol 26:209–223

    Article  CAS  Google Scholar 

  62. Nicholson TP, Rudd BA, Dawson M, Lazarus CM, Simpson TJ, Cox RJ (2001) Design and utility of oligo nucleotide gene probes for fungal polyketide synthases. ACS Chem Biol 8:157–178

    Article  CAS  Google Scholar 

  63. Lin X, Huang YJ, Zheng ZH, Su WJ, Qian MX, Shen YM (2010) Endophytes from the pharmaceutical plant, Annona squamosa: isolation, bioactivity, identification and diversity of its polyketide synthase gene. Fungal Divers 41:41–51

    Article  Google Scholar 

  64. Thompson JD, Gibson TJ, Plewniak F, Jeanmougin F, Higgins DG (1997) The CLUSTAL X windows interface: flexible strategies for multiple sequence alignment aided by quality analysis tools. Nucleic Acids Res 25:4876–4882

    Article  CAS  Google Scholar 

  65. Sievers F, Wilm A, Dineen DG, Gibson TJ, Karplus K, Li W, Lopez R, McWilliam H, Remmert M, Söding J, Thompson JD, Higgins D (2011) Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega. Mol Syst Biol Oct 11(7):1–6

    Google Scholar 

  66. Tamura K, Peterson D, Peterson N, Stecher G, Nei M (2011) MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol Biol Evol 28:2731–2739

    Article  CAS  Google Scholar 

  67. Yu Z, Zhan B, Sun W, Zhang Li Z (2013) Phylogenetically diverse endozoic fungi in the South China Sea sponges and their potential in synthesizing bioactive natural products suggested by PKS gene and cytotoxic activity analysis. Fungal Divers 58(1):127–141

    Article  Google Scholar 

  68. Marchler-Bauer A, Anderson JB, Cherukuri PF, De Weese-Scott C, Geer LY (2005) CDD: a Conserved Domain Database for protein classification. Nucleic Acids Res 33:192–196

    Article  Google Scholar 

  69. Geer LY, Domrachev M, Lipman DJ, Bryant SH (2002) CDART: protein homology by domain architecture. Genome Res 12(10):1619–1623

    Article  CAS  Google Scholar 

  70. Laskowski RA, Watson JD, Thornton JM (2005) ProFunc: a server for predicting protein function from 3D structure. Nucleic Acids Res 33:W89–W93

    Article  CAS  Google Scholar 

  71. Schwede T, Kopp J, Guex N, Peitsch MC (2003) SWISS-MODEL: an automated protein homology-modeling server. Nucleic Acids Res 31:3381–3385

    Article  CAS  Google Scholar 

  72. Rojas DJ, Sette LD, de Araujo WL, Lopes MSG, da Silva LF, Furlan RLA, Padilla G (2012) The diversity of polyketides synthase genes from sugarcane-derived fungi. Microbial Ecol 63(3):565–577

    Article  CAS  Google Scholar 

  73. Guex N, Peitsch MC (1997) SWISS-MODEL and the Swiss-PDB Viewer: an environment for comparative protein modelling. Electrophoresis 18:2714–2723

    Article  CAS  Google Scholar 

  74. Sippl MJ (1993) Recognition of errors in three-dimensional structures of proteins. Proteins 17:355–362

    Article  CAS  Google Scholar 

  75. Wiederstein M, Sippl MJ (2007) ProSA-web: interactive web service for the recognition of errors in three-dimensional structures of proteins. Nucleic Acids Res 35:W407–W410

    Article  Google Scholar 

  76. Maiti R, Van Domselaar GH, Zhang H, Wishart DS (2004) SuperPose: a simple server for sophisticated structural superposition. Nucleic Acids Res 32(suppl 2):W590–W594

    Article  CAS  Google Scholar 

  77. Laskowski RA, MacArthru MW, Moss DS, Thorton JM (1993) PROCHECK: a program to check the stereochemical quality of protein structure. J Appl Cryst 26:283–291

    Article  CAS  Google Scholar 

  78. Colovos C, Yeates TO (1993) Verification of protein structure: patterns of nonbonded atomic interactions. Protein Sci 2:1511–1519

    Article  CAS  Google Scholar 

  79. Luthy R, Bowie JU, Eisenberg D (1992) Assessment of protein models with three-dimensional profiles. Nature 356:83–85

    Article  CAS  Google Scholar 

  80. Arnold K, Bordoli L, Kopp J, Schwede T (2006) The SWISS-MODEL Workspace: a web-based environment for protein structure homology modelling. Bioinformatics 22:195–201

    Article  CAS  Google Scholar 

  81. Benkert P, Biasini M, Schwede T (2011) Toward the estimation of the absolute quality of individual protein structure models. Bioinformatics 27(3):343–350

    Article  CAS  Google Scholar 

  82. Zhang Y (2008) I-TASSER server for protein 3D structure prediction. BMC Bioinformatics 23:9–40

    Google Scholar 

  83. Roy A, Kucukura A, Zhang Y (2010) I-TASSER: a unified platform for automated protein structure and function prediction. Nat Protoc 5:725–738

    Article  CAS  Google Scholar 

  84. Yang J, Yan R, Roy A, Xu D, Poisson J, Zhang Y (2015) The I-TASSER suit: protein structure and function prediction. Nat Methods 12:7–8

    Article  CAS  Google Scholar 

  85. Zhang Y, Mu J, Feng Y, Kang Y, Zhang J, Juan P, Wang Y, Ma LF, Zhu YH (2009) Broad-spectrum antimicrobial epiphytic and endophytic fungi from marine organisms: isolation, bioassay and taxonomy. Mar Drugs 7:97–112

    Article  CAS  Google Scholar 

  86. Siqueira VM, Conti R, de Araujo JM, Souza-Motta CM (2011) Endophytic fungi from the medicinal plant Lippia sidoides Cham., and their antimicrobial activity. Symbiosis 52:89–95

    Article  CAS  Google Scholar 

  87. CLSI (2009) Performance standards for antimicrobial disk susceptibility tests; approved standard Tenth ed. Approved document M02-A10. Clinical and Laboratory Standards Institute, Wayne

  88. CLSI (2009) Method for antifungal disk diffusion susceptibility testing of yeasts. Second ed. Approved document M44-A2. Clinical and Laboratory Standards Institute, Wayne

  89. CLSI (2009) Method for antifungal disk diffusion susceptibility testing of filamentous fungi; proposed guideline. Approved standard M51-P. Clinical and Laboratory Standards Institute, Wayne

  90. Arivudainambi USE, Anand TD, Shanmugaiah V, Karunakaran C, Rajendran A (2011) Novel bioactive metabolites producing endophytic fungus Colletotrichum gloeosporioides against multidrug-resistant Staphylococcus aureus. FEMS Immunol Med Microbiol 61:340–345

    Article  CAS  Google Scholar 

  91. Mattana CM, Satorres SE, Sosa A, Fusco M, Alcaraz LE (2010) Antibacterial activity of extracts of Acacia aroma against methicillin-resistant and methicillin sensitive Staphylococcus. Braz J Microbiol 41:581–587

    Article  CAS  Google Scholar 

  92. Bicalho B, Goncalves RA, Zibordi AP, Manfio GP, Marsaioli AJ (2003) Antimicrobial compounds of fungi vectored by Clusia spp. (Clusiaceae) pollinating bees. Z Naturforsch C 58(9–10):746–751

    CAS  Google Scholar 

  93. CLSI (2009) Methods for dilution antimicrobial susceptibility tests for bacteria that grow aerobically; eighth ed. Approved standard M07-A8. Clinical and Laboratory Standards Institute documents, Wayne

  94. CLSI (2008) Development of in vitro susceptibility testing criteria and quality control parameters. 3rd Edition. Approved documents M23-A3. Clinical and Laboratory Standards Institute, Wayne

  95. CLSI (2011) Performance standards for antimicrobial susceptibility testing: 21st informational supplement. Approved Standard M100-S21. Clinical and Laboratory Standards Institute, Wayne

  96. Sette LD, Passarini MRZ, Delarmelina C, Salati F, Duarte MCT (2006) Molecular characterization and antimicrobial activity of endophytic fungi from coffee plants. W J Microbiol Bitechnol 22:1185–1195

    Article  CAS  Google Scholar 

  97. CLSI (2008) Reference method for broth dilution antifungal susceptibility testing of yeasts. 3rd ed M27-A3. Clinical and Laboratory Standards Institute, Wayne

  98. CLSI (2008) Reference method for broth dilution antifungal susceptibility testing of filamentous fungi. 2nd ed. Approved document. M38-A2. Clinical and Laboratory Standards Institute, Wayne

  99. Buatong J, Phongpaichit S, Rukachaisirikul V, Sakayaroj J (2011) Antimicrobial activity of crude extracts from mangrove fungal endophytes. W J Microbiol Bitechnol 27:3005–3008

    Article  CAS  Google Scholar 

  100. Glauser G, Gindro K, Fringeli J, De Joffrey JP, Rudaz S, Wolfender JL (2009) Differential analysis of mycoalexins in confrontation zones of grapevine fungal pathogens by ultrahigh pressure liquid chromatography/time-of-flight mass spectrometry and capillary nuclear magnetic resonance. J Agric Food Chem 57:1127–1134

    Article  CAS  Google Scholar 

  101. Schmidt-Dannert C (2015) NextGen microbial natural products discovery. Microb Biotechnol 8(1):26–28

    Article  Google Scholar 

  102. Liu X, Bolla K, Ashforth EJ, Zhuo Y, Gao H, Huang P, Stanley SA, Hung DT, Zhang L (2012) Systematics-guided bioprospecting for bioactive microbial natural products. Antonie Van Leeuwenhoek 101(1):55–66

    Article  Google Scholar 

  103. Ang MLT, Murima P, Pethe K (2015) Next-generation antimicrobials: from chemical biology to first-in-class drugs. Arch Pharm Res 38(9):1702–1717

    Article  CAS  Google Scholar 

  104. Grzelak EM, Hwang C, Cai G, Nam JW, Choules MP, Gao W, Lankin DC, McAlpine JB, Mulugeta SG, Napolitano JG, Suh JW, Yang SH, Chen J, Lee H, Kim JY, Cho SH, Pauli GF, Franzblau SG, Jaki BU (2016) Bioautography with TLC-MS/NMR for rapid discovery of anti-tuberculosis lead compounds from natural sources. ACS Infect Dis 2(4):294–301

    Article  CAS  Google Scholar 

  105. Sultan S, Sun L, Blunt JW, Cole ALJ, Munro MHG, Ramasamy K, Weber JFF (2014) Evolving trends in the dereplication of natural product extracts. 3: further lasiodiplodins from Lasiodiplodia theobromae, an endophyte from Mapania kurzii. Tetrahedron Lett 55(2):453–455

    Article  CAS  Google Scholar 

  106. Potterat O, Hamburger M (2013) Concepts and technologies for tracking bioactive compounds in natural product extracts: generation of libraries, and hyphenation of analytical processes with bioassays. Nat Prod Rep 30(4):546–564

    Article  CAS  Google Scholar 

  107. Hubert J, Nuzillard JM, Renault JH (2015) Dereplication strategies in natural product research: how many tools and methodologies behind the same concept? Phytochem Rev. doi:10.1007/s11101-015-9448-7

    Google Scholar 

  108. Lee JS, Ko KS, Jung HS (2000) Phylogenetic analysis of Xylaria based on nuclear ribosomal ITS1-5.8S-ITS2 sequences. FEMS Microbiol Lett 187:89–93

    Article  CAS  Google Scholar 

  109. Chen J, Zhang LC, Xing YM, Wang YQ, Xing XK (2013) Diversity and taxonomy of endophytic Xylariaceous fungi from medicinal plants of Dendrobium (Orchidaceae). PLoS One 8(3):1–11

    CAS  Google Scholar 

  110. Liu X, Dong M, Chen X, Jiang M, Lu X, Zhou J (2008) Antimicrobial activity of an endophytic Xylaria sp. YX-28 and identification of its antimicrobial compound 7-amino-4-methylcoumarin. Appl Microbiol Biotechnol 78(2):241–247

    Article  CAS  Google Scholar 

  111. Hu ZY, Li YY, Lu CH, Lin T, Hu P, Shen MY (2010) Seven novel linear polyketides from Xylaria sp. NCY2. Helv Chim Acta 93(5):925–933

    Article  CAS  Google Scholar 

  112. Wei H, Xu YM, Espinosa-Artiles P, Liu MX, Luo JG, U’Ren MJ, Arnold E, Leslie Gunatilaka AA (2015) Sesquiterpenes and other constituents of Xylaria sp. NC1214, a fungal endophyte of the moss Hypnum sp. Phytochemistry 118:102–108

    Article  CAS  Google Scholar 

  113. Amnuaykanjanasin A, Punya J, Paungmoung P, Rungrod A, Tachaleat A, Pongpattanakitshote S, Cheevadhanarak S, Tanticharoen M (2005) Diversity of type I polyketide synthase genes in the wood-decay fungus Xylaria sp. BCC 1067. FEMS Microbiol Lett 251:125–136

    Article  CAS  Google Scholar 

  114. Paungmoung P, Punya J, Pongapattanakitshote S, Jeamton W, Vichisoonthonkul T, Bhumiratana S, Tanticharoen M, Linne U, Marahiel MA, Cheevadhanarak S (2007) Detection of nonribosomal peptide synthetase genes in Xylaria sp. BCC1067 and cloning of XyNRPSA. FEMS Microbiol Lett 274:260–268

    Article  CAS  Google Scholar 

  115. Amnuaykanjanasin A, Phonghanpot S, Sengpanich N, Cheevadhanarak S, Tanticharoen M (2009) Insect-specific polyketide synthases (PKSs), potential PKS-nonribosomal peptide synthetase hybrids, and novel PKS clades in tropical fungi. Appl Environ Microbiol 75(11):3721–3732

    Article  CAS  Google Scholar 

  116. Zhou K, Zhang X, Zhang F, Li Z (2011) Phylogenetically diverse cultivable fungal community and polyketide synthase (PKS), non-ribosomal peptide synthase (NRPS) genes associated with the South China Sea sponges. Microbial Ecol 62(3):644–654

    Article  Google Scholar 

  117. Jumpathong J, Seshime Y, Fujii I, Peberdy J, Lumyong S (2011) Genome screening for reducing type I polyketide synthase genes in tropical fungi associated with medicinal plants. World J Microb Biot 27:1989–1995

    Article  CAS  Google Scholar 

  118. Miller KI, Qing C, Sze DMY, Neilan BA (2013) Culturable endophytes of medicinal plants and the genetic basis for their bioactivity. Microbial Ecol 64:431–449

    Article  Google Scholar 

  119. Mousa WK, Raizada MN (2015) Biodiversity of genes encoding anti-microbial traits within plant associated microbes. Front Plant Sci 6(231):1–25

    Google Scholar 

  120. Yadav G, Gokhale RS, Mohanty D (2009) Towards prediction of metabolic products of polyketide synthases: an in silico analysis. PLoS Comput Biol 5(4):e1000351

    Article  CAS  Google Scholar 

  121. Andersen MR, Nielsen JB, Klitgaard A, Petersen LM, Zachariasen M, Hansen TJ, Mortensen UH (2013) Accurate prediction of secondary metabolite gene clusters in filamentous fungi. Proc Natl Acad Sci 110(1):E99–E107

    Article  CAS  Google Scholar 

  122. Weber T, Kim HU (2016) The secondary metabolite bioinformatics portal: computational tools to facilitate synthetic biology of secondary metabolite production. Syst Synth Biol 1(2):69–79

    Google Scholar 

  123. Sun H, Loong Ho C, Ding F, Soehano I, Wei Liu X, Xun Lian Z (2012) Synthesis of (R)-mellein by a partially reducing iterative polyketide synthase. J Am Chem Soc 134:11924–11927

    Article  CAS  Google Scholar 

  124. Naveed H, Hameed US, Harrus D, Bourguet W, Arold ST, Gao X (2015) An integrated structure- and system-based framework to identify new targets of metabolites and known drugs. Bioinformatics 31(24):3922–3929

    CAS  Google Scholar 

  125. Roche DB, Brackenridge DA, McGuffin LJ (2015) Proteins and their interacting partners: an introduction to protein–ligand binding site prediction methods. Int J Mol Sci 16:29829–29842

    Article  CAS  Google Scholar 

  126. Jenke-Kodama H, Dittmann E (2009) Bioinformatic perspective on NRPS/PKS megasynthases: advances and challenges. Nat Prod Rep 26(7):874–883

    Article  CAS  Google Scholar 

  127. Pickens LB, Tang Y, Chooi YH (2011) Metabolic engineering for the production of natural products. Annu Rev Chem Biomol 2:211–236

    Article  CAS  Google Scholar 

  128. Lounnas V, Ritschel T, Kelder J, McGuire R, Bywater RP, Foloppe N (2013) Current progress in structure-based rational drug design marks a new mindset in drug discovery. Comput Struct Biotechnol J 5(6):1–14

    Article  Google Scholar 

  129. Kim E, Moore BS, Yoon YJ (2015) Reinvigorating natural product combinatorial biosynthesis with synthetic biology. Nat Chem Biol 11(9):649–659

    Article  CAS  Google Scholar 

  130. King JR, Edgar S, Qiao K, Stephanopoulos G (2016) Accessing nature’s diversity through metabolic engineering and synthetic biology. F1000Res 397:1–11

    Google Scholar 

  131. Marston A, Hostettmann K (1999) In: Bohlin L, Bruhn JG (eds) Bioassay methods in natural product research and drug development. Springer, Berlin, 48:67–87

  132. Choma IM, Grzelak EM (2011) Bioautography detection in thin-layer chromatography. J Chromatogr A 1218(19):2684–2691

    Article  CAS  Google Scholar 

  133. Marston A (2011) Thin-layer chromatography with biological detection in phytochemistry. J Chromatogr A 1218(19):2676–2683

    Article  CAS  Google Scholar 

  134. Cheng Z, Wu T (2013) TLC bioautography: high throughput technique for screening of bioactive natural products. Comb Chem High Throughput Screen 16(7):531–549

    Article  CAS  Google Scholar 

  135. Dewanjee S, Gangopadhyay M, Bhattacharya N, Khanra R, Dua TK (2015) Bioautography and its scope in the field of natural product chemistry. J Pharm Biomed Anal 5(2):75–84

    Article  Google Scholar 

  136. Rahalison L, Hamburger M, Hostettmann K, Monod M, Frenk E (1991) A bioautographic agar overlay method for the detection of antifungal compounds from higher plants. Phytochem Anal 2(5):199–203

    Article  CAS  Google Scholar 

  137. Higgs RE, Zahn JA, Gygi JD, Hilton MD (2001) Rapid method to estimate the presence of secondary metabolites in microbial extracts. Appl Environ Microbiol 67(1):371–376

    Article  CAS  Google Scholar 

  138. Tormo JR, Garcia JB (2005) Automated analyses of HPLC profiles of microbial extracts. In: Natural products. Drug discovery and therapeutic medicine. Springer, Germany, pp 57–75

  139. Krug D, Muller R (2014) Secondary metabolomics: the impact of mass spectrometry-based approaches on the discovery and characterization of microbial natural products. Nat Prod Rep 31(6):768–783

    Article  CAS  Google Scholar 

  140. Eugster PJ, Boccard J, Debrus B, Breant L, Wolfender JL, Martel S, Carrupt PA (2014) Retention time prediction for dereplication of natural products (CxHyOz) in LC–MS metabolite profiling. Phytochemistry 108:196–207

    Article  CAS  Google Scholar 

  141. Yuliana ND, Jahangir M, Verpoorte R, Choi YH (2013) Metabolomics for the rapid dereplication of bioactive compounds from natural sources. Phytochem Rev 12(2):293–304

    Article  CAS  Google Scholar 

  142. Muria-Gonzalez MJ, Chooi YH, Breen S, Solomon PS (2015) The past, present and future of secondary metabolite research in the Dothideomycetes. Mol Plant Pathol 16(1):92–107

    Article  Google Scholar 

  143. Nielsen KF, Larsen TO (2015) The importance of mass spectrometric dereplication in fungal secondary metabolite analysis. Front Microbiol 6:71

    Google Scholar 

  144. Sica VP, Raja HA, El-Elimat T, Kertesz V, Van Berkel GJ, Pearce CJ, Oberlies NH (2015) Dereplicating and spatial mapping of secondary metabolites from fungal cultures in Situ. J Natural Products 78(8):1926–1936

    Article  CAS  Google Scholar 

  145. Halabalaki M, Vougogiannopoulou K, Mikros E, Skaltsounis AL (2014) Recent advances and new strategies in the NMR-based identification of natural products. Curr Opin Biotechnol 25:1–7

    Article  CAS  Google Scholar 

  146. Williams RB, O’Neil-Johnson M, Williams AJ, Wheeler P, Pol R, Moser A (2015) Dereplication of natural products using minimal NMR data inputs. Org Biomol Chem 13(39):9957–9962

    Article  CAS  Google Scholar 

  147. Pauli GF, Niemitz M, Bisson J, Lodewyk MW, Soldi C, Shaw JT, Hiemstra H (2016) Toward Structural Correctness: aquatolide and the importance of 1D proton NMR FID Archiving. J Org Chem 81(3):878–889

    Article  CAS  Google Scholar 

  148. Zhang A, Sun H, Wang P, Han Y, Wang X (2012) Modern analytical techniques in metabolomics analysis. Analyst 137(2):293–300

    Article  CAS  Google Scholar 

  149. Kouloura E, Genta-Jouve G, Pergola C, Krauth V, Litaudon M, Benaki D, Halabalaki M (2014) Dereplication and metabolomics strategies for the discovery of bioactive natural products: the Acronychia example. Planta Medica 80(16):SL3

    Article  Google Scholar 

  150. Pelantova H, Bartova S, Kuzma M (2014) Advanced techniques for NMR analysis of complex biological mixtures—from simple NMR to hyphenated techniques. In: Havlicek V, Spizek J (eds) Natural products analysis: instrumentation, methods and applications. Wiley, Hoboken

    Google Scholar 

  151. Pauli GF, Chen SN, Lankin DC, Bisson J, Case RJ, Chadwick LR, McAlpine JB (2014) Essential parameters for structural analysis and dereplication by 1H NMR spectroscopy. J Nat Prod 77(6):1473–1487

    Article  CAS  Google Scholar 

Download references

Acknowledgements

Funding was provided by the University Grants Commission (Grant No. 37-449/2009), Department of Science and Technology (DST-SERB), New Delhi, India. We gratefully acknowledge the help of Prof. Dr. Marc Stadler, Head of research department ‘Microbial Drugs’, Dr. Eric Kuhnert, post doctoral fellow and Pia Philine Wotsch, Technical assistant, Helmholtz Centre for Infection Research, Braunschweig, Germany, during our molecular identification of mycoendo-symbiotic Xylaria psidii-FPL-52(S). We also gratefully acknowledge the kind help of Dr. Fernando Reyes, Head of the Chemistry Department at Fundacin Medina, Spain (PHARMASEA) for structure elucidation. We also acknowledge Dr. Shrisha, D. L., and Dr. Nagabhushan for their help in collection and identification of host Ficus pumila Linn., (Moraceae). We sincerely acknowledge Spectroscopy/Analytical Test Facility (SATF), Society for Innovation and Development (SID), Indian Institute of Science (IISc), Bangalore, Karnataka, India for LC-MS analytical facility. We also thanks technical staffs of Vijnana Bhavan, IOE and UGC-PURSE, MHRD (UGC) Government of India, University of Mysore, Mysore, Karnataka, India, for providing NMR and FT-IR instrumentation facilities.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sreedharamurthy Satish.

Ethics declarations

Conflict of interest

All authors confirm that they have no conflict of interests.

Human and animal rights

This article does not contain any studies with human participants or animals performed by any of the authors.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOC 22464 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rakshith, D., Santosh, P., Pradeep, T.P. et al. Application of Bioassay-Guided Fractionation Coupled with a Molecular Approach for the Dereplication of Antimicrobial Metabolites. Chromatographia 79, 1625–1642 (2016). https://doi.org/10.1007/s10337-016-3188-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10337-016-3188-8

Keywords

Navigation