Open Access

Principles of microbial alchemy: insights from the Streptomyces coelicolorgenome sequence

Genome Biology20023:reviews1020.1

https://doi.org/10.1186/gb-2002-3-7-reviews1020

Published: 26 June 2002

Abstract

The world's most creative producers of natural pharmaceutical compounds are soil-dwelling bacteria classified as Streptomyces. The availability of the recently completed Streptomyces coelicolor genome sequence provides a link between the folklore of antibiotics and other bioactive compounds to underlying biochemical, molecular genetic and evolutionary principles.

Streptomyces, which belong to the bacterial order Actinomycetales, are similar in appearance to fungi and undergo a program of colonial morphogenesis that is coordinated with the excretion of bioactive compounds that are often colored (Figure 1) [1]. The biosynthesis of these compounds, many of which are antibiotics, occurs typically in response to a breakdown of balanced metabolism that interrupts or arrests growth [2,3]. On solid media this triggers formation of aerial filaments that septate and mature into a chain of spores.
Figure 1

Production of pigmented secondary metabolites by Streptomyces colonies. (a) Typical colonial morphologies of Streptomyces isolated from the soil. Colonies often excrete colored pigments, providing a visual recording of secondary metabolite biosynthesis. The chemically diverse compounds represent a vast array of bioactive compounds that often have pharmaceutical applications. (b) A panoramic view of Streptomyces coelicolor colonial morphology. Both peripheral and aerial mycelia develop from the central mass of the colony. Metabolites, including the blue antibiotic actinorhodin, are excreted into the medium and into aqueous droplets on the hydrophobic surface of the colony. Images courtesy of Tobias Kieser, Celia Bruton and Jennifer Tenor.

Streptomyces species are considered exceptionally well endowed for 'chemical warfare', presumably allowing them to eliminate bacterial and fungal competitors in soil ecosystems. This was first realized over fifty years ago, and since then the majority of known antibiotics have been isolated from Streptomyces. Although thousands of antibiotics have been described, these are thought to represent only a small fraction of the repertoire of bioactive compounds produced by Streptomyces [4,5]. In addition, empirical screening using various assays has revealed that Streptomyces culture supernatants contain other pharmaceutically active compounds, such as anti-viral and anti-cancer compounds, modulators of immune responses, and various enzyme inhibitors, as well as herbicides, insecticides, and anti-parasitic compounds [4,6,7]. Furthermore, chemical screening methods have uncovered the remarkable structural diversity of these compounds. Genome sequences of Streptomyces species are now providing an overview of the genetic elements responsible for this metabolic diversity, both within one bacterium and the entire genus. Analysis of the completed genome sequence of Streptomyces coelicolor [8] and its comparison with other species will give further insights into availability and nature of potentially useful bacterial metabolites.

Dozens of different Streptomyces species (Figure 1a) [1] can be selectively isolated from virtually any rich soil sample. Tens of thousands of Streptomyces strains are screened annually by pharmaceutical companies as potential sources of novel chemical compounds. High-throughput chromatographic analyses typically reveal that each strain has its own unique profile of secondary metabolites (metabolites that are secondary to the growth and maintenance of the cell), mostly compounds that are not found in synthetic chemical handbooks or combinatorial chemical libraries. The next step of this commercial process, namely increasing yields to make large-scale production of the compound feasible, has relied on screening for better culture conditions and overproducing mutants. Mutations that result in higher yields of certain metabolites can now be combined into one organism by genomic shuffling [9], thus reducing the time needed for developing industrial production strains. Although such empirical approaches have been very fruitful for individual secondary metabolites, the improvements are strain-specific, so the acquisition of useful knowledge is not cumulative. Thus, new Streptomyces secondary metabolites are still accessible only through expensive and time-consuming screening techniques.

The diversity of secondary metabolite structures defies simple chemical classification, but many of the most useful and best understood compounds are synthesized by two families of multifunctional enzymes that can assemble unusual carbon and peptide chains. Polyketide and peptide synthases catalyze condensation reactions that can be used to assemble acetyl CoA or amino-acid derivatives into polyketide and polypeptide structures, respectively. Polyketide synthases are structurally and functionally homologous to fatty acid synthases. 'Classical' fatty acid synthases initiate the assembly of fatty-acid chains with acetyl CoA, increase chain length by condensation with malonyl CoA and fully reduce the carboxyl residues at each step of extension. These have evolved into two different types of polyketide synthases: type I polyketide synthases, which catalyze a reaction in which the growing acyl chain is sequentially transferred to a series of modular reaction centers of the enzyme, typically generating macrocyclic lactone rings characteristic of so-called macrolide antibiotics; and type II polyketide synthases, which typically condense malonyl CoA iteratively, using the same active condensation site to generate aromatic compounds. Polypeptide-based antibiotics are often synthesized by non-ribosomal peptide synthases, which can condense more than 15 amino acids or unusual analogs into linear or cyclic structures.

Rapid progress in understanding these complex multifunctional enzymes was achieved through a combination of genetic and chemical approaches [10]. It is now possible to predict and engineer the structure of both polypeptides [11,12,13,14] and polyketides [11,12,13,15]. The modules of non-ribosomal peptide synthase and type I polyketide synthase enzymes are arranged in an order that is colinear with the component residues in the mature polymer. Furthermore, these enzyme modules can be genetically engineered to reprogram the order and modifications of residues within the polymers. Using this technology, dozens of derivatives of the polyketide erythromycin have been synthesized by reprogramming the erythromycin polyketide synthase [16]. Domain swapping between peptide synthases has demonstrated the feasibility of engineering peptide antibiotics [14]. Engineering additional domain modules will increase the repertoire available for introducing random changes or designing new antibiotics. It remains to be seen, however, whether these approaches will rival the diversity and specificity of compounds that have evolved in biological systems over hundreds of millions of years. For example, natural products are already specifically preselected to avoid negative interactions with other protein domains that might make them toxic to bacteria that produce them and likewise to humans. So how can genome sequencing help provide better access to natural products?

A remarkable revelation of the S. coelicolor genome sequence was that the numbers of secondary metabolites that can be made by a single Streptomyces isolate may be even more extensive than was previously recognized [8]. Homology-based searches using only polyketide and peptide synthases revealed many unrecognized metabolic capabilities in S. coelicolor (Figure 1b) and Streptomyces avermitilis, a species that has been used for many years as a source of the anti-parasitic compound avermectin for human and veterinary medicine. The S. avermitilis genome is predicted to encode at least 25 different secondary metabolites [17], including melanins, carotenoids, siderophores (microbial iron-binding agents required for iron import), type I and type II polyketides, and non-ribosomally assembled peptides. Forty years of genetic studies of S. coelicolor identified only a few of its secondary metabolites, namely prodigiosins (red pigmented antibiotics), two type II polyketides (the antibiotic actinorhodin as well as a gray spore pigment encoded by the whiE locus), and the non-ribosomal peptide calcium-dependent antibiotic (CDA). The S. coelicolor genome sequence now predicts 18 additional secondary metabolites, including polyketides synthesized by polyketide synthases of type I and type II and by a third type found primarily in plants, peptides assembled by non-ribosomal peptide synthases, siderophores, hopanoids (sterol-like bacterial lipids), butyrolactones (bacterial pheromones), terpene, geosmin (the predominant natural odor of soil), and others [8].

The genes of a secondary metabolic pathway are typically coregulated, clustered within the bacterial chromosome, and functional in heterologous species. Early mapping studies [18] revealed synteny (conserved order and orientation) of genes within homologous gene clusters encoding compounds of antibiotic biosynthesis pathways in different species. This probably reflects common ancestry and common adaptive functions for these gene clusters. Similarly, early linkage analyses of Streptomyces chromosomes suggested synteny of auxotrophic markers in different species [19]. Antibiotic biosynthetic clusters were not found in the same places in different Streptomyces chromosomes, however, suggesting that these clusters were incorporated later. Sequence analysis of Streptomyces chromosomes supports these initial findings and provides further evidence that secondary metabolic islands (SMILES), such as the antibiotic biosynthetic clusters, were acquired by horizontal transmission. Like pathogenicity islands - genomic segments in bacterial pathogens that encode virulence factors and may have evolved through horizontal transfer - genes for illegitimate recombination, such as those encoding integrases and transposases, are occasionally identified within or adjacent to antibiotic gene clusters in S. avermitilis [17] and S. coelicolor [8]. For example, genes found associated with the secondary metabolite clusters whiE and cda in S. coelicolor are such neighbors. Because the GC content of these clusters is indistinguishable from that of the adjacent chromosome sequences and their regulatory systems are incorporated with those of other Streptomyces genes, integration of SMILEs in the genome may have occurred long ago. The retention of apparently intact clusters, which contain no obvious pseudogenes, suggests that their products are at present important but are synthesized only when primary metabolic precursor pools can no longer support efficient growth.

The existence of so many different secondary metabolites probably indicates specific adaptations to different habitats. Mycobacteria, which are also members of the Actinomycetales, are also primarily saprophytic soil bacteria. But the genus also includes Mycobacterium tuberculosis and the leprosy-causing Mycobacterium leprae, two of the most dangerous pathogens known to man. The M. tuberculosis and S. coelicolor chromosomes show synteny within a region that is defined as the central core sequence in S. coelicolor (about 5 Megabases) [8]. Interestingly, the M. tuberculosis chromosome contains 18 polyketide synthase gene clusters [20]. The fact that six of these clusters were also found in the severely reduced M. leprae chromosome suggests that they serve indispensable functions in the bacteria [21]. Although many of the clusters may provide cell-wall components, in Mycobacterium ulcerans (the causative agent of a tropical skin disease), one produces mycolactone, a toxin involved in pathogenicity [22]. Mycobactin, a siderophore synthesized by a combination of polyketide synthases and non-ribosomal peptide synthases, plays an essential role in mycobacterial virulence [23]. The fact that Streptomyces produce potent immunomodulators, such as tacrolimus [24] (also called FK506 [25]) and rapamycin [26], suggests that secondary metabolites may provide other virulence functions, such as the immunosuppression that accompanies mycobacterial infections. Such compounds may have enormous therapeutic value because lethal pathogenicity effectors could potentially be turned into life-saving pharmaceutical compounds. Similarly, other actinomycetes that have not been as extensively exploited because of isolation and cultivation difficulties may also produce large numbers of unusual SMILE-encoded compounds with undiscovered and unanticipated biological activities [1,4,7] that may reflect each species' interactions with soil metazoans.

Because the S. coelicolor genome sequence is now available, large-scale methods of gene expression and site-directed mutagenesis can be exploited to identify even more secondary metabolites and to better understand the regulatory mechanisms that coordinate pathways of primary and secondary metabolism. In an early proteomic analysis using two-dimensional gel electrophoresis of Streptomyces hygroscopicus cultures, that had been pulse-labeled at various time points during growth, we used statistical analyses of global gene-expression patterns to identify secondary metabolic enzymes [27]. Analyses of the patterns displayed by 400 spots on the two-dimensional gels showed that the proteins encoded within the SMILE for biosynthesis of the antibiotic and herbicide bialaphos fell into discrete kinetic groups. Similar, but more extensive two-dimensional gel analyses have now been initiated in S. coelicolor by us and others, and several hundred protein spots have been identified [28,29]. In addition, Cohen and colleagues [30] were able to correlate transcriptional expression patterns with chromosome position by using powerful gene chip studies of S. coelicolor cultures, coupled with a knowledge-based algorithm. This approach allowed them to identify contiguous genes in four SMILEs corresponding to known polyketide synthase or non-ribosomal peptide synthase gene clusters. The same principle might be used to predict SMILEs producing novel compounds that are not encoded by polyketide or peptide synthases. In fact, kinetic analysis also revealed other blocks of coordinately regulated genes. These genes may be involved in the synthesis of previously unrecognized secondary metabolites in S. coelicolor. Although there are many secondary metabolites that are not dependent on polyketide synthases or non-ribosomal peptide synthases, few corresponding enzymes have been identified.

The genome of S. coelicolor provides an overview of the genetic framework that defines one streptomycete and its SMILEs. In future, the availability of genome sequences of other Streptomyces species will allow us to identify common features that define their shared genetic heritage and links with acquired secondary metabolic genes in different species. Statistical analyses of global gene-expression patterns, in combination with 'metabolomic' studies of the pools of metabolic intermediates and products, will facilitate both understanding and manipulation of the primary and secondary metabolic pathways of these bacteria thus ensuring their continued importance to man.

Declarations

Acknowledgements

Many thanks to Tobias Kieser, Celia Bruton and Jennifer Tenor for providing the photograph of the Streptomyces colonies.

Authors’ Affiliations

(1)
Biozentrum, Division of Molecular Microbiology, University of Basel

References

  1. Miyadoh S, Hamada M, Hotta K, Kudo T, Seino A, Vobis G, Yokota A: Atlas of Actinomycetes: Tokyo: Asakura Publishing Co. Ltd.;. 1997Google Scholar
  2. Süsstrunk U, Pidoux J, Taubert S, Ullmann A, Thompson CJ: Pleiotropic effects of cAMP on germination, antibiotic biosynthesis, and morphological development in Streptomyces coelicolor. Mol Microbiol. 1998, 30: 33-46. 10.1046/j.1365-2958.1998.01033.x.PubMedView ArticleGoogle Scholar
  3. Chater KF, Bibb MJ: Regulation of bacterial antibiotic production. In Products of Secondary Metabolism. Edited by: Pühler A. 1997, Weinheim: VCH, 57-105.Google Scholar
  4. Bérdy J: Are Actinomycetes exhausted as a source of secondary metabolites?. Proceedings of the Ninth Symposium on the Actinomycetes. 1995, 13-34.Google Scholar
  5. Watve MG, Tickoo R, Jog MM, Bhole BD: How many antibiotics are produced by the genus Streptomyces?. Arch Microbiol. 2001, 176: 386-390. 10.1007/s002030100345.PubMedView ArticleGoogle Scholar
  6. Vining LC: Functions of secondary metabolites. Annu Rev Microbiol. 1990, 44: 395-427. 10.1146/annurev.mi.44.100190.002143.PubMedView ArticleGoogle Scholar
  7. Sanglier JJ, Haag H, Huck TA, Fehr T: Novel bioactive compounds from Actinomycetes: a short review (1988-1992). Res Microbiol. 1993, 144: 633-642. 10.1016/0923-2508(93)90066-B.PubMedView ArticleGoogle Scholar
  8. Bentley SD, Chater KF, Cerdeno-Tarraga AM, Challis GL, Thomson NR, James KD, Harris DE, Quail MA, Kieser H, Harper D, et al: Complete genome sequence of the model actinomycete Streptomyces coelicolor A3(2). Nature. 2002, 417: 141-147. 10.1016/S0014-5793(97)01271-4.PubMedView ArticleGoogle Scholar
  9. Zhang YX, Perry K, Vinci VA, Powell K, Stemmer WP, del Cardayre SB: Genome shuffling leads to rapid phenotypic improvement in bacteria. Nature. 2002, 415: 644-646. 10.1038/415644a.PubMedView ArticleGoogle Scholar
  10. Hopwood DA: Genetic contributions to understanding polyketide synthases. Chem Rev. 1997, 97: 2465-2498. 10.1021/cr960034i.PubMedView ArticleGoogle Scholar
  11. Hutchinson CR: Microbial polyketide synthases: more and more prolific. Proc Natl Acad Sci USA. 1999, 96: 3336-3338. 10.1073/pnas.96.7.3336.PubMedPubMed CentralView ArticleGoogle Scholar
  12. Cane DE, Walsh CT, Khosla C: Harnessing the biosynthetic code: combinations, permutations, and mutations. Science. 1998, 282: 63-68. 10.1016/S0024-3795(98)10053-8.PubMedView ArticleGoogle Scholar
  13. Staunton J, Wilkinson B: Combinatorial biosynthesis of polyketides and nonribosomal peptides. Curr Opin Chem Biol. 2001, 5: 159-164. 10.1016/S1367-5931(00)00185-X.PubMedView ArticleGoogle Scholar
  14. Stachelhaus T, Schneider A, Marahiel MA: Rational design of peptide antibiotics by targeted replacement of bacterial and fungal domains. Science. 1995, 269: 69-72.PubMedView ArticleGoogle Scholar
  15. Leadlay PF: Combinatorial approaches to polyketide biosynthesis. Curr Opin Chem Biol. 1997, 1: 162-168. 10.1016/S1367-5931(97)80005-1.PubMedView ArticleGoogle Scholar
  16. McDaniel R, Thamchaipenet A, Gustafsson C, Fu H, Betlach M, Ashley G: Multiple genetic modifications of the erythromycin polyketide synthase to produce a library of novel "unnatural" natural products. Proc Natl Acad Sci USA. 1999, 96: 1846-1851. 10.1073/pnas.96.5.1846.PubMedPubMed CentralView ArticleGoogle Scholar
  17. Omura S, Ikeda H, Ishikawa J, Hanamoto A, Takahashi C, Shinose M, Takahashi Y, Horikawa H, Nakazawa H, Osonoe T, et al: Genome sequence of an industrial microorganism Streptomyces avermitilis: deducing the ability of producing secondary metabolites. Proc Natl Acad Sci USA. 2001, 98: 12215-12220. 10.1073/pnas.211433198.PubMedPubMed CentralView ArticleGoogle Scholar
  18. Hara O, Murakami T, Imai S, Anzai H, Itoh R, Kumada Y, Takano E, Satoh E, Satoh A, Nagaoka K, Thompson C: The bialaphos biosynthetic genes of Streptomyces viridochromogenes: cloning, heterospecific expression, and comparison with the genes of Streptomyces hygroscopicus. J Gen Microbiol. 1991, 137: 351-359.PubMedView ArticleGoogle Scholar
  19. Friend EJ, Hopwood DA: The linkage map of Streptomyces rimosus. J Gen Microbiol. 1971, 68: 187-197.PubMedView ArticleGoogle Scholar
  20. Cole ST, Brosch R, Parkhill J, Garnier T, Churcher C, Harris D, Gordon SV, Eiglmeier K, Gas S, Barry CE, et al: Deciphering the biology of Mycobacterium tuberculosis from the complete genome sequence. Nature. 1998, 393: 537-544. 10.1038/31159.PubMedView ArticleGoogle Scholar
  21. Cole ST, Eiglmeier K, Parkhill J, James KD, Thomson NR, Wheeler PR, Honore N, Garnier T, Churcher C, Harris D, et al: Massive gene decay in the leprosy bacillus. Nature. 2001, 409: 1007-1011. 10.1038/35059006.PubMedView ArticleGoogle Scholar
  22. George KM, Chatterjee D, Gunawardana G, Welty D, Hayman J, Lee R, Small PL: Mycolactone: a polyketide toxin from Mycobacterium ulcerans required for virulence. Science. 1999, 283: 854-857. 10.1006/bbrc.2001.4845.PubMedView ArticleGoogle Scholar
  23. Quadri LE, Sello J, Keating TA, Weinreb PH, Walsh CT: Identification of a Mycobacterium tuberculosis gene cluster encoding the biosynthetic enzymes for assembly of the virulence-conferring siderophore mycobactin. Chem Biol. 1998, 5: 631-645.PubMedView ArticleGoogle Scholar
  24. Umezawa H: Low-molecular-weight immunomodifiers produced by microorganisms. Biotechnol Genet Eng Rev. 1985, 3: 255-273.PubMedView ArticleGoogle Scholar
  25. Goto T, Kino T, Hatanaka H, Nishiyama M, Okuhara M, Kohsaka M, Aoki H, Imanaka H: Discovery of FK-506, a novel immunosuppressant isolated from Streptomyces tsukubaensis. Transplant Proc. 1987, 19: 4-8.PubMedGoogle Scholar
  26. Vezina C, Kudelski A, Sehgal SN: Rapamycin (AY-22,989), a new antifungal antibiotic. I. Taxonomy of the producing streptomycete and isolation of the active principle. J Antibiot (Tokyo). 1975, 28: 721-726.View ArticleGoogle Scholar
  27. Holt TG, Chang C, Laurent-Winter C, Murakami T, Garrels JI, Davies JE, Thompson CJ: Global changes in gene expression related to antibiotic synthesis in Streptomyces hygroscopicus. Mol Microbiol. 1992, 6: 969-980.PubMedView ArticleGoogle Scholar
  28. Vohradsky J, Li XM, Dale G, Folcher M, Nguyen L, Viollier PH, Thompson CJ: Developmental control of stress stimulons in Streptomyces coelicolor revealed by statistical analyses of global gene expression patterns. J Bacteriol. 2000, 182: 4979-4986. 10.1128/JB.182.17.4979-4986.2000.PubMedPubMed CentralView ArticleGoogle Scholar
  29. SWICZ: Swiss - Czech Proteomics Server. [http://proteom.biomed.cas.cz]
  30. Huang J, Lih CJ, Pan KH, Cohen SN: Global analysis of growth phase responsive gene expression and regulation of antibiotic biosynthetic pathways in Streptomyces coelicolor using DNA microarrays. Genes Dev. 2001, 15: 3183-3192. 10.1101/gad.943401.PubMedPubMed CentralView ArticleGoogle Scholar

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© BioMed Central Ltd 2002

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