Research

Article


Nature Biotechnology 25, 447 - 453 (2007)
Published online: 18 March 2007 | doi:10.1038/nbt1297

Complete genome sequence of the erythromycin-producing bacterium Saccharopolyspora erythraea NRRL23338

Markiyan Oliynyk1,2,3, Markiyan Samborskyy1,3, John B Lester1, Tatiana Mironenko1, Nataliya Scott1, Shilo Dickens1, Stephen F Haydock1 & Peter F Leadlay1

This article is distributed under the terms of the Creative Commons Attribution-Non-Commercial-Share Alike license (http://creativecommons.org/licenses/by-nc-sa/3.0/), which permits distribution, and reproduction in any medium, provided the original author and source are credited. This license does not permit commercial exploitation, and derivative works must be licensed under the same or similar license.


Saccharopolyspora erythraea is used for the industrial-scale production of the antibiotic erythromycin A, derivatives of which play a vital role in medicine. The sequenced chromosome of this soil bacterium comprises 8,212,805 base pairs, predicted to encode 7,264 genes. It is circular, like those of the pathogenic actinomycetes Mycobacterium tuberculosis and Corynebacterium diphtheriae, but unlike the linear chromosomes of the model actinomycete Streptomyces coelicolor A3(2) and the closely related Streptomyces avermitilis. The S. erythraea genome contains at least 25 gene clusters for production of known or predicted secondary metabolites, at least 72 genes predicted to confer resistance to a range of common antibiotic classes and many sets of duplicated genes to support its saprophytic lifestyle. The availability of the genome sequence of S. erythraea will improve insight into its biology and facilitate rational development of strains to generate high-titer producers of clinically important antibiotics.


S. erythraea (Waksman 1923) Labeda 1987, comb. nov.1 is a Gram-positive filamentous bacterium originally identified as Streptomyces erythraeus but later assigned to the genus Saccharopolyspora. Despite this reclassification, it has been considered as very close in its biology to genuine streptomycetes such as S. avermitilis and the model organism S. coelicolor A3(2), the complete linear genomes of which have been published2, 3. S. erythraea produces erythromycin A, an important broad-spectrum antibiotic against pathogenic Gram-positive bacteria4. The commercial importance of erythromycin has fostered intensive research into its biosynthesis, and genetic engineering of the pathways involved promises to enhance production of potentially valuable analogs of polyketide secondary metabolites5. This has revived efforts to increase strain productivity. Historically, wild-type actinomycete strains have been subjected to multiple rounds of random mutagenesis and selection to obtain overproducing mutants for industrial production of a desired secondary metabolite. However, genome-scale information might allow such actinomycete strains to be more quickly optimized for production. We present the complete sequence of the S. erythraea genome and compare it to other actinobacteria whose genomes have been sequenced. The strain used, NRRL23338, is the original form6 of the type strain of S. erythraca NRRL2338, which is now listed as NRRL23338 white.

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Results

Sequencing and gene annotation of the S. erythraea genome

The main features of the chromosome sequence are shown in Table 1 and Figure 1. At 8,212,805 bp, it is comparable in size to the linear genomes of S. coelicolor M145 (8.7 Mbp) and S. avermitilis MA-4680 (9.0 Mbp). However, the S. erythraea genome is apparently circular rather than linear, a topology it shares with other actinobacteria such as M. tuberculosis7, C. diphtheriae8, Nocardia farcinica9 and Frankia spp10. The S. erythraea chromosome contains 7,198 predicted protein-coding sequences (CDSs), whose overall features are given in Table 1. For 4,777 (66.4%) of these, a putative function could be ascribed to the encoded proteins (Supplementary Table 1 online). Of the rest, 829 (11.5%) showed similarity to hypothetical proteins in other genomes, and 1,592 (22.1%) had no substantial similarity to predicted proteins in public databases. The initiation codon of the dnaA gene, adjacent to the origin of replication oriC, was chosen as the starting point for numbering the CDSs11. The average GC content of the S. erythraea chromosome is 71.1%, the GC bias being noticeably lower near oriC. There is a definite coding bias in favor of the leading strand (59.1%), and a pronounced GC skew inversion can be seen at oriC and also on the opposite side of the chromosome to oriC, where replication presumably terminates (Fig. 1). A region of the chromosome (total of 4.4 Mbp) extending either side of oriC (Fig. 1) appears to contain the majority (85%) of the genes predicted to be essential. The ends of this region are signaled by extensive regions of markedly lower GC content (Fig. 1). In this core region (an important feature also of the linear genomes of both S. avermitilis2 and S. coelicolor3), the gene order shows substantial residual conservation when other actinobacteria are used for comparison, although numerous inversions have occurred around oriC (Fig. 2). In the regions outside the core, where the chromosome has apparently undergone major expansion, S. erythraea has many more orthologs with N. farcinica or S. coelicolor than with M. tuberculosis, as expected, but the orthologs (reciprocal best-hit pairs in pairwise BLASTP searches E<10e−10) are in each case randomly scattered on the chromosome (Fig. 2). Compared to the linear streptomycete genomes, this 'noncore' region of the S. erythraea genome contains a very high number of insertion sequences (93 in 13 separate families, 2.3% of the genome) almost all of which are associated with transposases. Recombination between these repetitive elements could well have promoted the observed randomization of orthologous gene locations compared to the streptomycete genomes. Half of the insertion sequence elements are found in two major clusters at 2.5–3.1 Mbp and 5.4–5.75 Mbp, respectively (Fig. 1). These regions also have a substantially lower GC content (Fig. 1), which hints at prior horizontal gene transfer. A third region of lower GC content (6.06–6.24 Mbp) contains several giant CDSs (SACE_5463, SACE_5483 and SACE_5523) of unknown function, which may also have been acquired by horizontal gene transfer. Further work will be required12 to obtain an accurate identification of genes potentially acquired by horizontal gene transfer, and to identify, if possible, the likely origins of such genes12. There are four sets of rRNA genes, each containing, unusually, a duplicated 5S rRNA gene. S. erythraea also differs from sequenced streptomycete strains in having a sel operon (selA-D) for the production of selenocysteinyl-tRNA, including the selenocysteinyl-tRNA itself, which recognizes specific UGA stop codons (selC, SACE_3551). The previously described and partially sequenced plasmids pSE101 (ref. 13) and pSE211 (ref. 14) are both present as integrated elements of 10.9 kbp and 17.3 kbp, respectively.

Figure 1: Schematic representation of the S. erythraea chromosome.

Figure 1 : Schematic representation of the S. erythraea chromosome.

The outer scale is numbered in megabases from the origin of replication (ori) and indicates the core (blue) and noncore (yellow) chromosomal regions. Circles 1 and 2 (from the outside in), all genes (reverse and forward strand, respectively) color-coded by function (black, energy metabolism; red, information transfer and secondary metabolism; dark green, surface associated; cyan, degradation of large molecules; magenta, degradation of small molecules; yellow, central or intermediary metabolism; pale blue, regulators; orange, conserved hypothetical; brown, pseudogenes; pale green, unknown; gray, miscellaneous); circle 3, selected essential genes (for cell division, DNA replication, transcription, translation and amino-acid biosynthesis, color coding as for circles 1 and 2); circle 4, selected secondary metabolic genes (three largest PKS clusters labeled ERY, PKE and PKS3); circle 5, mobile genetic elements (blue, transposases; red, prophages/integrated plasmids); circle 6, GC content; circle 7, GC bias ((G − C/G + C), khaki indicates values >1, purple values <1).

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Figure 2: Whole genome comparisons of S. erythraea.

Figure 2 : Whole genome comparisons of S. erythraea.

(a) M. tuberculosis. (b) N. farcinica. (c) S. coelicolor. For each genome, DnaA is located at position 0. Dots represent a reciprocal best match (by BLAST comparison49) between orthologs (matches on the same strand in red and on the opposite strand in blue).

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The topology of the chromosome

The genome of S. erythraea NRRL2338 has previously been reported to be linear, as judged by restriction mapping15, but those data are also consistent with a circular genome if very small (and easily overlooked) predicted fragments from the putative termini are taken into account (Supplementary Fig. 1 online). No evidence was found, from our sequence analysis, for the presence of terminal inverted repeat sequences, genes encoding termini-associated proteins or any other features of previously described linear streptomycete genomes16, 17, 18. Unlike S. coelicolor and S. avermitilis, S. erythraea also has genes resembling both xerC (SACE_2322, SACE_6041) and xerD (SACE_2295, SACE_3643, SACE_5095, SACE_5242), which together comprise a site-specific recombination system for resolving dimeric circular chromosomes. We avoided extensive handling or passage of the S. erythraea NRRL23338 strain from the NRRL Culture Collection. This is the 'white', less-pigmented form previously described6, which produced substantially more erythromycin than the 'red' form listed as NRRL2338 red. The circularity of the genome therefore seems to be a feature of the type strain. We have recently conducted extensive shotgun sequencing of DNA from a different isolate of NRRL2338, and again found no evidence for linearity (data not shown). It remains possible that other lineages of S. erythraea may be found to be linear, and that the circular genome we have sequenced has arisen recently. An alternative possibility is that the difference in topology is ancient, and reflects the taxonomic separation of S. erythraea from the streptomycetes. It has been suggested that the unusual linear genomes of streptomycetes may have arisen through integration of a linear plasmid into a circular chromosome19, 20.

Gene comparisons with S. coelicolor and S. avermitilis

The Basic Local Alignment Search Tool protein clustering program (BLASTCLUST; minimum 70% length coverage, minimum 30% identity) was used to show that 3,589 (50%) of the predicted CDSs cluster into multigene families, which are likely to have arisen by gene duplication during evolution. The distribution and numbers of genes in these families presumably contribute to the survival of S. erythraea in the highly competitive, highly changeable soil environment (Supplementary Table 1). There is a rich array of genes potentially involved in defense or stress responses of various kinds. Intriguingly, in view of the evidence for potential acquisition of genes by horizontal gene transfer, S. erythraea has 20 restriction endonucleases and eight site-specific methyltransferases. Although it is not possible to specify their recognition sequences, together these restriction enzymes might have been expected to provide a formidable barrier to incoming DNA. Also present are the linked genes pglY (SACE_5129) and pglZ (SACE_5128), which mediate immunity to infection by bacteriophage φC31. In addition to the recombinational repair genes recA (SACE_1736) and recB (SACE_0087, SACE_1056, SACE_2242, SACE_6256), there is also recF (SACE_0005) and a GT-mismatch repair endonuclease (SACE_1556) with no counterpart in S. avermitilis or S. coelicolor. A total of 30 genes have products likely to be involved in ensuring or preserving correct protein folding, including two copies each of the three chaperone proteins groEL (SACE_0527, SACE_0543), groES (SACE_0927, SACE_7319) and dnaJ (SACE_1480, SACE_7208). Also likely to be involved in the stress response of S. erythraea are 22 genes related to uspA ('universal stress protein' of Escherichia coli) and genes encoding numerous cold shock proteins. A total of 1,118 genes (15.5%) are involved in regulation. As in S. avermitilis and S. coelicolor, an unusually large number of these (38) encode alternative sigma factors for the RNA polymerase, allowing for programmed transcription of particular sets of genes. A host of genes encoding other transcription factors are present, including 101 TetR-like, 34 GntR-like and 48 LysR-like regulatory proteins (Supplementary Table 2 online). The response to changing environmental conditions and availability of nutrients is mediated by at least 42 sensor kinases, and 113 two-component response regulators. There are 40 genes encoding serine/threonine protein kinases and numerous and diverse eukaryotic-like protein phosphatases. A total of 658 genes (8.9%) appear to be involved in transport into or out of the cell, encoding large numbers of proteins acting as permeases, ion- or sugar-binding transporters, or ATP-driven transmembrane pumps. A wide range of degradative enzymes, including seven chitinases and multiple proteinases and glucanases, is predicted to be secreted from the cell, and presumably these play a key role in breaking down the heterogenous alternative food sources in soil. There are cobalamin-dependent versions of methionine synthase (SACE_3898) and ribonucleotide reductase (SACE_1764) as well as cobalamin-independent enzymes catalyzing the same reactions (SACE_4744 and SACE_1282, SACE_1283, respectively). Although S. erythraea is considered an obligate aerobe, we found two complete clusters of genes for nitrate reductase, indicating that alternative electron acceptors might be available under conditions where oxygen levels are low. Detoxification is a key function for soil bacteria, and S. erythraea like the previously sequenced streptomycetes has numerous genes for transporters mediating resistance to various heavy metals, as well as a substantial cohort (36) of cytochrome P450 enzymes. Some of these have known roles in specific hydroxylation steps during biosynthesis of erythromycin and other secondary metabolites21, 22, 23, but others are predicted to play a role in selective oxidation and detoxification of organic materials.

Genes for antibiotic resistance

The genome of S. erythraea helps to explain the bacterium's intrinsic resistance to a wide range of antibiotics, because it encodes numerous enzymes predicted to inactivate common antibiotic classes. There are 17 β-lactamase genes present and two macrolide esterases. One of these esterases (SACE_0712) lies within the previously sequenced biosynthetic gene cluster for erythromycin and is inactivated by transposon insertion, but the second (SACE_1765) aligns well with authentic erythromycin esterases from erythromycin-resistant bacteria. It may have a hitherto-overlooked role in the regulation of erythromycin biosynthesis. Genes are present for efflux proteins for chloramphenicol (SACE_0228), daunorubicin (SACE_0206, SACE_0207), lincomycin, camphor (SACE_7237, SACE_7239), fosmidmycin (SACE_3971), bicyclomycin (SACE_2577, SACE_3939, SACE_6077, SACE_7323), tetracycline (SACE_1156, SACE_4211), vancomycin and related glycopeptides (SACE_7320, SACE_2593, SACE_2926), as well as genes for streptomycin phosphotransferase (SACE_5997), spectinomycin phosphotransferase (SACE_4273), aminoglycoside N-3′-acetyltransferase (SACE_3603, SACE_3604), an aminonucleoside phosphotransferase (SACE_1856) and two putative macrolide glycosyltransferases (SACE_1884, SACE_3599). At least 21 CDSs appear to encode dioxygenases related to the bleomycin-resistance protein, and, in addition to the known ermE rRNA methyltransferase gene (SACE_0733), 11 further ribosome-modifying rRNA methyltransferases appear to be present. In S. avermitilis, a second version of tryptophanyl-tRNA synthetase2 may be resistant to the antibiotic indolmycin, which targets the usual version of this enzyme. Experiments are needed to determine whether in S. erythraea the instances of duplicated aminoacyl-tRNA synthetase genes (three for cysteine, two each for lysine, threonine and tryptophan) have any such significance.

Potential for production of secondary metabolites

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S. erythraea is best known as the organism used for industrial-scale production of the macrolide polyketide erythromycin A. The gene clusters for erythromycin (ery)121, and for a second modular polyketide synthase (PKS) of unknown function (pke)22, have been previously analyzed, as has the gene (SACE_1243, rppA) for a type III PKS, which generates the reddish pigment typical of S. erythraea23. The genomic sequencing has revealed a further 22 clusters for the biosynthesis of polyketides, terpenes and nonribosomally synthesized peptides. The distribution of these clusters is not uniform around the chromosome: only four (including that for erythromycin) are in the 'core' region that contains most of the essential genes (Fig. 1), and one of these four clusters (nrps1) is inactivated by frameshift mutations. Twenty-one of the clusters are outside this region. Of the uncharacterized PKS gene clusters (Fig. 3 and Supplementary Table 3 online), one cluster (pfa) appears to govern the biosynthesis of polyunsaturated fatty acids such as eicosapentaenoic acid. Most of the others are modular, and between them are expected to generate specific polyketides in the range of 2–9 polyketide units long (for details of predicted domains, see Supplementary Table 4 online). Two (SACE_5308, pks7; and SACE_5532, pks8) would encode multifunctional single-module PKS enzymes apparently related to the iterative polyketide synthases involved in enediyne or methylsalicylic acid synthesis. None of the hypothetical products of any of these PKSs, or of the pke PKS, have previously been detected, although extensive searches were made using 50 different solid and liquid media22. Strikingly, there are no type II PKS genes encoding the biosynthesis of aromatic polyketides, which are such a characteristic component of natural product biosynthesis in typical streptomycetes such as S. coelicolor and S. avermitilis, where they routinely govern the synthesis of antibiotics and spore pigments. Their absence in S. erythraea is therefore surprising. The S. erythraea genome also houses a number of gene clusters encoding nonribosomal peptide synthetases (NRPSs) (Fig. 4 and Supplementary Table 3). These modular multienzyme systems are widespread in both bacteria and fungi and their products include (often cyclic) peptide antibiotics, immunosuppressants like cyclosporin, penicillins and iron-scavenging compounds (siderophores). Although iron is an abundant element in soil, owing to its poor bioavailability, a particularly large number of genes in soil bacteria appear to encode proteins involved in the acquisition and uptake of iron. Many streptomycetes synthesize nonpeptidic hydroxamate siderophores such as desferrioxamine E, synthesized from lysine and ornithine, but the genes required for this pathway24 are not present in S. erythraea. Comparison of the NRPS sequences with those of authentic NRPSs allows the probable enzyme complement of each multienzyme to be deduced and tentative deductions to be drawn as to the likely structure of the peptide product (Supplementary Table 5 online). Our predictions are based on a structure-based “specificity code”25, which, together with later refinements26, 27, provides useful clues to the nature of the amino acid introduced at each stage. This will certainly be useful in guiding genome mining for the natural products of the nrps genes of S. erythraea, but it is important to stress that there are now multiple examples where the compounds isolated are different from those predicted by such methods (see, for example, the recent substantial correction of the structure of the siderophore coelichelin from S. coelicolor28). Of the S. erythraea NRPS-containing gene clusters, nrps3 (SACE_2691-2703) and nrps5 (SACE_3028-3039) may govern siderophore production, as both contain several genes whose predicted protein products are similar to proteins essential for iron-siderophore recognition and transport. S. erythraea produces at least one hydroxamate siderophore29. Intriguingly, S. erythraea has a complete set of genes resembling mxc genes of the myxobacterium Stigmatella aurantiaca30 required for the synthesis from chorismic acid of 2,3-dihydroxybenzoic acyl-O-AMP, a key precursor of the catechol-type siderophore myxochelin (SACE_3854, mxcD; SACE_3852, MxcF; SACE_3855, mxcC; SACE_3853, mxcE). In S. erythraea, the C-5 precursors for terpenoid biosynthesis are apparently generated by the methylerythritol phosphate pathway, for which all the genes are present. Terpenoid metabolites play various roles in bacteria, providing for example quinone components of the electron transport chain, modified tRNA species, and carotenoid pigments for UV protection. Of the six terpene synthase genes present (Supplementary Table 3 online), three (tpc1, tpc3 and tpc5) show substantial similarity to terpene cyclases in other organisms that are known to produce geosmin, a sesquiterpene that provides soil with its characteristic smell. Similarly, the hop cluster is very similar to clusters in S. avermitilis (SAV1650-1654) and S. coelicolor (SCO6760-6764) that are thought to direct the production of hopanoids31. These compounds are proposed to reduce desiccation stress in aerial mycelium. Scattered elsewhere in the genome there are additional genes potentially involved in secondary metabolite–producing pathways. For example, there is a partial set of carotenoid biosynthetic genes (SACE_3271, SACE_3272, SACE_1713, SACE_3269, SACE_3539). The presence of a tryptophan halogenase (SACE_4919) and of a second halogenase (SACE_4927) may signal the production of halogen-containing metabolites in this strain. The CDSs SACE_4230-4233 closely resemble the ramCSAB genes of S. coelicolor, which are involved in production of the lantibiotic-like peptide SapB that acts as a morphogen in aiding the production of aerial hyphae32. Two other possible lantibiotic synthetase genes are encoded by SACE_4389 and SACE_4025.

Figure 3: Gene clusters for polyketide biosynthesis.

Figure 3 : Gene clusters for polyketide biosynthesis.

abc, ABC transporter; acc, acyl-CoA carboxylase; acd, acyl-CoA dehydrogenase; acp, acyl carrier protein; acs, acyl-CoA synthetase-like gene; amo, amine oxidase, amt, aminotransferase; at, acyltransferase; bcp, biotin carboxy carrier protein; cbs, carbamoyltransferase; cup, cupin-like protein; dah, DAHP synthase; dh, dehydratase; eff, efflux gene; ermE, erythromycin-resistance gene rRNA methyltransferase; ery, erythromycin; gt, glycosyltransferase; hmg, HMG-CoA synthase; ks, ketosynthase; ksIII, FabH-like protein; omt, O-methyltransferase; oxy, oxidoreductase; p450, cytochrome P450; pfa, polyunsaturated fatty acid synthase; pke, octaketide synthase; sta, StaD-like protein te, thioesterase.

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Figure 4: S. erythraea gene clusters for nonribosomal peptide synthetases.

Figure 4 : S. erythraea gene clusters for nonribosomal peptide synthetases.

abc, ABC transporter; acs, acyl-CoA synthetase-like protein; bla, β-lactamase; cys, cysteine-synthase-like protein; mcd, malonyl-CoA decarboxylase; mtb, mtbH-like protein; oct, ornithine carbamoyltransferase; ocd, ornithine/lysine cyclodeaminase; oxy, oxidoreductase, red, reductase; sip, siderophore interacting protein; syrP, SyrP-like protein; reg, regulatory protein; te, thioesterase.

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Genes contributing to erythromycin production

Although most polyketide antibiotic gene clusters contain one or more regulatory genes, their absence from the ery biosynthetic gene cluster has hampered efforts to enhance erythromycin production other than by medium manipulation, random mutagenesis and selection. The availability of the genome sequence will allow global approaches to defining the mechanism by which erythromycin production is controlled in S. erythraea, in understanding both classical repression by certain sources of carbon, nitrogen and phosphorus and the role of pathway-specific regulators. Meanwhile, there is already evidence, for the nonfilamentous Aeromicrobium erythreum, that increasing the flux through feeder metabolic pathways (Supplementary Fig. 2 online) strongly influences the erythromycin yield33. Production of erythromycin requires propionyl-CoA to provide a starter unit, and (2S)-methylmalonyl-CoA to provide extender units, for the polyketide chain of the antibiotic. Previous attempts to define the proximal pathways that furnish these building blocks have given inconclusive results34, and analysis of the genome sequence now suggests some reasons for this. For example, biotin-dependent carboxylation of propionyl-CoA is an established route to (2S)-methylmalonyl-CoA (Fig. 3), and in S. erythraea it appears that there are at least five genetic loci, displaying remarkably diverse protein architectures, that might code for an enzyme catalyzing this reaction (Supplementary Fig. 3 online)35, 36. Further work will be required to deconvolute the contributions made by these gene sets to erythromycin biosynthesis. A second proposed route to (2S)-methylmalonyl-CoA proceeds by the rearrangement of succinyl-CoA catalyzed by adenosylcobalamin-dependent methylmalonyl-CoA mutase, but this yields the (2R)-isomer of methylmalonyl-CoA, not the (2S)-isomer. Our analysis reveals the presence of a gene encoding an authentic methylmalonyl-CoA epimerase (SACE_6238) that would interconvert (2R)- and (2S)-isomers37. There is a counterpart of this gene in each of S. avermitilis (SAV2857) and S. coelicolor (SCO5398). There is a single cluster of the adenosylcobalamin-dependent methylmalonyl-CoA mutase genes (SACE_5638-5640). S. erythraea, unlike many streptomycetes, has no homolog of crotonyl-CoA reductase or of adenosylcobalamin-dependent isobutyryl-CoA mutase, explaining its inability to furnish butyrate units for polyketide biosynthesis38, 39; it also has no homolog of meaA in S. coelicolor, which has been implicated in provision of methylmalonyl-CoA from acetoacetyl-CoA40. The availability of the complete genome sequence now provides the basis for systematic approaches to identify and manipulate such feeder pathways with the aim of increasing polyketide production. It also provides the starting point for an integrated genome-scale analysis of S. erythraea metabolism, as provided recently for S. coelicolor41.

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Discussion

As with other soil bacteria that have been studied, S. erythraea has a remarkable potential for the production of secondary metabolites of various kinds, many of them with antibiotic activity. Although they are not essential for growth under laboratory conditions, it is clear that the ability to produce such compounds is a trait that confers a substantial advantage, which outweighs the considerable energetic cost of maintaining this arsenal. It has been pointed out, for example, that the presence of numerous modular polyketide synthase gene sets in the same cell might during evolution enhance the likelihood of recombination between them, leading to new and potentially fruitful biosynthetic pathways42. Further work will be required to establish the chemical structures and biological activities of the products of many of the pathways that have been uncovered, but our results emphasize that even in well-studied bacteria there is considerable untapped potential for producing diverse chemical compounds. Most of the predicted products appear to be unique to this strain. The sequencing of the S. erythraea genome has provided evidence of considerable divergence from the streptomycetes in gene organization and function, confirming previous taxonomic and biochemical insights. It will now be possible to analyze directly the genetic differences between the wild-type strain and the strains derived from it by mutation and selection that are used for industrial production of erythromycin A at high titer. Although such comparisons are unlikely to be immediately informative, because of the presence of numerous neutral or even deleterious mutations, they should give fresh impetus to the search for the causes of antibiotic overproduction in such strains.

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Methods

Sequencing and assembly.

Whole-genome shotgun sequencing of the S. erythraea NRRL2338 genome was done using frequently cutting restriction enzymes and 2- to 10-kbp fragments were cloned into plasmid vectors. Cosmids (32–46 kbp inserts) were also generated from genomic DNA and end-sequenced to provide additional read-pair information; to provide increased coverage of selected regions; and to fill gaps. Remaining gaps and ambiguities were closed using PCR products from specifically designed oligonucleotide primers. Sequence assembly was done using the Phrap assembler43 and editing was done using consed version 14 (ref. 44). Repeats were resolved by doing a mini-assembly for the individual sections of the genome, and the resulting consensus was integrated into the main genome assembly. The data overall were in good agreement (with one exception—see the text and Supplementary Fig. 1) with published AseI and DraI restriction maps15. The final assembly contained 72,537 sequence reads, including 51,626 reads from the whole genome shotgun, 5,069 from the cosmid clone shotgun, and 6,470 from cosmid ends, and 8,808 from cosmid primer walking, 262 from specific PCR products and 302 from scaffolding reads to resolve highly repetitive IS regions. Together this provided 7.1-fold coverage with an estimated error rate of <1 per 100,000 bases of the consensus sequence.

Genome analysis and annotation.

CDSs were predicted and annotated using the program fgenesB45 (http://www.softberry.com/), trained ab initio, and manually curated using Artemis (version 8)46 and a set of in-house PERL scripts. CDS annotation was based on hits to KEGG and Uniprot databases, and sorted according to the COG47 functional database. tRNA genes were predicted with tRNAscan48. The BLAST49 program (NCBI version 2.2.15) was used for database searches and BLASTclust (part of the NCBI BLAST distribution) was used to generate clusters of protein families. Interproscan50 was used to confirm domain assignments.

Accession codes.

EMBL/GenBank: The genome sequence has been deposited in the database under accession number AM420293.

Note: Supplementary information is available on the Nature Biotechnology website.

Author Contributions

P.F.L., J.B.L. and M.O. generated ideas and coordinated the project; M.O. and T.M. prepared genomic DNA, and constructed shotgun and cosmid libraries; T.M. and N.S. did shotgun template sequencing; S.D. maintained strains; M.O. and M.S. set up data collection, assembled shotgun reads, generated finishing reads and did programming for project automation and bioinformatics; M.S. did the assembly finishing and resolved repetitive element sequences; M.O. and M.S. completed gene detection; M.O., M.S. and P.F.L. annotated genes; S.F.H. gave input on annotation of secondary metabolic pathways; P.F.L., M.O. and M.S. cowrote the paper.



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Acknowledgments

We thank Torsten Schwecke, Mohammed Sebaihia, Neil Whitehead and Melanie Wall for help with initial sequence analysis. We gratefully acknowledge support of part of this work by a project grant from the Exploiting Genomics Initiative of the UK Biotechnology and Biological Sciences Research Council.

Competing interests statement

The authors declare  competing financial interests.

Received 21 December 2006; Accepted 21 February 2007; Published online 18 March 2007.

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  1. Department of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge CB2 1GA, UK.
  2. Present address: EMBL European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
  3. These authors contributed equally to the work.

Correspondence to: Peter F Leadlay1 e-mail: leadlay@mole.bio.cam.ac.uk