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Applied and Environmental Microbiology logoLink to Applied and Environmental Microbiology
. 2016 Mar 7;82(6):1945–1957. doi: 10.1128/AEM.03011-15

Genome Analysis of the Fruiting Body-Forming Myxobacterium Chondromyces crocatus Reveals High Potential for Natural Product Biosynthesis

Nestor Zaburannyi a,d, Boyke Bunk b,d, Josef Maier c,e, Jörg Overmann b,d, Rolf Müller a,d,
Editor: C Vieillef
PMCID: PMC4784028  PMID: 26773087

Abstract

Here, we report the complete genome sequence of the type strain of the myxobacterial genus Chondromyces, Chondromyces crocatus Cm c5. It presents one of the largest prokaryotic genomes featuring a single circular chromosome and no plasmids. Analysis revealed an enlarged set of tRNA genes, along with reduced pressure on preferred codon usage compared to that of other bacterial genomes. The large coding capacity and the plethora of encoded secondary metabolite biosynthetic gene clusters are in line with the capability of Cm c5 to produce an arsenal of antibacterial, antifungal, and cytotoxic compounds. Known pathways of the ajudazol, chondramide, chondrochloren, crocacin, crocapeptin, and thuggacin compound families are complemented by many more natural compound biosynthetic gene clusters in the chromosome. Whole-genome comparison of the fruiting-body-forming type strain (Cm c5, DSM 14714) to an accustomed laboratory strain which has lost this ability (nonfruiting phenotype, Cm c5 fr−) revealed genetic changes in three loci. In addition to the low synteny found with the closest sequenced representative of the same family, Sorangium cellulosum, extensive genetic information duplication and broad application of eukaryotic-type signal transduction systems are hallmarks of this 11.3-Mbp prokaryotic genome.

INTRODUCTION

Myxobacteria represent a branch of Deltaproteobacteria with exceptionally large and GC-rich genomes. Usually isolated from soil, these bacteria are best known for a complex development cycle and as prolific producers of secondary metabolites exhibiting a broad variety of biological activities (1). The chemical diversity of the produced compounds has motivated scientists to study more myxobacterial strains, with an emphasis on phylogenetic variety (2, 3, 4). Several genomes of secondary metabolite-producing myxobacteria have been completely sequenced (5, 6). They exhibit genome sizes ranging from 9.2 to 14.7 Mbp, including the currently largest known bacterial genome of Sorangium cellulosum So0157-2 (7). The genomic diversity of myxobacteria is vast, and even strains of the same species may undergo genome reduction or expansion at an order of millions of base pairs (6, 7). Such diversity coincides with deviations in the genomic content of secondary metabolite biosynthetic gene clusters of known genomes, ranging from a prediction of 19 such clusters in Sandaracinus amylolyticus DSM 53668 to an estimated 38 clusters in Sorangium cellulosum So0157-2. Therefore, to better understand the biosynthetic capabilities of the myxobacteria and the relative frequency of secondary metabolites encoded in their genomes, more representatives are required to be sequenced. We here report our analysis of the genome sequence of Chondromyces crocatus Cm c5, the first representative of the genus Chondromyces belonging to the family of the Sorangiineae.

MATERIALS AND METHODS

Genome sequencing.

The genome sequence of Chondromyces crocatus Cm c5 was determined through a combination of next- and third-generation technologies available at the Helmholtz Centre for Infection Research (Braunschweig, Germany), LGC Genomics GmbH (Berlin, Germany), and the Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures (Braunschweig, Germany). Illumina and Roche 454 platforms were used to generate several small-insert (300- to 400-bp) and long-insert (6,000-bp) genomic libraries, respectively. Next-generation technologies yielded 3.3 Gb of data, which represent ≈300-fold genome coverage. These data were assembled with the help of Abyss-pe, version v3.1.4, and Newbler, version 2.6, software. Additionally, a cosmid library of 1,152 molecules was end sequenced, which represents 4× mean genome coverage, at LGC Genomics GmbH (Berlin, Germany). Primer walking, subcloning of DNA, physical mapping of selected cosmid clones, and Sanger sequencing at GATC Biotech AG (Constance, Germany) were used to fill the remaining gaps. Finally, the sequence of the chromosome was verified by an assembly of data derived from three single-molecule, real-time (SMRT) cells in SMRT Portal, version 2.2.0, software (Pacific Biosciences, Menlo Park, CA, USA) after sequencing at the Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures (Braunschweig, Germany). An SMRTbell template library was prepared according to the instructions from Pacific Biosciences (Menlo Park, CA, USA) by following the procedures and checklist for preparation and sequencing of greater than 10 kb of template. Briefly, for preparation of 10-kb libraries, ∼10 μg of genomic DNA was end repaired and ligated overnight to hairpin adapters by applying components from DNA/Polymerase Binding Kit P4 from Pacific Biosciences (Menlo Park, CA, USA). Reactions were carried out according to the manufacturer's instructions. SMRTbell template was exonuclease treated for removal of incompletely formed reaction products. Conditions for annealing of sequencing primers and binding of polymerase to the purified SMRTbell template were assessed with the calculator in RS Remote (Pacific Biosciences, Menlo Park, CA, USA). SMRT sequencing was carried out on a PacBio RS II system (Pacific Biosciences, Menlo Park, CA, USA) taking one 180-min movie for each SMRT cell. In total three SMRT cells were run. The absence of additional replicating elements was confirmed by total DNA extraction in 1% agarose blocks (8) and subsequent pulsed-field gel electrophoresis in a Rotaphor device (Biometra GmbH, Goettingen, Germany).

Genome annotation and characterization.

Coding sequences were predicted using Prodigal, version 2.6.2, software (9). In addition to the prediction by Prodigal, to improve the detection of short coding sequences and genes with atypical nucleotide compositions, sequences were compared to Swiss-Prot database release 2015_02 with blastx, version 2.2.26+ (10) (E value of <1e−5). Annotation of tRNA genes was based on tRNAscan-SE, version 1.3.1 (11). Functional assignment of the putative coding sequence (CDS) functions was based on kClust, version 1.0, protein clustering (12) with 1,139 RefSeq prokaryotic genomes. Conserved domains of the protein sequences were identified with the Conserved Domain Database (CDD) (13). For a genome comparison, the annotated version of Sorangium cellulosum So ce56 was downloaded from the GenBank database, and both genomes were checked for bidirectional blastp hits with an E value of <1e−10. A whole-genome synteny plot was generated by Circoletto, version 01.11.13 (14); homologous hits with an E value of <1e−10 were considered significant. A cumulative GC skew plot was generated using Gnumeric, version 1.12.17, by dividing the genome sequence into 1,000 equally spaced windows and applying for each window the following formula: skewn = skewn−1 + (G − C)/(G + C), where n is the window sequential number. The phylogenetic tree for 13 myxobacterial strains was constructed using Geneious Tree Builder, version 8.1.14 (15), the Tamura-Nei evolution model TN93 (16), and the Bdellovibrio bacteriovorus 16S rRNA gene (BD_RS04005) sequence as an outgroup. Bootstrap support values are shown beside interior nodes (except for nodes fully supported by 100 out of 100 runs). The scale bar represents the phylogenetic distance in nucleotide substitutions per site. General sequence statistics were calculated using Geneious, version 8.1.14 (15). To calculate the tRNA/rRNA gene ratio, the GenBank FTP resource containing complete bacterial genomes (ftp://ftp.ncbi.nlm.nih.gov/genomes/Bacteria/) was replicated on 11 December 2014 and processed to obtain values from 2,787 genomes. Mean intergenic distances were calculated as the sum of distances between genes divided by the number of gene features. Orthologs of protein sequences for C. crocatus Cm c5, Myxococcus xanthus DK 1622, and S. cellulosum So ce56 were estimated in Proteinortho, version 5.11 (17), with synteny comparison turned on and an algebraic connectivity threshold of 0.1.

Comparison of Cm c5 fr− and Cm c5 fr+ genomes.

Sequencing of the Cm c5 fruiting body-forming strain (Cm c5 fr+) was performed using Illumina paired-end technology at Helmholtz Centre for Infection Research (Braunschweig, Germany). Obtained paired sequencing reads with the length of 301 bp were assembled to the Cm c5 fr+ genome reference in Geneious software, version 8.0.4. The result of the assembly was exported and processed in the GATK toolkit, version 3.3-0 (18) (Unified Genotyper variant caller, ploidy of 1) and SVDetect tool, version 0.7 (19) (window size, 1,000; step length, 1,000; read length, 301; mates orientation, forward-reverse [FR]).

Estimation of biosynthetic potential.

The genome sequence of Cm c5 was screened for gene clusters involved in natural product biosynthesis with the antiSMASH, version 2.0.2, tool (20). The fraction of genome that is devoted to secondary metabolism was calculated as the sum of lengths of all detected biosynthetic gene clusters divided by genome length. Loci without known correlation to any particular natural product were submitted for homology searches using tblastx, version 2.2.26+ (10), to a subset of the NCBI nucleotide database. The subset database was created by issuing the query “gene cluster [TITL] 5000:500000 [SLEN]” to the NCBI nucleotide database on 26 November 2014, downloading the 3,117 resulting records, and formatting them into the local nucleotide blast database by the “makeblastdb” command from the BLAST package. The potential of nonribosomal peptide synthetase (NRPS)/type 1 polyketide synthase [PKS(I)] systems encoded in the genome was estimated by comparing the protein sequences of MbtH from Mycobacterium tuberculosis H37Rv (GenBank accession number NP_216893) and the phosphopantetheinyl transferase from Sorangium cellulosum So ce56 (GenBank accession number CAN95050.1 to all protein sequences of Cm c5 by using blastp, version 2.2.26+ (10).

Analysis of codon adaptation. (i) Source of coding sequences.

For comparative analysis CDS sequences of four genomes were used: Escherichia coli K-12 MG1655 (NCBI Genome RefSeq NC_000913.3 of 15 May 2014; 4,140 CDSs), Myxococcus xanthus DK 1622 (GenBank accession number CP000113.1; 23 June 2014; 7,331 CDSs), Sorangium cellulosum So ce56 (GenBank accession number AM746676.1; 23 June 2014; 9,375 CDSs) and Chondromyces crocatus Cm c5 (this work; 8,339 CDSs).

(ii) Extraction of CDS subsets.

(a) Hxp2 subsets. A set of 258 highly translated CDSs covering important cellular functions were selected from E. coli K-12 MG1655 based on the ribosome profiling data from Li et al. (21). Homologous sequences (encoding putative orthologs and paralogs) were subsequently selected from three myxobacterial genomes (353 from M. xanthus DK 1622 [see File S2, M. xanthus DK 1622 Hxp2 tab, in the supplemental material], 388 from S. cellulosum So ce56 [see File S2, S. cellulosum So ce56 Hxp2 tab], and 352 from C. crocatus Cm c5 [see File S2, C. crocatus Cm c5 Hxp2 tab]). For E. coli several well-translated CDSs with low codon adaptation (e.g., cspA) and those with no homologous CDSs in myxobacterial genomes (e.g., the E. coli-specific murein lipoprotein CDS lpp) were omitted. Paralogous CDSs and functionally related proteins of several basic functional categories (see File S2, CDS categories tab, in the supplemental material) were added to the list. The selected CDSs from E. coli comprise 70% of all translation events during logarithmic growth (21). CDSs conserved in all three myxobacterial species and showing a relatively high codon adaptation according to Hxp2 codon usage tables were also added to the myxobacterial Hxp2 sets. Also, 23 CDSs coding for ribosomal proteins, PheS, and InfA (initiation factor A) with extremely low codon adaptation (relative to the codon usage tables calculated from either all CDSs or Hxp2 CDSs) were deleted from the respective lists (see File S2, C. crocatus Cm c5 Hxp2 tab, in the supplemental material). The genes for these omitted CDSs cluster within two chromosomal regions, in which all the occurring CDSs show very atypical low codon adaptation.

(b) Msy subsets. For megasynthase (Msy) subsets all CDSs equal to or longer than 2,000 bp were selected if they contained motifs typical for PKSs or NRPSs detected by antiSMASH, version 2.0.2 (20).

(iii) Calculation of codon usage adaptation.

Codon usage tables for all CDSs and the Hxp2 subset were calculated with the EMBOSS program cusp (22) after FASTA format headers and line breaks within sequences from the FASTA-formatted set of CDS sequences were removed. The EMBOSS program cai was used for calculation of codon adaptation indices (CAI) (23) for each CDS for both codon usage tables (all CDSs and Hxp2 CDSs). The box plot function of R (R Development Core Team, 2011) was used for display of statistic parameters of CAI distributions, where the boxes around the median line extend to the first and third quartiles of the data, and the whiskers extend to the last value within a range covering 1.5 times the distance from the median to the quartile edges. Outliers from these ranges are indicated by additional circles. Significant differences in the location parameters of the CAI distributions were evaluated with a Mann-Whitney test (function wilcox.test for two samples in R).

(iv) Quantification of codon bias.

For analysis of codon bias within genomes and CDS sets (all, Hxp2, and Msy) two different measures of codon bias were applied: (a) measuring ΔmCAIHxp2–All and (b) measuring ΔH.

(a) Measuring ΔmCAIHxp2–All. The ΔmCAIHxp2–All values represent the difference between the median CAI (mCAI) values of the Hxp2 CDS set and those of all CDSs in the genome, where the CAI values for both of the CDS sets were calculated either with the codon usage table derived from the Hxp2 CDS set or with the codon usage table derived from all sequences. The significance for the distributions of CAI values having different median values was evaluated with a Mann-Whitney test (function wilcox.test for two samples in R). This measure describes the overall differences in codon usage but does not quantify selectively enriched codons in an optimized set of CDSs. ΔmCAIMsy–All represents the difference between the median CAI values of the Msy CDSs set and those of all CDSs in the genome, respectively.

(b) Measuring ΔH. The codon bias measure ΔH (24) is the improvement in the log likelihood per codon of an evolutionarily optimized set of CDSs when the synonymous codon usage fractions of the optimized set (observation) instead of the fractions of a typical control set (expectation) are used. The measure is identical with the G test statistic (likelihood ratio of goodness of fit), normalized by the number of observations (codons) and divided by 2.

The G test statistic provides P values for significant differences between the codon count distributions of a CDS set and the control set by comparison with the χ2 distribution with 41 degrees of freedom (the sum of the number of synonymous codons for each amino acid minus 1). The respective G statistic for a P value of 0.001 is 74.7; for a P value of 0.01 it is 65.0, and for a P value of 0.05 it is 56.9. ΔH quantifies the enrichment with preferred codons, whether they are most used or not, and represents the strength of translational selection on synonymous codon usage acting on a set of CDSs. For calculation of ΔH we used the Hxp2 CDS set or the Msy CDS set as an optimized CDS set and a control set, which comprises 80% of all CDSs, reduced by the removal of that 20% of CDSs which have the most extreme distance to the typical codon usage. A reference set of CDSs resembling 80% of all CDSs with the most typical codon usage was originally suggested by A. C. Retchless and J. G. Lawrence for their codon bias measure, adaptive codon enrichment (ACE) (25). For ranking the CDSs on typical codon usage, the measure of the distance to native codon usage, Dncu (26), was used, which is the weighted geometrical mean of the Euclidian distances in synonymous codon usage of all amino acids, except for single-codon amino acids Trp and Met, in a CDS.

(v) Calculation of intragenic leucine codon localization.

Intragenic distribution of leucine codons was calculated by dividing coding sequences into 100 windows and calculating the leucine codon usage frequencies for each window. Afterwards, this codon usage table was loaded and imported into Gnumeric, version 1.12.17, and subjected to correlation analysis (by selecting statistics → descriptive statistics → correlation).

HGT analysis.

To detect putative horizontally transferred genes, the implicit phylogenetic method of protein sequence comparison by the blastp, version 2.2.26+ (10), program was used. Protein sequence queries from the C. crocatus Cm c5 genome were used in homology searches against the nonredundant (NR) protein database downloaded from NCBI on 26 November 2014. High-scoring pairs were filtered by E value (<1e−30) and query-to-hit and hit-to-query sequence overlap (>75%). Only the first occurrence of each genus was used to evaluate candidate genes for horizontal gene transfer (HGT). The top 10 genera were tested for the presence of sequences belonging to the Myxococcales order, with the exception of sequences belonging to the Chondromyces genus. Proteins were assigned as candidates for being horizontally transferred based on the presence of members of Myxococcales in the top 20 unique genera of the BLAST hits. The number of 20 top hits was chosen to be comparable with the number of complete and draft myxobacterial genomes available in the downloaded NR database, excluding the genus on which ancestry assessment is being performed (Chondromyces): five Myxococcus (GenBank accession numbers NC_008095, NC_015711, NC_020126, NZ_AKYI00000000, and NZ_AOBT00000000), four Anaeromyxobacter (accession numbers NC_007760, NC_009675, NC_011145, and NC_011891), and two Sorangium (accession numbers NC_010162 and NC_021658) genomes and one Stigmatella (NC_014623), one Corallococcus (NC_017030), one Cystobacter (NZ_ANAH00000000), one Plesiocystis (NZ_ABCS00000000), and one Haliangium (NC_013440) genome.

Nucleotide sequence accession number.

The nucleotide sequence of the C. crocatus Cm c5 fr+ chromosome was submitted to the GenBank database under accession number CP012159.

RESULTS

General characteristics of C. crocatus Cm c5 genome.

Chondromyces crocatus Cm c5 features a single, circular chromosome, containing 11.3 Mbp and more than 8,000 predicted coding sequences (CDSs), making it one of the largest sequenced prokaryotic genomes to date. No additional extrachromosomal replicating elements are present, a trait which is consistent among myxobacteria. The placement of the genus Chondromyces within the high-GC branch of the Deltaproteobacteria is in line with the genomic GC content (68.7 mol% G+C) and 16S rRNA gene sequence phylogeny (Fig. 1). The closest sequenced relative is the cellulose-degrading myxobacterium Sorangium cellulosum So ce56 (6). As customary, the start of the chromosome and locus numbering was assigned to the first base of dnaA coding sequence (position 1), whereas the origin of replication is located 725 kb downstream. The spatial separation between the dnaA gene and oriC is clearly reflected by the cumulative GC skew pattern (Fig. 2; see also Fig. S1 in the supplemental material for noncumulative GC skew). Interestingly, other highly conserved genes (e.g., dnaN and gyrB) typically found near the oriC site also occur in the vicinity of oriC in strain Cm c5. The effect of similar dnaA gene translocations on replication is not known (27). It most likely occurred in the ancestor species of Sorangium and Chondromyces before the two genera diverged and has subsequently been maintained in these particularly slow-growing myxobacteria.

FIG 1.

FIG 1

Phylogenetic tree of 16S rRNA gene sequences from 13 myxobacterial genomes of the suborders of Nannocystineae, Sorangiineae, and Cystobacterineae. Between two and four rRNA gene clusters are present in each of the analyzed genomes (indicated by the numbers beside the terminal nodes).

FIG 2.

FIG 2

Cumulative GC skew of the Cm c5 chromosome. Each dot represents a window length of 1/1,000 of the chromosome. Arrows indicate the locations of the dnaA gene and the origin and terminus of replication.

For genome comparison within the order of Myxococcales, we chose the closest sequenced myxobacterial relatives, the soil-dwelling, cellulose-degrading S. cellulosum So ce56 and the predatory model organism Myxococcus xanthus DK 1622. Both reference organisms are motile and capable of forming fruiting bodies. In spite of the rather close phylogenetic relatedness of the strains Cm c5 and So ce56, the global synteny of their genome sequences is low (Fig. 3). This confirms a considerable degree of genome divergence that has been reported within myxobacterial suborders (6) but complicates the elucidation of genome evolution in myxobacteria. Clustering of protein sequences from C. crocatus Cm c5, S. cellulosum So ce56, and M. xanthus DK 1622 into orthologous groups through the Proteinortho software resulted in just 50 to 55% overlap between the proteomes of the first two of these strains (Fig. 4). This indicates that substantial parts of genomes are either not of common ancestral origin or have diverged rapidly. As much as 30% of predicted CDSs from Cm c5, the smaller of the two genomes, have no homologs in So ce56. Therefore, genome reduction is not the single major driving force of genome evolution in these bacteria. A dot plot analysis identified numerous deletions and the presence of extensive nonhomologous loci but also revealed some remaining synteny of the entire genomes (Fig. 3). Overall, our findings on the limited number of myxobacterial genome sequences available thus far reflect the fact that currently available isolates in pure cultures represent deep-branching lineages with considerable diversification of their genome sequences.

FIG 3.

FIG 3

Dot plot comparison of homologous regions between chromosomes of Chondromyces crocatus Cm c5 and Sorangium cellulosum So ce56. Each dot represents a nucleotide blastn homology hit with an E value of <1e−10. Scales display the homology region's physical distance to ori as a percentage of the chromosome (maximum, 50%). Homologies with translocations of no more than 10% are shown in black.

FIG 4.

FIG 4

Summary of clustering of protein sequences derived from three genomes of Cm c5, So ce56, and DK 1622 by the Proteinortho program. Overlapping areas of the Venn diagram display common proteins assigned into orthologous clusters in two (dark gray area) or all three (black area) organisms.

Putative functions were annotated for 42% of the predicted proteins; the remaining protein sequences had no significant similarity to any functionally assigned record in the RefSeq database. The chromosome of Cm c5 contains 93 predicted tRNA genes, 10 of which are presumably pseudogenes, and three rRNA gene clusters. This high tRNA gene/rRNA gene ratio is unusual among prokaryotes (Fig. 5). Out of the 93 tRNA genes, 30 (5 of which are presumably pseudogenes) are clustered in a ≈10-kb region. In the myxobacterial genomes described so far, tRNA genes are rarely aggregated into clusters, with the largest known to contain eight genes. In contrast, numerous long stretches of tRNA genes are characteristic of the smaller, streamlined genomes of pathogenic bacteria, such as Staphylococcus aureus (28). Some of the possible implications of the enlarged tRNA gene pool in Cm c5 are discussed further below. The features of the chromosomes of the three myxobacterial strains are summarized in Table 1.

FIG 5.

FIG 5

Correspondence between the number of tRNA genes and rRNA gene clusters in bacterial genomes. Data were obtained from sequences of 2,787 complete prokaryotic genomes, including C. crocatus Cm c5.

TABLE 1.

General features of the genomes of C. crocatus Cm c5, S. cellulosum So ce56, and M. xanthus DK 1622

Strain Chromosome length (bp) GC content (%) No. of CDSs rRNA operons (no.) No. of tRNA genes (pseudogenes)a Aminoacyl-tRNA synthetases (no.) Largest CDS (bp) Avg CDS length (bp) Avg intergenic distance (bp) Coding potential (%) Biosynthetic gene clusters (no.) Biosynthetic potential (%)
DK 1622 9,139,763 68.9 7,331 4 65 (1) 27 42,825 1,141 106 90.5 24 10.9
Cm c5 fr+ 11,388,132 68.7 8,339 3 93 (10) 30 24,477 1,213 150 88.6 35 11
Cm c5 fr− 11,387,322 68.7 8,337 3 93 (10) 30 24,477 1,213 150 88.6 35 11
So ce56 13,033,779 71.4 9,380 4 60 (1) 26 25,254 1,206 176 86.6 29 6.5
a

The number of pseudogenes included in the total number of tRNA genes is shown.

Specific features of codon usage in Cm c5.

The observed increased number of tRNA genes in the Cm c5 genome might reflect evolutionary processes that operate on the codon level. We therefore investigated the codon composition of the Cm c5 genome using several approaches. First, the codon adaptation indices (CAI) for the complete CDS set (all), the presumably highly expressed CDS subset (Hxp2), and the megasynthase CDS subset (Msy) of the three myxobacterial genomes were compared to those of Escherichia coli K-12 MG1655 (Fig. 6; see also Table S1 in the supplemental material). Next, we used the bias measure ΔH (24) that quantifies the evolutionary selection for codons of a CDS subset (Hxp2 or Msy) compared with that of a control set. The control set consisted of the 80% of all CDSs with the most typical codon usage (26). The CDSs of the three myxobacterial genomes were found to exhibit a wider distribution of CAI values than E. coli. This is also true for the respective Hxp2 CDS sets. The distance of the median CAI values, calculated with the codon usage table of all CDSs (Fig. 6, white boxes) between both CDS sets (ΔmCAIHxp2−All) (see Table S1 in the supplemental material) are similar for the four genomes; however, the distribution of the Hxp2 set of E. coli is more focused. The CAI distributions of the Hxp2 sets are significantly different from those of all CDSs for all investigated species. The codon usage bias, expressed as the difference in the median CAI values (ΔmCAIHxp2−All), when calculated with the codon usage table of the Hxp2 CDSs (Fig. 6, gray boxes) is larger for E. coli (0.200) and smaller for the myxobacterial species, decreasing from M. xanthus DK 1622 (0.131), to S. cellulosum So ce56 (0.100), and C. crocatus Cm c5 (0.080). The respective values are all significantly different from those of the control set compared by G test statistics. The CAI distributions of the megasynthase (Msy) CDS sets are significantly different from those of all CDSs only for M. xanthus DK 1622 (median difference, −0.040), whereas for S. cellulosum So ce56 (0.012) and C. crocatus Cm c5 (−0.015) the distributions are found to be similar. When calculated with the Hxp2-specific codon usage frequencies, differences of the median CAI values are significant for all three species, with the largest value for M. xanthus DK 1622 (−0.185) and this value about halved for both of the other myxobacterial species. The ΔH measure for selective codon enrichment of the Msy CDS set over the 80% control set is lower than that of the respective ΔH values of the Hxp2 CDS set. The G test statistics show high significance in selective codon enrichment for all species; they decrease from M. xanthus DK 1622 to C. crocatus Cm c5.

FIG 6.

FIG 6

Distribution of CAI of classes of coding sequences (CDSs) based on synonymous codon usage tables constructed either from all CDSs (in white) or from a subset encoding the presumably highly expressed proteins (in gray). The shown CDS classes are as follows: All, all CDSs; Hxp2, presumably highly expressed; Msy, megasynthases. Significant differences between CAI distributions of the classes and the respective distribution for all CDSs (black asterisks) and that of the Msy CDS set and the Hxp2 CDS set (gray asterisks) were calculated using a Mann-Whitney test (***, P < 0.001; **, P < 0.01; *, P < 0.05). The boxes around the median line extend to the first and third quartiles of the data, and the whiskers extend to the last value within a range covering 1.5 times the distance from the median to the quartile edges. Outliers from these ranges are indicated by additional circles.

Despite a growth rate comparable to the rates of S. cellulosum So ce56 and M. xanthus DK 1622, C. crocatus Cm c5 has more tRNA genes predicted by tRNAscan-SE (93; 10 of them are pseudogenes) than the two other myxobacterial species (S. cellulosum So ce56, 60 [1 pseudogene]; M. xanthus DK 1622, 65 [1 pseudogene]). Many of these additional nonorthologous tRNA genes (18 of 28) are located in one cluster of 30 (pseudogenes) putative tRNA genes (10-kbp genomic region on the minus strand between genes CMC5_054990 and CMC5_055280). These additional tRNA genes either have anticodons for preferred codons or represent the most efficient tRNAs for the respective codon set with the greatest wobble capacity. The additional tRNAs may therefore have been acquired and retained not only to optimize the usage of preferred codons but also to allow better initial expression of foreign genetic material.

For instance, four synonymous codons exist for alanine (GCA, GCC, GCG, and GCU), which are decoded by tRNAs having three different anticodons (GGC, CGC, and UGC). S. cellulosum So ce56 and C. crocatus Cm c5 share four orthologous tRNA genes, one with anticodon GGC, two with CGC, and one with UGC. The UGC anticodon is generally modified by U34 methyl transferases, which enables pairing of its modified form (5-hydroxyuridine derivative, or xo5U) with GCA, GCG, and GCU codons and, albeit weakly, to the GCC codon. It was shown that tRNA genes harboring anticodons with U at the first position of the anticodon (U34) are generally preferred in the bacterial kingdom, presumably because their wobbling capacity makes decoding much more efficient and faster (29). C. crocatus Cm c5 has five additional alanine-specific tRNA genes compared to the genome of S. cellulosum So ce56, and of these three are found in the large tRNA gene cluster mentioned above. Four of the new tRNA genes harbor the advantageous anticodon UGC (CMC5_055140, CMC5_055130, CMC5_010950, and CMC5_054770) with enhanced wobbling, whereas one harbors the anticodon GGC (CMC5_055120), which decodes the codon GCC, whose wobble base is not so well decoded by tRNAs with the modified UGC anticodon. Moreover, the four new tRNAs with the UGC anticodon most likely arose by gene duplication of one of the existing conserved tRNA genes, as indicated by their high similarity (CMC5_010950 and CMC5_054770 are nearly identical to the conserved UGC anticodon tRNA gene CMC5_060730). One additional tRNA with a similar potential for more efficient decoding and reduction of codon bias was also found for two further synonymous codon sets, the proline-specific UGG anticodon (CMC5_055080), which is also present in the large tRNA gene cluster, and the threonine-specific UGU anticodon (CMC5_056460). Moreover, C. crocatus Cm c5 has four additional nonorthologous aminoacyl-tRNA synthetase genes compared with the genome of S. cellulosum So ce56 (CMC5_058260 prolyl-tRNA synthetase, CMC5_049140 arginyl-tRNA synthetase, CMC5_038260 threonyl-tRNA synthetase, and CMC5_018350 lysine-tRNA ligase). An enlarged set of tRNAs could empower C. crocatus Cm c5 to express a wider set of originally foreign biosynthetic gene clusters.

The importance of specific tRNA genes for expression of secondary metabolite clusters is also demonstrated by the bldA gene of streptomycetes coding for the tRNA of the extremely avoided leucine UUA codon (30). bldA is specifically expressed under constrained growth conditions and has evolved to control streptomycete secondary metabolite gene clusters, which possess TTA codons in the CDSs of their regulatory transcription factors and in some CDSs of the gene clusters. Interestingly, the TTA codon is not present in any of the 351 CDSs of the presumably highly expressed Hxp2 CDSs of C. crocatus Cm c5 and occurs only 330 times in all other CDSs. As in distantly related streptomycetes, TTA codon localization within coding sequences significantly differs from that of five other, synonymous leucine codons. The latter are positioned evenly and have very high correlation coefficients (R of >0.999) to theoretical codon distribution (see Fig. S2 in the supplemental material), while the codon TTA is more often used in the beginning of coding sequences (R of 0.915). It remains to be investigated if the gene coding for a rare leucine tRNA (CMC5_026400) has a specific function in Cm c5 or if lack of the TTA codon in highly expressed sets of genes and uneven intragenic distribution in other coding sequences merely reflect a general rare codon usage tendency of this organism.

In contrast to the enlarged set of tRNA genes, C. crocatus Cm c5 has one less ribosomal rRNA gene cluster than S. cellulosum So ce56. Half of the ribosomal protein genes, mainly located at two clusters in the genome (CMC5_007430 to CMC5_007650 and CMC5_075030 to CMC5_075050), have unusually low CAI values compared to the respective orthologous genes in S. cellulosum So ce56 and M. xanthus DK 1622, suggesting also substantially fewer translation events for these genes. The average CAI of these genes was so low that we omitted them tentatively from the Hxp2 list of highly expressed genes. The average CAI, calculated with the codon usage of the Hxp2 CDS set, for these 23 genes from both clusters is 0.430, whereas that for the homologous set of genes in S. cellulosum So ce56 is 0.654, and that for M. xanthus DK 1622 is 0.676.

Sensory network and impaired development cycle.

One of the major differences of myxobacterial regulatory systems from those of other bacteria is the abundance of eukaryotic-like serine/threonine protein kinases (ELKs), which after this finding were reconsidered as also relevant for prokaryotes (31). Myxobacterial ELKs often comprise a unique and complex domain organization, leading to the presumption that they may be involved in cell signaling pathways. We estimate the number of ELKs in Cm c5 to be 250 (see Table S2 in the supplemental material), which is half the amount of all protein kinases encoded by the human genome (32). Encoded protein kinases, apart from ELK conserved catalytic domains, contain ATPase and ligand-binding and multiple types of repeat domains (TPR, WD40, and Ank), which are thought to be important in both protein-protein and protein-ligand interactions (33). The presence of CheY-binding, cyclase, and transmembrane domains is also consistent with the explanation that the primary function of ELK in myxobacteria is in response to nutrient and developmental signals (34). Apart from ELK-like protein kinases, the predicted proteome contains 97 histidine kinase ATP-binding domains and 88 histidine kinase phosphate acceptor domains. Other elements of transcriptional regulation are abundantly encoded, too, including an estimated 3 repressors of the MarR family, 28 LysR-family and 2 GntR-family regulators, and 25 genes of the TetR class of transcriptional regulators.

Extensive sensory and regulatory networks are a prerequisite to myxobacterial lifestyle, which includes adventurous (A) and social (S) motilities. For the latter system to function, dozens of genes are required, most of which could be tracked in the Cm c5 genome. Three copies of the pilin gene, for example, are found in Cm c5 (CMC5_052100 to CMC5_052120); other genes responsible for motor function of the pili were also found, as well as those responsible for regulation of the extension/retraction of the pilus assembly. Unlike the genes of other myxobacteria (35), these genes are not strictly clustered in Cm c5 (see Table S3 in the supplemental material). A-motility, on the other hand, relies on a large set of myxobacterium-specific genes and extensive cell-to-cell signaling. As in S. cellulosum (6), previous knowledge on chemosensory and developmental processes in the model strain M. xanthus cannot be readily applied to Cm c5 and its genome since key genes required for A-motility could not be identified. The presence of normal swarm expansion and aggregation during growth on solid and in liquid media, respectively (Fig. 7; see also Fig. S3 in the supplemental material), suggests, however, that both S- and A-motility systems of Cm c5 are functional even if genes responsible for A-motility diverge beyond recognition from those of the model species M. xanthus.

FIG 7.

FIG 7

Growth of C. crocatus Cm c5 in liquid Pol03 medium and on solid VY/2 medium. (A) Shake flask culture of Cm c5 fr− at 14 days after inoculation. (B) Clumps of Cm c5 fr− of various sizes. (C) A clump of Cm c5 fr−. (D) Swarming of Cm c5 fr− on agar plate. (E) Side view of fruiting bodies of Cm c5 fr+. Scale bar, 1 mm.

Myxobacteria and the genus Chondromyces, in particular, are remarkable for their ability to form multicellular structures under stress conditions, the so-called fruiting bodies; components of both motility systems are required in this process. However, during long-term cultivation, our laboratory culture of Cm c5 fr− apparently lost this ability and instead evolved to become a more stable producer of many secondary metabolites. After repeated cultivation trials on Pol03 (Probion Me 069 [Hoechst AG], 0.3%; soluble starch, 0.3%; CaCl2·2H2O, 0.05%; MgSO4·7H2O, 0.2%; HEPES, 1.19%; pH 7.2 [by addition of KOH]) and VY/2 (73) solid media in order to trigger aggregation and differentiation, we did not observe any signs of Cm c5 fr− forming fruiting bodies.

Comparative genome analysis of several myxobacterial species have recently suggested a shortage of development-specific genes as a possible reason for the nonfruiting phenotype (36). To determine possible reasons for the failure of Cm c5 fr− to produce fruiting bodies, we decided to sequence and analyze another Cm c5 strain (DSM 14714) obtained directly from the DSMZ-German Collection of Microorganisms and Cell Cultures (Braunschweig, Germany), here referred to as Cm c5 fr+. This strain was first confirmed to exhibit a development cycle that includes aggregation into fruiting bodies on VY/2 solid medium (Fig. 7E). Three genetic differences between the strains were detected (Fig. 8): a mobile element transposition in the vicinity of CMC5_026400, a 30-bp insertion into CMC5_041190, and, finally, a single nucleotide polymorphism (SNP) in CMC5_051880. The first genetic difference is a missing/additional copy of the sequence, which resembles bacterial mobile elements and contains two putative coding sequences orfA and orfB. In the genome of Cm c5 fr−, this mobile element was found in three copies, while in Cm c5 fr+, an additional fourth copy is integrated between genes CMC5_026400 and CMC5_026410. Integration occurred several nucleotides downstream of the CMC5_026400 gene, which functions as tRNALeu (UAA). Thus, integration of the mobile element is likely to have an effect on tRNA processing around the 3′ CCA motif, which in turn might have significant influence on the global gene expression profile. The second change is an insertion of 30 bp in the CMC5_041190 gene sequence coding for an NrdR family transcriptional regulator in Cm c5 fr−. This insertion does not shift the reading frame of nrdR, and, as such, the gene product in Cm c5 fr− is elongated by 10 amino acids in comparison to the sequence in Cm c5 fr+. Repressors of the NrdR family regulate the expression of essential ribonucleotide reductase genes and are thus present in most bacterial species. Highly conserved nrdR genes share a structure of one zinc finger domain plus one nucleotide-binding domain. The insertion adds 10 amino acids to the nucleotide-binding domain, which is required for allosteric control (see Fig. S4 in the supplemental material). If a deregulation of deoxynucleoside triphosphate (dNTP) synthesis indeed occurs in the nonfruiting Cm c5 fr− strain, then it may have a significant effect on cell metabolism. Mutation in nrdR might thus explain the cause of the impaired growth cycle of the Cm c5 fr− strain. A third genetic variation represents an SNP in the coding sequence of the biopolymer transporter ExbD (CMC5_051880). A homolog of this membrane-bound protein is required for gliding motility in M. xanthus (37). The SNP differentiates the respective amino acid residue 43 either into leucine in Cm c5 fr− or proline in Cm c5 fr+. An alignment of known ExbD homologs from myxobacteria shows the proline residue in that position to be inconsistent and found only in Cm c5 fr+, while the leucine residue in the nonfruiting strain seems to be the common variant (see Fig. S5 in the supplemental material). Therefore, the third mutation is thought to have occurred in Cm c5 fr+ and has likely no implications for the lack of fruiting body formation in Cm c5 fr−.

FIG 8.

FIG 8

Schematic representation of the three genomic features distinguishing C. crocatus Cm c5 fr− from C. crocatus Cm c5 fr+. Chromosomes are shown as linear for simplicity. Magnified areas around 3.5 Mbp, 5.5 Mbp, and 7 Mbp represent two genomic rearrangements and one SNP.

HGT.

Several outstanding features of Cm c5 in comparison to its closest sequenced relatives have prompted us to seek for evidence of a recent horizontal gene transfer (HGT) into the genome. Indeed, single genes and whole gene clusters were identified in Cm c5 that are likely to have been gained through HGT from distant bacterial taxonomic groups. This includes a complete aerobic benzoate catabolic pathway consisting of seven genes, probably recently acquired as a whole 9-kb stretch from xenobiotic-degrading Betaproteobacteria (38) (CMC5_025720 to CMC5_025780). Similarly, a malonate decarboxylase enzyme complex (CMC5_081220 to CMC5_081280) which catalyzes the conversion of malonate into acetate as well as its coenzyme A (CoA)-activated forms, may provide an alternative pathway for the synthesis of these building blocks for the secondary metabolism of Cm c5. Also, an operon of six genes encoding the monovalent ion antiporter MrpA-MrpG (CMC5_018120 to CMC5_018170) highly similar to antiporters of Alphaproteobacteria, along with a uracil-DNA glycosylase repair protein (CMC5_026110) likely from a similar bacterial source, was found. The proposed horizontal transfer events are further supported by the fact that these locus combinations are not present in any of the other myxobacterial genomes sequenced to date and, where applicable, by gene synteny.

While repeated HGTs between bacteria coexisting in soil were to be expected, the Cm c5 genome appears to contain few genes presumably derived from nonbacterial sources. In addition to several bacterial chitinases and chitinase-like proteins (CMC5_022560, CMC5_022660, CMC5_025630, CMC5_025640, and CMC5_067020), the product of another Cm c5 gene (CMC5_079670) has full-length identity of >50% to glycoside hydrolase 19 (GH19) family class 1 and 2 chitinases of higher plants. Another, even more intriguing, example of foreign gene capture may be CMC5_013480, which codes for a bifunctional 6-phosphofructo-2-kinase/fructose-2,6-bisphosphate-2-phosphatase. Known as one of the key regulators of primary carbohydrate metabolism (39), this enzyme is currently believed to be found predominantly in eukaryotic organisms but also in terminal clades of Deltaproteobacteria, Desulfovibrio (40), and, as shown now, in Cm c5, implying recent horizontal gene transfer event(s). The possible role of this strictly regulatory eukaryotic enzyme in these prokaryotes remains obscure. The HGT therefore undoubtedly contributes to the genetic makeup of C. crocatus Cm c5, possibly including some of its secondary metabolite biosynthetic gene clusters. A list of HGT candidate genes, the majority of which link Cm c5 to phylogenetically distant prokaryotes, is shown in Table S4 in the supplemental material.

Biosynthesis of natural products.

Natural compounds derived from myxobacteria exhibit unusual and diverse activities (41). The number and activity spectra of small molecules produced by C. crocatus Cm c5 underline the valuable biosynthetic capacity of these bacterial genomes once again. To estimate the biosynthetic potential, the genome sequence of C. crocatus Cm c5 was analyzed by antiSMASH (20), which identified 35 putative biosynthetic gene clusters (see Table S5 in the supplemental material). Of these 35 clusters, several are known to yield natural products (Fig. 9): ajudazols A and B (42) and crocacins A and B (43), both antifungal inhibitors of the mitochondrial respiratory chain (44, 45); chondramides A to D (46), which block eukaryotic cell division by interacting with the actin system and are active against fungi (47), algae (48), and several tumor cell lines (49); chondrochlorens A and B (50), with weak antibacterial activity (51); thuggacins cmc-A and cmc-C (52), late-step respiratory chain inhibitors of Mycobacterium spp. and related Gram-positive bacteria (53); and the potent protease inhibitors of the crocapeptin family (54). The biosynthesis of these and many other natural products is directed by gene clusters encoding large, multienzyme complexes of two principal classes, polyketide synthases (PKSs) and nonribosomal peptide synthetases (NRPSs). Furthermore, owing to their similar and compatible biosynthetic logic (55), PKS and NRPS systems can interchange substrates in both directions (NRPS ↔ PKS), yielding hybrid assembly lines and therefore even more natural product variability. Of the known compound families synthesized by Cm c5, most are in fact assembled on hybrid systems, except for crocapeptins, which originate from a pure NRPS enzyme complex.

FIG 9.

FIG 9

Natural compound families isolated from cultures of C. crocatus Cm c5: ajudazols (1), crocacins (2), crocapeptins (3), chondrochlorens (4), thuggacins (5), and chondramides (6). Unusual features for bacterial secondary metabolism and newly described reactions or enzymes are highlighted here and referred to in the text. Biosynthetic gene clusters are shown on the schematic representation of the chromosome as gray rectangles. The 13 uncorrelated gene clusters of PKS/NRPS type are shown with question marks. FAD, flavin adenine dinucleotide.

The genome of Cm c5, in addition to six known biosynthetic pathways, encodes pathways for at least a dozen other compounds. Knowledge of the biosynthetic gene cluster sequences of the complete genome allows for more accurate characterization of the secondary metabolite profile of an organism by genome mining (56). An uncommon biosynthetic profile of a genome increases chances to encounter compounds that have not bee previously described and that therefore may represent novel activities (57). This is also the case with strain Cm c5, which is phylogenetically highly divergent from known myxobacteria, including the closest relative S. cellulosum So ce56. None of the identified biosynthetic clusters from Cm c5 seem to correspond to those known from So ce56. However, the reconstruction of genomic loci involved in secondary metabolism is inherently difficult because of their repetitive structures (58). This fact, along with the exceptional genome size, also adds to difficulties of complete genome reconstruction of natural product-rich myxobacteria. The availability of high-quality genomic sequences is therefore still one of the barriers for the widespread application of genome mining to metabolite-producing strains of myxobacteria.

Apart from the set of known natural compounds and their underlying biosynthetic genes, 29 other gene loci identified are putatively involved in natural product biosynthesis, including two NRPSs, five type I PKSs, and six combined PKS(I)/NRPS systems. The remaining 17 non-PKS(I)/NRPS clusters comprise five terpene, two bacteriocin, one lantipeptide, two lantipeptide-bacteriocin, one type III PKS, one siderophore, one phenazine, and four clusters of other types. However, great care must be taken before relying on these purely bioinformatic predictions. The 29 unassigned clusters (see Table S5 in the supplemental material) displayed no significant homology to a subset of the NCBI nucleotide database containing gene cluster sequences, emphasizing the likelihood for these gene clusters to encode the formation of novel secondary metabolites and the need to continue research on these novel biosynthetic pathways. Noteworthy, the only siderophore cluster in Cm c5 containing four genes, CMC5_023400 to CMC5_023430, does not correspond to the usual and highly conserved myxochelins (59) among myxobacteria, and thus iron uptake is likely mediated via an alternate chelator.

The biosynthetic potential of NRPS/PKS systems in bacterial genomes can also be estimated by the number and diversity of several small marker proteins, such as MbtH homologs (60), or the number of 4′-phosphopantetheinyl transferases (61). For a total of 18 biosynthetic gene clusters embodying NRPS and type I PKS domains, only one MbtH homolog could be identified (CMC5_078140), and two genes encoding 4′-phosphopantetheinyl transferases (CMC5_018000 and CMC5_023730) are found in the 11.4-Mb chromosome of C. crocatus. These facts alone would have placed the strain in the “not-so-gifted” category (60) of natural producer strains, which hardly seems to be the case. Obviously, otherwise successful approaches cannot be readily applied for the analysis of myxobacterial genomes.

DISCUSSION

Many genomes, even those of uncultured bacteria have become accessible in recent years. One group largely missing in the current inventory are the myxobacteria, ubiquitous but slowly growing and motile microorganisms that often act collectively and are valuable producers of bioactive natural compounds with diverse bioactivities. The relatively slow pace of studying their genomes can be attributed to the complex, highly repetitive genome structures, as well as to isolation and cultivation challenges. This complete genome sequence of the type strain C. crocatus Cm c5 allows better insight into the genome structure, large coding capacity, and plentiful secondary metabolism of the genus Chondromyces. A large portion of the genome consisting of hundreds of encoded proteins is devoted to regulatory functions, possibly even approaching practical limits (62).

The specific bacterial lifestyle has direct implications on codon usage. Since faster growth enhances the selection for more rapidly translated codons, they are often more in use. It is therefore reasonable to suggest that the different degrees of codon bias, which we have observed here, reflects the different life styles of the respective organisms: rapid growth of E. coli with strongly biased codon usage versus slower growth in the predatory myxobacterium M. xanthus DK 1622 and a further decrease of codon bias in the even more slowly growing S. cellulosum So ce56 and C. crocatus Cm c5, which are more specialized to utilize complex carbohydrates. To compensate for unbalanced expression of highly translated CDSs, which would be caused by more tRNA genes, one ribosomal rRNA gene cluster may have been lost, and the expression of many ribosomal protein genes was adjusted by reduction of the adaptation of their codon usage. The combined effects have also reduced the general codon bias of the whole genome and allowed C. crocatus Cm c5 to harbor and express more gene clusters of presumed foreign origin than its competitors.

Cell motility is another important part of the myxobacterial lifestyle and is required to form myxobacterial fruiting bodies in M. xanthus. It was because of these complex, sporangium-like structures that the genus Chondromyces was originally considered a fungus until it was recognized as a bacterium (63). The genome comparison of the nonfruiting to the fruiting strain revealed mutations in three loci, including the vicinity of the tRNALeu (UAA), in an NrdR regulatory protein and in an ExbD membrane protein. It is well known that tRNA genes are among the favored loci for mobile elements, as well as phage and plasmid integration in bacteria (64). A similar scenario, where a transposon had inserted near a tRNA gene, was observed in the myxobacterium Stigmatella aurantiaca DW4/3-1 and resulted in a mutant strain unable to form fruiting bodies (65). However, in the case reported here, the strain with the affected tRNALeu (UAA) gene is capable of fruiting (Cm c5 fr+), not vice versa. The second mutation discovered in the allosteric part of the NrdR regulator could also have a significant effect on DNA synthesis. The third genetic modification affects one amino acid residue in the ExbD membrane protein but is not thought to cause the deficient phenotype of the Cm c5 fr− strain. Obviously, further work is required to establish the reason for the nonfruiting phenotype of Cm c5 fr−.

Small natural bioactive molecules derived from bacteria constitute one of the pillars of drug discovery in pharmaceutical sciences, providing remarkable chemical diversity and application range (58). Over the years, bacteria of the genus Chondromyces have proven to be valuable resources for biosynthetic diversity of natural products and the concomitant discovery of unique enzyme functions. Several uncommon features of natural product biosynthesis and biosynthetic enzymes were identified (66, 67, 68, 69), and two previously unknown functions were attributed to the multimodular megasynthases of Cm c5 (43, 70). Intriguing biosynthetic capabilities of Cm c5 are further supported by the structural similarity of chlorinated terrestrial chondramides derived from C. crocatus Cm c5 and brominated marine jasplakinolides (see Fig. S6 in the supplemental material) isolated from sponge Jaspis sp. (71). This similarity suggests a shared underlying structure of biosynthetic proteins and/or gene clusters. One possible explanation for this finding might be the presence of highly similar biosynthetic pathways in yet uncharacterized microorganisms inhabiting sponges. Structural similarities between crocapeptins isolated from Cm c5 and cyanopeptolins isolated from cyanobacteria (72) also suggest horizontal transfer of ancestral biosynthetic gene clusters.

The secondary metabolite profile of Cm c5 is likely to be extended by further natural products and possibly more connections to the marine environment. Therefore, the genome sequence of this already valuable natural producer strain will allow a better understanding of its biosynthetic potential. Indeed, the majority of the unassigned biosynthetic pathways are encoded in gene clusters without any significant sequence similarity to other bacterial genomes, and these are therefore the most promising candidates for further studies of the strain's rich secondary metabolism. To achieve the goal of unraveling the structures of these currently unknown metabolites, studies into the physiology and regulation of Cm c5 will have to be connected with natural product research in the future.

Supplementary Material

Supplemental material

ACKNOWLEDGMENTS

We thank Silke Wenzel, Cathrin Spröer, and the GMAK group at the Helmholtz Centre for Infection Research for support during genome sequencing and valuable discussions. We thank Ronald Garcia for providing microscopic images. We thank Gregor Zipf and Hubert Bernauer from ATG:biosynthetics GmbH for contributions to the analysis. We thank Sara Andes, Simone Severitt, and Nicole Mrotzek for technical assistance.

We declare that we have no conflicts of interest.

Footnotes

Supplemental material for this article may be found at http://dx.doi.org/10.1128/AEM.03011-15.

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