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Phosphonates, molecules containing direct C-P bonds, comprise a structurally diverse class of natural products with interesting and useful biological properties. Although their synthesis in protozoa was discovered more than fifty years ago, the extent and diversity of phosphonate production in nature remains poorly characterized. The rearrangement of phosphoenolpyruvate (PEP) to phosphonopyruvate, catalyzed by the enzyme PEP mutase (PepM), is shared by the vast majority of known phosphonate biosynthetic pathways. Thus, the pepM gene can be used as a molecular marker to examine the occurrence and abundance of phosphonate-producing organisms. Based on the presence of this gene, phosphonate biosynthesis is common in microbes, with ca. 5% of sequenced genomes and 7% of genome equivalents in metagenomic datasets carrying pepM. Similarly, we detected the pepM gene in ca. 5% of random actinomycete isolates. The pepM-containing gene neighborhoods from twenty-five of these isolates were cloned, sequenced and compared with those found in sequenced genomes. PEP mutase sequence conservation is strongly correlated with conservation of other nearby genes, suggesting that the diversity of phosphonate biosynthetic pathways can be predicted by examining PEP mutase diversity. We used this approach to estimate the range of phosphonate biosynthetic pathways in nature, revealing dozens of discrete groups in pepM amplicons from local soils, while hundreds were observed in metagenomic datasets. Collectively, our analyses show that phosphonate biosynthesis is both common and diverse in nature, suggesting that the role of these molecules in a phosphorus-limited biosphere may be more important than commonly recognized.

Although natural products have been a particularly rich source of human medicines, activity-based screening results in a very high rate of rediscovery of known molecules. Based on the large number of natural product biosynthetic genes in microbial genomes, many have proposed “genome mining” as an alternative approach for discovery efforts; however, this idea has yet to be performed experimentally on a large scale. Here, we demonstrate the feasibility of large-scale, high-throughput genome mining by screening a collection of over 10,000 actinomycetes for the genetic potential to make phosphonic acids, a class of natural products with diverse and useful bioactivities. Genome sequencing identified a diverse collection of phosphonate biosynthetic gene clusters within 278 strains. These clusters were classified into 64 distinct groups, of which 55 are likely to direct the synthesis of unknown compounds. Characterization of strains within five of these groups resulted in the discovery of a new archetypical pathway for phosphonate biosynthesis, the first (to our knowledge) dedicated pathway for H-phosphinates, and 11 previously undescribed phosphonic acid natural products. Among these compounds are argolaphos, a broad-spectrum antibacterial phosphonopeptide composed of aminomethylphosphonate in peptide linkage to a rare amino acid N5-hydroxyarginine; valinophos, an N-acetyl L-Val ester of 2,3-dihydroxypropylphosphonate; and phosphonocystoximate, an unusual thiohydroximate-containing molecule representing a new chemotype of sulfur-containing phosphonate natural products. Analysis of the genome sequences from the remaining strains suggests that the majority of the phosphonate biosynthetic repertoire of Actinobacteria has been captured at the gene level. This dereplicated strain collection now provides a reservoir of numerous, as yet undiscovered, phosphonate natural products.

Background Ribosomally synthesized and post-translationally modified peptides (RiPPs) are a burgeoning class of natural products with diverse activity that share a similar origin and common features in their biosynthetic pathways. The precursor peptides of these natural products are ribosomally produced, upon which a combination of modification enzymes installs diverse functional groups. This genetically encoded peptide-based strategy allows for rapid diversification of these natural products by mutation in the precursor genes merged with unique combinations of modification enzymes. Thiazole/oxazole-modified microcins (TOMMs) are a class of RiPPs defined by the presence of heterocycles derived from cysteine, serine, and threonine residues in the precursor peptide. TOMMs encompass a number of different families, including but not limited to the linear azol(in)e-containing peptides (streptolysin S, microcin B17, and plantazolicin), cyanobactins, thiopeptides, and bottromycins. Although many TOMMs have been explored, the increased availability of genome sequences has illuminated several unexplored TOMM producers. Methods All YcaO domain-containing proteins (D protein) and the surrounding genomic regions were were obtained from the European Molecular Biology Laboratory (EMBL) and the European Bioinformatics Institute (EBI). MultiGeneBlast was used to group gene clusters contain a D protein. A number of techniques were used to identify TOMM biosynthetic gene clusters from the D protein containing gene clusters. Precursor peptides from these gene clusters were also identified. Both sequence similarity and phylogenetic analysis were used to classify the 20 diverse TOMM clusters identified. Results Given the remarkable structural and functional diversity displayed by known TOMMs, a comprehensive bioinformatic study to catalog and classify the entire RiPP class was undertaken. Here we report the bioinformatic characterization of nearly 1,500 TOMM gene clusters from genomes in the European Molecular Biology Laboratory (EMBL) and the European Bioinformatics Institute (EBI) sequence repository. Genome mining suggests a complex diversification of modification enzymes and precursor peptides to create more than 20 distinct families of TOMMs, nine of which have not heretofore been described. Many of the identified TOMM families have an abundance of diverse precursor peptide sequences as well as unfamiliar combinations of modification enzymes, signifying a potential wealth of novel natural products on known and unknown biosynthetic scaffolds. Phylogenetic analysis suggests a widespread distribution of TOMMs across multiple phyla; however, producers of similar TOMMs are generally found in the same phylum with few exceptions. Conclusions The comprehensive genome mining study described herein has uncovered a myriad of unique TOMM biosynthetic clusters and provides an atlas to guide future discovery efforts. These biosynthetic gene clusters are predicted to produce diverse final products, and the identification of additional combinations of modification enzymes could expand the potential of combinatorial natural product biosynthesis.

Background Actinomycetes are a diverse group of medically, industrially and ecologically important bacteria, studied as much for the diseases they cause as for the cures they hold. The genomes of actinomycetes revealed that these bacteria have a large number of natural product gene clusters, although many of these are difficult to tie to products in the laboratory. Large scale comparisons of these clusters are difficult to perform due to the presence of highly similar repeated domains in the most common biosynthetic machinery: polyketide synthases (PKSs) and nonribosomal peptide synthetases (NRPSs). Results We have used comparative genomics to provide an overview of the genomic features of a set of 102 closed genomes from this important group of bacteria with a focus on natural product biosynthetic genes. We have focused on well-represented genera and determine the occurrence of gene cluster families therein. Conservation of natural product gene clusters within Mycobacterium , Streptomyces and Frankia suggest crucial roles for natural products in the biology of each genus. The abundance of natural product classes is also found to vary greatly between genera, revealing underlying patterns that are not yet understood. Conclusions A large-scale analysis of natural product gene clusters presents a useful foundation for hypothesis formulation that is currently underutilized in the field. Such studies will be increasingly necessary to study the diversity and ecology of natural products as the number of genome sequences available continues to grow.

Our results reinforce the notion that each cultivar on each location recruits a unique microbial community and that these communities are modulated by the vegetative growth stage of the plant. Moreover, inoculation of a Bacillus amyloliquefaciens strain QST713-based product on potatoes also changed the abundance of specific taxonomic groups and the structure of local networks in those locations where the product caused an increase in the yield. Understanding the effectiveness and potential mechanism of action of agricultural biological products under different soil profiles and crops will allow more precise product recommendations based on local conditions and will ultimately result in increased crop yield. This study aimed to use bulk soil and rhizosphere microbial composition and structure to evaluate the potential effect of a Bacillus amyloliquefaciens inoculant (strain QST713) on potatoes and to explore its relationship with crop yield. We implemented next-generation sequencing (NGS) and bioinformatics approaches to assess the bacterial and fungal biodiversity in 185 soil samples, distributed over four different time points—from planting to harvest—from three different geographical locations in the United States. In addition to location and sampling time (which includes the difference between bulk soil and rhizosphere) as the main variables defining the microbiome composition, the microbial inoculant applied as a treatment also had a small but significant effect in fungal communities and a marginally significant effect in bacterial communities. However, treatment preserved the native communities without causing a detectable long-lasting effect on the alpha- and beta-diversity patterns after harvest. Using information about the application of the microbial inoculant and considering microbiome composition and structure data, we were able to train a Random Forest model to estimate if a bulk soil or rhizosphere sample came from a low- or high-yield block with relatively high accuracy (84.6%), concluding that the structure of fungal communities gives us more information as an estimator of potato yield than the structure of bacterial communities. IMPORTANCE Our results reinforce the notion that each cultivar on each location recruits a unique microbial community and that these communities are modulated by the vegetative growth stage of the plant. Moreover, inoculation of a Bacillus amyloliquefaciens strain QST713-based product on potatoes also changed the abundance of specific taxonomic groups and the structure of local networks in those locations where the product caused an increase in the yield. The data obtained, from in-field assays, allowed training a predictive model to estimate the yield of a certain block, identifying microbiome variables—especially those related to microbial community structure—even with a higher predictive power than the geographical location of the block (that is, the principal determinant of microbial beta-diversity). The methods described here can be replicated to fit new models in any other crop and to evaluate the effect of any agricultural input in the composition and structure of the soil microbiome.

Actinobacteria encode a wealth of natural product biosynthetic gene clusters, whose systematic study is complicated by numerous repetitive motifs. By combining several metrics, we developed a method for the global classification of these gene clusters into families (GCFs) and analyzed the biosynthetic capacity of Actinobacteria in 830 genome sequences, including 344 obtained for this project. The GCF network, comprising 11,422 gene clusters grouped into 4,122 GCFs, was validated in hundreds of strains by correlating confident mass spectrometric detection of known small molecules with the presence or absence of their established biosynthetic gene clusters. The method also linked previously unassigned GCFs to known natural products, an approach that will enable de novo, bioassay-free discovery of new natural products using large data sets. Extrapolation from the 830-genome data set reveals that Actinobacteria encode hundreds of thousands of future drug leads, and the strong correlation between phylogeny and GCFs frames a roadmap to efficiently access them.

The family Streptomycetaceae , notably species in the genus Streptomyces , have long been the subject of investigation due to their well-known ability to produce secondary metabolites. The emergence of drug resistant pathogens and the relative ease of producing genome sequences has renewed the importance of Streptomyces as producers of new natural products and resulted in revived efforts in isolating and describing strains from novel environments. A previous large study of the phylogeny in the Streptomycetaceae based on 16S rRNA gene sequences provided a useful framework for the relationships among species, but did not always have sufficient resolution to provide definitive identification. Multi-locus sequence analysis of 5 house-keeping genes has been shown to provide improved taxonomic resolution of Streptomyces species in a number of previous reports so a comprehensive study was undertaken to evaluate evolutionary relationships among species within the family Streptomycetaceae where type strains are available in the ARS Culture Collection or genome sequences are available in GenBank. The results of the analysis supported the distinctiveness of Kitasatospora and Streptacidiphilus as validly named genera since they cluster outside of the phylogenetic radiation of the genus Streptomyces . There is also support for the transfer of a number of Streptomyces species to the genus Kitasatospora as well for reducing at least 31 species clusters to a single taxon. The multi-locus sequence database resulting from the study is a useful tool for identification of new isolates and the phylogenetic analysis presented also provides a road map for planning future genome sequencing efforts in the Streptomycetaceae .

Background Streptomyces are widespread bacteria that contribute to the terrestrial carbon cycle and produce the majority of clinically useful antibiotics. While interspecific genomic diversity has been investigated among Streptomyces , information is lacking on intraspecific genomic diversity. Streptomyces pratensis has high rates of homologous recombination but the impact of such gene exchange on genome evolution and the evolution of natural product gene clusters remains uncharacterized. Results We report draft genome sequences of four S. pratensis strains and compare to the complete genome of Streptomyces flavogriseus IAF-45-CD (=ATCC 33331), a strain recently reclassified to S. pratensis . Despite disparate geographic origins, the genomes are highly similar with 85.9% of genes present in the core genome and conservation of all natural product gene clusters. Natural products include a novel combination of carbapenem and beta-lactamase inhibitor gene clusters. While high intraspecies recombination rates abolish the phylogenetic signal across the genome, intraspecies recombination is suppressed in two genomic regions. The first region is centered on an insertion/deletion polymorphism and the second on a hybrid NRPS-PKS gene. Finally, two gene families accounted for over 25% of the divergent genes in the core genome. The first includes homologs of bldB (required for spore development and antibiotic production) while the second includes homologs of an uncharacterized protein with a helix-turn-helix motif ( hpb ). Genes from these families co-occur with fifteen pairs spread across the genome. These genes have evidence for co-evolution of co-localized pairs, supporting previous assertions that these genes may function akin to a toxin-antitoxin system. Conclusions S. pratensis genomes are highly similar with exceptional levels of recombination which erase phylogenetic signal among strains of the species. This species has a large core genome and variable terminal regions that are smaller than those found in interspecies comparisons. There is no geographic differentiation between these strains, but there is evidence for local linkage disequilibrium affecting two genomic regions. We have also shown further observational evidence that the DUF397-HTH ( bldB and hpb ) are a novel toxin-antitoxin pair.

We show that Streptomyces biogeography in soils across North America is influenced by the regional diversification of microorganisms due to dispersal limitation and genetic drift. Streptomyces spp. form desiccation-resistant spores, which can be dispersed on the wind, allowing for a strong test of whether dispersal limitation governs patterns of terrestrial microbial diversity. We employed an approach that has high sensitivity for determining the effects of genetic drift. Specifically, we examined the genetic diversity and phylogeography of physiologically similar Streptomyces strains isolated from geographically distributed yet ecologically similar habitats. We found that Streptomyces beta diversity scales with geographic distance and both beta diversity and phylogenetic diversity manifest in a latitudinal diversity gradient. This pattern of Streptomyces biogeography resembles patterns seen for diverse species of plants and animals, and we therefore evaluated these data in the context of ecological and evolutionary hypotheses proposed to explain latitudinal diversity gradients. The data are consistent with the hypothesis that niche conservatism limits dispersal, and historical patterns of glaciation have limited the time for speciation in higher-latitude sites. Most notably, higher-latitude sites have lower phylogenetic diversity, higher phylogenetic clustering, and evidence of range expansion from lower latitudes. In addition, patterns of beta diversity partition with respect to the glacial history of sites. Hence, the data support the hypothesis that extant patterns of Streptomyces biogeography have been driven by historical patterns of glaciation and are the result of demographic range expansion, dispersal limitation, and regional diversification due to drift. IMPORTANCE Biogeographic patterns provide insight into the evolutionary and ecological processes that govern biodiversity. However, the evolutionary and ecological processes that govern terrestrial microbial diversity remain poorly characterized. We evaluated the biogeography of the genus Streptomyces to show that the diversity of terrestrial bacteria is governed by many of the same processes that govern the diversity of many plant and animal species. While bacteria of the genus Streptomyces are a preeminent source of antibiotics, their evolutionary history, biogeography, and biodiversity remain poorly characterized. The observations we describe provide insight into the drivers of Streptomyces biodiversity and the processes that underlie microbial diversification in terrestrial habitats. Biogeographic patterns provide insight into the evolutionary and ecological processes that govern biodiversity. However, the evolutionary and ecological processes that govern terrestrial microbial diversity remain poorly characterized. We evaluated the biogeography of the genus Streptomyces to show that the diversity of terrestrial bacteria is governed by many of the same processes that govern the diversity of many plant and animal species. While bacteria of the genus Streptomyces are a preeminent source of antibiotics, their evolutionary history, biogeography, and biodiversity remain poorly characterized. The observations we describe provide insight into the drivers of Streptomyces biodiversity and the processes that underlie microbial diversification in terrestrial habitats.

Horizontal gene transfer (HGT) is widespread in the microbial world, but its impact on the origin and persistence of microbial species remains poorly defined. HGT can result in either acquisition of new genetic material or homologous replacement of existing genes. The evolutionary significance of homologous recombination in a population can be quantified by examining the relative rates at which polymorphisms are introduced from recombination ( ρ ) and mutation ( θ w ). We used multilocus sequence analysis (MLSA) to quantify both intraspecies and interspecies homologous recombination among streptomycetes, multicellular Gram-positive bacteria ubiquitous in soil, which are an important source of antibiotics and bioactive compounds. Intraspecies recombination was examined using strains of Streptomyces flavogriseus isolated from soils at five locations spanning 1000 km. The strains had >99.8% nucleotide identity across the loci examined. We found remarkable levels of gene exchange within S. flavogriseus ( ρ / θ w =27.9), and found that the population was in linkage equilibrium (standardized index of association=0.0018), providing evidence for a freely recombining sexual population structure. We also examined interspecies homologous recombination among different Streptomyces species in an MLSA data set and found that 40% of the species had housekeeping genes acquired through HGT. The recombination rate between these named species ( ρ / θ w =0.21) exceeds that observed within many species of bacteria. Despite widespread gene exchange in the genus, the intraspecies recombination rate exceeded the interspecies rate by two orders of magnitude suggesting that patterns of gene exchange and recombination may shape the evolution of streptomycetes.