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Shikov AE, Savina IA, Nizhnikov AA, Antonets KS. Recombination in Bacterial Genomes: Evolutionary Trends. Toxins (Basel) 2023; 15:568. [PMID: 37755994 PMCID: PMC10534446 DOI: 10.3390/toxins15090568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 09/02/2023] [Accepted: 09/07/2023] [Indexed: 09/28/2023] Open
Abstract
Bacterial organisms have undergone homologous recombination (HR) and horizontal gene transfer (HGT) multiple times during their history. These processes could increase fitness to new environments, cause specialization, the emergence of new species, and changes in virulence. Therefore, comprehensive knowledge of the impact and intensity of genetic exchanges and the location of recombination hotspots on the genome is necessary for understanding the dynamics of adaptation to various conditions. To this end, we aimed to characterize the functional impact and genomic context of computationally detected recombination events by analyzing genomic studies of any bacterial species, for which events have been detected in the last 30 years. Genomic loci where the transfer of DNA was detected pertained to mobile genetic elements (MGEs) housing genes that code for proteins engaged in distinct cellular processes, such as secretion systems, toxins, infection effectors, biosynthesis enzymes, etc. We found that all inferences fall into three main lifestyle categories, namely, ecological diversification, pathogenesis, and symbiosis. The latter primarily exhibits ancestral events, thus, possibly indicating that adaptation appears to be governed by similar recombination-dependent mechanisms.
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Affiliation(s)
- Anton E. Shikov
- Laboratory for Proteomics of Supra-Organismal Systems, All-Russia Research Institute for Agricultural Microbiology (ARRIAM), 196608 St. Petersburg, Russia; (A.E.S.); (I.A.S.); (A.A.N.)
- Faculty of Biology, St. Petersburg State University (SPbSU), 199034 St. Petersburg, Russia
| | - Iuliia A. Savina
- Laboratory for Proteomics of Supra-Organismal Systems, All-Russia Research Institute for Agricultural Microbiology (ARRIAM), 196608 St. Petersburg, Russia; (A.E.S.); (I.A.S.); (A.A.N.)
| | - Anton A. Nizhnikov
- Laboratory for Proteomics of Supra-Organismal Systems, All-Russia Research Institute for Agricultural Microbiology (ARRIAM), 196608 St. Petersburg, Russia; (A.E.S.); (I.A.S.); (A.A.N.)
- Faculty of Biology, St. Petersburg State University (SPbSU), 199034 St. Petersburg, Russia
| | - Kirill S. Antonets
- Laboratory for Proteomics of Supra-Organismal Systems, All-Russia Research Institute for Agricultural Microbiology (ARRIAM), 196608 St. Petersburg, Russia; (A.E.S.); (I.A.S.); (A.A.N.)
- Faculty of Biology, St. Petersburg State University (SPbSU), 199034 St. Petersburg, Russia
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2
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Ren L, Zhang X, Li J, Yan X, Gao X, Cui J, Tang C, Liu S. Diverse transcriptional patterns of homoeologous recombinant transcripts in triploid fish (Cyprinidae). SCIENCE CHINA. LIFE SCIENCES 2021; 64:1491-1501. [PMID: 33420922 DOI: 10.1007/s11427-020-1749-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 08/13/2020] [Indexed: 11/29/2022]
Abstract
Homoeologous recombination (HR), the exchange of homoeologous chromosomes, contributes to subgenome adaptation to diverse environments by producing various phenotypes. However, the potential relevance of HR and innate immunity is rarely described in triploid cyprinid fish species. In our study, two allotriploid genotypes (R2C and RC2), whose innate immunity was stronger than their inbred parents (Carassius auratus red var. and Cyprinus carpio L.), were obtained from backcrossing between male allotetraploids of C. auratus red var.×C. carpio L. and females of their two inbred parents, respectively. The work detected 140 HRs shared between the two triploids at the genomic level. Further, transcriptions of 54 homoeologous recombinant genes (HRGs) in R2C and 65 HRGs in RC2 were detected using both Illumina and PacBio data. Finally, by comparing expressed recombinant reads to total expressed reads in each of the genes, a range of 0.1%-10% was observed in most of the 99-193 HRGs, of which six recombinant genes were classified as "response to stimulus". These results not only provide a novel way to predict HRs in allopolyploids based on cross prediction at both genomic and transcriptional levels, but also insight into the potential relationship between HRs related to innate immunity and adaptation of the triploids and allotetraploids.
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Affiliation(s)
- Li Ren
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Normal University, Changsha, 410081, China.,College of Life Sciences, Hunan Normal University, Changsha, 410081, China
| | - Xueyin Zhang
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Normal University, Changsha, 410081, China.,College of Life Sciences, Hunan Normal University, Changsha, 410081, China
| | - Jiaming Li
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Normal University, Changsha, 410081, China.,College of Life Sciences, Hunan Normal University, Changsha, 410081, China
| | - Xiaojing Yan
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Normal University, Changsha, 410081, China.,College of Life Sciences, Hunan Normal University, Changsha, 410081, China
| | - Xin Gao
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Normal University, Changsha, 410081, China.,College of Life Sciences, Hunan Normal University, Changsha, 410081, China
| | - Jialin Cui
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Normal University, Changsha, 410081, China.,College of Life Sciences, Hunan Normal University, Changsha, 410081, China
| | - Chenchen Tang
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Normal University, Changsha, 410081, China.,College of Life Sciences, Hunan Normal University, Changsha, 410081, China
| | - Shaojun Liu
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Normal University, Changsha, 410081, China. .,College of Life Sciences, Hunan Normal University, Changsha, 410081, China.
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3
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Drufva EE, Hix EG, Bailey CB. Site directed mutagenesis as a precision tool to enable synthetic biology with engineered modular polyketide synthases. Synth Syst Biotechnol 2020; 5:62-80. [PMID: 32637664 PMCID: PMC7327777 DOI: 10.1016/j.synbio.2020.04.001] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 04/01/2020] [Accepted: 04/06/2020] [Indexed: 12/04/2022] Open
Abstract
Modular polyketide synthases (PKSs) are a multidomain megasynthase class of biosynthetic enzymes that have great promise for the development of new compounds, from new pharmaceuticals to high value commodity and specialty chemicals. Their colinear biosynthetic logic has been viewed as a promising platform for synthetic biology for decades. Due to this colinearity, domain swapping has long been used as a strategy to introduce molecular diversity. However, domain swapping often fails because it perturbs critical protein-protein interactions within the PKS. With our increased level of structural elucidation of PKSs, using judicious targeted mutations of individual residues is a more precise way to introduce molecular diversity with less potential for global disruption of the protein architecture. Here we review examples of targeted point mutagenesis to one or a few residues harbored within the PKS that alter domain specificity or selectivity, affect protein stability and interdomain communication, and promote more complex catalytic reactivity.
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Key Words
- ACP, acyl carrier protein
- AT, acyltransferase
- DEBS, 6-deoxyerthronolide B synthase
- DH, dehydratase
- EI, enoylisomerase
- ER, enoylreductase
- KR, ketoreductase
- KS, ketosynthase
- LM, loading module
- MT, methyltransferase
- Mod, module
- PKS, polyketide synthase
- PS, pyran synthase
- Polyketide synthase
- Protein engineering
- Rational design
- SNAC, N-acetyl cysteamine
- Saturation mutagenesis
- Site directed mutagenesis
- Synthetic biology
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Affiliation(s)
- Erin E. Drufva
- Department of Chemistry, University of Tennessee-Knoxville, Knoxville, TN, 37996, USA
| | - Elijah G. Hix
- Department of Chemistry, University of Tennessee-Knoxville, Knoxville, TN, 37996, USA
| | - Constance B. Bailey
- Department of Chemistry, University of Tennessee-Knoxville, Knoxville, TN, 37996, USA
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4
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Nivina A, Yuet KP, Hsu J, Khosla C. Evolution and Diversity of Assembly-Line Polyketide Synthases. Chem Rev 2019; 119:12524-12547. [PMID: 31838842 PMCID: PMC6935866 DOI: 10.1021/acs.chemrev.9b00525] [Citation(s) in RCA: 151] [Impact Index Per Article: 30.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2019] [Indexed: 12/11/2022]
Abstract
Assembly-line polyketide synthases (PKSs) are among the most complex protein machineries known in nature, responsible for the biosynthesis of numerous compounds used in the clinic. Their present-day diversity is the result of an evolutionary path that has involved the emergence of a multimodular architecture and further diversification of assembly-line PKSs. In this review, we provide an overview of previous studies that investigated PKS evolution and propose a model that challenges the currently prevailing view that gene duplication has played a major role in the emergence of multimodularity. We also analyze the ensemble of orphan PKS clusters sequenced so far to evaluate how large the entire diversity of assembly-line PKS clusters and their chemical products could be. Finally, we examine the existing techniques to access the natural PKS diversity in natural and heterologous hosts and describe approaches to further expand this diversity through engineering.
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Affiliation(s)
- Aleksandra Nivina
- Department
of Chemistry, Stanford ChEM-H, Department of Chemical Engineering Stanford
University, Stanford, California 94305, United States
| | - Kai P. Yuet
- Department
of Chemistry, Stanford ChEM-H, Department of Chemical Engineering Stanford
University, Stanford, California 94305, United States
| | - Jake Hsu
- Department
of Chemistry, Stanford ChEM-H, Department of Chemical Engineering Stanford
University, Stanford, California 94305, United States
| | - Chaitan Khosla
- Department
of Chemistry, Stanford ChEM-H, Department of Chemical Engineering Stanford
University, Stanford, California 94305, United States
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5
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Chemler JA, Tripathi A, Hansen DA, O'Neil-Johnson M, Williams RB, Starks C, Park SR, Sherman DH. Evolution of Efficient Modular Polyketide Synthases by Homologous Recombination. J Am Chem Soc 2015; 137:10603-9. [PMID: 26230368 DOI: 10.1021/jacs.5b04842] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The structural scaffolds of many complex natural products are produced by multifunctional type I polyketide synthase (PKS) enzymes that operate as biosynthetic assembly lines. The modular nature of these mega-enzymes presents an opportunity to construct custom biocatalysts built in a lego-like fashion by inserting, deleting, or exchanging native or foreign domains to produce targeted variants of natural polyketides. However, previously engineered PKS enzymes are often impaired resulting in limited production compared to native systems. Here, we show a versatile method for generating and identifying functional chimeric PKS enzymes for synthesizing custom macrolactones and macrolides. PKS genes from the pikromycin and erythromycin pathways were hybridized in Saccharomyces cerevisiae to generate hybrid libraries. We used a 96-well plate format for plasmid purification, transformations, sequencing, protein expression, in vitro reactions and analysis of metabolite formation. Active chimeric enzymes were identified with new functionality. Streptomyces venezuelae strains that expressed these PKS chimeras were capable of producing engineered macrolactones. Furthermore, a macrolactone generated from selected PKS chimeras was fully functionalized into a novel macrolide analogue. This method permits the engineering of PKS pathways as modular building blocks for the production of new antibiotic-like molecules.
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Affiliation(s)
| | | | | | - Mark O'Neil-Johnson
- Sequoia Sciences, Inc. , 1912 Innerbelt Business Center Drive, Saint Louis, Missouri 63114, United States
| | - Russell B Williams
- Sequoia Sciences, Inc. , 1912 Innerbelt Business Center Drive, Saint Louis, Missouri 63114, United States
| | - Courtney Starks
- Sequoia Sciences, Inc. , 1912 Innerbelt Business Center Drive, Saint Louis, Missouri 63114, United States
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6
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Edwards AL, Matsui T, Weiss TM, Khosla C. Architectures of whole-module and bimodular proteins from the 6-deoxyerythronolide B synthase. J Mol Biol 2014; 426:2229-45. [PMID: 24704088 PMCID: PMC4284093 DOI: 10.1016/j.jmb.2014.03.015] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2013] [Revised: 03/24/2014] [Accepted: 03/27/2014] [Indexed: 10/25/2022]
Abstract
The 6-deoxyerythronolide B synthase (DEBS) is a prototypical assembly line polyketide synthase produced by the actinomycete Saccharopolyspora erythraea that synthesizes the macrocyclic core of the antibiotic erythromycin 6-deoxyerythronolide B. The megasynthase is a 2-MDa trimeric complex composed of three unique homodimers assembled from the gene products DEBS1, DEBS2, and DEBS3, which are housed within the erythromycin biosynthetic gene cluster. Each homodimer contains two clusters of catalytically independent enzymatic domains, each referred to as a module, which catalyzes one round of polyketide chain extension and modification. Modules are named sequentially to indicate the order in which they are utilized during synthesis of 6-deoxyerythronolide B. We report small-angle X-ray scattering (SAXS) analyses of a whole module and a bimodule from DEBS, as well as a set of domains for which high-resolution structures are available. In all cases, the solution state was probed under previously established conditions ensuring that each protein is catalytically active. SAXS data are consistent with atomic-resolution structures of DEBS fragments. Therefore, we used the available high-resolution structures of DEBS domains to model the architectures of the larger protein assemblies using rigid-body refinement. Our data support a model in which the third module of DEBS forms a disc-shaped structure capable of caging the acyl carrier protein domain proximal to each active site. The molecular envelope of DEBS3 is a thin elongated ellipsoid, and the results of rigid-body modeling suggest that modules 5 and 6 stack collinearly along the 2-fold axis of symmetry.
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Affiliation(s)
- Andrea L Edwards
- Department of Chemistry, Stanford University, Stanford, CA 94305, USA.
| | - Tsutomu Matsui
- Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Stanford University, 14 2575 Sand Hill Road, MS69, Menlo Park, CA 94025, USA
| | - Thomas M Weiss
- Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Stanford University, 14 2575 Sand Hill Road, MS69, Menlo Park, CA 94025, USA
| | - Chaitan Khosla
- Department of Chemistry, Stanford University, Stanford, CA 94305, USA; Department of Chemical Engineering, Stanford University, Stanford, CA 94305, USA; Department of Biochemistry, Stanford University, Stanford, CA 94305, USA
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7
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Evolutionary concepts in natural products discovery: what actinomycetes have taught us. J Ind Microbiol Biotechnol 2013; 41:211-7. [PMID: 24061567 DOI: 10.1007/s10295-013-1337-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2013] [Accepted: 09/02/2013] [Indexed: 10/26/2022]
Abstract
Actinomycetes are a very important source of natural products for the pharmaceutical industry and other applications. Most of the strains belong to Streptomyces or related genera, partly because they are particularly amenable to growth in the laboratory and industrial fermenters. It is unlikely that chemical synthesis can fulfil the needs of the pharmaceutical industry for novel compounds so there is a continuing need to find novel natural products. An evolutionary perspective can help this process in several ways. Genome mining attempts to identify secondary metabolite biosynthetic clusters in DNA sequences, which are likely to produce interesting chemical entities. There are often technical problems in assembling the DNA sequences of large modular clusters in genome and metagenome projects, which can be overcome partially using information about the evolution of the domain sequences. Understanding the evolutionary mechanisms of modular clusters should allow simulation of evolutionary pathways in the laboratory to generate novel compounds.
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8
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Databases of the thiotemplate modular systems (CSDB) and their in silico recombinants (r-CSDB). J Ind Microbiol Biotechnol 2013; 40:653-9. [PMID: 23504028 DOI: 10.1007/s10295-013-1252-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2012] [Accepted: 02/22/2013] [Indexed: 01/31/2023]
Abstract
Modular biosynthetic clusters are responsible for the synthesis of many important pharmaceutical products. They include polyketide synthases (PKS clusters), non-ribosomal synthetases (NRPS clusters), and mixed clusters (containing both PKS and NRPS modules). The ClustScan database (CSDB) contains highly annotated descriptions of 170 clusters. The database has a hierarchical organization, which allows easy extraction of DNA and protein sequences of polypeptides, modules, and domains as well as an organization of the annotation so as to be able to predict the product chemistry to view it or export it in a standard SMILES format. The recombinant ClustScan database contains information about predicted recombinants between PKS clusters. The recombinants are generated by modeling homologous recombination and are associated with annotation and prediction of product chemistry automatically generated by the model. The database contains over 20,000 recombinants and is a resource for in silico approaches to detecting promising new compounds. Methods are available to construct the corresponding recombinants in the laboratory.
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9
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Zucko J, Long PF, Hranueli D, Cullum J. Horizontal gene transfer and gene conversion drive evolution of modular polyketide synthases. ACTA ACUST UNITED AC 2012; 39:1541-7. [DOI: 10.1007/s10295-012-1149-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2012] [Accepted: 05/08/2012] [Indexed: 10/28/2022]
Abstract
Abstract
Soil bacteria live in a very competitive environment and produce many secondary metabolites; there appears to be strong selective pressure for evolution of new compounds. Secondary metabolites are the most important source of chemical structures for the pharmaceutical industry and an understanding of the evolutionary process should help in finding novel chemical entities. Modular polyketide synthases are a particularly interesting case for evolutionary studies, because much of the chemical structure can be predicted from DNA sequence. Previous evolutionary studies have concentrated on individual modules or domains and were not able to study the evolution of orthologues. This study overcame this problem by considering complete clusters as “organisms”, so that orthologous modules and domains could be identified and used to characterise evolutionary pathways. Seventeen modular polyketide synthase clusters were identified that fell into six classes. Gene conversion within clusters was very common (affecting about 15 % of domains) and was detected by discordance in phylogenetic trees. An evolutionary model is proposed in which a single cross over between two different clusters (i.e. horizontal gene transfer) would generate a cluster of very different architecture with radically different chemical products; subsequent gene conversion and deletions would explore chemical variants. Two probable examples of such recombination were found. This model suggests strategies for detecting horizontal gene transfer in cluster evolution.
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Affiliation(s)
- Jurica Zucko
- grid.7645.0 0000000121550333 Department of Genetics University of Kaiserslautern Postfach 3049 67653 Kaiserslautern Germany
- grid.4808.4 0000000106574636 Faculty of Food Technology and Biotechnology University of Zagreb Pierottijeva 6 10000 Zagreb Croatia
| | - Paul F Long
- grid.13097.3c 0000000123226764 Department of Chemistry, Institute of Pharmaceutical Science King’s College London Franklin–Wilkins Building, Stamford Street SE1 9NH London UK
| | - Daslav Hranueli
- grid.4808.4 0000000106574636 Faculty of Food Technology and Biotechnology University of Zagreb Pierottijeva 6 10000 Zagreb Croatia
| | - John Cullum
- grid.7645.0 0000000121550333 Department of Genetics University of Kaiserslautern Postfach 3049 67653 Kaiserslautern Germany
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10
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Annotation of the modular polyketide synthase and nonribosomal peptide synthetase gene clusters in the genome of Streptomyces tsukubaensis NRRL18488. Appl Environ Microbiol 2012; 78:8183-90. [PMID: 22983969 DOI: 10.1128/aem.01891-12] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
The high G+C content and large genome size make the sequencing and assembly of Streptomyces genomes more difficult than for other bacteria. Many pharmaceutically important natural products are synthesized by modular polyketide synthases (PKSs) and nonribosomal peptide synthetases (NRPSs). The analysis of such gene clusters is difficult if the genome sequence is not of the highest quality, because clusters can be distributed over several contigs, and sequencing errors can introduce apparent frameshifts into the large PKS and NRPS proteins. An additional problem is that the modular nature of the clusters results in the presence of imperfect repeats, which may cause assembly errors. The genome sequence of Streptomyces tsukubaensis NRRL18488 was scanned for potential PKS and NRPS modular clusters. A phylogenetic approach was used to identify multiple contigs belonging to the same cluster. Four PKS clusters and six NRPS clusters were identified. Contigs containing cluster sequences were analyzed in detail by using the ClustScan program, which suggested the order and orientation of the contigs. The sequencing of the appropriate PCR products confirmed the ordering and allowed the correction of apparent frameshifts resulting from sequencing errors. The product chemistry of such correctly assembled clusters could also be predicted. The analysis of one PKS cluster showed that it should produce a bafilomycin-like compound, and reverse transcription (RT)-PCR was used to show that the cluster was transcribed.
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Wong FT, Khosla C. Combinatorial biosynthesis of polyketides--a perspective. Curr Opin Chem Biol 2012; 16:117-23. [PMID: 22342766 DOI: 10.1016/j.cbpa.2012.01.018] [Citation(s) in RCA: 96] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2011] [Revised: 12/19/2011] [Accepted: 01/27/2012] [Indexed: 12/29/2022]
Abstract
Since their discovery, polyketide synthases have been attractive targets of biosynthetic engineering to make 'unnatural' natural products. Although combinatorial biosynthesis has made encouraging advances over the past two decades, the field remains in its infancy. In this enzyme-centric perspective, we discuss the scientific and technological challenges that could accelerate the adoption of combinatorial biosynthesis as a method of choice for the preparation of encoded libraries of bioactive small molecules. Borrowing a page from the protein structure prediction community, we propose a periodic challenge program to vet the most promising methods in the field, and to foster the collective development of useful tools and algorithms.
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Affiliation(s)
- Fong T Wong
- Department of Chemical Engineering, Stanford University, Stanford, CA 94305, United States
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12
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Fedorova ND, Moktali V, Medema MH. Bioinformatics approaches and software for detection of secondary metabolic gene clusters. Methods Mol Biol 2012; 944:23-45. [PMID: 23065606 DOI: 10.1007/978-1-62703-122-6_2] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
The accelerating pace of microbial genomics is sparking a renaissance in the field of natural products research. Researchers can now get a preview of the organism's secondary metabolome by analyzing its genomic sequence. Combined with other -omics data, this approach may provide a cost-effective alternative to industrial high-throughput screening in drug discovery. In the last few years, several computational tools have been developed to facilitate this process by identifying genes involved in secondary metabolite biosynthesis in bacterial and fungal genomes. Here, we review seven software programs that are available for this purpose, with an emphasis on antibiotics & Secondary Metabolite Analysis SHell (antiSMASH) and Secondary Metabolite Unknown Regions Finder (SMURF), the only tools that can comprehensively detect complete secondary metabolite biosynthesis gene clusters. We also discuss five related software packages-CLUster SEquence ANalyzer (CLUSEAN), ClustScan, Structure Based Sequence Analysis of Polyketide Synthases (SBSPKS), NRPSPredictor, and Natural Product searcher (NP.searcher)-that identify secondary metabolite backbone biosynthesis genes. This chapter offers detailed protocols, suggestions, and caveats to assist researchers in using these tools most effectively.
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13
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Recombinatorial biosynthesis of polyketides. J Ind Microbiol Biotechnol 2011; 39:503-11. [PMID: 22042517 DOI: 10.1007/s10295-011-1049-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2011] [Accepted: 10/15/2011] [Indexed: 12/28/2022]
Abstract
Modular polyketide synthases (PKSs) from Streptomyces and related genera of bacteria produce many important pharmaceuticals. A program called CompGen was developed to carry out in silico homologous recombination between gene clusters encoding PKSs and determine whether recombinants have cluster architectures compatible with the production of polyketides. The chemical structure of recombinant polyketides was also predicted. In silico recombination was carried out for 47 well-characterised clusters. The predicted recombinants would produce 11,796 different polyketide structures. The molecular weights and average degree of reduction of the chemical structures are dispersed around the parental structures indicating that they are likely to include pharmaceutically interesting compounds. The details of the recombinants and the chemical structures were entered in a database called r-CSDB. The virtual compound library is a useful resource for computer-aided drug design and chemoinformatics strategies for finding pharmaceutically relevant chemical entities. A strategy to construct recombinant Streptomyces strains to produce these polyketides is described and the critical steps of mobilizing large biosynthetic clusters and producing new linear cloning vectors are illustrated by experimental data.
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