Metabolic Engineering of Tropane Alkaloid Biosynthesis in Plants

Over the past decade, the evolving commercial importance of so-called plant secondary metabolites has resulted in a great interest in secondary metabolism and, particularly, in the possibilities to enhance the yield of fine metabolites by means of genetic engineering. Plant alkaloids, which constitute one of the largest groups of natural products, provide many pharmacologically active compounds. Several genes in the tropane alkaloids biosynthesis pathways have been cloned, making the metabolic engineering of these alkaloids possible. The content of the target chemical scopolamine could be significantly increased by various approaches, such as introducing genes encoding the key biosynthetic enzymes or genes encoding regulatory proteins to overcome the specific rate-limiting steps. In addition, antisense genes have been used to block competitive pathways. These investigations have opened up new, promising perspectives for increased production in plants or plant cell culture. Recent achievements have been made in the metabolic engineering of plant tropane alkaloids and some new powerful strategies are reviewed in the present paper.     

Secondary metabolism, inventive evolution and biochemical diversity--a review.

Evidence now being obtained through nucleotide (nt) sequence analysis supports the concept that secondary metabolism has arisen by modification of existing primary metabolic reactions. Although amino acid sequence identity deduced from nt sequences of genes encoding proteins from related primary and secondary metabolic pathways is sufficient to indicate a common ancestry, the match is often better when genes in different rather than in the same species are compared. The information so far available suggests that gene transfer between organisms has been an important factor in the evolution of secondary metabolism. Many secondary pathways may be of relatively ancient origin and they may have arisen only infrequently. Much subsequent elaboration of the pathways has probably taken place after their acquisition by other species and so has been influenced by a variety of selective conditions. The characteristic diversity of secondary metabolites and their functions can be accounted for by the random manner in which the pathways initially evolved and have subsequently been exploited.     

Metabolic Engineering of Tropane Alkaloid Biosynthesis in Plants

Over the past decade, the evolving commercial importance of so-called plant secondary metabolites has resulted in a great interest in secondary metabolism and, particularly, in the possibilities to enhance the yield of fine metabolites by means of genetic engineering. Plant alkaloids, which constitute one of the largest groups of natural products, provide many pharmacologically active compounds. Several genes in the tropane alkaloids biosynthesis pathways have been cloned, making the metabolic engineering of these alkaloids possible. The content of the target chemical scopolamine could be significantly increased by various approaches, such as introducing genes encoding the key biosynthetic enzymes or genes encoding regulatory proteins to overcome the specific rate-limiting steps. In addition, antisense genes have been used to block competitive pathways. These investigations have opened up new, promising perspectives for increased production in plants or plant cell culture. Recent achievements have been made in the metabolic engineering of plant tropane alkaloids and some new powerful strategies are reviewed in the present paper.     

MbtH homology codes to identify gifted microbes for genome mining

Advances in DNA sequencing technologies have made it possible to sequence large numbers of microbial genomes rapidly and inexpensively. In recent years, genome sequencing initiatives have demonstrated that actinomycetes with large genomes generally have the genetic potential to produce many secondary metabolites, most of which remain cryptic. Since the numbers of new and novel pathways vary considerably among actinomycetes, and the correct assembly of secondary metabolite pathways containing type I polyketide synthase or nonribosomal peptide synthetase (NRPS) genes is costly and time consuming, it would be advantageous to have simple genetic predictors for the number and potential novelty of secondary metabolite pathways in targeted microorganisms. For secondary metabolite pathways that utilize NRPS mechanisms, the small chaperone-like proteins related to MbtH encoded by Mycobacterium tuberculosis offer unique probes or beacons to identify gifted microbes encoding large numbers of diverse NRPS pathways because of their unique function(s) and small size. The small size of the mbtH-homolog genes makes surveying large numbers of genomes straight-forward with less than ten-fold sequencing coverage. Multiple MbtH orthologs and paralogs have been coupled to generate a 24-mer multiprobe to assign numerical codes to individual MbtH homologs by BLASTp analysis. This multiprobe can be used to identify gifted microbes encoding new and novel secondary metabolites for further focused exploration by extensive DNA sequencing, pathway assembly and annotation, and expression studies in homologous or heterologous hosts.     

Identification and characterization of the asperthecin gene cluster of Aspergillus nidulans

The sequencing of Aspergillus genomes has revealed that the products of a large number of secondary metabolism pathways have not yet been identified. This is probably because many secondary metabolite gene clusters are not expressed under normal laboratory culture conditions. It is, therefore, important to discover conditions or regulatory factors that can induce the expression of these genes. We report that the deletion of sumO, the gene that encodes the small ubiquitin-like protein SUMO in A. nidulans, caused a dramatic increase in the production of the secondary metabolite asperthecin and a decrease in the synthesis of austinol/dehydroaustinol and sterigmatocystin. The overproduction of asperthecin in the sumO deletion mutant has allowed us, through a series of targeted deletions, to identify the genes required for asperthecin synthesis. The asperthecin biosynthesis genes are clustered and include genes encoding an iterative type I polyketide synthase, a hydrolase, and a monooxygenase. The identification of these genes allows us to propose a biosynthetic pathway for asperthecin.     

Biosynthesis of deoxyaminosugars in antibiotic-producing bacteria

Deoxyaminosugars comprise an important class of deoxysugars synthesized by a variety of different microorganisms; they can be structural components of lipopolysaccharides, extracellular polysaccharides, and secondary metabolites such as antibiotics. Genes involved in the biosynthesis of the deoxyaminosugars are often clustered and are located in the vicinity of other genes required for the synthesis of the final compound. Most of the gene clusters for aminosugar biosynthesis have common features, as they contain genes encoding dehydratases, isomerases, aminotransferases, methyltransferases, and glycosyltransferases. In the present mini-review, the proposed biosynthetic pathways for deoxyaminosugar components of both macrolide and non-macrolide antibiotics are highlighted. The possibilities for genetic manipulations of the deoxyaminosugar biosynthetic pathways aimed at production of novel secondary metabolites are discussed.     

Biosynthesis of secondary metabolites in the rice blast fungus Magnaporthe grisea: the role of hybrid PKS-NRPS in pathogenicity

Fungal secondary metabolites are an important source of bioactive compounds for agrochemistry and pharmacology. Over the past decade, many studies have been undertaken to characterize the biosynthetic pathways of fungal secondary metabolites. This effort has led to the discovery of new compounds, gene clusters, and key enzymes, and has been greatly supported by the recent releases of fungal genome sequences. In this review, we present results from a search for genes involved in secondary metabolism and their clusters in the genome of the rice pathogen, Magnaporthe grisea, as well as in other fungal genomes. We have also performed a phylogenetic analysis of recently discovered genes encoding hybrids between a polyketide synthase and a single non-ribosomal peptide synthetase module (PKS–NRPS), as M. grisea seems rich in these enzymes compared with other fungi. Using results from expression and functional studies, we discuss the role of these PKS-NRPS in the avirulence and pathogenicity of M. grisea.     

Fungal secondary metabolism - from biochemistry to genomics

Much of natural product chemistry concerns a group of compounds known as secondary metabolites. These low-molecular-weight metabolites often have potent physiological activities. Digitalis, morphine and quinine are plant secondary metabolites, whereas penicillin, cephalosporin, ergotrate and the statins are equally well known fungal secondary metabolites. Although chemically diverse, all secondary metabolites are produced by a few common biosynthetic pathways, often in conjunction with morphological development. Recent advances in molecular biology, bioinformatics and comparative genomics have revealed that the genes encoding specific fungal secondary metabolites are clustered and often located near telomeres. In this review, we address some important questions, including which evolutionary pressures led to gene clustering, why closely related species produce different profiles of secondary metabolites, and whether fungal genomics will accelerate the discovery of new pharmacologically active natural products.     

Genetic characterization and evolutionary implications of a chromosomally encoded naphthalene-degradation upper pathway from Pseudomonas stutzeri AN10.

Pseudomonas stutzeri strain AN10 is a naphthalene-degrading strain whose dissimilatory genes are chromosomally encoded. We sequenced a total of 11514bp including the entire naphthalene-degradation upper pathway (nah) of P. stutzeri AN10. Nine open reading frames, nahAaAbAcAdBFCED, encoding the enzymes for the degradation of naphthalene to salicylate, were identified. The nah genes of P. stutzeri AN10 have been compared with genes encoding isofunctional proteins from other Pseudomonas naphthalene-degradation upper pathways. The implications of the sequence homologies to the evolution of aromatic catabolic pathways are discussed. Our findings indicate that this entire catabolic module of P. stutzeri AN10 was recruited from other microorganisms and a short period of time has elapsed after its incorporation within the P. stutzeri AN10 genome. Comparisons also suggest the coexistence of two entire nah upper pathways in a host strain, and further recombination between them. These events could accelerate the evolution of modern catabolic pathways.     

Prediction of operon-like gene clusters in the Arabidopsis thaliana genome based on co-expression analysis of neighboring genes

Operon-like arrangements of genes occur in eukaryotes ranging from yeasts and filamentous fungi to nematodes, plants, and mammals. In plants, several examples of operon-like gene clusters involved in metabolic pathways have recently been characterized, e.g. the cyclic hydroxamic acid pathways in maize, the avenacin biosynthesis gene clusters in oat, the thalianol pathway in Arabidopsis thaliana, and the diterpenoid momilactone cluster in rice. Such operon-like gene clusters are defined by their co-regulation or neighboring positions within immediate vicinity of chromosomal regions. A comprehensive analysis of the expression of neighboring genes therefore accounts a crucial step to reveal the complete set of operon-like gene clusters within a genome. Genome-wide prediction of operon-like gene clusters should contribute to functional annotation efforts and provide novel insight into evolutionary aspects acquiring certain biological functions as well. We predicted co-expressed gene clusters by comparing the Pearson correlation coefficient of neighboring genes and randomly selected gene pairs, based on a statistical method that takes false discovery rate (FDR) into consideration for 1469 microarray gene expression datasets of A. thaliana. We estimated that A. thaliana contains 100 operon-like gene clusters in total. We predicted 34 statistically significant gene clusters consisting of 3 to 22 genes each, based on a stringent FDR threshold of 0.1. Functional relationships among genes in individual clusters were estimated by sequence similarity and functional annotation of genes. Duplicated gene pairs (determined based on BLAST with a cutoff of E<10(-5)) are included in 27 clusters. Five clusters are associated with metabolism, containing P450 genes restricted to the Brassica family and predicted to be involved in secondary metabolism. Operon-like clusters tend to include genes encoding bio-machinery associated with ribosomes, the ubiquitin/proteasome system, secondary metabolic pathways, lipid and fatty-acid metabolism, and the lipid transfer system.