Making new molecules - evolution of pathways for novel metabolites in plants

Plants have adapted to their environments by diversifying in various ways. This diversification is reflected at the phytochemical level in their production of numerous specialized secondary metabolites that provide protection against biotic and abiotic stresses. Plant speciation is therefore intimately linked to metabolic diversification, yet we do not currently have a deep understanding of how new metabolic pathways evolve. Recent evidence indicates that genes for individual secondary metabolic pathways can be either distributed throughout the genome or clustered, but the relative frequencies of these two pathway organizations remain to be established. While it is possible that clustering is a feature of pathways that have evolved in recent evolutionary time, the answer to this and how dispersed and clustered pathways may be related remain to be addressed. Recent advances enabled by genomics and systems biology are beginning to yield the first insights into network evolution in plant metabolism. This review focuses on recent progress in understanding the evolution of clustered and dispersed pathways for new secondary metabolites in plants.     

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.     

Genomic analysis of the terpenoid synthase (<Emphasis Type="Italic">AtTPS</Emphasis>) gene family of<Emphasis Type="Italic"> Arabidopsis thaliana</Emphasis>

A family of 40 terpenoid synthase genes ( AtTPS) was discovered by genome sequence analysis in Arabidopsis thaliana. This is the largest and most diverse group of TPS genes currently known for any species. AtTPS genes cluster into five phylogenetic subfamilies of the plant TPS superfamily. Surprisingly, thirty AtTPS closely resemble, in all aspects of gene architecture, sequence relatedness and phylogenetic placement, the genes for plant monoterpene synthases, sesquiterpene synthases or diterpene synthases of secondary metabolism. Rapid evolution of these AtTPS resulted from repeated gene duplication and sequence divergence with minor changes in gene architecture. In contrast, only two AtTPS genes have known functions in basic (primary) metabolism, namely gibberellin biosynthesis. This striking difference in rates of gene diversification in primary and secondary metabolism is relevant for an understanding of the evolution of terpenoid natural product diversity. Eight AtTPS genes are interrupted and are likely to be inactive pseudogenes. The localization of AtTPS genes on all five chromosomes reflects the dynamics of the Arabidopsis genome; however, several AtTPS genes are clustered and organized in tandem repeats. Furthermore, some AtTPS genes are localized with prenyltransferase genes ( AtGGPPS, geranylgeranyl diphosphate synthase) in contiguous genomic clusters encoding consecutive steps in terpenoid biosynthesis. The clustered organization may have implications for TPS gene evolution and the evolution of pathway segments for the synthesis of terpenoid natural products. Phylogenetic analyses highlight events in the divergence of the TPS paralogs and suggest orthologous genes and a model for the evolution of the TPS gene family.     

植物次生代谢基因簇研究进展

类似于原核生物的操纵子,在真核生物（如酵母、真菌、昆虫等）基因组中也出现了彼此功能相关的非同源基因成簇存在的现象。这些基因形成基因簇,可参与多种次生代谢途径。近年来,植物中也发现了越来越多的参与次生代谢产物合成的基因簇,它们已成为植物生物学研究的热点。本文总结并分析了植物中已鉴定的次生代谢基因簇。这些基因簇存在于玉米（Zea mays L.）、水稻（Oryza sativa L.）、拟南芥（Arabidopsis thaliana（L.） Heynh.）、番茄（Solanum lycopersicum L.）等植物的基因组中,分别参与合成苯并噁唑嗪酮类、萜类和生物碱类等次生代谢产物。本文通过解析这些基因簇的组成及结构特点,对其特征进行总结,探讨了基因簇形成的分子机理及其调控机制,对植物次生代谢基因簇在合成生物学及代谢工程学中的研究方向和应用前景进行了展望。     

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.     

Comparative analysis of the complete genome sequence of the plant growth-promoting bacterium Bacillus amyloliquefaciens FZB42

Bacillus amyloliquefaciens FZB42 is a Gram-positive, plant-associated bacterium, which stimulates plant growth and produces secondary metabolites that suppress soil-borne plant pathogens. Its 3,918-kb genome, containing an estimated 3,693 protein-coding sequences, lacks extended phage insertions, which occur ubiquitously in the closely related Bacillus subtilis 168 genome. The B. amyloliquefaciens FZB42 genome reveals an unexpected potential to produce secondary metabolites, including the polyketides bacillaene and difficidin. More than 8.5% of the genome is devoted to synthesizing antibiotics and siderophores by pathways not involving ribosomes. Besides five gene clusters, known from B. subtilis to mediate nonribosomal synthesis of secondary metabolites, we identified four giant gene clusters absent in B. subtilis 168. The pks2 gene cluster encodes the components to synthesize the macrolactin core skeleton.     

Gene networks regulating secondary metabolism in actinomycetes: Pleiotropic regulators

Current advances in the research and practical application of pleiotropic regulatory genes for antibiotic production in actinomycetes are reviewed. The basic regulatory mechanisms discovered in these bacteria are outlined. The examples described in the review show the importance of the manipulation of regulatory systems that affect the synthesis of antibiotics for the metabolic engineering of actinomycetes. Also, the study of these genes is the basis for the development of genetic engineering approaches to the induction of the “cryptic” part of the actinomycetes secondary metabolome, the capacity of which for the production of biologically active compounds is much larger than the diversity of antibiotics underpinned by traditional microbiological screening. Besides practical problems, the study of regulatory genes for antibiotic biosynthesis will provide insights into the process of evolution of complex regulatory systems that coordinate the expression of gene operons, clusters, and regulons, involved in the control of the secondary metabolism and morphogenesis of actinomycetes.     

Delineation of metabolic gene clusters in plant genomes by chromatin signatures

Plants are a tremendous source of diverse chemicals, including many natural product-derived drugs. It has recently become apparent that the genes for the biosynthesis of numerous different types of plant natural products are organized as metabolic gene clusters, thereby unveiling a highly unusual form of plant genome architecture and offering novel avenues for discovery and exploitation of plant specialized metabolism. Here we show that these clustered pathways are characterized by distinct chromatin signatures of histone 3 lysine trimethylation (H3K27me3) and histone 2 variant H2A.Z, associated with cluster repression and activation, respectively, and represent discrete windows of co-regulation in the genome. We further demonstrate that knowledge of these chromatin signatures along with chromatin mutants can be used to mine genomes for cluster discovery. The roles of H3K27me3 and H2A.Z in repression and activation of single genes in plants are well known. However, our discovery of highly localized operon-like co-regulated regions of chromatin modification is unprecedented in plants. Our findings raise intriguing parallels with groups of physically linked multi-gene complexes in animals and with clustered pathways for specialized metabolism in filamentous fungi.     

The Evolution of Fungal Metabolic Pathways

Fungi contain a remarkable range of metabolic pathways, sometimes encoded by gene clusters, enabling them to digest most organic matter and synthesize an array of potent small molecules. Although metabolism is fundamental to the fungal lifestyle, we still know little about how major evolutionary processes, such as gene duplication (GD) and horizontal gene transfer (HGT), have interacted with clustered and non-clustered fungal metabolic pathways to give rise to this metabolic versatility. We examined the synteny and evolutionary history of 247,202 fungal genes encoding enzymes that catalyze 875 distinct metabolic reactions from 130 pathways in 208 diverse genomes. We found that gene clustering varied greatly with respect to metabolic category and lineage; for example, clustered genes in Saccharomycotina yeasts were overrepresented in nucleotide metabolism, whereas clustered genes in Pezizomycotina were more common in lipid and amino acid metabolism. The effects of both GD and HGT were more pronounced in clustered genes than in their non-clustered counterparts and were differentially distributed across fungal lineages; specifically, GD, which was an order of magnitude more abundant than HGT, was most frequently observed in Agaricomycetes, whereas HGT was much more prevalent in Pezizomycotina. The effect of HGT in some Pezizomycotina was particularly strong; for example, we identified 111 HGT events associated with the 15 Aspergillus genomes, which sharply contrasts with the 60 HGT events detected for the 48 genomes from the entire Saccharomycotina subphylum. Finally, the impact of GD within a metabolic category was typically consistent across all fungal lineages, whereas the impact of HGT was variable. These results indicate that GD is the dominant process underlying fungal metabolic diversity, whereas HGT is episodic and acts in a category- or lineage-specific manner. Both processes have a greater impact on clustered genes, suggesting that metabolic gene clusters represent hotspots for the generation of fungal metabolic diversity.     

拟南芥花药绒毡层细胞中具有基因簇特征的基因进化和功能分析

在植物基因组中, 除了同源基因成簇现象外, 近年来还发现一些具有共表达特性的异源基因也能够以基因簇形式存在, 但这些异源基因簇的进化和生物学功能尚不清楚。花药发育和花粉形成是植物进化出的特有的生殖生物学过程, 同时产生了一些在花药绒毡层中特异表达和特定功能的基因簇基因。该研究通过筛选和分析花药绒毡层中基因簇基因的分子特性、表达调控、基因年龄和基因重复进化等信息, 探讨花药基因簇基因与植物开花功能进化之间的关系。结果表明, 在拟南芥(Arabidopsis thaliana)中共筛选到84个(13个基因簇)花药绒毡层特异高表达的基因簇基因, 它们主要产生于串联重复事件, 76%的基因出现在开花植物分化后的阶段, 主要参与生殖发育、花粉鞘组成和脂代谢等生物学过程。研究初步解析了拟南芥花药绒毡层中基因簇基因的基本特征、生物学功能和基因进化机制, 为深入揭示植物基因簇基因的遗传学功能奠定了基础。     

A test of the coordinated expression hypothesis for the origin and maintenance of the GAL cluster in yeast

Metabolic gene clusters--functionally related and physically clustered genes--are a common feature of some eukaryotic genomes. Two hypotheses have been advanced to explain the origin and maintenance of metabolic gene clusters: coordinated gene expression and genetic linkage. Here we test the hypothesis that selection for coordinated gene expression underlies the clustering of GAL genes in the yeast genome. We find that, although clustering coordinates the expression of GAL1 and GAL10, disrupting the GAL cluster does not impair fitness, suggesting that other mechanisms, such as genetic linkage, drive the origin and maintenance metabolic gene clusters.     

Origin and distribution of epipolythiodioxopiperazine (ETP) gene clusters in filamentous ascomycetes

Background  

Genes responsible for biosynthesis of fungal secondary metabolites are usually tightly clustered in the genome and co-regulated with metabolite production. Epipolythiodioxopiperazines (ETPs) are a class of secondary metabolite toxins produced by disparate ascomycete fungi and implicated in several animal and plant diseases. Gene clusters responsible for their production have previously been defined in only two fungi. Fungal genome sequence data have been surveyed for the presence of putative ETP clusters and cluster data have been generated from several fungal taxa where genome sequences are not available. Phylogenetic analysis of cluster genes has been used to investigate the assembly and heredity of these gene clusters.     

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.     

Genetic and biochemical aspects of keratin synthesis by hair follicles

In this review article the data about synthesis and gene regulation of keratin by hair follicles have been summarized. It has been shown that both differentiation of hair follicle matrix cells and normal growth of hair require the coordinated activities of the genes encoding structural proteins. The keratin genes are clustered in families and are usually 5-10 kb in the genome. The separate clusters of two keratin IF gene families and five KAP gene families have been discovered and some of them have been mapped. The close relation between these clusters suggests that the "global" regulatory domains might govern their expression.     

Genome-based discovery, structure prediction and functional analysis of cyclic lipopeptide antibiotics in Pseudomonas species

Analysis of microbial genome sequences have revealed numerous genes involved in antibiotic biosynthesis. In Pseudomonads, several gene clusters encoding non-ribosomal peptide synthetases (NRPSs) were predicted to be involved in the synthesis of cyclic lipopeptide (CLP) antibiotics. Most of these predictions, however, are untested and the association between genome sequence and biological function of the predicted metabolite is lacking. Here we report the genome-based identification of previously unknown CLP gene clusters in plant pathogenic Pseudomonas syringae strains B728a and DC3000 and in plant beneficial Pseudomonas fluorescens Pf0-1 and SBW25. For P. fluorescens SBW25, a model strain in studying bacterial evolution and adaptation, the structure of the CLP with a predicted 9-amino acid peptide moiety was confirmed by chemical analyses. Mutagenesis confirmed that the three identified NRPS genes are essential for CLP synthesis in strain SBW25. CLP production was shown to play a key role in motility, biofilm formation and in activity of SBW25 against zoospores of Phytophthora infestans. This is the first time that an antimicrobial metabolite is identified from strain SBW25. The results indicate that genome mining may enable the discovery of unknown gene clusters and traits that are highly relevant in the lifestyle of plant beneficial and plant pathogenic bacteria.