5,009 research outputs found

    Fungal Endophytes of Populus trichocarpa Alter Host Phenotype, Gene Expression, and Rhizobiome Composition.

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    Mortierella and Ilyonectria genera include common species of soil fungi that are frequently detected as root endophytes in many plants, including Populus spp. However, the ecological roles of these and other endophytic fungi with respect to plant growth and function are still not well understood. The functional ecology of two key taxa from the P. trichocarpa rhizobiome, M. elongata PMI93 and I. europaea PMI82, was studied by coupling forest soil bioassays with environmental metatranscriptomics. Using soil bioassay experiments amended with fungal inoculants, M. elongata was observed to promote the growth of P. trichocarpa. This response was cultivar independent. In contrast, I. europaea had no visible effect on P. trichocarpa growth. Metatranscriptomic studies revealed that these fungi impacted rhizophytic and endophytic activities in P. trichocarpa and induced shifts in soil and root microbial communities. Differential expression of core genes in P. trichocarpa roots was observed in response to both fungal species. Expression of P. trichocarpa genes for lipid signaling and nutrient uptake were upregulated, and expression of genes associated with gibberellin signaling were altered in plants inoculated with M. elongata, but not I. europaea. Upregulation of genes for growth promotion, downregulation of genes for several leucine-rich repeat receptor kinases, and alteration of expression of genes associated with plant defense responses (e.g., jasmonic acid, salicylic acid, and ethylene signal pathways) also suggest that M. elongata manipulates plant defenses while promoting plant growth

    Polyketide Synthase III isolated from uncultured deep-sea Proteobacterium from the Red Sea- functional and evolutionary characterization

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    Natural polyketide products are one of the major secondary metabolites produced among bacteria, fungi, and plants. They vary from flavonoids, pyrones, and stilbenes to phloroglucinols and resorcinols that are involved in important functions as antimicrobial activity, defense mechanisms and pigmentation. They are biosynthesized from acyl-CoA precursors by polyketides synthases (PKSs) that are categorized into 3 types: I, II and III. PKS type III is considered the simplest in its structure. It was believed that PKS type III was exclusively encoded by higher plants until the enduring efforts of bacterial genomes sequencing revealed the presence of more and more PKSs type III among them. There is an urge to investigate novel PKSs type III due to their promising polyketides of great biological and pharmaceutical advantages. This allowed metagenomic approaches to be a valuable tool to explore diverse environments for PKSs type III. Extreme environments as deep sea brine pools could probe unique natural polyketides capable of functioning in such conditions with valuable biotechnological and pharmaceutical applications. In this study, screening of the Lower Convective Layer (LCL) of Atlantis II (ATII) deep brine pool in the Red Sea was done. It identified sequences belonging to bacterial PKSs type III. A candidate encoding sequence was amplified from the environmental DNA. Functional annotations were assigned to the translated open reading frame including the conserved catalytic triad, domains, motifs and 3D modelling. Preliminary structural analysis showed well-fitted superimposition with the flowering plant Medicago sativa PKS type III crystal structure and predicted the interaction of the catalytic triad with the most common substrate malonyl-CoA. Further optimization of heterologous expression is required to investigate this isolated PKS type III functional activity. In an approach to gain better insights into the enzyme’s unresolved evolutionary origin, a comprehensive phylogenetic analysis was conducted. The analysis pinpoints the possible involvement of symbiotic bacterium Parachlamydia acanthamoebae in horizontal gene transfer events to eukaryotes. On the other hand, the sequence isolated from ATII brine pool was clustered in a clade with related PKSs type III sequences belonging to alpha-proteobacteria. Environmental assessment of PKSs type III abundance in ATII and nearby Discovery Deep (DD) brine pool revealed the presence of PKSs type III in ATII only, where most sequences were located in the LCL. This could be attributed to the high aromatic content within the brine as possible substrates for the enzyme. Based on these analyses, we could propose ATII microbial community as a unique source for natural polyketides

    Environmental boundary conditions for the origin of life converge to an organo-sulfur metabolism

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    Published in final edited form as: Nat Ecol Evol. 2019 December ; 3(12): 1715–1724. doi:10.1038/s41559-019-1018-8.It has been suggested that a deep memory of early life is hidden in the architecture of metabolic networks, whose reactions could have been catalyzed by small molecules or minerals before genetically encoded enzymes. A major challenge in unravelling these early steps is assessing the plausibility of a connected, thermodynamically consistent proto-metabolism under different geochemical conditions, which are still surrounded by high uncertainty. Here we combine network-based algorithms with physico-chemical constraints on chemical reaction networks to systematically show how different combinations of parameters (temperature, pH, redox potential and availability of molecular precursors) could have affected the evolution of a proto-metabolism. Our analysis of possible trajectories indicates that a subset of boundary conditions converges to an organo-sulfur-based proto-metabolic network fuelled by a thioester- and redox-driven variant of the reductive tricarboxylic acid cycle that is capable of producing lipids and keto acids. Surprisingly, environmental sources of fixed nitrogen and low-potential electron donors are not necessary for the earliest phases of biochemical evolution. We use one of these networks to build a steady-state dynamical metabolic model of a protocell, and find that different combinations of carbon sources and electron donors can support the continuous production of a minimal ancient 'biomass' composed of putative early biopolymers and fatty acids.80NSSC17K0295 - Intramural NASA; 80NSSC17K0296 - Intramural NASA; T32 GM100842 - NIGMS NIH HHSAccepted manuscrip

    Synthetic Metabolism: Engineering Biology at the Protein and Pathway Scales

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    Biocatalysis has become a powerful tool for the synthesis of high-value compounds, particularly so in the case of highly functionalized and/or stereoactive products. Nature has supplied thousands of enzymes and assembled them into numerous metabolic pathways. Although these native pathways can be use to produce natural bioproducts, there are many valuable and useful compounds that have no known natural biochemical route. Consequently, there is a need for both unnatural metabolic pathways and novel enzymatic activities upon which these pathways can be built. Here, we review the theoretical and experimental strategies for engineering synthetic metabolic pathways at the protein and pathway scales, and highlight the challenges that this subfield of synthetic biology currently faces.Synthetic Biology Engineering Research CenterNational Science Foundation (Grant no. 0540879

    Proteome characterizations of microbial systems using MS-based experimental and informatics approaches to examine key metabolic pathways, proteins of unknown function, and phenotypic adaptation

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    Microbes express complex phenotypes and coordinate activities to build microbial communities. Recent work has focused on understanding the ability of microbial systems to efficiently utilize cellulosic biomass to produce bioenergy-related products. In order to maximize the yield of these bioenergy-related products from a microbial system, it is necessary to understand the molecular mechanisms.The ability of mass spectrometry to precisely identify thousands of proteins from a bacterial source has established mass spectrometry-based proteomics as an indispensable tool for various biological disciplines. This dissertation developed and optimized various proteomics experimental and informatic protocols, and integrated the resulting data with metabolomics, transcriptomics, and genomics in order to understand the systems biology of bio-energy relevant organisms. Integration of these various omics technologies led to an improved understanding of microbial cell-to-cell communication in response to external stimuli, microbial adaptation during deconstruction of lignocellulosic biomass and proteome diversity when an organism is subjected to different growth conditions.Integrated omics revealed Clostridium thermocellum\u27s accumulate long-chain, branched fatty acids over time in response to cytotoxic inhibitors released during the deconstruction and utilization of switchgrass. A striking feature implies a restructuring of C. thermocellum\u27s cellular membrane as the culture progresses. The membrane remodulation was further examined in a study involving the swarming and swimming phenotypes of Paenibacillus polymyxa. The possible roles of phospholipids, hydrolytic enzymes, surfactin, flagellar assembly, chemotaxis and glycerol metabolism in swarming motility were investigated by integrating lipidomics with proteomics.Extracellular proteome analysis of Caldicellulosiruptor bescii revealed secretome plasticity based on the complexity (mono-/disaccharides vs. polysaccharides) and type of carbon (C5 vs. C6) available to the microorganism. This study further opened the avenue for research to characterize proteins of unknown function (PUFs) specific to growth conditions.To gain a better understanding of the possible functions of PUFs in C. thermocellum, a time course analysis of C. thermocellum was conducted. Based on the concept of guilt-by-association, protein intensities and their co-expressions were used to tease out the functional aspect of PUFs. Clustering trends and network analysis were used to infer potential functions of PUFs. Selected PUFs were further interrogated by the use of phylogeny and structural modeling
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