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      HEx: A heterologous expression platform for the discovery of fungal natural products

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          Abstract

          We develop a novel synthetic biology platform for rapid, scalable expression of fungal biosynthetic genes and encoded metabolites.

          Abstract

          For decades, fungi have been a source of U.S. Food and Drug Administration–approved natural products such as penicillin, cyclosporine, and the statins. Recent breakthroughs in DNA sequencing suggest that millions of fungal species exist on Earth, with each genome encoding pathways capable of generating as many as dozens of natural products. However, the majority of encoded molecules are difficult or impossible to access because the organisms are uncultivable or the genes are transcriptionally silent. To overcome this bottleneck in natural product discovery, we developed the HEx (Heterologous EXpression) synthetic biology platform for rapid, scalable expression of fungal biosynthetic genes and their encoded metabolites in Saccharomyces cerevisiae. We applied this platform to 41 fungal biosynthetic gene clusters from diverse fungal species from around the world, 22 of which produced detectable compounds. These included novel compounds with unexpected biosynthetic origins, particularly from poorly studied species. This result establishes the HEx platform for rapid discovery of natural products from any fungal species, even those that are uncultivable, and opens the door to discovery of the next generation of natural products.

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          Production of the antimalarial drug precursor artemisinic acid in engineered yeast.

          Malaria is a global health problem that threatens 300-500 million people and kills more than one million people annually. Disease control is hampered by the occurrence of multi-drug-resistant strains of the malaria parasite Plasmodium falciparum. Synthetic antimalarial drugs and malarial vaccines are currently being developed, but their efficacy against malaria awaits rigorous clinical testing. Artemisinin, a sesquiterpene lactone endoperoxide extracted from Artemisia annua L (family Asteraceae; commonly known as sweet wormwood), is highly effective against multi-drug-resistant Plasmodium spp., but is in short supply and unaffordable to most malaria sufferers. Although total synthesis of artemisinin is difficult and costly, the semi-synthesis of artemisinin or any derivative from microbially sourced artemisinic acid, its immediate precursor, could be a cost-effective, environmentally friendly, high-quality and reliable source of artemisinin. Here we report the engineering of Saccharomyces cerevisiae to produce high titres (up to 100 mg l(-1)) of artemisinic acid using an engineered mevalonate pathway, amorphadiene synthase, and a novel cytochrome P450 monooxygenase (CYP71AV1) from A. annua that performs a three-step oxidation of amorpha-4,11-diene to artemisinic acid. The synthesized artemisinic acid is transported out and retained on the outside of the engineered yeast, meaning that a simple and inexpensive purification process can be used to obtain the desired product. Although the engineered yeast is already capable of producing artemisinic acid at a significantly higher specific productivity than A. annua, yield optimization and industrial scale-up will be required to raise artemisinic acid production to a level high enough to reduce artemisinin combination therapies to significantly below their current prices.
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            Bidirectional promoters generate pervasive transcription in yeast.

            Genome-wide pervasive transcription has been reported in many eukaryotic organisms, revealing a highly interleaved transcriptome organization that involves hundreds of previously unknown non-coding RNAs. These recently identified transcripts either exist stably in cells (stable unannotated transcripts, SUTs) or are rapidly degraded by the RNA surveillance pathway (cryptic unstable transcripts, CUTs). One characteristic of pervasive transcription is the extensive overlap of SUTs and CUTs with previously annotated features, which prompts questions regarding how these transcripts are generated, and whether they exert function. Single-gene studies have shown that transcription of SUTs and CUTs can be functional, through mechanisms involving the generated RNAs or their generation itself. So far, a complete transcriptome architecture including SUTs and CUTs has not been described in any organism. Knowledge about the position and genome-wide arrangement of these transcripts will be instrumental in understanding their function. Here we provide a comprehensive analysis of these transcripts in the context of multiple conditions, a mutant of the exosome machinery and different strain backgrounds of Saccharomyces cerevisiae. We show that both SUTs and CUTs display distinct patterns of distribution at specific locations. Most of the newly identified transcripts initiate from nucleosome-free regions (NFRs) associated with the promoters of other transcripts (mostly protein-coding genes), or from NFRs at the 3' ends of protein-coding genes. Likewise, about half of all coding transcripts initiate from NFRs associated with promoters of other transcripts. These data change our view of how a genome is transcribed, indicating that bidirectionality is an inherent feature of promoters. Such an arrangement of divergent and overlapping transcripts may provide a mechanism for local spreading of regulatory signals-that is, coupling the transcriptional regulation of neighbouring genes by means of transcriptional interference or histone modification.
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              Functional Characterization of the S. cerevisiae Genome by Gene Deletion and Parallel Analysis

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                Author and article information

                Journal
                Sci Adv
                Sci Adv
                SciAdv
                advances
                Science Advances
                American Association for the Advancement of Science
                2375-2548
                April 2018
                11 April 2018
                : 4
                : 4
                : eaar5459
                Affiliations
                [1 ]Stanford Genome Technology Center, Stanford University School of Medicine, Palo Alto, CA 94304, USA.
                [2 ]Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA 90095, USA.
                [3 ]Stanford ChEM-H (Chemistry, Engineering and Medicine for Human Health), Stanford University, Palo Alto, CA 94304, USA.
                [4 ]Department of Genetics, Stanford University School of Medicine, Palo Alto, CA 94304, USA.
                [5 ]European Molecular Biology Laboratory Heidelberg, 69117 Heidelberg, Germany.
                [6 ]Bioinformatics Group, Wageningen University, Wageningen, Netherlands.
                [7 ]Department of Chemical Engineering, Stanford University, Palo Alto, CA 94304, USA.
                [8 ]Department of Chemistry, Stanford University, Palo Alto, CA 94304, USA.
                [9 ]Department of Chemistry and Biochemistry, University of California, Los Angeles, CA 90095, USA.
                Author notes
                [*]

                Present address: Hexagon Bio, Menlo Park, CA 94025, USA.

                [†]

                These authors contributed equally to this work.

                []Corresponding author. Email: maureenh@ 123456stanford.edu (M.E.H.); cjharvey@ 123456stanford.edu (C.J.B.H.)
                [§]

                Present address: Department of Bioinformatics, Illumina Inc., San Diego, CA 92122, USA.

                Author information
                http://orcid.org/0000-0002-4719-7627
                http://orcid.org/0000-0001-9418-3239
                http://orcid.org/0000-0003-3386-9813
                http://orcid.org/0000-0003-0219-4235
                http://orcid.org/0000-0002-0666-8947
                http://orcid.org/0000-0003-2214-4411
                http://orcid.org/0000-0003-3166-4638
                http://orcid.org/0000-0002-3007-8963
                http://orcid.org/0000-0003-3123-2333
                http://orcid.org/0000-0002-2191-2821
                http://orcid.org/0000-0003-1626-3107
                http://orcid.org/0000-0003-1597-0141
                Article
                aar5459
                10.1126/sciadv.aar5459
                5895447
                29651464
                ce9bedf3-7cc9-4998-84e6-a4233cbde9e6
                Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

                This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.

                History
                : 20 November 2017
                : 26 February 2018
                Categories
                Research Article
                Research Articles
                SciAdv r-articles
                Organismal Biology
                Custom metadata
                Eunice Ann Alesin

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