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      Discovery and engineering of colchicine alkaloid biosynthesis

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      1 , 1 , 1 , 2 , *
      Nature

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          SUMMARY PARAGRAPH:

          Few complete pathways are established for the biosynthesis of medicinal compounds from plants. Accordingly, many plant-derived therapeutics are isolated directly from medicinal plants or plant cell culture. 1 A lead example is colchicine, an FDA-approved treatment for inflammatory disorders that is sourced from Colchicum and Gloriosa species. 2- 5 Here we use a combination of transcriptomics, metabolic logic, and pathway reconstitution to elucidate a near complete biosynthetic pathway to colchicine without prior knowledge of biosynthetic genes, a sequenced genome, or genetic tools in the native host. We have uncovered eight genes from Gloriosa superba for the biosynthesis of N-formyldemecolcine, a colchicine precursor that contains the characteristic tropolone ring and pharmacophore of colchicine. 6 Notably, in doing so we have identified a non-canonical cytochrome P450 that catalyzes the remarkable ring expansion reaction required to produce the distinct carbon scaffold of colchicine. We further utilize the newly identified genes to engineer a biosynthetic pathway (16 enzymes total) to N-formyldemecolcine in Nicotiana benthamiana starting from the amino acids phenylalanine and tyrosine. This work establishes a metabolic route to tropolone-containing colchicine alkaloids and provides new insights into the unique chemistry plants use to generate complex, bioactive metabolites from simple amino acids.

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          Most cited references75

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          Is Open Access

          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            Fast gapped-read alignment with Bowtie 2.

            As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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              Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences.

              In 2001 and 2002, we published two papers (Bioinformatics, 17, 282-283, Bioinformatics, 18, 77-82) describing an ultrafast protein sequence clustering program called cd-hit. This program can efficiently cluster a huge protein database with millions of sequences. However, the applications of the underlying algorithm are not limited to only protein sequences clustering, here we present several new programs using the same algorithm including cd-hit-2d, cd-hit-est and cd-hit-est-2d. Cd-hit-2d compares two protein datasets and reports similar matches between them; cd-hit-est clusters a DNA/RNA sequence database and cd-hit-est-2d compares two nucleotide datasets. All these programs can handle huge datasets with millions of sequences and can be hundreds of times faster than methods based on the popular sequence comparison and database search tools, such as BLAST.
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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                3 October 2020
                22 July 2020
                August 2020
                15 March 2021
                : 584
                : 7819
                : 148-153
                Affiliations
                [1 ]Department of Chemical Engineering, Stanford University, Stanford, CA 94305, USA
                [2 ]Howard Hughes Medical Institute, Stanford, CA 94305, USA
                Author notes
                [* ]Correspondence and requests for materials should be directed to E.S.S. ( sattely@ 123456stanford.edu ).
                [‡]

                Contributed equally to this work

                AUTHOR CONTRIBUTIONS

                R.S.N., W.L., and E.S.S. conceived experiments. R.S.N. and W.L. analyzed transcriptome data, expressed and characterized biosynthetic genes, established the metabolic engineering strategy, and synthesized/isolated authentic chemical standards. W.L. performed the RNA-sequencing experiment and metabolite profiling of G. superba. R.S.N., W.L., and E.S.S. analyzed the data and wrote the manuscript.

                Article
                NIHMS1605139
                10.1038/s41586-020-2546-8
                7958869
                32699417
                42233d9c-f8d3-4573-aa52-72a9119ae64e

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