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      The absence of the caffeine synthase gene is involved in the naturally decaffeinated status of Coffea humblotiana, a wild species from Comoro archipelago

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          Abstract

          Caffeine is the most consumed alkaloid stimulant in the world. It is synthesized through the activity of three known N-methyltransferase proteins. Here we are reporting on the 422-Mb chromosome-level assembly of the Coffea humblotiana genome, a wild and endangered, naturally caffeine-free, species from the Comoro archipelago. We predicted 32,874 genes and anchored 88.7% of the sequence onto the 11 chromosomes. Comparative analyses with the African Robusta coffee genome ( C. canephora) revealed an extensive genome conservation, despite an estimated 11 million years of divergence and a broad diversity of genome sizes within the Coffea genus. In this genome, the absence of caffeine is likely due to the absence of the caffeine synthase gene which converts theobromine into caffeine through an illegitimate recombination mechanism. These findings pave the way for further characterization of caffeine-free species in the Coffea genus and will guide research towards naturally-decaffeinated coffee drinks for consumers.

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          Most cited references66

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          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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              Basic local alignment search tool.

              A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straightforward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.
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                Author and article information

                Contributors
                romain.guyot@ird.fr
                dominique.crouzillat@rdto.nestle.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                14 April 2021
                14 April 2021
                2021
                : 11
                : 8119
                Affiliations
                [1 ]GRID grid.433118.c, ISNI 0000 0001 2302 6762, Centre National de Recherche Appliquée au Développement Rural, ; BP 1444, 101 Ambatobe, Antananarivo Madagascar
                [2 ]GRID grid.5342.0, ISNI 0000 0001 2069 7798, Department of Plant Biotechnology and Bioinformatics, , Ghent University, ; Ghent, Belgium
                [3 ]GRID grid.418923.5, ISNI 0000 0004 0638 528X, European Molecular Biology Laboratory, ; 71 Avenue des Martyrs, CS 90181, 38042 Grenoble Cedex 9, France
                [4 ]GRID grid.7779.e, ISNI 0000 0001 2290 6370, Departamento de Ciencias Biológicas, Facultad de Ciencias Exactas y Naturales, , Universidad de Caldas, ; Manizales, Colombia
                [5 ]GRID grid.7779.e, ISNI 0000 0001 2290 6370, Department of Systems and Informatics, , Universidad de Caldas, ; Manizales, Colombia
                [6 ]GRID grid.441739.c, ISNI 0000 0004 0486 2919, Universidad Autónoma de Manizales, ; Manizales, Colombia
                [7 ]GRID grid.419905.0, ISNI 0000 0001 0066 4948, Nestle Research, Société des Produits Nestlé SA, ; 1015 Lausanne, Switzerland
                [8 ]Nestle Research-Plant Science Research Unit, BP 49716, 37097 Tours Cedex 2, France
                [9 ]GRID grid.5386.8, ISNI 000000041936877X, Boyce Thompson Institute for Plant Research, , Cornell University, ; Ithaca, NY 14853 USA
                [10 ]GRID grid.121334.6, ISNI 0000 0001 2097 0141, Institut de Recherche pour le Développement, UMR DIADE, , Université de Montpellier, ; Montpellier, France
                [11 ]GRID grid.11486.3a, ISNI 0000000104788040, VIB Center for Plant Systems Biology, ; 9052 Gent, Belgium
                [12 ]Centro de Bioinformática y biología computacional de Colombia – BIOS, Ecoparque los Yarumos, Manizales, Caldas, Colombia
                [13 ]GRID grid.8591.5, ISNI 0000 0001 2322 4988, Present Address: University of Geneva, CMU-Décanat, ; 1 Rue Michel Servet, 1211 Geneva 4, Switzerland
                Article
                87419
                10.1038/s41598-021-87419-0
                8046976
                33854089
                38d4d2d4-9118-4a34-a4e2-3089cdcb1012
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 9 November 2020
                : 23 March 2021
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                © The Author(s) 2021

                Uncategorized
                comparative genomics,genome evolution,plant genetics
                Uncategorized
                comparative genomics, genome evolution, plant genetics

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