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      The genome of Dioscorea zingiberensis sheds light on the biosynthesis, origin and evolution of the medicinally important diosgenin saponins

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          Abstract

          Diosgenin saponins isolated from Dioscorea species such as D. zingiberensis exhibit a broad spectrum of pharmacological activities. Diosgenin, the aglycone of diosgenin saponins, is an important starting material for the production of steroidal drugs. However, how plants produce diosgenin saponins and the origin and evolution of the diosgenin saponin biosynthetic pathway remain a mystery. Here we report a high-quality, 629-Mb genome of D. zingiberensis anchored on 10 chromosomes with 30 322 protein-coding genes. We reveal that diosgenin is synthesized in leaves (‘source’), then converted into diosgenin saponins, and finally transported to rhizomes (‘sink’) for storage in plants. By evaluating the distribution and evolutionary patterns of diosgenin saponins in Dioscorea species, we find that diosgenin saponin-containing may be an ancestral trait in Dioscorea and is selectively retained. The results of comparative genomic analysis indicate that tandem duplication coupled with a whole-genome duplication event provided key evolutionary resources for the diosgenin saponin biosynthetic pathway in the D. zingiberensis genome. Furthermore, comparative transcriptome and metabolite analysis among 13 Dioscorea species suggests that specific gene expression patterns of pathway genes promote the differential evolution of the diosgenin saponin biosynthetic pathway in Dioscorea species. Our study provides important insights and valuable resources for further understanding the biosynthesis, evolution, and utilization of plant specialized metabolites such as diosgenin saponins.

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          STAR: ultrafast universal RNA-seq aligner.

          Accurate alignment of high-throughput RNA-seq data is a challenging and yet unsolved problem because of the non-contiguous transcript structure, relatively short read lengths and constantly increasing throughput of the sequencing technologies. Currently available RNA-seq aligners suffer from high mapping error rates, low mapping speed, read length limitation and mapping biases. To align our large (>80 billon reads) ENCODE Transcriptome RNA-seq dataset, we developed the Spliced Transcripts Alignment to a Reference (STAR) software based on a previously undescribed RNA-seq alignment algorithm that uses sequential maximum mappable seed search in uncompressed suffix arrays followed by seed clustering and stitching procedure. STAR outperforms other aligners by a factor of >50 in mapping speed, aligning to the human genome 550 million 2 × 76 bp paired-end reads per hour on a modest 12-core server, while at the same time improving alignment sensitivity and precision. In addition to unbiased de novo detection of canonical junctions, STAR can discover non-canonical splices and chimeric (fusion) transcripts, and is also capable of mapping full-length RNA sequences. Using Roche 454 sequencing of reverse transcription polymerase chain reaction amplicons, we experimentally validated 1960 novel intergenic splice junctions with an 80-90% success rate, corroborating the high precision of the STAR mapping strategy. STAR is implemented as a standalone C++ code. STAR is free open source software distributed under GPLv3 license and can be downloaded from http://code.google.com/p/rna-star/.
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            RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies

            Motivation: Phylogenies are increasingly used in all fields of medical and biological research. Moreover, because of the next-generation sequencing revolution, datasets used for conducting phylogenetic analyses grow at an unprecedented pace. RAxML (Randomized Axelerated Maximum Likelihood) is a popular program for phylogenetic analyses of large datasets under maximum likelihood. Since the last RAxML paper in 2006, it has been continuously maintained and extended to accommodate the increasingly growing input datasets and to serve the needs of the user community. Results: I present some of the most notable new features and extensions of RAxML, such as a substantial extension of substitution models and supported data types, the introduction of SSE3, AVX and AVX2 vector intrinsics, techniques for reducing the memory requirements of the code and a plethora of operations for conducting post-analyses on sets of trees. In addition, an up-to-date 50-page user manual covering all new RAxML options is available. Availability and implementation: The code is available under GNU GPL at https://github.com/stamatak/standard-RAxML. Contact: alexandros.stamatakis@h-its.org Supplementary information: Supplementary data are available at Bioinformatics online.
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              HTSeq—a Python framework to work with high-throughput sequencing data

              Motivation: A large choice of tools exists for many standard tasks in the analysis of high-throughput sequencing (HTS) data. However, once a project deviates from standard workflows, custom scripts are needed. Results: We present HTSeq, a Python library to facilitate the rapid development of such scripts. HTSeq offers parsers for many common data formats in HTS projects, as well as classes to represent data, such as genomic coordinates, sequences, sequencing reads, alignments, gene model information and variant calls, and provides data structures that allow for querying via genomic coordinates. We also present htseq-count, a tool developed with HTSeq that preprocesses RNA-Seq data for differential expression analysis by counting the overlap of reads with genes. Availability and implementation: HTSeq is released as an open-source software under the GNU General Public Licence and available from http://www-huber.embl.de/HTSeq or from the Python Package Index at https://pypi.python.org/pypi/HTSeq. Contact: sanders@fs.tum.de
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                Author and article information

                Contributors
                Journal
                Hortic Res
                Hortic Res
                hr
                Horticulture Research
                Oxford University Press
                2662-6810
                2052-7276
                2022
                25 July 2022
                25 July 2022
                : 9
                : uhac165
                Affiliations
                State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University , Wuhan, 430072, China
                State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University , Wuhan, 430072, China
                State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University , Wuhan, 430072, China
                State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University , Wuhan, 430072, China
                State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University , Wuhan, 430072, China
                State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University , Wuhan, 430072, China
                State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University , Wuhan, 430072, China
                State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University , Wuhan, 430072, China
                State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University , Wuhan, 430072, China
                State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University , Wuhan, 430072, China
                State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University , Wuhan, 430072, China
                State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University , Wuhan, 430072, China
                State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University , Wuhan, 430072, China
                State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University , Wuhan, 430072, China
                State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University , Wuhan, 430072, China
                State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University , Wuhan, 430072, China
                Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University , Wuhan, 430070, China
                College of Life Science and Technology, Guangxi University , Nanning, 530004, China
                Grandomics Biosciences , Beijing 102200, China
                Grandomics Biosciences , Beijing 102200, China
                Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences , Menglun, 666303, China
                CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, CAS Center for Excellence in Molecular Plant Sciences, Xishuangbanna Tropical Botanical Garden , Kunming, 650223, China
                Henry Fok College of Biology and Agriculture, Shaoguan University , Shaoguan, 512005, China
                Henry Fok College of Biology and Agriculture, Shaoguan University , Shaoguan, 512005, China
                Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences , Beijing, 100093, China
                Institute of Biological Chemistry , Washington State University, Pullman, WA, 99164, USA
                Department of Botany, National Museum of Natural History, Smithsonian Institution , Washington, DC, 20013-7012, USA
                State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University , Wuhan, 430072, China
                Author notes
                Corresponding author. E-mail: jrli@ 123456whu.edu.cn
                Article
                uhac165
                10.1093/hr/uhac165
                9531337
                36204203
                3698e36a-9eb6-48e5-8905-fbf3e118c7db
                © The Author(s) 2022. Published by Oxford University Press on behalf of Nanjing Agricultural University

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 11 March 2022
                : 18 July 2022
                : 01 October 2022
                Page count
                Pages: 16
                Categories
                Article
                AcademicSubjects/SCI01210
                AcademicSubjects/SCI01140

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