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      Comparative genomics of the medicinal plants Lonicera macranthoides and L. japonica provides insight into genus genome evolution and hederagenin‐based saponin biosynthesis

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          Summary

          Lonicera macranthoides (LM) and L. japonica (LJ) are medicinal plants widely used in treating viral diseases, such as COVID‐19. Although the two species are morphologically similar, their secondary metabolite profiles are significantly different. Here, metabolomics analysis showed that LM contained ~86.01 mg/g hederagenin‐based saponins, 2000‐fold higher than LJ. To gain molecular insights into its secondary metabolite production, a chromosome‐level genome of LM was constructed, comprising 9 pseudo‐chromosomes with 40 097 protein‐encoding genes. Genome evolution analysis showed that LM and LJ were diverged 1.30–2.27 million years ago (MYA). The two plant species experienced a common whole‐genome duplication event that occurred ∼53.9–55.2 MYA before speciation. Genes involved in hederagenin‐based saponin biosynthesis were arranged in clusters on the chromosomes of LM and they were more highly expressed in LM than in LJ. Among them, oleanolic acid synthase ( OAS) and UDP‐glycosyltransferase 73 ( UGT73) families were much more highly expressed in LM than in LJ. Specifically, LmOAS1 was identified to effectively catalyse the C‐28 oxidation of β‐Amyrin to form oleanolic acid, the precursor of hederagenin‐based saponin. LmUGT73P1 was identified to catalyse cauloside A to produce α‐hederin. We further identified the key amino acid residues of LmOAS1 and LmUGT73P1 for their enzymatic activities. Additionally, comparing with collinear genes in LJ, LmOAS1 and LmUGT73P1 had an interesting phenomenon of ‘neighbourhood replication’ in LM genome. Collectively, the genomic resource and candidate genes reported here set the foundation to fully reveal the genome evolution of the Lonicera genus and hederagenin‐based saponin biosynthetic pathway.

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          Most cited references66

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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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            BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs.

            Genomics has revolutionized biological research, but quality assessment of the resulting assembled sequences is complicated and remains mostly limited to technical measures like N50.
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              AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility.

              We describe the testing and release of AutoDock4 and the accompanying graphical user interface AutoDockTools. AutoDock4 incorporates limited flexibility in the receptor. Several tests are reported here, including a redocking experiment with 188 diverse ligand-protein complexes and a cross-docking experiment using flexible sidechains in 87 HIV protease complexes. We also report its utility in analysis of covalently bound ligands, using both a grid-based docking method and a modification of the flexible sidechain technique. (c) 2009 Wiley Periodicals, Inc.
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                Author and article information

                Contributors
                son.tran@ttu.edu
                luis.herrera-estrella@ttu.edu
                luxu666@163.com
                qilw@cpu.edu.cn
                Journal
                Plant Biotechnol J
                Plant Biotechnol J
                10.1111/(ISSN)1467-7652
                PBI
                Plant Biotechnology Journal
                John Wiley and Sons Inc. (Hoboken )
                1467-7644
                1467-7652
                14 July 2023
                November 2023
                : 21
                : 11 ( doiID: 10.1111/pbi.v21.11 )
                : 2209-2223
                Affiliations
                [ 1 ] Clinical Metabolomics Center, School of Traditional Chinese Pharmacy China Pharmaceutical University Nanjing China
                [ 2 ] Key Laboratory of Soybean Molecular Design Breeding Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences Changchun China
                [ 3 ] The Institute of Bioinformatics, College of Life Sciences Anhui Normal University Wuhu China
                [ 4 ] Provincial Key Laboratory of Agrobiology Jiangsu Academy of Agricultural Science Nanjing China
                [ 5 ] Institute of Genomics for Crop Abiotic Stress Tolerance, Department of Plant and Soil Science, Texas Tech University Lubbock TX USA
                [ 6 ] Laboratorio Nacional de Genomica/ Unidad de Genómica Avanzada del Centro de Investigación y de Estudios Avanzados del IPN Irapuato Mexico
                Author notes
                [*] [* ] Correspondence (Tel +86 15951088310; fax: +86 025 86185135; email qilw@ 123456cpu.edu.cn (L‐W.Q.); Tel +86 15996485561; fax: +86 025  86185135; email luxu666@ 123456163.com (X.L.); Tel +1‐806‐834‐7247 fax: +1‐806‐742‐4521; email luis.herrera-estrella@ 123456ttu.edu (L.H‐E.); Tel +1‐806‐834‐7829; fax: +1‐806‐742‐4521; email son.tran@ 123456ttu.edu (L‐SP.T.))
                [ † ]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0001-5919-0740
                https://orcid.org/0000-0002-2726-0430
                Article
                PBI14123 PBI-00102-2023.R1
                10.1111/pbi.14123
                10579715
                37449344
                3315bece-c1ec-4bc5-8ca0-c377658e6715
                © 2023 The Authors. Plant Biotechnology Journal published by Society for Experimental Biology and The Association of Applied Biologists and John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 29 May 2023
                : 27 January 2023
                : 29 June 2023
                Page count
                Figures: 5, Tables: 1, Pages: 2223, Words: 13995
                Funding
                Funded by: National Key R&D Program of China
                Award ID: 2019YFC1711000
                Funded by: National Natural Science Foundation of China , doi 10.13039/501100001809;
                Award ID: 81825023
                Award ID: 82173918
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                November 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.4 mode:remove_FC converted:17.10.2023

                Biotechnology
                caprifoliaceae (honeysuckle),chromosome‐level genome,hederagenin‐based saponins,lonicere macranthoides,oleanolic acid synthase,udp‐glycosyltransferase 73p1

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