Genomic sequencing, genome-scale metabolic network reconstruction, and in silico flux analysis of the grape endophytic fungus Alternaria sp. MG1 View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Yao Lu, Chao Ye, Jinxin Che, Xiaoguang Xu, Dongyan Shao, Chunmei Jiang, Yanlin Liu, Junling Shi

ABSTRACT

BACKGROUND: Alternaria sp. MG1, an endophytic fungus isolated from grape, is a native producer of resveratrol, which has important application potential. However, the metabolic characteristics and physiological behavior of MG1 still remains mostly unraveled. In addition, the resveratrol production of the strain is low. Thus, the whole-genome sequencing is highly required for elucidating the resveratrol biosynthesis pathway. Furthermore, the metabolic network model of MG1 was constructed to provide a computational guided approach for improving the yield of resveratrol. RESULTS: Firstly, a draft genomic sequence of MG1 was generated with a size of 34.7 Mbp and a GC content of 50.96%. Genome annotation indicated that MG1 possessed complete biosynthesis pathways for stilbenoids, flavonoids, and lignins. Eight secondary metabolites involved in these pathways were detected by GC-MS analysis, confirming the metabolic diversity of MG1. Furthermore, the first genome-scale metabolic network of Alternaria sp. MG1 (named iYL1539) was reconstructed, accounting for 1539 genes, 2231 metabolites, and 2255 reactions. The model was validated qualitatively and quantitatively by comparing the in silico simulation with experimental data, and the results showed a high consistency. In iYL1539, 56 genes were identified as growth essential in rich medium. According to constraint-based analysis, the importance of cofactors for the resveratrol biosynthesis was successfully demonstrated. Ethanol addition was predicted in silico to be an effective method to improve resveratrol production by strengthening acetyl-CoA synthesis and pentose phosphate pathway, and was verified experimentally with a 26.31% increase of resveratrol. Finally, 6 genes were identified as potential targets for resveratrol over-production by the recently developed methodology. The target-genes were validated using salicylic acid as elicitor, leading to an increase of resveratrol yield by 33.32% and the expression of gene 4CL and CHS by 1.8- and 1.6-fold, respectively. CONCLUSIONS: This study details the diverse capability and key genes of Alternaria sp. MG1 to produce multiple secondary metabolites. The first model of the species Alternaria was constructed, providing an overall understanding of the physiological behavior and metabolic characteristics of MG1. The model is a highly useful tool for enhancing productivity by rational design of the metabolic pathway for resveratrol and other secondary metabolites. More... »

PAGES

13

References to SciGraph publications

  • 2013-12. Mapping condition-dependent regulation of metabolism in yeast through genome-scale modeling in BMC SYSTEMS BIOLOGY
  • 2015-12. Growth-rate dependency of de novo resveratrol production in chemostat cultures of an engineered Saccharomyces cerevisiae strain in MICROBIAL CELL FACTORIES
  • 2018-12. Strategies to enhance the production of pinoresinol and its glucosides by endophytic fungus (Phomopsis sp. XP-8) isolated from Tu-chung bark in AMB EXPRESS
  • 2015-12. Reconstruction and analysis of the genome-scale metabolic model of schizochytrium limacinum SR21 for docosahexaenoic acid production in BMC GENOMICS
  • 2012-03. Exudation: an expanding technique for continuous production and release of secondary metabolites from plant cell suspension and hairy root cultures in PLANT CELL REPORTS
  • 2016-12. Genome Sequencing of the Pyruvate-producing Strain Candida glabrata CCTCC M202019 and Genomic Comparison with Strain CBS138 in SCIENTIFIC REPORTS
  • 2015-04-06. Resveratrol activates duodenal Sirt1 to reverse insulin resistance in rats through a neuronal network in NATURE MEDICINE
  • 2014-05. Optimizing genome-scale network reconstructions in NATURE BIOTECHNOLOGY
  • 2012-12. Influence of pH and carbon to nitrogen ratio on mycotoxin production by Alternaria alternata in submerged cultivation in AMB EXPRESS
  • 2016-07-22. Metabolic modelling reveals the specialization of secondary replicons for niche adaptation in Sinorhizobium meliloti in NATURE COMMUNICATIONS
  • 2016-12. Validation of reference genes for normalization of gene expression by qRT-PCR in a resveratrol-producing entophytic fungus (Alternaria sp. MG1) in AMB EXPRESS
  • 2015-07. Effects of ultraviolet C, methyl jasmonate and salicylic acid, alone or in combination, on stilbene biosynthesis in cell suspension cultures of Vitis vinifera L. cv. Cabernet Sauvignon in PLANT CELL, TISSUE AND ORGAN CULTURE (PCTOC)
  • 1996-11. δ-(L-α-Aminoadipyl)-L-cysteinyl-D-valine synthetase is a rate limiting enzyme for penicillin production in Aspergillusnidulans in MOLECULAR GENETICS AND GENOMICS
  • 2008-06. The growing scope of applications of genome-scale metabolic reconstructions using Escherichia coli in NATURE BIOTECHNOLOGY
  • 2012-07. Alternaria sp. MG1, a resveratrol-producing fungus: isolation, identification, and optimal cultivation conditions for resveratrol production in APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
  • 2017-12. IMGMD: A platform for the integration and standardisation of In silico Microbial Genome-scale Metabolic Models in SCIENTIFIC REPORTS
  • 2017-12. Reconstruction of a Genome-scale Metabolic Network of Komagataeibacter nataicola RZS01 for Cellulose Production in SCIENTIFIC REPORTS
  • 2018-08. Taxifolin prevents β-amyloid-induced impairments of synaptic formation and deficits of memory via the inhibition of cytosolic phospholipase A2/prostaglandin E2 content in METABOLIC BRAIN DISEASE
  • 2016-12. The citrus flavonoid naringenin confers protection in a murine endotoxaemia model through AMPK-ATF3-dependent negative regulation of the TLR4 signalling pathway in SCIENTIFIC REPORTS
  • 2016-09. Strategies for enhancing resveratrol production and the expression of pathway enzymes in APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
  • 2016-05. Resveratrol directly targets DDX5 resulting in suppression of the mTORC1 pathway in prostate cancer in CELL DEATH & DISEASE
  • 2013-12. Substrates and enzyme activities related to biotransformation of resveratrol from phenylalanine by Alternaria sp. MG1 in APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
  • 2013-09. The wheat powdery mildew genome shows the unique evolution of an obligate biotroph in NATURE GENETICS
  • 2015-12. Reconstruction and analysis of a genome-scale metabolic model of the oleaginous fungus Mortierella alpina in BMC SYSTEMS BIOLOGY
  • 2018-04. Protective effect of dietary polyphenol caffeic acid on ethylene glycol-induced kidney stones in rats in UROLITHIASIS
  • 2018-03. Protective Role Of Naringenin Against Aβ25-35-Caused Damage via ER and PI3K/Akt-Mediated Pathways in CELLULAR AND MOLECULAR NEUROBIOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s12934-019-1063-7

    DOI

    http://dx.doi.org/10.1186/s12934-019-1063-7

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1111649719

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30678677


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Genetics", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biological Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Northwestern Polytechnical University", 
              "id": "https://www.grid.ac/institutes/grid.440588.5", 
              "name": [
                "Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, 127 Youyi West Road, 710072, Xi\u2019an, Shaanxi, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lu", 
            "givenName": "Yao", 
            "id": "sg:person.011305120335.06", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011305120335.06"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Jiangnan University", 
              "id": "https://www.grid.ac/institutes/grid.258151.a", 
              "name": [
                "State Key Laboratory of Food Science and Technology, Jiangnan University, 1800 Lihu Road, 214122, Wuxi, Jiangsu, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ye", 
            "givenName": "Chao", 
            "id": "sg:person.012124015263.25", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012124015263.25"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Xiangtan University", 
              "id": "https://www.grid.ac/institutes/grid.412982.4", 
              "name": [
                "Department of Biological and Food Engineering, College of Chemical Engineering, Xiangtan University, 411105, Xiangtan, Hunan, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Che", 
            "givenName": "Jinxin", 
            "id": "sg:person.01366213643.16", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01366213643.16"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Northwestern Polytechnical University", 
              "id": "https://www.grid.ac/institutes/grid.440588.5", 
              "name": [
                "Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, 127 Youyi West Road, 710072, Xi\u2019an, Shaanxi, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Xu", 
            "givenName": "Xiaoguang", 
            "id": "sg:person.011014616531.04", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011014616531.04"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Northwestern Polytechnical University", 
              "id": "https://www.grid.ac/institutes/grid.440588.5", 
              "name": [
                "Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, 127 Youyi West Road, 710072, Xi\u2019an, Shaanxi, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Shao", 
            "givenName": "Dongyan", 
            "id": "sg:person.01044642550.57", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01044642550.57"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Northwestern Polytechnical University", 
              "id": "https://www.grid.ac/institutes/grid.440588.5", 
              "name": [
                "Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, 127 Youyi West Road, 710072, Xi\u2019an, Shaanxi, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Jiang", 
            "givenName": "Chunmei", 
            "id": "sg:person.07656512663.51", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07656512663.51"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "North West Agriculture and Forestry University", 
              "id": "https://www.grid.ac/institutes/grid.144022.1", 
              "name": [
                "College of Enology, Northwest A&F University, 22 Xinong Road, 712100, Yangling, Shaanxi, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Liu", 
            "givenName": "Yanlin", 
            "id": "sg:person.01100303752.25", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01100303752.25"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Northwestern Polytechnical University", 
              "id": "https://www.grid.ac/institutes/grid.440588.5", 
              "name": [
                "Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, 127 Youyi West Road, 710072, Xi\u2019an, Shaanxi, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Shi", 
            "givenName": "Junling", 
            "id": "sg:person.01227204350.15", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01227204350.15"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1371/journal.pone.0115682", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002381949"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0014-5793(99)01403-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002595664"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0958-1669(00)00192-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005602147"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep39735", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007996864", 
              "https://doi.org/10.1038/srep39735"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1039/c3mb70090a", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008450907"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/09168451.2014.921551", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008594522"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/aem.02186-10", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008967204"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3389/fmicb.2015.00632", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008974145"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12934-015-0321-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009173685", 
              "https://doi.org/10.1186/s12934-015-0321-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/1462-2920.12513", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009236480"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3389/fmicb.2016.01257", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009595471"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tibtech.2005.06.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010562589"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tibtech.2005.06.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010562589"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.2533483100", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011737197"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11240-015-0761-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011996925", 
              "https://doi.org/10.1007/s11240-015-0761-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.lwt.2015.02.013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013694159"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pcbi.1002980", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014516343"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt1401", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015180730", 
              "https://doi.org/10.1038/nbt1401"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/cddis.2016.114", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015924358", 
              "https://doi.org/10.1038/cddis.2016.114"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/aac.02647-13", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017013484"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0031-9422(02)00545-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017200941"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0031-9422(02)00545-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017200941"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.mrrev.2011.11.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017346341"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkt1103", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020190748"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/biot.200900247", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021817746"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.apr.2016.12.008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022188088"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00253-012-4045-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022252265", 
              "https://doi.org/10.1007/s00253-012-4045-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.biortech.2016.02.118", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022447297"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/bit.25955", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025377674"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.fct.2013.11.013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026008780"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.funeco.2010.11.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027073245"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1006/meth.2001.1262", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027621591"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1006/meth.2001.1262", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027621591"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12918-014-0137-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028023358", 
              "https://doi.org/10.1186/s12918-014-0137-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12918-014-0137-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028023358", 
              "https://doi.org/10.1186/s12918-014-0137-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms12219", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028229040", 
              "https://doi.org/10.1038/ncomms12219"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0061777", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028784199"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/prot.21018", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028987231"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00299-011-1165-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029444030", 
              "https://doi.org/10.1007/s00299-011-1165-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00299-011-1165-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029444030", 
              "https://doi.org/10.1007/s00299-011-1165-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/bit.26195", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031606618"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1038/msb.2009.77", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031913351"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1038/msb.2009.77", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031913351"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1038/msb.2009.77", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031913351"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep34893", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032893022", 
              "https://doi.org/10.1038/srep34893"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.2704", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032897440", 
              "https://doi.org/10.1038/ng.2704"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00253-013-5212-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033849078", 
              "https://doi.org/10.1007/s00253-013-5212-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.biortech.2014.12.106", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033862142"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.plantsci.2009.05.012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034484466"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s004380050312", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034981264", 
              "https://doi.org/10.1007/s004380050312"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s004380050312", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034981264", 
              "https://doi.org/10.1007/s004380050312"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13568-016-0283-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035096327", 
              "https://doi.org/10.1186/s13568-016-0283-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13568-016-0283-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035096327", 
              "https://doi.org/10.1186/s13568-016-0283-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/2191-0855-2-28", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036417253", 
              "https://doi.org/10.1186/2191-0855-2-28"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkh131", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036547327"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3389/fmicb.2013.00003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039638264"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0040-4039(02)02317-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039773390"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0040-4039(02)02317-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039773390"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tetlet.2008.07.087", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040967595"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.2870", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043253046", 
              "https://doi.org/10.1038/nbt.2870"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nm.3821", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044400165", 
              "https://doi.org/10.1038/nm.3821"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1752-0509-7-36", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044727026", 
              "https://doi.org/10.1186/1752-0509-7-36"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cell.2015.05.019", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045577850"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ymben.2015.08.007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045631616"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12864-015-2042-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046750510", 
              "https://doi.org/10.1186/s12864-015-2042-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/0471250953.bi0410s25", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048384970"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkj001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048681044"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.biotechadv.2015.07.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049837348"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1104/pp.105.059337", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050772165"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.074492.107", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051720574"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1039/c1cp20722a", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051940283"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tibtech.2014.03.011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052893238"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/ffj.3173", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053270675"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00253-016-7723-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053744806", 
              "https://doi.org/10.1007/s00253-016-7723-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00253-016-7723-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053744806", 
              "https://doi.org/10.1007/s00253-016-7723-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ac9019522", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055071766"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ac9019522", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055071766"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/jf040095e", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055902202"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/jf040095e", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055902202"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1055/s-2004-832642", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1057437742"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1094/mpmi.2001.14.6.749", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060080417"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1094/phyto-60-903", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060102882"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1099/00221287-5-4-619", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060373418"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4014/jmb.1512.12084", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071873190"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1080940019", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.fgb.2017.03.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084074560"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.plaphy.2017.03.014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084102357"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.synbio.2017.02.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084109978"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jbiotec.2017.04.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084527611"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-017-00820-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084537877", 
              "https://doi.org/10.1038/s41598-017-00820-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.7324/japs.2017.70210", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085249470"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/acs.jafc.7b01567", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085616394"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00240-017-0982-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1086035950", 
              "https://doi.org/10.1007/s00240-017-0982-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00240-017-0982-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1086035950", 
              "https://doi.org/10.1007/s00240-017-0982-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10571-017-0519-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1090602087", 
              "https://doi.org/10.1007/s10571-017-0519-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10571-017-0519-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1090602087", 
              "https://doi.org/10.1007/s10571-017-0519-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-017-06918-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091090303", 
              "https://doi.org/10.1038/s41598-017-06918-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-017-06918-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091090303", 
              "https://doi.org/10.1038/s41598-017-06918-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.advms.2017.07.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091249019"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/acs.bioconjchem.8b00050", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101533372"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/acs.bioconjchem.8b00050", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101533372"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11011-018-0207-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101533643", 
              "https://doi.org/10.1007/s11011-018-0207-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11011-018-0207-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101533643", 
              "https://doi.org/10.1007/s11011-018-0207-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11011-018-0207-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101533643", 
              "https://doi.org/10.1007/s11011-018-0207-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11011-018-0207-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101533643", 
              "https://doi.org/10.1007/s11011-018-0207-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11011-018-0207-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101533643", 
              "https://doi.org/10.1007/s11011-018-0207-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13568-018-0584-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103277158", 
              "https://doi.org/10.1186/s13568-018-0584-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13568-018-0584-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103277158", 
              "https://doi.org/10.1186/s13568-018-0584-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/00275514.1970.12018967", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1106954132"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-12", 
        "datePublishedReg": "2019-12-01", 
        "description": "BACKGROUND: Alternaria sp. MG1, an endophytic fungus isolated from grape, is a native producer of resveratrol, which has important application potential. However, the metabolic characteristics and physiological behavior of MG1 still remains mostly unraveled. In addition, the resveratrol production of the strain is low. Thus, the whole-genome sequencing is highly required for elucidating the resveratrol biosynthesis pathway. Furthermore, the metabolic network model of MG1 was constructed to provide a computational guided approach for improving the yield of resveratrol.\nRESULTS: Firstly, a draft genomic sequence of MG1 was generated with a size of 34.7\u00a0Mbp and a GC content of 50.96%. Genome annotation indicated that MG1 possessed complete biosynthesis pathways for stilbenoids, flavonoids, and lignins. Eight secondary metabolites involved in these pathways were detected by GC-MS analysis, confirming the metabolic diversity of MG1. Furthermore, the first genome-scale metabolic network of Alternaria sp. MG1 (named iYL1539) was reconstructed, accounting for 1539 genes, 2231 metabolites, and 2255 reactions. The model was validated qualitatively and quantitatively by comparing the in silico simulation with experimental data, and the results showed a high consistency. In iYL1539, 56 genes were identified as growth essential in rich medium. According to constraint-based analysis, the importance of cofactors for the resveratrol biosynthesis was successfully demonstrated. Ethanol addition was predicted in silico to be an effective method to improve resveratrol production by strengthening acetyl-CoA synthesis and pentose phosphate pathway, and was verified experimentally with a 26.31% increase of resveratrol. Finally, 6 genes were identified as potential targets for resveratrol over-production by the recently developed methodology. The target-genes were validated using salicylic acid as elicitor, leading to an increase of resveratrol yield by 33.32% and the expression of gene 4CL and CHS by 1.8- and 1.6-fold, respectively.\nCONCLUSIONS: This study details the diverse capability and key genes of Alternaria sp. MG1 to produce multiple secondary metabolites. The first model of the species Alternaria was constructed, providing an overall understanding of the physiological behavior and metabolic characteristics of MG1. The model is a highly useful tool for enhancing productivity by rational design of the metabolic pathway for resveratrol and other secondary metabolites.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1186/s12934-019-1063-7", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1030599", 
            "issn": [
              "1475-2859"
            ], 
            "name": "Microbial Cell Factories", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "18"
          }
        ], 
        "name": "Genomic sequencing, genome-scale metabolic network reconstruction, and in silico flux analysis of the grape endophytic fungus Alternaria sp. MG1", 
        "pagination": "13", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "c505cd3d7981d421687c186aef174acf3b91e05b1fccd559d9ca2bb1889a22be"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "30678677"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "101139812"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/s12934-019-1063-7"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1111649719"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/s12934-019-1063-7", 
          "https://app.dimensions.ai/details/publication/pub.1111649719"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T08:58", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000326_0000000326/records_68472_00000000.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1186%2Fs12934-019-1063-7"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12934-019-1063-7'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12934-019-1063-7'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12934-019-1063-7'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12934-019-1063-7'


     

    This table displays all metadata directly associated to this object as RDF triples.

    412 TRIPLES      21 PREDICATES      116 URIs      21 LITERALS      9 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/s12934-019-1063-7 schema:about anzsrc-for:06
    2 anzsrc-for:0604
    3 schema:author N466bdf2287094e4dbf9be9a3888628f6
    4 schema:citation sg:pub.10.1007/s00240-017-0982-1
    5 sg:pub.10.1007/s00253-012-4045-9
    6 sg:pub.10.1007/s00253-013-5212-3
    7 sg:pub.10.1007/s00253-016-7723-1
    8 sg:pub.10.1007/s00299-011-1165-0
    9 sg:pub.10.1007/s004380050312
    10 sg:pub.10.1007/s10571-017-0519-8
    11 sg:pub.10.1007/s11011-018-0207-5
    12 sg:pub.10.1007/s11240-015-0761-z
    13 sg:pub.10.1038/cddis.2016.114
    14 sg:pub.10.1038/nbt.2870
    15 sg:pub.10.1038/nbt1401
    16 sg:pub.10.1038/ncomms12219
    17 sg:pub.10.1038/ng.2704
    18 sg:pub.10.1038/nm.3821
    19 sg:pub.10.1038/s41598-017-00820-6
    20 sg:pub.10.1038/s41598-017-06918-1
    21 sg:pub.10.1038/srep34893
    22 sg:pub.10.1038/srep39735
    23 sg:pub.10.1186/1752-0509-7-36
    24 sg:pub.10.1186/2191-0855-2-28
    25 sg:pub.10.1186/s12864-015-2042-y
    26 sg:pub.10.1186/s12918-014-0137-8
    27 sg:pub.10.1186/s12934-015-0321-6
    28 sg:pub.10.1186/s13568-016-0283-z
    29 sg:pub.10.1186/s13568-018-0584-5
    30 https://app.dimensions.ai/details/publication/pub.1080940019
    31 https://doi.org/10.1002/0471250953.bi0410s25
    32 https://doi.org/10.1002/biot.200900247
    33 https://doi.org/10.1002/bit.25955
    34 https://doi.org/10.1002/bit.26195
    35 https://doi.org/10.1002/ffj.3173
    36 https://doi.org/10.1002/prot.21018
    37 https://doi.org/10.1006/meth.2001.1262
    38 https://doi.org/10.1016/j.advms.2017.07.003
    39 https://doi.org/10.1016/j.apr.2016.12.008
    40 https://doi.org/10.1016/j.biortech.2014.12.106
    41 https://doi.org/10.1016/j.biortech.2016.02.118
    42 https://doi.org/10.1016/j.biotechadv.2015.07.004
    43 https://doi.org/10.1016/j.cell.2015.05.019
    44 https://doi.org/10.1016/j.fct.2013.11.013
    45 https://doi.org/10.1016/j.fgb.2017.03.001
    46 https://doi.org/10.1016/j.funeco.2010.11.002
    47 https://doi.org/10.1016/j.jbiotec.2017.04.004
    48 https://doi.org/10.1016/j.lwt.2015.02.013
    49 https://doi.org/10.1016/j.mrrev.2011.11.001
    50 https://doi.org/10.1016/j.plantsci.2009.05.012
    51 https://doi.org/10.1016/j.plaphy.2017.03.014
    52 https://doi.org/10.1016/j.synbio.2017.02.002
    53 https://doi.org/10.1016/j.tetlet.2008.07.087
    54 https://doi.org/10.1016/j.tibtech.2005.06.002
    55 https://doi.org/10.1016/j.tibtech.2014.03.011
    56 https://doi.org/10.1016/j.ymben.2015.08.007
    57 https://doi.org/10.1016/s0014-5793(99)01403-9
    58 https://doi.org/10.1016/s0031-9422(02)00545-9
    59 https://doi.org/10.1016/s0040-4039(02)02317-1
    60 https://doi.org/10.1016/s0958-1669(00)00192-0
    61 https://doi.org/10.1021/ac9019522
    62 https://doi.org/10.1021/acs.bioconjchem.8b00050
    63 https://doi.org/10.1021/acs.jafc.7b01567
    64 https://doi.org/10.1021/jf040095e
    65 https://doi.org/10.1038/msb.2009.77
    66 https://doi.org/10.1039/c1cp20722a
    67 https://doi.org/10.1039/c3mb70090a
    68 https://doi.org/10.1055/s-2004-832642
    69 https://doi.org/10.1073/pnas.2533483100
    70 https://doi.org/10.1080/00275514.1970.12018967
    71 https://doi.org/10.1080/09168451.2014.921551
    72 https://doi.org/10.1093/nar/gkh131
    73 https://doi.org/10.1093/nar/gkj001
    74 https://doi.org/10.1093/nar/gkt1103
    75 https://doi.org/10.1094/mpmi.2001.14.6.749
    76 https://doi.org/10.1094/phyto-60-903
    77 https://doi.org/10.1099/00221287-5-4-619
    78 https://doi.org/10.1101/gr.074492.107
    79 https://doi.org/10.1104/pp.105.059337
    80 https://doi.org/10.1111/1462-2920.12513
    81 https://doi.org/10.1128/aac.02647-13
    82 https://doi.org/10.1128/aem.02186-10
    83 https://doi.org/10.1371/journal.pcbi.1002980
    84 https://doi.org/10.1371/journal.pone.0061777
    85 https://doi.org/10.1371/journal.pone.0115682
    86 https://doi.org/10.3389/fmicb.2013.00003
    87 https://doi.org/10.3389/fmicb.2015.00632
    88 https://doi.org/10.3389/fmicb.2016.01257
    89 https://doi.org/10.4014/jmb.1512.12084
    90 https://doi.org/10.7324/japs.2017.70210
    91 schema:datePublished 2019-12
    92 schema:datePublishedReg 2019-12-01
    93 schema:description BACKGROUND: Alternaria sp. MG1, an endophytic fungus isolated from grape, is a native producer of resveratrol, which has important application potential. However, the metabolic characteristics and physiological behavior of MG1 still remains mostly unraveled. In addition, the resveratrol production of the strain is low. Thus, the whole-genome sequencing is highly required for elucidating the resveratrol biosynthesis pathway. Furthermore, the metabolic network model of MG1 was constructed to provide a computational guided approach for improving the yield of resveratrol. RESULTS: Firstly, a draft genomic sequence of MG1 was generated with a size of 34.7 Mbp and a GC content of 50.96%. Genome annotation indicated that MG1 possessed complete biosynthesis pathways for stilbenoids, flavonoids, and lignins. Eight secondary metabolites involved in these pathways were detected by GC-MS analysis, confirming the metabolic diversity of MG1. Furthermore, the first genome-scale metabolic network of Alternaria sp. MG1 (named iYL1539) was reconstructed, accounting for 1539 genes, 2231 metabolites, and 2255 reactions. The model was validated qualitatively and quantitatively by comparing the in silico simulation with experimental data, and the results showed a high consistency. In iYL1539, 56 genes were identified as growth essential in rich medium. According to constraint-based analysis, the importance of cofactors for the resveratrol biosynthesis was successfully demonstrated. Ethanol addition was predicted in silico to be an effective method to improve resveratrol production by strengthening acetyl-CoA synthesis and pentose phosphate pathway, and was verified experimentally with a 26.31% increase of resveratrol. Finally, 6 genes were identified as potential targets for resveratrol over-production by the recently developed methodology. The target-genes were validated using salicylic acid as elicitor, leading to an increase of resveratrol yield by 33.32% and the expression of gene 4CL and CHS by 1.8- and 1.6-fold, respectively. CONCLUSIONS: This study details the diverse capability and key genes of Alternaria sp. MG1 to produce multiple secondary metabolites. The first model of the species Alternaria was constructed, providing an overall understanding of the physiological behavior and metabolic characteristics of MG1. The model is a highly useful tool for enhancing productivity by rational design of the metabolic pathway for resveratrol and other secondary metabolites.
    94 schema:genre research_article
    95 schema:inLanguage en
    96 schema:isAccessibleForFree true
    97 schema:isPartOf N4ac306476c914f91b28679d896cac23a
    98 N753b63b8091c44c6b4c201f7ceb0fd0e
    99 sg:journal.1030599
    100 schema:name Genomic sequencing, genome-scale metabolic network reconstruction, and in silico flux analysis of the grape endophytic fungus Alternaria sp. MG1
    101 schema:pagination 13
    102 schema:productId N816c7355cc5949e6ad159e2f96a9c6e3
    103 N98eb1ed9d8d54e3db9b5bc25bedabc83
    104 N9e2374612337414d80f798845e0fc267
    105 Nc9eb066dd4cc446ea0a5066438c861b9
    106 Ndfa4c396e0284b1ca17e939c5d531d58
    107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111649719
    108 https://doi.org/10.1186/s12934-019-1063-7
    109 schema:sdDatePublished 2019-04-11T08:58
    110 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    111 schema:sdPublisher N34618b6c50cd49a69b85cb947b8e497b
    112 schema:url https://link.springer.com/10.1186%2Fs12934-019-1063-7
    113 sgo:license sg:explorer/license/
    114 sgo:sdDataset articles
    115 rdf:type schema:ScholarlyArticle
    116 N097d5b731d024be3946903b7964f00cf rdf:first sg:person.01366213643.16
    117 rdf:rest N856f39bd5ce3496290d34cdc3576b497
    118 N13bb78886d6546b3977952c0852b725b rdf:first sg:person.01044642550.57
    119 rdf:rest N37a7dd112e1d485fb421586b70698cd3
    120 N1e5b4eab6bc140f9bad476209941b506 rdf:first sg:person.012124015263.25
    121 rdf:rest N097d5b731d024be3946903b7964f00cf
    122 N34618b6c50cd49a69b85cb947b8e497b schema:name Springer Nature - SN SciGraph project
    123 rdf:type schema:Organization
    124 N3577f869e80d467fb1d54edf3b9e8cf0 rdf:first sg:person.01227204350.15
    125 rdf:rest rdf:nil
    126 N37a7dd112e1d485fb421586b70698cd3 rdf:first sg:person.07656512663.51
    127 rdf:rest N7ec065582191471b9f1c4e0dd5b91e61
    128 N466bdf2287094e4dbf9be9a3888628f6 rdf:first sg:person.011305120335.06
    129 rdf:rest N1e5b4eab6bc140f9bad476209941b506
    130 N4ac306476c914f91b28679d896cac23a schema:issueNumber 1
    131 rdf:type schema:PublicationIssue
    132 N753b63b8091c44c6b4c201f7ceb0fd0e schema:volumeNumber 18
    133 rdf:type schema:PublicationVolume
    134 N7ec065582191471b9f1c4e0dd5b91e61 rdf:first sg:person.01100303752.25
    135 rdf:rest N3577f869e80d467fb1d54edf3b9e8cf0
    136 N816c7355cc5949e6ad159e2f96a9c6e3 schema:name readcube_id
    137 schema:value c505cd3d7981d421687c186aef174acf3b91e05b1fccd559d9ca2bb1889a22be
    138 rdf:type schema:PropertyValue
    139 N856f39bd5ce3496290d34cdc3576b497 rdf:first sg:person.011014616531.04
    140 rdf:rest N13bb78886d6546b3977952c0852b725b
    141 N98eb1ed9d8d54e3db9b5bc25bedabc83 schema:name pubmed_id
    142 schema:value 30678677
    143 rdf:type schema:PropertyValue
    144 N9e2374612337414d80f798845e0fc267 schema:name dimensions_id
    145 schema:value pub.1111649719
    146 rdf:type schema:PropertyValue
    147 Nc9eb066dd4cc446ea0a5066438c861b9 schema:name doi
    148 schema:value 10.1186/s12934-019-1063-7
    149 rdf:type schema:PropertyValue
    150 Ndfa4c396e0284b1ca17e939c5d531d58 schema:name nlm_unique_id
    151 schema:value 101139812
    152 rdf:type schema:PropertyValue
    153 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    154 schema:name Biological Sciences
    155 rdf:type schema:DefinedTerm
    156 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    157 schema:name Genetics
    158 rdf:type schema:DefinedTerm
    159 sg:journal.1030599 schema:issn 1475-2859
    160 schema:name Microbial Cell Factories
    161 rdf:type schema:Periodical
    162 sg:person.01044642550.57 schema:affiliation https://www.grid.ac/institutes/grid.440588.5
    163 schema:familyName Shao
    164 schema:givenName Dongyan
    165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01044642550.57
    166 rdf:type schema:Person
    167 sg:person.01100303752.25 schema:affiliation https://www.grid.ac/institutes/grid.144022.1
    168 schema:familyName Liu
    169 schema:givenName Yanlin
    170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01100303752.25
    171 rdf:type schema:Person
    172 sg:person.011014616531.04 schema:affiliation https://www.grid.ac/institutes/grid.440588.5
    173 schema:familyName Xu
    174 schema:givenName Xiaoguang
    175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011014616531.04
    176 rdf:type schema:Person
    177 sg:person.011305120335.06 schema:affiliation https://www.grid.ac/institutes/grid.440588.5
    178 schema:familyName Lu
    179 schema:givenName Yao
    180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011305120335.06
    181 rdf:type schema:Person
    182 sg:person.012124015263.25 schema:affiliation https://www.grid.ac/institutes/grid.258151.a
    183 schema:familyName Ye
    184 schema:givenName Chao
    185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012124015263.25
    186 rdf:type schema:Person
    187 sg:person.01227204350.15 schema:affiliation https://www.grid.ac/institutes/grid.440588.5
    188 schema:familyName Shi
    189 schema:givenName Junling
    190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01227204350.15
    191 rdf:type schema:Person
    192 sg:person.01366213643.16 schema:affiliation https://www.grid.ac/institutes/grid.412982.4
    193 schema:familyName Che
    194 schema:givenName Jinxin
    195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01366213643.16
    196 rdf:type schema:Person
    197 sg:person.07656512663.51 schema:affiliation https://www.grid.ac/institutes/grid.440588.5
    198 schema:familyName Jiang
    199 schema:givenName Chunmei
    200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07656512663.51
    201 rdf:type schema:Person
    202 sg:pub.10.1007/s00240-017-0982-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086035950
    203 https://doi.org/10.1007/s00240-017-0982-1
    204 rdf:type schema:CreativeWork
    205 sg:pub.10.1007/s00253-012-4045-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022252265
    206 https://doi.org/10.1007/s00253-012-4045-9
    207 rdf:type schema:CreativeWork
    208 sg:pub.10.1007/s00253-013-5212-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033849078
    209 https://doi.org/10.1007/s00253-013-5212-3
    210 rdf:type schema:CreativeWork
    211 sg:pub.10.1007/s00253-016-7723-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053744806
    212 https://doi.org/10.1007/s00253-016-7723-1
    213 rdf:type schema:CreativeWork
    214 sg:pub.10.1007/s00299-011-1165-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029444030
    215 https://doi.org/10.1007/s00299-011-1165-0
    216 rdf:type schema:CreativeWork
    217 sg:pub.10.1007/s004380050312 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034981264
    218 https://doi.org/10.1007/s004380050312
    219 rdf:type schema:CreativeWork
    220 sg:pub.10.1007/s10571-017-0519-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090602087
    221 https://doi.org/10.1007/s10571-017-0519-8
    222 rdf:type schema:CreativeWork
    223 sg:pub.10.1007/s11011-018-0207-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101533643
    224 https://doi.org/10.1007/s11011-018-0207-5
    225 rdf:type schema:CreativeWork
    226 sg:pub.10.1007/s11240-015-0761-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1011996925
    227 https://doi.org/10.1007/s11240-015-0761-z
    228 rdf:type schema:CreativeWork
    229 sg:pub.10.1038/cddis.2016.114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015924358
    230 https://doi.org/10.1038/cddis.2016.114
    231 rdf:type schema:CreativeWork
    232 sg:pub.10.1038/nbt.2870 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043253046
    233 https://doi.org/10.1038/nbt.2870
    234 rdf:type schema:CreativeWork
    235 sg:pub.10.1038/nbt1401 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015180730
    236 https://doi.org/10.1038/nbt1401
    237 rdf:type schema:CreativeWork
    238 sg:pub.10.1038/ncomms12219 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028229040
    239 https://doi.org/10.1038/ncomms12219
    240 rdf:type schema:CreativeWork
    241 sg:pub.10.1038/ng.2704 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032897440
    242 https://doi.org/10.1038/ng.2704
    243 rdf:type schema:CreativeWork
    244 sg:pub.10.1038/nm.3821 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044400165
    245 https://doi.org/10.1038/nm.3821
    246 rdf:type schema:CreativeWork
    247 sg:pub.10.1038/s41598-017-00820-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084537877
    248 https://doi.org/10.1038/s41598-017-00820-6
    249 rdf:type schema:CreativeWork
    250 sg:pub.10.1038/s41598-017-06918-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091090303
    251 https://doi.org/10.1038/s41598-017-06918-1
    252 rdf:type schema:CreativeWork
    253 sg:pub.10.1038/srep34893 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032893022
    254 https://doi.org/10.1038/srep34893
    255 rdf:type schema:CreativeWork
    256 sg:pub.10.1038/srep39735 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007996864
    257 https://doi.org/10.1038/srep39735
    258 rdf:type schema:CreativeWork
    259 sg:pub.10.1186/1752-0509-7-36 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044727026
    260 https://doi.org/10.1186/1752-0509-7-36
    261 rdf:type schema:CreativeWork
    262 sg:pub.10.1186/2191-0855-2-28 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036417253
    263 https://doi.org/10.1186/2191-0855-2-28
    264 rdf:type schema:CreativeWork
    265 sg:pub.10.1186/s12864-015-2042-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1046750510
    266 https://doi.org/10.1186/s12864-015-2042-y
    267 rdf:type schema:CreativeWork
    268 sg:pub.10.1186/s12918-014-0137-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028023358
    269 https://doi.org/10.1186/s12918-014-0137-8
    270 rdf:type schema:CreativeWork
    271 sg:pub.10.1186/s12934-015-0321-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009173685
    272 https://doi.org/10.1186/s12934-015-0321-6
    273 rdf:type schema:CreativeWork
    274 sg:pub.10.1186/s13568-016-0283-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1035096327
    275 https://doi.org/10.1186/s13568-016-0283-z
    276 rdf:type schema:CreativeWork
    277 sg:pub.10.1186/s13568-018-0584-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103277158
    278 https://doi.org/10.1186/s13568-018-0584-5
    279 rdf:type schema:CreativeWork
    280 https://app.dimensions.ai/details/publication/pub.1080940019 schema:CreativeWork
    281 https://doi.org/10.1002/0471250953.bi0410s25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048384970
    282 rdf:type schema:CreativeWork
    283 https://doi.org/10.1002/biot.200900247 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021817746
    284 rdf:type schema:CreativeWork
    285 https://doi.org/10.1002/bit.25955 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025377674
    286 rdf:type schema:CreativeWork
    287 https://doi.org/10.1002/bit.26195 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031606618
    288 rdf:type schema:CreativeWork
    289 https://doi.org/10.1002/ffj.3173 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053270675
    290 rdf:type schema:CreativeWork
    291 https://doi.org/10.1002/prot.21018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028987231
    292 rdf:type schema:CreativeWork
    293 https://doi.org/10.1006/meth.2001.1262 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027621591
    294 rdf:type schema:CreativeWork
    295 https://doi.org/10.1016/j.advms.2017.07.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091249019
    296 rdf:type schema:CreativeWork
    297 https://doi.org/10.1016/j.apr.2016.12.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022188088
    298 rdf:type schema:CreativeWork
    299 https://doi.org/10.1016/j.biortech.2014.12.106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033862142
    300 rdf:type schema:CreativeWork
    301 https://doi.org/10.1016/j.biortech.2016.02.118 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022447297
    302 rdf:type schema:CreativeWork
    303 https://doi.org/10.1016/j.biotechadv.2015.07.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049837348
    304 rdf:type schema:CreativeWork
    305 https://doi.org/10.1016/j.cell.2015.05.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045577850
    306 rdf:type schema:CreativeWork
    307 https://doi.org/10.1016/j.fct.2013.11.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026008780
    308 rdf:type schema:CreativeWork
    309 https://doi.org/10.1016/j.fgb.2017.03.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084074560
    310 rdf:type schema:CreativeWork
    311 https://doi.org/10.1016/j.funeco.2010.11.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027073245
    312 rdf:type schema:CreativeWork
    313 https://doi.org/10.1016/j.jbiotec.2017.04.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084527611
    314 rdf:type schema:CreativeWork
    315 https://doi.org/10.1016/j.lwt.2015.02.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013694159
    316 rdf:type schema:CreativeWork
    317 https://doi.org/10.1016/j.mrrev.2011.11.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017346341
    318 rdf:type schema:CreativeWork
    319 https://doi.org/10.1016/j.plantsci.2009.05.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034484466
    320 rdf:type schema:CreativeWork
    321 https://doi.org/10.1016/j.plaphy.2017.03.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084102357
    322 rdf:type schema:CreativeWork
    323 https://doi.org/10.1016/j.synbio.2017.02.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084109978
    324 rdf:type schema:CreativeWork
    325 https://doi.org/10.1016/j.tetlet.2008.07.087 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040967595
    326 rdf:type schema:CreativeWork
    327 https://doi.org/10.1016/j.tibtech.2005.06.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010562589
    328 rdf:type schema:CreativeWork
    329 https://doi.org/10.1016/j.tibtech.2014.03.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052893238
    330 rdf:type schema:CreativeWork
    331 https://doi.org/10.1016/j.ymben.2015.08.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045631616
    332 rdf:type schema:CreativeWork
    333 https://doi.org/10.1016/s0014-5793(99)01403-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002595664
    334 rdf:type schema:CreativeWork
    335 https://doi.org/10.1016/s0031-9422(02)00545-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017200941
    336 rdf:type schema:CreativeWork
    337 https://doi.org/10.1016/s0040-4039(02)02317-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039773390
    338 rdf:type schema:CreativeWork
    339 https://doi.org/10.1016/s0958-1669(00)00192-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005602147
    340 rdf:type schema:CreativeWork
    341 https://doi.org/10.1021/ac9019522 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055071766
    342 rdf:type schema:CreativeWork
    343 https://doi.org/10.1021/acs.bioconjchem.8b00050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101533372
    344 rdf:type schema:CreativeWork
    345 https://doi.org/10.1021/acs.jafc.7b01567 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085616394
    346 rdf:type schema:CreativeWork
    347 https://doi.org/10.1021/jf040095e schema:sameAs https://app.dimensions.ai/details/publication/pub.1055902202
    348 rdf:type schema:CreativeWork
    349 https://doi.org/10.1038/msb.2009.77 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031913351
    350 rdf:type schema:CreativeWork
    351 https://doi.org/10.1039/c1cp20722a schema:sameAs https://app.dimensions.ai/details/publication/pub.1051940283
    352 rdf:type schema:CreativeWork
    353 https://doi.org/10.1039/c3mb70090a schema:sameAs https://app.dimensions.ai/details/publication/pub.1008450907
    354 rdf:type schema:CreativeWork
    355 https://doi.org/10.1055/s-2004-832642 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057437742
    356 rdf:type schema:CreativeWork
    357 https://doi.org/10.1073/pnas.2533483100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011737197
    358 rdf:type schema:CreativeWork
    359 https://doi.org/10.1080/00275514.1970.12018967 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106954132
    360 rdf:type schema:CreativeWork
    361 https://doi.org/10.1080/09168451.2014.921551 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008594522
    362 rdf:type schema:CreativeWork
    363 https://doi.org/10.1093/nar/gkh131 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036547327
    364 rdf:type schema:CreativeWork
    365 https://doi.org/10.1093/nar/gkj001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048681044
    366 rdf:type schema:CreativeWork
    367 https://doi.org/10.1093/nar/gkt1103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020190748
    368 rdf:type schema:CreativeWork
    369 https://doi.org/10.1094/mpmi.2001.14.6.749 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060080417
    370 rdf:type schema:CreativeWork
    371 https://doi.org/10.1094/phyto-60-903 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060102882
    372 rdf:type schema:CreativeWork
    373 https://doi.org/10.1099/00221287-5-4-619 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060373418
    374 rdf:type schema:CreativeWork
    375 https://doi.org/10.1101/gr.074492.107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051720574
    376 rdf:type schema:CreativeWork
    377 https://doi.org/10.1104/pp.105.059337 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050772165
    378 rdf:type schema:CreativeWork
    379 https://doi.org/10.1111/1462-2920.12513 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009236480
    380 rdf:type schema:CreativeWork
    381 https://doi.org/10.1128/aac.02647-13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017013484
    382 rdf:type schema:CreativeWork
    383 https://doi.org/10.1128/aem.02186-10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008967204
    384 rdf:type schema:CreativeWork
    385 https://doi.org/10.1371/journal.pcbi.1002980 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014516343
    386 rdf:type schema:CreativeWork
    387 https://doi.org/10.1371/journal.pone.0061777 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028784199
    388 rdf:type schema:CreativeWork
    389 https://doi.org/10.1371/journal.pone.0115682 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002381949
    390 rdf:type schema:CreativeWork
    391 https://doi.org/10.3389/fmicb.2013.00003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039638264
    392 rdf:type schema:CreativeWork
    393 https://doi.org/10.3389/fmicb.2015.00632 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008974145
    394 rdf:type schema:CreativeWork
    395 https://doi.org/10.3389/fmicb.2016.01257 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009595471
    396 rdf:type schema:CreativeWork
    397 https://doi.org/10.4014/jmb.1512.12084 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071873190
    398 rdf:type schema:CreativeWork
    399 https://doi.org/10.7324/japs.2017.70210 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085249470
    400 rdf:type schema:CreativeWork
    401 https://www.grid.ac/institutes/grid.144022.1 schema:alternateName North West Agriculture and Forestry University
    402 schema:name College of Enology, Northwest A&F University, 22 Xinong Road, 712100, Yangling, Shaanxi, China
    403 rdf:type schema:Organization
    404 https://www.grid.ac/institutes/grid.258151.a schema:alternateName Jiangnan University
    405 schema:name State Key Laboratory of Food Science and Technology, Jiangnan University, 1800 Lihu Road, 214122, Wuxi, Jiangsu, China
    406 rdf:type schema:Organization
    407 https://www.grid.ac/institutes/grid.412982.4 schema:alternateName Xiangtan University
    408 schema:name Department of Biological and Food Engineering, College of Chemical Engineering, Xiangtan University, 411105, Xiangtan, Hunan, China
    409 rdf:type schema:Organization
    410 https://www.grid.ac/institutes/grid.440588.5 schema:alternateName Northwestern Polytechnical University
    411 schema:name Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, 127 Youyi West Road, 710072, Xi’an, Shaanxi, China
    412 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...