Genome of lethal Lepiota venenata and insights into the evolution of toxin-biosynthetic genes View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Yunjiao Lüli, Qing Cai, Zuo H. Chen, Hu Sun, Xue-Tai Zhu, Xuan Li, Zhu L. Yang, Hong Luo

ABSTRACT

BACKGROUND: Genomes of lethal Amanita and Galerina mushrooms have gradually become available in the past ten years; in contrast the other known amanitin-producing genus, Lepiota, is still vacant in this aspect. A fatal mushroom poisoning case in China has led to acquisition of fresh L. venenata fruiting bodies, based on which a draft genome was obtained through PacBio and Illumina sequencing platforms. Toxin-biosynthetic MSDIN family and Porlyl oligopeptidase B (POPB) genes were mined from the genome and used for phylogenetic and statistical studies to gain insights into the evolution of the biosynthetic pathway. RESULTS: The analysis of the genome data illustrated that only one MSDIN, named LvAMA1, exits in the genome, along with a POPB gene. No POPA homolog was identified by direct homology searching, however, one additional POP gene, named LvPOPC, was cloned and the gene structure determined. Similar to ApAMA1 in A. phalloides and GmAMA1 in G. marginata, LvAMA1 directly encodes α-amanitin. The two toxin genes were mapped to the draft genome, and the structures analyzed. Furthermore, phylogenetic and statistical analyses were conducted to study the evolution history of the POPB genes. Compared to our previous report, the phylogenetic trees unambiguously showed that a monophyletic POPB lineage clearly conflicted with the species phylogeny. In contrast, phylogeny of POPA genes resembled the species phylogeny. Topology and divergence tests showed that the POPB lineage was robust and these genes exhibited significantly shorter genetic distances than those of the house-keeping rbp2, a characteristic feature of genes with horizontal gene transfer (HGT) background. Consistently, same scenario applied to the only MSDIN, LvAMA1, in the genome. CONCLUSIONS: To the best of our knowledge, this is the first reported genome of Lepiota. The analyses of the toxin genes indicate that the cyclic peptides are synthesized through a ribosomal mechanism. The toxin genes, LvAMA1 and LvPOPB, are not in the vicinity of each other. Phylogenetic and evolutionary studies suggest that HGT is the underlining cause for the occurrence of POPB and MSDIN in Amanita, Galerina and Lepiota, which are allocated in three distantly-related families. More... »

PAGES

198

References to SciGraph publications

  • 2005-12. Do orthologous gene phylogenies really support tree-thinking? in BMC EVOLUTIONARY BIOLOGY
  • 2010-03-18. Comparative genomics reveals mobile pathogenicity chromosomes in Fusarium in NATURE
  • 2008-08. Horizontal gene transfer in eukaryotic evolution in NATURE REVIEWS GENETICS
  • 2018-07. The family Amanitaceae: molecular phylogeny, higher-rank taxonomy and the species in China in FUNGAL DIVERSITY
  • 2015-04. Convergent losses of decay mechanisms and rapid turnover of symbiosis genes in mycorrhizal mutualists in NATURE GENETICS
  • 2016-12. Expansion and diversification of the MSDIN family of cyclic peptide genes in the poisonous agarics Amanita phalloides and A. bisporigera in BMC GENOMICS
  • 2005-06. Lateral gene transfer in eukaryotes in CELLULAR AND MOLECULAR LIFE SCIENCES
  • 2003-11. Phylogeny of Lepiota (Agaricaceae) — Evidence from nrITS and nrLSU sequences in MYCOLOGICAL PROGRESS
  • 2018. The MSDIN family in amanitin-producing mushrooms and evolution of the prolyl oligopeptidase genes. in IMA FUNGUS
  • 2018. The Cyclic Peptide Toxins of Amanita and Other Poisonous Mushrooms in NONE
  • 2000-05. Lateral gene transfer and the nature of bacterial innovation in NATURE
  • 2014-12-18. IMA Genome-F 3 in IMA FUNGUS
  • 2008-05. Transposable elements and the evolution of regulatory networks in NATURE REVIEWS GENETICS
  • 1986. Peptides of Poisonous Amanita Mushrooms in NONE
  • 2010-06. Lepiota subincarnata J.E. Lange Induced Fulminant Hepatic Failure Presenting with Pancreatitis in JOURNAL OF MEDICAL TOXICOLOGY
  • 2008-05. A universal classification of eukaryotic transposable elements implemented in Repbase in NATURE REVIEWS GENETICS
  • 1986-01. A fatal poisoning from an amatoxin containing Lepiota in MYCOPATHOLOGIA
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s12864-019-5575-7

    DOI

    http://dx.doi.org/10.1186/s12864-019-5575-7

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112645932

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30849934


    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": "University of Chinese Academy of Sciences", 
              "id": "https://www.grid.ac/institutes/grid.410726.6", 
              "name": [
                "CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, 650201, Kunming, Yunnan, China", 
                "University of Chinese Academy of Sciences, 100049, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "L\u00fcli", 
            "givenName": "Yunjiao", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Kunming Institute of Botany", 
              "id": "https://www.grid.ac/institutes/grid.458460.b", 
              "name": [
                "CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, 650201, Kunming, Yunnan, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Cai", 
            "givenName": "Qing", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Hunan Normal University", 
              "id": "https://www.grid.ac/institutes/grid.411427.5", 
              "name": [
                "College of Life Science, Hunan Normal University, 410081, Changsha, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chen", 
            "givenName": "Zuo H.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Kunming Institute of Botany", 
              "id": "https://www.grid.ac/institutes/grid.458460.b", 
              "name": [
                "CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, 650201, Kunming, Yunnan, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sun", 
            "givenName": "Hu", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Northwest Normal University", 
              "id": "https://www.grid.ac/institutes/grid.412260.3", 
              "name": [
                "College of Life Sciences, Northwest Normal University, 730030, Lanzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhu", 
            "givenName": "Xue-Tai", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Kunming University of Science and Technology", 
              "id": "https://www.grid.ac/institutes/grid.218292.2", 
              "name": [
                "Department of Environmental Science and Engineering, Kunming University of Science and Technology, 650091, Kunming, Yunnan, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Li", 
            "givenName": "Xuan", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Kunming Institute of Botany", 
              "id": "https://www.grid.ac/institutes/grid.458460.b", 
              "name": [
                "CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, 650201, Kunming, Yunnan, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yang", 
            "givenName": "Zhu L.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Kunming Institute of Botany", 
              "id": "https://www.grid.ac/institutes/grid.458460.b", 
              "name": [
                "CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, 650201, Kunming, Yunnan, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Luo", 
            "givenName": "Hong", 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1093/bioinformatics/17.12.1246", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001228928"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3852/10-319", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001697048"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00437009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002497781", 
              "https://doi.org/10.1007/bf00437009"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2386", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002840749", 
              "https://doi.org/10.1038/nrg2386"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/ec.00135-09", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003721923"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1177/0300985813511131", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004005539"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1177/0300985813511131", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004005539"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3390/toxins6082336", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004605709"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.chembiol.2014.10.015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005153597"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.chembiol.2014.10.015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005153597"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1074/jbc.m109.006460", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008758410"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s1055-7903(02)00027-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010042673"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3852/09-191", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010100293"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5598/imafungus.2014.05.02.11", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011262141"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.5598/imafungus.2014.05.02.11", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011262141", 
              "https://doi.org/10.5598/imafungus.2014.05.02.11"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2148-5-33", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012058457", 
              "https://doi.org/10.1186/1471-2148-5-33"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11557-006-0068-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018116809", 
              "https://doi.org/10.1007/s11557-006-0068-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11557-006-0068-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018116809", 
              "https://doi.org/10.1007/s11557-006-0068-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.36.6.344", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019329581"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.gene.2013.09.014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019370053"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1146/annurev.micro.55.1.709", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020062045"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature08850", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020062727", 
              "https://doi.org/10.1038/nature08850"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature08850", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020062727", 
              "https://doi.org/10.1038/nature08850"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.092759.109", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020163602"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/molbev/msm088", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020427894"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.fgb.2011.12.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022836168"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btw108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026333230"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1574-6976.2010.00263.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028025314"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.96.7.3801", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028400086"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/gbe/evu121", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029775783"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tree.2010.06.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030681378"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2165-c1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031708839", 
              "https://doi.org/10.1038/nrg2165-c1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/oxfordjournals.molbev.a004046", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032738915"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3109/15569543.2015.1072563", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033306222"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/35012500", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035273826", 
              "https://doi.org/10.1038/35012500"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/35012500", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035273826", 
              "https://doi.org/10.1038/35012500"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0041-0101(97)00074-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035381198"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.toxicon.2014.02.020", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035430273"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2337", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036005113", 
              "https://doi.org/10.1038/nrg2337"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btg180", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036252078"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/ec.00161-10", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037006391"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00018-005-4539-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039902200", 
              "https://doi.org/10.1007/s00018-005-4539-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0707340104", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040732518"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1081/clt-120014646", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041206558"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btr088", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041309983"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.3223", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042600951", 
              "https://doi.org/10.1038/ng.3223"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1146/annurev.genet.31.1.337", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044824351"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btl446", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046470836"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12864-016-3378-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048117294", 
              "https://doi.org/10.1186/s12864-016-3378-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12864-016-3378-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048117294", 
              "https://doi.org/10.1186/s12864-016-3378-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/bij.12872", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050062955"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1400592111", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050269693"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ympev.2006.08.024", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051001617"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-71295-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051667699", 
              "https://doi.org/10.1007/978-3-642-71295-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-71295-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051667699", 
              "https://doi.org/10.1007/978-3-642-71295-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1146/annurev.genet.40.110405.090448", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052339033"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13181-010-0062-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053018852", 
              "https://doi.org/10.1007/s13181-010-0062-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13181-010-0062-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053018852", 
              "https://doi.org/10.1007/s13181-010-0062-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.femsle.2005.08.049", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053715156"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.femsle.2005.08.049", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053715156"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1089/106652700750050871", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1059204857"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1094/mpmi-9-0339", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060079646"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.284.5423.2124", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062565692"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3724/sp.j.1005.2008.01108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071317418"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1078393047", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/15572536.2005.11832920", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084167640"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/15572536.2006.11832621", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084167741"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/15572536.2006.11832627", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084167747"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/15572536.2006.11832774", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084167891"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/9781555817954.ch48", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1088813621"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-76822-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103908861", 
              "https://doi.org/10.1007/978-3-319-76822-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5598/imafungus.2018.09.02.01", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105962529"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5598/imafungus.2018.09.02.01", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105962529"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.5598/imafungus.2018.09.02.01", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105962529", 
              "https://doi.org/10.5598/imafungus.2018.09.02.01"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13225-018-0405-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105981151", 
              "https://doi.org/10.1007/s13225-018-0405-9"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-12", 
        "datePublishedReg": "2019-12-01", 
        "description": "BACKGROUND: Genomes of lethal Amanita and Galerina mushrooms have gradually become available in the past ten years; in contrast the other known amanitin-producing genus, Lepiota, is still vacant in this aspect. A fatal mushroom poisoning case in China has led to acquisition of fresh L. venenata fruiting bodies, based on which a draft genome was obtained through PacBio and Illumina sequencing platforms. Toxin-biosynthetic MSDIN family and Porlyl oligopeptidase B (POPB) genes were mined from the genome and used for phylogenetic and statistical studies to gain insights into the evolution of the biosynthetic pathway.\nRESULTS: The analysis of the genome data illustrated that only one MSDIN, named LvAMA1, exits in the genome, along with a POPB gene. No POPA homolog was identified by direct homology searching, however, one additional POP gene, named LvPOPC, was cloned and the gene structure determined. Similar to ApAMA1 in A. phalloides and GmAMA1 in G. marginata, LvAMA1 directly encodes \u03b1-amanitin. The two toxin genes were mapped to the draft genome, and the structures analyzed. Furthermore, phylogenetic and statistical analyses were conducted to study the evolution history of the POPB genes. Compared to our previous report, the phylogenetic trees unambiguously showed that a monophyletic POPB lineage clearly conflicted with the species phylogeny. In contrast, phylogeny of POPA genes resembled the species phylogeny. Topology and divergence tests showed that the POPB lineage was robust and these genes exhibited significantly shorter genetic distances than those of the house-keeping rbp2, a characteristic feature of genes with horizontal gene transfer (HGT) background. Consistently, same scenario applied to the only MSDIN, LvAMA1, in the genome.\nCONCLUSIONS: To the best of our knowledge, this is the first reported genome of Lepiota. The analyses of the toxin genes indicate that the cyclic peptides are synthesized through a ribosomal mechanism. The toxin genes, LvAMA1 and LvPOPB, are not in the vicinity of each other. Phylogenetic and evolutionary studies suggest that HGT is the underlining cause for the occurrence of POPB and MSDIN in Amanita, Galerina and Lepiota, which are allocated in three distantly-related families.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1186/s12864-019-5575-7", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1023790", 
            "issn": [
              "1471-2164"
            ], 
            "name": "BMC Genomics", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "20"
          }
        ], 
        "name": "Genome of lethal Lepiota venenata and insights into the evolution of toxin-biosynthetic genes", 
        "pagination": "198", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "89634e3cf1c4452c6b332b2b3e7a8c7c5f39989ae220def6073c7cf85b12c484"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "30849934"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "100965258"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/s12864-019-5575-7"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1112645932"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/s12864-019-5575-7", 
          "https://app.dimensions.ai/details/publication/pub.1112645932"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T13:17", 
        "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/v90/0000000368_0000000368/records_78934_00000001.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1186%2Fs12864-019-5575-7"
      }
    ]
     

    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/s12864-019-5575-7'

    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/s12864-019-5575-7'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12864-019-5575-7'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12864-019-5575-7'


     

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

    333 TRIPLES      21 PREDICATES      94 URIs      21 LITERALS      9 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/s12864-019-5575-7 schema:about anzsrc-for:06
    2 anzsrc-for:0604
    3 schema:author N2e3c2b007b99458f9aead5ea9006a767
    4 schema:citation sg:pub.10.1007/978-3-319-76822-9
    5 sg:pub.10.1007/978-3-642-71295-1
    6 sg:pub.10.1007/bf00437009
    7 sg:pub.10.1007/s00018-005-4539-z
    8 sg:pub.10.1007/s11557-006-0068-x
    9 sg:pub.10.1007/s13181-010-0062-1
    10 sg:pub.10.1007/s13225-018-0405-9
    11 sg:pub.10.1038/35012500
    12 sg:pub.10.1038/nature08850
    13 sg:pub.10.1038/ng.3223
    14 sg:pub.10.1038/nrg2165-c1
    15 sg:pub.10.1038/nrg2337
    16 sg:pub.10.1038/nrg2386
    17 sg:pub.10.1186/1471-2148-5-33
    18 sg:pub.10.1186/s12864-016-3378-7
    19 sg:pub.10.5598/imafungus.2014.05.02.11
    20 sg:pub.10.5598/imafungus.2018.09.02.01
    21 https://app.dimensions.ai/details/publication/pub.1078393047
    22 https://doi.org/10.1016/j.chembiol.2014.10.015
    23 https://doi.org/10.1016/j.femsle.2005.08.049
    24 https://doi.org/10.1016/j.fgb.2011.12.005
    25 https://doi.org/10.1016/j.gene.2013.09.014
    26 https://doi.org/10.1016/j.toxicon.2014.02.020
    27 https://doi.org/10.1016/j.tree.2010.06.001
    28 https://doi.org/10.1016/j.ympev.2006.08.024
    29 https://doi.org/10.1016/s0041-0101(97)00074-3
    30 https://doi.org/10.1016/s1055-7903(02)00027-1
    31 https://doi.org/10.1073/pnas.0707340104
    32 https://doi.org/10.1073/pnas.1400592111
    33 https://doi.org/10.1073/pnas.36.6.344
    34 https://doi.org/10.1073/pnas.96.7.3801
    35 https://doi.org/10.1074/jbc.m109.006460
    36 https://doi.org/10.1080/15572536.2005.11832920
    37 https://doi.org/10.1080/15572536.2006.11832621
    38 https://doi.org/10.1080/15572536.2006.11832627
    39 https://doi.org/10.1080/15572536.2006.11832774
    40 https://doi.org/10.1081/clt-120014646
    41 https://doi.org/10.1089/106652700750050871
    42 https://doi.org/10.1093/bioinformatics/17.12.1246
    43 https://doi.org/10.1093/bioinformatics/btg180
    44 https://doi.org/10.1093/bioinformatics/btl446
    45 https://doi.org/10.1093/bioinformatics/btr088
    46 https://doi.org/10.1093/bioinformatics/btw108
    47 https://doi.org/10.1093/gbe/evu121
    48 https://doi.org/10.1093/molbev/msm088
    49 https://doi.org/10.1093/oxfordjournals.molbev.a004046
    50 https://doi.org/10.1094/mpmi-9-0339
    51 https://doi.org/10.1101/gr.092759.109
    52 https://doi.org/10.1111/bij.12872
    53 https://doi.org/10.1111/j.1574-6976.2010.00263.x
    54 https://doi.org/10.1126/science.284.5423.2124
    55 https://doi.org/10.1128/9781555817954.ch48
    56 https://doi.org/10.1128/ec.00135-09
    57 https://doi.org/10.1128/ec.00161-10
    58 https://doi.org/10.1146/annurev.genet.31.1.337
    59 https://doi.org/10.1146/annurev.genet.40.110405.090448
    60 https://doi.org/10.1146/annurev.micro.55.1.709
    61 https://doi.org/10.1177/0300985813511131
    62 https://doi.org/10.3109/15569543.2015.1072563
    63 https://doi.org/10.3390/toxins6082336
    64 https://doi.org/10.3724/sp.j.1005.2008.01108
    65 https://doi.org/10.3852/09-191
    66 https://doi.org/10.3852/10-319
    67 https://doi.org/10.5598/imafungus.2014.05.02.11
    68 https://doi.org/10.5598/imafungus.2018.09.02.01
    69 schema:datePublished 2019-12
    70 schema:datePublishedReg 2019-12-01
    71 schema:description BACKGROUND: Genomes of lethal Amanita and Galerina mushrooms have gradually become available in the past ten years; in contrast the other known amanitin-producing genus, Lepiota, is still vacant in this aspect. A fatal mushroom poisoning case in China has led to acquisition of fresh L. venenata fruiting bodies, based on which a draft genome was obtained through PacBio and Illumina sequencing platforms. Toxin-biosynthetic MSDIN family and Porlyl oligopeptidase B (POPB) genes were mined from the genome and used for phylogenetic and statistical studies to gain insights into the evolution of the biosynthetic pathway. RESULTS: The analysis of the genome data illustrated that only one MSDIN, named LvAMA1, exits in the genome, along with a POPB gene. No POPA homolog was identified by direct homology searching, however, one additional POP gene, named LvPOPC, was cloned and the gene structure determined. Similar to ApAMA1 in A. phalloides and GmAMA1 in G. marginata, LvAMA1 directly encodes α-amanitin. The two toxin genes were mapped to the draft genome, and the structures analyzed. Furthermore, phylogenetic and statistical analyses were conducted to study the evolution history of the POPB genes. Compared to our previous report, the phylogenetic trees unambiguously showed that a monophyletic POPB lineage clearly conflicted with the species phylogeny. In contrast, phylogeny of POPA genes resembled the species phylogeny. Topology and divergence tests showed that the POPB lineage was robust and these genes exhibited significantly shorter genetic distances than those of the house-keeping rbp2, a characteristic feature of genes with horizontal gene transfer (HGT) background. Consistently, same scenario applied to the only MSDIN, LvAMA1, in the genome. CONCLUSIONS: To the best of our knowledge, this is the first reported genome of Lepiota. The analyses of the toxin genes indicate that the cyclic peptides are synthesized through a ribosomal mechanism. The toxin genes, LvAMA1 and LvPOPB, are not in the vicinity of each other. Phylogenetic and evolutionary studies suggest that HGT is the underlining cause for the occurrence of POPB and MSDIN in Amanita, Galerina and Lepiota, which are allocated in three distantly-related families.
    72 schema:genre research_article
    73 schema:inLanguage en
    74 schema:isAccessibleForFree true
    75 schema:isPartOf N136bf94a9df94a2a81fbea5661f565f5
    76 Nbc4f3e9419bc49d7b6c4e1ec774254f7
    77 sg:journal.1023790
    78 schema:name Genome of lethal Lepiota venenata and insights into the evolution of toxin-biosynthetic genes
    79 schema:pagination 198
    80 schema:productId N326d29a1e0ff4bb1bbce5dd91e3f69df
    81 N3b5a2070223646c3844b416162c917d8
    82 N72b4c8d1f77549e3905c979333a4e6e9
    83 N7fd6d8c2107f4ac8b7cb2bfd9aac2bca
    84 Na899beaa3d0f4133bcf0c49127ffe0e5
    85 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112645932
    86 https://doi.org/10.1186/s12864-019-5575-7
    87 schema:sdDatePublished 2019-04-11T13:17
    88 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    89 schema:sdPublisher N1bd290a36b374aed92abeb1c40df6bf6
    90 schema:url https://link.springer.com/10.1186%2Fs12864-019-5575-7
    91 sgo:license sg:explorer/license/
    92 sgo:sdDataset articles
    93 rdf:type schema:ScholarlyArticle
    94 N0e88c074130940108e43fbd09cd3dc1f schema:affiliation https://www.grid.ac/institutes/grid.458460.b
    95 schema:familyName Yang
    96 schema:givenName Zhu L.
    97 rdf:type schema:Person
    98 N136bf94a9df94a2a81fbea5661f565f5 schema:issueNumber 1
    99 rdf:type schema:PublicationIssue
    100 N1bd290a36b374aed92abeb1c40df6bf6 schema:name Springer Nature - SN SciGraph project
    101 rdf:type schema:Organization
    102 N1eba3d87f2a5465fb4e3331fac7c19ed rdf:first N71b62fb552924e5099d957119824e5a4
    103 rdf:rest Nfe9be33234c84cbc8cf381443a59c75e
    104 N289634a927cf47b89f7a17ecde85cd95 rdf:first Na87a7d35d5ec4dd7b4ebe627cb804e79
    105 rdf:rest N1eba3d87f2a5465fb4e3331fac7c19ed
    106 N2e3c2b007b99458f9aead5ea9006a767 rdf:first N39e430a9e4254adf96f25caf8e3170b2
    107 rdf:rest N289634a927cf47b89f7a17ecde85cd95
    108 N2f3aeb64fc0c4365bb253e8b326373dc schema:affiliation https://www.grid.ac/institutes/grid.458460.b
    109 schema:familyName Luo
    110 schema:givenName Hong
    111 rdf:type schema:Person
    112 N326d29a1e0ff4bb1bbce5dd91e3f69df schema:name dimensions_id
    113 schema:value pub.1112645932
    114 rdf:type schema:PropertyValue
    115 N32b5f4c292fe4d4c84c3af89b002536d schema:affiliation https://www.grid.ac/institutes/grid.458460.b
    116 schema:familyName Sun
    117 schema:givenName Hu
    118 rdf:type schema:Person
    119 N39e430a9e4254adf96f25caf8e3170b2 schema:affiliation https://www.grid.ac/institutes/grid.410726.6
    120 schema:familyName Lüli
    121 schema:givenName Yunjiao
    122 rdf:type schema:Person
    123 N3b5a2070223646c3844b416162c917d8 schema:name pubmed_id
    124 schema:value 30849934
    125 rdf:type schema:PropertyValue
    126 N4772123ef4034a42921589a5a5bd2b3a schema:affiliation https://www.grid.ac/institutes/grid.218292.2
    127 schema:familyName Li
    128 schema:givenName Xuan
    129 rdf:type schema:Person
    130 N71b62fb552924e5099d957119824e5a4 schema:affiliation https://www.grid.ac/institutes/grid.411427.5
    131 schema:familyName Chen
    132 schema:givenName Zuo H.
    133 rdf:type schema:Person
    134 N72b4c8d1f77549e3905c979333a4e6e9 schema:name nlm_unique_id
    135 schema:value 100965258
    136 rdf:type schema:PropertyValue
    137 N73c72f5d53fb4e1b8d781f24d82c1f1b rdf:first N0e88c074130940108e43fbd09cd3dc1f
    138 rdf:rest Nd70ac4b8fb3c4ef2b8c9c0b9ee027663
    139 N74fbac82dade4227a9d2adddd5caa9da schema:affiliation https://www.grid.ac/institutes/grid.412260.3
    140 schema:familyName Zhu
    141 schema:givenName Xue-Tai
    142 rdf:type schema:Person
    143 N7f1616dbad0949cabfa741334a42e2df rdf:first N74fbac82dade4227a9d2adddd5caa9da
    144 rdf:rest Neb787c6a188143f68881e630de83110a
    145 N7fd6d8c2107f4ac8b7cb2bfd9aac2bca schema:name doi
    146 schema:value 10.1186/s12864-019-5575-7
    147 rdf:type schema:PropertyValue
    148 Na87a7d35d5ec4dd7b4ebe627cb804e79 schema:affiliation https://www.grid.ac/institutes/grid.458460.b
    149 schema:familyName Cai
    150 schema:givenName Qing
    151 rdf:type schema:Person
    152 Na899beaa3d0f4133bcf0c49127ffe0e5 schema:name readcube_id
    153 schema:value 89634e3cf1c4452c6b332b2b3e7a8c7c5f39989ae220def6073c7cf85b12c484
    154 rdf:type schema:PropertyValue
    155 Nbc4f3e9419bc49d7b6c4e1ec774254f7 schema:volumeNumber 20
    156 rdf:type schema:PublicationVolume
    157 Nd70ac4b8fb3c4ef2b8c9c0b9ee027663 rdf:first N2f3aeb64fc0c4365bb253e8b326373dc
    158 rdf:rest rdf:nil
    159 Neb787c6a188143f68881e630de83110a rdf:first N4772123ef4034a42921589a5a5bd2b3a
    160 rdf:rest N73c72f5d53fb4e1b8d781f24d82c1f1b
    161 Nfe9be33234c84cbc8cf381443a59c75e rdf:first N32b5f4c292fe4d4c84c3af89b002536d
    162 rdf:rest N7f1616dbad0949cabfa741334a42e2df
    163 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    164 schema:name Biological Sciences
    165 rdf:type schema:DefinedTerm
    166 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    167 schema:name Genetics
    168 rdf:type schema:DefinedTerm
    169 sg:journal.1023790 schema:issn 1471-2164
    170 schema:name BMC Genomics
    171 rdf:type schema:Periodical
    172 sg:pub.10.1007/978-3-319-76822-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103908861
    173 https://doi.org/10.1007/978-3-319-76822-9
    174 rdf:type schema:CreativeWork
    175 sg:pub.10.1007/978-3-642-71295-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051667699
    176 https://doi.org/10.1007/978-3-642-71295-1
    177 rdf:type schema:CreativeWork
    178 sg:pub.10.1007/bf00437009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002497781
    179 https://doi.org/10.1007/bf00437009
    180 rdf:type schema:CreativeWork
    181 sg:pub.10.1007/s00018-005-4539-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1039902200
    182 https://doi.org/10.1007/s00018-005-4539-z
    183 rdf:type schema:CreativeWork
    184 sg:pub.10.1007/s11557-006-0068-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1018116809
    185 https://doi.org/10.1007/s11557-006-0068-x
    186 rdf:type schema:CreativeWork
    187 sg:pub.10.1007/s13181-010-0062-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053018852
    188 https://doi.org/10.1007/s13181-010-0062-1
    189 rdf:type schema:CreativeWork
    190 sg:pub.10.1007/s13225-018-0405-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105981151
    191 https://doi.org/10.1007/s13225-018-0405-9
    192 rdf:type schema:CreativeWork
    193 sg:pub.10.1038/35012500 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035273826
    194 https://doi.org/10.1038/35012500
    195 rdf:type schema:CreativeWork
    196 sg:pub.10.1038/nature08850 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020062727
    197 https://doi.org/10.1038/nature08850
    198 rdf:type schema:CreativeWork
    199 sg:pub.10.1038/ng.3223 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042600951
    200 https://doi.org/10.1038/ng.3223
    201 rdf:type schema:CreativeWork
    202 sg:pub.10.1038/nrg2165-c1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031708839
    203 https://doi.org/10.1038/nrg2165-c1
    204 rdf:type schema:CreativeWork
    205 sg:pub.10.1038/nrg2337 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036005113
    206 https://doi.org/10.1038/nrg2337
    207 rdf:type schema:CreativeWork
    208 sg:pub.10.1038/nrg2386 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002840749
    209 https://doi.org/10.1038/nrg2386
    210 rdf:type schema:CreativeWork
    211 sg:pub.10.1186/1471-2148-5-33 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012058457
    212 https://doi.org/10.1186/1471-2148-5-33
    213 rdf:type schema:CreativeWork
    214 sg:pub.10.1186/s12864-016-3378-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048117294
    215 https://doi.org/10.1186/s12864-016-3378-7
    216 rdf:type schema:CreativeWork
    217 sg:pub.10.5598/imafungus.2014.05.02.11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011262141
    218 https://doi.org/10.5598/imafungus.2014.05.02.11
    219 rdf:type schema:CreativeWork
    220 sg:pub.10.5598/imafungus.2018.09.02.01 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105962529
    221 https://doi.org/10.5598/imafungus.2018.09.02.01
    222 rdf:type schema:CreativeWork
    223 https://app.dimensions.ai/details/publication/pub.1078393047 schema:CreativeWork
    224 https://doi.org/10.1016/j.chembiol.2014.10.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005153597
    225 rdf:type schema:CreativeWork
    226 https://doi.org/10.1016/j.femsle.2005.08.049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053715156
    227 rdf:type schema:CreativeWork
    228 https://doi.org/10.1016/j.fgb.2011.12.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022836168
    229 rdf:type schema:CreativeWork
    230 https://doi.org/10.1016/j.gene.2013.09.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019370053
    231 rdf:type schema:CreativeWork
    232 https://doi.org/10.1016/j.toxicon.2014.02.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035430273
    233 rdf:type schema:CreativeWork
    234 https://doi.org/10.1016/j.tree.2010.06.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030681378
    235 rdf:type schema:CreativeWork
    236 https://doi.org/10.1016/j.ympev.2006.08.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051001617
    237 rdf:type schema:CreativeWork
    238 https://doi.org/10.1016/s0041-0101(97)00074-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035381198
    239 rdf:type schema:CreativeWork
    240 https://doi.org/10.1016/s1055-7903(02)00027-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010042673
    241 rdf:type schema:CreativeWork
    242 https://doi.org/10.1073/pnas.0707340104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040732518
    243 rdf:type schema:CreativeWork
    244 https://doi.org/10.1073/pnas.1400592111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050269693
    245 rdf:type schema:CreativeWork
    246 https://doi.org/10.1073/pnas.36.6.344 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019329581
    247 rdf:type schema:CreativeWork
    248 https://doi.org/10.1073/pnas.96.7.3801 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028400086
    249 rdf:type schema:CreativeWork
    250 https://doi.org/10.1074/jbc.m109.006460 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008758410
    251 rdf:type schema:CreativeWork
    252 https://doi.org/10.1080/15572536.2005.11832920 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084167640
    253 rdf:type schema:CreativeWork
    254 https://doi.org/10.1080/15572536.2006.11832621 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084167741
    255 rdf:type schema:CreativeWork
    256 https://doi.org/10.1080/15572536.2006.11832627 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084167747
    257 rdf:type schema:CreativeWork
    258 https://doi.org/10.1080/15572536.2006.11832774 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084167891
    259 rdf:type schema:CreativeWork
    260 https://doi.org/10.1081/clt-120014646 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041206558
    261 rdf:type schema:CreativeWork
    262 https://doi.org/10.1089/106652700750050871 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059204857
    263 rdf:type schema:CreativeWork
    264 https://doi.org/10.1093/bioinformatics/17.12.1246 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001228928
    265 rdf:type schema:CreativeWork
    266 https://doi.org/10.1093/bioinformatics/btg180 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036252078
    267 rdf:type schema:CreativeWork
    268 https://doi.org/10.1093/bioinformatics/btl446 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046470836
    269 rdf:type schema:CreativeWork
    270 https://doi.org/10.1093/bioinformatics/btr088 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041309983
    271 rdf:type schema:CreativeWork
    272 https://doi.org/10.1093/bioinformatics/btw108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026333230
    273 rdf:type schema:CreativeWork
    274 https://doi.org/10.1093/gbe/evu121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029775783
    275 rdf:type schema:CreativeWork
    276 https://doi.org/10.1093/molbev/msm088 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020427894
    277 rdf:type schema:CreativeWork
    278 https://doi.org/10.1093/oxfordjournals.molbev.a004046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032738915
    279 rdf:type schema:CreativeWork
    280 https://doi.org/10.1094/mpmi-9-0339 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060079646
    281 rdf:type schema:CreativeWork
    282 https://doi.org/10.1101/gr.092759.109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020163602
    283 rdf:type schema:CreativeWork
    284 https://doi.org/10.1111/bij.12872 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050062955
    285 rdf:type schema:CreativeWork
    286 https://doi.org/10.1111/j.1574-6976.2010.00263.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1028025314
    287 rdf:type schema:CreativeWork
    288 https://doi.org/10.1126/science.284.5423.2124 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062565692
    289 rdf:type schema:CreativeWork
    290 https://doi.org/10.1128/9781555817954.ch48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1088813621
    291 rdf:type schema:CreativeWork
    292 https://doi.org/10.1128/ec.00135-09 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003721923
    293 rdf:type schema:CreativeWork
    294 https://doi.org/10.1128/ec.00161-10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037006391
    295 rdf:type schema:CreativeWork
    296 https://doi.org/10.1146/annurev.genet.31.1.337 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044824351
    297 rdf:type schema:CreativeWork
    298 https://doi.org/10.1146/annurev.genet.40.110405.090448 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052339033
    299 rdf:type schema:CreativeWork
    300 https://doi.org/10.1146/annurev.micro.55.1.709 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020062045
    301 rdf:type schema:CreativeWork
    302 https://doi.org/10.1177/0300985813511131 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004005539
    303 rdf:type schema:CreativeWork
    304 https://doi.org/10.3109/15569543.2015.1072563 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033306222
    305 rdf:type schema:CreativeWork
    306 https://doi.org/10.3390/toxins6082336 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004605709
    307 rdf:type schema:CreativeWork
    308 https://doi.org/10.3724/sp.j.1005.2008.01108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071317418
    309 rdf:type schema:CreativeWork
    310 https://doi.org/10.3852/09-191 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010100293
    311 rdf:type schema:CreativeWork
    312 https://doi.org/10.3852/10-319 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001697048
    313 rdf:type schema:CreativeWork
    314 https://doi.org/10.5598/imafungus.2014.05.02.11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011262141
    315 rdf:type schema:CreativeWork
    316 https://doi.org/10.5598/imafungus.2018.09.02.01 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105962529
    317 rdf:type schema:CreativeWork
    318 https://www.grid.ac/institutes/grid.218292.2 schema:alternateName Kunming University of Science and Technology
    319 schema:name Department of Environmental Science and Engineering, Kunming University of Science and Technology, 650091, Kunming, Yunnan, China
    320 rdf:type schema:Organization
    321 https://www.grid.ac/institutes/grid.410726.6 schema:alternateName University of Chinese Academy of Sciences
    322 schema:name CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, 650201, Kunming, Yunnan, China
    323 University of Chinese Academy of Sciences, 100049, Beijing, China
    324 rdf:type schema:Organization
    325 https://www.grid.ac/institutes/grid.411427.5 schema:alternateName Hunan Normal University
    326 schema:name College of Life Science, Hunan Normal University, 410081, Changsha, China
    327 rdf:type schema:Organization
    328 https://www.grid.ac/institutes/grid.412260.3 schema:alternateName Northwest Normal University
    329 schema:name College of Life Sciences, Northwest Normal University, 730030, Lanzhou, China
    330 rdf:type schema:Organization
    331 https://www.grid.ac/institutes/grid.458460.b schema:alternateName Kunming Institute of Botany
    332 schema:name CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, 650201, Kunming, Yunnan, China
    333 rdf:type schema:Organization
     




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


    ...