Deep sequencing of the Camellia sinensis transcriptome revealed candidate genes for major metabolic pathways of tea-specific compounds View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2011-02-28

AUTHORS

Cheng-Ying Shi, Hua Yang, Chao-Ling Wei, Oliver Yu, Zheng-Zhu Zhang, Chang-Jun Jiang, Jun Sun, Ye-Yun Li, Qi Chen, Tao Xia, Xiao-Chun Wan

ABSTRACT

BackgroundTea is one of the most popular non-alcoholic beverages worldwide. However, the tea plant, Camellia sinensis, is difficult to culture in vitro, to transform, and has a large genome, rendering little genomic information available. Recent advances in large-scale RNA sequencing (RNA-seq) provide a fast, cost-effective, and reliable approach to generate large expression datasets for functional genomic analysis, which is especially suitable for non-model species with un-sequenced genomes.ResultsUsing high-throughput Illumina RNA-seq, the transcriptome from poly (A)+ RNA of C. sinensis was analyzed at an unprecedented depth (2.59 gigabase pairs). Approximate 34.5 million reads were obtained, trimmed, and assembled into 127,094 unigenes, with an average length of 355 bp and an N50 of 506 bp, which consisted of 788 contig clusters and 126,306 singletons. This number of unigenes was 10-fold higher than existing C. sinensis sequences deposited in GenBank (as of August 2010). Sequence similarity analyses against six public databases (Uniprot, NR and COGs at NCBI, Pfam, InterPro and KEGG) found 55,088 unigenes that could be annotated with gene descriptions, conserved protein domains, or gene ontology terms. Some of the unigenes were assigned to putative metabolic pathways. Targeted searches using these annotations identified the majority of genes associated with several primary metabolic pathways and natural product pathways that are important to tea quality, such as flavonoid, theanine and caffeine biosynthesis pathways. Novel candidate genes of these secondary pathways were discovered. Comparisons with four previously prepared cDNA libraries revealed that this transcriptome dataset has both a high degree of consistency with previous EST data and an approximate 20 times increase in coverage. Thirteen unigenes related to theanine and flavonoid synthesis were validated. Their expression patterns in different organs of the tea plant were analyzed by RT-PCR and quantitative real time PCR (qRT-PCR).ConclusionsAn extensive transcriptome dataset has been obtained from the deep sequencing of tea plant. The coverage of the transcriptome is comprehensive enough to discover all known genes of several major metabolic pathways. This transcriptome dataset can serve as an important public information platform for gene expression, genomics, and functional genomic studies in C. sinensis. More... »

PAGES

131

References to SciGraph publications

  • 2005-12-18. Transient expression vectors for functional genomics, quantification of promoter activity and RNA silencing in plants in PLANT METHODS
  • 2000-05. Gene Ontology: tool for the unification of biology in NATURE GENETICS
  • 2008-05-30. Stem cell transcriptome profiling via massive-scale mRNA sequencing in NATURE METHODS
  • 2007-12-19. Sequence census methods for functional genomics in NATURE METHODS
  • 2009-05-12. Sequencing and de novo analysis of a coral larval transcriptome using 454 GSFlx in BMC GENOMICS
  • 2008-05-30. Mapping and quantifying mammalian transcriptomes by RNA-Seq in NATURE METHODS
  • 2007-09-23. Time for tea: mood, blood pressure and cognitive performance effects of caffeine and theanine administered alone and together in PSYCHOPHARMACOLOGY
  • 2010-06-24. De novo characterization of a whitefly transcriptome and analysis of its gene expression during development in BMC GENOMICS
  • 2009-07-31. Characterization of the Zoarces viviparus liver transcriptome using massively parallel pyrosequencing in BMC GENOMICS
  • 2009-12-13. The sequence and de novo assembly of the giant panda genome in NATURE
  • 2008-08-05. Phenylalanine ammonia-lyase (PAL) and cinnamate 4-hydroxylase (C4H) and catechins (flavan-3-ols) accumulation in tea in FUNCTIONAL & INTEGRATIVE GENOMICS
  • 2009-01. RNA-Seq: a revolutionary tool for transcriptomics in NATURE REVIEWS GENETICS
  • 2002-10. A WD-repeat-containing putative regulatory protein in anthocyanin biosynthesis in Perilla frutescens in PLANT MOLECULAR BIOLOGY
  • 2008-10-18. p-Coumarate:CoA ligase as a key gene in the yield of catechins in tea [Camellia sinensis (L.) O. Kuntze] in FUNCTIONAL & INTEGRATIVE GENOMICS
  • 2008-05-18. Dynamic repertoire of a eukaryotic transcriptome surveyed at single-nucleotide resolution in NATURE
  • 2008-07. The beginning of the end for microarrays? in NATURE METHODS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/1471-2164-12-131

    DOI

    http://dx.doi.org/10.1186/1471-2164-12-131

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1041159930

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/21356090


    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/2008/06", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biological Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "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"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Camellia sinensis", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cluster Analysis", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Expressed Sequence Tags", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Gene Expression Profiling", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Gene Library", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genome, Plant", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "High-Throughput Nucleotide Sequencing", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Metabolic Networks and Pathways", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Molecular Sequence Annotation", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "RNA, Plant", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Reverse Transcriptase Polymerase Chain Reaction", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Sequence Analysis, DNA", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Tea", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Key laboratory of Tea Biochemistry and Biotechnology, Ministry of Education, Ministry of Agriculture, Anhui Agricultural University, 230036, Hefei, P.R. China", 
              "id": "http://www.grid.ac/institutes/grid.411389.6", 
              "name": [
                "Key laboratory of Tea Biochemistry and Biotechnology, Ministry of Education, Ministry of Agriculture, Anhui Agricultural University, 230036, Hefei, P.R. China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Shi", 
            "givenName": "Cheng-Ying", 
            "id": "sg:person.014362174000.38", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014362174000.38"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Key laboratory of Tea Biochemistry and Biotechnology, Ministry of Education, Ministry of Agriculture, Anhui Agricultural University, 230036, Hefei, P.R. China", 
              "id": "http://www.grid.ac/institutes/grid.411389.6", 
              "name": [
                "Key laboratory of Tea Biochemistry and Biotechnology, Ministry of Education, Ministry of Agriculture, Anhui Agricultural University, 230036, Hefei, P.R. China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yang", 
            "givenName": "Hua", 
            "id": "sg:person.01273536433.42", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01273536433.42"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Key laboratory of Tea Biochemistry and Biotechnology, Ministry of Education, Ministry of Agriculture, Anhui Agricultural University, 230036, Hefei, P.R. China", 
              "id": "http://www.grid.ac/institutes/grid.411389.6", 
              "name": [
                "Key laboratory of Tea Biochemistry and Biotechnology, Ministry of Education, Ministry of Agriculture, Anhui Agricultural University, 230036, Hefei, P.R. China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wei", 
            "givenName": "Chao-Ling", 
            "id": "sg:person.01225423233.46", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01225423233.46"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Donald Danforth Plant Science Center, 975 North Warson Road, 63132, Saint Louis, Missouri, USA", 
              "id": "http://www.grid.ac/institutes/grid.34424.35", 
              "name": [
                "Key laboratory of Tea Biochemistry and Biotechnology, Ministry of Education, Ministry of Agriculture, Anhui Agricultural University, 230036, Hefei, P.R. China", 
                "Donald Danforth Plant Science Center, 975 North Warson Road, 63132, Saint Louis, Missouri, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yu", 
            "givenName": "Oliver", 
            "id": "sg:person.01036766161.20", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01036766161.20"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Key laboratory of Tea Biochemistry and Biotechnology, Ministry of Education, Ministry of Agriculture, Anhui Agricultural University, 230036, Hefei, P.R. China", 
              "id": "http://www.grid.ac/institutes/grid.411389.6", 
              "name": [
                "Key laboratory of Tea Biochemistry and Biotechnology, Ministry of Education, Ministry of Agriculture, Anhui Agricultural University, 230036, Hefei, P.R. China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhang", 
            "givenName": "Zheng-Zhu", 
            "id": "sg:person.01237105421.08", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01237105421.08"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Key laboratory of Tea Biochemistry and Biotechnology, Ministry of Education, Ministry of Agriculture, Anhui Agricultural University, 230036, Hefei, P.R. China", 
              "id": "http://www.grid.ac/institutes/grid.411389.6", 
              "name": [
                "Key laboratory of Tea Biochemistry and Biotechnology, Ministry of Education, Ministry of Agriculture, Anhui Agricultural University, 230036, Hefei, P.R. China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Jiang", 
            "givenName": "Chang-Jun", 
            "id": "sg:person.01023304344.87", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01023304344.87"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Key laboratory of Tea Biochemistry and Biotechnology, Ministry of Education, Ministry of Agriculture, Anhui Agricultural University, 230036, Hefei, P.R. China", 
              "id": "http://www.grid.ac/institutes/grid.411389.6", 
              "name": [
                "Key laboratory of Tea Biochemistry and Biotechnology, Ministry of Education, Ministry of Agriculture, Anhui Agricultural University, 230036, Hefei, P.R. China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sun", 
            "givenName": "Jun", 
            "id": "sg:person.012670156537.18", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012670156537.18"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Key laboratory of Tea Biochemistry and Biotechnology, Ministry of Education, Ministry of Agriculture, Anhui Agricultural University, 230036, Hefei, P.R. China", 
              "id": "http://www.grid.ac/institutes/grid.411389.6", 
              "name": [
                "Key laboratory of Tea Biochemistry and Biotechnology, Ministry of Education, Ministry of Agriculture, Anhui Agricultural University, 230036, Hefei, P.R. China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Li", 
            "givenName": "Ye-Yun", 
            "id": "sg:person.0707055744.99", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0707055744.99"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Key laboratory of Tea Biochemistry and Biotechnology, Ministry of Education, Ministry of Agriculture, Anhui Agricultural University, 230036, Hefei, P.R. China", 
              "id": "http://www.grid.ac/institutes/grid.411389.6", 
              "name": [
                "Key laboratory of Tea Biochemistry and Biotechnology, Ministry of Education, Ministry of Agriculture, Anhui Agricultural University, 230036, Hefei, P.R. China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chen", 
            "givenName": "Qi", 
            "id": "sg:person.01055412307.91", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055412307.91"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Key laboratory of Tea Biochemistry and Biotechnology, Ministry of Education, Ministry of Agriculture, Anhui Agricultural University, 230036, Hefei, P.R. China", 
              "id": "http://www.grid.ac/institutes/grid.411389.6", 
              "name": [
                "Key laboratory of Tea Biochemistry and Biotechnology, Ministry of Education, Ministry of Agriculture, Anhui Agricultural University, 230036, Hefei, P.R. China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Xia", 
            "givenName": "Tao", 
            "id": "sg:person.01175371630.48", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01175371630.48"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Key laboratory of Tea Biochemistry and Biotechnology, Ministry of Education, Ministry of Agriculture, Anhui Agricultural University, 230036, Hefei, P.R. China", 
              "id": "http://www.grid.ac/institutes/grid.411389.6", 
              "name": [
                "Key laboratory of Tea Biochemistry and Biotechnology, Ministry of Education, Ministry of Agriculture, Anhui Agricultural University, 230036, Hefei, P.R. China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wan", 
            "givenName": "Xiao-Chun", 
            "id": "sg:person.0702670414.13", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0702670414.13"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1186/1471-2164-11-400", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024648987", 
              "https://doi.org/10.1186/1471-2164-11-400"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-10-345", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040158016", 
              "https://doi.org/10.1186/1471-2164-10-345"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.1223", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048586936", 
              "https://doi.org/10.1038/nmeth.1223"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.1226", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045381177", 
              "https://doi.org/10.1038/nmeth.1226"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth1157", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048416659", 
              "https://doi.org/10.1038/nmeth1157"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature07002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044718936", 
              "https://doi.org/10.1038/nature07002"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/75556", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044135237", 
              "https://doi.org/10.1038/75556"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10142-008-0098-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005305956", 
              "https://doi.org/10.1007/s10142-008-0098-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1019850921627", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025792059", 
              "https://doi.org/10.1023/a:1019850921627"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00213-007-0938-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001056420", 
              "https://doi.org/10.1007/s00213-007-0938-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2484", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030687647", 
              "https://doi.org/10.1038/nrg2484"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-10-219", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012258578", 
              "https://doi.org/10.1186/1471-2164-10-219"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth0708-585", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023481283", 
              "https://doi.org/10.1038/nmeth0708-585"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1746-4811-1-13", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039063291", 
              "https://doi.org/10.1186/1746-4811-1-13"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature08696", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044030989", 
              "https://doi.org/10.1038/nature08696"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10142-008-0092-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048413333", 
              "https://doi.org/10.1007/s10142-008-0092-9"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2011-02-28", 
        "datePublishedReg": "2011-02-28", 
        "description": "BackgroundTea is one of the most popular non-alcoholic beverages worldwide. However, the tea plant, Camellia sinensis, is difficult to culture in vitro, to transform, and has a large genome, rendering little genomic information available. Recent advances in large-scale RNA sequencing (RNA-seq) provide a fast, cost-effective, and reliable approach to generate large expression datasets for functional genomic analysis, which is especially suitable for non-model species with un-sequenced genomes.ResultsUsing high-throughput Illumina RNA-seq, the transcriptome from poly (A)+ RNA of C. sinensis was analyzed at an unprecedented depth (2.59 gigabase pairs). Approximate 34.5 million reads were obtained, trimmed, and assembled into 127,094 unigenes, with an average length of 355 bp and an N50 of 506 bp, which consisted of 788 contig clusters and 126,306 singletons. This number of unigenes was 10-fold higher than existing C. sinensis sequences deposited in GenBank (as of August 2010). Sequence similarity analyses against six public databases (Uniprot, NR and COGs at NCBI, Pfam, InterPro and KEGG) found 55,088 unigenes that could be annotated with gene descriptions, conserved protein domains, or gene ontology terms. Some of the unigenes were assigned to putative metabolic pathways. Targeted searches using these annotations identified the majority of genes associated with several primary metabolic pathways and natural product pathways that are important to tea quality, such as flavonoid, theanine and caffeine biosynthesis pathways. Novel candidate genes of these secondary pathways were discovered. Comparisons with four previously prepared cDNA libraries revealed that this transcriptome dataset has both a high degree of consistency with previous EST data and an approximate 20 times increase in coverage. Thirteen unigenes related to theanine and flavonoid synthesis were validated. Their expression patterns in different organs of the tea plant were analyzed by RT-PCR and quantitative real time PCR (qRT-PCR).ConclusionsAn extensive transcriptome dataset has been obtained from the deep sequencing of tea plant. The coverage of the transcriptome is comprehensive enough to discover all known genes of several major metabolic pathways. This transcriptome dataset can serve as an important public information platform for gene expression, genomics, and functional genomic studies in C. sinensis.", 
        "genre": "article", 
        "id": "sg:pub.10.1186/1471-2164-12-131", 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.8691881", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.8770694", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.4964742", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.3104262", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1023790", 
            "issn": [
              "1471-2164"
            ], 
            "name": "BMC Genomics", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "12"
          }
        ], 
        "keywords": [
          "transcriptome datasets", 
          "tea plants", 
          "metabolic pathways", 
          "important public information platform", 
          "candidate genes", 
          "deep sequencing", 
          "large-scale RNA sequencing", 
          "extensive transcriptome dataset", 
          "number of unigenes", 
          "little genomic information", 
          "caffeine biosynthesis pathway", 
          "non-model species", 
          "functional genomic studies", 
          "Illumina RNA-seq", 
          "functional genomic analysis", 
          "natural product pathways", 
          "majority of genes", 
          "popular non-alcoholic beverages", 
          "Gene Ontology terms", 
          "large expression datasets", 
          "novel candidate genes", 
          "major metabolic pathways", 
          "C. sinensis", 
          "primary metabolic pathways", 
          "quantitative real-time PCR", 
          "gene descriptions", 
          "large genomes", 
          "biosynthesis pathway", 
          "sequence similarity", 
          "protein domains", 
          "genomic studies", 
          "genomic analysis", 
          "unigenes", 
          "ontology terms", 
          "EST data", 
          "genomic information", 
          "RNA-seq", 
          "cDNA library", 
          "flavonoid synthesis", 
          "RNA sequencing", 
          "expression patterns", 
          "gene expression", 
          "real-time PCR", 
          "public information platform", 
          "unprecedented depth", 
          "expression datasets", 
          "genes", 
          "product pathways", 
          "public databases", 
          "transcriptome", 
          "genome", 
          "secondary pathways", 
          "sequencing", 
          "plants", 
          "pathway", 
          "sinensis", 
          "time PCR", 
          "Camellia sinensis", 
          "tea quality", 
          "different organs", 
          "RT-PCR", 
          "BP", 
          "N50", 
          "recent advances", 
          "genomics", 
          "GenBank", 
          "RNA", 
          "species", 
          "reads", 
          "theanine", 
          "annotation", 
          "targeted search", 
          "sequence", 
          "expression", 
          "high degree", 
          "PCR", 
          "vitro", 
          "similarity", 
          "domain", 
          "average length", 
          "library", 
          "organs", 
          "reliable approach", 
          "clusters", 
          "patterns", 
          "non-alcoholic beverages", 
          "dataset", 
          "advances", 
          "synthesis", 
          "singletons", 
          "compounds", 
          "length", 
          "analysis", 
          "number", 
          "majority", 
          "increase", 
          "study", 
          "database", 
          "description", 
          "data", 
          "information", 
          "comparison", 
          "platform", 
          "un", 
          "degree", 
          "poly", 
          "search", 
          "approach", 
          "coverage", 
          "depth", 
          "beverages", 
          "quality", 
          "information platform", 
          "terms", 
          "time increases", 
          "consistency"
        ], 
        "name": "Deep sequencing of the Camellia sinensis transcriptome revealed candidate genes for major metabolic pathways of tea-specific compounds", 
        "pagination": "131", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1041159930"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/1471-2164-12-131"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "21356090"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/1471-2164-12-131", 
          "https://app.dimensions.ai/details/publication/pub.1041159930"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-08-04T17:00", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/article/article_548.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1186/1471-2164-12-131"
      }
    ]
     

    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.10.1186/1471-2164-12-131'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2164-12-131'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2164-12-131'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2164-12-131'


     

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

    374 TRIPLES      21 PREDICATES      170 URIs      146 LITERALS      20 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/1471-2164-12-131 schema:about N05a4dfae9fde44e99ae944be67d28813
    2 N2f621c007f5e4d2c8afbe7b79e4e01bd
    3 N363f166e74294e6f80f116b4143c8f7f
    4 N523b99b7afc6497d9b64bbc2fd58e870
    5 N6a8db07126834597ab2cf9a646b589d9
    6 N7fb87ba2c891476ab90cc828d4060015
    7 N8a799fc97e034299bc7984852dc39053
    8 Nb57e5783891f494a9068b60b8fdd0190
    9 Nbe5ffadc86e64827a1ed98ad0f4616e9
    10 Nc36f7e278c084f9a96c54474f3d1e3c6
    11 Nd29c9c07763542668333c4ccb4fbdd1b
    12 Ndccf99a753c84154917b442dd04d96cc
    13 Nf4d5c7e4677545c580a849ff90cd7792
    14 anzsrc-for:06
    15 anzsrc-for:0604
    16 schema:author Na1cd7ae6844146df8278030b16789ea0
    17 schema:citation sg:pub.10.1007/s00213-007-0938-1
    18 sg:pub.10.1007/s10142-008-0092-9
    19 sg:pub.10.1007/s10142-008-0098-3
    20 sg:pub.10.1023/a:1019850921627
    21 sg:pub.10.1038/75556
    22 sg:pub.10.1038/nature07002
    23 sg:pub.10.1038/nature08696
    24 sg:pub.10.1038/nmeth.1223
    25 sg:pub.10.1038/nmeth.1226
    26 sg:pub.10.1038/nmeth0708-585
    27 sg:pub.10.1038/nmeth1157
    28 sg:pub.10.1038/nrg2484
    29 sg:pub.10.1186/1471-2164-10-219
    30 sg:pub.10.1186/1471-2164-10-345
    31 sg:pub.10.1186/1471-2164-11-400
    32 sg:pub.10.1186/1746-4811-1-13
    33 schema:datePublished 2011-02-28
    34 schema:datePublishedReg 2011-02-28
    35 schema:description BackgroundTea is one of the most popular non-alcoholic beverages worldwide. However, the tea plant, Camellia sinensis, is difficult to culture in vitro, to transform, and has a large genome, rendering little genomic information available. Recent advances in large-scale RNA sequencing (RNA-seq) provide a fast, cost-effective, and reliable approach to generate large expression datasets for functional genomic analysis, which is especially suitable for non-model species with un-sequenced genomes.ResultsUsing high-throughput Illumina RNA-seq, the transcriptome from poly (A)+ RNA of C. sinensis was analyzed at an unprecedented depth (2.59 gigabase pairs). Approximate 34.5 million reads were obtained, trimmed, and assembled into 127,094 unigenes, with an average length of 355 bp and an N50 of 506 bp, which consisted of 788 contig clusters and 126,306 singletons. This number of unigenes was 10-fold higher than existing C. sinensis sequences deposited in GenBank (as of August 2010). Sequence similarity analyses against six public databases (Uniprot, NR and COGs at NCBI, Pfam, InterPro and KEGG) found 55,088 unigenes that could be annotated with gene descriptions, conserved protein domains, or gene ontology terms. Some of the unigenes were assigned to putative metabolic pathways. Targeted searches using these annotations identified the majority of genes associated with several primary metabolic pathways and natural product pathways that are important to tea quality, such as flavonoid, theanine and caffeine biosynthesis pathways. Novel candidate genes of these secondary pathways were discovered. Comparisons with four previously prepared cDNA libraries revealed that this transcriptome dataset has both a high degree of consistency with previous EST data and an approximate 20 times increase in coverage. Thirteen unigenes related to theanine and flavonoid synthesis were validated. Their expression patterns in different organs of the tea plant were analyzed by RT-PCR and quantitative real time PCR (qRT-PCR).ConclusionsAn extensive transcriptome dataset has been obtained from the deep sequencing of tea plant. The coverage of the transcriptome is comprehensive enough to discover all known genes of several major metabolic pathways. This transcriptome dataset can serve as an important public information platform for gene expression, genomics, and functional genomic studies in C. sinensis.
    36 schema:genre article
    37 schema:isAccessibleForFree true
    38 schema:isPartOf N266727e42de9438ca4ae17cdc8d11f5f
    39 N5788fa2b1c11492c9d1bbff366c873e1
    40 sg:journal.1023790
    41 schema:keywords BP
    42 C. sinensis
    43 Camellia sinensis
    44 EST data
    45 GenBank
    46 Gene Ontology terms
    47 Illumina RNA-seq
    48 N50
    49 PCR
    50 RNA
    51 RNA sequencing
    52 RNA-seq
    53 RT-PCR
    54 advances
    55 analysis
    56 annotation
    57 approach
    58 average length
    59 beverages
    60 biosynthesis pathway
    61 cDNA library
    62 caffeine biosynthesis pathway
    63 candidate genes
    64 clusters
    65 comparison
    66 compounds
    67 consistency
    68 coverage
    69 data
    70 database
    71 dataset
    72 deep sequencing
    73 degree
    74 depth
    75 description
    76 different organs
    77 domain
    78 expression
    79 expression datasets
    80 expression patterns
    81 extensive transcriptome dataset
    82 flavonoid synthesis
    83 functional genomic analysis
    84 functional genomic studies
    85 gene descriptions
    86 gene expression
    87 genes
    88 genome
    89 genomic analysis
    90 genomic information
    91 genomic studies
    92 genomics
    93 high degree
    94 important public information platform
    95 increase
    96 information
    97 information platform
    98 large expression datasets
    99 large genomes
    100 large-scale RNA sequencing
    101 length
    102 library
    103 little genomic information
    104 major metabolic pathways
    105 majority
    106 majority of genes
    107 metabolic pathways
    108 natural product pathways
    109 non-alcoholic beverages
    110 non-model species
    111 novel candidate genes
    112 number
    113 number of unigenes
    114 ontology terms
    115 organs
    116 pathway
    117 patterns
    118 plants
    119 platform
    120 poly
    121 popular non-alcoholic beverages
    122 primary metabolic pathways
    123 product pathways
    124 protein domains
    125 public databases
    126 public information platform
    127 quality
    128 quantitative real-time PCR
    129 reads
    130 real-time PCR
    131 recent advances
    132 reliable approach
    133 search
    134 secondary pathways
    135 sequence
    136 sequence similarity
    137 sequencing
    138 similarity
    139 sinensis
    140 singletons
    141 species
    142 study
    143 synthesis
    144 targeted search
    145 tea plants
    146 tea quality
    147 terms
    148 theanine
    149 time PCR
    150 time increases
    151 transcriptome
    152 transcriptome datasets
    153 un
    154 unigenes
    155 unprecedented depth
    156 vitro
    157 schema:name Deep sequencing of the Camellia sinensis transcriptome revealed candidate genes for major metabolic pathways of tea-specific compounds
    158 schema:pagination 131
    159 schema:productId N1930dd31863745259bcb52cc95dce3da
    160 N491fc176c82d473cbe18bdd8bbce1476
    161 N53823df6ce4b4f65951c79d68ea98a53
    162 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041159930
    163 https://doi.org/10.1186/1471-2164-12-131
    164 schema:sdDatePublished 2022-08-04T17:00
    165 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    166 schema:sdPublisher N115fffdd980c43e8bb1cd97aef2ae366
    167 schema:url https://doi.org/10.1186/1471-2164-12-131
    168 sgo:license sg:explorer/license/
    169 sgo:sdDataset articles
    170 rdf:type schema:ScholarlyArticle
    171 N05a4dfae9fde44e99ae944be67d28813 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    172 schema:name Reverse Transcriptase Polymerase Chain Reaction
    173 rdf:type schema:DefinedTerm
    174 N115fffdd980c43e8bb1cd97aef2ae366 schema:name Springer Nature - SN SciGraph project
    175 rdf:type schema:Organization
    176 N1930dd31863745259bcb52cc95dce3da schema:name pubmed_id
    177 schema:value 21356090
    178 rdf:type schema:PropertyValue
    179 N224eebc448a24039b37af90edc1968bb rdf:first sg:person.0707055744.99
    180 rdf:rest N530d13e04df742daa7d6be01fbc5befe
    181 N266727e42de9438ca4ae17cdc8d11f5f schema:volumeNumber 12
    182 rdf:type schema:PublicationVolume
    183 N2872086b3eab42d49524a7c7df71de70 rdf:first sg:person.01225423233.46
    184 rdf:rest N4d8c32e856b9467398f9d712a73c2ac8
    185 N2f621c007f5e4d2c8afbe7b79e4e01bd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    186 schema:name Gene Library
    187 rdf:type schema:DefinedTerm
    188 N363f166e74294e6f80f116b4143c8f7f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    189 schema:name RNA, Plant
    190 rdf:type schema:DefinedTerm
    191 N46c5a13cf93049a697b6bf222489a8b5 rdf:first sg:person.01023304344.87
    192 rdf:rest Nf5c538dad286429fa4e09e9ebd3aafcd
    193 N491fc176c82d473cbe18bdd8bbce1476 schema:name dimensions_id
    194 schema:value pub.1041159930
    195 rdf:type schema:PropertyValue
    196 N4d8c32e856b9467398f9d712a73c2ac8 rdf:first sg:person.01036766161.20
    197 rdf:rest Nfc541915723145c2b0bbc3c84de1b96c
    198 N523b99b7afc6497d9b64bbc2fd58e870 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    199 schema:name Genome, Plant
    200 rdf:type schema:DefinedTerm
    201 N530d13e04df742daa7d6be01fbc5befe rdf:first sg:person.01055412307.91
    202 rdf:rest N68e6799f950a48ea9113be7a5b6a8037
    203 N53823df6ce4b4f65951c79d68ea98a53 schema:name doi
    204 schema:value 10.1186/1471-2164-12-131
    205 rdf:type schema:PropertyValue
    206 N5788fa2b1c11492c9d1bbff366c873e1 schema:issueNumber 1
    207 rdf:type schema:PublicationIssue
    208 N68e6799f950a48ea9113be7a5b6a8037 rdf:first sg:person.01175371630.48
    209 rdf:rest Nfe7839971d1b403ea46b62c20c5f5e9c
    210 N6a8db07126834597ab2cf9a646b589d9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    211 schema:name Expressed Sequence Tags
    212 rdf:type schema:DefinedTerm
    213 N7fb87ba2c891476ab90cc828d4060015 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    214 schema:name Metabolic Networks and Pathways
    215 rdf:type schema:DefinedTerm
    216 N8a799fc97e034299bc7984852dc39053 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    217 schema:name Tea
    218 rdf:type schema:DefinedTerm
    219 Na1cd7ae6844146df8278030b16789ea0 rdf:first sg:person.014362174000.38
    220 rdf:rest Nc3f6dd464b08426f9dc23b5c60f599e3
    221 Nb57e5783891f494a9068b60b8fdd0190 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    222 schema:name Cluster Analysis
    223 rdf:type schema:DefinedTerm
    224 Nbe5ffadc86e64827a1ed98ad0f4616e9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    225 schema:name High-Throughput Nucleotide Sequencing
    226 rdf:type schema:DefinedTerm
    227 Nc36f7e278c084f9a96c54474f3d1e3c6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    228 schema:name Molecular Sequence Annotation
    229 rdf:type schema:DefinedTerm
    230 Nc3f6dd464b08426f9dc23b5c60f599e3 rdf:first sg:person.01273536433.42
    231 rdf:rest N2872086b3eab42d49524a7c7df71de70
    232 Nd29c9c07763542668333c4ccb4fbdd1b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    233 schema:name Sequence Analysis, DNA
    234 rdf:type schema:DefinedTerm
    235 Ndccf99a753c84154917b442dd04d96cc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    236 schema:name Camellia sinensis
    237 rdf:type schema:DefinedTerm
    238 Nf4d5c7e4677545c580a849ff90cd7792 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    239 schema:name Gene Expression Profiling
    240 rdf:type schema:DefinedTerm
    241 Nf5c538dad286429fa4e09e9ebd3aafcd rdf:first sg:person.012670156537.18
    242 rdf:rest N224eebc448a24039b37af90edc1968bb
    243 Nfc541915723145c2b0bbc3c84de1b96c rdf:first sg:person.01237105421.08
    244 rdf:rest N46c5a13cf93049a697b6bf222489a8b5
    245 Nfe7839971d1b403ea46b62c20c5f5e9c rdf:first sg:person.0702670414.13
    246 rdf:rest rdf:nil
    247 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    248 schema:name Biological Sciences
    249 rdf:type schema:DefinedTerm
    250 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    251 schema:name Genetics
    252 rdf:type schema:DefinedTerm
    253 sg:grant.3104262 http://pending.schema.org/fundedItem sg:pub.10.1186/1471-2164-12-131
    254 rdf:type schema:MonetaryGrant
    255 sg:grant.4964742 http://pending.schema.org/fundedItem sg:pub.10.1186/1471-2164-12-131
    256 rdf:type schema:MonetaryGrant
    257 sg:grant.8691881 http://pending.schema.org/fundedItem sg:pub.10.1186/1471-2164-12-131
    258 rdf:type schema:MonetaryGrant
    259 sg:grant.8770694 http://pending.schema.org/fundedItem sg:pub.10.1186/1471-2164-12-131
    260 rdf:type schema:MonetaryGrant
    261 sg:journal.1023790 schema:issn 1471-2164
    262 schema:name BMC Genomics
    263 schema:publisher Springer Nature
    264 rdf:type schema:Periodical
    265 sg:person.01023304344.87 schema:affiliation grid-institutes:grid.411389.6
    266 schema:familyName Jiang
    267 schema:givenName Chang-Jun
    268 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01023304344.87
    269 rdf:type schema:Person
    270 sg:person.01036766161.20 schema:affiliation grid-institutes:grid.34424.35
    271 schema:familyName Yu
    272 schema:givenName Oliver
    273 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01036766161.20
    274 rdf:type schema:Person
    275 sg:person.01055412307.91 schema:affiliation grid-institutes:grid.411389.6
    276 schema:familyName Chen
    277 schema:givenName Qi
    278 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055412307.91
    279 rdf:type schema:Person
    280 sg:person.01175371630.48 schema:affiliation grid-institutes:grid.411389.6
    281 schema:familyName Xia
    282 schema:givenName Tao
    283 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01175371630.48
    284 rdf:type schema:Person
    285 sg:person.01225423233.46 schema:affiliation grid-institutes:grid.411389.6
    286 schema:familyName Wei
    287 schema:givenName Chao-Ling
    288 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01225423233.46
    289 rdf:type schema:Person
    290 sg:person.01237105421.08 schema:affiliation grid-institutes:grid.411389.6
    291 schema:familyName Zhang
    292 schema:givenName Zheng-Zhu
    293 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01237105421.08
    294 rdf:type schema:Person
    295 sg:person.012670156537.18 schema:affiliation grid-institutes:grid.411389.6
    296 schema:familyName Sun
    297 schema:givenName Jun
    298 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012670156537.18
    299 rdf:type schema:Person
    300 sg:person.01273536433.42 schema:affiliation grid-institutes:grid.411389.6
    301 schema:familyName Yang
    302 schema:givenName Hua
    303 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01273536433.42
    304 rdf:type schema:Person
    305 sg:person.014362174000.38 schema:affiliation grid-institutes:grid.411389.6
    306 schema:familyName Shi
    307 schema:givenName Cheng-Ying
    308 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014362174000.38
    309 rdf:type schema:Person
    310 sg:person.0702670414.13 schema:affiliation grid-institutes:grid.411389.6
    311 schema:familyName Wan
    312 schema:givenName Xiao-Chun
    313 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0702670414.13
    314 rdf:type schema:Person
    315 sg:person.0707055744.99 schema:affiliation grid-institutes:grid.411389.6
    316 schema:familyName Li
    317 schema:givenName Ye-Yun
    318 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0707055744.99
    319 rdf:type schema:Person
    320 sg:pub.10.1007/s00213-007-0938-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001056420
    321 https://doi.org/10.1007/s00213-007-0938-1
    322 rdf:type schema:CreativeWork
    323 sg:pub.10.1007/s10142-008-0092-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048413333
    324 https://doi.org/10.1007/s10142-008-0092-9
    325 rdf:type schema:CreativeWork
    326 sg:pub.10.1007/s10142-008-0098-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005305956
    327 https://doi.org/10.1007/s10142-008-0098-3
    328 rdf:type schema:CreativeWork
    329 sg:pub.10.1023/a:1019850921627 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025792059
    330 https://doi.org/10.1023/a:1019850921627
    331 rdf:type schema:CreativeWork
    332 sg:pub.10.1038/75556 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044135237
    333 https://doi.org/10.1038/75556
    334 rdf:type schema:CreativeWork
    335 sg:pub.10.1038/nature07002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044718936
    336 https://doi.org/10.1038/nature07002
    337 rdf:type schema:CreativeWork
    338 sg:pub.10.1038/nature08696 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044030989
    339 https://doi.org/10.1038/nature08696
    340 rdf:type schema:CreativeWork
    341 sg:pub.10.1038/nmeth.1223 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048586936
    342 https://doi.org/10.1038/nmeth.1223
    343 rdf:type schema:CreativeWork
    344 sg:pub.10.1038/nmeth.1226 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045381177
    345 https://doi.org/10.1038/nmeth.1226
    346 rdf:type schema:CreativeWork
    347 sg:pub.10.1038/nmeth0708-585 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023481283
    348 https://doi.org/10.1038/nmeth0708-585
    349 rdf:type schema:CreativeWork
    350 sg:pub.10.1038/nmeth1157 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048416659
    351 https://doi.org/10.1038/nmeth1157
    352 rdf:type schema:CreativeWork
    353 sg:pub.10.1038/nrg2484 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030687647
    354 https://doi.org/10.1038/nrg2484
    355 rdf:type schema:CreativeWork
    356 sg:pub.10.1186/1471-2164-10-219 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012258578
    357 https://doi.org/10.1186/1471-2164-10-219
    358 rdf:type schema:CreativeWork
    359 sg:pub.10.1186/1471-2164-10-345 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040158016
    360 https://doi.org/10.1186/1471-2164-10-345
    361 rdf:type schema:CreativeWork
    362 sg:pub.10.1186/1471-2164-11-400 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024648987
    363 https://doi.org/10.1186/1471-2164-11-400
    364 rdf:type schema:CreativeWork
    365 sg:pub.10.1186/1746-4811-1-13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039063291
    366 https://doi.org/10.1186/1746-4811-1-13
    367 rdf:type schema:CreativeWork
    368 grid-institutes:grid.34424.35 schema:alternateName Donald Danforth Plant Science Center, 975 North Warson Road, 63132, Saint Louis, Missouri, USA
    369 schema:name Donald Danforth Plant Science Center, 975 North Warson Road, 63132, Saint Louis, Missouri, USA
    370 Key laboratory of Tea Biochemistry and Biotechnology, Ministry of Education, Ministry of Agriculture, Anhui Agricultural University, 230036, Hefei, P.R. China
    371 rdf:type schema:Organization
    372 grid-institutes:grid.411389.6 schema:alternateName Key laboratory of Tea Biochemistry and Biotechnology, Ministry of Education, Ministry of Agriculture, Anhui Agricultural University, 230036, Hefei, P.R. China
    373 schema:name Key laboratory of Tea Biochemistry and Biotechnology, Ministry of Education, Ministry of Agriculture, Anhui Agricultural University, 230036, Hefei, P.R. China
    374 rdf:type schema:Organization
     




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


    ...