Comparative transcriptomics of drought stress response of taproot meristem region of contrasting purple carrot breeding lines supported by physio-biochemical parameters View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2022-05-19

AUTHORS

Zahide Neslihan Öztürk Gökçe, Ali Fuat Gökçe, Muhammad Daniyal Junaid, Usman Khalid Chaudhry

ABSTRACT

Carrot is one of the nutritious vegetable crops sensitive to drought stress resulting in loss of quality and yield. There are a lot of studies on detailed molecular mechanisms of drought stress response of main crops; however, very little information available on vegetables, including carrots. Hence, in this study, we investigated root transcriptome profiles from the meristematic region of two contrasting purple carrot (B7262A, drought tolerant; P1129, drought sensitive) lines under varying stress levels (85% and 70%) by using RNA-Seq technique. The morpho-physiological and biochemical response of B7262A line exhibited tolerance behavior to both DS (85% and 70%). RNA-Seq analysis revealed that 15,839 genes were expressed commonly in both carrot lines. The carrot line B7262A showed regulation of 514 genes in response to 85% DS, whereas P1129 showed differential regulation of 622 genes under 70% DS. The B7262A carrot line showed higher upregulation of transcripts that suggested its resilient behavior contrary to P1129 line. Furthermore, validation of transcript gene by qRT-PCR also confirmed the RNA-Seq analysis resulting in elevated expression levels of MYB48 transcription factor, MAPK mitogen-activated protein kinase ANP1, GER geraniol 8-hydroxylase, ABA ABA-induced in somatic embryo 3, FBOX putative F-box protein, FRO ferric reduction oxidase, and PDR probable disease resistance protein. Current study provided unprecedented insights of purple carrot lines that can be potentially exploited for the screening and development of resilient carrot. More... »

PAGES

697-710

References to SciGraph publications

  • 2020-10-28. Effects of simulated drought stress on carotenoid contents and expression of related genes in carrot taproots in PROTOPLASMA
  • 1973-08. Rapid determination of free proline for water-stress studies in PLANT AND SOIL
  • 2022-01-03. Gene expression programs during callus development in tissue culture of two Eucalyptus species in BMC PLANT BIOLOGY
  • 2020-11-24. Morpho-physiological changes in carrots by foliar γ-aminobutyric acid under drought stress in BRAZILIAN JOURNAL OF BOTANY
  • 2018-03-02. Differential expression of leaf proteins in four cultivars of peanut (Arachis hypogaea L.) under water stress in 3 BIOTECH
  • 1983-06. Rapid assay for determination of water soluble quaternary ammonium compounds in PLANT AND SOIL
  • 2014-11-17. Fast and sensitive protein alignment using DIAMOND in NATURE METHODS
  • 2015-02-18. StringTie enables improved reconstruction of a transcriptome from RNA-seq reads in NATURE BIOTECHNOLOGY
  • 2019-08-02. Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype in NATURE BIOTECHNOLOGY
  • 2013-07-11. De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis in NATURE PROTOCOLS
  • 2018-11-08. Identification of transcription factor genes involved in anthocyanin biosynthesis in carrot (Daucus carota L.) using RNA-Seq in BMC GENOMICS
  • 2022-03-03. Assessing the impact of water use in conventional and organic carrot production in Poland in SCIENTIFIC REPORTS
  • 2019-05-29. ABA signaling rather than ABA metabolism is involved in trehalose-induced drought tolerance in tomato plants in PLANTA
  • 2021-06-07. Impact of Biochar in Mitigating the Negative Effect of Drought Stress on Cabbage Seedlings in JOURNAL OF SOIL SCIENCE AND PLANT NUTRITION
  • 2009-01. RNA-Seq: a revolutionary tool for transcriptomics in NATURE REVIEWS GENETICS
  • 2021-01-02. Dynamics of limited neoplastic growth on Pongamia pinnata (L.) (Fabaceae) leaf, induced by Aceria pongamiae (Acari: Eriophyidae) in BMC PLANT BIOLOGY
  • 2019-01-03. Overexpression of SrDXS1 and SrKAH enhances steviol glycosides content in transgenic Stevia plants in BMC PLANT BIOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10142-022-00868-2

    DOI

    http://dx.doi.org/10.1007/s10142-022-00868-2

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1147999081

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/35590117


    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": "Daucus carota", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Droughts", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Gene Expression Profiling", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Gene Expression Regulation, Plant", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Meristem", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Plant Breeding", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Stress, Physiological", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Transcriptome", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Agricultural Genetic Engineering, Ayhan \u015eahenk Faculty of Agricultural Sciences and Technologies, Ni\u011fde \u00d6mer Halisdemir University, Ni\u011fde, Turkey", 
              "id": "http://www.grid.ac/institutes/grid.412173.2", 
              "name": [
                "Department of Agricultural Genetic Engineering, Ayhan \u015eahenk Faculty of Agricultural Sciences and Technologies, Ni\u011fde \u00d6mer Halisdemir University, Ni\u011fde, Turkey"
              ], 
              "type": "Organization"
            }, 
            "familyName": "\u00d6zt\u00fcrk G\u00f6k\u00e7e", 
            "givenName": "Zahide Neslihan", 
            "id": "sg:person.07371463020.38", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07371463020.38"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Agricultural Genetic Engineering, Ayhan \u015eahenk Faculty of Agricultural Sciences and Technologies, Ni\u011fde \u00d6mer Halisdemir University, Ni\u011fde, Turkey", 
              "id": "http://www.grid.ac/institutes/grid.412173.2", 
              "name": [
                "Department of Agricultural Genetic Engineering, Ayhan \u015eahenk Faculty of Agricultural Sciences and Technologies, Ni\u011fde \u00d6mer Halisdemir University, Ni\u011fde, Turkey"
              ], 
              "type": "Organization"
            }, 
            "familyName": "G\u00f6k\u00e7e", 
            "givenName": "Ali Fuat", 
            "id": "sg:person.01135031234.44", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01135031234.44"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Agricultural Genetic Engineering, Ayhan \u015eahenk Faculty of Agricultural Sciences and Technologies, Ni\u011fde \u00d6mer Halisdemir University, Ni\u011fde, Turkey", 
              "id": "http://www.grid.ac/institutes/grid.412173.2", 
              "name": [
                "Department of Agricultural Genetic Engineering, Ayhan \u015eahenk Faculty of Agricultural Sciences and Technologies, Ni\u011fde \u00d6mer Halisdemir University, Ni\u011fde, Turkey"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Junaid", 
            "givenName": "Muhammad Daniyal", 
            "id": "sg:person.010373734457.94", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010373734457.94"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Agricultural Genetic Engineering, Ayhan \u015eahenk Faculty of Agricultural Sciences and Technologies, Ni\u011fde \u00d6mer Halisdemir University, Ni\u011fde, Turkey", 
              "id": "http://www.grid.ac/institutes/grid.412173.2", 
              "name": [
                "Department of Agricultural Genetic Engineering, Ayhan \u015eahenk Faculty of Agricultural Sciences and Technologies, Ni\u011fde \u00d6mer Halisdemir University, Ni\u011fde, Turkey"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chaudhry", 
            "givenName": "Usman Khalid", 
            "id": "sg:person.011571746024.79", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011571746024.79"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1186/s12864-018-5135-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1109785475", 
              "https://doi.org/10.1186/s12864-018-5135-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s42729-021-00522-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1138662200", 
              "https://doi.org/10.1007/s42729-021-00522-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12870-021-03391-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1144372891", 
              "https://doi.org/10.1186/s12870-021-03391-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13205-018-1180-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101319346", 
              "https://doi.org/10.1007/s13205-018-1180-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00425-019-03195-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1115986365", 
              "https://doi.org/10.1007/s00425-019-03195-2"
            ], 
            "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.10.1038/nmeth.3176", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023901695", 
              "https://doi.org/10.1038/nmeth.3176"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s40415-020-00676-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1132865921", 
              "https://doi.org/10.1007/s40415-020-00676-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nprot.2013.084", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051115056", 
              "https://doi.org/10.1038/nprot.2013.084"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12870-018-1600-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1111096988", 
              "https://doi.org/10.1186/s12870-018-1600-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02374789", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025395909", 
              "https://doi.org/10.1007/bf02374789"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.3122", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045760294", 
              "https://doi.org/10.1038/nbt.3122"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12870-020-02777-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1134274514", 
              "https://doi.org/10.1186/s12870-020-02777-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-022-07531-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1146005017", 
              "https://doi.org/10.1038/s41598-022-07531-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00709-020-01570-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1132054573", 
              "https://doi.org/10.1007/s00709-020-01570-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00018060", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050593387", 
              "https://doi.org/10.1007/bf00018060"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41587-019-0201-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1120026584", 
              "https://doi.org/10.1038/s41587-019-0201-4"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2022-05-19", 
        "datePublishedReg": "2022-05-19", 
        "description": "Carrot is one of the nutritious vegetable crops sensitive to drought stress resulting in loss of quality and yield. There are a lot of studies on detailed molecular mechanisms of drought stress response of main crops; however, very little information available on vegetables, including carrots. Hence, in this study, we investigated root transcriptome profiles from the meristematic region of two contrasting purple carrot (B7262A, drought tolerant; P1129, drought sensitive) lines under varying stress levels (85% and 70%) by using RNA-Seq technique. The morpho-physiological and biochemical response of B7262A line exhibited tolerance behavior to both DS (85% and 70%). RNA-Seq analysis revealed that 15,839 genes were expressed commonly in both carrot lines. The carrot line B7262A showed regulation of 514 genes in response to 85% DS, whereas P1129 showed differential regulation of 622 genes under 70% DS. The B7262A carrot line showed higher upregulation of transcripts that suggested its resilient behavior contrary to P1129 line. Furthermore, validation of transcript gene by qRT-PCR also confirmed the RNA-Seq analysis resulting in elevated expression levels of MYB48 transcription factor, MAPK mitogen-activated protein kinase ANP1, GER geraniol 8-hydroxylase, ABA ABA-induced in somatic embryo 3, FBOX putative F-box protein, FRO ferric reduction oxidase, and PDR probable disease resistance protein. Current study provided unprecedented insights of purple carrot lines that can be potentially exploited for the screening and development of resilient carrot.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s10142-022-00868-2", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1022614", 
            "issn": [
              "1438-793X", 
              "1438-7948"
            ], 
            "name": "Functional & Integrative Genomics", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "4", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "22"
          }
        ], 
        "keywords": [
          "drought stress response", 
          "RNA-seq analysis", 
          "putative F-box protein", 
          "carrot lines", 
          "stress response", 
          "root transcriptome profiles", 
          "disease resistance proteins", 
          "F-box proteins", 
          "nutritious vegetable crop", 
          "RNA-seq technique", 
          "physio-biochemical parameters", 
          "detailed molecular mechanisms", 
          "comparative transcriptomics", 
          "drought stress", 
          "elevated expression levels", 
          "transcriptome profiles", 
          "meristem region", 
          "transcription factors", 
          "meristematic region", 
          "molecular mechanisms", 
          "breeding lines", 
          "differential regulation", 
          "transcript gene", 
          "higher upregulation", 
          "vegetable crops", 
          "genes", 
          "unprecedented insights", 
          "resistance protein", 
          "qRT-PCR", 
          "expression levels", 
          "biochemical responses", 
          "protein", 
          "crops", 
          "main crop", 
          "regulation", 
          "ANP1", 
          "embryos 3", 
          "transcriptomics", 
          "ABA", 
          "carrot", 
          "little information", 
          "transcripts", 
          "lines", 
          "mitogen", 
          "upregulation", 
          "response", 
          "oxidase", 
          "tolerance behavior", 
          "region", 
          "insights", 
          "mechanism", 
          "stress", 
          "levels", 
          "geraniol", 
          "current study", 
          "analysis", 
          "yield", 
          "study", 
          "screening", 
          "loss", 
          "development", 
          "vegetables", 
          "DS", 
          "profile", 
          "factors", 
          "loss of quality", 
          "contrary", 
          "stress levels", 
          "information", 
          "behavior contrary", 
          "validation", 
          "behavior", 
          "quality", 
          "technique", 
          "parameters"
        ], 
        "name": "Comparative transcriptomics of drought stress response of taproot meristem region of contrasting purple carrot breeding lines supported by physio-biochemical parameters", 
        "pagination": "697-710", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1147999081"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10142-022-00868-2"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "35590117"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10142-022-00868-2", 
          "https://app.dimensions.ai/details/publication/pub.1147999081"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-10-01T06:50", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221001/entities/gbq_results/article/article_952.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s10142-022-00868-2"
      }
    ]
     

    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.10.1007/s10142-022-00868-2'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10142-022-00868-2'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10142-022-00868-2'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10142-022-00868-2'


     

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

    257 TRIPLES      21 PREDICATES      125 URIs      100 LITERALS      15 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10142-022-00868-2 schema:about N4a6831fc739e441d9e1576f375fd6ed4
    2 N752cb837397c42caabf6623866d633c3
    3 N798dae607ecf4b83916a9a3cd0448861
    4 N9e849a3740c24f31831b60272410d3a9
    5 Nb04e1658fcbb46058e48ff81e7b74beb
    6 Nb22be2b5a52d41308a16fb8cbc93debe
    7 Ncabdb6d78516447995fd57ff93f3e474
    8 Ne4e07099ca6949b3b26e265dac3a5a9e
    9 anzsrc-for:06
    10 anzsrc-for:0604
    11 schema:author N449cabd1ab3c4dd6a8641a2a5ac8ec75
    12 schema:citation sg:pub.10.1007/bf00018060
    13 sg:pub.10.1007/bf02374789
    14 sg:pub.10.1007/s00425-019-03195-2
    15 sg:pub.10.1007/s00709-020-01570-5
    16 sg:pub.10.1007/s13205-018-1180-8
    17 sg:pub.10.1007/s40415-020-00676-7
    18 sg:pub.10.1007/s42729-021-00522-z
    19 sg:pub.10.1038/nbt.3122
    20 sg:pub.10.1038/nmeth.3176
    21 sg:pub.10.1038/nprot.2013.084
    22 sg:pub.10.1038/nrg2484
    23 sg:pub.10.1038/s41587-019-0201-4
    24 sg:pub.10.1038/s41598-022-07531-7
    25 sg:pub.10.1186/s12864-018-5135-6
    26 sg:pub.10.1186/s12870-018-1600-2
    27 sg:pub.10.1186/s12870-020-02777-7
    28 sg:pub.10.1186/s12870-021-03391-x
    29 schema:datePublished 2022-05-19
    30 schema:datePublishedReg 2022-05-19
    31 schema:description Carrot is one of the nutritious vegetable crops sensitive to drought stress resulting in loss of quality and yield. There are a lot of studies on detailed molecular mechanisms of drought stress response of main crops; however, very little information available on vegetables, including carrots. Hence, in this study, we investigated root transcriptome profiles from the meristematic region of two contrasting purple carrot (B7262A, drought tolerant; P1129, drought sensitive) lines under varying stress levels (85% and 70%) by using RNA-Seq technique. The morpho-physiological and biochemical response of B7262A line exhibited tolerance behavior to both DS (85% and 70%). RNA-Seq analysis revealed that 15,839 genes were expressed commonly in both carrot lines. The carrot line B7262A showed regulation of 514 genes in response to 85% DS, whereas P1129 showed differential regulation of 622 genes under 70% DS. The B7262A carrot line showed higher upregulation of transcripts that suggested its resilient behavior contrary to P1129 line. Furthermore, validation of transcript gene by qRT-PCR also confirmed the RNA-Seq analysis resulting in elevated expression levels of MYB48 transcription factor, MAPK mitogen-activated protein kinase ANP1, GER geraniol 8-hydroxylase, ABA ABA-induced in somatic embryo 3, FBOX putative F-box protein, FRO ferric reduction oxidase, and PDR probable disease resistance protein. Current study provided unprecedented insights of purple carrot lines that can be potentially exploited for the screening and development of resilient carrot.
    32 schema:genre article
    33 schema:isAccessibleForFree false
    34 schema:isPartOf N298a01b7cec749ec901befbc24fbbd2f
    35 N3018f7b618424a9592d213251ca895d4
    36 sg:journal.1022614
    37 schema:keywords ABA
    38 ANP1
    39 DS
    40 F-box proteins
    41 RNA-seq analysis
    42 RNA-seq technique
    43 analysis
    44 behavior
    45 behavior contrary
    46 biochemical responses
    47 breeding lines
    48 carrot
    49 carrot lines
    50 comparative transcriptomics
    51 contrary
    52 crops
    53 current study
    54 detailed molecular mechanisms
    55 development
    56 differential regulation
    57 disease resistance proteins
    58 drought stress
    59 drought stress response
    60 elevated expression levels
    61 embryos 3
    62 expression levels
    63 factors
    64 genes
    65 geraniol
    66 higher upregulation
    67 information
    68 insights
    69 levels
    70 lines
    71 little information
    72 loss
    73 loss of quality
    74 main crop
    75 mechanism
    76 meristem region
    77 meristematic region
    78 mitogen
    79 molecular mechanisms
    80 nutritious vegetable crop
    81 oxidase
    82 parameters
    83 physio-biochemical parameters
    84 profile
    85 protein
    86 putative F-box protein
    87 qRT-PCR
    88 quality
    89 region
    90 regulation
    91 resistance protein
    92 response
    93 root transcriptome profiles
    94 screening
    95 stress
    96 stress levels
    97 stress response
    98 study
    99 technique
    100 tolerance behavior
    101 transcript gene
    102 transcription factors
    103 transcriptome profiles
    104 transcriptomics
    105 transcripts
    106 unprecedented insights
    107 upregulation
    108 validation
    109 vegetable crops
    110 vegetables
    111 yield
    112 schema:name Comparative transcriptomics of drought stress response of taproot meristem region of contrasting purple carrot breeding lines supported by physio-biochemical parameters
    113 schema:pagination 697-710
    114 schema:productId N2dfc74015c424be68fc9023f604bb0ec
    115 N7838de4fe4974ec991e3735708d1d3e0
    116 Ndcfc0a154d384abfb17d184409c65958
    117 schema:sameAs https://app.dimensions.ai/details/publication/pub.1147999081
    118 https://doi.org/10.1007/s10142-022-00868-2
    119 schema:sdDatePublished 2022-10-01T06:50
    120 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    121 schema:sdPublisher Nfd97cc87c8c54c61a15cf4da971fef7d
    122 schema:url https://doi.org/10.1007/s10142-022-00868-2
    123 sgo:license sg:explorer/license/
    124 sgo:sdDataset articles
    125 rdf:type schema:ScholarlyArticle
    126 N298a01b7cec749ec901befbc24fbbd2f schema:volumeNumber 22
    127 rdf:type schema:PublicationVolume
    128 N2dfc74015c424be68fc9023f604bb0ec schema:name pubmed_id
    129 schema:value 35590117
    130 rdf:type schema:PropertyValue
    131 N3018f7b618424a9592d213251ca895d4 schema:issueNumber 4
    132 rdf:type schema:PublicationIssue
    133 N449cabd1ab3c4dd6a8641a2a5ac8ec75 rdf:first sg:person.07371463020.38
    134 rdf:rest Nc716387044c24096b2be9c5d7298fc44
    135 N4a6831fc739e441d9e1576f375fd6ed4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    136 schema:name Gene Expression Regulation, Plant
    137 rdf:type schema:DefinedTerm
    138 N752cb837397c42caabf6623866d633c3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    139 schema:name Daucus carota
    140 rdf:type schema:DefinedTerm
    141 N7838de4fe4974ec991e3735708d1d3e0 schema:name dimensions_id
    142 schema:value pub.1147999081
    143 rdf:type schema:PropertyValue
    144 N798dae607ecf4b83916a9a3cd0448861 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    145 schema:name Stress, Physiological
    146 rdf:type schema:DefinedTerm
    147 N929ab3d0410744b896a436feae9350ec rdf:first sg:person.010373734457.94
    148 rdf:rest Ne752dd049b0e40e0b650b96b045d2652
    149 N9e849a3740c24f31831b60272410d3a9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    150 schema:name Plant Breeding
    151 rdf:type schema:DefinedTerm
    152 Nb04e1658fcbb46058e48ff81e7b74beb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    153 schema:name Meristem
    154 rdf:type schema:DefinedTerm
    155 Nb22be2b5a52d41308a16fb8cbc93debe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    156 schema:name Transcriptome
    157 rdf:type schema:DefinedTerm
    158 Nc716387044c24096b2be9c5d7298fc44 rdf:first sg:person.01135031234.44
    159 rdf:rest N929ab3d0410744b896a436feae9350ec
    160 Ncabdb6d78516447995fd57ff93f3e474 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    161 schema:name Gene Expression Profiling
    162 rdf:type schema:DefinedTerm
    163 Ndcfc0a154d384abfb17d184409c65958 schema:name doi
    164 schema:value 10.1007/s10142-022-00868-2
    165 rdf:type schema:PropertyValue
    166 Ne4e07099ca6949b3b26e265dac3a5a9e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    167 schema:name Droughts
    168 rdf:type schema:DefinedTerm
    169 Ne752dd049b0e40e0b650b96b045d2652 rdf:first sg:person.011571746024.79
    170 rdf:rest rdf:nil
    171 Nfd97cc87c8c54c61a15cf4da971fef7d schema:name Springer Nature - SN SciGraph project
    172 rdf:type schema:Organization
    173 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    174 schema:name Biological Sciences
    175 rdf:type schema:DefinedTerm
    176 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    177 schema:name Genetics
    178 rdf:type schema:DefinedTerm
    179 sg:journal.1022614 schema:issn 1438-793X
    180 1438-7948
    181 schema:name Functional & Integrative Genomics
    182 schema:publisher Springer Nature
    183 rdf:type schema:Periodical
    184 sg:person.010373734457.94 schema:affiliation grid-institutes:grid.412173.2
    185 schema:familyName Junaid
    186 schema:givenName Muhammad Daniyal
    187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010373734457.94
    188 rdf:type schema:Person
    189 sg:person.01135031234.44 schema:affiliation grid-institutes:grid.412173.2
    190 schema:familyName Gökçe
    191 schema:givenName Ali Fuat
    192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01135031234.44
    193 rdf:type schema:Person
    194 sg:person.011571746024.79 schema:affiliation grid-institutes:grid.412173.2
    195 schema:familyName Chaudhry
    196 schema:givenName Usman Khalid
    197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011571746024.79
    198 rdf:type schema:Person
    199 sg:person.07371463020.38 schema:affiliation grid-institutes:grid.412173.2
    200 schema:familyName Öztürk Gökçe
    201 schema:givenName Zahide Neslihan
    202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07371463020.38
    203 rdf:type schema:Person
    204 sg:pub.10.1007/bf00018060 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050593387
    205 https://doi.org/10.1007/bf00018060
    206 rdf:type schema:CreativeWork
    207 sg:pub.10.1007/bf02374789 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025395909
    208 https://doi.org/10.1007/bf02374789
    209 rdf:type schema:CreativeWork
    210 sg:pub.10.1007/s00425-019-03195-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1115986365
    211 https://doi.org/10.1007/s00425-019-03195-2
    212 rdf:type schema:CreativeWork
    213 sg:pub.10.1007/s00709-020-01570-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1132054573
    214 https://doi.org/10.1007/s00709-020-01570-5
    215 rdf:type schema:CreativeWork
    216 sg:pub.10.1007/s13205-018-1180-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101319346
    217 https://doi.org/10.1007/s13205-018-1180-8
    218 rdf:type schema:CreativeWork
    219 sg:pub.10.1007/s40415-020-00676-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1132865921
    220 https://doi.org/10.1007/s40415-020-00676-7
    221 rdf:type schema:CreativeWork
    222 sg:pub.10.1007/s42729-021-00522-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1138662200
    223 https://doi.org/10.1007/s42729-021-00522-z
    224 rdf:type schema:CreativeWork
    225 sg:pub.10.1038/nbt.3122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045760294
    226 https://doi.org/10.1038/nbt.3122
    227 rdf:type schema:CreativeWork
    228 sg:pub.10.1038/nmeth.3176 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023901695
    229 https://doi.org/10.1038/nmeth.3176
    230 rdf:type schema:CreativeWork
    231 sg:pub.10.1038/nprot.2013.084 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051115056
    232 https://doi.org/10.1038/nprot.2013.084
    233 rdf:type schema:CreativeWork
    234 sg:pub.10.1038/nrg2484 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030687647
    235 https://doi.org/10.1038/nrg2484
    236 rdf:type schema:CreativeWork
    237 sg:pub.10.1038/s41587-019-0201-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1120026584
    238 https://doi.org/10.1038/s41587-019-0201-4
    239 rdf:type schema:CreativeWork
    240 sg:pub.10.1038/s41598-022-07531-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1146005017
    241 https://doi.org/10.1038/s41598-022-07531-7
    242 rdf:type schema:CreativeWork
    243 sg:pub.10.1186/s12864-018-5135-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109785475
    244 https://doi.org/10.1186/s12864-018-5135-6
    245 rdf:type schema:CreativeWork
    246 sg:pub.10.1186/s12870-018-1600-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111096988
    247 https://doi.org/10.1186/s12870-018-1600-2
    248 rdf:type schema:CreativeWork
    249 sg:pub.10.1186/s12870-020-02777-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1134274514
    250 https://doi.org/10.1186/s12870-020-02777-7
    251 rdf:type schema:CreativeWork
    252 sg:pub.10.1186/s12870-021-03391-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1144372891
    253 https://doi.org/10.1186/s12870-021-03391-x
    254 rdf:type schema:CreativeWork
    255 grid-institutes:grid.412173.2 schema:alternateName Department of Agricultural Genetic Engineering, Ayhan Şahenk Faculty of Agricultural Sciences and Technologies, Niğde Ömer Halisdemir University, Niğde, Turkey
    256 schema:name Department of Agricultural Genetic Engineering, Ayhan Şahenk Faculty of Agricultural Sciences and Technologies, Niğde Ömer Halisdemir University, Niğde, Turkey
    257 rdf:type schema:Organization
     




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


    ...