SNP marker development in Pinus sylvestris L. in stress-responsive genes characterized from Pinus cembra L. transcriptomes View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2020-05-19

AUTHORS

Zoltán A. Köbölkuti, Endre Gy. Tóth, Daniela Jahn, Berthold Heinze, Mária Höhn

ABSTRACT

Massively parallel sequencing of cDNA is an efficient route for generating sequence collections that represent expressed genes under different environmental control. The analysis of their sequence helps in developing molecular markers, such as SNPs, which represent a useful tool in detecting adaptive signals in populations. In this study novel PCR markers, based on stress responsive genes, were designed from the transcriptome of the haploxylon Swiss stone pine (Pinus cembra L.) and tested for SNPs in the diploxylon Scots pine (Pinus sylvestris L.). 84 primers were tested on P. sylvestris DNA samples originating from three different types of habitat. After sequencing and BLAST search of the amplified products, parts of 19 different candidate genes were analysed by considering the polymorphic sites, insertions/deletions as well as synonymous and non-synonymous SNPs. In a total of 3735 sites no indels, eight synonymous and 11 non-synonymous SNPs were found. By providing de novo molecular markers developed in P. cembra and tested for transferability in Scots pine, our results give support for the use of de novo markers targeting conserved regions across different pines. The SNPs detected may have important applications in further studies of adaptive genetic variation, providing tools to study relevant genes important in the long-term adaptation of pine species. More... »

PAGES

4841-4847

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11033-020-05527-y

DOI

http://dx.doi.org/10.1007/s11033-020-05527-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1127738953

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/32430847


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": "DNA Primers", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genotype", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "High-Throughput Nucleotide Sequencing", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pinus", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pinus sylvestris", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polymorphism, Single Nucleotide", 
        "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 Breeding, National Agricultural Research and Innovation Centre, Forest Research Institute, V\u00e1rker\u00fclet 30/A, 9600, S\u00e1rv\u00e1r, Hungary", 
          "id": "http://www.grid.ac/institutes/grid.481832.4", 
          "name": [
            "Department of Botany, Faculty of Horticulture, Szent Istv\u00e1n University, M\u00e9nesi \u00fat 44, 1118, Budapest, Hungary", 
            "Department of Breeding, National Agricultural Research and Innovation Centre, Forest Research Institute, V\u00e1rker\u00fclet 30/A, 9600, S\u00e1rv\u00e1r, Hungary"
          ], 
          "type": "Organization"
        }, 
        "familyName": "K\u00f6b\u00f6lkuti", 
        "givenName": "Zolt\u00e1n A.", 
        "id": "sg:person.016227207315.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016227207315.99"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Forest Research Institute (IRF), University of Quebec in Abitibi-T\u00e9miscamingue UQAT, 445 Boul. de l\u2019Universit\u00e9, J9X 5E4, Rouyn-Noranda, QC, Canada", 
          "id": "http://www.grid.ac/institutes/grid.265695.b", 
          "name": [
            "Department of Breeding, National Agricultural Research and Innovation Centre, Forest Research Institute, V\u00e1rker\u00fclet 30/A, 9600, S\u00e1rv\u00e1r, Hungary", 
            "Forest Research Institute (IRF), University of Quebec in Abitibi-T\u00e9miscamingue UQAT, 445 Boul. de l\u2019Universit\u00e9, J9X 5E4, Rouyn-Noranda, QC, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "T\u00f3th", 
        "givenName": "Endre Gy.", 
        "id": "sg:person.016000433767.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016000433767.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Federal Research and Training Centre for Forests, Natural Hazards and Landscape (BFW), Seckendorff-Gudent-Weg 8, 1130, Vienna, Austria", 
          "id": "http://www.grid.ac/institutes/grid.425121.1", 
          "name": [
            "Federal Research and Training Centre for Forests, Natural Hazards and Landscape (BFW), Seckendorff-Gudent-Weg 8, 1130, Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jahn", 
        "givenName": "Daniela", 
        "id": "sg:person.0734107014.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734107014.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Federal Research and Training Centre for Forests, Natural Hazards and Landscape (BFW), Seckendorff-Gudent-Weg 8, 1130, Vienna, Austria", 
          "id": "http://www.grid.ac/institutes/grid.425121.1", 
          "name": [
            "Federal Research and Training Centre for Forests, Natural Hazards and Landscape (BFW), Seckendorff-Gudent-Weg 8, 1130, Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Heinze", 
        "givenName": "Berthold", 
        "id": "sg:person.0766470420.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0766470420.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Botany, Faculty of Horticulture, Szent Istv\u00e1n University, M\u00e9nesi \u00fat 44, 1118, Budapest, Hungary", 
          "id": "http://www.grid.ac/institutes/grid.129553.9", 
          "name": [
            "Department of Botany, Faculty of Horticulture, Szent Istv\u00e1n University, M\u00e9nesi \u00fat 44, 1118, Budapest, Hungary"
          ], 
          "type": "Organization"
        }, 
        "familyName": "H\u00f6hn", 
        "givenName": "M\u00e1ria", 
        "id": "sg:person.0603072063.93", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0603072063.93"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00122-004-1635-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046117731", 
          "https://doi.org/10.1007/s00122-004-1635-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11676-017-0393-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084806965", 
          "https://doi.org/10.1007/s11676-017-0393-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11295-017-1137-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084030936", 
          "https://doi.org/10.1007/s11295-017-1137-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-11-180", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031611439", 
          "https://doi.org/10.1186/1471-2164-11-180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/20859", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025685478", 
          "https://doi.org/10.1038/20859"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12686-013-9859-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047854073", 
          "https://doi.org/10.1007/s12686-013-9859-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11295-015-0944-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018697154", 
          "https://doi.org/10.1007/s11295-015-0944-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature12211", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052388928", 
          "https://doi.org/10.1038/nature12211"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1005901413475", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040125910", 
          "https://doi.org/10.1023/a:1005901413475"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00122-001-0794-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014868914", 
          "https://doi.org/10.1007/s00122-001-0794-z"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2020-05-19", 
    "datePublishedReg": "2020-05-19", 
    "description": "Massively parallel sequencing of cDNA is an efficient route for generating sequence collections that represent expressed genes under different environmental control. The analysis of their sequence helps in developing molecular markers, such as SNPs, which represent a useful tool in detecting adaptive signals in populations. In this study novel PCR markers, based on stress responsive genes, were designed from the transcriptome of the haploxylon Swiss stone pine (Pinus cembra L.) and tested for SNPs in the diploxylon Scots pine (Pinus sylvestris L.). 84 primers were tested on P. sylvestris DNA samples originating from three different types of habitat. After sequencing and BLAST search of the amplified products, parts of 19 different candidate genes were analysed by considering the polymorphic sites, insertions/deletions as well as synonymous and non-synonymous SNPs. In a total of 3735 sites no indels, eight synonymous and 11 non-synonymous SNPs were found. By providing de novo molecular markers developed in P. cembra and tested for transferability in Scots pine, our results give support for the use of de novo markers targeting conserved regions across different pines. The SNPs detected may have important applications in further studies of adaptive genetic variation, providing tools to study relevant genes important in the long-term adaptation of pine species.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s11033-020-05527-y", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.5491758", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1018503", 
        "issn": [
          "0301-4851", 
          "1573-4978"
        ], 
        "name": "Molecular Biology Reports", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "47"
      }
    ], 
    "keywords": [
      "stress-responsive genes", 
      "non-synonymous SNPs", 
      "molecular markers", 
      "adaptive genetic variation", 
      "SNP marker development", 
      "de novo markers", 
      "insertions/deletions", 
      "different candidate genes", 
      "marker development", 
      "Swiss stone pine", 
      "responsive genes", 
      "PCR markers", 
      "genetic variation", 
      "Pinus cembra L.", 
      "BLAST search", 
      "candidate genes", 
      "parallel sequencing", 
      "relevant genes", 
      "pine species", 
      "different pines", 
      "Pinus sylvestris L.", 
      "sequence collections", 
      "genes", 
      "long-term adaptation", 
      "polymorphic sites", 
      "P. cembra", 
      "SNPs", 
      "different environmental controls", 
      "sylvestris L.", 
      "DNA samples", 
      "stone pine", 
      "adaptive signal", 
      "sequencing", 
      "environmental control", 
      "L.", 
      "pine", 
      "transcriptome", 
      "habitats", 
      "markers", 
      "indels", 
      "cDNA", 
      "Scots", 
      "species", 
      "deletion", 
      "sites", 
      "cembra", 
      "primers", 
      "sequence", 
      "useful tool", 
      "adaptation", 
      "Further studies", 
      "population", 
      "region", 
      "variation", 
      "signals", 
      "tool", 
      "development", 
      "analysis", 
      "different types", 
      "collection", 
      "transferability", 
      "types", 
      "products", 
      "control", 
      "part", 
      "study", 
      "total", 
      "results", 
      "important applications", 
      "samples", 
      "route", 
      "search", 
      "use", 
      "applications", 
      "support", 
      "efficient route"
    ], 
    "name": "SNP marker development in Pinus sylvestris L. in stress-responsive genes characterized from Pinus cembra L. transcriptomes", 
    "pagination": "4841-4847", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1127738953"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11033-020-05527-y"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "32430847"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11033-020-05527-y", 
      "https://app.dimensions.ai/details/publication/pub.1127738953"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-06-01T22:23", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220601/entities/gbq_results/article/article_867.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s11033-020-05527-y"
  }
]
 

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/s11033-020-05527-y'

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/s11033-020-05527-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11033-020-05527-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11033-020-05527-y'


 

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

251 TRIPLES      22 PREDICATES      120 URIs      102 LITERALS      15 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11033-020-05527-y schema:about N118b3c00aa5f4f29964743eca22a58bc
2 N1ca673cb704943159e3f25b32f2bb93b
3 N7eb31b5e5dfe421898b89cd5171a455f
4 N913b06d8930748708c2b4dbe3104ede5
5 N94744c20579f49fb8fc63b6f5c308bc7
6 N9a31fba926c94442b24707ff8db74347
7 Nb9112fb824e843d0825b10fc1c899753
8 Nca280316bdb64e3b9af987e0608bd7ce
9 anzsrc-for:06
10 anzsrc-for:0604
11 schema:author N42dd097bda1b4f12a42935731a3c2fad
12 schema:citation sg:pub.10.1007/s00122-001-0794-z
13 sg:pub.10.1007/s00122-004-1635-7
14 sg:pub.10.1007/s11295-015-0944-0
15 sg:pub.10.1007/s11295-017-1137-9
16 sg:pub.10.1007/s11676-017-0393-8
17 sg:pub.10.1007/s12686-013-9859-y
18 sg:pub.10.1023/a:1005901413475
19 sg:pub.10.1038/20859
20 sg:pub.10.1038/nature12211
21 sg:pub.10.1186/1471-2164-11-180
22 schema:datePublished 2020-05-19
23 schema:datePublishedReg 2020-05-19
24 schema:description Massively parallel sequencing of cDNA is an efficient route for generating sequence collections that represent expressed genes under different environmental control. The analysis of their sequence helps in developing molecular markers, such as SNPs, which represent a useful tool in detecting adaptive signals in populations. In this study novel PCR markers, based on stress responsive genes, were designed from the transcriptome of the haploxylon Swiss stone pine (Pinus cembra L.) and tested for SNPs in the diploxylon Scots pine (Pinus sylvestris L.). 84 primers were tested on P. sylvestris DNA samples originating from three different types of habitat. After sequencing and BLAST search of the amplified products, parts of 19 different candidate genes were analysed by considering the polymorphic sites, insertions/deletions as well as synonymous and non-synonymous SNPs. In a total of 3735 sites no indels, eight synonymous and 11 non-synonymous SNPs were found. By providing de novo molecular markers developed in P. cembra and tested for transferability in Scots pine, our results give support for the use of de novo markers targeting conserved regions across different pines. The SNPs detected may have important applications in further studies of adaptive genetic variation, providing tools to study relevant genes important in the long-term adaptation of pine species.
25 schema:genre article
26 schema:inLanguage en
27 schema:isAccessibleForFree true
28 schema:isPartOf N099d89a678574c70ad37a9e85c358a46
29 Nffe7920b5b184e24ab8b8a43ca0e5ef4
30 sg:journal.1018503
31 schema:keywords BLAST search
32 DNA samples
33 Further studies
34 L.
35 P. cembra
36 PCR markers
37 Pinus cembra L.
38 Pinus sylvestris L.
39 SNP marker development
40 SNPs
41 Scots
42 Swiss stone pine
43 adaptation
44 adaptive genetic variation
45 adaptive signal
46 analysis
47 applications
48 cDNA
49 candidate genes
50 cembra
51 collection
52 control
53 de novo markers
54 deletion
55 development
56 different candidate genes
57 different environmental controls
58 different pines
59 different types
60 efficient route
61 environmental control
62 genes
63 genetic variation
64 habitats
65 important applications
66 indels
67 insertions/deletions
68 long-term adaptation
69 marker development
70 markers
71 molecular markers
72 non-synonymous SNPs
73 parallel sequencing
74 part
75 pine
76 pine species
77 polymorphic sites
78 population
79 primers
80 products
81 region
82 relevant genes
83 responsive genes
84 results
85 route
86 samples
87 search
88 sequence
89 sequence collections
90 sequencing
91 signals
92 sites
93 species
94 stone pine
95 stress-responsive genes
96 study
97 support
98 sylvestris L.
99 tool
100 total
101 transcriptome
102 transferability
103 types
104 use
105 useful tool
106 variation
107 schema:name SNP marker development in Pinus sylvestris L. in stress-responsive genes characterized from Pinus cembra L. transcriptomes
108 schema:pagination 4841-4847
109 schema:productId N8508b6ef007e45c29a3a989cd5f3dde6
110 N9935ef551f264d638041c919235abe1c
111 Nacfa05199b0a42fe8e232c453504743a
112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1127738953
113 https://doi.org/10.1007/s11033-020-05527-y
114 schema:sdDatePublished 2022-06-01T22:23
115 schema:sdLicense https://scigraph.springernature.com/explorer/license/
116 schema:sdPublisher N9823ce15faaf4a688ae772b498579983
117 schema:url https://doi.org/10.1007/s11033-020-05527-y
118 sgo:license sg:explorer/license/
119 sgo:sdDataset articles
120 rdf:type schema:ScholarlyArticle
121 N099d89a678574c70ad37a9e85c358a46 schema:volumeNumber 47
122 rdf:type schema:PublicationVolume
123 N118b3c00aa5f4f29964743eca22a58bc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Pinus sylvestris
125 rdf:type schema:DefinedTerm
126 N1ca673cb704943159e3f25b32f2bb93b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Polymorphism, Single Nucleotide
128 rdf:type schema:DefinedTerm
129 N42dd097bda1b4f12a42935731a3c2fad rdf:first sg:person.016227207315.99
130 rdf:rest Na70753178cc24d42b918acc45f164ce1
131 N7eb31b5e5dfe421898b89cd5171a455f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Genotype
133 rdf:type schema:DefinedTerm
134 N832a7ed80b52401db407ae828e31c7c3 rdf:first sg:person.0734107014.00
135 rdf:rest Na2547a9d569748a880e2d22ba6e2fe79
136 N8508b6ef007e45c29a3a989cd5f3dde6 schema:name doi
137 schema:value 10.1007/s11033-020-05527-y
138 rdf:type schema:PropertyValue
139 N913b06d8930748708c2b4dbe3104ede5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Stress, Physiological
141 rdf:type schema:DefinedTerm
142 N94744c20579f49fb8fc63b6f5c308bc7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name DNA Primers
144 rdf:type schema:DefinedTerm
145 N9823ce15faaf4a688ae772b498579983 schema:name Springer Nature - SN SciGraph project
146 rdf:type schema:Organization
147 N9935ef551f264d638041c919235abe1c schema:name dimensions_id
148 schema:value pub.1127738953
149 rdf:type schema:PropertyValue
150 N9a31fba926c94442b24707ff8db74347 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Transcriptome
152 rdf:type schema:DefinedTerm
153 Na2547a9d569748a880e2d22ba6e2fe79 rdf:first sg:person.0766470420.90
154 rdf:rest Nb5583c9a8a074bd5a8b63f92561861c9
155 Na70753178cc24d42b918acc45f164ce1 rdf:first sg:person.016000433767.03
156 rdf:rest N832a7ed80b52401db407ae828e31c7c3
157 Nacfa05199b0a42fe8e232c453504743a schema:name pubmed_id
158 schema:value 32430847
159 rdf:type schema:PropertyValue
160 Nb5583c9a8a074bd5a8b63f92561861c9 rdf:first sg:person.0603072063.93
161 rdf:rest rdf:nil
162 Nb9112fb824e843d0825b10fc1c899753 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
163 schema:name High-Throughput Nucleotide Sequencing
164 rdf:type schema:DefinedTerm
165 Nca280316bdb64e3b9af987e0608bd7ce schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
166 schema:name Pinus
167 rdf:type schema:DefinedTerm
168 Nffe7920b5b184e24ab8b8a43ca0e5ef4 schema:issueNumber 6
169 rdf:type schema:PublicationIssue
170 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
171 schema:name Biological Sciences
172 rdf:type schema:DefinedTerm
173 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
174 schema:name Genetics
175 rdf:type schema:DefinedTerm
176 sg:grant.5491758 http://pending.schema.org/fundedItem sg:pub.10.1007/s11033-020-05527-y
177 rdf:type schema:MonetaryGrant
178 sg:journal.1018503 schema:issn 0301-4851
179 1573-4978
180 schema:name Molecular Biology Reports
181 schema:publisher Springer Nature
182 rdf:type schema:Periodical
183 sg:person.016000433767.03 schema:affiliation grid-institutes:grid.265695.b
184 schema:familyName Tóth
185 schema:givenName Endre Gy.
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016000433767.03
187 rdf:type schema:Person
188 sg:person.016227207315.99 schema:affiliation grid-institutes:grid.481832.4
189 schema:familyName Köbölkuti
190 schema:givenName Zoltán A.
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016227207315.99
192 rdf:type schema:Person
193 sg:person.0603072063.93 schema:affiliation grid-institutes:grid.129553.9
194 schema:familyName Höhn
195 schema:givenName Mária
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0603072063.93
197 rdf:type schema:Person
198 sg:person.0734107014.00 schema:affiliation grid-institutes:grid.425121.1
199 schema:familyName Jahn
200 schema:givenName Daniela
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734107014.00
202 rdf:type schema:Person
203 sg:person.0766470420.90 schema:affiliation grid-institutes:grid.425121.1
204 schema:familyName Heinze
205 schema:givenName Berthold
206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0766470420.90
207 rdf:type schema:Person
208 sg:pub.10.1007/s00122-001-0794-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1014868914
209 https://doi.org/10.1007/s00122-001-0794-z
210 rdf:type schema:CreativeWork
211 sg:pub.10.1007/s00122-004-1635-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046117731
212 https://doi.org/10.1007/s00122-004-1635-7
213 rdf:type schema:CreativeWork
214 sg:pub.10.1007/s11295-015-0944-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018697154
215 https://doi.org/10.1007/s11295-015-0944-0
216 rdf:type schema:CreativeWork
217 sg:pub.10.1007/s11295-017-1137-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084030936
218 https://doi.org/10.1007/s11295-017-1137-9
219 rdf:type schema:CreativeWork
220 sg:pub.10.1007/s11676-017-0393-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084806965
221 https://doi.org/10.1007/s11676-017-0393-8
222 rdf:type schema:CreativeWork
223 sg:pub.10.1007/s12686-013-9859-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1047854073
224 https://doi.org/10.1007/s12686-013-9859-y
225 rdf:type schema:CreativeWork
226 sg:pub.10.1023/a:1005901413475 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040125910
227 https://doi.org/10.1023/a:1005901413475
228 rdf:type schema:CreativeWork
229 sg:pub.10.1038/20859 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025685478
230 https://doi.org/10.1038/20859
231 rdf:type schema:CreativeWork
232 sg:pub.10.1038/nature12211 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052388928
233 https://doi.org/10.1038/nature12211
234 rdf:type schema:CreativeWork
235 sg:pub.10.1186/1471-2164-11-180 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031611439
236 https://doi.org/10.1186/1471-2164-11-180
237 rdf:type schema:CreativeWork
238 grid-institutes:grid.129553.9 schema:alternateName Department of Botany, Faculty of Horticulture, Szent István University, Ménesi út 44, 1118, Budapest, Hungary
239 schema:name Department of Botany, Faculty of Horticulture, Szent István University, Ménesi út 44, 1118, Budapest, Hungary
240 rdf:type schema:Organization
241 grid-institutes:grid.265695.b schema:alternateName Forest Research Institute (IRF), University of Quebec in Abitibi-Témiscamingue UQAT, 445 Boul. de l’Université, J9X 5E4, Rouyn-Noranda, QC, Canada
242 schema:name Department of Breeding, National Agricultural Research and Innovation Centre, Forest Research Institute, Várkerület 30/A, 9600, Sárvár, Hungary
243 Forest Research Institute (IRF), University of Quebec in Abitibi-Témiscamingue UQAT, 445 Boul. de l’Université, J9X 5E4, Rouyn-Noranda, QC, Canada
244 rdf:type schema:Organization
245 grid-institutes:grid.425121.1 schema:alternateName Federal Research and Training Centre for Forests, Natural Hazards and Landscape (BFW), Seckendorff-Gudent-Weg 8, 1130, Vienna, Austria
246 schema:name Federal Research and Training Centre for Forests, Natural Hazards and Landscape (BFW), Seckendorff-Gudent-Weg 8, 1130, Vienna, Austria
247 rdf:type schema:Organization
248 grid-institutes:grid.481832.4 schema:alternateName Department of Breeding, National Agricultural Research and Innovation Centre, Forest Research Institute, Várkerület 30/A, 9600, Sárvár, Hungary
249 schema:name Department of Botany, Faculty of Horticulture, Szent István University, Ménesi út 44, 1118, Budapest, Hungary
250 Department of Breeding, National Agricultural Research and Innovation Centre, Forest Research Institute, Várkerület 30/A, 9600, Sárvár, Hungary
251 rdf:type schema:Organization
 




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


...