Epigenetic responses to drought stress in rice (Oryza sativa L.) View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-04-24

AUTHORS

Gayacharan, A. John Joel

ABSTRACT

Cytosine methylation polymorphism plays a key role in gene regulation, mainly in expression of genes in crop plants. The differential expression of cytosine methylation over drought stress response was analyzed in rice using drought susceptible but agronomically superior lines IR 20 and CO 43, and drought tolerant genotypes PL and PMK 3 and their F1 hybrids. The parents and hybrids were subjected to two moisture regimes viz., one under drought condition and another under control condition. The cytosine methylation polymorphism in genomic DNA was quantified under both the conditions at the reproductive stage of the plant using the Methylation Sensitive Amplified Polymorphism (MSAP) technique devised by Xiong et al. (261:439–446, 1999). The results depicted that under drought condition, hyper-methylation was predominant in the drought susceptible genotypes while drought tolerant genotypes presented hypo-methylation behavior. While imposing drought, spikelet sterility per cent was positively correlated to percentage of methylation whereas, panicle length, number of seed per panicle, panicle weight, 100 seed weight, and yield/plant were negatively correlated indicating the role of epigenetic regulation in yield attributing traits in response to drought. Thus, methylation can be considered as an important epigenetic regulatory mechanism in rice plants to adapt drought situation. From this study, we speculate that the hyper- methylation may be an indicator of drought susceptibility and the hypo-methylation for drought tolerance and this methylation polymorphism can be effectively used in drought screening program. More... »

PAGES

379-387

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12298-013-0176-4

DOI

http://dx.doi.org/10.1007/s12298-013-0176-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1035203014

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24431506


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/2008/07", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Agricultural and Veterinary 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"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0607", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Plant Biology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0703", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Crop and Pasture Production", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Division of Plant Genetic Resources, Indian Agricultural Research Institute, 110012, New Delhi, India", 
          "id": "http://www.grid.ac/institutes/grid.418196.3", 
          "name": [
            "Division of Plant Genetic Resources, Indian Agricultural Research Institute, 110012, New Delhi, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gayacharan", 
        "id": "sg:person.013545406407.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013545406407.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Plant Genetic Resources, Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, 641 003, Coimbatore, India", 
          "id": "http://www.grid.ac/institutes/grid.412906.8", 
          "name": [
            "Department of Plant Genetic Resources, Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, 641 003, Coimbatore, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Joel", 
        "givenName": "A. John", 
        "id": "sg:person.01312657631.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01312657631.40"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/bf00223181", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011122902", 
          "https://doi.org/10.1007/bf00223181"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00018-004-4184-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012914985", 
          "https://doi.org/10.1007/s00018-004-4184-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s004380050986", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047572081", 
          "https://doi.org/10.1007/s004380050986"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02672076", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038583671", 
          "https://doi.org/10.1007/bf02672076"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11103-005-8881-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013924910", 
          "https://doi.org/10.1007/s11103-005-8881-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/leu.2010.41", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025642633", 
          "https://doi.org/10.1038/leu.2010.41"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-13-27", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020992720", 
          "https://doi.org/10.1186/1471-2164-13-27"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-04-24", 
    "datePublishedReg": "2013-04-24", 
    "description": "Cytosine methylation polymorphism plays a key role in gene regulation, mainly in expression of genes in crop plants. The differential expression of cytosine methylation over drought stress response was analyzed in rice using drought susceptible but agronomically superior lines IR 20 and CO 43, and drought tolerant genotypes PL and PMK 3 and their F1 hybrids. The parents and hybrids were subjected to two moisture regimes viz., one under drought condition and another under control condition. The cytosine methylation polymorphism in genomic DNA was quantified under both the conditions at the reproductive stage of the plant using the Methylation Sensitive Amplified Polymorphism (MSAP) technique devised by Xiong et al. (261:439\u2013446, 1999). The results depicted that under drought condition, hyper-methylation was predominant in the drought susceptible genotypes while drought tolerant genotypes presented hypo-methylation behavior. While imposing drought, spikelet sterility per cent was positively correlated to percentage of methylation whereas, panicle length, number of seed per panicle, panicle weight, 100 seed weight, and yield/plant were negatively correlated indicating the role of epigenetic regulation in yield attributing traits in response to drought. Thus, methylation can be considered as an important epigenetic regulatory mechanism in rice plants to adapt drought situation. From this study, we speculate that the hyper- methylation may be an indicator of drought susceptibility and the hypo-methylation for drought tolerance and this methylation polymorphism can be effectively used in drought screening program.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s12298-013-0176-4", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1038571", 
        "issn": [
          "0971-5894", 
          "0974-0430"
        ], 
        "name": "Physiology and Molecular Biology of Plants", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "19"
      }
    ], 
    "keywords": [
      "methylation polymorphism", 
      "Methylation Sensitive Amplified Polymorphism (MSAP) technique", 
      "drought conditions", 
      "important epigenetic regulatory mechanism", 
      "drought stress response", 
      "drought-susceptible genotypes", 
      "epigenetic regulatory mechanisms", 
      "drought-tolerant genotypes", 
      "yield attributing traits", 
      "yield/plant", 
      "number of seeds", 
      "expression of genes", 
      "PMK-3", 
      "crop plants", 
      "drought tolerance", 
      "cytosine methylation", 
      "panicle length", 
      "panicle weight", 
      "attributing traits", 
      "gene regulation", 
      "tolerant genotypes", 
      "spikelet sterility", 
      "epigenetic regulation", 
      "drought stress", 
      "seed weight", 
      "drought susceptibility", 
      "epigenetic responses", 
      "CO 43", 
      "susceptible genotypes", 
      "regimes viz", 
      "reproductive stage", 
      "rice plants", 
      "IR 20", 
      "genomic DNA", 
      "percentage of methylation", 
      "regulatory mechanisms", 
      "F1 hybrids", 
      "stress response", 
      "drought situation", 
      "differential expression", 
      "drought", 
      "methylation", 
      "plants", 
      "rice", 
      "genotypes", 
      "polymorphism", 
      "hybrids", 
      "regulation", 
      "polymorphism technique", 
      "Xiong et al", 
      "key role", 
      "expression", 
      "panicle", 
      "genes", 
      "seeds", 
      "traits", 
      "sterility", 
      "DNA", 
      "weight", 
      "tolerance", 
      "role", 
      "response", 
      "viz", 
      "conditions", 
      "mechanism", 
      "stress", 
      "susceptibility", 
      "control condition", 
      "percentage", 
      "parents", 
      "indicators", 
      "program", 
      "stage", 
      "length", 
      "cent", 
      "number", 
      "study", 
      "situation", 
      "results", 
      "PL", 
      "et al", 
      "al", 
      "behavior", 
      "technique", 
      "screening program", 
      "Cytosine methylation polymorphism", 
      "superior lines IR 20", 
      "lines IR 20", 
      "drought tolerant genotypes PL", 
      "tolerant genotypes PL", 
      "genotypes PL", 
      "moisture regimes viz", 
      "Sensitive Amplified Polymorphism (MSAP) technique", 
      "Amplified Polymorphism (MSAP) technique", 
      "hypo-methylation behavior", 
      "drought screening program"
    ], 
    "name": "Epigenetic responses to drought stress in rice (Oryza sativa L.)", 
    "pagination": "379-387", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1035203014"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12298-013-0176-4"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24431506"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12298-013-0176-4", 
      "https://app.dimensions.ai/details/publication/pub.1035203014"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T18:29", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_595.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s12298-013-0176-4"
  }
]
 

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/s12298-013-0176-4'

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/s12298-013-0176-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12298-013-0176-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12298-013-0176-4'


 

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

207 TRIPLES      22 PREDICATES      132 URIs      114 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12298-013-0176-4 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 anzsrc-for:0607
4 anzsrc-for:07
5 anzsrc-for:0703
6 schema:author N9f74701fcc5d46069d5f2935bec0cd7d
7 schema:citation sg:pub.10.1007/bf00223181
8 sg:pub.10.1007/bf02672076
9 sg:pub.10.1007/s00018-004-4184-y
10 sg:pub.10.1007/s004380050986
11 sg:pub.10.1007/s11103-005-8881-1
12 sg:pub.10.1038/leu.2010.41
13 sg:pub.10.1186/1471-2164-13-27
14 schema:datePublished 2013-04-24
15 schema:datePublishedReg 2013-04-24
16 schema:description Cytosine methylation polymorphism plays a key role in gene regulation, mainly in expression of genes in crop plants. The differential expression of cytosine methylation over drought stress response was analyzed in rice using drought susceptible but agronomically superior lines IR 20 and CO 43, and drought tolerant genotypes PL and PMK 3 and their F1 hybrids. The parents and hybrids were subjected to two moisture regimes viz., one under drought condition and another under control condition. The cytosine methylation polymorphism in genomic DNA was quantified under both the conditions at the reproductive stage of the plant using the Methylation Sensitive Amplified Polymorphism (MSAP) technique devised by Xiong et al. (261:439–446, 1999). The results depicted that under drought condition, hyper-methylation was predominant in the drought susceptible genotypes while drought tolerant genotypes presented hypo-methylation behavior. While imposing drought, spikelet sterility per cent was positively correlated to percentage of methylation whereas, panicle length, number of seed per panicle, panicle weight, 100 seed weight, and yield/plant were negatively correlated indicating the role of epigenetic regulation in yield attributing traits in response to drought. Thus, methylation can be considered as an important epigenetic regulatory mechanism in rice plants to adapt drought situation. From this study, we speculate that the hyper- methylation may be an indicator of drought susceptibility and the hypo-methylation for drought tolerance and this methylation polymorphism can be effectively used in drought screening program.
17 schema:genre article
18 schema:inLanguage en
19 schema:isAccessibleForFree true
20 schema:isPartOf N7136ac7e4ece423f8e570fb4bf7145ea
21 Nc1a4f7a728124aafae19c92868fa4764
22 sg:journal.1038571
23 schema:keywords Amplified Polymorphism (MSAP) technique
24 CO 43
25 Cytosine methylation polymorphism
26 DNA
27 F1 hybrids
28 IR 20
29 Methylation Sensitive Amplified Polymorphism (MSAP) technique
30 PL
31 PMK-3
32 Sensitive Amplified Polymorphism (MSAP) technique
33 Xiong et al
34 al
35 attributing traits
36 behavior
37 cent
38 conditions
39 control condition
40 crop plants
41 cytosine methylation
42 differential expression
43 drought
44 drought conditions
45 drought screening program
46 drought situation
47 drought stress
48 drought stress response
49 drought susceptibility
50 drought tolerance
51 drought tolerant genotypes PL
52 drought-susceptible genotypes
53 drought-tolerant genotypes
54 epigenetic regulation
55 epigenetic regulatory mechanisms
56 epigenetic responses
57 et al
58 expression
59 expression of genes
60 gene regulation
61 genes
62 genomic DNA
63 genotypes
64 genotypes PL
65 hybrids
66 hypo-methylation behavior
67 important epigenetic regulatory mechanism
68 indicators
69 key role
70 length
71 lines IR 20
72 mechanism
73 methylation
74 methylation polymorphism
75 moisture regimes viz
76 number
77 number of seeds
78 panicle
79 panicle length
80 panicle weight
81 parents
82 percentage
83 percentage of methylation
84 plants
85 polymorphism
86 polymorphism technique
87 program
88 regimes viz
89 regulation
90 regulatory mechanisms
91 reproductive stage
92 response
93 results
94 rice
95 rice plants
96 role
97 screening program
98 seed weight
99 seeds
100 situation
101 spikelet sterility
102 stage
103 sterility
104 stress
105 stress response
106 study
107 superior lines IR 20
108 susceptibility
109 susceptible genotypes
110 technique
111 tolerance
112 tolerant genotypes
113 tolerant genotypes PL
114 traits
115 viz
116 weight
117 yield attributing traits
118 yield/plant
119 schema:name Epigenetic responses to drought stress in rice (Oryza sativa L.)
120 schema:pagination 379-387
121 schema:productId N0b7aa61e6dd14c85a43b309c0b83a8ac
122 N14f66ae5d6ff4379a07cc8f5e94d99ba
123 N70ec26737fa54310bcc2bd9b0d15236b
124 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035203014
125 https://doi.org/10.1007/s12298-013-0176-4
126 schema:sdDatePublished 2022-01-01T18:29
127 schema:sdLicense https://scigraph.springernature.com/explorer/license/
128 schema:sdPublisher N046e923444a647e696ca587643de54cb
129 schema:url https://doi.org/10.1007/s12298-013-0176-4
130 sgo:license sg:explorer/license/
131 sgo:sdDataset articles
132 rdf:type schema:ScholarlyArticle
133 N046e923444a647e696ca587643de54cb schema:name Springer Nature - SN SciGraph project
134 rdf:type schema:Organization
135 N0b7aa61e6dd14c85a43b309c0b83a8ac schema:name pubmed_id
136 schema:value 24431506
137 rdf:type schema:PropertyValue
138 N14f66ae5d6ff4379a07cc8f5e94d99ba schema:name doi
139 schema:value 10.1007/s12298-013-0176-4
140 rdf:type schema:PropertyValue
141 N70ec26737fa54310bcc2bd9b0d15236b schema:name dimensions_id
142 schema:value pub.1035203014
143 rdf:type schema:PropertyValue
144 N7136ac7e4ece423f8e570fb4bf7145ea schema:volumeNumber 19
145 rdf:type schema:PublicationVolume
146 N9f74701fcc5d46069d5f2935bec0cd7d rdf:first sg:person.013545406407.82
147 rdf:rest Ncaa7d3bd43274c52a91aee361e7f7513
148 Nc1a4f7a728124aafae19c92868fa4764 schema:issueNumber 3
149 rdf:type schema:PublicationIssue
150 Ncaa7d3bd43274c52a91aee361e7f7513 rdf:first sg:person.01312657631.40
151 rdf:rest rdf:nil
152 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
153 schema:name Biological Sciences
154 rdf:type schema:DefinedTerm
155 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
156 schema:name Genetics
157 rdf:type schema:DefinedTerm
158 anzsrc-for:0607 schema:inDefinedTermSet anzsrc-for:
159 schema:name Plant Biology
160 rdf:type schema:DefinedTerm
161 anzsrc-for:07 schema:inDefinedTermSet anzsrc-for:
162 schema:name Agricultural and Veterinary Sciences
163 rdf:type schema:DefinedTerm
164 anzsrc-for:0703 schema:inDefinedTermSet anzsrc-for:
165 schema:name Crop and Pasture Production
166 rdf:type schema:DefinedTerm
167 sg:journal.1038571 schema:issn 0971-5894
168 0974-0430
169 schema:name Physiology and Molecular Biology of Plants
170 schema:publisher Springer Nature
171 rdf:type schema:Periodical
172 sg:person.01312657631.40 schema:affiliation grid-institutes:grid.412906.8
173 schema:familyName Joel
174 schema:givenName A. John
175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01312657631.40
176 rdf:type schema:Person
177 sg:person.013545406407.82 schema:affiliation grid-institutes:grid.418196.3
178 schema:familyName Gayacharan
179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013545406407.82
180 rdf:type schema:Person
181 sg:pub.10.1007/bf00223181 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011122902
182 https://doi.org/10.1007/bf00223181
183 rdf:type schema:CreativeWork
184 sg:pub.10.1007/bf02672076 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038583671
185 https://doi.org/10.1007/bf02672076
186 rdf:type schema:CreativeWork
187 sg:pub.10.1007/s00018-004-4184-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1012914985
188 https://doi.org/10.1007/s00018-004-4184-y
189 rdf:type schema:CreativeWork
190 sg:pub.10.1007/s004380050986 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047572081
191 https://doi.org/10.1007/s004380050986
192 rdf:type schema:CreativeWork
193 sg:pub.10.1007/s11103-005-8881-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013924910
194 https://doi.org/10.1007/s11103-005-8881-1
195 rdf:type schema:CreativeWork
196 sg:pub.10.1038/leu.2010.41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025642633
197 https://doi.org/10.1038/leu.2010.41
198 rdf:type schema:CreativeWork
199 sg:pub.10.1186/1471-2164-13-27 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020992720
200 https://doi.org/10.1186/1471-2164-13-27
201 rdf:type schema:CreativeWork
202 grid-institutes:grid.412906.8 schema:alternateName Department of Plant Genetic Resources, Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, 641 003, Coimbatore, India
203 schema:name Department of Plant Genetic Resources, Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, 641 003, Coimbatore, India
204 rdf:type schema:Organization
205 grid-institutes:grid.418196.3 schema:alternateName Division of Plant Genetic Resources, Indian Agricultural Research Institute, 110012, New Delhi, India
206 schema:name Division of Plant Genetic Resources, Indian Agricultural Research Institute, 110012, New Delhi, India
207 rdf:type schema:Organization
 




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


...