Practical Applications of Metabolomics in Plant Biology View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2011

AUTHORS

Robert D. Hall , Nigel W. Hardy

ABSTRACT

The technologies being developed for the large-scale, essentially unbiased analysis of the small molecules present in organic extracts made from plant materials are greatly changing our way of thinking about what is possible in plant biology. A range of different separation and detection techniques are being refined and expanded and their combination with advanced data management and data analysis approaches is already giving plant scientists far deeper insights into the complexity of plant metabolism and plant metabolic composition than was imaginable just a few years ago. This field of “metabolomics”, while still in its infancy, has nevertheless already been welcomed with open arms by the plant science community, partly because of these said advantages but also because of the broad potential applicability of the approaches in both fundamental and applied science. The diversity in application already ranges from understanding the considerable complexity of primary metabolic networks in Arabidopsis, to the changes which occur in the biochemical composition of foods occurring, for example, during the Pasteurization of tomato purée for long-term storage or the boiling of Basmati rice for direct consumption. The insights being gained are revealing valuable information on the strict control yet flexible nature of plant metabolic networks in many different systems. This volume aims to give a comprehensive overview of the approaches available for the performance of a “typical” plant metabolomics experiment, the choice of analytical techniques and to offer warnings on the potential pitfalls in experimental design and execution. More... »

PAGES

1-10

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-1-61779-594-7_1

DOI

http://dx.doi.org/10.1007/978-1-61779-594-7_1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1028034258

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22351167


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/2008/03", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0301", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Analytical Chemistry", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genomics", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Metabolic Networks and Pathways", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Metabolomics", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Oryza", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pasteurization", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Plants", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Netherlands Metabolomics Centre, Leiden, The Netherlands", 
          "id": "http://www.grid.ac/institutes/grid.450196.f", 
          "name": [
            "Plant Research International, Wageningen, The Netherlands", 
            "Centre for BioSystems Genomics, Wageningen, The Netherlands", 
            "Netherlands Metabolomics Centre, Leiden, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hall", 
        "givenName": "Robert D.", 
        "id": "sg:person.0704576323.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0704576323.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Computer Science, Aberystwyth University, Aberystwyth, UK", 
          "id": "http://www.grid.ac/institutes/grid.8186.7", 
          "name": [
            "Department of Computer Science, Aberystwyth University, Aberystwyth, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hardy", 
        "givenName": "Nigel W.", 
        "id": "sg:person.01371321313.70", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371321313.70"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2011", 
    "datePublishedReg": "2011-01-01", 
    "description": "The technologies being developed for the large-scale, essentially unbiased analysis of the small molecules present in organic extracts made from plant materials are greatly changing our way of thinking about what is possible in plant biology. A range of different separation and detection techniques are being refined and expanded and their combination with advanced data management and data analysis approaches is already giving plant scientists far deeper insights into the complexity of plant metabolism and plant metabolic composition than was imaginable just a few years ago. This field of \u201cmetabolomics\u201d, while still in its infancy, has nevertheless already been welcomed with open arms by the plant science community, partly because of these said advantages but also because of the broad potential applicability of the approaches in both fundamental and applied science. The diversity in application already ranges from understanding the considerable complexity of primary metabolic networks in Arabidopsis, to the changes which occur in the biochemical composition of foods occurring, for example, during the Pasteurization of tomato pur\u00e9e for long-term storage or the boiling of Basmati rice for direct consumption. The insights being gained are revealing valuable information on the strict control yet flexible nature of plant metabolic networks in many different systems. This volume aims to give a comprehensive overview of the approaches available for the performance of a \u201ctypical\u201d plant metabolomics experiment, the choice of analytical techniques and to offer warnings on the potential pitfalls in experimental design and execution.", 
    "editor": [
      {
        "familyName": "Hardy", 
        "givenName": "Nigel W.", 
        "type": "Person"
      }, 
      {
        "familyName": "Hall", 
        "givenName": "Robert D.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-1-61779-594-7_1", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-1-61779-593-0", 
        "978-1-61779-594-7"
      ], 
      "name": "Plant Metabolomics", 
      "type": "Book"
    }, 
    "keywords": [
      "analytical techniques", 
      "small molecules", 
      "plant metabolomics experiments", 
      "organic extracts", 
      "broad potential applicability", 
      "different separations", 
      "metabolomics experiments", 
      "potential applicability", 
      "long-term storage", 
      "flexible nature", 
      "practical applications", 
      "deeper insight", 
      "molecules", 
      "composition", 
      "plant material", 
      "separation", 
      "metabolomics", 
      "metabolic composition", 
      "detection techniques", 
      "materials", 
      "applications", 
      "comprehensive overview", 
      "different systems", 
      "technique", 
      "storage", 
      "strict control", 
      "science community", 
      "unbiased analysis", 
      "range", 
      "plant science community", 
      "valuable information", 
      "insights", 
      "nature", 
      "applied science", 
      "extracts", 
      "considerable complexity", 
      "experimental design", 
      "plant biology", 
      "tomato pur\u00e9e", 
      "applicability", 
      "plant metabolism", 
      "pur\u00e9e", 
      "biochemical composition", 
      "experiments", 
      "biology", 
      "data analysis approach", 
      "advantages", 
      "performance", 
      "plant metabolic networks", 
      "approach", 
      "volume", 
      "overview", 
      "analysis", 
      "combination", 
      "field", 
      "boiling", 
      "technology", 
      "system", 
      "science", 
      "example", 
      "scientists", 
      "metabolic networks", 
      "direct consumption", 
      "plant scientists", 
      "design", 
      "changes", 
      "food", 
      "network", 
      "pasteurization", 
      "way", 
      "potential pitfalls", 
      "primary metabolic network", 
      "information", 
      "choice", 
      "complexity", 
      "rice", 
      "consumption", 
      "arm", 
      "diversity", 
      "control", 
      "metabolism", 
      "analysis approach", 
      "Arabidopsis", 
      "basmati rice", 
      "pitfalls", 
      "years", 
      "infancy", 
      "community", 
      "advanced data management", 
      "warning", 
      "management", 
      "data management", 
      "execution", 
      "open arms"
    ], 
    "name": "Practical Applications of Metabolomics in Plant Biology", 
    "pagination": "1-10", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1028034258"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-1-61779-594-7_1"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "22351167"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-1-61779-594-7_1", 
      "https://app.dimensions.ai/details/publication/pub.1028034258"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2021-12-01T20:09", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/chapter/chapter_415.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-1-61779-594-7_1"
  }
]
 

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.10.1007/978-1-61779-594-7_1'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-1-61779-594-7_1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-1-61779-594-7_1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-1-61779-594-7_1'


 

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

199 TRIPLES      23 PREDICATES      127 URIs      120 LITERALS      14 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-1-61779-594-7_1 schema:about N085f335c3c3041c7ab7a1cea7f1cccc8
2 N29fbf8d9f70d44f091673159de27173e
3 N4c7810ee352c49588ea53ef0f4bbbd7d
4 Na8ac03fa1065431fac425e4fbafc5854
5 Nadf0c57bead44f499fd8f2c09b411a63
6 Nc17232cf5224451ca4af2fd6e21139d9
7 anzsrc-for:03
8 anzsrc-for:0301
9 schema:author N613cd860ef1b46f693ff6d334b590ada
10 schema:datePublished 2011
11 schema:datePublishedReg 2011-01-01
12 schema:description The technologies being developed for the large-scale, essentially unbiased analysis of the small molecules present in organic extracts made from plant materials are greatly changing our way of thinking about what is possible in plant biology. A range of different separation and detection techniques are being refined and expanded and their combination with advanced data management and data analysis approaches is already giving plant scientists far deeper insights into the complexity of plant metabolism and plant metabolic composition than was imaginable just a few years ago. This field of “metabolomics”, while still in its infancy, has nevertheless already been welcomed with open arms by the plant science community, partly because of these said advantages but also because of the broad potential applicability of the approaches in both fundamental and applied science. The diversity in application already ranges from understanding the considerable complexity of primary metabolic networks in Arabidopsis, to the changes which occur in the biochemical composition of foods occurring, for example, during the Pasteurization of tomato purée for long-term storage or the boiling of Basmati rice for direct consumption. The insights being gained are revealing valuable information on the strict control yet flexible nature of plant metabolic networks in many different systems. This volume aims to give a comprehensive overview of the approaches available for the performance of a “typical” plant metabolomics experiment, the choice of analytical techniques and to offer warnings on the potential pitfalls in experimental design and execution.
13 schema:editor N040b3e1ccbc44d2282073e17bbc3d94a
14 schema:genre chapter
15 schema:inLanguage en
16 schema:isAccessibleForFree false
17 schema:isPartOf Ne27f11ec158f42a1b498b2050b5c4d65
18 schema:keywords Arabidopsis
19 advanced data management
20 advantages
21 analysis
22 analysis approach
23 analytical techniques
24 applicability
25 applications
26 applied science
27 approach
28 arm
29 basmati rice
30 biochemical composition
31 biology
32 boiling
33 broad potential applicability
34 changes
35 choice
36 combination
37 community
38 complexity
39 composition
40 comprehensive overview
41 considerable complexity
42 consumption
43 control
44 data analysis approach
45 data management
46 deeper insight
47 design
48 detection techniques
49 different separations
50 different systems
51 direct consumption
52 diversity
53 example
54 execution
55 experimental design
56 experiments
57 extracts
58 field
59 flexible nature
60 food
61 infancy
62 information
63 insights
64 long-term storage
65 management
66 materials
67 metabolic composition
68 metabolic networks
69 metabolism
70 metabolomics
71 metabolomics experiments
72 molecules
73 nature
74 network
75 open arms
76 organic extracts
77 overview
78 pasteurization
79 performance
80 pitfalls
81 plant biology
82 plant material
83 plant metabolic networks
84 plant metabolism
85 plant metabolomics experiments
86 plant science community
87 plant scientists
88 potential applicability
89 potential pitfalls
90 practical applications
91 primary metabolic network
92 purée
93 range
94 rice
95 science
96 science community
97 scientists
98 separation
99 small molecules
100 storage
101 strict control
102 system
103 technique
104 technology
105 tomato purée
106 unbiased analysis
107 valuable information
108 volume
109 warning
110 way
111 years
112 schema:name Practical Applications of Metabolomics in Plant Biology
113 schema:pagination 1-10
114 schema:productId N30555d61d31d4d91a97ba1fc3d60a06b
115 Ne9d35996cdcc45a1b72701119905139b
116 Neb2b122981234ff09758bf2c876cae3a
117 schema:publisher Ned334492220f47aeaeae8155096167e0
118 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028034258
119 https://doi.org/10.1007/978-1-61779-594-7_1
120 schema:sdDatePublished 2021-12-01T20:09
121 schema:sdLicense https://scigraph.springernature.com/explorer/license/
122 schema:sdPublisher Nb00c58c498504aff8526d3434baaae28
123 schema:url https://doi.org/10.1007/978-1-61779-594-7_1
124 sgo:license sg:explorer/license/
125 sgo:sdDataset chapters
126 rdf:type schema:Chapter
127 N040b3e1ccbc44d2282073e17bbc3d94a rdf:first Nbb21a467db92410bb2e27b61778de987
128 rdf:rest Ndb42606f4cde48c5a83b671ab0e238f0
129 N085f335c3c3041c7ab7a1cea7f1cccc8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Pasteurization
131 rdf:type schema:DefinedTerm
132 N29fbf8d9f70d44f091673159de27173e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Plants
134 rdf:type schema:DefinedTerm
135 N30555d61d31d4d91a97ba1fc3d60a06b schema:name doi
136 schema:value 10.1007/978-1-61779-594-7_1
137 rdf:type schema:PropertyValue
138 N4c7810ee352c49588ea53ef0f4bbbd7d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Oryza
140 rdf:type schema:DefinedTerm
141 N613cd860ef1b46f693ff6d334b590ada rdf:first sg:person.0704576323.20
142 rdf:rest Nd56d6ae2f9b948f3b60b5e7cfe6ef31d
143 N8b8fa2863929441da924f1e2e475c6d1 schema:familyName Hall
144 schema:givenName Robert D.
145 rdf:type schema:Person
146 Na8ac03fa1065431fac425e4fbafc5854 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Genomics
148 rdf:type schema:DefinedTerm
149 Nadf0c57bead44f499fd8f2c09b411a63 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Metabolic Networks and Pathways
151 rdf:type schema:DefinedTerm
152 Nb00c58c498504aff8526d3434baaae28 schema:name Springer Nature - SN SciGraph project
153 rdf:type schema:Organization
154 Nbb21a467db92410bb2e27b61778de987 schema:familyName Hardy
155 schema:givenName Nigel W.
156 rdf:type schema:Person
157 Nc17232cf5224451ca4af2fd6e21139d9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Metabolomics
159 rdf:type schema:DefinedTerm
160 Nd56d6ae2f9b948f3b60b5e7cfe6ef31d rdf:first sg:person.01371321313.70
161 rdf:rest rdf:nil
162 Ndb42606f4cde48c5a83b671ab0e238f0 rdf:first N8b8fa2863929441da924f1e2e475c6d1
163 rdf:rest rdf:nil
164 Ne27f11ec158f42a1b498b2050b5c4d65 schema:isbn 978-1-61779-593-0
165 978-1-61779-594-7
166 schema:name Plant Metabolomics
167 rdf:type schema:Book
168 Ne9d35996cdcc45a1b72701119905139b schema:name dimensions_id
169 schema:value pub.1028034258
170 rdf:type schema:PropertyValue
171 Neb2b122981234ff09758bf2c876cae3a schema:name pubmed_id
172 schema:value 22351167
173 rdf:type schema:PropertyValue
174 Ned334492220f47aeaeae8155096167e0 schema:name Springer Nature
175 rdf:type schema:Organisation
176 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
177 schema:name Chemical Sciences
178 rdf:type schema:DefinedTerm
179 anzsrc-for:0301 schema:inDefinedTermSet anzsrc-for:
180 schema:name Analytical Chemistry
181 rdf:type schema:DefinedTerm
182 sg:person.01371321313.70 schema:affiliation grid-institutes:grid.8186.7
183 schema:familyName Hardy
184 schema:givenName Nigel W.
185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371321313.70
186 rdf:type schema:Person
187 sg:person.0704576323.20 schema:affiliation grid-institutes:grid.450196.f
188 schema:familyName Hall
189 schema:givenName Robert D.
190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0704576323.20
191 rdf:type schema:Person
192 grid-institutes:grid.450196.f schema:alternateName Netherlands Metabolomics Centre, Leiden, The Netherlands
193 schema:name Centre for BioSystems Genomics, Wageningen, The Netherlands
194 Netherlands Metabolomics Centre, Leiden, The Netherlands
195 Plant Research International, Wageningen, The Netherlands
196 rdf:type schema:Organization
197 grid-institutes:grid.8186.7 schema:alternateName Department of Computer Science, Aberystwyth University, Aberystwyth, UK
198 schema:name Department of Computer Science, Aberystwyth University, Aberystwyth, UK
199 rdf:type schema:Organization
 




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


...