Leveraging metabolomics for functional investigations in sequenced marine diatoms
Recent years have witnessed the genomic decoding of a wide range of photosynthetic organisms from the model plant Arabidopsis thaliana and the complex genomes of important crop species to single-celled marine phytoplankton. The comparative sequencing of green, red and brown algae has provided consid...
| Autores: | , , , , |
|---|---|
| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2012 |
| País: | Brasil |
| Recursos: | Universidade Federal de Viçosa (UFV) |
| Repositorio: | LOCUS Repositório Institucional da UFV |
| Idioma: | inglés |
| OAI Identifier: | oai:locus.ufv.br:123456789/21724 |
| Acesso em linha: | https://doi.org/10.1016/j.tplants.2012.02.005 http://www.locus.ufv.br/handle/123456789/21724 |
| Access Level: | acceso abierto |
| Palavra-chave: | Marine diatoms Leveraging metabolomics |
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Leveraging metabolomics for functional investigations in sequenced marine diatomsMarine diatomsLeveraging metabolomicsRecent years have witnessed the genomic decoding of a wide range of photosynthetic organisms from the model plant Arabidopsis thaliana and the complex genomes of important crop species to single-celled marine phytoplankton. The comparative sequencing of green, red and brown algae has provided considerable insight into a number of important questions concerning their evolution, physiology and metabolism. The combinatorial application of metabolomics has further deepened our understanding both of the function of individual genes and of metabolic processes. Here we discuss the power of utilising metabolomics in conjunction with sequencing data to gain greater insight into the metabolic hierarchies underpinning the function of individual organisms, using unicellular marine diatoms as a case study to exemplify the advantages of this approach.Trends in Plant Science2018-09-10T17:23:27Z2018-09-10T17:23:27Z2012-07info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlepdfapplication/pdf13601385https://doi.org/10.1016/j.tplants.2012.02.005http://www.locus.ufv.br/handle/123456789/21724engv. 17, n. 7, p. 395- 403, july 2012Elsevier Ltd.info:eu-repo/semantics/openAccessreponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFVFernie, Alisdair R.Obata, ToshihiroAllen, Andrew E.Araujo, Wagner L.Bowler, Chris2024-07-12T06:58:55Zoai:locus.ufv.br:123456789/21724Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452024-07-12T06:58:55LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false |
| dc.title.none.fl_str_mv |
Leveraging metabolomics for functional investigations in sequenced marine diatoms |
| title |
Leveraging metabolomics for functional investigations in sequenced marine diatoms |
| spellingShingle |
Leveraging metabolomics for functional investigations in sequenced marine diatoms Fernie, Alisdair R. Marine diatoms Leveraging metabolomics |
| title_short |
Leveraging metabolomics for functional investigations in sequenced marine diatoms |
| title_full |
Leveraging metabolomics for functional investigations in sequenced marine diatoms |
| title_fullStr |
Leveraging metabolomics for functional investigations in sequenced marine diatoms |
| title_full_unstemmed |
Leveraging metabolomics for functional investigations in sequenced marine diatoms |
| title_sort |
Leveraging metabolomics for functional investigations in sequenced marine diatoms |
| dc.creator.none.fl_str_mv |
Fernie, Alisdair R. Obata, Toshihiro Allen, Andrew E. Araujo, Wagner L. Bowler, Chris |
| author |
Fernie, Alisdair R. |
| author_facet |
Fernie, Alisdair R. Obata, Toshihiro Allen, Andrew E. Araujo, Wagner L. Bowler, Chris |
| author_role |
author |
| author2 |
Obata, Toshihiro Allen, Andrew E. Araujo, Wagner L. Bowler, Chris |
| author2_role |
author author author author |
| dc.subject.por.fl_str_mv |
Marine diatoms Leveraging metabolomics |
| topic |
Marine diatoms Leveraging metabolomics |
| description |
Recent years have witnessed the genomic decoding of a wide range of photosynthetic organisms from the model plant Arabidopsis thaliana and the complex genomes of important crop species to single-celled marine phytoplankton. The comparative sequencing of green, red and brown algae has provided considerable insight into a number of important questions concerning their evolution, physiology and metabolism. The combinatorial application of metabolomics has further deepened our understanding both of the function of individual genes and of metabolic processes. Here we discuss the power of utilising metabolomics in conjunction with sequencing data to gain greater insight into the metabolic hierarchies underpinning the function of individual organisms, using unicellular marine diatoms as a case study to exemplify the advantages of this approach. |
| publishDate |
2012 |
| dc.date.none.fl_str_mv |
2012-07 2018-09-10T17:23:27Z 2018-09-10T17:23:27Z |
| dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.uri.fl_str_mv |
13601385 https://doi.org/10.1016/j.tplants.2012.02.005 http://www.locus.ufv.br/handle/123456789/21724 |
| identifier_str_mv |
13601385 |
| url |
https://doi.org/10.1016/j.tplants.2012.02.005 http://www.locus.ufv.br/handle/123456789/21724 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
v. 17, n. 7, p. 395- 403, july 2012 |
| dc.rights.driver.fl_str_mv |
Elsevier Ltd. info:eu-repo/semantics/openAccess |
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Elsevier Ltd. |
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openAccess |
| dc.format.none.fl_str_mv |
pdf application/pdf |
| dc.publisher.none.fl_str_mv |
Trends in Plant Science |
| publisher.none.fl_str_mv |
Trends in Plant Science |
| dc.source.none.fl_str_mv |
reponame:LOCUS Repositório Institucional da UFV instname:Universidade Federal de Viçosa (UFV) instacron:UFV |
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Universidade Federal de Viçosa (UFV) |
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UFV |
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UFV |
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LOCUS Repositório Institucional da UFV |
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LOCUS Repositório Institucional da UFV |
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LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV) |
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fabiojreis@ufv.br |
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1853667094249340928 |
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15,301603 |