Establishing research strategies, methodologies and technologies to link genomics and proteomics to seagrass productivity, community metabolism and ecosystem carbon fluxes
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.1/5199 |
Resumo: | A complete understanding of the mechanistic basis of marine ecosystem functioning is only possible through integrative and interdisciplinary research.This enables the predictionof change and possibly the mitigation of the consequences ofanthropogenic impacts. One major aim of the European Cooperation in Science and Technology (COST) Action ES0609 “Seagrasses productivity. From genes to ecosystem management,” is the calibration and synthesis of various methods and the development of innovative techniques and protocolsfor studying seagrass ecosystems. During 10 days, 20 researchers representing a range of disciplines (molecular biology, physiology, botany, ecology, oceanography, and underwater acoustics) gathered at The Station de Recherches Sous-marines et Océanographiques (STARESO, Corsica) to study together the nearby Posidonia oceanica meadow. STARESO is located in an oligotrophic area classified as “pristine site” where environmental disturbances caused by anthropogenic pressure are exceptionally low. The healthy P. oceanica meadow, which grows in front of the research station, colonizes the sea bottom from the surface to 37m depth. During the study, genomic and proteomic approaches were integrated with ecophysiological and physical approaches with the aim of understanding changes in seagrass productivity and metabolism at different depths and along daily cycles. In this paper we report details on the approaches utilized and we forecast the potential of the data that will come from this synergistic approach not only for P. oceanica but for seagrasses in general. |
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Establishing research strategies, methodologies and technologies to link genomics and proteomics to seagrass productivity, community metabolism and ecosystem carbon fluxesSeagrassesProteomicsGenomicsCarbon fluxesPhotosynthesisRespirationProductivityMarineA complete understanding of the mechanistic basis of marine ecosystem functioning is only possible through integrative and interdisciplinary research.This enables the predictionof change and possibly the mitigation of the consequences ofanthropogenic impacts. One major aim of the European Cooperation in Science and Technology (COST) Action ES0609 “Seagrasses productivity. From genes to ecosystem management,” is the calibration and synthesis of various methods and the development of innovative techniques and protocolsfor studying seagrass ecosystems. During 10 days, 20 researchers representing a range of disciplines (molecular biology, physiology, botany, ecology, oceanography, and underwater acoustics) gathered at The Station de Recherches Sous-marines et Océanographiques (STARESO, Corsica) to study together the nearby Posidonia oceanica meadow. STARESO is located in an oligotrophic area classified as “pristine site” where environmental disturbances caused by anthropogenic pressure are exceptionally low. The healthy P. oceanica meadow, which grows in front of the research station, colonizes the sea bottom from the surface to 37m depth. During the study, genomic and proteomic approaches were integrated with ecophysiological and physical approaches with the aim of understanding changes in seagrass productivity and metabolism at different depths and along daily cycles. In this paper we report details on the approaches utilized and we forecast the potential of the data that will come from this synergistic approach not only for P. oceanica but for seagrasses in general.WethanktheESFCOSTAction(ES0906) SeagrassProductivity: FromGenestoEcosystemManagement forthefundsprovidedand alltheparticipantstotheOctober2011WG1andWG2Work- shop:linkingseagrassproductivity,communitymetabolism,and ecosystemcarbonfluxes,fortheirfruitfulcontributionduringthe workshop.WethankAlexandreVolponforhiswillingnesstosolve hitches.FrontiersSapientiaMazzuca, S.Bjork, M.Beer, S.Felisberto, P.Gobert, S.Procaccini, G.Runcie, J. W.Silva, JoãoBorges, A. V.Brunet, C.Buapet, P.Champenois, W.Costa, M. M.D'Esposito, D.Gullström, M.Lejeune, P.Lepoint, G.Olivé, IreneRasmusson, L. M.Richir, J.Ruocco, M.Serra, I. A.Spadafora, A.Santos, Rui2014-10-07T09:40:18Z2013-03-192013-03-19T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/5199engS. MAZZUCA, M. BJORK, S. BEER, P. FELISBERTO, S. GOBERT, G. PROACCINI, J. RUNCIE, J. SILVA, A.V. BORGES, C. BRUNET, P. BUAPET, W. CHAMPENOIS, M. COSTA, D. D'ESPOSITO, M. GULLSTROM, P. LEJEUNE, G. LEPOINT, I. OLIVÉ, L. RASMUNSSON, J. RICHIR, M. RUOCCO,, I.A. SERRA, A. SPADAFORA and R. SANTOS, "Establishing research strategies, methodologies and technologies to link genomics and proteomics to seagrass productivity, community metabolism and ecosystem carbon fluxes" in Frontiers in Plant Science, Vol. 4, 38, pp. 1-19.1664-462XAUT: PFE00638;http://dx.doi.org/10.3389/fpls.2013.00038info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-24T10:16:24Zoai:sapientia.ualg.pt:10400.1/5199Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:58:19.499651Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Establishing research strategies, methodologies and technologies to link genomics and proteomics to seagrass productivity, community metabolism and ecosystem carbon fluxes |
title |
Establishing research strategies, methodologies and technologies to link genomics and proteomics to seagrass productivity, community metabolism and ecosystem carbon fluxes |
spellingShingle |
Establishing research strategies, methodologies and technologies to link genomics and proteomics to seagrass productivity, community metabolism and ecosystem carbon fluxes Mazzuca, S. Seagrasses Proteomics Genomics Carbon fluxes Photosynthesis Respiration Productivity Marine |
title_short |
Establishing research strategies, methodologies and technologies to link genomics and proteomics to seagrass productivity, community metabolism and ecosystem carbon fluxes |
title_full |
Establishing research strategies, methodologies and technologies to link genomics and proteomics to seagrass productivity, community metabolism and ecosystem carbon fluxes |
title_fullStr |
Establishing research strategies, methodologies and technologies to link genomics and proteomics to seagrass productivity, community metabolism and ecosystem carbon fluxes |
title_full_unstemmed |
Establishing research strategies, methodologies and technologies to link genomics and proteomics to seagrass productivity, community metabolism and ecosystem carbon fluxes |
title_sort |
Establishing research strategies, methodologies and technologies to link genomics and proteomics to seagrass productivity, community metabolism and ecosystem carbon fluxes |
author |
Mazzuca, S. |
author_facet |
Mazzuca, S. Bjork, M. Beer, S. Felisberto, P. Gobert, S. Procaccini, G. Runcie, J. W. Silva, João Borges, A. V. Brunet, C. Buapet, P. Champenois, W. Costa, M. M. D'Esposito, D. Gullström, M. Lejeune, P. Lepoint, G. Olivé, Irene Rasmusson, L. M. Richir, J. Ruocco, M. Serra, I. A. Spadafora, A. Santos, Rui |
author_role |
author |
author2 |
Bjork, M. Beer, S. Felisberto, P. Gobert, S. Procaccini, G. Runcie, J. W. Silva, João Borges, A. V. Brunet, C. Buapet, P. Champenois, W. Costa, M. M. D'Esposito, D. Gullström, M. Lejeune, P. Lepoint, G. Olivé, Irene Rasmusson, L. M. Richir, J. Ruocco, M. Serra, I. A. Spadafora, A. Santos, Rui |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Sapientia |
dc.contributor.author.fl_str_mv |
Mazzuca, S. Bjork, M. Beer, S. Felisberto, P. Gobert, S. Procaccini, G. Runcie, J. W. Silva, João Borges, A. V. Brunet, C. Buapet, P. Champenois, W. Costa, M. M. D'Esposito, D. Gullström, M. Lejeune, P. Lepoint, G. Olivé, Irene Rasmusson, L. M. Richir, J. Ruocco, M. Serra, I. A. Spadafora, A. Santos, Rui |
dc.subject.por.fl_str_mv |
Seagrasses Proteomics Genomics Carbon fluxes Photosynthesis Respiration Productivity Marine |
topic |
Seagrasses Proteomics Genomics Carbon fluxes Photosynthesis Respiration Productivity Marine |
description |
A complete understanding of the mechanistic basis of marine ecosystem functioning is only possible through integrative and interdisciplinary research.This enables the predictionof change and possibly the mitigation of the consequences ofanthropogenic impacts. One major aim of the European Cooperation in Science and Technology (COST) Action ES0609 “Seagrasses productivity. From genes to ecosystem management,” is the calibration and synthesis of various methods and the development of innovative techniques and protocolsfor studying seagrass ecosystems. During 10 days, 20 researchers representing a range of disciplines (molecular biology, physiology, botany, ecology, oceanography, and underwater acoustics) gathered at The Station de Recherches Sous-marines et Océanographiques (STARESO, Corsica) to study together the nearby Posidonia oceanica meadow. STARESO is located in an oligotrophic area classified as “pristine site” where environmental disturbances caused by anthropogenic pressure are exceptionally low. The healthy P. oceanica meadow, which grows in front of the research station, colonizes the sea bottom from the surface to 37m depth. During the study, genomic and proteomic approaches were integrated with ecophysiological and physical approaches with the aim of understanding changes in seagrass productivity and metabolism at different depths and along daily cycles. In this paper we report details on the approaches utilized and we forecast the potential of the data that will come from this synergistic approach not only for P. oceanica but for seagrasses in general. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-03-19 2013-03-19T00:00:00Z 2014-10-07T09:40:18Z |
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 |
http://hdl.handle.net/10400.1/5199 |
url |
http://hdl.handle.net/10400.1/5199 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
S. MAZZUCA, M. BJORK, S. BEER, P. FELISBERTO, S. GOBERT, G. PROACCINI, J. RUNCIE, J. SILVA, A.V. BORGES, C. BRUNET, P. BUAPET, W. CHAMPENOIS, M. COSTA, D. D'ESPOSITO, M. GULLSTROM, P. LEJEUNE, G. LEPOINT, I. OLIVÉ, L. RASMUNSSON, J. RICHIR, M. RUOCCO,, I.A. SERRA, A. SPADAFORA and R. SANTOS, "Establishing research strategies, methodologies and technologies to link genomics and proteomics to seagrass productivity, community metabolism and ecosystem carbon fluxes" in Frontiers in Plant Science, Vol. 4, 38, pp. 1-19. 1664-462X AUT: PFE00638; http://dx.doi.org/10.3389/fpls.2013.00038 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Frontiers |
publisher.none.fl_str_mv |
Frontiers |
dc.source.none.fl_str_mv |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799133199922626560 |