Transcriptomic leaf profiling reveals differential responses of the two most traded coffee species to elevated [co2]

Detalhes bibliográficos
Autor(a) principal: Marques, Isabel
Data de Publicação: 2020
Outros Autores: Fernandes, Isabel, David, Pedro H. C., Paulo, Octávio S., Goulão, Luis F., Fortunato, Ana S., Lidon, Fernando C., Damatta, Fábio M., Ramalho, José C., Ribeiro-Barros, Ana I.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/117337
Resumo: PTDC/ASP-AGR/31257/2017 UIDB/00239/2020 UIDP/04035/2020 UID/AGR/04129/2020 UIDB/04551/2020 CRA-RED-00053-16
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spelling Transcriptomic leaf profiling reveals differential responses of the two most traded coffee species to elevated [co2]Climate changeCoffee treeElevated air [CO]Functional analysisLeaf RNAseqCatalysisMolecular BiologySpectroscopyComputer Science ApplicationsPhysical and Theoretical ChemistryOrganic ChemistryInorganic ChemistrySDG 13 - Climate ActionPTDC/ASP-AGR/31257/2017 UIDB/00239/2020 UIDP/04035/2020 UID/AGR/04129/2020 UIDB/04551/2020 CRA-RED-00053-16As atmospheric [CO2] continues to rise to unprecedented levels, understanding its impact on plants is imperative to improve crop performance and sustainability under future climate conditions. In this context, transcriptional changes promoted by elevated CO2 (eCO2) were studied in genotypes from the two major traded coffee species: the allopolyploid Coffea arabica (Icatu) and its diploid parent, C. canephora (CL153). While Icatu expressed more genes than CL153, a higher number of differentially expressed genes were found in CL153 as a response to eCO2. Although many genes were found to be commonly expressed by the two genotypes under eCO2, unique genes and pathways differed between them, with CL153 showing more enriched GO terms and metabolic pathways than Icatu. Divergent functional categories and significantly enriched pathways were found in these genotypes, which altogether supports contrasting responses to eCO2. A considerable number of genes linked to coffee physiological and biochemical responses were found to be affected by eCO2 with the significant upregulation of photosynthetic, antioxidant, and lipidic genes. This supports the absence of photosynthesis down-regulation and, therefore, the maintenance of increased photosynthetic potential promoted by eCO2 in these coffee genotypes.Bioresources 4 Sustainability (GREEN-IT)Instituto de Tecnologia Química e Biológica António Xavier (ITQB)GeoBioTec - Geobiociências, Geoengenharias e GeotecnologiasRUNMarques, IsabelFernandes, IsabelDavid, Pedro H. C.Paulo, Octávio S.Goulão, Luis F.Fortunato, Ana S.Lidon, Fernando C.Damatta, Fábio M.Ramalho, José C.Ribeiro-Barros, Ana I.2021-05-07T23:07:22Z2020-12-032020-12-03T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article24application/pdfhttp://hdl.handle.net/10362/117337eng1661-6596PURE: 29410295https://doi.org/10.3390/ijms21239211info: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:RCAAP2024-03-11T05:00:29Zoai:run.unl.pt:10362/117337Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:43:36.011153Repositório 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 Transcriptomic leaf profiling reveals differential responses of the two most traded coffee species to elevated [co2]
title Transcriptomic leaf profiling reveals differential responses of the two most traded coffee species to elevated [co2]
spellingShingle Transcriptomic leaf profiling reveals differential responses of the two most traded coffee species to elevated [co2]
Marques, Isabel
Climate change
Coffee tree
Elevated air [CO]
Functional analysis
Leaf RNAseq
Catalysis
Molecular Biology
Spectroscopy
Computer Science Applications
Physical and Theoretical Chemistry
Organic Chemistry
Inorganic Chemistry
SDG 13 - Climate Action
title_short Transcriptomic leaf profiling reveals differential responses of the two most traded coffee species to elevated [co2]
title_full Transcriptomic leaf profiling reveals differential responses of the two most traded coffee species to elevated [co2]
title_fullStr Transcriptomic leaf profiling reveals differential responses of the two most traded coffee species to elevated [co2]
title_full_unstemmed Transcriptomic leaf profiling reveals differential responses of the two most traded coffee species to elevated [co2]
title_sort Transcriptomic leaf profiling reveals differential responses of the two most traded coffee species to elevated [co2]
author Marques, Isabel
author_facet Marques, Isabel
Fernandes, Isabel
David, Pedro H. C.
Paulo, Octávio S.
Goulão, Luis F.
Fortunato, Ana S.
Lidon, Fernando C.
Damatta, Fábio M.
Ramalho, José C.
Ribeiro-Barros, Ana I.
author_role author
author2 Fernandes, Isabel
David, Pedro H. C.
Paulo, Octávio S.
Goulão, Luis F.
Fortunato, Ana S.
Lidon, Fernando C.
Damatta, Fábio M.
Ramalho, José C.
Ribeiro-Barros, Ana I.
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Bioresources 4 Sustainability (GREEN-IT)
Instituto de Tecnologia Química e Biológica António Xavier (ITQB)
GeoBioTec - Geobiociências, Geoengenharias e Geotecnologias
RUN
dc.contributor.author.fl_str_mv Marques, Isabel
Fernandes, Isabel
David, Pedro H. C.
Paulo, Octávio S.
Goulão, Luis F.
Fortunato, Ana S.
Lidon, Fernando C.
Damatta, Fábio M.
Ramalho, José C.
Ribeiro-Barros, Ana I.
dc.subject.por.fl_str_mv Climate change
Coffee tree
Elevated air [CO]
Functional analysis
Leaf RNAseq
Catalysis
Molecular Biology
Spectroscopy
Computer Science Applications
Physical and Theoretical Chemistry
Organic Chemistry
Inorganic Chemistry
SDG 13 - Climate Action
topic Climate change
Coffee tree
Elevated air [CO]
Functional analysis
Leaf RNAseq
Catalysis
Molecular Biology
Spectroscopy
Computer Science Applications
Physical and Theoretical Chemistry
Organic Chemistry
Inorganic Chemistry
SDG 13 - Climate Action
description PTDC/ASP-AGR/31257/2017 UIDB/00239/2020 UIDP/04035/2020 UID/AGR/04129/2020 UIDB/04551/2020 CRA-RED-00053-16
publishDate 2020
dc.date.none.fl_str_mv 2020-12-03
2020-12-03T00:00:00Z
2021-05-07T23:07:22Z
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/10362/117337
url http://hdl.handle.net/10362/117337
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1661-6596
PURE: 29410295
https://doi.org/10.3390/ijms21239211
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 24
application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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