A transcriptomic approach to understanding the combined impacts of supra‐optimal temperatures and co2 revealed different responses in the polyploid coffea arabica and its diploid progenitor c. Canephora

Detalhes bibliográficos
Autor(a) principal: Marques, Isabel
Data de Publicação: 2021
Outros Autores: Fernandes, Isabel, Paulo, Octávio 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/10362/163700
Resumo: Funding Information: Funding: This work received funding from the European Union’s Horizon 2020 research and in‐ novation program under the grant agreement No 727934 (project BreedCAFS), and from national funds from Fundação para a Ciência e a Tecnologia (FCT), Portugal, through the project PTDC/ASP‐AGR/31257/2017, and the research units UIDB/00239/2020 (CEF), UIDP/04035/2020 (GeoBioTec). Fellowships from the Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brazil (CNPq), and the Fundação de Amparo à Pesquisa do Estado de Minas Gerais, Brazil (FAPEMIG, project CRA‐RED−00053–16), to F.M.DM., are also greatly acknowledged. Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
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spelling A transcriptomic approach to understanding the combined impacts of supra‐optimal temperatures and co2 revealed different responses in the polyploid coffea arabica and its diploid progenitor c. CanephoraClimate changesCoffeeElevated air (CO2)Functional analysisHigh temperaturesLeaf RNAseqPolyploidyWarmingCatalysisMolecular BiologySpectroscopyComputer Science ApplicationsPhysical and Theoretical ChemistryOrganic ChemistryInorganic ChemistrySDG 13 - Climate ActionFunding Information: Funding: This work received funding from the European Union’s Horizon 2020 research and in‐ novation program under the grant agreement No 727934 (project BreedCAFS), and from national funds from Fundação para a Ciência e a Tecnologia (FCT), Portugal, through the project PTDC/ASP‐AGR/31257/2017, and the research units UIDB/00239/2020 (CEF), UIDP/04035/2020 (GeoBioTec). Fellowships from the Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brazil (CNPq), and the Fundação de Amparo à Pesquisa do Estado de Minas Gerais, Brazil (FAPEMIG, project CRA‐RED−00053–16), to F.M.DM., are also greatly acknowledged. Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.Understanding the effect of extreme temperatures and elevated air (CO2) is crucial for mitigating the impacts of the coffee industry. In this work, leaf transcriptomic changes were evaluated in the diploid C. canephora and its polyploid C. arabica, grown at 25 °C and at two su-pra‐optimal temperatures (37 °C, 42 °C), under ambient (aCO2) or elevated air CO2 (eCO2). Both species expressed fewer genes as temperature rose, although a high number of differentially expressed genes (DEGs) were observed, especially at 42 °C. An enrichment analysis revealed that the two species reacted differently to the high temperatures but with an overall up‐regulation of the photosynthetic machinery until 37 °C. Although eCO2 helped to release stress, 42 °C had a severe impact on both species. A total of 667 photosynthetic and biochemical related‐DEGs were altered with high temperatures and eCO2, which may be used as key probe genes in future studies. This was mostly felt in C. arabica, where genes related to ribulose‐bisphosphate carboxylase (RuBisCO) activity, chlorophyll a‐b binding, and the reaction centres of photosystems I and II were down‐regulated, especially under 42°C, regardless of CO2. Transcriptomic changes showed that both species were strongly affected by the highest temperature, although they can endure higher temperatures (37 °C) than previously assumed.GeoBioTec - Geobiociências, Geoengenharias e GeotecnologiasRUNMarques, IsabelFernandes, IsabelPaulo, Octávio S.Lidon, Fernando C.Damatta, Fábio M.Ramalho, José C.Ribeiro‐Barros, Ana I.2024-02-17T00:08:13Z2021-03-182021-03-18T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article20application/pdfhttp://hdl.handle.net/10362/163700eng1661-6596PURE: 83536044https://doi.org/10.3390/ijms22063125info: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:RCAAP2024-03-11T05:48:24Zoai:run.unl.pt:10362/163700Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:59:49.543819Repositório 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 A transcriptomic approach to understanding the combined impacts of supra‐optimal temperatures and co2 revealed different responses in the polyploid coffea arabica and its diploid progenitor c. Canephora
title A transcriptomic approach to understanding the combined impacts of supra‐optimal temperatures and co2 revealed different responses in the polyploid coffea arabica and its diploid progenitor c. Canephora
spellingShingle A transcriptomic approach to understanding the combined impacts of supra‐optimal temperatures and co2 revealed different responses in the polyploid coffea arabica and its diploid progenitor c. Canephora
Marques, Isabel
Climate changes
Coffee
Elevated air (CO2)
Functional analysis
High temperatures
Leaf RNAseq
Polyploidy
Warming
Catalysis
Molecular Biology
Spectroscopy
Computer Science Applications
Physical and Theoretical Chemistry
Organic Chemistry
Inorganic Chemistry
SDG 13 - Climate Action
title_short A transcriptomic approach to understanding the combined impacts of supra‐optimal temperatures and co2 revealed different responses in the polyploid coffea arabica and its diploid progenitor c. Canephora
title_full A transcriptomic approach to understanding the combined impacts of supra‐optimal temperatures and co2 revealed different responses in the polyploid coffea arabica and its diploid progenitor c. Canephora
title_fullStr A transcriptomic approach to understanding the combined impacts of supra‐optimal temperatures and co2 revealed different responses in the polyploid coffea arabica and its diploid progenitor c. Canephora
title_full_unstemmed A transcriptomic approach to understanding the combined impacts of supra‐optimal temperatures and co2 revealed different responses in the polyploid coffea arabica and its diploid progenitor c. Canephora
title_sort A transcriptomic approach to understanding the combined impacts of supra‐optimal temperatures and co2 revealed different responses in the polyploid coffea arabica and its diploid progenitor c. Canephora
author Marques, Isabel
author_facet Marques, Isabel
Fernandes, Isabel
Paulo, Octávio S.
Lidon, Fernando C.
Damatta, Fábio M.
Ramalho, José C.
Ribeiro‐Barros, Ana I.
author_role author
author2 Fernandes, Isabel
Paulo, Octávio S.
Lidon, Fernando C.
Damatta, Fábio M.
Ramalho, José C.
Ribeiro‐Barros, Ana I.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv GeoBioTec - Geobiociências, Geoengenharias e Geotecnologias
RUN
dc.contributor.author.fl_str_mv Marques, Isabel
Fernandes, Isabel
Paulo, Octávio S.
Lidon, Fernando C.
Damatta, Fábio M.
Ramalho, José C.
Ribeiro‐Barros, Ana I.
dc.subject.por.fl_str_mv Climate changes
Coffee
Elevated air (CO2)
Functional analysis
High temperatures
Leaf RNAseq
Polyploidy
Warming
Catalysis
Molecular Biology
Spectroscopy
Computer Science Applications
Physical and Theoretical Chemistry
Organic Chemistry
Inorganic Chemistry
SDG 13 - Climate Action
topic Climate changes
Coffee
Elevated air (CO2)
Functional analysis
High temperatures
Leaf RNAseq
Polyploidy
Warming
Catalysis
Molecular Biology
Spectroscopy
Computer Science Applications
Physical and Theoretical Chemistry
Organic Chemistry
Inorganic Chemistry
SDG 13 - Climate Action
description Funding Information: Funding: This work received funding from the European Union’s Horizon 2020 research and in‐ novation program under the grant agreement No 727934 (project BreedCAFS), and from national funds from Fundação para a Ciência e a Tecnologia (FCT), Portugal, through the project PTDC/ASP‐AGR/31257/2017, and the research units UIDB/00239/2020 (CEF), UIDP/04035/2020 (GeoBioTec). Fellowships from the Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brazil (CNPq), and the Fundação de Amparo à Pesquisa do Estado de Minas Gerais, Brazil (FAPEMIG, project CRA‐RED−00053–16), to F.M.DM., are also greatly acknowledged. Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
publishDate 2021
dc.date.none.fl_str_mv 2021-03-18
2021-03-18T00:00:00Z
2024-02-17T00:08:13Z
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/10362/163700
url http://hdl.handle.net/10362/163700
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1661-6596
PURE: 83536044
https://doi.org/10.3390/ijms22063125
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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