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Open AccessArticle

Transcriptomic Leaf Profiling Reveals Differential Responses of the Two Most Traded Coffee Species to Elevated [CO2]

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Plant-Environment Interactions and Biodiversity Lab (PlantStress & Biodiversity), Forest Research Centre (CEF), Instituto Superior de Agronomia (ISA), Universidade de Lisboa, 2784-505 Oeiras and Tapada da Ajuda, 1349-017 Lisboa, Portugal
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Computational Biology and Population Genomics Group, Centre for Ecology, Evolution and Environmental Changes (cE3c), Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal
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Linking Landscape, Environment, Agriculture and Food (LEAF), Instituto Superior de Agronomia (ISA), Universidade de Lisboa (ULisboa), Tapada da Ajuda, 1349-017 Lisboa, Portugal
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GREEN-IT—Bioresources for Sustainability, Instituto de Tecnologia Química e Biológica António Xavier (ITQB), Universidade NOVA de Lisboa (UNL), Av. da República, 2780-157 Oeiras, Portugal
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GeoBioSciences, GeoTechnologies and GeoEngineering (GeoBioTec), Faculdade de Ciências e Tecnologia (FCT), Universidade NOVA de Lisboa (UNL), 2829-516 Monte de Caparica, Portugal
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Departamento de Biologia Vegetal, Universidade Federal Viçosa (UFV), Viçosa 36570-900 (MG), Brazil
*
Authors to whom correspondence should be addressed.
Int. J. Mol. Sci. 2020, 21(23), 9211; https://doi.org/10.3390/ijms21239211
Received: 10 November 2020 / Revised: 26 November 2020 / Accepted: 27 November 2020 / Published: 3 December 2020
(This article belongs to the Special Issue Tropical Plant Responses to Climate Change)
As 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. View Full-Text
Keywords: climate change; coffee tree; elevated air [CO2]; functional analysis; leaf RNAseq climate change; coffee tree; elevated air [CO2]; functional analysis; leaf RNAseq
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MDPI and ACS Style

Marques, I.; Fernandes, I.; David, P.H.C.; Paulo, O.S.; Goulao, L.F.; Fortunato, A.S.; Lidon, F.C.; DaMatta, F.M.; Ramalho, J.C.; Ribeiro-Barros, A.I. Transcriptomic Leaf Profiling Reveals Differential Responses of the Two Most Traded Coffee Species to Elevated [CO2]. Int. J. Mol. Sci. 2020, 21, 9211. https://doi.org/10.3390/ijms21239211

AMA Style

Marques I, Fernandes I, David PHC, Paulo OS, Goulao LF, Fortunato AS, Lidon FC, DaMatta FM, Ramalho JC, Ribeiro-Barros AI. Transcriptomic Leaf Profiling Reveals Differential Responses of the Two Most Traded Coffee Species to Elevated [CO2]. International Journal of Molecular Sciences. 2020; 21(23):9211. https://doi.org/10.3390/ijms21239211

Chicago/Turabian Style

Marques, Isabel; Fernandes, Isabel; David, Pedro H.C.; Paulo, Octávio S.; Goulao, Luis F.; Fortunato, Ana S.; Lidon, Fernando C.; DaMatta, Fábio M.; Ramalho, José C.; Ribeiro-Barros, Ana I. 2020. "Transcriptomic Leaf Profiling Reveals Differential Responses of the Two Most Traded Coffee Species to Elevated [CO2]" Int. J. Mol. Sci. 21, no. 23: 9211. https://doi.org/10.3390/ijms21239211

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