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17α-Ethinylestradiol Analysis of Endo- and Exometabolome of Ulva lactuca (Chlorophyta) by 1H-NMR Spectroscopy and Bioinformatics Tools

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Practical Applications of Computational Biology and Bioinformatics, 12th International Conference (PACBB2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 803))

Abstract

The uptake of 17α-ethinylestradiol (EE2) by the green alga Ulva lactuca and its effects on the metabolome of that macroalgae have been investigated using 1H-NMR spectroscopy. To this end, U. lactuca in vitro cultures have been acutely (48 h) exposed to the estrogen and both, endo- and exometabolome were investigated. Bioinformatic analyses were performed to integrate and analyze endo- and exometabolic profiles allowing the detection of EE2 into exometabolome samples and identifying very important parameters (VIPs), i.e., 1H-NMR resonances, responsible for grouping similar U. lactuca metabolic profiles and biochemical phenotypes.

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Acknowledgements

The authors are thankful to the Coordination for the Improvement of Higher Education Personnel (CAPES) for financial support and to the research fellowship from CNPq (grant 307099/2015-6) on behalf of M. Maraschin. This study was also supported by the Portuguese Foundation for Science and Technology (FCT) under the scope of the strategic funding of UID/BIO/04469/2013 unit and COMPETE 2020 (POCI-01-0145-FEDER-006684) and BioTecNorte operation (NORTE-01-0145-FEDER-000004) funded by European Regional Development Fund under the scope of Norte2020 - Programa Operacional Regional do Norte. This work is co-funded by the North Portugal Regional Operational Programme, under the “Portugal 2020”, through the European Regional Development Fund (ERDF), within project SISBI- RefaNORTE-01-0247-FEDER-003381.

Author information

Authors and Affiliations

  1. Plant Morphogenesis and Biochemistry Laboratory, Federal University of Santa Catarina, Florianópolis, Brazil

    Debora Cabral, Simone Fanan Hengeltraub, Cláudia Bauer & Marcelo Maraschin

  2. Centre of Biological Engineering, University of Minho, Braga, Portugal

    Sara Cardoso & Miguel Rocha

  3. Brazilian Biosciences National Laboratory (LNBio/CNPEM), Campinas, SP, Brazil

    Silvana Rocco & Maurício Sforça

Authors
  1. Debora Cabral
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  2. Sara Cardoso
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  3. Silvana Rocco
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  4. Maurício Sforça
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  5. Simone Fanan Hengeltraub
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  6. Cláudia Bauer
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  7. Miguel Rocha
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  8. Marcelo Maraschin
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Corresponding author

Correspondence to Debora Cabral .

Editor information

Editors and Affiliations

  1. Escuela Superior de Ingeniería Informática, Universidad de Vigo, Ourense, Spain

    Florentino Fdez-Riverola

  2. Faculty of Computing, Department of Software Engineering, Universiti Teknologi Malaysia, Johor, Malaysia

    Mohd Saberi Mohamad

  3. Department de Informática, Universidade do Minho, Braga, Portugal

    Miguel Rocha

  4. Departamento de Informática y Automática, Facultad de Ciencias, Universidad de Salamanca, Salamanca, Spain

    Juan F. De Paz

  5. Departamento de Sistemas Informáticos, Universidad de Castilla-La Mancha, Albacete, Albacete, Spain

    Pascual González

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Cabral, D. et al. (2019). 17α-Ethinylestradiol Analysis of Endo- and Exometabolome of Ulva lactuca (Chlorophyta) by 1H-NMR Spectroscopy and Bioinformatics Tools. In: Fdez-Riverola, F., Mohamad, M., Rocha, M., De Paz, J., González, P. (eds) Practical Applications of Computational Biology and Bioinformatics, 12th International Conference. PACBB2018 2018. Advances in Intelligent Systems and Computing, vol 803. Springer, Cham. https://doi.org/10.1007/978-3-319-98702-6_26

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