Publications of F. de Abreu e Lima

Pott, D. M., de Abreu e Lima, F., Soria, C., Willmitzer, L., Fernie, A. R., Nikoloski, Z., Osorio, S. & Vallarino, J. G. Metabolic reconfiguration of strawberry physiology in response to postharvest practices. Food Chemistry 321, (2020).

Cubillos, A., Tong, H., Alseekh, S., de Abreu e Lima, F., Yu, J., Fernie, A. R., Nikoloski, Z. & Laitinen, R. Inheritance patterns in metabolism and growth in diallel crosses of Arabidopsis thaliana from a single growth habitat. Heredity 120, 463–473 (2018).

de Abreu e Lima, F., Li, K., Wen, W., Yan, J., Nikoloski, Z., Willmitzer, L. & Brotman, Y. Unraveling lipid metabolism in maize with time-resolved multi-omics data. The Plant Journal 93, 1102–1115 (2018).

de Abreu e Lima, F., Willmitzer, L. & Nikoloski, Z. Classification-driven framework to predict maize hybrid field performance from metabolic profiles of young parental roots. PLoS One 13, (2018).

Vallarino, J. G., de Abreu e Lima, F., Soria, C., Tong, H., Pott, D. M., Willmitzer, L., Fernie, A. R., Nikoloski, Z. & Osorio, S. Genetic diversity of strawberry germplasm using metabolomic biomarkers. Scientific Reports 8, (2018).

Wen, W., Jin, M., Li, K., Liu, H., Xiao, Y., Zhao, M., Alseekh, S., Li, W., de Abreu e Lima, F., Brotman, Y., Willmitzer, L., Fernie, A. R. & Yan, J. An integrated multi-layered analysis of the metabolic networks of different tissues uncovers key genetic components of primary metabolism in maize. The Plant Journal 93, 1116–1128 (2018).

Scossa, F., Brotman, Y., de Abreu e Lima, F., Willmitzer, L., Nikoloski, Z., Tohge, T. & Fernie, A. R. Genomics-based strategies for the use of natural variation in the improvement of crop metabolism. Plant Science 242, 47–64 (2016).

de Abreu e Lima, F., Leifels, L. & Nikoloski, Z. in Plant Metabolomics: Methods and Protocols (ed. António, C.) 321–327 (Humana Press, 2018). doi:10.1007/978-1-4939-7819-9_23