Publications of A. R. Fernie

Journal Article (26)

Journal Article
de Souza, L. P., Naake, T. & Fernie, A. R. Computational approaches that aid annotation in metabolomics. Trends in Plant Science 27, 1077–1078 (2022).
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Tiozon, R. J. N., Sartagoda, K. J. D., Serrano, L. M. N., Fernie, A. R. & Sreenivasulu, N. Metabolomics based inferences to unravel phenolic compound diversity in cereals and its implications for human gut health. Trends in Food Science & Technology 127, 14–25 (2022).
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Zhang, Y. J. & Fernie, A. R. Dynamically regulating metabolic fluxes with synthetic metabolons. Trends in Biotechnology 40, 1019–1020 (2022).
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Zhu, F., Jadhav, S. S., Tohge, T., Salem, M. A., Li, J. M., Giovannoni, J. J., Cheng, Y., Alseekh, S. & Fernie, A. R. A comparative transcriptomics and eQTL approach identifies SlWD40 as a tomato fruit ripening regulator. Plant Physiology 190, 250–266 (2022).
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Tabatabaei, I., Alseekh, S., Shahid, M., Leniak, E., Wagner, M., Mahmoudi, H., Thushar, S., Fernie, A. R., Murphy, K. M., Schmöckel, S. M., Tester, M., Mueller-Roeber, B., Skirycz, A. & Balazadeh, S. The diversity of quinoa morphological traits and seed metabolic composition. Scientific Data 9, (2022).
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Fernie, A. R. Cultivated strawberry HANABA TARANU: a tale of transcription factors, raging hormones, and asexual reproduction. The Plant Journal 110, 1235–1236 (2022).
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Skirycz, A. & Fernie, A. R. Past accomplishments and future challenges of the multi-omics characterization of leaf growth. Plant Physiology 189, 473–489 (2022).
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Wang, S., Li, Y., He, L., Yang, J., Fernie, A. R. & Luo, J. Natural variance at the interface of plant primary and specialized metabolism. Current Opinion in Plant Biology 67, (2022).
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Sreenivasulu, N. & Fernie, A. R. Diversity: current and prospective secondary metabolites for nutrition and medicine. Current Opinion in Biotechnology 74, 164–170 (2022).
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Fernie, A. R. & Alseekh, S. Metabolomic selection–based machine learning improves fruit taste prediction. Proceedings of the National Academy of Sciences of the United States of America 199, (2022).
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Gao, Y., Thiele, W., Saleh, O., Scossa, F. (Central Metabolism, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society), F., Aarabi, F., Zhang, H. M., Sampathkumar, A., Kühn, K., Fernie, A. R., Bock, R., Schöttler, M. A. & Zoschke, R. Chloroplast translational regulation uncovers nonessential photosynthesis genes as key players in plant cold acclimation. Plant Cell 34, 2056–2079 (2022).
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Fernie, A. R. & Zhang, Y. J. The Bacillus subtilis glutamate anti-metabolon. Nature Metabolism 4, 161–162 (2022).
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Fernie, A. R. & Alseekh, S. Unravelling the molecular networks that regulate kiwifruit flavor. New Phytologist 233, 8–10 (2022).
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Fàbregas, N. & Fernie, A. R. The interface of central metabolism with hormone signaling in plants. Current Biology 31, R1535–R1548 (2021).
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Curtin, S., Qi, Y., Peres, L. E. P., Fernie, A. R. & Zsögön, A. Pathways to de novo domestication of crop wild relatives. Plant Physiology 188, 1746–1756 (2021).
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Zhu, F., Alseekh, S., Wen, W., Cheng, Y. & Fernie, A. R. Genome-wide association studies of Arabidopsis dark-induced senescence reveals signatures of autophagy in metabolic reprogramming. Autophagy 18, 457–458 (2021).
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Zhu, F., Alseekh, S., Koper, K., Tong, H., Nikoloski, Z., Naake, T., Liu, H., Yan, J., Brotman, Y., Wen, W., Maeda, H., Cheng, Y. & Fernie, A. R. Genome-wide association of the metabolic shifts underpinning dark-induced senescence in Arabidopsis. The Plant Cell 34, 557–578 (2021).
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Zhang, Y. J., Scossa, Federico, F. & Fernie, A. R. The genomes of Taxus species unveil novel candidates in the biosynthesis of taxoids. Molecular Plant 14, 1773–1775 (2021).
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Zhu, F. & Fernie, A. R. Plants upcycle gene functions to suit their roots. Trends in Plant Science 26, 996–998 (2021).
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Alseekh, S., Aharoni, A., Brotman, Y., Contrepois, K., D’Auria, J., Ewald, J., C. Ewald, J., Fraser, P. D., Giavalisco, P., Hall, R. D., Heinemann, M., Link, H., Luo, J., Neumann, S., Nielsen, J., de Souza, L. P., Saito, K., Sauer, U., Schroeder, F. C., Schuster, S., Siuzdak, G., Skirycz, A., Sumner, L. W., Snyder, M. P., Tang, H., Tohge, T., Wang, Y., Wen, W., Wu, S., Xu, G., Zamboni, N. & Fernie, A. R. Mass spectrometry-based metabolomics: a guide for annotation, quantification and best reporting practices. Nature Methods 18, 747–756 (2021).
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