Publications of H. Tong

Journal Article (13)

Journal Article
Tong, H., Laitinen, R. A. E. & Nikoloski, Z. Predicting plasticity of rosette growth and metabolic fluxes in Arabidopsis thaliana. New Phytologist 240, 426–438 (2023).
Journal Article
Correa Cordoba, S., Tong, H., Burgos, A., Zhu, F., Alseekh, S., Fernie, A. R. & Nikoloski, Z. Identification of gene function based on models capturing natural variability of Arabidopsis thaliana lipid metabolism. Nature Communications 14, (2023).
Journal Article
Andreou, G. M., Messer, M., Tong, H., Nikoloski, Z. & Laitinen, R. A. E. Heritability of temperature-mediated flower size plasticity in Arabidopsis thaliana. Quantitative Plant Biology 4, (2023).
Journal Article
Mbebi, A. J., Breitler, J.-C., Bordeaux, M., Sulpice, R., McHale, M., Tong, H., Toniutti, L., Castillo, J. A., Bertrand, B. & Nikoloski, Z. A comparative analysis of genomic and phenomic predictions of growth-related traits in 3-way coffee hybrids. G3: Genes, Genomes, Genetics 12, (2022).
Journal Article
Tong, H., Nankar, A. N., Liu, J., Todorova, V., Ganeva, D., Grozeva, S., Tringovska, I., Pasev, G., Radeva-Ivanova, V., Gechev, T., Kostova, D. & Nikoloski, Z. Genomic prediction of morphometric and colorimetric traits in Solanaceous fruits. Horticulture Research 9, (2022).
Journal Article
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).
Journal Article
Mbebi, A. J., Tong, H. & Nikoloski, Z. L2,1-norm regularized multivariate regression model with applications to genomic prediction. Bioinformatics 37, 2896–2904 (2021).
Journal Article
Tong, H. & Nikoloski, Z. Machine learning approaches for crop improvement: Leveraging phenotypic and genotypic big data. Journal of Plant Physiology 257, (2021).
Journal Article
Tong, H., Küken, A. & Nikoloski, Z. Integrating molecular markers into metabolic models improves genomic selection for Arabidopsis growth. Nature Communications 11, (2020).
Journal Article
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).
Journal Article
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).
Journal Article
Wu, S., Tohge, T., Cuadros-Inostroza, A. C., Tong, H., Tenenboim, H., Kooke, R., Méret, M., Keurentjes, J. B., Nikoloski, Z., Fernie, A. R., Willmitzer, L. & Brotman, Y. Mapping the Arabidopsis Metabolic Landscape by Untargeted Metabolomics at Different Environmental Conditions. Molecular Plant 11, 118–134 (2018).
Journal Article
Alseekh, S., Tong, H., Scossa, F., Brotman, Y., Vigroux, F., Tohge, T., Ofner, I., Zamir, D., Nikoloski, Z. & Fernie, A. R. Canalization of Tomato Fruit Metabolism. Plant Cell 29, 2753–2765 (2017).

Review Article (1)

Review Article
Tong, H., Küken, A., Razaghi-Moghadam, Z. & Nikoloski, Z. Characterization of effects of genetic variants via genome-scale metabolic modelling. Cellular and Molecular Life Sciences 78, 5123–5138 (2021).
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