Publications of H. Tong

Mbebi, A. J.; Mercado, F.; Hobby, D.; Tong, H.; Nikoloski, Z.: Advances in multi-trait genomic prediction approaches: classification, comparative analysis, and perspectives. Briefings in Bioinformatics 26 (3), bbaf211 (2025)

Hobby, D.; Tong, H.; Heuermann, M.; Mbebi, A. J.; Laitinen, R. A. E.; Dell’Acqua, M.; Altmann, T.; Nikoloski, Z.: Predicting plant trait dynamics from genetic markers. Nature Plants 11, pp. 1018 - 1027 (2025)

Pieri, A.; Beleggia, R.; Gioia, T.; Tong, H.; Di Vittori, V.; Frascarelli, G.; Bitocchi, E.; Nanni, L.; Bellucci, E.; Fiorani, F. et al.; Pecchioni, N.; Marzario, S.; De Quattro, C.; Limongi, A.; De Vita, P.; Rossato, M.; Schurr, U.; David, J.; Nikoloski, Z.; Papa, R.: Transcriptomic response to nitrogen availability reveals signatures of adaptive plasticity during tetraploid wheat domestication. Plant Cell 36 (9), pp. 3809 - 3823 (2024)

Tong, H.; Laitinen, R.A.E.; Nikoloski, Z.: Predicting plasticity of rosette growth and metabolic fluxes in Arabidopsis thaliana. New Phytologist 240 (1), pp. 426 - 438 (2023)

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 (1), 4897 (2023)

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, e4 (2023)

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 (9), jkac170 (2022)

Tong, H.; Nankar, A.N.; Liu, J.; Todorova, V.; Ganeva, D.; Grozeva, S.; Tringovska, I.; Pasev, G.; Radeva-Ivanova, V.; Gechev, T. et al.; Kostova, D.; Nikoloski, Z.: Genomic prediction of morphometric and colorimetric traits in Solanaceous fruits. Horticulture Research 9, uhac072 (2022)

Zhu, F.; Alseekh, S.; Koper, K.; Tong, H.; Nikoloski, Z.; Naake, T.; Liu, H.; Yan, J.; Brotman, Y.; Wen, W. et al.; Maeda, H.; Cheng, Y.; Fernie, A. R.: Genome-wide association of the metabolic shifts underpinning dark-induced senescence in Arabidopsis. The Plant Cell 34 (1), pp. 557 - 578 (2021)

Mbebi, A. J.; Tong, H.; Nikoloski, Z.: L2,1-norm regularized multivariate regression model with applications to genomic prediction. Bioinformatics 37 (18), pp. 2896 - 2904 (2021)

Tong, H.; Nikoloski, Z.: Machine learning approaches for crop improvement: Leveraging phenotypic and genotypic big data. Journal of Plant Physiology 257, 153354 (2021)

Tong, H.; Küken, A.; Nikoloski, Z.: Integrating molecular markers into metabolic models improves genomic selection for Arabidopsis growth. Nature Communications 11 (1), 2410 (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, pp. 463 - 473 (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 (1), 14386 (2018)

Wu, S.; Tohge, T.; Cuadros-Inostroza, A. C.; Tong, H.; Tenenboim, H.; Kooke, R.; Méret, M.; Keurentjes, J. B.; Nikoloski, Z.; Fernie, A. R. et al.; Willmitzer, L.; Brotman, Y.: Mapping the Arabidopsis Metabolic Landscape by Untargeted Metabolomics at Different Environmental Conditions. Molecular Plant 11 (1), pp. 118 - 134 (2018)

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 (11), pp. 2753 - 2765 (2017)

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, pp. 5123 - 5138 (2021)