Exploring non-model species Many biological materials of interest come from less-studied species compared to model organisms (Table ). The development of new model species is supported by versatile research tools 480 , notably single-cell multi-omics . Adult stem cells are identified across kingdoms and for many species, cells can be dedifferentiated into iPSC 486 owing to greater insights into reprogramming factors 487 since Takahashi and Yamanaka's discovery in 2006 248 . Similarly, the achievement of organoid development by has reached many new tissues and organisms (Table ). Expanding organoids to lesser-studied species, notably for material production, is challenging due to the difficulty to transferring biological knowledge from one species to another . Computational approaches help to generalize information across species, such as the inference of gene annotations, sets, pathways, GRN 492 , phenotypes or cell types. Many algorithms often use conserved molecular components (e.g. orthologs) to find similarities between organisms 493 . Similarly, cross-species knowledge transfer can be viewed as "horizontal" connections between the landscapes of different organisms (Fig. ). As hierarchical landscapes can also link biological scales (Fig. ), we suggest their use to infer cell types 494 and organogenesis mechanisms from known species to non-model organisms (Fig. ). Transferring landscape topography across species could and guide experiments by highlighting regions of interest, likely to contain cell types or molecular components, such as promoter, growth factors or "missing links" in signaling pathways. Such cross-species knowledge transfers could help accelerate the current expansion of organoid technologies to non-model species that produce biological materials.