Project description:Human-mediated transport of species outside their natural range is a rapidly growing threat to biodiversity, particularly for island ecosystems that have evolved in isolation. The genetic structure underpinning island populations will largely determine their response to increased transport and thus help to inform biosecurity management. However, this information is severely lacking for some groups, such as the soil fauna. We therefore analysed the phylogeographic structure of an indigenous and an invasive springtail species (Collembola: Poduromorpha), each distributed across multiple remote sub-Antarctic islands, where human activity is currently intensifying. For both species, we generated a genome-wide SNP data set and additionally analysed all available COI barcodes. Genetic differentiation in the indigenous springtail Tullbergia bisetosa is substantial among (and, to a lesser degree, within) islands, reflecting low dispersal and historic population fragmentation, while COI patterns reveal ancestral signatures of postglacial recolonization. This pronounced geographic structure demonstrates the key role of allopatric divergence in shaping the region's diversity and highlights the vulnerability of indigenous populations to genetic homogenization via human transport. For the invasive species Hypogastrura viatica, nuclear genetic structure is much less apparent, particularly for islands linked by regular shipping, while diverged COI haplotypes indicate multiple independent introductions to each island. Thus, human transport has likely facilitated this species' persistence since its initial colonization, through the ongoing introduction and inter-island spread of genetic variation. These findings highlight the different evolutionary consequences of human transport for indigenous and invasive soil species. Crucially, both outcomes demonstrate the need for improved intraregional biosecurity among remote island systems, where the policy focus to date has been on external introductions.

Project description:Dysregulated kinase activity drives oncogenic signalling, perturbs cellular homeostasis, and promotes tumour progression. Despite major success in targeting kinases therapeutically, the downstream consequences of kinase inhibition and the mechanisms underlying drug resistance remain incompletely understood. One of the most frequent oncogenic kinase mutations, BRAFV600E, constitutively activates the MAPK pathway and represents a major therapeutic target in melanoma and other cancers. However, the functional relevance of most phosphorylation events downstream of BRAF signalling is unknown, limiting mechanistic interpretation and rational therapeutic design. Here, we established a global, multi-omic model of BRAF inhibition response in BRAFV600E-mutant melanoma cells by integrating time-resolved phosphoproteomics, biophysical PTM-proteomics, transcriptomics, and thermal proteome profiling. Our ultradeep phosphoproteomic analysis revealed widespread phosphorylation changes upon Dabrafenib treatment, while biophysical phosphoproteomics uncovered phosphorylation events associated with altered solubility and subcellular localisation, indicative of biomolecular condensation and nuclear reorganisation. Integration of these modalities into a network-based mechanistic model enabled the prioritisation of functionally relevant phosphorylation sites and kinases. Experimental validation confirmed CDK9, CLK3, and TNIK as key regulators of BRAFV600E signalling and as candidate targets for combinatorial inhibition strategies capable of re-sensitising resistant melanoma cells in a synthetic lethal manner. The transcription factor ETV3 emerged from the network as a previously unrecognised effector of oncogenic BRAF signalling. Using phosphosite-specific biophysical data, imaging, and FRAP experiments, we demonstrated that ETV3 phosphorylation controls its DNA-binding kinetics. Functional assays combining ETV3 knockdown, metabolomics, and drug screening revealed that ETV3 modulates transcriptional and metabolic responses to BRAF inhibition, linking oncogenic signalling to metabolic rewiring. Together, this study provides a comprehensive systems-level framework that connects phosphorylation dynamics to protein function and cellular phenotype, highlights ETV3 as a novel signalling node, and illustrates how multi-omic, site-resolved network models can reveal actionable mechanisms of kinase-driven oncogenesis.

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Repeated invasions cause destabilisation of functional networks.

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