Wilding, N. | bioRxiv Science

bioRxiv2026

Global failure to track international biodiversity targets on islands

Islands harbour exceptional biodiversity but face severe threats, making their conservation crucial to achieving the goals and targets of the Kunming-Montreal Global Biodiversity Framework. We therefore evaluated whether existing indicators can track progress toward the Framework's 23 targets across islands worldwide. We screened 504 biodiversity and socioeconomic indicators from the official framework and other global initiatives, retaining 47 indicators. Historical time series from 1950 onward were modelled and projected to 2030. Indicators were also classified using the Driver-Pressure-State-Impact-Response (DPSIR) and Theory of Change (ToC). Results showed uneven progress: eight targets improved across all available indicators, while ten displayed conflicting trends. Nearly half of the indicators focused on policy and management responses showed improvement, whereas trends in biodiversity pressures and states were mixed. Critically, 15 of 23 targets (65%) lacked a suitable headline indicator, and five targets had no indicator at all. Notably, Targets 2 and 8, addressing ecosystem restoration and climate change impacts, respectively, lacked island indicators entirely. Over half of the available indicators (29 of 47; 62%) were reported at the national level, limiting their applicability to subnational island jurisdictions and potentially obscuring differences between mainland and island conditions. Most targets also lacked quantitative objectives, limiting evaluation of whether the rate of change is sufficient to meet the targets by 2030. We recommend island-level reporting, island-specific indicators, and quantitative benchmarks tailored to island needs.

ecology↗

bioRxiv2023

Crossroads of assembling a moss genome: navigating contaminants and horizontal gene transfer in the moss Physcomitrellopsis africana

The first chromosome-scale reference genome of the rare narrow-endemic African moss Physcomitrellopsis africana is presented here. Assembled from 73x nanopore long reads and 163x BGI-seq short reads, the 414 Mb reference comprises 26 chromosomes and 22,925 protein-coding genes (BUSCO: C:94.8%[D:13.9%]). This genome holds two genes that withstood rigorous filtration of microbial contaminants, have no homolog in other land plants and are thus interpreted as resulting from two unique horizontal gene transfers from microbes. Further, Physcomitrellopsis africana shares 176 of the 273 published HGT candidates identified in Physcomitrium patens, but lacks 98 of these, highlighting that perhaps as many as 91 genes were acquired in P. patens in the last 40 million years following its divergence from its common ancestor with P. africana. These observations suggest rather continuous gene gains via HGT followed by potential losses, during the diversification of the Funariaceae. Our findings showcase both dynamic flux in plant HGTs over evolutionarily "short" timescales, alongside enduring impacts of successful integrations, like those still functionally maintained in extant Physcomitrellopsis africana. Furthermore, this study describes the informatic processes employed to distinguish contaminants from candidate HGT events. Article SummaryThe first draft genome of the rare South African endemic moss Physcomitrellopsis Africana is presented. The 414 Mb assembly contains 22,925 genes, including two uniquely horizontally transferred genes, but lacks 97 of the microbial genes previously identified in the closely related model, Physcomitrium patens - highlighting the dynamic role of HGT in the evolution of these moss genomes and loss. This study presents best practices for contamination detection and new insights into HGT identification.

genomics↗