TY - JOUR A1 - Bae, Soyeon A1 - Müller, Jörg A1 - Förster, Bernhard A1 - Hilmers, Torben A1 - Hochrein, Sophia A1 - Jacobs, Martin A1 - Leroy, Benjamin M. L. A1 - Pretzsch, Hans A1 - Weisser, Wolfgang W. A1 - Mitesser, Oliver T1 - Tracking the temporal dynamics of insect defoliation by high‐resolution radar satellite data JF - Methods in Ecology and Evolution N2 - Quantifying tree defoliation by insects over large areas is a major challenge in forest management, but it is essential in ecosystem assessments of disturbance and resistance against herbivory. However, the trajectory from leaf-flush to insect defoliation to refoliation in broadleaf trees is highly variable. Its tracking requires high temporal- and spatial-resolution data, particularly in fragmented forests. In a unique replicated field experiment manipulating gypsy moth Lymantria dispar densities in mixed-oak forests, we examined the utility of publicly accessible satellite-borne radar (Sentinel-1) to track the fine-scale temporal trajectory of defoliation. The ratio of backscatter intensity between two polarizations from radar data of the growing season constituted a canopy development index (CDI) and a normalized CDI (NCDI), which were validated by optical (Sentinel-2) and terrestrial laser scanning (TLS) data as well by intensive caterpillar sampling from canopy fogging. The CDI and NCDI strongly correlated with optical and TLS data (Spearman's ρ = 0.79 and 0.84, respectively). The ΔNCDII\(_{Defoliation(A−C)}\) significantly explained caterpillar abundance (R\(^{2}\) = 0.52). The NCDI at critical timesteps and ΔNCDI related to defoliation and refoliation well discriminated between heavily and lightly defoliated forests. We demonstrate that the high spatial and temporal resolution and the cloud independence of Sentinel-1 radar potentially enable spatially unrestricted measurements of the highly dynamic canopy herbivory. This can help monitor insect pests, improve the prediction of outbreaks and facilitate the monitoring of forest disturbance, one of the high priority Essential Biodiversity Variables, in the near future. KW - Sentinel-1 KW - canopy herbivory KW - defoliation severity KW - gypsy moth KW - insect disturbance KW - intra-annual time-series KW - Lymantria dispar KW - remote sensing Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-258222 VL - 13 IS - 1 ER - TY - JOUR A1 - Wu, Hao A1 - Zhao, Xiufeng A1 - Hochrein, Sophia M. A1 - Eckstein, Miriam A1 - Gubert, Gabriela F. A1 - Knöpper, Konrad A1 - Mansilla, Ana Maria A1 - Öner, Arman A1 - Doucet-Ladevèze, Remi A1 - Schmitz, Werner A1 - Ghesquière, Bart A1 - Theurich, Sebastian A1 - Dudek, Jan A1 - Gasteiger, Georg A1 - Zernecke, Alma A1 - Kobold, Sebastian A1 - Kastenmüller, Wolfgang A1 - Vaeth, Martin T1 - Mitochondrial dysfunction promotes the transition of precursor to terminally exhausted T cells through HIF-1α-mediated glycolytic reprogramming JF - Nature Communications N2 - T cell exhaustion is a hallmark of cancer and persistent infections, marked by inhibitory receptor upregulation, diminished cytokine secretion, and impaired cytolytic activity. Terminally exhausted T cells are steadily replenished by a precursor population (Tpex), but the metabolic principles governing Tpex maintenance and the regulatory circuits that control their exhaustion remain incompletely understood. Using a combination of gene-deficient mice, single-cell transcriptomics, and metabolomic analyses, we show that mitochondrial insufficiency is a cell-intrinsic trigger that initiates the functional exhaustion of T cells. At the molecular level, we find that mitochondrial dysfunction causes redox stress, which inhibits the proteasomal degradation of hypoxia-inducible factor 1α (HIF-1α) and promotes the transcriptional and metabolic reprogramming of Tpex cells into terminally exhausted T cells. Our findings also bear clinical significance, as metabolic engineering of chimeric antigen receptor (CAR) T cells is a promising strategy to enhance the stemness and functionality of Tpex cells for cancer immunotherapy. KW - cytotoxic T cells KW - infection KW - lymphocyte differentiation KW - translational research Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-358052 VL - 14 ER -