@article{BrunkSputhDooseetal.2018,
  author    = {Brunk, Michael and Sputh, Sebastian and Doose, S{\"o}ren and van de Linde, Sebastian and Terpitz, Ulrich},
  title     = {HyphaTracker: An ImageJ toolbox for time-resolved analysis of spore germination in filamentous fungi},
  series = {Scientific Reports},
  volume    = {8},
  journal   = {Scientific Reports},
  doi       = {10.1038/s41598-017-19103-1},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-221691},
  year      = {2018},
  abstract  = {The dynamics of early fungal development and its interference with physiological signals and environmental factors is yet poorly understood. Especially computational analysis tools for the evaluation of the process of early spore germination and germ tube formation are still lacking. For the time-resolved analysis of conidia germination of the filamentous ascomycete Fusarium fujikuroi we developed a straightforward toolbox implemented in ImageJ. It allows for processing of microscopic acquisitions (movies) of conidial germination starting with drift correction and data reduction prior to germling analysis. From the image time series germling related region of interests (ROIs) are extracted, which are analysed for their area, circularity, and timing. ROIs originating from germlings crossing other hyphae or the image boundaries are omitted during analysis. Each conidium/hypha is identified and related to its origin, thus allowing subsequent categorization. The efficiency of HyphaTracker was proofed and the accuracy was tested on simulated germlings at different signal-to-noise ratios. Bright-field microscopic images of conidial germination of rhodopsin-deficient F. fujikuroi mutants and their respective control strains were analysed with HyphaTracker. Consistent with our observation in earlier studies the CarO deficient mutant germinated earlier and grew faster than other, CarO expressing strains.},
  language  = {en}
}
@article{AdamDeimelPardoMedinaetal.2018,
  author    = {Adam, Alexander and Deimel, Stephan and Pardo-Medina, Javier and Garc{\´i}a-Mart{\´i}nez, Jorge and Konte, Tilen and Lim{\´o}n, M. Carmen and Avalos, Javier and Terpitz, Ulrich},
  title     = {Protein activity of the \(Fusarium\) \(fujikuroi\) rhodopsins CarO and OpsA and their relation to fungus-plant interaction},
  series = {International Journal of Molecular Sciences},
  volume    = {19},
  journal   = {International Journal of Molecular Sciences},
  number    = {1},
  issn      = {1422-0067},
  doi       = {10.3390/ijms19010215},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-285125},
  year      = {2018},
  abstract  = {Fungi possess diverse photosensory proteins that allow them to perceive different light wavelengths and to adapt to changing light conditions in their environment. The biological and physiological roles of the green light-sensing rhodopsins in fungi are not yet resolved. The rice plant pathogen Fusarium fujikuroi exhibits two different rhodopsins, CarO and OpsA. CarO was previously characterized as a light-driven proton pump. We further analyzed the pumping behavior of CarO by patch-clamp experiments. Our data show that CarO pumping activity is strongly augmented in the presence of the plant hormone indole-3-acetic acid and in sodium acetate, in a dose-dependent manner under slightly acidic conditions. By contrast, under these and other tested conditions, the Neurospora rhodopsin (NR)-like rhodopsin OpsA did not exhibit any pump activity. Basic local alignment search tool (BLAST) searches in the genomes of ascomycetes revealed the occurrence of rhodopsin-encoding genes mainly in phyto-associated or phytopathogenic fungi, suggesting a possible correlation of the presence of rhodopsins with fungal ecology. In accordance, rice plants infected with a CarO-deficient F. fujikuroi strain showed more severe bakanae symptoms than the reference strain, indicating a potential role of the CarO rhodopsin in the regulation of plant infection by this fungus.},
  language  = {en}
}