Ciencia habilitada por datos de especímenes
Cohen, S. D. 2023. Estimating the Climate Niche of Sclerotinia sclerotiorum Using Maximum Entropy Modeling. Journal of Fungi 9: 892. https://doi.org/10.3390/jof9090892
Sclerotinia sclerotiorum, a fungal pathogen, causes world-wide crop losses and additional disease management strategies are needed. Modeling the climate niche of this fungus may offer a tool for the selection of biological control organisms and cultural methods of control. Maxent, a modeling technique, was used to characterize the climate niche for the fungus. The technique requires disease occurrence data, bioclimatic data layers, and geospatial analysis. A cross-correlation was performed with ArcGIS 10.8.1, to reduce nineteen bioclimatic variables (WorldClim) to nine variables. The model results were evaluated by AUC (area under the curve). A final model was created with the random seed procedure of Maxent and gave an average AUC of 0.935 with an AUC difference of −0.008. The most critical variables included annual precipitation (importance: 14.1%) with a range of 450 mm to 2500 mm and the mean temperature of the coldest quarter0 (importance: 55.6%) with a range of −16 °C to 24 °C, which contributed the most to the final model. A habitat suitability map was generated in ArcGIS 10.8.1 from the final Maxent model. The final model was validated by comparing results with another occurrence dataset. A Z-Score statistical test confirmed no significant differences between the two datasets for all suitability areas.
[NO TITLE AVAILABLE] https://doi.org/10.50826/bnmnsbot.48.2_31
To clarify biogeographic patterns of two mushroom species (Phallus merulinus and Geastrum courtecuissei) previously reported from Myanmar, sequence data of the internal transcribed spacer (ITS) region of nuclear ribosomal DNA were retrieved from GenBank. The BLAST search and phylogenetic analyses of Phallus indicated that P. merulinus and P. atrovolvatus from wide areas, including Australia, Myanmar, Thailand, Brazil, and French Guiana, cannot be distinguished molecularly. The species was, therefore, considered widespread across tropical to subtropical regions. In contrast, G. courtecuissei from Myanmar was tightly clustered exclusively with G. courtecuissei from Central and South America, supporting the idea of its disjunct distribution between Southeast Asia (Myanmar) and Central-South Americas.
TREVIÑO-ZEVALLOS, I., I. GARCÍA-CUNCHILLOS, and C. LADO. 2021. New records of Myxomycetes (Amoebozoa) from the tropical Andes. Phytotaxa 522: 231–239. https://doi.org/10.11646/phytotaxa.522.3.6
The Myxomycetes comprise a remarkably diverse group of organisms within Amoebozoa, with over 1000 species currently recognized. These organisms, at the end of their life cycles produce fruiting bodies which are the basis for their systematics. Despite being a biodiversity hotspot, the tropical Andes…
Fernández‐López, J., M. T. Telleria, M. Dueñas, T. May, and M. P. Martín. 2021. DNA barcode analyses improve accuracy in fungal species distribution models. Ecology and Evolution 11: 8993–9009. https://doi.org/10.1002/ece3.7737
Species distribution models based on environmental predictors are useful to explain a species geographic range. For many groups of organisms, including fungi, the increase in occurrence data sets has generalized their use. However, fungal species are not always easy to distinguish, and taxonomy of m…
Talhinhas, P. 2019. An annotated checklist of rust fungi (Pucciniales) occurring in Portugal. Sydowia An International Journal of Mycology 71: 65–84. https://doi.org/10.12905/0380.sydowia71-2019-0065
In this work we have retrieved and analysed data for 2319 occurrences of rust fungi from 246 Pucciniales taxa in Portugal based on 115 publications and our own surveys, totalizing 683 rust taxon-host taxon unique combinations. This list was updated according to current taxonomic framework and georef…