Biodiversity of herbaceous vegetaton in abandoned and managed sites under protecton regime: a case study in the Central Forest Reserve, NW Russia

The aim of the study is to characterise herbaceous vegetation (meadows andruderal communities) remaining after several decades of protection and compareit to the vegetation of currently managed local sites in the Central Forest Reserve, Tver Oblast, Russia. Cluster analysis of the communities was based on 209 relevés, while their ecological features were analysed using phytoindicationassessment. Te analyses revealed four types of herbaceous communities: managed mesic meadows, abandoned mesic meadows, tall-herb meadowsweet communities and ruderal tall-herb communities. Tese four types differ in management, floristic composition and ecological conditions as well as in coenotic and functional group shares (including forbs, graminoids and woody species). The occurrence of these species groups determines the current state of the herbaceous communities. Our study revealed that mesic meadows have retained all the key meadow features for more than 25 years without any management, although their area has shrunk and shares of coenotic and functional groups have changed. The observed herbaceous communities encompass around 40% of the reserve flora including four red list species and 16 alien species

PCR-based detection of Pol III-transcribed transposons and its application to the rodent model of ultraviolet response

Cellular levels of RNAs containing transposable elements increase in response to various stresses. Polymerase III (Pol III)-dependent transcripts of transposons are different from transposon-containing RNAs generated by read-through Pol II-dependent transcription. Until now, Pol III transcripts were detected by primer extension followed by time-consuming gel electrophoresis. In this paper, we describe a more sensitive PCR-based method for the selective detection of Pol III-transcribed RNAs. The method is based on the difference in sequences at the 5′ ends of the Pol II- and Pol III-dependent transcripts. We employed this method to quantify Pol III transcripts of transposon B1 in rodent cells and revealed that their levels are affected by UV irradiation. We therefore conclude that the abundance of the Pol III-transcribed fraction of cellular RNA may serve as marker of stress response and can be conveniently quantified by the method described

"Flora of Russia" on iNaturalist: a dataset

The "Flora of Russia" project on iNaturalist brought together professional scientists and amateur naturalists from all over the country. Over 10,000 people are involved in the data collection.Within 20 months the participants accumulated over 750,000 photo observations of 6,853 species of the Russian flora. This constitutes the largest dataset of open spatial data on the country’s biodiversity and a leading source of data on the current state of the national flora. About 85% of all project data are available under free licenses (CC0, CC-BY, CC-BY-NC) and can be freely used in scientific, educational and environmental activities

"Flora of Russia" on iNaturalist: a dataset

The "Flora of Russia" project on iNaturalist brought together professional scientists and amateur naturalists from all over the country. Over 10,000 people are involved in the data collection.Within 20 months the participants accumulated over 750,000 photo observations of 6,853 species of the Russian flora. This constitutes the largest dataset of open spatial data on the country’s biodiversity and a leading source of data on the current state of the national flora. About 85% of all project data are available under free licenses (CC0, CC-BY, CC-BY-NC) and can be freely used in scientific, educational and environmental activities

"Flora of Russia" on iNaturalist: a dataset

The "Flora of Russia" project on iNaturalist brought together professional scientists and amateur naturalists from all over the country. Over 10,000 people are involved in the data collection.Within 20 months the participants accumulated over 750,000 photo observations of 6,853 species of the Russian flora. This constitutes the largest dataset of open spatial data on the country’s biodiversity and a leading source of data on the current state of the national flora. About 85% of all project data are available under free licenses (CC0, CC-BY, CC-BY-NC) and can be freely used in scientific, educational and environmental activities