SummaryRetrotransposons are the major component of plant genomes. Chromodomain-containing Gypsy long terminal repeat (LTR) retrotransposons are widely distributed in eukaryotes. Four distinct clades of chromodomain-containing Gypsy retroelements are known from the vascular plants: Reina, CRM, Galadriel and Tekay. At the same time, almost nothing is known about the repertoire of LTR retrotransposons in bryophyte genomes. We have combined a search of chromodomain-containing Gypsy retroelements in Physcomitrella genomic sequences and an experimental investigation of diverse moss species. The computerbased mining of the chromodomain-containing LTR retrotransposons allowed us to describe four different elements from Physcomitrella. Four novel clades were identified that are evolutionarily distinct from the chromodomain-containing Gypsy LTR retrotransposons of other plants.
This publication is to announce the database of the Moss Flora of Russia at http://arctoa.ru/Flora/ basa.php. It also explains the strategy and approaches so as to be maximally useful for the publication of the Moss Flora of Russia, a six-volume print edition that was started in 2017. The database currently contains over 128 000 records; it is shown to be reasonably complete for illustrating the species distribution within the expanded territory of the country. A number of scripts allow instant comparison of various territories, highlighting hotspots and underexplored areas. Problems of data control and presentation are discussed. Резюме В данной статье анонсируется база данных по флоре мхов России, размещенная по адресу http://arctoa.ru/Flora/basa.php. В ней также представлены стратегия и подходы к максимально полному ее использованию для подготовки публикации шеститомного печатного издания "Флора мхов России", которое стартовало в 2017 г. В настоящее время в базе представлено более 128 000 образцов; показано, что уже сейчас распространение видов на территории страны отражается адекватно. Наличие нескольких скриптов позволяет быстро проводить сравнение флор разных территорий, которое выявляет наиболее флористически богатые регионы и "белые пятна" в исследовании флор. Обсуждаются проблемы контроля за внесением информации и ее представ-лением.
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