Aphyllophoroid fungi (Basidiomycota) at deadwood of eight tree species in a mesic broad-leaved forest after a catastrophic windthrow in the Kaluzhskie Zaseki Reserve

Событие
Последняя версия опубликовано Institute of Mathematical Problems of Biology RAS – the Branch of Keldysh Institute of Applied Mathematics of Russian Academy of Sciences дек. 6, 2023 Institute of Mathematical Problems of Biology RAS – the Branch of Keldysh Institute of Applied Mathematics of Russian Academy of Sciences

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Описание

The dataset includes results of basidiomata surveys carried out in August of 2020 and 2021 on lying trunks of trees fallen during the June 2006 windthrow. Trunks of the following eight tree species were observed: Acer platanoides, Betula pendula, Fraxinus excelsior, Picea abies, Populus tremula, Quercus robur, Tilia cordata, and Ulmus glabra. The dataset contains the following data: fungal species identity, tree species identity, id-number of the trunk corresponded to the tree number in the dataset (https://doi.org/10.15468/epgqxk), a surrogate abundance of fungal species on the trunk calculated as sum of its presence on 1-m trunk sections, trunk length and diameter at 1.3 m from the base. The data are published as part of the RSF Project No. 22-24-01063 https://rscf.ru/en/project/22-24-01063/).

Записи данных

Данные этого occurrence ресурса были опубликованы в виде Darwin Core Archive (DwC-A), который является стандартным форматом для обмена данными о биоразнообразии в виде набора из одной или нескольких таблиц. Основная таблица данных содержит 146 записей.

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Версии

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Права

Исследователи должны соблюдать следующие права:

Публикующей организацией и владельцем прав на данную работу является Institute of Mathematical Problems of Biology RAS – the Branch of Keldysh Institute of Applied Mathematics of Russian Academy of Sciences. Эта работа находится под лицензией Creative Commons Attribution (CC-BY 4.0).

Регистрация в GBIF

Этот ресурс был зарегистрирован в GBIF, ему был присвоен следующий UUID: 81a1e670-c84a-4dfc-bcb0-362e7aaebdf2.  Institute of Mathematical Problems of Biology RAS – the Branch of Keldysh Institute of Applied Mathematics of Russian Academy of Sciences отвечает за публикацию этого ресурса, и зарегистрирован в GBIF как издатель данных при оподдержке Participant Node Managers Committee.

Ключевые слова

Occurrence

Контакты

Sergey Volobuev
  • Originator
  • Point Of Contact
  • Senior Researcher
Komarov Botanical Institute of the Russian Academy of Sciences
St. Petersburg
RU

Данные проекта

The species diversity of xylobiont fungi and bacteria in a catastrophic windthrow of a multi-species broad-leaved forest in the Kaluzhskie Zaseki State Nature Reserve will be assessed by means of metagenomic analysis. Forests in the Reserve are unique in their multi-species composition, high tree age and relatively large area; they are "reference areas" for both forest biodiversity protection and ecosystem-based forest management in the temperate forest region. Coarse woody debris (deadwood) plays a major role in nutrient cycling as a temporary storage stock of carbon and macro- and micronutrients, which become available to biota during the deadwood decomposition. Understanding the factors affecting wood decomposition is necessary to assess the carbon sequestration capacity of forests, which is a key issue addressing climate change. Fungi and bacteria are the main destructors of deadwood; xylotrophic fungal communities being highly diverse and including rare and endangered taxa. Despite the high importance of research on wood decomposition processes, their detailed analysis has only recently begun. It becomes possible due to the emergence of the newest methods for analyzing natural ecosystems, methods for assessing their diversity and functioning. One of these newest methods is metagenomic research, which allows analysis of fungal diversity not only by fruiting bodies, but also by their dark diversity and by the bacterial community that develops in dead wood. The novelty and originality of the research is determined both by the integrated approach (ecology of biosystem, mycology and structural genomics) and by the uniquely wide range of research objects. For the first time, metagenomics methods will be applied to identify the diversity of xylobiont fungi and bacteria on deadwood samples of eight tree species (Quercus robur, Fraxinus excelsior, Tilia cordata, Ulmus glabra, Acer platanoides, Populus tremula, Betula pendula, and Picea abies) at five decay stages; all the deadwood was formed due to the natural disturbance by catastrophic windthrow happened in 2006. A significant objective of the project is DNA barcoding of macromycetes based on sequencing of fruit bodies collected in habitats where sampling for metagenomic analysis will be carried out and for which there is no information in reference databases on nucleotide sequences. Sanger sequencing of freshly collected fruit body samples of fungi that develop directly in the habitats under study will allow the generation of an array of reference nucleotide sequences and reduce the number of 'nameless' OTUs when interpreting metagenomic sequencing results. The project will conclude with an assessment of fungal and bacterial diversity and an analysis of the relationships between the diversity and composition of xylobionts and the taxonomic identity, decomposition stage of the wood samples, and their physical and chemical characteristics as well.

Название Metagenomic analysis of xylobiont fungi and bacteria in deadwoods of deciduous and coniferous trees at different stages of decomposition after a catastrophic windthrow in a mesic broad-leaved forest
Идентификатор 22-24-01063
Финансирование Russian Science Foundation

Исполнители проекта:

Larisa G. Khanina

Библиографические ссылки

  1. Khanina L G, Bobrovsky M V, Ivanova N V (2023). Element content, bulk density, and pH in living and dead wood of 8 tree species in a mesic broad-leaved forest in the East European Plain. Version 1.10. Institute of Mathematical Problems of Biology RAS – the Branch of Keldysh Institute of Applied Mathematics of Russian Academy of Sciences. Sampling event dataset https://doi.org/10.15468/epgqxk

Дополнительные метаданные

Альтернативные идентификаторы 81a1e670-c84a-4dfc-bcb0-362e7aaebdf2
http://gbif.ru:8080/ipt/resource?r=fungi2023rnf