High-throughput sequencing view on the magnitude of global fungal diversity

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388971%3A_____%2F22%3A00558417" target="_blank" >RIV/61388971:_____/22:00558417 - isvavai.cz</a>

Result on the web

<a href="https://link.springer.com/article/10.1007/s13225-021-00472-y" target="_blank" >https://link.springer.com/article/10.1007/s13225-021-00472-y</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s13225-021-00472-y" target="_blank" >10.1007/s13225-021-00472-y</a>

Result language

angličtina

Original language name

High-throughput sequencing view on the magnitude of global fungal diversity

Original language description

High-throughput DNA sequencing has dramatically transformed several areas of biodiversity research including mycology. Despite limitations, high-throughput sequencing is nowadays a predominant method to characterize the alpha and beta diversity of fungal communities. Across the papers utilizing high-throughput sequencing approaches to study natural habitats in terrestrial ecosystems worldwide, > 200 studies published until 2019 have generated over 250 million sequences of the primary mycological metabarcoding marker, the nuclear ribosomal internal transcribed spacer 2 (ITS2). Here we show that at a 97% sequence similarity threshold, the total richness of non-singleton fungal taxa across the studies published so far is 1.08 million, mostly Ascomycota (56.8% of the taxa) and Basidiomycota (36.7% of the taxa). The Chao-1 estimate of the total extant fungal diversity based on this dataset is 6.28 million taxa, representing a conservative estimate of global fungal species richness. Soil and litter represent the habitats with the highest alpha diversity of fungi followed by air, plant shoots, plant roots and deadwood with Chao-1 predictions, for samples containing 5000 sequences, of 1219, 569, 392, 228, 215 and 140 molecular species, respectively. Based on the high-throughput sequencing data, the highest proportion of unknown fungal species is associated with samples of lichen and plant tissues. When considering the use of high-throughput sequencing for the estimation of global fungal diversity, the limitations of the method have to be taken into account, some of which are sequencing platform-specific while others are inherent to the metabarcoding approaches of species representation. In this respect, high-throughput sequencing data can complement fungal diversity predictions based on methods of traditional mycology and increase our understanding of fungal biodiversity.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10606 - Microbiology

Project

<a href="/en/project/GA18-26191S" target="_blank" >GA18-26191S: Fungal communities in the environment: exploring fungal ecology and biogeography using the combination of novel molecular markers and metaanalyses</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Fungal Diversity

ISSN

1560-2745

e-ISSN

1878-9129

Volume of the periodical

114

Issue of the periodical within the volume

1

Country of publishing house

CN - CHINA

Number of pages

9

Pages from-to

539-547

UT code for WoS article

000619709700001

EID of the result in the Scopus database

2-s2.0-85101234287