| Literature DB >> 33903746 |
Robert Lücking1,2, M Catherine Aime2,3, Barbara Robbertse4, Andrew N Miller2,5, Takayuki Aoki2,6, Hiran A Ariyawansa2,7, Gianluigi Cardinali8, Pedro W Crous2,9,10, Irina S Druzhinina2,11,12, David M Geiser2,13, David L Hawksworth2,14,15,16,17, Kevin D Hyde2,18,19,20,21, Laszlo Irinyi22,23,24,25, Rajesh Jeewon26, Peter R Johnston2,27, Paul M Kirk28, Elaine Malosso2,29, Tom W May2,30, Wieland Meyer22,23,24,25, Henrik R Nilsson31, Maarja Öpik2,32, Vincent Robert8,9, Marc Stadler2,33,34, Marco Thines2,35,36, Duong Vu9, Andrey M Yurkov2,37, Ning Zhang2,38, Conrad L Schoch39,40.
Abstract
The identification and proper naming of microfungi, in particular plant, animal and human pathogens, remains challenging. Molecular identification is becoming the default approach for many fungal groups, and environmental metabarcoding is contributing an increasing amount of sequence data documenting fungal diversity on a global scale. This includes lineages represented only by sequence data. At present, these taxa cannot be formally described under the current nomenclature rules. By considering approaches used in bacterial taxonomy, we propose solutions for the nomenclature of taxa known only from sequences to facilitate consistent reporting and communication in the literature and public sequence repositories.Entities:
Mesh：
Substances：
Year: 2021 PMID： 33903746 DOI： 10.1038/s41564-021-00888-x
Source DB: PubMed Journal: Nat Microbiol ISSN： 2058-5276 Impact factor: 17.745