TY - JOUR
T1 - Unambiguous identification of fungi: where do we stand and how accurate and precise is fungal DNA barcoding?
AU - Lücking, Robert
AU - Aime, M. Catherine
AU - Robbertse, Barbara
AU - Miller, Andrew N.
AU - Ariyawansa, Hiran A.
AU - Aoki, Takayuki
AU - Cardinali, Gianluigi
AU - Crous, Pedro W.
AU - Druzhinina, Irina S.
AU - Geiser, David M.
AU - Hawksworth, David L.
AU - Hyde, Kevin D.
AU - Irinyi, Laszlo
AU - Jeewon, Rajesh
AU - Johnston, Peter R.
AU - Kirk, Paul M.
AU - Malosso, Elaine
AU - May, Tom W.
AU - Meyer, Wieland
AU - Öpik, Maarja
AU - Robert, Vincent
AU - Stadler, Marc
AU - Thines, Marco
AU - Vu, Duong
AU - Yurkov, Andrey M.
AU - Zhang, Ning
AU - Schoch, Conrad L.
N1 - Funding Information:
This work was partially supported by the Intramural Research Program of the National Library of Medicine at the NIH in Bethesda, Maryland, USA. DMG received support through NSF grant DEB-1655980 and Project 4655 of the Pennsylvania State Agricultural Experiment Station. EM acknowledges CAPES (Coordena??o de Aperfei?oamento de Pessoal de N vel Superior, Brazil) and FACEPE (Funda??o de Amparo ? Ci?ncia e Tecnologia de Pernambuco, Brazil). KDH would like to thank the Thailand Research Fund, grant RDG6130001, entitled "Impact of Climate Change on Fungal Diversity and Biogeography in the Greater Mekong Subregion". The USDA Hatch project 1010662 is acknowledged for support to MCA. M? was supported by the European Regional Development Fund (Centre of Excellence EcolChange). MT acknowledges LOEWE for funding in the framework of the Centre for Translational Biodiversity Genomics (TBG) and the German Science Foundation. NZ acknowledges the National Science Foundation of the United States (DEB-1452971). PRJ was supported through the Manaaki Whenua Biota Portfolio with funding from the Science and Innovation Group of the New Zealand Ministry of Business, Innovation and Employment. RJ thanks the University of Mauritius for research support.
PY - 2020/7/10
Y1 - 2020/7/10
N2 - True fungi (Fungi) and fungus-like organisms (e.g. Mycetozoa, Oomycota) constitute the second largest group of organisms based on global richness estimates, with around 3 million predicted species. Compared to plants and animals, fungi have simple body plans with often morphologically and ecologically obscure structures. This poses challenges for accurate and precise identifications. Here we provide a conceptual framework for the identification of fungi, encouraging the approach of integrative (polyphasic) taxonomy for species delimitation, i.e. the combination of genealogy (phylogeny), phenotype (including autecology), and reproductive biology (when feasible). This allows objective evaluation of diagnostic characters, either phenotypic or molecular or both. Verification of identifications is crucial but often neglected. Because of clade-specific evolutionary histories, there is currently no single tool for the identification of fungi, although DNA barcoding using the internal transcribed spacer (ITS) remains a first diagnosis, particularly in metabarcoding studies. Secondary DNA barcodes are increasingly implemented for groups where ITS does not provide sufficient precision. Issues of pairwise sequence similarity-based identifications and OTU clustering are discussed, and multiple sequence alignment-based phylogenetic approaches with subsequent verification are recommended as more accurate alternatives. In metabarcoding approaches, the trade-off between speed and accuracy and precision of molecular identifications must be carefully considered. Intragenomic variation of the ITS and other barcoding markers should be properly documented, as phylotype diversity is not necessarily a proxy of species richness. Important strategies to improve molecular identification of fungi are: (1) broadly document intraspecific and intragenomic variation of barcoding markers; (2) substantially expand sequence repositories, focusing on undersampled clades and missing taxa; (3) improve curation of sequence labels in primary repositories and substantially increase the number of sequences based on verified material; (4) link sequence data to digital information of voucher specimens including imagery. In parallel, technological improvements to genome sequencing offer promising alternatives to DNA barcoding in the future. Despite the prevalence of DNA-based fungal taxonomy, phenotype-based approaches remain an important strategy to catalog the global diversity of fungi and establish initial species hypotheses.
AB - True fungi (Fungi) and fungus-like organisms (e.g. Mycetozoa, Oomycota) constitute the second largest group of organisms based on global richness estimates, with around 3 million predicted species. Compared to plants and animals, fungi have simple body plans with often morphologically and ecologically obscure structures. This poses challenges for accurate and precise identifications. Here we provide a conceptual framework for the identification of fungi, encouraging the approach of integrative (polyphasic) taxonomy for species delimitation, i.e. the combination of genealogy (phylogeny), phenotype (including autecology), and reproductive biology (when feasible). This allows objective evaluation of diagnostic characters, either phenotypic or molecular or both. Verification of identifications is crucial but often neglected. Because of clade-specific evolutionary histories, there is currently no single tool for the identification of fungi, although DNA barcoding using the internal transcribed spacer (ITS) remains a first diagnosis, particularly in metabarcoding studies. Secondary DNA barcodes are increasingly implemented for groups where ITS does not provide sufficient precision. Issues of pairwise sequence similarity-based identifications and OTU clustering are discussed, and multiple sequence alignment-based phylogenetic approaches with subsequent verification are recommended as more accurate alternatives. In metabarcoding approaches, the trade-off between speed and accuracy and precision of molecular identifications must be carefully considered. Intragenomic variation of the ITS and other barcoding markers should be properly documented, as phylotype diversity is not necessarily a proxy of species richness. Important strategies to improve molecular identification of fungi are: (1) broadly document intraspecific and intragenomic variation of barcoding markers; (2) substantially expand sequence repositories, focusing on undersampled clades and missing taxa; (3) improve curation of sequence labels in primary repositories and substantially increase the number of sequences based on verified material; (4) link sequence data to digital information of voucher specimens including imagery. In parallel, technological improvements to genome sequencing offer promising alternatives to DNA barcoding in the future. Despite the prevalence of DNA-based fungal taxonomy, phenotype-based approaches remain an important strategy to catalog the global diversity of fungi and establish initial species hypotheses.
KW - COX1
KW - COX2
KW - Oxford Nanopore technologies
KW - PacBio
KW - RPB2
KW - Read placement
KW - Species concepts
KW - TEF1
UR - http://www.scopus.com/inward/record.url?scp=85092314999&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85092314999&partnerID=8YFLogxK
U2 - 10.1186/s43008-020-00033-z
DO - 10.1186/s43008-020-00033-z
M3 - Article
C2 - 32714773
AN - SCOPUS:85092314999
SN - 2210-6340
VL - 11
JO - IMA Fungus
JF - IMA Fungus
IS - 1
M1 - 33
ER -