The Taxon Hypothesis Paradigm-On the Unambiguous Detection and Communication of Taxa.

DNA taxonomy biodiversity informatics discovery of species metabarcoding microbial species species hypotheses taxon hypotheses taxonomy

Journal

Microorganisms
ISSN: 2076-2607
Titre abrégé: Microorganisms
Pays: Switzerland
ID NLM: 101625893

Informations de publication

Date de publication:
30 Nov 2020
Historique:
received: 31 10 2020
accepted: 24 11 2020
entrez: 3 12 2020
pubmed: 4 12 2020
medline: 4 12 2020
Statut: epublish

Résumé

Here, we describe the taxon hypothesis (TH) paradigm, which covers the construction, identification, and communication of taxa as datasets. Defining taxa as datasets of individuals and their traits will make taxon identification and most importantly communication of taxa precise and reproducible. This will allow datasets with standardized and atomized traits to be used digitally in identification pipelines and communicated through persistent identifiers. Such datasets are particularly useful in the context of formally undescribed or even physically undiscovered species if data such as sequences from samples of environmental DNA (eDNA) are available. Implementing the TH paradigm will to some extent remove the impediment to hastily discover and formally describe all extant species in that the TH paradigm allows discovery and communication of new species and other taxa also in the absence of formal descriptions. The TH datasets can be connected to a taxonomic backbone providing access to the vast information associated with the tree of life. In parallel to the description of the TH paradigm, we demonstrate how it is implemented in the UNITE digital taxon communication system. UNITE TH datasets include rich data on individuals and their rDNA ITS sequences. These datasets are equipped with digital object identifiers (DOI) that serve to fix their identity in our communication. All datasets are also connected to a GBIF taxonomic backbone. Researchers processing their eDNA samples using UNITE datasets will, thus, be able to publish their findings as taxon occurrences in the GBIF data portal. UNITE species hypothesis (species level THs) datasets are increasingly utilized in taxon identification pipelines and even formally undescribed species can be identified and communicated by using UNITE. The TH paradigm seeks to achieve unambiguous, unique, and traceable communication of taxa and their properties at any level of the tree of life. It offers a rapid way to discover and communicate undescribed species in identification pipelines and data portals before they are lost to the sixth mass extinction.

Identifiants

pubmed: 33266327
pii: microorganisms8121910
doi: 10.3390/microorganisms8121910
pmc: PMC7760934
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Urmas Kõljalg (U)

Natural History Museum, University of Tartu, 14a Ravila, 50411 Tartu, Estonia.
Institute of Ecology and Earth Sciences, University of Tartu, 14a Ravila, 50411 Tartu, Estonia.

Henrik R Nilsson (HR)

Department of Biological and Environmental Sciences, Gothenburg Global Biodiversity Centre, University of Gothenburg, Box 461, 405 30 Göteborg, Sweden.

Dmitry Schigel (D)

Global Biodiversity Information Facility, 2100 Copenhagen, Denmark.

Leho Tedersoo (L)

Institute of Ecology and Earth Sciences, University of Tartu, 14a Ravila, 50411 Tartu, Estonia.

Karl-Henrik Larsson (KH)

Department of Biological and Environmental Sciences, Gothenburg Global Biodiversity Centre, University of Gothenburg, Box 461, 405 30 Göteborg, Sweden.

Tom W May (TW)

Royal Botanic Gardens Victoria, Birdwood Ave, Melbourne, VIC 3004, Australia.

Andy F S Taylor (AFS)

The James Hutton Institute, Craigiebuckler, Aberdeen AB15 8QH, UK.
Institute of Biological and Environmental Sciences, University of Aberdeen, Cruickshank Building, St Machar Drive, Aberdeen AB24 3UU, UK.

Thomas Stjernegaard Jeppesen (TS)

Global Biodiversity Information Facility, 2100 Copenhagen, Denmark.

Tobias Guldberg Frøslev (TG)

GLOBE Institute, University of Copenhagen, Øster Voldgade 5-7, 1350 København, Denmark.

Björn D Lindahl (BD)

Systematic Biology, Evolutionary Biology Centre, Uppsala University, Norbyvägen 18D, 75236 Uppsala, Sweden.

Kadri Põldmaa (K)

Natural History Museum, University of Tartu, 14a Ravila, 50411 Tartu, Estonia.
Institute of Ecology and Earth Sciences, University of Tartu, 14a Ravila, 50411 Tartu, Estonia.

Irja Saar (I)

Institute of Ecology and Earth Sciences, University of Tartu, 14a Ravila, 50411 Tartu, Estonia.

Ave Suija (A)

Natural History Museum, University of Tartu, 14a Ravila, 50411 Tartu, Estonia.
Institute of Ecology and Earth Sciences, University of Tartu, 14a Ravila, 50411 Tartu, Estonia.

Anton Savchenko (A)

Institute of Ecology and Earth Sciences, University of Tartu, 14a Ravila, 50411 Tartu, Estonia.

Iryna Yatsiuk (I)

Institute of Ecology and Earth Sciences, University of Tartu, 14a Ravila, 50411 Tartu, Estonia.

Kristjan Adojaan (K)

Natural History Museum, University of Tartu, 14a Ravila, 50411 Tartu, Estonia.

Filipp Ivanov (F)

Natural History Museum, University of Tartu, 14a Ravila, 50411 Tartu, Estonia.

Timo Piirmann (T)

Natural History Museum, University of Tartu, 14a Ravila, 50411 Tartu, Estonia.

Raivo Pöhönen (R)

Natural History Museum, University of Tartu, 14a Ravila, 50411 Tartu, Estonia.

Allan Zirk (A)

Natural History Museum, University of Tartu, 14a Ravila, 50411 Tartu, Estonia.

Kessy Abarenkov (K)

Natural History Museum, University of Tartu, 14a Ravila, 50411 Tartu, Estonia.

Classifications MeSH