Literature DB >> 30035303

Protax-fungi: a web-based tool for probabilistic taxonomic placement of fungal internal transcribed spacer sequences.

Kessy Abarenkov1, Panu Somervuo2, R Henrik Nilsson3,4, Paul M Kirk5, Tea Huotari6, Nerea Abrego6, Otso Ovaskainen2,7.   

Abstract

Incompleteness of reference sequence databases and unresolved taxonomic relationships complicates taxonomic placement of fungal sequences. We developed Protax-fungi, a general tool for taxonomic placement of fungal internal transcribed spacer (ITS) sequences, and implemented it into the PlutoF platform of the UNITE database for molecular identification of fungi. With empirical data on root- and wood-associated fungi, Protax-fungi reliably identified (with at least 90% identification probability) the majority of sequences to the order level but only around one-fifth of them to the species level, reflecting the current limited coverage of the databases. Protax-fungi outperformed the Sintax and Rdb classifiers in terms of increased accuracy and decreased calibration error when applied to data on mock communities representing species groups with poor sequence database coverage. We applied Protax-fungi to examine the internal consistencies of the Index Fungorum and UNITE databases. This revealed inconsistencies in the taxonomy database as well as mislabelling and sequence quality problems in the reference database. The according improvements were implemented in both databases. Protax-fungi provides a robust tool for performing statistically reliable identifications of fungi in spite of the incompleteness of extant reference sequence databases and unresolved taxonomic relationships.
© 2018 The Authors. New Phytologist © 2018 New Phytologist Trust.

Keywords:  annotation; data quality; environmental sequencing; fungi; identification tool; internal transcribed spacer (ITS); molecular species identification; probabilistic taxonomic assignment

Mesh:

Substances:

Year:  2018        PMID: 30035303     DOI: 10.1111/nph.15301

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  12 in total

1.  Unambiguous identification of fungi: where do we stand and how accurate and precise is fungal DNA barcoding?

Authors:  Robert Lücking; M Catherine Aime; Barbara Robbertse; Andrew N Miller; Hiran A Ariyawansa; Takayuki Aoki; Gianluigi Cardinali; Pedro W Crous; Irina S Druzhinina; David M Geiser; David L Hawksworth; Kevin D Hyde; Laszlo Irinyi; Rajesh Jeewon; Peter R Johnston; Paul M Kirk; Elaine Malosso; Tom W May; Wieland Meyer; Maarja Öpik; Vincent Robert; Marc Stadler; Marco Thines; Duong Vu; Andrey M Yurkov; Ning Zhang; Conrad L Schoch
Journal:  IMA Fungus       Date:  2020-07-10       Impact factor: 3.515

2.  Expanding and testing fluorescent amplified fragment length polymorphisms for identifying roots of boreal forest plant species.

Authors:  Paul Metzler; Marc La Flèche; Justine Karst
Journal:  Appl Plant Sci       Date:  2019-04-08       Impact factor: 1.936

3.  Assessment of BOLD and GenBank - Their accuracy and reliability for the identification of biological materials.

Authors:  Kelly A Meiklejohn; Natalie Damaso; James M Robertson
Journal:  PLoS One       Date:  2019-06-19       Impact factor: 3.240

4.  The UNITE database for molecular identification of fungi: handling dark taxa and parallel taxonomic classifications.

Authors:  Rolf Henrik Nilsson; Karl-Henrik Larsson; Andy F S Taylor; Johan Bengtsson-Palme; Thomas S Jeppesen; Dmitry Schigel; Peter Kennedy; Kathryn Picard; Frank Oliver Glöckner; Leho Tedersoo; Irja Saar; Urmas Kõljalg; Kessy Abarenkov
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

5.  Vegetation type determines spore deposition within a forest-agricultural mosaic landscape.

Authors:  Miguel A Redondo; Anna Berlin; Johanna Boberg; Jonàs Oliva
Journal:  FEMS Microbiol Ecol       Date:  2020-06-01       Impact factor: 4.194

6.  Metabarcoding of insect-associated fungal communities: a comparison of internal transcribed spacer (ITS) and large-subunit (LSU) rRNA markers.

Authors:  Angelina Ceballos-Escalera; John Richards; Maria Belen Arias; Daegan J G Inward; Alfried P Vogler
Journal:  MycoKeys       Date:  2022-03-08       Impact factor: 2.984

7.  Assessing the Diversity and Metabolic Potential of Psychrotolerant Arsenic-Metabolizing Microorganisms From a Subarctic Peatland Used for Treatment of Mining-Affected Waters by Culture-Dependent and -Independent Techniques.

Authors:  Aileen Ziegelhöfer; Katharina Kujala
Journal:  Front Microbiol       Date:  2021-07-06       Impact factor: 5.640

8.  Figures of merit and statistics for detecting faulty species identification with DNA barcodes: A case study in Ramaria and related fungal genera.

Authors:  María P Martín; Pablo P Daniëls; David Erickson; John L Spouge
Journal:  PLoS One       Date:  2020-08-19       Impact factor: 3.240

Review 9.  High-throughput identification and diagnostics of pathogens and pests: Overview and practical recommendations.

Authors:  Leho Tedersoo; Rein Drenkhan; Sten Anslan; Carmen Morales-Rodriguez; Michelle Cleary
Journal:  Mol Ecol Resour       Date:  2018-12-04       Impact factor: 7.090

10.  Variation in Fungal Community in Grapevine (Vitis vinifera) Nursery Stock Depends on Nursery, Variety and Rootstock.

Authors:  Sarah B Lade; Dora Štraus; Jonàs Oliva
Journal:  J Fungi (Basel)       Date:  2022-01-03
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