Evidence map›Paper›PMID 26308620›Full record

ArticlePloS one2015

Diversity of Marine-Derived Fungal Cultures Exposed by DNA Barcodes: The Algorithm Matters.

Nikos Andreakis, Lone Høj, Philip Kearns, Michael R Hall, Gavin Ericson, Rose E Cobb, Benjamin R Gordon, Elizabeth Evans-Illidge

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Scaling up discovery of hidden diversity in fungi: impacts of barcoding approaches.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016
    Review
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Nikos AndreakisAustralian Institute of Marine Science, PMB 3, Townsville, Queensland, 4810, Australia.
Lone HøjAustralian Institute of Marine Science, PMB 3, Townsville, Queensland, 4810, Australia.
Philip KearnsAustralian Institute of Marine Science, PMB 3, Townsville, Queensland, 4810, Australia.
Michael R HallAustralian Institute of Marine Science, PMB 3, Townsville, Queensland, 4810, Australia.
Gavin EricsonAustralian Institute of Marine Science, PMB 3, Townsville, Queensland, 4810, Australia.
Rose E CobbAustralian Institute of Marine Science, PMB 3, Townsville, Queensland, 4810, Australia.
Benjamin R GordonAustralian Institute of Marine Science, PMB 3, Townsville, Queensland, 4810, Australia.
Elizabeth Evans-IllidgeAustralian Institute of Marine Science, PMB 3, Townsville, Queensland, 4810, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Marine fungi are an understudied group of eukaryotic microorganisms characterized by unresolved genealogies and unstable classification. Whereas DNA barcoding via the nuclear ribosomal internal transcribed spacer (ITS) provides a robust and rapid tool for fungal species delineation, accurate classification of fungi is often arduous given the large number of partial or unknown barcodes and misidentified isolates deposited in public databases. This situation is perpetuated by a paucity of cultivable fungal strains available for phylogenetic research linked to these data sets. We analyze ITS barcodes produced from a subsample (290) of 1781 cultured isolates of marine-derived fungi in the Bioresources Library located at the Australian Institute of Marine Science (AIMS). Our analysis revealed high levels of under-explored fungal diversity. The majority of isolates were ascomycetes including representatives of the subclasses Eurotiomycetidae, Hypocreomycetidae, Sordariomycetidae, Pleosporomycetidae, Dothideomycetidae, Xylariomycetidae and Saccharomycetidae. The phylum Basidiomycota was represented by isolates affiliated with the genera Tritirachium and Tilletiopsis. BLAST searches revealed 26 unknown OTUs and 50 isolates corresponding to previously uncultured, unidentified fungal clones. This study makes a significant addition to the availability of barcoded, culturable marine-derived fungi for detailed future genomic and physiological studies. We also demonstrate the influence of commonly used alignment algorithms and genetic distance measures on the accuracy and comparability of estimating Operational Taxonomic Units (OTUs) by the automatic barcode gap finder (ABGD) method. Large scale biodiversity screening programs that combine datasets using algorithmic OTU delineation pipelines need to ensure compatible algorithms have been used because the algorithm matters.

Indexed as

AlgorithmsBiodiversityDNA Barcoding, TaxonomicAnimalsDNA, Ribosomal SpacerFungiGenetic VariationPhylogenyPoriferaSeawaterSequence Analysis, DNASpecies SpecificityDNA, Ribosomal Spacer

Identifiers

PMID26308620
PMCPMC4550264

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.