Evidence map›Paper›PMID 35099622›Full record

ArticleMycorrhiza2022

Environmental identification of arbuscular mycorrhizal fungi using the LSU rDNA gene region: an expanded database and improved pipeline.

Camille S Delavaux, Robert J Ramos, Sidney L Sturmer, James D Bever

Open access · hybridAbstract read
In one paragraph

Article in Mycorrhiza, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
9.0field-weighted citation impact, top 2% of its field
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

23 citing papers in PubMed, 45 citations in OpenAlex.

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  15. EUKARYOME: the rRNA gene reference database for identification of all eukaryotes.Database : the journal of biological databases and curation · 2024
    Article
  16. Diversity of Arbuscular Mycorrhizal Fungi of the Rhizosphere ofJournal of fungi (Basel, Switzerland) · 2024
    Article
  17. Article
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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

4 authors at 2 institutions in 3 countries.

Camille S DelavauxDepartment of Ecology and Evolutionary Biology, The University of Kansas, 2041 Haworth Hall, 1200 Sunnyside Avenue, Lawrence, KS, 66045, USA. camille.delavaux@usys.ethz.ch.ORCID http://orcid.org/0000-0002-8340-2173
Robert J RamosDepartment of Ecology and Evolutionary Biology, The University of Kansas, 2041 Haworth Hall, 1200 Sunnyside Avenue, Lawrence, KS, 66045, USA.
Sidney L SturmerDepartamento de Ciências Naturais, Universidade Regional de Blumenau, R. Antônio da Veiga 140Santa Catarina, Blumenau, 89030-903, Brazil.
James D BeverDepartment of Ecology and Evolutionary Biology, The University of Kansas, 2041 Haworth Hall, 1200 Sunnyside Avenue, Lawrence, KS, 66045, USA.
University of Kansas · USUniversidade Regional de Blumenau · BR

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico Process 307.995/2019-4National Science Foundation BII-2120153National Science Foundation DBI-2027458National Science Foundation DEB-1556664National Science Foundation DEB-1738041National Science Foundation OIA-1656006
6 · The paper itself

Abstract

Arbuscular mycorrhizal fungi (AMF; Glomeromycota) are difficult to culture; therefore, establishing a robust amplicon-based approach to taxa identification is imperative to describe AMF diversity. Further, due to low and biased sampling of AMF taxa, molecular databases do not represent the breadth of AMF diversity, making database matching approaches suboptimal. Therefore, a full description of AMF diversity requires a tool to determine sequence-based placement in the Glomeromycota clade. Nonetheless, commonly used gene regions, including the SSU and ITS, do not enable reliable phylogenetic placement. Here, we present an improved database and pipeline for the phylogenetic determination of AMF using amplicons from the large subunit (LSU) rRNA gene. We improve our database and backbone tree by including additional outgroup sequences. We also improve an existing bioinformatics pipeline by aligning forward and reverse reads separately, using a universal alignment for all tree building, and implementing a BLAST screening prior to tree building to remove non-homologous sequences. Finally, we present a script to extract AMF belonging to 11 major families as well as an amplicon sequencing variant (ASV) version of our pipeline. We test the utility of the pipeline by testing the placement of known AMF, known non-AMF, and Acaulospora sp. spore sequences. This work represents the most comprehensive database and pipeline for phylogenetic placement of AMF LSU amplicon sequences within the Glomeromycota clade.

Indexed as

GlomeromycotaMycorrhizaeDNA, RibosomalPhylogenyDNA, RibosomalAmplicon sequencingBioinformaticsEnvironmental DNAGlomeromycotaLarge subunitPhylogenetics

Identifiers

PMID35099622
PMCPMC8907093
OpenAlexW4210330209

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.