Evidence map›Paper›PMID 34508280›Full record

ArticleMycorrhiza2021

Auditing data resolves systemic errors in databases and confirms mycorrhizal trait consistency for most genera and families of flowering plants.

Mark C Brundrett

Erratum issuedAbstract read
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In one paragraph

Article in Mycorrhiza, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Mark C BrundrettSchool of Biological Sciences, University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia. brundrett@uwa.edu.au.ORCID http://orcid.org/0000-0002-2501-9037

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nearly 150 years of research has accumulated large amounts of data on mycorrhizal association types in plants. However, this important resource includes unreliable allocated traits for some species. An audit of six commonly used data sources revealed a high degree of consistency in the mycorrhizal status of most species, genera and families of vascular plants, but there were some records that contradict the majority of other data (~ 10% of data overall). Careful analysis of contradictory records using rigorous definitions of association types revealed that the majority were diagnosis errors, which often stem from references predating modern knowledge of mycorrhiza types. Other errors are linked to inadequate microscopic examinations of roots or plants with complex root anatomy, such as phi thickenings or beaded roots. Errors consistently occurred at much lower frequencies than correct records but have accumulated in uncorrected databases. This results in less accurate knowledge about dominant plants in some ecosystems because they were sampled more often. Errors have also propagated from one database to another over decades when data were amalgamated without checking their suitability. Due to these errors, it is often incorrect to designate plants reported to have inconsistent mycorrhizas as "facultatively mycorrhizal". Updated protocols for resolving conflicting mycorrhizal data are provided here. These are based on standard morphological definitions of association types, which are the foundations of mycorrhizal science. This analysis also identifies the need for adequate training and mentoring of researchers to maintain the quality of mycorrhizal research.

Indexed as

MagnoliopsidaMycorrhizaeDatabases, FactualEcosystemPlantsDatabase managementData quality controlDefinitionsDiagnosis protocolsMycorrhizal associations

Identifiers

What OpenQuestion holds

Textmetadata
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.