Evidence map›Paper›PMID 36857605›Full record

ArticleMycologia

Characterization of root-associated fungi and reduced plant growth in soils from a New Mexico uranium mine.

Taylor A Portman, Abigail Granath, Michael A Mann, Eliane El Hayek, Kelsie Herzer, José M Cerrato, Jennifer A Rudgers

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Mycologia. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
4.2field-weighted citation impact, top 7% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Fungal Planet description sheets: 1614-1696.Fungal systematics and evolution · 2024
    Article
  2. Article
  3. Review
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

7 authors at 1 institution in 1 country.

Taylor A PortmanDepartment of Biology, University of New Mexico, Albuquerque, New Mexico 87131.ORCID 0000-0002-3740-2770
Abigail GranathDepartment of Biology, University of New Mexico, Albuquerque, New Mexico 87131.
Michael A MannDepartment of Biology, University of New Mexico, Albuquerque, New Mexico 87131.
Eliane El HayekDepartment of Pharmaceutical Sciences, College of Pharmacy, University of New Mexico, Albuquerque, New Mexico 87131.
Kelsie HerzerDepartment of Civil, Construction, and Environmental Engineering, University of New Mexico, Albuquerque, New Mexico 87131.
José M CerratoDepartment of Civil, Construction, and Environmental Engineering, University of New Mexico, Albuquerque, New Mexico 87131.
Jennifer A RudgersDepartment of Biology, University of New Mexico, Albuquerque, New Mexico 87131.ORCID 0000-0001-7094-4857
University of New Mexico · US

Funding

UNM Metals Exposure and Toxicity Assessment on tribal Lands in the Southwest (METALS) Superfund Research ProgramP42ES025589 · NIEHS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI CERRATO, JOSE MANUEL · 2017 to 2025
$16.4M
NIEHS NIH HHS P42 ES025589
6 · The paper itself

Abstract

Characterizing the diverse, root-associated fungi in mine wastes can accelerate the development of bioremediation strategies to stabilize heavy metals. Ascomycota fungi are well known for their mutualistic associations with plant roots and, separately, for roles in the accumulation of toxic compounds from the environment, such as heavy metals. We sampled soils and cultured root-associated fungi from blue grama grass (

Indexed as

AscomycotaUraniumFungiNew MexicoPlant RootsPlantsPoaceaeSoilSoilUraniumDark septate endophyteDarksideafungal bioremediationFusariumheavy metal contaminationroot-associated Ascomycota

Identifiers

PMID36857605
PMCPMC10089371
OpenAlexW4322725942

What OpenQuestion holds

Textmetadata
LicenceTDM
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.