Evidence map›Paper›PMID 33661390›Full record

ArticleMycorrhiza2021

Diesel fuel differentially affects hyphal healing in Gigaspora sp. and Rhizophagus irregularis.

Mónica Garcés-Ruiz, Maryline Calonne-Salmon, Vincent Bremhorst, Stéphane Declerck

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Article in Mycorrhiza, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mónica Garcés-RuizLaboratory of Mycology, Earth and Life Institute, Université catholique de Louvain, Croix du Sud 3, 1348 Louvain-la-Neuve, Belgium.
Maryline Calonne-SalmonLaboratory of Mycology, Earth and Life Institute, Université catholique de Louvain, Croix du Sud 3, 1348 Louvain-la-Neuve, Belgium.
Vincent BremhorstStatistical Methodology and Computing Service, Université catholique de Louvain, Voie du Roman Pays 20, 1348 Louvain-la-Neuve, Belgium.
Stéphane DeclerckLaboratory of Mycology, Earth and Life Institute, Université catholique de Louvain, Croix du Sud 3, 1348 Louvain-la-Neuve, Belgium. stephan.declerck@uclouvain.be.ORCID http://orcid.org/0000-0002-0459-5975

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydrocarbon pollution is an increasing problem affecting soil ecosystems. However, some microorganisms can cope with these pollutants and even facilitate plant establishment and thus phytoremediation. Within soil, arbuscular mycorrhizal fungi (AMF) have developed several strategies to survive and flourish under adverse conditions. Among these is the hyphal healing mechanism (HHM), a process allowing hyphae to re-establish integrity after physical injury. This mechanism differs among species and genera of AMF. However, whether and to what extent hydrocarbon pollution impacts the HHM is unknown. Here, the HHM was monitored in vitro on two AMF strains, Rhizophagus irregularis MUCL 41833 and Gigaspora sp. MUCL 52331, under increasing concentrations of diesel (1, 2, and 5% v:v). The addition of diesel slowed-down the HHM in both fungi. On Gigaspora sp., this effect was limited and most hyphae were able to heal after injury. Conversely, all steps of healing were severely impaired in R. irregularis. That fungus reconnected the injured hyphae at a much lower frequency than the Gigaspora sp., instead investing its energy to link neighboring hyphae or roots, or developing new branches from uninjured hyphae.

Indexed as

GlomeromycotaMycorrhizaeEcosystemFungiGasolineHyphaePlant RootsGasolineArbuscular mycorrhizal fungiCichorium intybus L.Common mycorrhizal networkDiesel fuelHydrocarbon pollutantHyphal healing mechanism

Identifiers

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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.