Evidence map›Paper›PMID 32179938›Full record

ArticleArchives of microbiology2020

Intimate communication between Comamonas aquatica and Fusarium solani in remediation of heavy metal-polluted environments.

Karzan Qurbani, Haider Hamzah

Abstract read
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In one paragraph

Article in Archives of microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 38 citations in OpenAlex.

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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

2 authors at 2 institutions in 1 country.

Karzan QurbaniDepartment of Biology, College of Science, University of Raparin, Rania, Kurdistan Region, Iraq.
Haider HamzahDepartment of Biology, College of Science, University of Sulaimani, Sulaymaniyah, Kurdistan Region, Iraq. haider.hamzah@univsul.edu.iq.
University of Raparin · IQUniversity of Sulaimani · IQ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Worldwide, humanity is facing a major environmental crisis with the disposal of heavy metal contaminated waste. The current study describes, for the first time, the interactions between gram-negative Comamonas aquatica and filamentous fungus Fusarium solani in removing heavy metal toxicity as an eco-friendly system. When combined, C. aquatica and F. solani grew well in a co-culture setup without showing any antagonistic indications. Monoculture versus co-culture setups were used to determine the metal tolerance concentration (MTC). Based on the metal tolerance concentration (MTC) values, cells of C. aquatica were able to tolerate 4, 5, 6, and 7 mM of Cr, Zn, Cu, and Ni, respectively. Moreover, C. aquatica withstood up to 6 mM of Pb. Although F. solani exhibited sensitivity to high concentrations of heavy metals in monoculture, the MTC of F. solani increased considerably in a co-culture setup. The results presented here revealed that F. solani facilitated the dispersion of C. aquatica and heightened bioavailability, whereas C. aquatica reduced the toxicity of heavy metals and promoted the growth of F. solani. Transmission electron microscopy (TEM) displayed different mechanisms for heavy metal removal by C. aquatica. Biosorption was evident for Cr and Pb, while transformation was recorded for Ni and Zn. Also, C. aquatica was able to reduce and accumulate Cu in cells.

Indexed as

Biodegradation, EnvironmentalComamonasFusariumMetals, HeavyMicrobial InteractionsSoil PollutantsMetals, HeavySoil PollutantsBioremediationComamonasFungal–bacterial interactionFusariumHeavy metals

Identifiers

PMID32179938
OpenAlexW3012059718

What OpenQuestion holds

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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.