Evidence map›Paper›PMID 32258507›Full record

ArticleHeliyon2020

Role of bacterivorous organisms on fungal-based systems for natural tannin degradation.

Cristiana Sigona, Alessandra Bardi, Letizia Modeo, Gualtiero Mori, Alexey Potekhin, Franco Verni, Giulio Munz, Giulio Petroni

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2020. 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

8 authors.

Cristiana SigonaInstitut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Passeig Marítim de la Barceloneta 37-49, 08003, Barcelona, Catalonia, Spain.
Alessandra BardiDepartment of Civil and Environmental Engineering, University of Florence, Via Santa Marta 3, 50139, Florence, Italy.
Letizia ModeoDepartment of Biology, University of Pisa, Via Alessandro Volta 4, 56126, Pisa, Italy.
Gualtiero MoriCER2CO (Centro Ricerca Reflui Conciari), Via Arginale Ovest 81, 56028, San Romano-San Miniato, Pisa, Italy.
Alexey PotekhinDepartment of Microbiology, Faculty of Biology, Saint-Petersburg State University, 7/9 University Embankment, 199034, Saint Petersburg, Russia.
Franco VerniDepartment of Biology, University of Pisa, Via Alessandro Volta 4, 56126, Pisa, Italy.
Giulio MunzDepartment of Civil and Environmental Engineering, University of Florence, Via Santa Marta 3, 50139, Florence, Italy.
Giulio PetroniDepartment of Biology, University of Pisa, Via Alessandro Volta 4, 56126, Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tannery wastewater presents high concentrations of organic load and pollutant recalcitrant molecules (e.g. tannins), which reduce the efficiency of biological treatment processes. Recent studies showed that several fungal species and strains are effective in the degradation of tannins. However, high bacterial load can negatively affect fungal growth, reducing system stability and degradation performances. The aim of the present study was to evaluate the effects of the introduction of bacterivorous grazers (ciliates and/or rotifers) in batch scale experiments using fungi to remove Tara tannin, i.e. to check the potential synergistic effect between fungi and bacterivorous grazers in the degradation of recalcitrant compounds. In this context, the ciliated grazers

Indexed as

Bacterivorous organismsBatch testsBiotechnologyFungal degradationGrazingMicrobiologyMicroorganismMycologyProtozoaTannins removal

Identifiers

PMID32258507
PMCPMC7118291

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.