Evidence map›Paper›PMID 34168191›Full record

ArticleScientific reports2021

High-throughput 16S rRNA gene sequencing of the microbial community associated with palm oil mill effluents of two oil processing systems.

Benedicte Ella Zranseu Aka, Theodore N'dede Djeni, Simon Laurent Tiemele Amoikon, Jan Kannengiesser, Naaila Ouazzani, Marcellin Koffi Dje

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

6 authors.

Benedicte Ella Zranseu AkaLaboratoire de Biotechnologie et Microbiologie des Aliments, Université Nangui Abrogoua, 02 BP 801, Abidjan, Côte d'Ivoire. beneaka1990@yahoo.fr.
Theodore N'dede DjeniLaboratoire de Biotechnologie et Microbiologie des Aliments, Université Nangui Abrogoua, 02 BP 801, Abidjan, Côte d'Ivoire. tdjeni@yahoo.fr.
Simon Laurent Tiemele AmoikonLaboratoire de Biotechnologie et Microbiologie des Aliments, Université Nangui Abrogoua, 02 BP 801, Abidjan, Côte d'Ivoire.
Jan KannengiesserInstitute IWAR, Faculty of Civil and Environmental Engineering, Technische Universität Darmstadt, Darmstadt, Germany.
Naaila OuazzaniLaboratory of Hydrobiology, Ecotoxicology and Sanitation (LHEA, URAC 33), Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco.
Marcellin Koffi DjeLaboratoire de Biotechnologie et Microbiologie des Aliments, Université Nangui Abrogoua, 02 BP 801, Abidjan, Côte d'Ivoire.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Palm Oil Mill Effluents (POME) are complex fermentative substrates which habour diverse native microbial contaminants. However, knowledge on the microbiota community shift caused by the anthropogenic effects of POME in the environment is up to date still to be extensively documented. In this study, the bacterial and archaeal communities of POME from two palm oil processing systems (artisanal and industrial) were investigated by Illumina MiSeq Platform. Despite the common characteristics of these wastewaters, we found that their microbial communities were significantly different with regard to their diversity and relative abundance of their different Amplicon Sequence Variants (ASV). Indeed, POME from industrial plants harboured as dominant phyla Firmicutes (46.24%), Bacteroidetes (34.19%), Proteobacteria (15.11%), with the particular presence of Spirochaetes, verrucomicrobia and Synergistetes, while those from artisanal production were colonized by Firmicutes (92.06%), Proteobacteria (4.21%) and Actinobacteria (2.09%). Furthermore, 43 AVSs of archaea were detected only in POME from industrial plants and assigned to Crenarchaeota, Diapherotrites, Euryarchaeota and Nanoarchaeaeota phyla, populated mainly by many methane-forming archaea. Definitively, the microbial community composition of POME from both type of processing was markedly different, showing that the history of these ecosystems and various processing conditions have a great impact on each microbial community structure and diversity. By improving knowledge about this microbiome, the results also provide insight into the potential microbial contaminants of soils and rivers receiving these wastewaters.

Indexed as

High-Throughput Nucleotide SequencingIndustrial WasteArchaeaChemical IndustryCote d'IvoireMicrobiotaPalm OilPolymerase Chain ReactionRNA, Ribosomal, 16SIndustrial WastePalm OilRNA, Ribosomal, 16S

Identifiers

PMID34168191
PMCPMC8225864

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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.