Evidence map›Paper›PMID 42027264›Full record

ArticleBiotechnology reports (Amsterdam, Netherlands)2026

From screening to sequencing: Investigating the monoethylene glycol (MEG) biodegradation by

Mohammad Yousaf Ashfaq, Gaurav Thareja, Farhan A Khan, Sara Al-Marri, Haneen I Eldos, Ismail Al-Shaikh, Ali A Sultan, Karsten Suhre, Maryam Abdulla, Mohsin M Raja and 1 more

Abstract read
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In one paragraph

Article in Biotechnology reports (Amsterdam, Netherlands), 2026. 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

11 authors.

Mohammad Yousaf AshfaqExxonMobil Research Qatar, Qatar Science & Technology Park - Tech 2, P.O. Box 22500, Doha, Qatar.
Gaurav TharejaBioinformatics Core, Weill Cornell Medicine, Qatar Education City, Qatar Foundation, P.O. Box 24144, Doha, Qatar.
Farhan A KhanQatar Energy LNG, Doha, Qatar.
Sara Al-MarriExxonMobil Research Qatar, Qatar Science & Technology Park - Tech 2, P.O. Box 22500, Doha, Qatar.
Haneen I EldosDepartment of Microbiology and Immunology, Weill Cornell Medicine - Qatar, Education City, Qatar Foundation, P.O. Box 24144, Doha, Qatar.
Ismail Al-ShaikhExxonMobil Research Qatar, Qatar Science & Technology Park - Tech 2, P.O. Box 22500, Doha, Qatar.
Ali A SultanDepartment of Microbiology and Immunology, Weill Cornell Medicine - Qatar, Education City, Qatar Foundation, P.O. Box 24144, Doha, Qatar.
Karsten SuhreBioinformatics Core, Weill Cornell Medicine, Qatar Education City, Qatar Foundation, P.O. Box 24144, Doha, Qatar.
Maryam AbdullaQatar Energy LNG, Doha, Qatar.
Mohsin M RajaQatar Energy LNG, Doha, Qatar.
Suhur SaeedExxonMobil Research Qatar, Qatar Science & Technology Park - Tech 2, P.O. Box 22500, Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monoethylene glycol (MEG) is widely used as a hydrate inhibitor in produced water operations; however, its presence complicates treatment processes by increasing chemical oxygen demand (COD) and posing potential environmental risks to receiving water bodies. This study aimed to isolate and identify efficient MEG-degrading bacteria through systematic screening, followed by whole genome sequencing (WGS) of the top-performing strain to elucidate its biodegradation potential and genetic basis. Among 14 bacterial strains representing 9 genera,

Indexed as

Biodegradation pathwayMonoethylene glycolProduced waterStutzerimonas stutzeriWhole genome sequencing

Identifiers

PMID42027264
PMCPMC13101631

What OpenQuestion holds

Textmetadata
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.