ArticleData in brief2022
Dataset of 16S rRNA and alkB genes in hydrocarbon polluted soils of Kuwait as revealed by Pyrosequencing.
Article in Data in brief, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
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Who cites it
1 citing paper in PubMed.
- Biostimulation Shaped Microbial Communities in Oil-contaminated Desert Soils.Current microbiology · 2026Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The data in this article was generated by high throughput sequencing of moderately hydrocarbon polluted sites (S1 and S2) and a heavily polluted site (S3) in Kuwait. Deoxyribonucleic acid (DNA) extracted from each site was subjected to polymerase chain reaction (PCR) amplification employing conserved primers of 16S rRNA and alkB genes. Unique Molecular Identifiers (MID) tags were added to individual samples prior to pooling and sequencing on a Roche GS FLX platform using Pyrosequencing Titanium Chemistry. Raw sff files were deposited to the public repository of National Centre for Biotechnology Information (NCBI) under accession no PRJNA816075. The sff files were clipped according to the MID tags and converted to fasta format. 16S rRNA gene sequences were aligned against the SILVA database. The predominant genera at S1 and S2 was
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