Evidence map›Paper›PMID 33312575›Full record

ArticleJournal of environmental health science & engineering2020

Comparison of performance and efficiency of four methods to extract genomic DNA from oil contaminated soils in southwestern of Iran.

Yalda Basim, Ghasemali Mohebali, Sahand Jorfi, Ramin Nabizadeh, Ata Ghadiri, Mehdi Ahmadi Moghadam, Farid Soleymani, Nematollah Jaafarzadeh Haghighi Fard

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Article in Journal of environmental health science & engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

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

3 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

8 authors.

Yalda Basim *Environmental Technologies Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Ghasemali MohebaliMicrobiology and Biotechnology Research Group, Research Institute of Petroleum Industry, Tehran, Iran.
Sahand Jorfi *Environmental Technologies Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Ramin NabizadehDepartment of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Ata GhadiriDepartment of Immunology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Mehdi Ahmadi Moghadam *Environmental Technologies Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Farid SoleymaniGene Research Company, Karaj, Iran.
Nematollah Jaafarzadeh Haghighi Fard *Environmental Technologies Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The wide spectrum of oil industry activities caused soil contaminants, as environmental concern in many areas of the world. Bioremediation of oily soils, as biological approach done by bacteria and fungi, is very important to eliminate this pollution. In this study four different metagenomic protocols for DNA extraction has been tested in order to sequence and identify the native bacterial species involved in remediation of oily soils. In this regard, 3 manual methods and a soil DNA extraction kit are used. In manual protocol, physical processes including the addition of silica beads and freezing samples by liquid nitrogen, chemical methods such as treating the lysozyme, and lysis buffer and proteinase K as biochemical methods were utilized for optimal extraction. Quality and quantity of the extracted DNA analyzed using Agarose gel electrophoresis and Picodrop respectively. Then, the 16S rdna gene of bacteria amplified through universal primer for preparing a genomic library by PCR. Results showed that the highest concentration and quality of extracted DNA was obtained by protocol D which was about 135 μg/ul and 260/230 = 2.2 respectively. Moreover, 500 bp fragment amplified perfectly by using DNA extracted through protocol D in the PCR test. Therefore, protocol D can be used as an appropriate and effective way in order to study the microbial population of oily soils using direct extraction of DNA.

Indexed as

DNA extractionElectrophoresisMetagenomeOily soilRemediation

Identifiers

PMID33312575
PMCPMC7721925

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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.