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Metagenomic insights into effects of spent engine oil perturbation on the microbial community composition and function in a tropical agricultural soil

Overview of attention for article published in Environmental Science and Pollution Research, January 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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1 blog
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Citations

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50 Mendeley
Title
Metagenomic insights into effects of spent engine oil perturbation on the microbial community composition and function in a tropical agricultural soil
Published in
Environmental Science and Pollution Research, January 2017
DOI 10.1007/s11356-017-8364-3
Pubmed ID
Authors

Lateef B. Salam, Sunday O. Obayori, Francisca O. Nwaokorie, Aisha Suleiman, Raheemat Mustapha

Abstract

Analyzing the microbial community structure and functions become imperative for ecological processes. To understand the impact of spent engine oil (SEO) contamination on microbial community structure of an agricultural soil, soil microcosms designated 1S (agricultural soil) and AB1 (agricultural soil polluted with SEO) were set up. Metagenomic DNA extracted from the soil microcosms and sequenced using Miseq Illumina sequencing were analyzed for their taxonomic and functional properties. Taxonomic profiling of the two microcosms by MG-RAST revealed the dominance of Actinobacteria (23.36%) and Proteobacteria (52.46%) phyla in 1S and AB1 with preponderance of Streptomyces (12.83%) and Gemmatimonas (10.20%) in 1S and Geodermatophilus (26.24%), Burkholderia (15.40%), and Pseudomonas (12.72%) in AB1, respectively. Our results showed that soil microbial diversity significantly decreased in AB1. Further assignment of the metagenomic reads to MG-RAST, Cluster of Orthologous Groups (COG) of proteins, Kyoto Encyclopedia of Genes and Genomes (KEGG), GhostKOALA, and NCBI's CDD hits revealed diverse metabolic potentials of the autochthonous microbial community. It also revealed the adaptation of the community to various environmental stressors such as hydrocarbon hydrophobicity, heavy metal toxicity, oxidative stress, nutrient starvation, and C/N/P imbalance. To the best of our knowledge, this is the first study that investigates the effect of SEO perturbation on soil microbial communities through Illumina sequencing. The results indicated that SEO contamination significantly affects soil microbial community structure and functions leading to massive loss of nonhydrocarbon degrading indigenous microbiota and enrichment of hydrocarbonoclastic organisms such as members of Proteobacteria and Actinobacteria.

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Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 16%
Student > Master 7 14%
Student > Doctoral Student 7 14%
Other 5 10%
Student > Bachelor 2 4%
Other 10 20%
Unknown 11 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 24%
Environmental Science 7 14%
Biochemistry, Genetics and Molecular Biology 7 14%
Immunology and Microbiology 4 8%
Medicine and Dentistry 2 4%
Other 2 4%
Unknown 16 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 May 2017.
All research outputs
#4,358,230
of 23,911,072 outputs
Outputs from Environmental Science and Pollution Research
#776
of 9,883 outputs
Outputs of similar age
#84,442
of 424,693 outputs
Outputs of similar age from Environmental Science and Pollution Research
#12
of 117 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,883 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 91% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 424,693 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.