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Metagenomic analysis of microbial community and function involved in cd-contaminated soil

Overview of attention for article published in BMC Microbiology, February 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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1 blog
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1 Wikipedia page

Citations

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168 Dimensions

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Title
Metagenomic analysis of microbial community and function involved in cd-contaminated soil
Published in
BMC Microbiology, February 2018
DOI 10.1186/s12866-018-1152-5
Pubmed ID
Authors

Gang Feng, Tian Xie, Xin Wang, Jiuyuan Bai, Lin Tang, Hai Zhao, Wei Wei, Maolin Wang, Yun Zhao

Abstract

Soil contaminated with the heavy metal Cadmium (Cd) is a widespread problem in many parts of the world. Based on metagenomic analysis, we investigated the functional potential and structural diversity of the microbial community in Cd-contaminated and non-contaminated soil samples and we explored the associated metabolic pathway network in cluster of orthologous groups (COG) and Kyoto Encyclopedia of Genes and Genomes (KEGG). The results showed that microorganisms in these soils were quite abundant, and many of them possessed numerous physiological functions. However, Cd-contamination has the potential to reduce the microbial diversity and further alter the community structure in the soil. Notably, function analysis of the crucial microorganisms (e. g. Proteobacteria, Sulfuricella and Thiobacillus) indicated that these bacteria and their corresponding physiological functions were important for the community to cope with Cd pollution. The COG annotation demonstrated that the predominant category was the microbial metabolism cluster in both soil samples, while the relative abundance of metabolic genes was increased in the Cd-contaminated soil. The KEGG annotation results exhibited that the non-contaminated soil had more genes, pathways, modules, orthologies and enzymes involved in metabolic pathways of microbial communities than the Cd-contaminated soil. The relative abundance of some dominant KEGG pathways increased in the Cd contaminated soil, and they were mostly enriched to the metabolism, biosynthesis and degradation of amino acids, fatty acids and nucleotides, which was related to Cd tolerance of the microorganisms. Cd-contamination can decrease the taxonomic species of microbes in soil and change the soil microbial composition. The functional pathways involved in the soil change with microbial structure variation, many of which are related to the heavy metal tolerance of soil microbes. The Cd-contaminated soil microbes is a potential resource for exploring cadmium resistant or tolerant bacteria.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 330 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 330 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 64 19%
Researcher 40 12%
Student > Master 39 12%
Student > Bachelor 30 9%
Student > Postgraduate 15 5%
Other 48 15%
Unknown 94 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 95 29%
Biochemistry, Genetics and Molecular Biology 62 19%
Environmental Science 24 7%
Immunology and Microbiology 18 5%
Engineering 7 2%
Other 14 4%
Unknown 110 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 20 December 2023.
All research outputs
#2,695,342
of 25,030,708 outputs
Outputs from BMC Microbiology
#190
of 3,459 outputs
Outputs of similar age
#62,328
of 457,103 outputs
Outputs of similar age from BMC Microbiology
#3
of 21 outputs
Altmetric has tracked 25,030,708 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,459 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 94% 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 457,103 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 86% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.