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Genetic relatedness of faecal coliforms and enterococci bacteria isolated from water and sediments of the Apies River, Gauteng, South Africa

Overview of attention for article published in AMB Express, January 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

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2 tweeters
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1 Google+ user

Citations

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12 Dimensions

Readers on

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48 Mendeley
Title
Genetic relatedness of faecal coliforms and enterococci bacteria isolated from water and sediments of the Apies River, Gauteng, South Africa
Published in
AMB Express, January 2017
DOI 10.1186/s13568-016-0319-4
Pubmed ID
Authors

Mutshiene Deogratias Ekwanzala, Akebe Luther King Abia, Eunice Ubomba-Jaswa, Jitendra Keshri, Ndombo Benteke Maggy Momba

Abstract

To date, the microbiological quality of river sediments and its impact on water resources are not included in the water quality monitoring assessment. Therefore, the aim of this study was to establish genetic relatedness between faecal coliforms and enterococci isolated from the river water and riverbed sediments of Apies River to better understand the genetic similarity of microorganisms between the sediment and water phases. Indicator bacteria were subjected to a molecular study, which consisted of PCR amplification and sequence analysis of the 16S rRNA and 23S rRNA gene using specific primers for faecal coliforms and enterococci, respectively. Results revealed that the Apies River had high faecal pollution levels with enterococci showing low to moderate correlation coefficient (r(2) values ranged from 0.2605 to 0.7499) compared to the faecal coliforms which showed zero to low correlation (r(2) values ranged from 0.0027 to 0.1407) indicating that enterococci may be better indicator than faecal coliforms for detecting faecal contamination in riverbed sediments. The phylogenetic tree of faecal coliforms revealed a 98% homology among their nucleotide sequences confirming the close genetic relatedness between river water and riverbed sediment isolates. The phylogenetic tree of the enterococci showed that Enterococcus faecalis and Enterococcus faecium are the predominant species found in both river water and riverbed sediments with bootstrap values of ≥99%. A high degree of genetic relatedness between sediment and water isolates indicated a possible common ancestry and transmission pathway. We recommend the microbial monitoring of riverbed sediments as it harbours more diverse microbial community and once resuspended may cause health and environmental problems.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 8 17%
Student > Bachelor 6 13%
Student > Doctoral Student 6 13%
Researcher 6 13%
Other 3 6%
Other 10 21%
Unknown 9 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 17%
Biochemistry, Genetics and Molecular Biology 6 13%
Environmental Science 5 10%
Immunology and Microbiology 4 8%
Medicine and Dentistry 3 6%
Other 11 23%
Unknown 11 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 28 March 2018.
All research outputs
#3,715,966
of 12,719,839 outputs
Outputs from AMB Express
#96
of 796 outputs
Outputs of similar age
#123,787
of 367,678 outputs
Outputs of similar age from AMB Express
#16
of 85 outputs
Altmetric has tracked 12,719,839 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 796 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done well, scoring higher than 86% 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 367,678 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.