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Improved detection of Escherichia coli and coliform bacteria by multiplex PCR

Overview of attention for article published in BMC Biotechnology, June 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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1 news outlet
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3 X users

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352 Mendeley
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Title
Improved detection of Escherichia coli and coliform bacteria by multiplex PCR
Published in
BMC Biotechnology, June 2015
DOI 10.1186/s12896-015-0168-2
Pubmed ID
Authors

Felipe Molina, Elena López-Acedo, Rafael Tabla, Isidro Roa, Antonia Gómez, José E Rebollo

Abstract

The presence of coliform bacteria is routinely assessed to establish the microbiological safety of water supplies and raw or processed foods. Coliforms are a group of lactose-fermenting Enterobacteriaceae, which most likely acquired the lacZ gene by horizontal transfer and therefore constitute a polyphyletic group. Among this group of bacteria is Escherichia coli, the pathogen that is most frequently associated with foodborne disease outbreaks and is often identified by β-glucuronidase enzymatic activity or by the redundant detection of uidA by PCR. Because a significant fraction of essential E. coli genes are preserved throughout the bacterial kingdom, alternative oligonucleotide primers for specific E. coli detection are not easily identified. In this manuscript, two strategies were used to design oligonucleotide primers with differing levels of specificity for the simultaneous detection of total coliforms and E. coli by multiplex PCR. A consensus sequence of lacZ and the orphan gene yaiO were chosen as targets for amplification, yielding 234 bp and 115 bp PCR products, respectively. The assay designed in this work demonstrated superior detection ability when tested with lab collection and dairy isolated lactose-fermenting strains. While lacZ amplicons were found in a wide range of coliforms, yaiO amplification was highly specific for E. coli. Additionally, yaiO detection is non-redundant with enzymatic methods.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 352 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 2 <1%
Malaysia 1 <1%
India 1 <1%
Ghana 1 <1%
Unknown 347 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 58 16%
Student > Master 43 12%
Student > Ph. D. Student 34 10%
Researcher 31 9%
Student > Doctoral Student 20 6%
Other 56 16%
Unknown 110 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 59 17%
Agricultural and Biological Sciences 57 16%
Immunology and Microbiology 35 10%
Environmental Science 18 5%
Chemistry 12 3%
Other 45 13%
Unknown 126 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 05 June 2015.
All research outputs
#2,702,220
of 22,808,725 outputs
Outputs from BMC Biotechnology
#91
of 935 outputs
Outputs of similar age
#36,459
of 267,109 outputs
Outputs of similar age from BMC Biotechnology
#10
of 36 outputs
Altmetric has tracked 22,808,725 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 935 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done well, scoring higher than 89% 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 267,109 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 36 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.